Jian Wu

According to our database, Jian Wu authored at least 19 papers between 2019 and 2026.

Collaborative distances:

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

2026

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction.

Jiakai Tang, Runfeng Zhang, Weiqiu Wang, Yifei Liu, Chuan Wang, Xu Chen, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng

CoRR, April, 2026

HiSAC: Hierarchical Sparse Activation Compression for Ultra-long Sequence Modeling in Recommenders.

Kun Yuan, Junyu Bi, Daixuan Cheng, Changfa Wu, Shuwen Xiao, Binbin Cao, Jian Wu, Yuning Jiang

CoRR, February, 2026

Generative Pseudo-Labeling for Pre-Ranking with LLMs.

Junyu Bi, Xinting Niu, Daixuan Cheng, Kun Yuan, Tao Wang, Binbin Cao, Jian Wu, Yuning Jiang

CoRR, February, 2026

RankGR: Rank-Enhanced Generative Retrieval with Listwise Direct Preference Optimization in Recommendation.

Kairui Fu, Changfa Wu, Kun Yuan, Binbin Cao, Dunxian Huang, Yuliang Yan, Junjun Zheng, Jianning Zhang, Silu Zhou, Jian Wu, Kun Kuang

CoRR, February, 2026

Parallel Latent Reasoning for Sequential Recommendation.

Jiakai Tang, Xu Chen, Wen Chen, Jian Wu, Yuning Jiang, Bo Zheng

CoRR, January, 2026

PI2I: A Personalized Item-Based Collaborative Filtering Retrieval Framework.

Shaoqing Wang, Yingcai Ma, Kairui Fu, Ziyang Wang, Dunxian Huang, Yuliang Yan, Jian Wu

Proceedings of the ACM Web Conference 2026, 2026

Multi-Behavior Sequential Modeling with Transition-Aware Graph Attention Network for E-Commerce Recommendation.

Hanqi Jin, Gaoming Yang, Zhangming Chan, Yapeng Yuan, Longbin Li, Fei Sun, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng

Proceedings of the ACM Web Conference 2026, 2026

2025

Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework.

Tao Wang, Xun Luo, Jinlong Guo, Yuliang Yan, Jian Wu, Yuning Jiang, Bo Zheng

CoRR, December, 2025

Interactive Recommendation Agent with Active User Commands.

Jiakai Tang, Yujie Luo, Xunke Xi, Fei Sun, Xueyang Feng, Sunhao Dai, Chao Yi, Dian Chen, Zhujin Gao, Yang Li, Xu Chen, Wen Chen, Jian Wu, Yuning Jiang, Bo Zheng

CoRR, September, 2025

FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets.

Kairui Fu, Tao Zhang, Shuwen Xiao, Ziyang Wang, Xinming Zhang, Chenchi Zhang, Yuliang Yan, Junjun Zheng, Yu Li, Zhihong Chen, Jian Wu, Xiangheng Kong, Shengyu Zhang, Kun Kuang, Yu-Gang Jiang, Bo Zheng

CoRR, September, 2025

RecGPT Technical Report.

Chao Yi, Dian Chen, Gaoyang Guo, Jiakai Tang, Jian Wu, Jing Yu, Mao Zhang, Sunhao Dai, Wen Chen, Wenjun Yang, Yuning Jiang, Zhujin Gao, Bo Zheng, Chi Li, Dimin Wang, Dixuan Wang, Fan Li, Fan Zhang, Haibin Chen, Haozhuang Liu, Jialin Zhu, Jiamang Wang, Jiawei Wu, Jin Cui, Ju Huang, Kai Zhang, Kan Liu, Lang Tian, Liang Rao, Longbin Li, Lulu Zhao, Na He, Peiyang Wang, Qiqi Huang, Tao Luo, Wenbo Su, Xiaoxiao He, Xin Tong, Xu Chen, Xunke Xi, Yang Li, Yaxuan Wu, Yeqiu Yang, Yi Hu, Yinnan Song, Yuchen Li, Yujie Luo, Yujin Yuan, Yuliang Yan, Zhengyang Wang, Zhibo Xiao, Zhixin Ma, Zile Zhou, Ziqi Zhang

CoRR, July, 2025

TranSUN: A Preemptive Paradigm to Eradicate Retransformation Bias Intrinsically from Regression Models in Recommender Systems.

Jiahao Yu, Haozhuang Liu, Yeqiu Yang, Lu Chen, Jian Wu, Yuning Jiang, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models.

Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

TBGRecall: A Generative Retrieval Model for E-commerce Recommendation Scenarios.

Zida Liang, Changfa Wu, Dunxian Huang, Weiqiang Sun, Ziyang Wang, Yuliang Yan, Jian Wu, Yuning Jiang, Bo Zheng, Ke Chen, Silu Zhou, Yu Zhang

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao.

Yingcai Ma, Ziyang Wang, Yuliang Yan, Jian Wu, Yuning Jiang, Longbin Li, Wen Chen, Jianhang Huang

CoRR, 2024

2020

Privileged Features Distillation at Taobao Recommendations.

Chen Xu, Quan Li, Junfeng Ge, Jinyang Gao, Xiaoyong Yang, Changhua Pei, Fei Sun, Jian Wu, Hanxiao Sun, Wenwu Ou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Wenwu Ou, Dan Pei

CoRR, 2019

Personalized re-ranking for recommendation.

Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.

Fei Sun, Jun Liu, Jian Wu, Changhua Pei, Xiao Lin, Wenwu Ou, Peng Jiang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019