BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. - Daizong Ding; Mi Zhang 001; Shao-Yuan Li; Jie Tang 001; Xiaotie Chen; Zhi-Hua Zhou (CIKM, 2017)

Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. - Xudong Pan; Mi Zhang 001; Daizong Ding (ICML, 2018)

Geographical Feature Extraction for Entities in Location-based Social Networks. - Daizong Ding; Mi Zhang 001; Xudong Pan; Duocai Wu; Pearl Pu (WWW, 2018)

Modeling Extreme Events in Time Series Prediction. - Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Xiangnan He 001 (KDD, 2019)

Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. - Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Xiangnan He 001 (AAAI, 2020)

Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. - Xiaohan Zhang 001; Yuan Zhang 009; Ming Zhong 011; Daizong Ding; Yinzhi Cao; Yukun Zhang; Mi Zhang 001; Min Yang 002 (CCS, 2020)

Modeling Personalized Out-of-Town Distances in Location Recommendation. - Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Xiangnan He 001 (ICDM, 2020)

A Deep Learning Framework for Self-evolving Hierarchical Community Detection. - Daizong Ding; Mi Zhang 001; Hanrui Wang 002; Xudong Pan; Min Yang 002; Xiangnan He 001 (CIKM, 2021)

Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. - Xiaoyu You; Mi Zhang 001; Daizong Ding; Fuli Feng; Yuanmin Huang 001 (CIKM, 2021)

Towards Backdoor Attack on Deep Learning based Time Series Classification. - Daizong Ding; Mi Zhang 001; Yuanmin Huang 001; Xudong Pan; Fuli Feng; Erling Jiang; Min Yang 002 (ICDE, 2022)

A Geometrical Perspective on Image Style Transfer With Adversarial Learning. - Xudong Pan; Mi Zhang 001; Daizong Ding; Min Yang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Black-Box Adversarial Attack on Time Series Classification. - Daizong Ding; Mi Zhang 001; Fuli Feng; Yuanmin Huang 001; Erling Jiang; Min Yang 002 (AAAI, 2023)

CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. - Daizong Ding; Erling Jiang; Yuanmin Huang 001; Mi Zhang 001; Wenxuan Li; Min Yang 002 (CVPR, 2023)

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. - Xiaoyu You; Chi Li; Daizong Ding; Mi Zhang 001; Fuli Feng; Xudong Pan; Min Yang 002 (WWW, 2023)

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. - Xiaoyu You; Beina Sheng; Daizong Ding; Mi Zhang 001; Xudong Pan; Min Yang 002; Fuli Feng (WWW, 2023)

Enhancing Time Series Predictors With Generalized Extreme Value Loss. - Mi Zhang 001; Daizong Ding; Xudong Pan; Min Yang 002 (IEEE Trans. Knowl. Data Eng., 2023)

CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. - Yuanmin Huang 001; Mi Zhang 001; Daizong Ding; Erling Jiang; Zhaoxiang Wang; Min Yang 002 (CVPR, 2024)

Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. - Yuanmin Huang 001; Mi Zhang 001; Daizong Ding; Erling Jiang; Qifan Xiao; Xiaoyu You; Yuan Tian; Min Yang 002 (ESORICS (1), 2024)

Uplift Modeling for Target User Attacks on Recommender Systems. - Wenjie Wang 007; Changsheng Wang; Fuli Feng; Wentao Shi 002; Daizong Ding; Tat-Seng Chua (WWW, 2024)