Daizong Ding - RankMe

22 papers A* 13A 3Journal 4Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents. EMNLP (Findings) Pengzhou Cheng, Haowen Hu, Zheng Wu, Zongru Wu, Tianjie Ju, Daizong Ding, Zhuosheng Zhang, Gongshen Liu
2024	A*	`conf`	CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. CVPR Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Zhaoxiang Wang, Min Yang
2024	—	`conf`	Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. ESORICS (1) Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang
2024	A*	`conf`	Uplift Modeling for Target User Attacks on Recommender Systems. WWW Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
2024	J	`jnl`	Uplift Modeling for Target User Attacks on Recommender Systems. CoRR Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua
2023	A*	`conf`	Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. WWW Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang
2023	A*	`conf`	Black-Box Adversarial Attack on Time Series Classification. AAAI Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang
2023	A*	`conf`	CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. CVPR Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang
2023	J	`jnl`	Enhancing Time Series Predictors With Generalized Extreme Value Loss. IEEE Trans. Knowl. Data Eng. Mi Zhang, Daizong Ding, Xudong Pan, Min Yang
2023	A*	`conf`	MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. WWW Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng
2022	J	`jnl`	A Geometrical Perspective on Image Style Transfer With Adversarial Learning. IEEE Trans. Pattern Anal. Mach. Intell. Xudong Pan, Mi Zhang, Daizong Ding, Min Yang
2022	A*	`conf`	Towards Backdoor Attack on Deep Learning based Time Series Classification. ICDE Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang
2021	A	`conf`	A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He
2021	A	`conf`	Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang
2020	A*	`conf`	Enhancing State-of-the-art Classifiers with API Semantics to Detect Evolved Android Malware. CCS Xiaohan Zhang, Yuan Zhang, Ming Zhong, Daizong Ding, Yinzhi Cao, Yukun Zhang, Mi Zhang, Min Yang
2020	A*	`conf`	Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. AAAI Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2020	A*	`conf`	Modeling Personalized Out-of-Town Distances in Location Recommendation. ICDM Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2019	A*	`conf`	Modeling Extreme Events in Time Series Prediction. KDD Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2018	A*	`conf`	Geographical Feature Extraction for Entities in Location-based Social Networks. WWW Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu
2018	A*	`conf`	Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. ICML Xudong Pan, Mi Zhang, Daizong Ding
2018	J	`jnl`	Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. CoRR Xudong Pan, Mi Zhang, Daizong Ding
2017	A	`conf`	BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. CIKM Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, Zhi-Hua Zhou