Jingsen Zhang

According to our database, Jingsen Zhang authored at least 15 papers between 2021 and 2024.

Collaborative distances:

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

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

Active Explainable Recommendation with Limited Labeling Budgets.

Jingsen Zhang, Xiaohe Bo, Chenxi Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Xu Chen

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Data Augmented Sequential Recommendation Based on Counterfactual Thinking.

Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen

IEEE Trans. Knowl. Data Eng., September, 2023

RecAgent: A Novel Simulation Paradigm for Recommender Systems.

Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen

CoRR, 2023

REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation.

Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen

CoRR, 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

Sequential Recommendation with User Evolving Preference Decomposition.

Weiqi Shao, Xu Chen, Jiashu Zhao, Long Xia, Jingsen Zhang, Dawei Yin

Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 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

REASONER: An Explainable Recommendation Dataset with Comprehensive Labeling Ground Truths.

Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Xin Zhao, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Recommendation with Dynamic Natural Language Explanations.

Xi Li, Jingsen Zhang, Xiaohe Bo, Lei Wang, Xu Chen

Proceedings of the International Joint Conference on Neural Networks, 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

An Optimized Training Method for GAN-Based Hyperspectral Image Classification.

Fan Zhang, Jing Bai, Jingsen Zhang, Zhu Xiao, Changxing Pei

IEEE Geosci. Remote. Sens. Lett., 2021

Counterfactual Data-Augmented Sequential Recommendation.

Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Causally Attentive Collaborative Filtering.

Jingsen Zhang, Xu Chen, Wayne Xin Zhao

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021