Jiakai Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
10
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Optimizing Multi-Turn Interactive Recommendation Agents via Generative Intrinsic Motivation. | Xueyang Feng, Jiakai Tang, Xu Chen, Quanyu Dai, Zhenhua Dong |
| 2026 | WWW | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | NAACL | 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 |
| 2025 | NAACL | 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 |
| 2024 | DASFAA | 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 |
| 2024 | DASFAA | Fairness-aware Cross-Domain Recommendation. | Jiakai Tang, Xueyang Feng, Xu Chen |
| 2024 | DASFAA | Robust Graph Recommendation via Noise-Aware Adversarial Perturbation. | Jiakai Tang, Zuxu Sun, Wei Yao, Xu Chen |
| 2024 | DASFAA | Alleviating Dimensional Collapse Problem in Deep Recommender Models by Designing Uniformity Layers. | Yabin Zhang, Jiakai Tang, Xu Chen |
| 2024 | KDD | 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 |
| 2024 | KDD | Natural Language Explainable Recommendation with Robustness Enhancement. | Jingsen Zhang, Jiakai Tang, Xu Chen, Wenhui Yu, Lantao Hu, Peng Jiang, Han Li |
| 2023 | ICDM | Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization. | Zexu Sun, Bowei He, Ming Ma, Jiakai Tang, Yuchen Wang, Chen Ma, Dugang Liu |
| 2023 | RecSys | 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 |
| 2023 | WWW | Recommendation with Causality enhanced Natural Language Explanations. | Jingsen Zhang, Xu Chen, Jiakai Tang, Weiqi Shao, Quanyu Dai, Zhenhua Dong, Rui Zhang |
| 2023 | SIGIR | 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 |
| 2022 | CIKM | 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 |
| 2021 | CSCWD | Region-aware POI Recommendation with Semantic Spatial Graph. | Jiakai Tang, Jiahui Jin, Zijia Miao, Binjie Zhang, Qi An, Jinghui Zhang |