Publications
[* indicates the equal contribution and † indicates the corresponding author]. You can also find my articles on my Google Scholar profile. .
News
· [2024.10] One of our work about pretraining model of large-scale user behaviors at Taobao will come out.
· [2024.08] One of our work about multi-branch cooperation network for large-scale CTR at Taobao will come out.
· [2024.08] One of our work about counterfactual learning based search enhanced recommendation will come out.
· [2024.07] Our work is accepted by ECCV 2024, about innovative acceleration of foundation models.
· [2024.02] Our work is accepted by WWW 2024, about cross-domain CTR prediction via explicit feature augmentation.
Papers
- 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 https://arxiv.org/abs/2411.13057 (Arxiv Nov. 2024) - Counterfactual Learning-Driven Representation Disentanglement for Search-Enhanced Recommendation
Jiajun Cui, Xu Chen, Shuai Xiao, Chen Ju, Jinsong Lan, Qingwen Liu, Wei Zhang
https://arxiv.org/abs/2411.13057 (Arxiv Nov. 2024) - Turbo: Informativity-Driven Acceleration Plug-in for Vision-Language Models
Chen Ju, Haicheng Wang, Zeqian Li, Xu Chen, Zhonghua Zhai, Weilin Huang, Shuai Xiao
European Conference on Computer Vision (ECCV 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
ACM The Web Conference (WWW 2024) - Coarse-to-fine Contrastive Learning on Graphs
Peiyao Zhao, Yuangang Pan, Xin Li, Xu Chen, Ivor W Tsang, Lejian Liao
IEEE Transactions on Neural Networks and Learning Systems (TNNLS 2023) - Towards Equivalent Transformation of User Preferences in Cross Domain Recommendation
Xu Chen,Ya Zhang,Ivor Tsang,Yuangang Pan,Jingchao Su
ACM Transactions on Information Systems (ACM TOIS 2023) - Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng, Xu Chen*, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou
Transactions on Machine Learning Research (TMLR 2023) - Active Sampling for Node Attribute Completion on Graphs
Benyuan Liu, Xu Chen, Yanfeng Wang, Ya Zhang, Zhi Cao, Ivor Tsang
arxiv 2023 - Neural Message Passing for Visual Relationship Detection
Yue Hu, Siheng Chen, Xu Chen, Ya Zhang, Xiao Gu
International Conference on Machine Learning workshop (ICML workshop 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 Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021) - Learning on Attribute-Missing Graphs
Xu Chen,Siheng Chen,Jiangchao Yao,Huangjie Zheng,Ya Zhang, Ivor W Tsang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2020) - Learning Node Representations against Perturbations
Xu Chen, Yuangang Pan, Ivor Tsang, Ya Zhang
Pattern Recognition (PR 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
IEEE International Conference on Knowledge Graphs (ICKG 2020) - Collaborative Adversarial Learning for Relational Learning on Multiple Bipartite Graphs
Jingchao Su, Xu Chen, Ya Zhang, Siheng Chen, Dan Lv, Chenyang Li
IEEE International Conference on Knowledge Graphs (ICKG 2020) - Decoupled Variational Embedding for Signed Directed Networks
Xu Chen, Jiangchao Yao, Maosen Li, Ya Zhang, Yanfeng Wang
ACM Transactions on the Web (TWEB 2019) - Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian
International Conference on Computer Vision and Pattern Recognition (CVPR 2019) - Recommendation with Hybrid Interest Model
Hanqing Zhao, Xu Chen, Jiangchao Yao, Ya Zhang, Yanfeng Wang
IEEE International Conference on Data Mining Workshops (ICDM workshop 2018) - Variational Collaborative Learning for User Probabilistic Representation
Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang
The AAAI-2019 workshop on recommender systems and natural language processing (AAAI workshop 2018)