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2020 – today
- 2024
[j25]Chenglong Wang
, Jie Nie, Weizhi Nie, Peizhe Yin, Di Niu, Xinyue Liang, Shusong Yu:
Cross-domain correlation representation for new fault categories discovery in rolling bearings. Inf. Process. Manag. 61(2): 103659 (2024)- [j24]Amirhosein Ghasemabadi, Muhammad Kamran Janjua, Mohammad Salameh, Chunhua Zhou, Fengyu Sun, Di Niu:
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. Trans. Mach. Learn. Res. 2024 (2024) - [c91]Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu:
Instruction Fusion: Advancing Prompt Evolution through Hybridization. ACL (1) 2024: 3883-3893 - [c90]Sijia Chen, Baochun Li, Di Niu:
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. ICLR 2024 - [c89]Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu:
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. ICLR 2024 - [c88]Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu:
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. ICML 2024 - [c87]Mingjun Zhao, Liyao Jiang, Yakun Yu, Xinmin Wang, Yi Yuan, Zheng Wei, Di Niu:
DimReg: Embedding Dimension Search via Regularization for Recommender Systems. SDM 2024: 562-570 - [c86]Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li:
HyperFLoRA: Federated Learning with Instantaneous Personalization. SDM 2024: 824-832 - [i52]Shengyao Lu, Keith G. Mills, Jiao He, Bang Liu, Di Niu:
GOAt: Explaining Graph Neural Networks via Graph Output Attribution. CoRR abs/2401.14578 (2024) - [i51]Amirhosein Ghasemabadi, Mohammad Salameh, Muhammad Kamran Janjua, Chunhua Zhou, Fengyu Sun, Di Niu:
CascadedGaze: Efficiency in Global Context Extraction for Image Restoration. CoRR abs/2401.15235 (2024) - [i50]Sijia Chen, Baochun Li, Di Niu:
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. CoRR abs/2402.11140 (2024) - [i49]Jiuding Yang, Hui Liu, Weidong Guo, Zhuwei Rao, Yu Xu, Di Niu:
SIFiD: Reassess Summary Factual Inconsistency Detection with LLM. CoRR abs/2403.07557 (2024) - [i48]Keith G. Mills, Fred X. Han, Mohammad Salameh, Shengyao Lu, Chunhua Zhou, Jiao He, Fengyu Sun, Di Niu:
Building Optimal Neural Architectures using Interpretable Knowledge. CoRR abs/2403.13293 (2024) - [i47]Shengyao Lu, Bang Liu, Keith G. Mills, Jiao He, Di Niu:
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time. CoRR abs/2405.01762 (2024) - [i46]Chenglin Li, Yuanzhen Xie, Chenyun Yu, Lei Cheng, Bo Hu, Zang Li, Di Niu:
CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network. CoRR abs/2405.08013 (2024) - [i45]Jiuding Yang, Weidong Guo, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu:
Optimizing and Testing Instruction-Following: Analyzing the Impact of Fine-Grained Instruction Variants on instruction-tuned LLMs. CoRR abs/2406.11301 (2024) - 2023
- [c85]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors beyond Image Classification. AAAI 2023: 9180-9189 - [c84]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. AAAI 2023: 9190-9199 - [c83]Jiuding Yang, Jinwen Luo, Weidong Guo, Di Niu, Yu Xu:
Exploiting Hierarchically Structured Categories in Fine-grained Chinese Named Entity Recognition. ACL (Findings) 2023: 3407-3421 - [c82]Jiuding Yang, Yakun Yu, Di Niu, Weidong Guo, Yu Xu:
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis. ACL (1) 2023: 7617-7630 - [c81]Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu:
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. ACL (Findings) 2023: 13610-13624 - [c80]Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu:
Mulco: Recognizing Chinese Nested Named Entities through Multiple Scopes. CIKM 2023: 2980-2989 - [c79]Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu:
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. CIKM 2023: 3030-3039 - [c78]Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu:
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CVPR 2023: 10627-10636 - [c77]Ruichen Chen, Shengyao Lu, Mohamed A. Elgammal, Peter Chun, Vaughn Betz, Di Niu:
VPR-Gym: A Platform for Exploring AI Techniques in FPGA Placement Optimization. FPL 2023: 72-78 - [c76]Ruoxi Li, Jie Nie, Chenglong Wang, Di Niu, Shusong Yu, Weizhi Nie, Xiangqian Ding:
Unknown Fault Detection of Rolling Bearing Based on Similarity Mining of Stationary and Non-stationary Features. HCMA@MM 2023: 41-49 - [c75]Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Robin Luwei, Shangling Jui, Di Niu:
Reparameterization through Spatial Gradient Scaling. ICLR 2023 - [c74]Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu:
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. KDD 2023: 4239-4251 - [c73]Bahador Rashidi, Chao Gao, Shan Lu, Zhisheng Wang, Chunhua Zhou, Di Niu, Fengyu Sun:
UNICO: Unified Hardware Software Co-Optimization for Robust Neural Network Acceleration. MICRO 2023: 77-90 - [c72]Mohammad Salameh, Keith G. Mills, Negar Hassanpour, Fred X. Han, Shuting Zhang, Wei Lu, Shangling Jui, Chunhua Zhou, Fengyu Sun, Di Niu:
AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. NeurIPS 2023 - [c71]Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo:
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) 2023: 16-28 - [c70]Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu:
TCR: Short Video Title Generation and Cover Selection with Attention Refinement. PAKDD (3) 2023: 245-256 - [c69]Shan Lu, Mingjun Zhao, Songling Yuan, Xiaoli Wang, Lei Yang, Di Niu:
BDA: Bandit-based Transferable AutoAugment. SDM 2023: 550-558 - [c68]Peng Liu, Yi Liu, Rui Zhu, Linglong Kong, Bei Jiang, Di Niu:
Optimal Smooth Approximation for Quantile Matrix Factorization. SDM 2023: 595-603 - [c67]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. SDM 2023: 721-729 - [c66]Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu:
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. WSDM 2023: 366-374 - [c65]Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu:
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. WWW 2023: 1784-1792 - [i44]Fred X. Han, Keith G. Mills, Fabian Chudak, Parsa Riahi, Mohammad Salameh, Jialin Zhang, Wei Lu, Shangling Jui, Di Niu:
A General-Purpose Transferable Predictor for Neural Architecture Search. CoRR abs/2302.10835 (2023) - [i43]Alexander Detkov, Mohammad Salameh, Muhammad Fetrat Qharabagh, Jialin Zhang, Wei Lui, Shangling Jui, Di Niu:
Reparameterization through Spatial Gradient Scaling. CoRR abs/2303.02733 (2023) - [i42]Jian Ma, Mingjun Zhao, Chen Chen, Ruichen Wang, Di Niu, Haonan Lu, Xiaodong Lin:
GlyphDraw: Learning to Draw Chinese Characters in Image Synthesis Models Coherently. CoRR abs/2303.17870 (2023) - [i41]Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu:
LA3: Efficient Label-Aware AutoAugment. CoRR abs/2304.10310 (2023) - [i40]Mingjun Zhao, Yakun Yu, Xiaoli Wang, Lei Yang, Di Niu:
Search-Map-Search: A Frame Selection Paradigm for Action Recognition. CoRR abs/2304.10316 (2023) - [i39]Mingjun Zhao, Mengzhen Wang, Yinglong Ma, Di Niu, Haijiang Wu:
CEIL: A General Classification-Enhanced Iterative Learning Framework for Text Clustering. CoRR abs/2304.11061 (2023) - [i38]Yakun Yu, Jiuding Yang, Weidong Guo, Hui Liu, Yu Xu, Di Niu:
TCR: Short Video Title Generation and Cover Selection with Attention Refinement. CoRR abs/2304.12561 (2023) - [i37]Yakun Yu, Mingjun Zhao, Shiang Qi, Feiran Sun, Baoxun Wang, Weidong Guo, Xiaoli Wang, Lei Yang, Di Niu:
ConKI: Contrastive Knowledge Injection for Multimodal Sentiment Analysis. CoRR abs/2306.15796 (2023) - [i36]Yakun Yu, Shiang Qi, Jiuding Yang, Liyao Jiang, Di Niu:
iHAS: Instance-wise Hierarchical Architecture Search for Deep Learning Recommendation Models. CoRR abs/2309.07967 (2023) - [i35]Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu:
AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness. CoRR abs/2309.08159 (2023) - [i34]Weidong Guo, Jiuding Yang, Kaitong Yang, Xiangyang Li, Zhuwei Rao, Yu Xu, Di Niu:
Instruction Fusion: Advancing Prompt Evolution through Hybridization. CoRR abs/2312.15692 (2023) - 2022
- [j23]Qikai Lu, Hongwen Zhang, Husam Kinawi, Di Niu:
Self-Attentive Models for Real-Time Malware Classification. IEEE Access 10: 95970-95985 (2022) - [j22]Bang Liu, Hanlin Zhang, Linglong Kong, Di Niu:
Factorizing Historical User Actions for Next-Day Purchase Prediction. ACM Trans. Web 16(1): 1:1-1:26 (2022) - [c64]Mingjun Zhao, Shan Lu, Zixuan Wang, Xiaoli Wang, Di Niu:
LA3: Efficient Label-Aware AutoAugment. ECCV (21) 2022: 262-277 - [c63]Jinwen Luo, Jiuding Yang, Weidong Guo, Chenglin Li, Di Niu, Yu Xu:
MatRank: Text Re-ranking by Latent Preference Matrix. EMNLP (Findings) 2022: 2011-2023 - [c62]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. ICLR 2022 - [c61]Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen:
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. KDD 2022: 4332-4341 - [c60]Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. WSDM 2022: 571-581 - [i33]Shengyao Lu, Bang Liu, Keith G. Mills, Shangling Jui, Di Niu:
R5: Rule Discovery with Reinforced and Recurrent Relational Reasoning. CoRR abs/2205.06454 (2022) - [i32]Jiuding Yang, Jinwen Luo, Weidong Guo, Jerry Chen, Di Niu, Yu Xu:
Mulco: Recognizing Chinese Nested Named Entities Through Multiple Scopes. CoRR abs/2211.10854 (2022) - [i31]Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang Li, Guoqiang Shu, Xiaohu Qie, Di Niu:
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation. CoRR abs/2211.11964 (2022) - [i30]Keith G. Mills, Fred X. Han, Jialin Zhang, Fabian Chudak, Ali Safari Mamaghani, Mohammad Salameh, Wei Lu, Shangling Jui, Di Niu:
GENNAPE: Towards Generalized Neural Architecture Performance Estimators. CoRR abs/2211.17226 (2022) - [i29]Keith G. Mills, Di Niu, Mohammad Salameh, Weichen Qiu, Fred X. Han, Puyuan Liu, Jialin Zhang, Wei Lu, Shangling Jui:
AIO-P: Expanding Neural Performance Predictors Beyond Image Classification. CoRR abs/2211.17228 (2022) - 2021
- [j21]Keith G. Mills, Mohammad Salameh, Di Niu, Fred X. Han, Seyed Saeed Changiz Rezaei, Hengshuai Yao, Wei Lu, Shuo Lian, Shangling Jui:
Exploring Neural Architecture Search Space via Deep Deterministic Sampling. IEEE Access 9: 110962-110974 (2021) - [j20]Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo:
QBSUM: A large-scale query-based document summarization dataset from real-world applications. Comput. Speech Lang. 66: 101166 (2021) - [j19]Matthew Pietrosanu, Jueyu Gao, Linglong Kong, Bei Jiang, Di Niu:
Advanced algorithms for penalized quantile and composite quantile regression. Comput. Stat. 36(1): 333-346 (2021) - [j18]Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang:
Similarity Embedding Networks for Robust Human Activity Recognition. ACM Trans. Knowl. Discov. Data 15(6): 98:1-98:17 (2021) - [c59]Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang:
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. ACL/IJCNLP (Findings) 2021: 1383-1392 - [c58]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CIKM 2021: 1284-1293 - [c57]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CIKM 2021: 4026-4035 - [c56]Kunxun Qi, Ruoxu Wang, Qikai Lu, Xuejiao Wang, Ning Jing, Di Niu, Haolan Chen:
Dual Learning for Query Generation and Query Selection in Query Feeds Recommendation. CIKM 2021: 4065-4074 - [c55]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. IJCAI 2021: 2227-2234 - [c54]Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang:
Meta-HAR: Federated Representation Learning for Human Activity Recognition. WWW 2021: 912-922 - [c53]Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang:
Verdi: Quality Estimation and Error Detection for Bilingual Corpora. WWW 2021: 3023-3031 - [i28]Seyed Saeed Changiz Rezaei, Fred X. Han, Di Niu, Mohammad Salameh, Keith G. Mills, Shuo Lian, Wei Lu, Shangling Jui:
Generative Adversarial Neural Architecture Search. CoRR abs/2105.09356 (2021) - [i27]Mingjun Zhao, Haijiang Wu, Di Niu, Zixuan Wang, Xiaoli Wang:
Verdi: Quality Estimation and Error Detection for Bilingual. CoRR abs/2105.14878 (2021) - [i26]Chenglin Li, Di Niu, Bei Jiang, Xiao Zuo, Jianming Yang:
Meta-HAR: Federated Representation Learning for Human Activity Recognition. CoRR abs/2106.00615 (2021) - [i25]Chenglin Li, Carrie Lu Tong, Di Niu, Bei Jiang, Xiao Zuo, Lei Cheng, Jian Xiong, Jianming Yang:
Similarity Embedding Networks for Robust Human Activity Recognition. CoRR abs/2106.15283 (2021) - [i24]Weidong Guo, Mingjun Zhao, Lusheng Zhang, Di Niu, Jinwen Luo, Zhenhua Liu, Zhenyang Li, Jianbo Tang:
LICHEE: Improving Language Model Pre-training with Multi-grained Tokenization. CoRR abs/2108.00801 (2021) - [i23]Keith G. Mills, Fred X. Han, Mohammad Salameh, Seyed Saeed Changiz Rezaei, Linglong Kong, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
L$^{2}$NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning. CoRR abs/2109.12425 (2021) - [i22]Keith G. Mills, Fred X. Han, Jialin Zhang, Seyed Saeed Changiz Rezaei, Fabian Chudak, Wei Lu, Shuo Lian, Shangling Jui, Di Niu:
Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search. CoRR abs/2109.12426 (2021) - [i21]Jiuding Yang, Weidong Guo, Bang Liu, Yakun Yu, Chaoyue Wang, Jinwen Luo, Linglong Kong, Di Niu, Zhen Wen:
TAG: Toward Accurate Social Media Content Tagging with a Concept Graph. CoRR abs/2110.06892 (2021) - [i20]Chenglin Li, Mingjun Zhao, Huanming Zhang, Chenyun Yu, Lei Cheng, Guoqiang Shu, Beibei Kong, Di Niu:
RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation. CoRR abs/2111.10093 (2021) - 2020
- [j17]Bang Liu, Fred X. Han, Di Niu, Linglong Kong, Kunfeng Lai, Yu Xu:
Story Forest: Extracting Events and Telling Stories from Breaking News. ACM Trans. Knowl. Discov. Data 14(3): 31:1-31:28 (2020) - [j16]Hao Wang, Di Niu, Baochun Li:
Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. IEEE Trans. Parallel Distributed Syst. 31(6): 1372-1386 (2020) - [c52]Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang:
Reinforced Curriculum Learning on Pre-Trained Neural Machine Translation Models. AAAI 2020: 9652-9659 - [c51]Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li:
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. INFOCOM 2020: 1698-1707 - [c50]Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search for Keyword Spotting. INTERSPEECH 2020: 1982-1986 - [c49]Fred X. Han, Di Niu, Haolan Chen, Weidong Guo, Shengli Yan, Bowei Long:
Meta-Learning for Query Conceptualization at Web Scale. KDD 2020: 3064-3073 - [c48]Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu:
GIANT: Scalable Creation of a Web-scale Ontology. SIGMOD Conference 2020: 393-409 - [c47]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW 2020: 2032-2043 - [i19]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR abs/2002.00748 (2020) - [i18]Bang Liu, Weidong Guo, Di Niu, Jinwen Luo, Chaoyue Wang, Zhen Wen, Yu Xu:
GIANT: Scalable Creation of a Web-scale Ontology. CoRR abs/2004.02118 (2020) - [i17]Mingjun Zhao, Haijiang Wu, Di Niu, Xiaoli Wang:
Reinforced Curriculum Learning on Pre-trained Neural Machine Translation Models. CoRR abs/2004.05757 (2020) - [i16]Tong Mo, Yakun Yu, Mohammad Salameh, Di Niu, Shangling Jui:
Neural Architecture Search For Keyword Spotting. CoRR abs/2009.00165 (2020) - [i15]Mingjun Zhao, Shengli Yan, Bang Liu, Xinwang Zhong, Qian Hao, Haolan Chen, Di Niu, Bowei Long, Weidong Guo:
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications. CoRR abs/2010.14108 (2020)
2010 – 2019
- 2019
- [j15]Chenglin Li, Keith G. Mills, Di Niu, Rui Zhu, Hongwen Zhang, Husam Kinawi:
Android Malware Detection Based on Factorization Machine. IEEE Access 7: 184008-184019 (2019) - [j14]Wenxin Li, Di Niu, Yinan Liu, Shuhao Liu, Baochun Li:
Wide-Area Spark Streaming: Automated Routing and Batch Sizing. IEEE Trans. Parallel Distributed Syst. 30(6): 1434-1448 (2019) - [c46]Hao Huang, Qian Yan, Ting Gan, Di Niu, Wei Lu, Yunjun Gao:
Learning Diffusions without Timestamps. AAAI 2019: 582-589 - [c45]Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu:
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) 2019: 6284-6294 - [c44]Hao Wang, Di Niu, Baochun Li:
Distributed Machine Learning with a Serverless Architecture. INFOCOM 2019: 1288-1296 - [c43]Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu:
A Deep Generative Approach to Search Extrapolation and Recommendation. KDD 2019: 1771-1779 - [c42]Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu:
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. KDD 2019: 1831-1841 - [c41]Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou:
FDML: A Collaborative Machine Learning Framework for Distributed Features. KDD 2019: 2232-2240 - [c40]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by LearningWhat not to Generate. WWW 2019: 1106-1118 - [c39]Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu:
Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW 2019: 2792-2798 - [i14]Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu:
Learning to Generate Questions by Learning What not to Generate. CoRR abs/1902.10418 (2019) - [i13]Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu:
Multiresolution Graph Attention Networks for Relevance Matching. CoRR abs/1902.10580 (2019) - [i12]Bang Liu, Weidong Guo, Di Niu, Chaoyue Wang, Shunnan Xu, Jinghong Lin, Kunfeng Lai, Yu Xu:
A User-Centered Concept Mining System for Query and Document Understanding at Tencent. CoRR abs/1905.08487 (2019) - [i11]Yaochen Hu, Peng Liu, Linglong Kong, Di Niu:
Learning Privately over Distributed Features: An ADMM Sharing Approach. CoRR abs/1907.07735 (2019) - 2018
- [c38]Ting Zhang, Bang Liu, Di Niu, Kunfeng Lai, Yu Xu:
Multiresolution Graph Attention Networks for Relevance Matching. CIKM 2018: 933-942 - [c37]Yaochen Hu, Di Niu, Jianming Yang:
A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. CIKM 2018: 2047-2055 - [c36]Hao Wang, Di Niu, Baochun Li:
Dynamic and Decentralized Global Analytics via Machine Learning. SoCC 2018: 14-25 - [c35]