Daizong Ding

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Recommender Systems

Personal Preferences

Top Venues

Publications

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR (2024)
Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
Uplift Modeling for Target User Attacks on Recommender Systems. WWW (2024)
Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. CVPR (2023)
Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang
Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. WWW (2023)
Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng
MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. WWW (2023)
Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang
Black-Box Adversarial Attack on Time Series Classification. AAAI (2023)
Mi Zhang, Daizong Ding, Xudong Pan, Min Yang
Enhancing Time Series Predictors With Generalized Extreme Value Loss. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Xudong Pan, Mi Zhang, Daizong Ding, Min Yang
A Geometrical Perspective on Image Style Transfer With Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang
Towards Backdoor Attack on Deep Learning based Time Series Classification. ICDE (2022)
Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He
A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM (2021)
Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM (2021)
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. AAAI (2020)
Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang
Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. CCS (2020)
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
Modeling Personalized Out-of-Town Distances in Location Recommendation. ICDM (2020)
Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
Modeling Extreme Events in Time Series Prediction. KDD (2019)
Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu
Geographical Feature Extraction for Entities in Location-based Social Networks. WWW (2018)
Xudong Pan, Mi Zhang, Daizong Ding
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. ICML (2018)
Xudong Pan, Mi Zhang, Daizong Ding
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. CoRR (2018)
Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM (2017)