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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j33]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)- 2023
- [j32]Longfei Li, Qijing Wang
, Mengjiao Pei, Hengyuan Wang, Jianhang Guo, Ziqian Hao, Yating Li, Qinyong Dai, Kuakua Lu, Yun Li:
Integration of Neuromorphic and Reconfigurable Logic-in-Memory Operations in an Electrolyte-Manipulated Ferroelectric Organic Neuristor. Adv. Intell. Syst. 5(7) (2023) - [j31]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Yusong Lin, Shanshan Wang:
Expert knowledge guided manifold representation learning for magnetic resonance imaging-based glioma grading. Biomed. Signal Process. Control. 85: 104876 (2023) - [j30]Longfei Li, Meiyun Wang, Xiaoming Jiang, Yusong Lin:
Universal multi-factor feature selection method for radiomics-based brain tumor classification. Comput. Biol. Medicine 164: 107122 (2023) - [j29]Longfei Li, Yongcheng Li, Sanjay K. Bose, Gangxiang Shen:
A generic parallel optimization framework for solving hard problems in optical networks. Comput. Commun. 199: 177-185 (2023) - [j28]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) - [j27]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) - [j26]Longfei Li, Haidong Fu, Xin Xu:
Active learning with sampling by joint global-local uncertainty for salient object detection. Neural Comput. Appl. 35(32): 23387-23399 (2023) - [j25]Houqiang Yu, Biegzat Murat, Jiatong Li, Longfei Li:
How can policy document mentions to scholarly papers be interpreted? An analysis of the underlying mentioning process. Scientometrics 128(11): 6247-6266 (2023) - [j24]Yuyue Guan, Longfei Li, Chao Liu:
Resilience Characteristics and Driving Mechanism of Urban Collaborative Innovation Network - A Case Study of China's New Energy Vehicle Industry. Syst. 11(5): 214 (2023) - [j23]Longfei Li, Yongcheng Li, Sanjay Kumar Bose, Gangxiang Shen:
Topology Planning Using Q-Learning for Microwave-Based Wireless Backhaul Networks. IEEE Trans. Cogn. Commun. Netw. 9(4): 1041-1052 (2023) - [j22]Weishan Zhang, Fa Yu, Xiao Wang, Xingjie Zeng, Hongwei Zhao, Yonglin Tian, Fei-Yue Wang, Longfei Li, Zengxiang Li:
R$^{2}$Fed: Resilient Reinforcement Federated Learning for Industrial Applications. IEEE Trans. Ind. Informatics 19(8): 8829-8840 (2023) - [j21]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) - [j20]Xiaolin Zheng, Yanchao Tan, Yan Wang, Xiangyu Wei, Shengjia Zhang, Chaochao Chen, Longfei Li, Carl J. Yang:
Finding High-Quality Item Attributes for Recommendation. IEEE Trans. Knowl. Data Eng. 35(8): 7980-7993 (2023) - [c58]Longfei Li, Haoyu Chen, Sungwoong Yeom, Shivani Sanjay Kolekar, Kyungbaek Kim:
Network State Prediction with Attention-Based Graph Convolutional Network. APNOMS 2023: 215-218 - [c57]Yi-Xuan Sun, Ya-Lin Zhang, Wei Wang, Longfei Li, Jun Zhou:
Treatment Effect Estimation across Domains. CIKM 2023: 2352-2361 - [c56]Lu Yu, Meng Li, Ya-Lin Zhang, Longfei Li, Jun Zhou:
FINRule: Feature Interactive Neural Rule Learning. CIKM 2023: 3020-3029 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]Shibao Li, Longfei Li, Yunwu Zhang, Chenxu Ma, Chenghzhi Wang:
Sliding Window Kalman Filter-Based DCQCN for RDMA Congestion Control. IECC 2023: 1-6 - [c49]Daohong Niu, Xiaohua Zhang, Longfei Li, Yuxuan Zhou:
HSI-SSTRANS: Hyperspectral Image Classification with Spectral and Space Transformer. IGARSS 2023: 7625-7628 - [c48]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 - [c47]Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi:
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. RecSys 2023: 1049-1053 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]Jun Zhou, Meng Li, Lu Yu, Longfei Li, Fei Wu:
A Practical Rule Learning Framework for Risk Management. WWW (Companion Volume) 2023: 442-446 - [c40]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 - [i26]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) - [i25]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) - [i24]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) - [i23]Zhixuan Chu, Hongyan Hao, Xin Ouyang, Simeng Wang, Yan Wang, Yue Shen, Jinjie Gu, Qing Cui, Longfei Li, Siqiao Xue, James Y. Zhang, Sheng Li:
Leveraging Large Language Models for Pre-trained Recommender Systems. CoRR abs/2308.10837 (2023) - [i22]Yueqi Wang, Yoni Halpern, Shuo Chang, Jingchen Feng, Elaine Ya Le, Longfei Li, Xujian Liang, Min-Cheng Huang, Shane Li, Alex Beutel, Yaping Zhang, Shuchao Bi:
Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders. CoRR abs/2308.12256 (2023) - [i21]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) - [i20]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) - 2022
- [j19]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) - [j18]Ningning Guo, Longfei Li, Biswanath Mukherjee, Gangxiang Shen:
Protection against failure of machine-learning-based QoT prediction. JOCN 14(7): 572-585 (2022) - [j17]Houqiang Yu, Longfei Li, Xueting Cao, Tao Chen:
Exploring country's preference over news mentions to academic papers. J. Informetrics 16(4): 101347 (2022) - [j16]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) - [j15]Xugang Lian, Hailang Zhang, Wu Xiao, Yunping Lei, Linlin Ge, Kai Qin, Yuanwen He, Quanyi Dong, Longfei Li, Yu Han, Haodi Fan, Yu Li, Lifan Shi, Jiang Chang:
Biomass Calculations of Individual Trees Based on Unmanned Aerial Vehicle Multispectral Imagery and Laser Scanning Combined with Terrestrial Laser Scanning in Complex Stands. Remote. Sens. 14(19): 4715 (2022) - [j14]Degui Yao, Longfei Li, Songyang Zhang, Dianhai Zhang, Dezhi Chen:
The Vibroacoustic Characteristics Analysis of Transformer Core Faults Based on Multi-Physical Field Coupling. Symmetry 14(3): 544 (2022) - [j13]Guohua Zhao, Panpan Man, Jie Bai, Longfei Li, Pei Pei Wang, Guan Yang, Lei Shi, Yongcai Tao, Yusong Lin, Jingliang Cheng:
AI-Powered Radiomics Algorithm Based on Slice Pooling for the Glioma Grading. IEEE Trans. Ind. Informatics 18(8): 5383-5393 (2022) - [c39]Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang:
SAIL: Self-Augmented Graph Contrastive Learning. AAAI 2022: 8927-8935 - [c38]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. ACML 2022: 611-626 - [c37]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 - [c36]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 - [c35]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 - [c34]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 - [c33]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 - [c32]Yanchao Tan, Carl Yang, Xiangyu Wei, Chaochao Chen, Longfei Li, Xiaolin Zheng:
Enhancing Recommendation with Automated Tag Taxonomy Construction in Hyperbolic Space. ICDE 2022: 1180-1192 - [c31]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. ICML 2022: 26865-26894 - [c30]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 - [c29]Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou:
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. PAKDD (1) 2022: 143-155 - [c28]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 - [i19]Yeqi Wang, Longfei Li, Cheng Li, Yan Xi, Hairong Zheng, Yusong Lin, Shanshan Wang:
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading. CoRR abs/2201.02746 (2022) - [i18]Peng Zhao, Longfei Li, Zhi-Hua Zhou:
Dynamic Regret of Online Markov Decision Processes. CoRR abs/2208.12483 (2022) - [i17]Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou:
Robust Direct Learning for Causal Data Fusion. CoRR abs/2211.00249 (2022) - 2021
- [j12]Yong Zhao, Le Yang, Ercheng Pei, Meshia Cédric Oveneke, Mitchel Alioscha-Pérez, Longfei Li, Dongmei Jiang, Hichem Sahli:
Action Unit Driven Facial Expression Synthesis from a Single Image with Patch Attentive GAN. Comput. Graph. Forum 40(6): 47-61 (2021) - [j11]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) - [j10]Houqiang Yu, Biegzat Murat, Longfei Li, Tingting Xiao:
How accurate are Twitter and Facebook altmetrics data? A comparative content analysis. Scientometrics 126(5): 4437-4463 (2021) - [c27]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 - [c26]Kaixuan Guo, Jun Wu, Wan Wan, Longfei Li, Tao Wang, Xingliang Zhu, Lei Qu:
Biomedical Image Segmentation Based on Classification Supervision. ICBBT 2021: 22-27 - [c25]Yankun Ren, Longfei Li, Jun Zhou:
Simtrojan: Stealthy Backdoor Attack. ICIP 2021: 819-823 - [c24]Jianhua Wang, Longfei Li, Zhifeng Liu, Jingjing Xu, Congbin Yang, Qiang Cheng:
A Spatial Layout Method of Robots Relative to Operating Space Based on Its Flexible Workspace Simulation. ICIRA (1) 2021: 3-13 - [c23]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. IJCAI 2021: 4721-4728 - [c22]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 - [c21]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 - [i16]Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu:
Cross-Domain Recommendation: Challenges, Progress, and Prospects. CoRR abs/2103.01696 (2021) - [i15]Longfei Li, Hangjie Ji, Qi Tang:
Stable finite difference methods for Kirchhoff-Love plates on overlapping grids. CoRR abs/2105.05401 (2021) - [i14]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) - [i13]Longfei Li, Rui Yang, Xin Chen, Cheng Li, Hairong Zheng, Yusong Lin, Zaiyi Liu, Shanshan Wang:
Radiomic biomarker extracted from PI-RADS 3 patients support more eìcient and robust prostate cancer diagnosis: a multi-center study. CoRR abs/2112.13686 (2021) - 2020
- [j9]Longfei Li:
A split-step finite-element method for incompressible Navier-Stokes equations with high-order accuracy up-to the boundary. J. Comput. Phys. 408: 109274 (2020) - [j8]Longfei Li, Jingzhou Zhang, Pengde Wang, Pengjun Guo:
基于节点兴趣和Q-learning的P2P网络搜索机制 (P2P Network Search Mechanism Based on Node Interest and Q-learning). 计算机科学 47(2): 221-226 (2020) - [j7]Jingjing Xu, Zhifeng Liu, Congbin Yang, Longfei Li, Yanhu Pei:
A Pseudo-Distance Algorithm for Collision Detection of Manipulators Using Convex-Plane-Polygons-based Representation. Robotics Comput. Integr. Manuf. 66: 101993 (2020) - [c20]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 - [c19]Ruofan Liang, Tianlin Li, Longfei Li, Jing Wang, Quanshi Zhang:
Knowledge Consistency between Neural Networks and Beyond. ICLR 2020 - [c18]Ningning Guo, Longfei Li, Lian Xiang, Sanjay Kumar Bose, Gangxiang Shen:
What if AI Fails: Protection against Failure of AI-Based QoT Prediction. OFC 2020: 1-3 - [c17]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 - [c16]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 - [i12]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) - [i11]Ya-Lin Zhang, Longfei Li:
Interpretable MTL from Heterogeneous Domains using Boosted Tree. CoRR abs/2003.07077 (2020) - [i10]Duong T. A. Nguyen, Longfei Li, Hangjie Ji:
Stable and accurate numerical methods for generalized Kirchhoff-Love plates. CoRR abs/2008.01693 (2020) - [i9]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) - [i8]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)
2010 – 2019
- 2019
- [j6]Longfei Li, Ya Zhang, Wei Chen, Sanjay K. Bose, Moshe Zukerman, Gangxiang Shen:
Naïve Bayes Classifier-Assisted Least Loaded Routing for Circuit-Switched Networks. IEEE Access 7: 11854-11867 (2019) - [j5]Hangjie Ji, Longfei Li:
Numerical methods for thermally stressed shallow shell equations. J. Comput. Appl. Math. 362: 626-652 (2019) - [j4]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) - [c15]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 - [c14]Ya-Lin Zhang, Longfei Li:
Interpretable MTL from Heterogeneous Domains using Boosted Tree. CIKM 2019: 2053-2056 - [i7]Ruofan Liang, Tianlin Li, Longfei Li, Quanshi Zhang:
Knowledge Isomorphism between Neural Networks. CoRR abs/1908.01581 (2019) - [i6]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
- [c13]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 - [c12]Ke Chen, Chao Guo, Longfei Li, Sanjay K. Bose, Gangxiang Shen:
Maximizing Availability-Weighted Slice Capacity for Sliceable Wireless-Optical Broadband Access Networks. OFC 2018: 1-3 - [c11]Fengxian Tang, Longfei Li, Sanjay K. Bose, Gangxiang Shen:
Assigning Counter-Propagating Cores in Multi-Core Fiber Optical Networks to Suppress Inter-Core Crosstalk and Inefficiency due to Bi-directional Traffic Asymmetry. OFC 2018: 1-3 - [c10]Ya-Lin Zhang, Longfei Li, Jun Zhou, Xiaolong Li, Zhi-Hua Zhou:
Anomaly Detection with Partially Observed Anomalies. WWW (Companion Volume) 2018: 639-646 - [i5]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) - [i4]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) - [i3]Longfei Li, Peilin Zhao, Jun Zhou, Xiaolong Li:
A Boosting Framework of Factorization Machine. CoRR abs/1804.06027 (2018) - [i2]Gangxiang Shen, Longfei Li, Ya Zhang, Wei Chen, Sanjay K. Bose, Moshe Zukerman:
Machine Learning-Assisted Least Loaded Routing to Improve Performance of Circuit-Switched Networks. CoRR abs/1804.08403 (2018) - [i1]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) - 2017
- [j3]Xin Chen, Longfei Li, Xudong Xiang:
Ant colony learning method for joint MCS and resource block allocation in LTE Femtocell downlink for multimedia applications with QoS guarantees. Multim. Tools Appl. 76(3): 4035-4054 (2017) - [c9]