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2020 – today
- 2024
[c17]Yuanmin Huang, Mi Zhang, Daizong Ding, Erling Jiang, Zhaoxiang Wang, Min Yang:
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification. CVPR 2024: 19779-19789- [c16]Yuanmin Huang
, Mi Zhang, Daizong Ding, Erling Jiang, Qifan Xiao, Xiaoyu You, Yuan Tian, Min Yang:
Towards Detection-Recovery Strategy for Robust Decentralized Matrix Factorization. ESORICS (1) 2024: 24-44 - [c15]Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. WWW 2024: 3343-3354 - [i2]Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR abs/2403.02692 (2024) - 2023
- [j2]Mi Zhang, Daizong Ding, Xudong Pan, Min Yang:
Enhancing Time Series Predictors With Generalized Extreme Value Loss. IEEE Trans. Knowl. Data Eng. 35(2): 1473-1487 (2023) - [c14]Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang:
Black-Box Adversarial Attack on Time Series Classification. AAAI 2023: 7358-7368 - [c13]Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang:
CAP: Robust Point Cloud Classification via Semantic and Structural Modeling. CVPR 2023: 12260-12270 - [c12]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: 938-948 - [c11]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: 2000-2010 - 2022
- [j1]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): 63-75 (2022) - [c10]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: 1274-1287 - 2021
- [c9]Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He:
A Deep Learning Framework for Self-evolving Hierarchical Community Detection. CIKM 2021: 372-381 - [c8]Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang:
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM 2021: 2434-2443 - 2020
- [c7]Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He:
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning. AAAI 2020: 3791-3800 - [c6]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: 757-770 - [c5]Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He:
Modeling Personalized Out-of-Town Distances in Location Recommendation. ICDM 2020: 112-121
2010 – 2019
- 2019
- [c4]Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He:
Modeling Extreme Events in Time Series Prediction. KDD 2019: 1114-1122 - 2018
- [c3]Xudong Pan, Mi Zhang, Daizong Ding:
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. ICML 2018: 4003-4012 - [c2]Daizong Ding, Mi Zhang, Xudong Pan, Duocai Wu, Pearl Pu:
Geographical Feature Extraction for Entities in Location-based Social Networks. WWW 2018: 833-842 - [i1]Xudong Pan, Mi Zhang, Daizong Ding:
Theoretical Analysis of Image-to-Image Translation with Adversarial Learning. CoRR abs/1806.07001 (2018) - 2017
- [c1]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: 1479-1488
Coauthor Index
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