Chenwang Wu - RankMe

39 papers A* 6A 2B 2Journal 26Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection. CoRR Chenwang Wu, Yiu-ming Cheung, Shuhai Zhang, Bo Han, Defu Lian
2025	J	`jnl`	Advancing Machine-Generated Text Detection from an Easy to Hard Supervision Perspective. CoRR Chenwang Wu, Yiu-ming Cheung, Bo Han, Defu Lian
2025	J	`jnl`	Efficient Machine Unlearning via Influence Approximation. CoRR Jiawei Liu, Chenwang Wu, Defu Lian, Enhong Chen
2025	J	`jnl`	Invariant representation learning via decoupling style and spurious features. Mach. Learn. Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Chenwang Wu, Hong Xie, Defu Lian
2025	J	`jnl`	Learning to Substitute Components for Compositional Generalization. CoRR Zhaoyi Li, Gangwei Jiang, Chenwang Wu, Ying Wei, Defu Lian, Enhong Chen
2024	J	`jnl`	Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen
2024	J	`jnl`	Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2024	A*	`conf`	Learning from Highly Sparse Spatio-temporal Data. NeurIPS Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen
2024	A	`conf`	Out-of-Distribution Generalization via Style and Spuriousness Eliminating. ICME Kaiyu Jin, Chenwang Wu, Defu Lian
2024	J	`jnl`	Securing Recommender System via Cooperative Training. CoRR Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen
2024	J	`jnl`	Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen
2024	J	`jnl`	When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 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
2023	A*	`conf`	A Causality Inspired Framework for Model Interpretation. KDD Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
2023	A	`conf`	GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI Chaoqun Su, Chenwang Wu, Defu Lian
2023	J	`jnl`	Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2023	J	`jnl`	MAD-Net: Multi-attention dense network for functional bone marrow segmentation. Comput. Biol. Medicine Chuanbo Qin, Bin Zheng, Wanying Li, Hongbo Chen, Junying Zeng, Chenwang Wu, Shufen Liang, Jun Luo, Shuquan Zhou, Lin Xiao
2023	J	`jnl`	Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen
2023	A*	`conf`	Membership Inference Attacks Against Sequential Recommender Systems. WWW Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen
2023	J	`jnl`	Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen
2023	J	`jnl`	Model Stealing Attack against Recommender System. CoRR Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen
2023	J	`jnl`	Securing recommender system via cooperative training. World Wide Web (WWW) Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen
2023	J	`jnl`	Toward Robust Recommendation via Real-time Vicinal Defense. CoRR Yichang Xu, Chenwang Wu, Defu Lian
2023	J	`jnl`	Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR 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
2023	J	`jnl`	When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
2022	J	`jnl`	Boosting Factorization Machines via Saliency-Guided Mixup. CoRR Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao
2022	J	`jnl`	Detecting adversarial examples by positive and negative representations. Appl. Soft Comput. Wenjian Luo, Chenwang Wu, Li Ni, Nan Zhou, Zhenya Zhang
2022	A*	`conf`	Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen
2022	—	`conf`	Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
2022	J	`jnl`	Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen
2022	B	`conf`	Towards Robust Recommender Systems via Triple Cooperative Defense. WISE Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen
2022	J	`jnl`	Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen
2022	J	`jnl`	Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou
2021	A*	`conf`	Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan
2021	B	`conf`	Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples. CEC Chenwang Wu, Wenjian Luo, Nan Zhou, Peilan Xu, Tao Zhu
2021	—	`conf`	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) 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
2021	A*	`conf`	Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2020	J	`jnl`	Enhancing the privacy of negative surveys using negative combined categories. Appl. Soft Comput. Hao Jiang, Wenjian Luo, Binyao Duan, Chenwang Wu
2019	J	`jnl`	Random Directional Attack for Fooling Deep Neural Networks. CoRR Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni
2018	—	`conf`	A Crop-Based Multi-Branch Network for Matching Cost Computation. CISP-BMEI Yu Chen, Youshen Xia, Chenwang Wu