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- affiliation: Arizona State University
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2020 – today
- 2022
[j69]Ziye Zhu
, Hanghang Tong, Yu Wang, Yun Li:
Enhancing bug localization with bug report decomposition and code hierarchical network. Knowl. Based Syst. 248: 108741 (2022)- [j68]Yang Shi, Yuyin Liu, Hanghang Tong, Jingrui He, Gang Yan, Nan Cao:
Visual Analytics of Anomalous User Behaviors: A Survey. IEEE Trans. Big Data 8(2): 377-396 (2022) - [j67]Chen Lin, Dugang Liu, Hanghang Tong, Yanghua Xiao:
Spiral of Silence and Its Application in Recommender Systems. IEEE Trans. Knowl. Data Eng. 34(6): 2934-2947 (2022) - [j66]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j65]Tiankai Xie, Yuxin Ma, Jian Kang, Hanghang Tong, Ross Maciejewski:
FairRankVis: A Visual Analytics Framework for Exploring Algorithmic Fairness in Graph Mining Models. IEEE Trans. Vis. Comput. Graph. 28(1): 368-377 (2022) - [c194]Yaojing Wang, Yuan Yao, Feng Xu, Yada Zhu, Hanghang Tong:
Structure Meets Sequences: Predicting Network of Co-evolving Sequences. WSDM 2022: 1090-1098 - [c193]Zhe Xu, Boxin Du, Hanghang Tong:
Graph Sanitation with Application to Node Classification. WWW 2022: 1136-1147 - [c192]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. WWW 2022: 1203-1213 - [c191]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. WWW 2022: 1214-1225 - [c190]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. WWW 2022: 1362-1371 - [i53]Shengyu Feng, Baoyu Jing, Yada Zhu, Hanghang Tong:
Adversarial Graph Contrastive Learning with Information Regularization. CoRR abs/2202.06491 (2022) - [i52]Kaize Ding, Zhe Xu, Hanghang Tong, Huan Liu:
Data Augmentation for Deep Graph Learning: A Survey. CoRR abs/2202.08235 (2022) - [i51]Shuo Yu, Jiaying Liu, Feng Xia, Haoran Wei, Hanghang Tong:
How to optimize an academic team when the outlier member is leaving? CoRR abs/2202.11608 (2022) - [i50]Jian Kang, Yan Zhu, Yinglong Xia, Jiebo Luo, Hanghang Tong:
RawlsGCN: Towards Rawlsian Difference Principle on Graph Convolutional Network. CoRR abs/2202.13547 (2022) - [i49]Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He:
DISCO: Comprehensive and Explainable Disinformation Detection. CoRR abs/2203.04928 (2022) - [i48]Senrong Xu, Yuan Yao, Liangyue Li, Wei Yang, Feng Xu, Hanghang Tong:
Detecting Topology Attacks against Graph Neural Networks. CoRR abs/2204.10072 (2022) - [i47]Beidi Zhao, Boxin Du, Zhe Xu, Liangyue Li, Hanghang Tong:
Learning Optimal Propagation for Graph Neural Networks. CoRR abs/2205.02998 (2022) - [i46]He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei:
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR abs/2205.07424 (2022) - [i45]Zhenning Zhang, Boxin Du, Hanghang Tong:
SUGER: A Subgraph-based Graph Convolutional Network Method for Bundle Recommendation. CoRR abs/2205.11231 (2022) - [i44]Wenhao Ding, Qing He, Hanghang Tong, Ping Wang:
PINO-MBD: Physics-informed Neural Operator for Solving Coupled ODEs in Multi-body Dynamics. CoRR abs/2205.12262 (2022) - [i43]Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong:
COIN: Co-Cluster Infomax for Bipartite Graphs. CoRR abs/2206.00006 (2022) - [i42]Haoran Li, Yang Weng, Hanghang Tong:
CoNSoLe: Convex Neural Symbolic Learning. CoRR abs/2206.00257 (2022) - [i41]Hongwei Wang, Zixuan Zhang, Sha Li, Jiawei Han, Yizhou Sun, Hanghang Tong, Joseph P. Olive, Heng Ji:
Schema-Guided Event Graph Completion. CoRR abs/2206.02921 (2022) - [i40]Boxin Du, Changhe Yuan, Fei Wang, Hanghang Tong:
Geometric Matrix Completion via Sylvester Multi-Graph Neural Network. CoRR abs/2206.09477 (2022) - 2021
- [j64]Ziye Zhu, Yun Li, Yu Wang, Yaojing Wang, Hanghang Tong:
A deep multimodal model for bug localization. Data Min. Knowl. Discov. 35(4): 1369-1392 (2021) - [j63]Shuo Yu, Jiaying Liu, Haoran Wei, Feng Xia, Hanghang Tong:
How to Optimize an Academic Team When the Outlier Member is Leaving? IEEE Intell. Syst. 36(3): 23-30 (2021) - [j62]Chen Chen, Yinglong Xia, Hui Zang, Jundong Li, Huan Liu, Hanghang Tong:
Incremental one-class collaborative filtering with co-evolving side networks. Knowl. Inf. Syst. 63(1): 105-124 (2021) - [j61]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Nonbacktracking Eigenvalues under Node Removal: X-Centrality and Targeted Immunization. SIAM J. Math. Data Sci. 3(2): 656-675 (2021) - [j60]Dawei Zhou, Si Zhang, Mehmet Yigit Yildirim, Scott Alcorn, Hanghang Tong, Hasan Davulcu, Jingrui He:
High-Order Structure Exploration on Massive Graphs: A Local Graph Clustering Perspective. ACM Trans. Knowl. Discov. Data 15(2): 18:1-18:26 (2021) - [j59]Wei Wang, Feng Xia, Jian Wu, Zhiguo Gong, Hanghang Tong, Brian D. Davison:
Scholar2vec: Vector Representation of Scholars for Lifetime Collaborator Prediction. ACM Trans. Knowl. Discov. Data 15(3): 40:1-40:19 (2021) - [j58]Chen Chen, Ruiyue Peng, Lei Ying, Hanghang Tong:
Fast Connectivity Minimization on Large-Scale Networks. ACM Trans. Knowl. Discov. Data 15(3): 53:1-53:25 (2021) - [j57]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-Advisee Relationship Mining. IEEE Trans. Knowl. Data Eng. 33(4): 1763-1777 (2021) - [j56]Meijia Wang, Jian Kang, Nan Cao, Yinglong Xia, Wei Fan, Hanghang Tong:
Graph Ranking Auditing: Problem Definition and Fast Solutions. IEEE Trans. Knowl. Data Eng. 33(10): 3366-3380 (2021) - [j55]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. IEEE Trans. Vis. Comput. Graph. 27(2): 1459-1469 (2021) - [c189]Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong:
Dynamic Knowledge Graph Alignment. AAAI 2021: 4564-4572 - [c188]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. IEEE BigData 2021: 350-358 - [c187]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Jiejun Xu, Hanghang Tong:
DESTINE: Dense Subgraph Detection on Multi-Layered Networks. CIKM 2021: 3558-3562 - [c186]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Evaluating Graph Vulnerability and Robustness using TIGER. CIKM 2021: 4495-4503 - [c185]Jian Kang, Hanghang Tong:
Fair Graph Mining. CIKM 2021: 4849-4852 - [c184]Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. EMNLP (1) 2021: 133-139 - [c183]Zixuan Zhang, Hongwei Wang, Han Zhao, Hanghang Tong, Heng Ji:
EventKE: Event-Enhanced Knowledge Graph Embedding. EMNLP (Findings) 2021: 1389-1400 - [c182]Zhizhi Yu, Di Jin, Ziyang Liu, Dongxiao He, Xiao Wang, Hanghang Tong, Jiawei Han:
AS-GCN: Adaptive Semantic Architecture of Graph Convolutional Networks for Text-Rich Networks. ICDM 2021: 837-846 - [c181]Yushun Dong, Jian Kang, Hanghang Tong, Jundong Li:
Individual Fairness for Graph Neural Networks: A Ranking based Approach. KDD 2021: 300-310 - [c180]Boxin Du, Lihui Liu, Hanghang Tong:
Sylvester Tensor Equation for Multi-Way Association. KDD 2021: 311-321 - [c179]Lihui Liu, Boxin Du, Heng Ji, ChengXiang Zhai, Hanghang Tong:
Neural-Answering Logical Queries on Knowledge Graphs. KDD 2021: 1087-1097 - [c178]Si Zhang, Hanghang Tong, Long Jin, Yinglong Xia, Yunsong Guo:
Balancing Consistency and Disparity in Network Alignment. KDD 2021: 2212-2222 - [c177]Lihui Liu, Boxin Du, Yi Ren Fung, Heng Ji, Jiejun Xu, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. KDD 2021: 3308-3318 - [c176]Boxin Du, Si Zhang, Yuchen Yan, Hanghang Tong:
New Frontiers of Multi-Network Mining: Recent Developments and Future Trend. KDD 2021: 4038-4039 - [c175]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [c174]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. SDM 2021: 181-189 - [c173]Guosheng Pan, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Unsupervised Attributed Network Embedding via Cross Fusion. WSDM 2021: 797-805 - [c172]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. WWW 2021: 2414-2424 - [c171]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. WWW 2021: 2425-2437 - [c170]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. WWW 2021: 2448-2456 - [c169]Qinghai Zhou, Liangyue Li, Xintao Wu, Nan Cao, Lei Ying, Hanghang Tong:
Attent: Active Attributed Network Alignment. WWW 2021: 3896-3906 - [c168]Yuchen Yan, Si Zhang, Hanghang Tong:
BRIGHT: A Bridging Algorithm for Network Alignment. WWW 2021: 3907-3917 - [e4]Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9 [contents] - [i39]Zhaoheng Li, Xinyu Pi, Mingyuan Wu, Hanghang Tong:
REFORM: Fast and Adaptive Solution for Subteam Replacement. CoRR abs/2101.11070 (2021) - [i38]Baoyu Jing, Hanghang Tong, Yada Zhu:
Network of Tensor Time Series. CoRR abs/2102.07736 (2021) - [i37]Baoyu Jing, Chanyoung Park, Hanghang Tong:
HDMI: High-order Deep Multiplex Infomax. CoRR abs/2102.07810 (2021) - [i36]Kaize Ding, Qinghai Zhou, Hanghang Tong, Huan Liu:
Few-shot Network Anomaly Detection via Cross-network Meta-learning. CoRR abs/2102.11165 (2021) - [i35]Scott Freitas, Diyi Yang, Srijan Kumar, Hanghang Tong, Duen Horng Chau:
Graph Vulnerability and Robustness: A Survey. CoRR abs/2105.00419 (2021) - [i34]Zhe Xu, Hanghang Tong:
Graph Sanitation with Application to Node Classification. CoRR abs/2105.09384 (2021) - [i33]Boxin Du, Changhe Yuan, Robert A. Barton, Tal Neiman, Hanghang Tong:
Hypergraph Pre-training with Graph Neural Networks. CoRR abs/2105.10862 (2021) - [i32]Jian Kang, Tiankai Xie, Xintao Wu, Ross Maciejewski, Hanghang Tong:
MultiFair: Multi-Group Fairness in Machine Learning. CoRR abs/2105.11069 (2021) - [i31]Baoyu Jing, Zeyu You, Tao Yang, Wei Fan, Hanghang Tong:
Multiplex Graph Neural Network for Extractive Text Summarization. CoRR abs/2108.12870 (2021) - [i30]Baoyu Jing, Yuejia Xiang, Xi Chen, Yu Chen, Hanghang Tong:
Graph-MVP: Multi-View Prototypical Contrastive Learning for Multiplex Graphs. CoRR abs/2109.03560 (2021) - [i29]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR abs/2110.00210 (2021) - [i28]Wei Du, Xintao Wu, Hanghang Tong:
Fair Regression under Sample Selection Bias. CoRR abs/2110.04372 (2021) - [i27]Haonan Wang, Wei Huang, Andrew Margenot, Hanghang Tong, Jingrui He:
Deep Active Learning by Leveraging Training Dynamics. CoRR abs/2110.08611 (2021) - [i26]Bolian Li, Baoyu Jing, Hanghang Tong:
Graph Communal Contrastive Learning. CoRR abs/2110.14863 (2021) - [i25]Tong Wang, Yuan Yao, Feng Xu, Shengwei An, Hanghang Tong, Ting Wang:
Backdoor Attack through Frequency Domain. CoRR abs/2111.10991 (2021) - 2020
- [j54]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-Driven Computational Social Science: A Survey. Big Data Res. 21: 100145 (2020) - [j53]Yaojing Wang, Yuan Yao, Hanghang Tong, Xuan Huo, Ming Li, Feng Xu, Jian Lu:
Enhancing supervised bug localization with metadata and stack-trace. Knowl. Inf. Syst. 62(6): 2461-2484 (2020) - [j52]Yu Wang, Yun Li, Ziye Zhu, Hanghang Tong, Yue Huang:
Adversarial Learning for Multi-Task Sequence Labeling With Attention Mechanism. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2476-2488 (2020) - [j51]Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, Wei Fan:
Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Trans. Knowl. Discov. Data 14(4): 38:1-38:26 (2020) - [j50]Zhen Chen, Hanghang Tong, Lei Ying:
Inferring Full Diffusion History from Partial Timestamps. IEEE Trans. Knowl. Data Eng. 32(7): 1378-1392 (2020) - [j49]Yucheng Huang, Lei Shi, Yue Su, Yifan Hu, Hanghang Tong, Chaoli Wang, Tong Yang, Deyun Wang, Shuo Liang:
Eiffel: Evolutionary Flow Map for Influence Graph Visualization. IEEE Trans. Vis. Comput. Graph. 26(10): 2944-2960 (2020) - [j48]Lei Shi, Qi Liao, Hanghang Tong, Yifan Hu, Chaoli Wang, Chuang Lin, Weihong Qian:
OnionGraph: Hierarchical topology+attribute multivariate network visualization. Vis. Informatics 4(1): 43-57 (2020) - [c167]Zhe Xu, Si Zhang, Yinglong Xia, Liang Xiong, Hanghang Tong:
Ranking on Network of Heterogeneous Information Networks. IEEE BigData 2020: 848-857 - [c166]Shane Roach, Connie Ni, Alexei Kopylov, Tsai-Ching Lu, Jiejun Xu, Si Zhang, Boxin Du, Dawei Zhou, Jun Wu, Lihui Liu, Yuchen Yan, Jingrui He, Hanghang Tong:
CANON: Complex Analytics of Network of Networks for Modeling Adversarial Activities. IEEE BigData 2020: 1634-1643 - [c165]Yaojing Wang, Guosheng Pan, Yuan Yao, Hanghang Tong, Hongxia Yang, Feng Xu, Jian Lu:
Bringing Order to Network Embedding: A Relative Ranking based Approach. CIKM 2020: 1585-1594 - [c164]Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He:
A View-Adversarial Framework for Multi-View Network Embedding. CIKM 2020: 2025-2028 - [c163]Shuhan Yuan, Panpan Zheng, Xintao Wu, Hanghang Tong:
Few-shot Insider Threat Detection. CIKM 2020: 2289-2292 - [c162]Si Zhang, Hanghang Tong:
Network Alignment: Recent Advances and Future Directions. CIKM 2020: 3521-3522 - [c161]Yu Wang, Yun Li, Hanghang Tong, Ziye Zhu:
HIT: Nested Named Entity Recognition via Head-Tail Pair and Token Interaction. EMNLP (1) 2020: 6027-6036 - [c160]Haoran Li, Yang Weng, Hanghang Tong:
Heterogeneous Transfer Learning on Power Systems: A Merged Multi-Modal Gaussian Graphical Model. ICDM 2020: 1088-1093 - [c159]Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang:
CooBa: Cross-project Bug Localization via Adversarial Transfer Learning. IJCAI 2020: 3565-3571 - [c158]Jian Kang, Jingrui He, Ross Maciejewski, Hanghang Tong:
InFoRM: Individual Fairness on Graph Mining. KDD 2020: 379-389 - [c157]Si Zhang, Hanghang Tong, Yinglong Xia, Liang Xiong, Jiejun Xu:
NetTrans: Neural Cross-Network Transformation. KDD 2020: 986-996 - [c156]Long Chen, Yuan Yao, Feng Xu, Miao Xu, Hanghang Tong:
Trading Personalization for Accuracy: Data Debugging in Collaborative Filtering. NeurIPS 2020 - [i24]Leo Torres, Kevin S. Chan, Hanghang Tong, Tina Eliassi-Rad:
Node Immunization with Non-backtracking Eigenvalues. CoRR abs/2002.12309 (2020) - [i23]Jiaying Liu, Feng Xia, Lei Wang, Bo Xu, Xiangjie Kong, Hanghang Tong, Irwin King:
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining. CoRR abs/2008.07097 (2020) - [i22]Jun Zhang, Wei Wang, Feng Xia, Yu-Ru Lin, Hanghang Tong:
Data-driven Computational Social Science: A Survey. CoRR abs/2008.12372 (2020) - [i21]Tiankai Xie, Yuxin Ma, Hanghang Tong, My T. Thai, Ross Maciejewski:
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics. CoRR abs/2009.07227 (2020) - [i20]Wei Du, Depeng Xu, Xintao Wu, Hanghang Tong:
Fairness-aware Agnostic Federated Learning. CoRR abs/2010.05057 (2020) - [i19]Lihui Liu, Boxin Du, Heng Ji, Hanghang Tong:
KompaRe: A Knowledge Graph Comparative Reasoning System. CoRR abs/2011.03189 (2020)
2010 – 2019
- 2019
- [j47]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
A Brief Review of Network Embedding. Big Data Min. Anal. 2(1): 35-47 (2019) - [j46]Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski:
Location Prediction for Tweets. Frontiers Big Data 2: 5 (2019) - [j45]Si Zhang, Hanghang Tong:
Attributed Network Alignment: Problem Definitions and Fast Solutions. IEEE Trans. Knowl. Data Eng. 31(9): 1680-1692 (2019) - [j44]Yuan Yao, Hanghang Tong, Guo Yan, Feng Xu, Xiang Zhang, Boleslaw K. Szymanski, Jian Lu:
Dual-regularized one-class collaborative filtering with implicit feedback. World Wide Web 22(3): 1099-1129 (2019) - [c155]Shijie Tang, Yuan Yao, Suwei Zhang, Feng Xu, Tianxiao Gu, Hanghang Tong, Xiaohui Yan, Jian Lu:
An Integral Tag Recommendation Model for Textual Content. AAAI 2019: 5109-5116 - [c154]Suwei Zhang, Yuan Yao, Feng Xu, Hanghang Tong, Xiaohui Yan, Jian Lu:
Hashtag Recommendation for Photo Sharing Services. AAAI 2019: 5805-5812 - [c153]Hairi, Hanghang Tong, Lei Ying:
NetDyna: Mining Networked Coevolving Time Series with Missing Values. IEEE BigData 2019: 503-512 - [c152]Lihui Liu, Boxin Du, Jiejun Xu, Hanghang Tong:
G-Finder: Approximate Attributed Subgraph Matching. IEEE BigData 2019: 513-522 - [c151]Si Zhang, Hanghang Tong, Jiejun Xu, Yifan Hu, Ross Maciejewski:
ORIGIN: Non-Rigid Network Alignment. IEEE BigData 2019: 998-1007 - [c150]Qinghai Zhou, Liangyue Li, Hanghang Tong:
Towards Real Time Team Optimization. IEEE BigData 2019: 1008-1017 - [c149]Yaojing Wang, Yuan Yao, Hanghang Tong, Feng Xu, Jian Lu:
Discerning Edge Influence for Network Embedding. CIKM 2019: 429-438 - [c148]Boxin Du, Hanghang Tong:
MrMine: Multi-resolution Multi-network Embedding. CIKM 2019: 479-488 - [c147]Jian Kang, Hanghang Tong:
N2N: Network Derivative Mining. CIKM 2019: 861-870 - [c146]Rui Zhang, Hanghang Tong, Yinglong Xia, Yada Zhu:
Robust Embedded Deep K-means Clustering. CIKM 2019: 1181-1190 - [c145]Rui Zhang, Hanghang Tong, Yifan Hu:
Adaptive Feature Redundancy Minimization. CIKM 2019: 2417-2420 - [c144]Qinghai Zhou, Liangyue Li, Nan Cao, Lei Ying, Hanghang Tong:
ADMIRING: Adversarial Multi-network Mining. ICDM 2019: 1522-1527 - [c143]Shengbin Xu, Yuan Yao, Feng Xu, Tianxiao Gu, Hanghang Tong, Jian Lu:
Commit Message Generation for Source Code Changes. IJCAI 2019: 3975-3981 - [c142]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c141]Pei Yang, Qi Tan, Hanghang Tong, Jingrui He:
Task-Adversarial Co-Generative Nets. KDD 2019: 1596-1604 - [c140]Yongkai Wu, Lu Zhang, Xintao Wu, Hanghang Tong:
PC-Fairness: A Unified Framework for Measuring Causality-based Fairness. NeurIPS 2019: 3399-3409 - [c139]Rui Zhang, Hanghang Tong:
Robust Principal Component Analysis with Adaptive Neighbors. NeurIPS 2019: 6959-6967 - [c138]Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong:
Spiral of Silence in Recommender Systems. WSDM 2019: 222-230 - [c137]