Zhi Zheng's Homepage

Zhi Zheng 郑值

PhD Candidate
Anhui Province Key Laboratory of Big Data Analysis and Application,
School of Data Science,
University of Science and Technology of China (USTC)

Email: zhengzhi97@mail.ustc.edu.cn

Biography

I am a PhD candidate in Anhui Province Key Laboratory of Big Data Analysis and Application, School of Data Science, University of Science and Technology of China (USTC).

I am fortunate to be supervised by Prof. Hui Xiong and Prof. Tong Xu. Here is my Google Scholar.

Previously, I received the B.E. degree in Computer Science from USTC in 2019.

Internships

Research Intern, Iflytek, Hefei, China, Aug. 2018 ~ Jan. 2019
Rhino-Bird Research Elite Program, Tencent Jarvis Lab, Beijing, China, Jun. 2021 ~ Jul. 2022
Research Intern, Baidu TIC, Beijing, China, Jul. 2022 to Dec. 2022
Research Intern, BOSS Zhipin CSL, Beijing, China, Dec. 2022 to Apr. 2024

Honors

2016~2017：优秀学生奖学金银奖，英才班奖学金
2018：元庆奖学金
2019~2020：学业奖学金一等
2020：深交所奖学金，科技战疫-大数据公益挑战赛方案赛道冠军 [相关报道]
2022：博士国家奖学金，腾讯犀牛鸟精英人才计划奖学金 [相关报道]

Service

中国中文信息学会青年工作委员会学生执委会副主任
PC Member：WWW，KDD，AAAI，SDM，etc.

Publications

Conference Papers :

Zhi Zheng†, Zhaopeng Qiu†, Xiao Hu, Likang Wu, Hengshu Zhu*, Hui Xiong*, Generative Job Recommendations with Large Language Model, Arxiv.
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, Arxiv.
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. [PDF]

Journal Papers :

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. [PDF]