Influence-Aware Truth Discovery. - Hengtong Zhang; Qi Li 012; Fenglong Ma; Houping Xiao; Yaliang Li; Jing Gao 004; Lu Su 001 (CIKM, 2016)

Leveraging the Power of Informative Users for Local Event Detection. - Hengtong Zhang; Fenglong Ma; Yaliang Li; Chao Zhang 014; Tianqi Wang; Yaqing Wang 001; Jing Gao 004; Lu Su 001 (ASONAM, 2018)

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. - Hengtong Zhang; Yaliang Li; Fenglong Ma; Jing Gao 004; Lu Su 001 (KDD, 2018)

Data Poisoning Attack against Knowledge Graph Embedding. - Hengtong Zhang; Tianhang Zheng; Jing Gao 004; Chenglin Miao; Lu Su 001; Yaliang Li; Kui Ren 001 (IJCAI, 2019)

DTEC: Distance Transformation Based Early Time Series Classification. - Liuyi Yao; Yaliang Li; Yezheng Li; Hengtong Zhang; Mengdi Huai; Jing Gao 004; Aidong Zhang (SDM, 2019)

Towards Data Poisoning Attack against Knowledge Graph Embedding. - Hengtong Zhang; Tianhang Zheng; Jing Gao 004; Chenglin Miao; Lu Su 001; Yaliang Li; Kui Ren 001 (CoRR, 2019)

AutoRepair: an automatic repairing approach over multi-source data. - Chen Ye 003; Qi Li 012; Hengtong Zhang; Hongzhi Wang 001; Jing Gao 004; Jianzhong Li 001 (Knowl. Inf. Syst., 2019)

PatternFinder: Pattern discovery for truth discovery. - Chen Ye 003; Hongzhi Wang 001; Tingting Ma; Jing Gao 004; Hengtong Zhang; Jianzhong Li 001 (Knowl. Based Syst., 2019)

Practical Data Poisoning Attack against Next-Item Recommendation. - Hengtong Zhang; Yaliang Li; Bolin Ding; Jing Gao 004 (WWW, 2020)

Veracity and Vulnerabilities Analysis of Multi-Sourced Data. - Hengtong Zhang (2020)

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. - Hengtong Zhang; Tianhang Zheng; Yaliang Li; Jing Gao 004; Lu Su 001; Bo Li 126 (EMNLP (1), 2021)

Data Poisoning Attacks Against Outcome Interpretations of Predictive Models. - Hengtong Zhang; Jing Gao 004; Lu Su 001 (KDD, 2021)

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. - Hengtong Zhang; Changxin Tian; Yaliang Li; Lu Su 001; Nan Yang; Wayne Xin Zhao; Jing Gao 004 (KDD, 2021)

RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. - Xiaoxuan Hu; Hengtong Zhang; Wayne Xin Zhao; Yaliang Li; Jing Gao 004; Ji-Rong Wen (NLPCC (1), 2021)

Fair Classification Under Strict Unawareness. - Haoyu Wang 004; Hengtong Zhang; Yaqing Wang 001; Jing Gao 004 (SDM, 2021)

Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Yatao Bian; Hengtong Zhang; Jintang Li; Junchi Yu; Liang Chen 001; Chaochao Chen 001; Junzhou Huang (KDD, 2022)

A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection. - Bingzhe Wu; Jintang Li; Junchi Yu; Yatao Bian; Hengtong Zhang; Chaochao Chen 001; Chengbin Hou; Guoji Fu; Liang Chen 001; Tingyang Xu; Yu Rong 001; Xiaolin Zheng; et al. (CoRR, 2022)

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. - Lanqing Li; Liang Zeng 002; Ziqi Gao; Shen Yuan; Yatao Bian; Bingzhe Wu; Hengtong Zhang; Chan Lu; Yang Yu 010; Wei Liu 005; Hongteng Xu; Jia Li 009; et al. (CoRR, 2022)

MDM: Molecular Diffusion Model for 3D Molecule Generation. - Lei Huang; Hengtong Zhang; Tingyang Xu; Ka-Chun Wong (AAAI, 2023)

Geometric Graph Learning for Protein Mutation Effect Prediction. - Kangfei Zhao; Yu Rong 001; Biaobin Jiang; Jianheng Tang; Hengtong Zhang; Jeffrey Xu Yu; Peilin Zhao (CIKM, 2023)

Towards Controllable Diffusion Models via Reward-Guided Exploration. - Hengtong Zhang; Tingyang Xu (CoRR, 2023)

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. - Hengtong Zhang; Yaliang Li; Bolin Ding; Jing Gao 004 (IEEE Trans. Knowl. Data Eng., 2023)

Towards Poisoning Fair Representations. - Tianci Liu 003; Haoyu Wang 004; Feijie Wu; Hengtong Zhang; Pan Li 005; Lu Su 001; Jing Gao 004 (ICLR, 2024)