Xu Chen

According to our database, Xu Chen authored at least 33 papers between 2018 and 2026.

Collaborative distances:

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

2026

Rejection Mixing: Fast Semantic Propagation of Mask Tokens for Efficient DLLM Inference.

Yushi Ye, Feng Hong, Huangjie Zheng, Xu Chen, Zhiyong Chen, Yanfeng Wang, Jiangchao Yao

CoRR, February, 2026

Multi-Branch Cooperation Networks for Enhanced Click-Through Rate Prediction in Large-Scale E-Commerce Search.

Xu Chen, Zida Cheng, Shuai Xiao, Chen Ju, Xiaoming Liu, Jinsong Lan, Xiaoyong Zhu, Bo Zheng

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

2025

Enhancing Sequential Recommendation with World Knowledge from Large Language Models.

Tianjie Dai, Xu Chen, Yunmeng Shu, Jinsong Lan, Xiaoyong Zhu, Jiangchao Yao, Bo Zheng

CoRR, November, 2025

Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation.

Yizhu Chen, Chen Ju, Zhicheng Wang, Shuai Xiao, Xu Chen, Jinsong Lan, Xiaoyong Zhu, Ying Chen

CoRR, November, 2025

Explore More, Learn Better: Parallel MLLM Embeddings under Mutual Information Minimization.

Zhicheng Wang, Chen Ju, Xu Chen, Shuai Xiao, Jinsong Lan, Xiaoyong Zhu, Ying Chen, Zhiguo Cao

CoRR, November, 2025

Leveraging Scene Context with Dual Networks for Sequential User Behavior Modeling.

Xu Chen, Yunmeng Shu, Yuangang Pan, Jinsong Lan, Xiaoyong Zhu, Shuai Xiao, Haojin Zhu, Ivor W. Tsang, Bo Zheng

CoRR, September, 2025

Active Sampling for Node Attribute Completion on Graphs.

Benyuan Liu, Xu Chen, Yanfeng Wang, Ya Zhang, Zhi Cao, Ivor W. Tsang

CoRR, January, 2025

2024

Coarse-to-Fine Contrastive Learning on Graphs.

Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W. Tsang, Lejian Liao

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Learning node representations against perturbations.

Xu Chen, Yuangang Pan, Ivor W. Tsang, Ya Zhang

Pattern Recognit., January, 2024

Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation.

Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei Zhang

CoRR, 2024

Branches, Assemble! Multi-Branch Cooperation Network for Large-Scale Click-Through Rate Prediction at Taobao.

Xu Chen, Zida Cheng, Yuangang Pan, Shuai Xiao, Xiaoming Liu, Jinsong Lan, Qingwen Liu, Ivor W. Tsang

CoRR, 2024

Enhancing Cross-Domain Click-Through Rate Prediction via Explicit Feature Augmentation.

Xu Chen, Zida Cheng, Jiangchao Yao, Chen Ju, Weilin Huang, Jinsong Lan, Xiaoyi Zeng, Shuai Xiao

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models.

Chen Ju, Haicheng Wang, Haozhe Cheng, Xu Chen, Zhonghua Zhai, Weilin Huang, Jinsong Lan, Shuai Xiao, Bo Zheng

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su

ACM Trans. Inf. Syst., January, 2023

Contrastive Attraction and Contrastive Repulsion for Representation Learning.

Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou

Trans. Mach. Learn. Res., 2023

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Models.

Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao

CoRR, 2023

Cross-domain Augmentation Networks for Click-Through Rate Prediction.

Xu Chen, Zida Cheng, Shuai Xiao, Xiaoyi Zeng, Weilin Huang

CoRR, 2023

2022

Symbiotic Graph Neural Networks for 3D Skeleton-Based Human Action Recognition and Motion Prediction.

Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning on Attribute-Missing Graphs.

Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W. Tsang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Neural Message Passing for Visual Relationship Detection.

Yue Hu, Siheng Chen, Xu Chen, Ya Zhang, Xiao Gu

CoRR, 2022

2021

Decoupled Variational Embedding for Signed Directed Networks.

Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang

ACM Trans. Web, 2021

Contrastive Conditional Transport for Representation Learning.

Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor W. Tsang, Jingren Zhou, Mingyuan Zhou

CoRR, 2021

2020

Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan, Jingchao Su

CoRR, 2020

Learning Robust Node Representations on Graphs.

Xu Chen, Ya Zhang, Ivor W. Tsang, Yuangang Pan

CoRR, 2020

Collaborative Adversarial Learning for RelationalLearning on Multiple Bipartite Graphs.

Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li

CoRR, 2020

Dual Graph Embedding for Object-Tag LinkPrediction on the Knowledge Graph.

Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang

CoRR, 2020

Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs.

Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

Dual Graph Embedding for Object-Tag Link Prediction on the Knowledge Graph.

Chenyang Li, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Yanfeng Wang

Proceedings of the 2020 IEEE International Conference on Knowledge Graph, 2020

2019

Cascading: Association Augmented Sequential Recommendation.

Xu Chen, Kenan Cui, Ya Zhang, Yanfeng Wang

CoRR, 2019

Node Attribute Generation on Graphs.

Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang

CoRR, 2019

Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition.

Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Variational Collaborative Learning for User Probabilistic Representation.

Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang

CoRR, 2018

Recommendation with Hybrid Interest Model.

Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018