Zhi Zheng （郑值）
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Postdoc Researcher |
About me
Zhi Zheng is a postdoc researcher in the State Key Laboratory of Cognitive Intelligence, School of Computer Science and Technology, USTC, under the supervision of Prof. Enhong Chen.
He received his Ph.D. degree in 2024 from School of Artificial Intelligence and Data Science, USTC, under the supervision of Prof. Hui Xiong and Prof. Tong Xu. Here is his Google Scholar.
From Jun. 2021 to Jul. 2022, he was a research intern in Tencent Jarvis Lab, under the supervision of Dr. Xian Wu and Zhaopeng Qiu.
From Jul. 2022 to Apr. 2024, he was a research intern in Baidu TIC (Jul. 2022 to Dec. 2022) and BOSS Zhipin CSL (Dec. 2022 to Apr. 2024), under the supervision of Dr. Hengshu Zhu.
Previously, he received the B.S. degree in Computer Science from USTC in 2019.
His research interests include Artificial Intelligence and Data Mining, especially LLM-based reasoning and agents.
Publications
Conference Papers
- Tianhui Ma, Shuyao Wang, Zhi Zheng*, Hui Xiong*,
Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling,
In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI'25), Montreal, Canada.
- Shuyao Wang, Zhi Zheng*, Yongduo Sui, Hui Xiong*,
Unleashing the Power of Large Language Model for Denoising Recommendation,
In Proceedings of The Web Conference 2025, (WWW'25), Sydney, Australia.
- Zipeng Gao, Qingrong Xia, Tong Xu*, Xinyu Duan, Zhi Zheng*, Zhefeng Wang*, Enhong Chen,
Multi-branch Self-Drafting for LLM Inference Acceleration,
In Proceedings of The 39th Annual AAAI Conference on Artificial Intelligence, (AAAI'25), Philadelphia, Pennsylvania, USA.
- Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong,
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation,
In Proceedings of The 39th Annual AAAI Conference on Artificial Intelligence, (AAAI'25), Philadelphia, Pennsylvania, USA.
- Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen,
Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation,
In Proceedings of The 39th Annual AAAI Conference on Artificial Intelligence, (AAAI'25), Philadelphia, Pennsylvania, USA.
- Tong Bao, Che Liu, Derong Xu, Zhi Zheng*, Tong Xu*,
MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval,
In Proceedings of The 31st International Conference on Computational Linguistics, (COLING'25), Abu Dhabi, UAE.
(Outstanding Paper Award, 5/1922)
- Shengming Zhang, Le Zhang, Jingbo Zhou, Zhi Zheng, Hui Xiong,
LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning,
In Proceedings of The 31st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD'25), Toronto, ON, Canada.
- Ziqi Wang, Chen Zhu*, Zhi Zheng*, Xinhang Li, Tong Xu*, Yongyi He, Qi Liu, Ying Yu, and Enhong Chen*,
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding,
In Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, Florida, USA.
- Wei Chen, Lili Zhao, Zhi Zheng*, Tong Xu*, Yang Wang, and Enhong Chen,
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition,
In Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, Florida, USA.
- WenShuo Chao, Zhi Zheng, Hengshu Zhu*, and Hao Liu*,
Make Large Language Model a Better Ranker,
In Proceedings of The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, Florida, USA.
- Qi Liu, Yongyi He, Tong Xu, Defu Lian*, Che Liu, Zhi Zheng* and Enhong Chen,
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models,
In Proceedings of The 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), Boise, Idaho, USA.
- Tong Bao, Tong Xu*, Derong Xu, Zhi Zheng*,
Modal Complementarity based on Multimodal Large Language Model for Text-based Person Retrieval,
In Proceedings of The 8th APWeb-WAIM joint international conference on Web and Big Data (APWeb-WAIM'24), Jinhua, China.
- Che Liu, Tong Xu, Qi Liu, Zhi Zheng*, Jingyu Peng, Enhong Chen*,
MERGE: Multi-View Relationship Graph Network for Event-Driven Stock Movement Prediction,
In Proceedings of The 8th APWeb-WAIM joint international conference on Web and Big Data (APWeb-WAIM'24), Jinhua, China.
- Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu*, Hui Xiong*,
MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment,
In Proceedings of The 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'24), Washington D.C., USA.
- Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu*, Hui Xiong*,
Harnessing Large Language Models for Text-Rich Sequential Recommendation,
In Proceedings of The Web Conference 2024 (WWW'24), Singapore, 2024.
- Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu*, Hao Liu*,
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction,
In Proceedings of The 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024.
- Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu*, Enhong Chen*,
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations,
In Proceedings of The 38th Annual AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024.
- Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong*,
Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation,
In Proceedings of the 17th ACM International Conference on Web Search and Data Mining, (WSDM'24), Mérida, Yucatán, Mexico, 2024.
- Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu*, Hui Xiong*,
Generative Learning Plan Recommendation for Employees: A Work Performance-aware Reinforcement Learning Approach,
In Proceedings of the 17th ACM Conference on Recommender Systems, (Recsys'23), Singapore, 2023.
- Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu*,
BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment,
In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD'23), Long Beach, CA, 2023.
- Yejing Wang, Shen Ge, Xiangyu Zhao*, Xian Wu*, Tong Xu, Chen Ma, Zhi Zheng,
Doctor Specific Tag Recommendation for Online Medical Record Management,
In Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, (KDD'23), Long Beach, CA, 2023.
- Cong Wang, Zhi Zheng, Tong Xu*, Zikai Yin, Enhong Chen,
Interaction-aware Temporal Prescription Generation via Message Passing Neural Network,
In Proceedings of the 2022 CAAI International Conference on Artificial Intelligence, (CICAI'22), Beijing, China, 2022.
- Zhi Zheng, Zhaopeng Qiu, Hui Xiong*, Xian Wu*, Tong Xu*, Xiangyu Zhao, Enhong Chen,
DDR: Dialogue based Doctor Recommendation for Online Medical Service,
In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, (KDD'22), Washington DC, USA, 2022.
- Zhi Zheng, Zhaopeng Qiu, Tong Xu*, Xian Wu*, Xiangyu Zhao, Enhong Chen, Hui Xiong,
CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction,
In Proceedings of The Web Conference 2022 (WWW'22), Lyon, France, 2022.
- Zhi Zheng, Chao Wang, Tong Xu*, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen,
Drug Package Recommendation via Interaction-aware Graph Induction,
In Proceedings of The Web Conference 2021 (WWW'21), Ljubljana, Slovenia, 2021.
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Journal Papers
- Hui Xiong*, Zhi Zheng*, Zhaopeng Qiu, Xian Wu*, Tong Xu, Enhong Chen,
Prescription Generation via Multi-source Context-aware Hierarchical Transformer,
SCIENCE CHINA Information Sciences (SCIS), 2025.
- Zhi Zheng†, Zhaopeng Qiu† Chen Zhu, Xiao Hu, Likang Wu, Yang Song, Hengshu Zhu*, Hui Xiong*,
Exploiting Large Language Model with Reinforcement Learning for Generative Job Recommendations,
In Frontiers of Computer Science (FCS), 2025.
- Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu,
Quasi-Metric Learning for Bilateral Person-Job Fit,
In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
- Likang Wu†, Zhi Zheng†, Zhaopeng Qiu†, Hao Wang*, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu*, Qi Liu, Hui Xiong*, Enhong Chen*,
A Survey on Large Language Models for Recommendation,
In World Wide Web (WWWJ), 2024.
- Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu*, Hui Xiong*,
Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment,
In IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
- Zhi Zheng, Chao Wang, Tong Xu*, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen,
Interaction-aware Drug Package Recommendation via Policy Gradient,
In ACM Transactions on Information Systems (TOIS), 2022.
[Code]
- Zhi Zheng, Tong Xu*, Chuan Qin, Xiangwen Liao, Yi Zheng, Tongzhu Liu, Guixian Tong,
Multi-source Contextual Collaborative Recommendation for Medicine,
In Journal of Computer Research and Development (in Chinese) , 2020, 57(8), 1741-1754.
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