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2020 – today
- 2025
[j10]Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian:
Invariant representation learning via decoupling style and spurious features. Mach. Learn. 114(1): 37 (2025)- 2024
- [j9]Chenwang Wu
, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j8]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j7]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [c13]Kaiyu Jin, Chenwang Wu, Defu Lian:
Out-of-Distribution Generalization via Style and Spuriousness Eliminating. ICME 2024: 1-6 - [c12]Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen:
Learning from Highly Sparse Spatio-temporal Data. NeurIPS 2024 - [i12]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i11]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - 2023
- [j6]Chuanbo Qin, Bin Zheng, Wanying Li, Hongbo Chen, Junying Zeng, Chenwang Wu, Shufen Liang, Jun Luo, Shuquan Zhou, Lin Xiao:
MAD-Net: Multi-attention dense network for functional bone marrow segmentation. Comput. Biol. Medicine 154: 106428 (2023) - [j5]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j4]Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen:
Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12310-12322 (2023) - [j3]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing recommender system via cooperative training. World Wide Web (WWW) 26(6): 3915-3943 (2023) - [c11]Chaoqun Su, Chenwang Wu, Defu Lian:
GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI 2023: 2218-2225 - [c10]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c9]Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen:
Membership Inference Attacks Against Sequential Recommender Systems. WWW 2023: 1208-1219 - [i10]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - [i9]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i8]Yichang Xu, Chenwang Wu, Defu Lian:
Toward Robust Recommendation via Real-time Vicinal Defense. CoRR abs/2309.17278 (2023) - [i7]Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen:
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR abs/2312.10943 (2023) - [i6]Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen:
Model Stealing Attack against Recommender System. CoRR abs/2312.11571 (2023) - 2022
- [j2]Wenjian Luo, Chenwang Wu, Li Ni, Nan Zhou, Zhenya Zhang:
Detecting adversarial examples by positive and negative representations. Appl. Soft Comput. 117: 108383 (2022) - [c8]Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen:
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS 2022 - [c7]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) 2022: 251-268 - [c6]Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. WISE 2022: 564-578 - [i5]Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i4]Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR abs/2210.13762 (2022) - [i3]Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou:
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR abs/2211.00641 (2022) - [i2]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR abs/2211.08068 (2022) - 2021
- [c5]Chenwang Wu, Wenjian Luo, Nan Zhou, Peilan Xu, Tao Zhu:
Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples. CEC 2021: 1792-1799 - [c4]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c3]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) 2021: 251-278 - [c2]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - 2020
- [j1]Hao Jiang, Wenjian Luo, Binyao Duan, Chenwang Wu:
Enhancing the privacy of negative surveys using negative combined categories. Appl. Soft Comput. 96: 106578 (2020)
2010 – 2019
- 2019
- [i1]Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni:
Random Directional Attack for Fooling Deep Neural Networks. CoRR abs/1908.02658 (2019) - 2018
- [c1]Yu Chen, Youshen Xia, Chenwang Wu:
A Crop-Based Multi-Branch Network for Matching Cost Computation. CISP-BMEI 2018: 1-9
Coauthor Index
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