Jiakai Tang

According to our database, Jiakai Tang authored at least 28 papers between 2021 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

Explainable Recommendation with Simulated Human Feedback.

Jiakai Tang, Jingsen Zhang, Zihang Tian, Xueyang Feng, Lei Wang, Xu Chen

ACM Trans. Inf. Syst., January, 2026

Parallel Latent Reasoning for Sequential Recommendation.

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

CoRR, January, 2026

The 2nd Workshop on Human-Centered Recommender Systems.

Kaike Zhang, Jiakai Tang, Du Su, Shuchang Liu, Julian J. McAuley, Lina Yao, Qi Cao, Yue Feng, Fei Sun

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

Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation.

Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong

Proceedings of the ACM Web Conference 2026, 2026

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

OnePiece: Bringing Context Engineering and Reasoning to Industrial Cascade Ranking System.

Sunhao Dai, Jiakai Tang, Jiahua Wu, Kun Wang, Yuxuan Zhu, Bingjun Chen, Bangyang Hong, Yu Zhao, Cong Fu, Kangle Wu, Yabo Ni, Anxiang Zeng, Wenjie Wang, Xu Chen, Jun Xu, See-Kiong Ng

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

HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation.

Jiakai Tang, Jingsen Zhang, Zihang Tian, Xueyang Feng, Lei Wang, Xu Chen

CoRR, April, 2025

User Behavior Simulation with Large Language Model-based Agents.

Lei Wang, Jingsen Zhang, Hao Yang, Zhiyuan Chen, Jiakai Tang, Zeyu Zhang, Xu Chen, Yankai Lin, Hao Sun, Ruihua Song, Xin Zhao, Jun Xu, Zhicheng Dou, Jun Wang, Ji-Rong Wen

ACM Trans. Inf. Syst., March, 2025

Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation.

Jiakai Tang, Sunhao Dai, Teng Shi, Jun Xu, Xu Chen, Wen Chen, Wu Jian, Yuning Jiang

CoRR, March, 2025

GenSim: A General Social Simulation Platform with Large Language Model based Agents.

Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Improving Retrospective Language Agents via Joint Policy Gradient Optimization.

Xueyang Feng, Bo Lan, Quanyu Dai, Lei Wang, Jiakai Tang, Xu Chen, Zhenhua Dong, Ji-Rong Wen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

KAPA: A Deliberative Agent Framework with Tree-Structured Knowledge Base for Multi-Domain User Intent Understanding.

Jiakai Tang, Shiqi Shen, Zhipeng Wang, Gong Zhi, Xueyang Feng, Zexu Sun, Haoran Tan, Xu Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent.

Xueyang Feng, Jingsen Zhang, Jiakai Tang, Wei Li, Guohao Cai, Xu Chen, Quanyu Dai, Yue Zhu, Zhenhua Dong

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

A survey on large language model based autonomous agents.

Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Jirong Wen

Frontiers Comput. Sci., December, 2024

Natural Language Explainable Recommendation with Robustness Enhancement.

Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning.

Jiakai Tang, Sunhao Dai, Zexu Sun, Xu Chen, Jun Xu, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Alleviating Dimensional Collapse Problem in Deep Recommender Models by Designing Uniformity Layers.

Yabin Zhang, Jiakai Tang, Xu Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Robust Graph Recommendation via Noise-Aware Adversarial Perturbation.

Jiakai Tang, Zuxu Sun, Wei Yao, Xu Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Fairness-aware Cross-Domain Recommendation.

Jiakai Tang, Xueyang Feng, Xu Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Towards Long-Text Entity Resolution with Chain-of-Thought Knowledge Augmentation from Large Language Models.

Jiakai Tang, Wenzhou Dou, Derong Shen, Tiezheng Nie, Yue Kou

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Recommendation with Causality enhanced Natural Language Explanations.

Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems.

Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

When Fairness meets Bias: a Debiased Framework for Fairness aware Top-N Recommendation.

Jiakai Tang, Shiqi Shen, Zhipeng Wang, Zhi Gong, Jingsen Zhang, Xu Chen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization.

Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

RecBole 2.0: Towards a More Up-to-Date Recommendation Library.

Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Region-aware POI Recommendation with Semantic Spatial Graph.

Jiakai Tang, Jiahui Jin, Zijia Miao, Binjie Zhang, Qi An, Jinghui Zhang

Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021