Hengtong Zhang

According to our database, Hengtong Zhang authored at least 22 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations.

Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

IEEE Trans. Knowl. Data Eng., May, 2023

Towards Poisoning Fair Representations.

Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao

CoRR, 2023

Towards Controllable Diffusion Models via Reward-Guided Exploration.

Hengtong Zhang, Tingyang Xu

CoRR, 2023

Geometric Graph Learning for Protein Mutation Effect Prediction.

Kangfei Zhao, Yu Rong, Biaobin Jiang, Jianheng Tang, Hengtong Zhang, Jeffrey Xu Yu, Peilin Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MDM: Molecular Diffusion Model for 3D Molecule Generation.

Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.

Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng

CoRR, 2022

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Jintang Li, Junchi Yu, Yatao Bian, Hengtong Zhang, Chaochao Chen, Chengbin Hou, Guoji Fu, Liang Chen, Tingyang Xu, Yu Rong, Xiaolin Zheng, Junzhou Huang, Ran He, Baoyuan Wu, Guangyu Sun, Peng Cui, Zibin Zheng, Zhe Liu, Peilin Zhao

CoRR, 2022

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection.

Bingzhe Wu, Yatao Bian, Hengtong Zhang, Jintang Li, Junchi Yu, Liang Chen, Chaochao Chen, Junzhou Huang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Fair Classification Under Strict Unawareness.

Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.

Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data.

Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Data Poisoning Attacks Against Outcome Interpretations of Predictive Models.

Hengtong Zhang, Jing Gao, Lu Su

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness.

Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Practical Data Poisoning Attack against Next-Item Recommendation.

Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

PatternFinder: Pattern discovery for truth discovery.

Chen Ye, Hongzhi Wang, Tingting Ma, Jing Gao, Hengtong Zhang, Jianzhong Li

Knowl. Based Syst., 2019

AutoRepair: an automatic repairing approach over multi-source data.

Chen Ye, Qi Li, Hengtong Zhang, Hongzhi Wang, Jing Gao, Jianzhong Li

Knowl. Inf. Syst., 2019

Towards Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

CoRR, 2019

DTEC: Distance Transformation Based Early Time Series Classification.

Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.

Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Leveraging the Power of Informative Users for Local Event Detection.

Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2016

Influence-Aware Truth Discovery.

Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016