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Jun Zhou 0011
Person information
- affiliation: Ant Financial Services Group, AI Department (Beijing), China
Other persons with the same name
- Jun Zhou — disambiguation page
- Jun Zhou 0001
— Griffith University, School of Information and Communication Technology, Nathan, QLD, Australia (and 1 more)
- Jun Zhou 0002
— Broadcom Limited, Irvine, CA, USA (and 1 more)
- Jun Zhou 0003
— Donghua University, College of Information Sciences and Technology, Shanghai, China (and 1 more)
- Jun Zhou 0004
— Southwest University, School of Mathematics and Statistics, Chongqing, China
- Jun Zhou 0005
— Yangtze Normal University, School of Mathematics and Computer Science, Chongqing, China
- Jun Zhou 0006 — Chang'an University, School of Earth Sciences and Resources, Xi'an, China (and 1 more)
- Jun Zhou 0007
— Shanghai Jiao Tong University, Institute of Image Communication and Information Processing, China
- Jun Zhou 0008 — University of California, San Diego, USA
- Jun Zhou 0009 — University of Stuttgart, Germany
- Jun Zhou 0010
— Hohai University, College of Energy and Electrical Engineering, Nanjing, China (and 1 more)
- Jun Zhou 0012
— Zhongyuan Institute of Technology, College of Electronic Information, Zhengzhou, China
- Jun Zhou 0013
— University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA (and 1 more)
- Jun Zhou 0014
— National University of Singapore, School of Computing, Singapore
- Jun Zhou 0015
— Nanjing Agricultural University, College of Engineering, China
- Jun Zhou 0016
— Anhui University, School of Computer Science and Technology, Anhui Engineering Laboratory of IoT Security Technologies, Hefei, China
- Jun Zhou 0017
— University of Electronic Science and Technology of China, Smart ICs and Systems Research Group, Chengdu, China (and 2 more)
- Jun Zhou 0018
— East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jun Zhou 0019
— Hunan Normal University, College of Mathematics and Statistics, Changsha, China (and 1 more)
- Jun Zhou 0020
— Northwestern Polytechnical University, Institute of Precision Guidance and Control / School of Astronautics, Xi'an, China
- Jun Zhou 0021
— Dalian University of Technology, School of Control Science and Engineering, China
- Jun Zhou 0022 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Jun Zhou 0023
— Dalian Maritime University, Information Science and Technology College, China (and 1 more)
- Jun Zhou 0024
— Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Beijing, China
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2020 – today
- 2024
- [j22]Qitao Shi
, Ya-Lin Zhang
, Lu Yu, Feng Zhu, Longfei Li, Jun Zhou, Yanming Fang:
A distribution-free method for probabilistic prediction. Expert Syst. Appl. 237(Part B): 121396 (2024) - [j21]Chao-Chao Chen, Fei Zheng, Jamie Cui, Yuwei Cao, Guanfeng Liu, Jia Wu
, Jun Zhou:
Survey and open problems in privacy-preserving knowledge graph: merging, query, representation, completion, and applications. Int. J. Mach. Learn. Cybern. 15(8): 3513-3532 (2024) - [j20]Weichang Wu
, Xiaolu Zhang
, Shiwan Zhao
, Chilin Fu
, Jun Zhou:
Multi-Task Decouple Learning With Hierarchical Attentive Point Process. IEEE Trans. Knowl. Data Eng. 36(4): 1741-1757 (2024) - [c185]Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu:
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. AAAI 2024: 9414-9421 - [c184]Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou:
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations. AAAI 2024: 11944-11952 - [c183]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs. AAAI 2024: 19189-19196 - [c182]Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou:
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. AAAI 2024: 21107-21115 - [c181]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR 2024 - [c180]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 2024 - [c179]Xiuyuan Qi, Ye Liu, Shuang Hao, Zherong Liu, Kun Huang, Minghui Yang, Liang Zhou, Jun Zhou:
A High-Performance ORB Accelerator with Algorithm and Hardware Co-design for Visual Localization. ISCAS 2024: 1-5 - [c178]Bin Han, Ya-Lin Zhang, Lu Yu, Biying Chen, Longfei Li, Jun Zhou:
Modeling Treatment Effect with Cross-Domain Data. PAKDD (1) 2024: 365-377 - [c177]Yankun Ren
, Zhongde Chen
, Xinxing Yang
, Longfei Li
, Cong Jiang
, Lei Cheng
, Bo Zhang
, Linjian Mo
, Jun Zhou
:
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR 2024: 345-354 - [c176]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang
, Xu Min, Yong He, Liang Zhang, Jun Zhou
, Linjian Mo, Jinjie Gu
, Zhongyi Liu, Wenliang Zhong, Guannan Zhang, Chenliang Li, Fajie Yuan:
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c175]Binzong Geng
, Zhaoxin Huan
, Xiaolu Zhang
, Yong He
, Liang Zhang
, Fajie Yuan
, Jun Zhou
, Linjian Mo
:
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR 2024: 2311-2315 - [c174]Cong Jiang
, Zhongde Chen
, Bo Zhang
, Yankun Ren
, Xin Dong
, Lei Cheng
, Xinxing Yang
, Longfei Li
, Jun Zhou
, Linjian Mo
:
GATS: Generative Audience Targeting System for Online Advertising. SIGIR 2024: 2920-2924 - [c173]Chunjing Gan
, Bo Huang
, Binbin Hu
, Jian Ma
, Zhiqiang Zhang
, Jun Zhou
, Guannan Zhang
, Wenliang Zhong
:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM 2024: 228-237 - [c172]Yakun Wang
, Binbin Hu
, Shuo Yang
, Meiqi Zhu
, Zhiqiang Zhang
, Qiyang Zhang
, Jun Zhou
, Guo Ye
, Huimei He
:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM 2024: 760-768 - [c171]Ya-Lin Zhang
, Caizhi Tang
, Lu Yu
, Jun Zhou
, Longfei Li
, Qing Cui
, Fangfang Fan
, Linbo Jiang
, Xiaosong Zhao
:
Domain Level Interpretability: Interpreting Black-box Model with Domain-specific Embedding. WSDM 2024: 1102-1105 - [c170]Junpeng Fang
, Gongduo Zhang
, Qing Cui
, Lihong Gu
, Longfei Li
, Jinjie Gu
, Jun Zhou
:
Counterfactual Data Augmentation for Debiased Coupon Recommendations Based on Potential Knowledge. WWW (Companion Volume) 2024: 93-102 - [c169]Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou:
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. WWW (Companion Volume) 2024: 103-111 - [c168]Shuhan Wang
, Bin Shen
, Xu Min
, Yong He
, Xiaolu Zhang
, Liang Zhang
, Jun Zhou
, Linjian Mo
:
Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) 2024: 112-120 - [c167]Yongduo Sui
, Caizhi Tang
, Zhixuan Chu
, Junfeng Fang
, Yuan Gao
, Qing Cui
, Longfei Li
, Jun Zhou
, Xiang Wang
:
Invariant Graph Learning for Causal Effect Estimation. WWW 2024: 2552-2562 - [c166]Shaowei Wei
, Zhengwei Wu
, Xin Li
, Qintong Wu
, Zhiqiang Zhang
, Jun Zhou
, Lihong Gu
, Jinjie Gu
:
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. WWW 2024: 3767-3776 - [c165]Yuling Wang
, Changxin Tian
, Binbin Hu
, Yanhua Yu
, Ziqi Liu
, Zhiqiang Zhang
, Jun Zhou
, Liang Pang
, Xiao Wang
:
Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW 2024: 3876-3887 - [i110]Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen:
A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR abs/2401.01286 (2024) - [i109]Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, Zhaoxin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CoRR abs/2401.04338 (2024) - [i108]Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou:
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. CoRR abs/2402.06633 (2024) - [i107]Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang:
Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR abs/2403.04260 (2024) - [i106]Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li:
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. CoRR abs/2403.07623 (2024) - [i105]Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo:
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR abs/2403.19347 (2024) - [i104]Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu:
Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. CoRR abs/2404.07219 (2024) - [i103]Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, Zhaoxin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou:
AntDT: A Self-Adaptive Distributed Training Framework for Leader and Straggler Nodes. CoRR abs/2404.09679 (2024) - [i102]Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li:
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations. CoRR abs/2404.15766 (2024) - [i101]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR abs/2405.14616 (2024) - [i100]Fan Liu, Liang Yao, Chuanyi Zhang, Ting Wu, Xinlei Zhang, Xiruo Jiang, Jun Zhou:
Scale-Invariant Feature Disentanglement via Adversarial Learning for UAV-based Object Detection. CoRR abs/2405.15465 (2024) - [i99]Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang:
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs. CoRR abs/2405.16064 (2024) - [i98]Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR abs/2405.17132 (2024) - [i97]Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou:
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR abs/2405.19893 (2024) - [i96]Boxin Zhao, Weishi Wang, Dingyuan Zhu, Ziqi Liu, Dong Wang, Zhiqiang Zhang, Jun Zhou, Mladen Kolar:
Personalized Binomial DAGs Learning with Network Structured Covariates. CoRR abs/2406.06829 (2024) - [i95]Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei:
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. CoRR abs/2406.12227 (2024) - [i94]Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu, Siqiao Xue:
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting. CoRR abs/2406.12242 (2024) - [i93]Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen:
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR abs/2406.14282 (2024) - 2023
- [j19]Ya-Lin Zhang
, Jun Zhou, Qitao Shi, Longfei Li:
Exploring the combination of self and mutual teaching for tabular-data-related semi-supervised regression. Expert Syst. Appl. 213(Part): 118931 (2023) - [j18]Caizhi Tang
, Qing Cui
, Longfei Li, Jun Zhou:
GINT: A Generative Interpretability method via perturbation in the latent space. Expert Syst. Appl. 232: 120570 (2023) - [j17]Ting Wu, Hong Qian, Ziqi Liu, Jun Zhou, Aimin Zhou:
Bi-objective evolutionary Bayesian network structure learning via skeleton constraint. Frontiers Comput. Sci. 17(6): 176350 (2023) - [j16]Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, Chaochao Chen:
SQLFlow: An Extensible Toolkit Integrating DB and AI. J. Mach. Learn. Res. 24: 116:1-116:9 (2023) - [j15]Jin Zhao
, Yu Zhang
, Ligang He
, Qikun Li
, Xiang Zhang
, Xinyu Jiang
, Hui Yu
, Xiaofei Liao
, Hai Jin
, Lin Gu
, Haikun Liu
, Bingsheng He
, Ji Zhang
, Xianzheng Song
, Lin Wang
, Jun Zhou
:
GraphTune: An Efficient Dependency-Aware Substrate to Alleviate Irregularity in Concurrent Graph Processing. ACM Trans. Archit. Code Optim. 20(3): 37:1-37:24 (2023) - [j14]Yiming Wu
, Zhiyuan Xie, Shouling Ji
, Zhenguang Liu
, Xuhong Zhang, Changting Lin
, Shuiguang Deng
, Jun Zhou, Ting Wang
, Raheem Beyah:
Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study. IEEE Trans. Dependable Secur. Comput. 20(2): 1169-1185 (2023) - [j13]Pengyu Qiu
, Xuhong Zhang, Shouling Ji
, Tianyu Du
, Yuwen Pu, Jun Zhou, Ting Wang
:
Your Labels are Selling You Out: Relation Leaks in Vertical Federated Learning. IEEE Trans. Dependable Secur. Comput. 20(5): 3653-3668 (2023) - [j12]Kai Zhang
, Qi Liu
, Hao Qian
, Biao Xiang
, Qing Cui
, Jun Zhou, Enhong Chen
:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(1): 377-389 (2023) - [j11]Feng Zhu
, Yan Wang
, Jun Zhou, Chaochao Chen
, Longfei Li
, Guanfeng Liu
:
A Unified Framework for Cross-Domain and Cross-System Recommendations. IEEE Trans. Knowl. Data Eng. 35(2): 1171-1184 (2023) - [j10]Qinghua Zheng, Zhen Peng
, Zhuohang Dang
, Linchao Zhu
, Ziqi Liu, Zhiqiang Zhang, Jun Zhou:
Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9715-9727 (2023) - [c164]Yi-Xuan Sun
, Ya-Lin Zhang
, Wei Wang
, Longfei Li
, Jun Zhou
:
Treatment Effect Estimation across Domains. CIKM 2023: 2352-2361 - [c163]Changxin Tian
, Binbin Hu
, Wayne Xin Zhao
, Zhiqiang Zhang
, Jun Zhou
:
Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM 2023: 2442-2451 - [c162]Ke Tu
, Wei Qu
, Zhengwei Wu
, Zhiqiang Zhang
, Zhongyi Liu
, Yiming Zhao
, Le Wu
, Jun Zhou
, Guannan Zhang
:
Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM 2023: 2482-2491 - [c161]Lu Yu
, Meng Li
, Ya-Lin Zhang
, Longfei Li
, Jun Zhou
:
FINRule: Feature Interactive Neural Rule Learning. CIKM 2023: 3020-3029 - [c160]Xu Min
, Xiaolu Zhang
, Bin Shen
, Shuhan Wang
, Yong He
, Changsheng Li
, Jun Zhou
:
SeqGen: A Sequence Generator via User Side Information for Behavior Sparsity in Recommendation. CIKM 2023: 4205-4209 - [c159]Youshao Xiao
, Shangchun Zhao
, Zhenglei Zhou
, Zhaoxin Huan
, Lin Ju
, Xiaolu Zhang
, Lin Wang
, Jun Zhou
:
G-Meta: Distributed Meta Learning in GPU Clusters for Large-Scale Recommender Systems. CIKM 2023: 4365-4369 - [c158]Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou:
Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. CIKM 2023: 4567-4573 - [c157]Hongyan Hao
, Zhixuan Chu
, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Y. Zhang, Wei Jiang, Siqiao Xue, Jun Zhou
:
Continual Learning in Predictive Autoscaling. CIKM 2023: 4616-4622 - [c156]Jun Zhou, Qitao Shi, Yi Ding, Lin Wang, Longfei Li, Feng Zhu:
AntTune: An Efficient Distributed Hyperparameter Optimization System for Large-Scale Data. DASFAA (4) 2023: 477-489 - [c155]Ang Li, Jian Hu, Wei Lu, Ke Ding, Xiaolu Zhang, Jun Zhou, Yong He, Liang Zhang, Lihong Gu:
Global-Aware Model-Free Self-distillation for Recommendation System. DASFAA (4) 2023: 515-518 - [c154]Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou:
A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) 2023: 519-531 - [c153]Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao:
Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA (4) 2023: 544-555 - [c152]Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei:
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) 2023: 12081-12095 - [c151]Ya-Lin Zhang
, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. ICDE 2023: 3017-3030 - [c150]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang
:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. ICDE 2023: 3113-3125 - [c149]Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE 2023: 3182-3195 - [c148]Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE 2023: 3235-3247 - [c147]Meng Li, Jun Zhou, Lu Yu, Xiaoguang Huang, Yongfeng Gu, Yi Ding, Hao Ding, Longfei Li:
A Rule-based Decision System for Financial Applications. ICDE 2023: 3535-3548 - [c146]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. ICDM (Workshops) 2023: 588-592 - [c145]Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou:
Towards Open Temporal Graph Neural Networks. ICLR 2023 - [c144]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou:
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. ICML 2023: 33792-33803 - [c143]Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou:
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. IJCAI 2023: 5012-5020 - [c142]Daixin Wang
, Zhiqiang Zhang
, Yeyu Zhao
, Kai Huang
, Yulin Kang
, Jun Zhou
:
Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. KDD 2023: 2233-2242 - [c141]Zhaoxin Huan
, Ang Li
, Xiaolu Zhang
, Xu Min
, Jieyu Yang
, Yong He
, Jun Zhou
:
SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. KDD 2023: 4175-4184 - [c140]Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong:
Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD 2023: 5509-5519 - [c139]Jun Zhou
, Yang Bao
, Daohong Jian
, Hua Wu
:
PDAS: A Practical Distributed ADMM System for Large-Scale Linear Programming Problems at Alipay. KDD 2023: 5717-5727 - [c138]Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou:
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation. NeurIPS 2023 - [c137]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS 2023 - [c136]Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He:
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS 2023 - [c135]Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou:
Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS 2023 - [c134]Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) 2023: 87-103 - [c133]Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou:
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) 2023: 259-274 - [c132]Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) 2023: 387-403 - [c131]Zuoli Tang
, Lin Wang
, Lixin Zou
, Xiaolu Zhang
, Jun Zhou
, Chenliang Li
:
Towards Multi-Interest Pre-training with Sparse Capsule Network. SIGIR 2023: 311-320 - [c130]Yonghui Yang
, Zhengwei Wu
, Le Wu
, Kun Zhang
, Richang Hong
, Zhiqiang Zhang
, Jun Zhou
, Meng Wang
:
Generative-Contrastive Graph Learning for Recommendation. SIGIR 2023: 1117-1126 - [c129]Jingyuan Li
, Yue Zhang
, Xuan Lin
, Xinxing Yang
, Ge Zhou
, Longfei Li
, Hong Chen
, Jun Zhou
:
TAML: Time-Aware Meta Learning for Cold-Start Problem in News Recommendation. SIGIR 2023: 2415-2419 - [c128]Ang Li
, Jian Hu
, Ke Ding
, Xiaolu Zhang
, Jun Zhou
, Yong He
, Xu Min
:
Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. SIGIR 2023: 2471-2475 - [c127]Chunjing Gan
, Binbin Hu
, Bo Huang
, Tianyu Zhao
, Yingru Lin
, Wenliang Zhong
, Zhiqiang Zhang
, Jun Zhou
, Chuan Shi
:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR 2023: 2516-2520 - [c126]Sicong Xie
, Binbin Hu
, Fengze Li
, Ziqi Liu
, Zhiqiang Zhang
, Wenliang Zhong
, Jun Zhou
:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR 2023: 3235-3239 - [c125]Daohong Jian
, Yang Bao
, Jun Zhou
, Hua Wu
:
A Practical Online Allocation Framework at Industry-scale in Constrained Recommendation. SIGIR 2023: 3270-3274 - [c124]Han Zhao
, Qing Cui
, Xinyu Li
, Rongzhou Bao
, Longfei Li
, Jun Zhou
, Zhehao Liu
, Jinghua Feng
:
MDI: A Debiasing Method Combining Unbiased and Biased Data. SIGIR 2023: 3280-3284 - [c123]Junpeng Fang
, Qing Cui
, Gongduo Zhang
, Caizhi Tang
, Lihong Gu
, Longfei Li
, Jinjie Gu
, Jun Zhou
, Fei Wu
:
Alleviating Matching Bias in Marketing Recommendations. SIGIR 2023: 3359-3363 - [c122]Yankun Ren
, Xinxing Yang
, Xingyu Lu
, Longfei Li
, Jun Zhou
, Jinjie Gu
, Guannan Zhang
:
GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. SIGIR 2023: 3364-3368 - [c121]Ya-Lin Zhang
, Yi-Xuan Sun
, Fangfang Fan
, Meng Li
, Yeyu Zhao, Wei Wang, Longfei Li
, Jun Zhou
, Jinghua Feng
:
A Framework for Detecting Frauds from Extremely Few Labels. WSDM 2023: 1124-1127 - [c120]Jun Zhou
, Ke Zhang
, Feng Zhu
, Qitao Shi
, Wenjing Fang
, Lin Wang
, Yi Wang
:
ElasticDL: A Kubernetes-native Deep Learning Framework with Fault-tolerance and Elastic Scheduling. WSDM 2023: 1148-1151 - [c119]Yi Ding
, Jun Zhou
, Qing Cui
, Lin Wang
, Mengqi Zhang
, Yang Dong
:
DistriBayes: A Distributed Platform for Learning, Inference and Attribution on Large Scale Bayesian Network. WSDM 2023: 1184-1187 - [c118]Jianping Wei
, Zhibo Zhu
, Ziqi Liu
, Zhiqiang Zhang
, Jun Zhou
:
AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. WSDM 2023: 1192-1195 - [c117]Dingyuan Zhu
, Daixin Wang
, Zhiqiang Zhang
, Kun Kuang
, Yan Zhang
, Yulin Kang
, Jun Zhou
:
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. WWW 2023: 395-405 - [c116]Jun Zhou
, Meng Li
, Lu Yu
, Longfei Li
, Fei Wu
:
A Practical Rule Learning Framework for Risk Management. WWW (Companion Volume) 2023: 442-446 - [c115]Jun Zhou
, Caizhi Tang
, Qing Cui
, Yi Ding
, Longfei Li
, Fei Wu
:
DGBCT: A Scalable Distributed Gradient Boosting Causal Tree at Alipay. WWW (Companion Volume) 2023: 447-451 - [c114]Jun Zhou
, Chilin Fu
, Xiaolu Zhang
:
Multi-Source Domain Adaptation via Latent Domain Reconstruction. WWW (Companion Volume) 2023: 523-527 - [c113]Lei Chen
, Le Wu
, Kun Zhang
, Richang Hong
, Defu Lian
, Zhiqiang Zhang
, Jun Zhou
, Meng Wang
:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [c112]Jianhao Jia
, Hao Li
, Kai Liu
, Ziqi Liu
, Jun Zhou
, Nikolai Gravin
, Zhihao Gavin Tang
:
Online resource allocation in Markov Chains. WWW 2023: 3498-3507 - [i92]Feng Zhu, Mingjie Zhong, Xinxing Yang, Longfei Li, Lu Yu, Tiehua Zhang, Jun Zhou, Chaochao Chen, Fei Wu, Guanfeng Liu, Yan Wang:
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation. CoRR abs/2302.06141 (2023) - [i91]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian
, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i90]Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou:
Towards Open Temporal Graph Neural Networks. CoRR abs/2303.15015 (2023) - [i89]Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou:
GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR abs/2304.12537 (2023) - [i88]Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR abs/2304.12549 (2023) - [i87]Ya-Lin Zhang, Jun Zhou, Yankun Ren, Yue Zhang, Xinxing Yang, Meng Li, Qitao Shi, Longfei Li:
ALT: An Automatic System for Long Tail Scenario Modeling. CoRR abs/2305.11390 (2023) - [i86]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR abs/2305.16646 (2023) - [i85]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i84]Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou:
InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. CoRR abs/2307.00228 (2023) - [i83]Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Generative Contrastive Graph Learning for Recommendation. CoRR abs/2307.05100 (2023) - [i82]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR abs/2307.08097 (2023) - [i81]Chaochao Chen, Xiaohua Feng, Jun Zhou, Jianwei Yin, Xiaolin Zheng:
Federated Large Language Model: A Position Paper. CoRR abs/2307.08925 (2023) - [i80]Hongyan Hao, Zhixuan Chu, Shiyi Zhu, Gangwei Jiang, Yan Wang, Caigao Jiang, James Zhang, Wei Jiang, Siqiao Xue, Jun Zhou:
Continual Learning in Predictive Autoscaling. CoRR abs/2307.15941 (2023) - [i79]Siqiao Xue, Fan Zhou, Yi Xu, Hongyu Zhao, Shuo Xie, Qingyang Dai, Caigao Jiang, James Y. Zhang, Jun Zhou, Dacheng Xiu, Hongyuan Mei:
WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine. CoRR abs/2308.05361 (2023) - [i78]Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Y. Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Enhancing Recommender Systems with Large Language Model Reasoning Graphs. CoRR abs/2308.10835 (2023) - [i77]Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang:
AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR abs/2308.16437 (2023) - [i76]Yan Wang, Zhixuan Chu, Tao Zhou, Caigao Jiang, Hongyan Hao, Minjie Zhu, Xindong Cai, Qing Cui, Longfei Li, James Y. Zhang, Siqiao Xue, Jun Zhou:
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference. CoRR abs/2309.02868 (2023) - [i75]Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou:
Long-tail Augmented Graph Contrastive Learning for Recommendation. CoRR abs/2309.11177 (2023) - [i74]Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou:
Prompt-augmented Temporal Point Process for Streaming Event Sequence. CoRR abs/2310.04993 (2023) - [i73]Chan Wu
, Hanxiao Zhang, Lin Ju, Jinjing Huang, Youshao Xiao, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou:
Rethinking Memory and Communication Cost for Efficient Large Language Model Training. CoRR abs/2310.06003 (2023) - [i72]Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian
, Ying Wei:
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt. CoRR abs/2310.13024 (2023) - [i71]Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li:
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. CoRR abs/2310.14304 (2023) - [i70]Zhixuan Chu, Huaiyu Guo, Xinyuan Zhou, Yijia Wang, Fei Yu, Hong Chen, Wanqing Xu, Xin Lu, Qing Cui, Longfei Li, Jun Zhou, Sheng Li:
Data-Centric Financial Large Language Models. CoRR abs/2310.17784 (2023) - [i69]Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR abs/2311.13864 (2023) - [i68]Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR abs/2312.01916 (2023) - [i67]Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He:
Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. CoRR abs/2312.04815 (2023) - [i66]Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang:
Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR abs/2312.05276 (2023) - [i65]Youshao Xiao, Weichang Wu, Zhenglei Zhou, Fagui Mao, Shangchun Zhao, Lin Ju, Lei Liang, Xiaolu Zhang, Jun Zhou:
An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training. CoRR abs/2312.11819 (2023) - 2022
- [j9]Jun-Peng Fang, Jun Zhou
, Qing Cui, Caizhi Tang, Longfei Li:
Interpreting Model Predictions with Constrained Perturbation and Counterfactual Instances. Int. J. Pattern Recognit. Artif. Intell. 36(1): 2251001:1-2251001:23 (2022) - [j8]Jun Zhou
, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng
:
FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. 23(12): 1747-1764 (2022) - [j7]Jun Zhou, Longfei Zheng, Chaochao Chen
, Yan Wang
, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Toward Scalable and Privacy-preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. ACM Trans. Intell. Syst. Technol. 13(4): 53:1-53:21 (2022) - [c111]Deyu Bo
, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou:
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI 2022: 3913-3921 - [c110]Mengmei Zhang
, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI 2022: 4363-4370 - [c109]Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang
:
SAIL: Self-Augmented Graph Contrastive Learning. AAAI 2022: 8927-8935 - [c108]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. ACML 2022: 611-626 - [c107]Yue Zhang, Xinxing Yang, Feng Zhu, Yalin Zhang
, Meng Li, Qitao Shi, Longfei Li, Jun Zhou:
A Task-Aware Attention-Based Method for Improved Meta-Learning. APWeb/WAIM (2) 2022: 474-482 - [c106]Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Qinghua Zheng, Jun Zhou, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. CIKM 2022: 520-529 - [c105]Lu Yu, Shichao Pei, Feng Zhu, Longfei Li, Jun Zhou, Chuxu Zhang, Xiangliang Zhang:
A Biased Sampling Method for Imbalanced Personalized Ranking. CIKM 2022: 2393-2402 - [c104]Meng Li, Lu Yu, Ya-Lin Zhang
, Xiaoguang Huang, Qitao Shi, Qing Cui, Xinxing Yang, Longfei Li, Wei Zhu, Yanming Fang, Jun Zhou:
An Adaptive Framework for Confidence-constraint Rule Set Learning Algorithm in Large Dataset. CIKM 2022: 3252-3261 - [c103]Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu:
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. CIKM 2022: 3715-3724 - [c102]Jun-Peng Fang, Caizhi Tang, Qing Cui, Feng Zhu, Longfei Li, Jun Zhou, Wei Zhu:
Semi-Supervised Learning with Data Augmentation for Tabular Data. CIKM 2022: 3928-3932 - [c101]Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu:
FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. CIKM 2022: 4404-4408 - [c100]Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo:
Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM 2022: 4630-4634 - [c99]Lu Yu, Meng Li, Xiaoguang Huang, Wei Zhu, Yanming Fang, Jun Zhou, Longfei Li:
MetaRule: A Meta-path Guided Ensemble Rule Set Learning for Explainable Fraud Detection. CIKM 2022: 4650-4654 - [c98]Linge Jiang, Guiyang Wang, Zhibo Zhu, Binghao Wang, Runsheng Gan, Ziqi Liu, Jun Zhou:
A Real-time Post-processing System for Itinerary Recommendation. CIKM 2022: 4882-4886 - [c97]Yongfeng Gu
, Yue Ning, Hao Ding, Kecai Gu, Daohong Jian, Zhou Xu, Hua Wu, Jun Zhou:
A Self-adaptive Indicator Selection Approach for Solving Credit Risk Assessment. COMPSAC 2022: 1567-1572 - [c96]Shih-Han Chan
, Yinpeng Dong
, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. ECCV Workshops (1) 2022: 396-412 - [c95]Hao Ding, Yongfeng Gu
, Hua Wu, Jun Zhou:
NL-SOMA-CLP for real parameter single objective bound constrained optimization. GECCO Companion 2022: 5-6 - [c94]Yongfeng Gu
, Hao Ding, Hua Wu, Jun Zhou:
Opposite learning and multi-migrating strategy-based self-organizing migrating algorithm with the convergence monitoring mechanism. GECCO Companion 2022: 7-8 - [c93]Yue Ning, Daohong Jian, Hua Wu, Jun Zhou:
Zeroth-order covariance matrix adaptation evolution strategy for single objective bound constrained numerical optimization competition. GECCO Companion 2022: 9-10 - [c92]Yongfeng Gu
, Hao Ding, Kecai Gu, Runsheng Gan, Xiaoguang Huang, Yanming Fang, Zhigang Hua, Hua Wu, Jifeng Xuan, Jun Zhou:
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment. GECCO Companion 2022: 715-718 - [c91]Ang Li, Jian Hu, Chilin Fu, Xiaolu Zhang, Jun Zhou:
Attribute-Conditioned Face Swapping Network for Low-Resolution Images. ICASSP 2022: 2305-2309 - [c90]Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo:
Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE 2022: 3254-3267 - [c89]Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. ICDE 2022: 3320-3326 - [c88]Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu
, Lingjuan Lyu, Jia Wu
, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng:
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification. IJCAI 2022: 1959-1965 - [c87]Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen:
MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI 2022: 2073-2079 - [c86]Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang:
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering. IJCAI 2022: 3766-3772 - [c85]Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou:
A Graph Learning Based Framework for Billion-Scale Offline User Identification. KDD 2022: 4001-4009 - [c84]Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang:
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding. NeurIPS 2022 - [c83]Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou:
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. PAKDD (1) 2022: 143-155 - [c82]Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu:
TAMOR: Tier-Aware Multi-objective Recommendation for Ant Fortune Financial Marketing. ECML/PKDD (6) 2022: 603-606 - [c81]Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou:
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) 2022: 3-16 - [c80]Yupeng Hou
, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180 - [c79]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Weiming Liu, Longfei Li, Jun Zhou, Xiaolin Zheng:
MetaCare++: Meta-Learning with Hierarchical Subtyping for Cold-Start Diagnosis Prediction in Healthcare Data. SIGIR 2022: 449-459 - [c78]Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo:
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR 2022: 3403-3407 - [c77]Yuhao Mao, Chong Fu, Saizhuo Wang
, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. SP 2022: 1423-1439 - [c76]Chong Fu, Xuhong Zhang, Shouling Ji, Jinyin Chen, Jingzheng Wu, Shanqing Guo, Jun Zhou, Alex X. Liu, Ting Wang:
Label Inference Attacks Against Vertical Federated Learning. USENIX Security Symposium 2022: 1397-1414 - [c75]Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu:
Scope-aware Re-ranking with Gated Attention in Feed. WSDM 2022: 804-812 - [c74]Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu:
A Multi-Task Learning Approach for Delayed Feedback Modeling. WWW (Companion Volume) 2022: 116-120 - [c73]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW 2022: 1248-1258 - [i64]Jihong Wang, Minnan Luo, Jundong Li, Ziqi Liu, Jun Zhou, Qinghua Zheng:
Robust Unsupervised Graph Representation Learning via Mutual Information Maximization. CoRR abs/2201.08557 (2022) - [i63]Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou:
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR abs/2201.11349 (2022) - [i62]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i61]Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi:
An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. CoRR abs/2203.01820 (2022) - [i60]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR abs/2204.04063 (2022) - [i59]Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR abs/2205.08285 (2022) - [i58]Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou:
BadDet: Backdoor Attacks on Object Detection. CoRR abs/2205.14497 (2022) - [i57]Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang:
Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. CoRR abs/2207.13329 (2022) - [i56]Shujie Yang, Binchi Zhang
, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Jun Zhou, Minnan Luo:
AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach. CoRR abs/2208.08200 (2022) - [i55]Xinshun Feng, Herun Wan, Shangbin Feng, Hongrui Wang, Jun Zhou, Qinghua Zheng, Minnan Luo:
GraTO: Graph Neural Network Framework Tackling Over-smoothing with Neural Architecture Search. CoRR abs/2208.09027 (2022) - [i54]Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu, Xingwen Zhang, Shuang Yang:
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems. CoRR abs/2210.16986 (2022) - [i53]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. CoRR abs/2211.00249 (2022) - 2021
- [j6]Jun Zhou, Longfei Li
, Ziqi Liu, Chaochao Chen:
A Boosting Framework of Factorization Machine. Int. J. Pattern Recognit. Artif. Intell. 35(10): 2159036:1-2159036:20 (2021) - [j5]Longfei Zheng, Jun Zhou, Chaochao Chen
, Bingzhe Wu, Li Wang, Benyu Zhang:
ASFGNN: Automated separated-federated graph neural network. Peer-to-Peer Netw. Appl. 14(3): 1692-1704 (2021) - [c72]Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang
, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang:
A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. APWeb/WAIM (1) 2021: 134-139 - [c71]Wenjing Fang, Derun Zhao, Jin Tan, Chaochao Chen, Chaofan Yu, Li Wang, Lei Wang, Jun Zhou, Benyu Zhang:
Large-scale Secure XGB for Vertical Federated Learning. CIKM 2021: 443-452 - [c70]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM 2021: 1834-1843 - [c69]Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou:
Counterfactual Review-based Recommendation. CIKM 2021: 2231-2240 - [c68]Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou:
Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. CIKM 2021: 3278-3282 - [c67]Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He:
Low-dimensional Alignment for Cross-Domain Recommendation. CIKM 2021: 3508-3512 - [c66]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CIKM 2021: 3627-3631 - [c65]Jun Zhou, Yang Bao, Hua Wu, Zhigang Hua:
AntOpt: A Multi-functional Large-scale Decision Optimization Platform. CIKM 2021: 4833-4837 - [c64]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. CVPR 2021: 11845-11854 - [c63]Meng Li, Ya-Lin Zhang
, Qitao Shi, Xinxing Yang, Qing Cui, Longfei Li, Jun Zhou:
Constraint-Adaptive Rule Mining in Large Databases. DASFAA (3) 2021: 579-591 - [c62]Minghui Yang
, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li:
IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE 2021: 2559-2570 - [c61]Yankun Ren, Longfei Li, Jun Zhou:
Simtrojan: Stealthy Backdoor Attack. ICIP 2021: 819-823 - [c60]Yulong Wang, Xiaolu Zhang, Jun Zhou, Hang Su:
Rethinking the Effectiveness of Selective Attention in Neural Networks. ICONIP (3) 2021: 532-543 - [c59]Feng Zhu, Yan Wang
, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu
:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI 2021: 4721-4728 - [c58]Ya-Lin Zhang
, Qitao Shi, Meng Li, Xinxing Yang, Longfei Li, Jun Zhou:
A Classification Based Ensemble Pruning Framework with Multi-metric Consideration. IntelliSys (1) 2021: 650-667 - [c57]Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Alex X. Liu, Hao Wang, Cheng Hong:
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. KDD 2021: 2652-2662 - [c56]Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou:
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data. NeurIPS 2021: 12904-12916 - [c55]Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang:
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. NeurIPS 2021: 21453-21466 - [c54]Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu:
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. ECML/PKDD (2) 2021: 383-398 - [c53]Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi:
Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM 2021: 702-710 - [c52]Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo:
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR 2021: 1950-1954 - [c51]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen
:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. WSDM 2021: 984-992 - [i52]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR abs/2103.01696 (2021) - [i51]Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang:
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs. CoRR abs/2106.04927 (2021) - [i50]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models. CoRR abs/2106.15058 (2021) - [i49]Feng Zhu, Yan Wang, Jun Zhou, Chaochao Chen, Longfei Li, Guanfeng Liu:
A Unified Framework for Cross-Domain and Cross-System Recommendations. CoRR abs/2108.07976 (2021) - [i48]Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen:
SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CoRR abs/2108.08022 (2021) - [i47]Binchi Zhang, Minnan Luo, Shangbin Feng, Ziqi Liu, Jun Zhou, Qinghua Zheng:
PPSGCN: A Privacy-Preserving Subgraph Sampling Based Distributed GCN Training Method. CoRR abs/2110.12906 (2021) - [i46]Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou:
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data. CoRR abs/2110.14354 (2021) - [i45]Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu:
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR abs/2111.02100 (2021) - [i44]Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou:
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. CoRR abs/2112.14332 (2021) - 2020
- [j4]Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi:
AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. 13(12): 3125-3137 (2020) - [j3]Chaochao Chen
, Jun Zhou, Bingzhe Wu, Wenjing Fang, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. ACM Trans. Intell. Syst. Technol. 11(5): 52:1-52:20 (2020) - [c50]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. AAAI 2020: 6372-6379 - [c49]Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu:
Pruning from Scratch. AAAI 2020: 12273-12280 - [c48]Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi:
Loan Default Analysis with Multiplex Graph Learning. CIKM 2020: 2525-2532 - [c47]Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang
, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li
, Yu Qiao:
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM 2020: 2853-2860 - [c46]Cen Chen, Bingzhe Wu, Li Wang, Chaochao Chen, Jin Tan, Lei Wang, Jun Zhou, Benyu Zhang:
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial. CIKM 2020: 3369-3372 - [c45]Zhiqiang Zhang, Jun Zhou, Chuan Shi:
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. CIKM 2020: 3485-3488 - [c44]Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou:
Secure Social Recommendation Based on Secret Sharing. ECAI 2020: 506-512 - [c43]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. ECAI 2020: 2156-2163 - [c42]Qitao Shi, Ya-Lin Zhang
, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. ICDE 2020: 1645-1656 - [c41]Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi:
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. IJCAI 2020: 4661-4667 - [c40]Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi:
Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD 2020: 2455-2463 - [c39]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. NeurIPS 2020 - [c38]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) 2020: 127-138 - [c37]Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou:
AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models. ECML/PKDD (5) 2020: 541-545 - [c36]Cen Chen, Ya-Lin Zhang
, Minghui Qiu, Bingzhe Wu, Li Wang, Longfei Li, Jun Zhou:
Automatic Knowledge Fusion in Transferrable Networks for Semantic Text Matching. WWW (Companion Volume) 2020: 73-74 - [c35]Yankun Ren, Jianbin Lin, Jun Zhou:
Neural Zero-Shot Fine-Grained Entity Typing. WWW (Companion Volume) 2020: 846-847 - [i43]Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, Jun Zhou:
Secure Social Recommendation based on Secret Sharing. CoRR abs/2002.02088 (2020) - [i42]Yingting Liu, Chaochao Chen, Longfei Zheng, Li Wang, Jun Zhou, Guiquan Liu:
Privacy Preserving PCA for Multiparty Modeling. CoRR abs/2002.02091 (2020) - [i41]Chaochao Chen, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. CoRR abs/2002.11940 (2020) - [i40]Wenjing Fang, Chaochao Chen, Bowen Song, Li Wang, Jun Zhou, Kenny Q. Zhu:
Adapted tree boosting for Transfer Learning. CoRR abs/2002.11982 (2020) - [i39]Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. CoRR abs/2002.12056 (2020) - [i38]Ziqi Liu, Chaochao Chen, Xinxing Yang, Jun Zhou, Xiaolong Li, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CoRR abs/2002.12307 (2020) - [i37]Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li, Shuang Yang, Yuan Qi:
Uncovering Insurance Fraud Conspiracy with Network Learning. CoRR abs/2002.12789 (2020) - [i36]Daixin Wang, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang, Yuan Qi:
A Semi-supervised Graph Attentive Network for Financial Fraud Detection. CoRR abs/2003.01171 (2020) - [i35]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR abs/2003.01295 (2020) - [i34]Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR abs/2003.01515 (2020) - [i33]Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi:
AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR abs/2003.02454 (2020) - [i32]Qitao Shi, Ya-Lin Zhang, Longfei Li, Xinxing Yang, Meng Li, Jun Zhou:
SAFE: Scalable Automatic Feature Engineering Framework for Industrial Tasks. CoRR abs/2003.02556 (2020) - [i31]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Xiukun Wang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. CoRR abs/2003.02833 (2020) - [i30]Chaochao Chen, Bingzhe Wu, Wenjin Fang, Jun Zhou, Li Wang, Yuan Qi, Xiaolin Zheng:
Practical Privacy Preserving POI Recommendation. CoRR abs/2003.02834 (2020) - [i29]Longfei Zheng, Chaochao Chen, Yingting Liu, Bingzhe Wu, Xibin Wu, Li Wang, Lei Wang, Jun Zhou, Shuang Yang:
Industrial Scale Privacy Preserving Deep Neural Network. CoRR abs/2003.05198 (2020) - [i28]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li:
Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization. CoRR abs/2003.05610 (2020) - [i27]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan Qi:
RNE: A Scalable Network Embedding for Billion-scale Recommendation. CoRR abs/2003.07158 (2020) - [i26]Yankun Ren, Jianbin Lin, Siliang Tang, Jun Zhou, Shuang Yang, Yuan Qi, Xiang Ren:
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models. CoRR abs/2003.10388 (2020) - [i25]Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi:
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR abs/2004.00201 (2020) - [i24]Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu:
Unpack Local Model Interpretation for GBDT. CoRR abs/2004.01358 (2020) - [i23]Chaochao Chen, Liang Li, Wenjing Fang, Jun Zhou, Li Wang, Lei Wang, Shuang Yang, Alex Liu, Hao Wang:
Secret Sharing based Secure Regressions with Applications. CoRR abs/2004.04898 (2020) - [i22]Wenjing Fang, Chaochao Chen, Jin Tan, Chaofan Yu, Yufei Lu, Li Wang, Lei Wang, Jun Zhou, Alex X:
A Hybrid-Domain Framework for Secure Gradient Tree Boosting. CoRR abs/2005.08479 (2020) - [i21]Jun Zhou, Chaochao Chen, Longfei Zheng, Xiaolin Zheng, Bingzhe Wu, Ziqi Liu, Li Wang:
Privacy-Preserving Graph Neural Network for Node Classification. CoRR abs/2005.11903 (2020) - [i20]Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi:
Bandit Samplers for Training Graph Neural Networks. CoRR abs/2006.05806 (2020) - [i19]Chaochao Chen, Jun Zhou, Li Wang, Xibin Wu, Wenjing Fang, Jin Tan, Lei Wang, Xiaoxi Ji, Alex Liu, Hao Wang, Cheng Hong:
When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control. CoRR abs/2008.08753 (2020) - [i18]Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou:
Heterogeneous Graph Neural Network for Recommendation. CoRR abs/2009.00799 (2020) - [i17]Lu Yu, Shichao Pei, Chuxu Zhang, Lizhong Ding, Jun Zhou, Longfei Li, Xiangliang Zhang
:
Self-supervised Smoothing Graph Neural Networks. CoRR abs/2009.00934 (2020) - [i16]Longfei Zheng, Jun Zhou, Chaochao Chen, Bingzhe Wu, Li Wang, Benyu Zhang:
ASFGNN: Automated Separated-Federated Graph Neural Network. CoRR abs/2011.03248 (2020) - [i15]Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen:
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. CoRR abs/2012.06968 (2020) - [i14]Chaochao Chen, Jun Zhou, Longfei Zheng, Yan Wang, Xiaolin Zheng, Bingzhe Wu, Cen Chen, Li Wang, Jianwei Yin:
Towards Scalable and Privacy-Preserving Deep Neural Network via Algorithmic-Cryptographic Co-design. CoRR abs/2012.09364 (2020)
2010 – 2019
- 2019
- [j2]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li
, Yuan Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. Proc. VLDB Endow. 12(12): 2082-2093 (2019) - [j1]Ya-Lin Zhang
, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen
, Xiaolong Li
, Yuan (Alan) Qi, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. 10(5): 55:1-55:19 (2019) - [c34]Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li
, Yuan Qi:
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI 2019: 946-953 - [c33]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li
, Le Song, Yuan Qi:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. AAAI 2019: 4424-4431 - [c32]Wenjing Fang, Chaochao Chen
, Bowen Song
, Li Wang, Jun Zhou, Kenny Q. Zhu:
Adapted Tree Boosting for Transfer Learning. IEEE BigData 2019: 741-750 - [c31]Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou:
DSSLP: A Distributed Framework for Semi-supervised Link Prediction. IEEE BigData 2019: 1557-1566 - [c30]Cen Chen, Chen Liang, Jianbin Lin, Li Wang, Ziqi Liu, Xinxing Yang, Jun Zhou, Shuang Yang, Yuan Qi:
InfDetect: a Large Scale Graph-based Fraud Detection System for E-Commerce Insurance. IEEE BigData 2019: 1765-1773 - [c29]Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM 2019: 2577-2584 - [c28]Daixin Wang, Yuan Qi, Jianbin Lin, Peng Cui, Quanhui Jia, Zhen Wang, Yanming Fang, Quan Yu, Jun Zhou, Shuang Yang:
A Semi-Supervised Graph Attentive Network for Financial Fraud Detection. ICDM 2019: 598-607 - [c27]Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li
:
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. IJCAI 2019: 6497-6499 - [c26]Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. NeurIPS 2019: 306-316 - [c25]Chaochao Chen
, Ziqi Liu, Jun Zhou, Xiaolong Li, Yuan Qi, Yujing Jiao, Xingyu Zhong:
How Much Can A Retailer Sell? Sales Forecasting on Tmall. PAKDD (2) 2019: 204-216 - [c24]Jianbin Lin, Daixin Wang, Lu Guan, Yin Zhao, Binqiang Zhao, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
RNE: A Scalable Network Embedding for Billion-Scale Recommendation. PAKDD (2) 2019: 432-445 - [c23]Chen Liang, Ziqi Liu, Bin Liu, Jun Zhou, Xiaolong Li
, Shuang Yang, Yuan Qi:
Uncovering Insurance Fraud Conspiracy with Network Learning. SIGIR 2019: 1181-1184 - [c22]Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li
, Forrest Sheng Bao:
Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR 2019: 1265-1268 - [c21]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li
, Forrest Sheng Bao:
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW 2019: 2630-2636 - [i13]Shaosheng Cao, Xinxing Yang, Cen Chen, Jun Zhou, Xiaolong Li, Yuan (Alan) Qi:
TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial. CoRR abs/1906.07407 (2019) - [i12]Bingzhe Wu, Shiwan Zhao, Haoyang Xu, Chaochao Chen, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou:
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection. CoRR abs/1908.07882 (2019) - [i11]Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu:
Pruning from Scratch. CoRR abs/1909.12579 (2019) - [i10]Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou:
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics. CoRR abs/1910.02249 (2019) - [i9]Longfei Li, Ziqi Liu, Chaochao Chen, Ya-Lin Zhang, Jun Zhou, Xiaolong Li:
A Time Attention based Fraud Transaction Detection Framework. CoRR abs/1912.11760 (2019) - 2018
- [c20]Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
:
Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization. AAAI 2018: 257-264 - [c19]Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li
:
cw2vec: Learning Chinese Word Embeddings with Stroke n-gram Information. AAAI 2018: 5053-5061 - [c18]Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li
, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi:
NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. IEEE BigData 2018: 1960-1965 - [c17]Ziqi Liu, Chaochao Chen
, Xinxing Yang, Jun Zhou, Xiaolong Li
, Le Song:
Heterogeneous Graph Neural Networks for Malicious Account Detection. CIKM 2018: 2077-2085 - [c16]Zhiqiang Zhang, Chaochao Chen
, Jun Zhou, Xiaolong Li:
An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) 2018: 713-724 - [c15]Wenjing Fang, Jun Zhou, Xiaolong Li, Kenny Q. Zhu:
Unpack Local Model Interpretation for GBDT. DASFAA (2) 2018: 764-775 - [c14]Chaochao Chen
, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
:
Distributed Collaborative Hashing and Its Applications in Ant Financial. KDD 2018: 100-109 - [c13]Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li
, Forrest Sheng Bao:
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. NAACL-HLT (2) 2018: 602-607 - [c12]Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen
, Xiaolong Li:
A Local Online Learning Approach for Non-linear Data. PAKDD (2) 2018: 431-443 - [c11]Ya-Lin Zhang
, Longfei Li, Jun Zhou, Xiaolong Li
, Zhi-Hua Zhou:
Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) 2018: 639-646 - [i8]Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song:
GeniePath: Graph Neural Networks with Adaptive Receptive Paths. CoRR abs/1802.00910 (2018) - [i7]Li Wang, Chaochao Chen, Jun Zhou, Xiaolong Li:
Time-sensitive Customer Churn Prediction based on PU Learning. CoRR abs/1802.09788 (2018) - [i6]Chaochao Chen, Ziqi Liu, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li:
Distributed Collaborative Hashing and Its Applications in Ant Financial. CoRR abs/1804.04918 (2018) - [i5]Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li:
A Boosting Framework of Factorization Machine. CoRR abs/1804.06027 (2018) - [i4]Biao Xiang, Ziqi Liu, Jun Zhou, Xiaolong Li:
Feature Propagation on Graph: A New Perspective to Graph Representation Learning. CoRR abs/1804.06111 (2018) - [i3]Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou:
Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR abs/1805.04234 (2018) - [i2]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR abs/1808.09896 (2018) - 2017
- [c10]Chaochao Chen
, Xinxing Yang, Li Wang, Jun Zhou, Xiaolong Li
:
Large scale app recommendation in Ant Financial. IEEE BigData 2017: 4733-4735 - [c9]Shaosheng Cao, Xinxing Yang, Jun Zhou, Xiaolong Li
, Yuan (Alan) Qi, Kai Xiao:
POSTER: Actively Detecting Implicit Fraudulent Transactions. CCS 2017: 2475-2477 - [c8]Longfei Li, Jun Zhou, Xiaolong Li
, Tao Chen:
POSTER: Practical Fraud Transaction Prediction. CCS 2017: 2535-2537 - [c7]Ziqi Liu, Chaochao Chen
, Jun Zhou, Xiaolong Li
, Feng Xu, Tao Chen, Le Song:
POSTER: Neural Network-based Graph Embedding for Malicious Accounts Detection. CCS 2017: 2543-2545 - [c6]Ya-Lin Zhang
, Longfei Li, Jun Zhou, Xiaolong Li
, Yujiang Liu, Yuanchao Zhang, Zhi-Hua Zhou:
POSTER: A PU Learning based System for Potential Malicious URL Detection. CCS 2017: 2599-2601 - [c5]Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun:
Locally Linear Factorization Machines. IJCAI 2017: 2294-2300 - [c4]Jun Zhou, Xiaolong Li
, Peilin Zhao, Chaochao Chen
, Longfei Li, Xinxing Yang, Qing Cui, Jin Yu, Xu Chen, Yi Ding, Yuan (Alan) Qi:
KunPeng: Parameter Server based Distributed Learning Systems and Its Applications in Alibaba and Ant Financial. KDD 2017: 1693-1702 - [c3]Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li
:
Investigating Stroke-Level Information for Learning Chinese Word Embeddings. ISWC (Posters, Demos & Industry Tracks) 2017 - [c2]Cen Chen, Peilin Zhao, Longfei Li, Jun Zhou, Xiaolong Li
, Minghui Qiu:
Locally Connected Deep Learning Framework for Industrial-scale Recommender Systems. WWW (Companion Volume) 2017: 769-770 - [c1]Jun Zhou, Qing Cui, Xiaolong Li
, Peilin Zhao, Shenquan Qu, Jun Huang:
PSMART: Parameter Server based Multiple Additive Regression Trees System. WWW (Companion Volume) 2017: 879-880 - [i1]Zhiming Wang, Xiaolong Li, Jun Zhou:
Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier. CoRR abs/1709.03665 (2017)
Coauthor Index
aka: Yuan (Alan) Qi
aka: Wenliang Zhong
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