Chenwang Wu

According to our database, Chenwang Wu authored at least 24 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Markov-Driven Graph Convolutional Networks for Social Spammer Detection.

Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen

IEEE Trans. Knowl. Data Eng., December, 2023

Securing recommender system via cooperative training.

Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen

World Wide Web (WWW), November, 2023

Influence-Driven Data Poisoning for Robust Recommender Systems.

Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

MAD-Net: Multi-attention dense network for functional bone marrow segmentation.

Chuanbo Qin, Bin Zheng, Wanying Li, Hongbo Chen, Junying Zeng, Chenwang Wu, Shufen Liang, Jun Luo, Shuquan Zhou, Lin Xiao

Comput. Biol. Medicine, March, 2023

Model Stealing Attack against Recommender System.

Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian, Enhong Chen

CoRR, 2023

Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity.

Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian, Enhong Chen

CoRR, 2023

Toward Robust Recommendation via Real-time Vicinal Defense.

Yichang Xu, Chenwang Wu, Defu Lian

CoRR, 2023

When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.

Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen

CoRR, 2023

Membership Inference Attacks Against Sequential Recommender Systems.

Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

A Causality Inspired Framework for Model Interpretation.

Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction.

Chaoqun Su, Chenwang Wu, Defu Lian

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting.

Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou

CoRR, 2022

Boosting Factorization Machines via Saliency-Guided Mixup.

Chenwang Wu, Defu Lian, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao

CoRR, 2022

Detecting adversarial examples by positive and negative representations.

Wenjian Luo, Chenwang Wu, Li Ni, Nan Zhou, Zhenya Zhang

Appl. Soft Comput., 2022

Towards Robust Recommender Systems via Triple Cooperative Defense.

Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen

Proceedings of the Web Information Systems Engineering - WISE 2022, 2022

Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation.

Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian, Enhong Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy.

Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.

Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.

Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Genetic Algorithm with Multiple Fitness Functions for Generating Adversarial Examples.

Chenwang Wu, Wenjian Luo, Nan Zhou, Peilan Xu, Tao Zhu

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Enhancing the privacy of negative surveys using negative combined categories.

Hao Jiang, Wenjian Luo, Binyao Duan, Chenwang Wu

Appl. Soft Comput., 2020

2019

Random Directional Attack for Fooling Deep Neural Networks.

Wenjian Luo, Chenwang Wu, Nan Zhou, Li Ni

CoRR, 2019

2018

A Crop-Based Multi-Branch Network for Matching Cost Computation.

Yu Chen, Youshen Xia, Chenwang Wu

Proceedings of the 11th International Congress on Image and Signal Processing, 2018