Zhi Zheng

According to our database, Zhi Zheng authored at least 55 papers between 2021 and 2026.

Collaborative distances:

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

2026

A graph embedding-based dynamic update method for intelligence knowledge graphs.

Yong Chen, Wenjie Liu, Xiaoning Wu, Nuo Chen, Zhi Zheng, Tong Xu, Enhong Chen

Frontiers Comput. Sci., July, 2026

Entropy-KL Divergence-based Token Masking: A Novel Approach for Selective Fine-tuning of Large Language Models.

Qi Liu, Mingdi Sun, Yongyi He, Zhi Zheng, Tong Xu, Yi Zheng, Zhefeng Wang, Enhong Chen

CoRR, May, 2026

LLM-ALSO: LLM-Driven Adaptive Learning-Signal Optimization for Multi-Agent Reinforcement Learning.

Xiaoguang Wu, Zhi Zheng, Hui Xiong

CoRR, May, 2026

Defending LLM-based Multi-Agent Systems Against Cooperative Attacks with Sentence-Level Rectification.

Yaoyang Luo, Zhi Zheng, Ziwei Zhao, Tong Xu, Zhao Jielun, Wenjun Xue, Yong Chen, Enhong Chen

CoRR, May, 2026

More Edits, More Stable: Understanding the Lifelong Normalization in Sequential Model Editing.

Xin Ma, Wei Chen, Qi Liu, Derong Xu, Zhi Zheng, Tong Xu, Enhong Chen

CoRR, May, 2026

Roll Call Vote Prediction With Graph Reconstruction and Attention-Based Pruning.

Jiayue Chen, Zikai Yin, Ziwei Zhao, Fake Lin, Zhi Zheng, Suojuan Zhang, Tong Xu, Yang Wang, Enhong Chen

IEEE Trans. Comput. Soc. Syst., April, 2026

STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering.

Wei Chen, Lili Zhao, Zhi Zheng, Huijun Hou, Tong Xu

CoRR, April, 2026

DynLLM: When Large Language Models Meet Dynamic Graph-based Recommendation.

Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen

ACM Trans. Inf. Syst., February, 2026

Knowledge Graph Pruning for Recommendation.

Fake Lin, Xi Zhu, Ziwei Zhao, Deqiang Huang, Yu Yu, Xueying Li, Zhi Zheng, Tong Xu, Enhong Chen

ACM Trans. Inf. Syst., January, 2026

Exploiting large language model with reinforcement learning for generative job recommendations.

Zhi Zheng, Zhaopeng Qiu, Chen Zhu, Xiao Hu, Likang Wu, Yang Song, Hengshu Zhu, Hui Xiong

Frontiers Comput. Sci., January, 2026

DynaDebate: Breaking Homogeneity in Multi-Agent Debate with Dynamic Path Generation.

Zhenghao Li, Zhi Zheng, Wei Chen, Jielun Zhao, Yong Chen, Tong Xu, Enhong Chen

CoRR, January, 2026

Prescription generation via multi-source context-aware hierarchical transformer.

Hui Xiong, Zhi Zheng, Zhaopeng Qiu, Xian Wu, Tong Xu, Enhong Chen

Sci. China Inf. Sci., 2026

Token-level Collaborative Alignment for LLM-based Generative Recommendation.

Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu

Proceedings of the ACM Web Conference 2026, 2026

VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit.

Junda Lin, Zhaomeng Zhou, Zhi Zheng, Shuochen Liu, Tong Xu, Yong Chen, Enhong Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data.

Fengxian Dong, Zhi Zheng, Xiao Han, Wei Chen, Jingqing Ruan, Tong Xu, Yong Chen, Enhong Chen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A Survey on Parallel Reasoning.

Ziqi Wang, Boye Niu, Zipeng Gao, Zhi Zheng, Tong Xu, Linghui Meng, Zhongli Li, Jing Liu, Yilong Chen, Chen Zhu, Hua Wu, Haifeng Wang, Enhong Chen

CoRR, October, 2025

A2R: An Asymmetric Two-Stage Reasoning Framework for Parallel Reasoning.

Ziqi Wang, Boye Niu, Zhongli Li, Linghui Meng, Jing Liu, Zhi Zheng, Tong Xu, Hua Wu, Haifeng Wang, Enhong Chen

CoRR, September, 2025

Quasi-Metric Learning for Bilateral Person-Job Fit.

Yingpeng Du, Hongzhi Liu, Hengshu Zhu, Yang Song, Zhi Zheng, Zhonghai Wu

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

Unleashing the Power of Large Language Model for Denoising Recommendation.

Shuyao Wang, Zhi Zheng, Yongduo Sui, Hui Xiong

Proceedings of the ACM on Web Conference 2025, 2025

SGN: Shifted Window-Based Hierarchical Variable Grouping for Multivariate Time Series Classification.

Zenan Ying, Zhi Zheng, Huijun Hou, Tong Xu, Qi Liu, Jinke Wang, Wei Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Large Language Models Are Not Stable Recommender Systems: A Position Bias Perspective.

Tianhui Ma, Yuan Cheng, Zhi Zheng, Hengshu Zhu, Hui Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2025

LLM-Eraser: Optimizing Large Language Model Unlearning through Selective Pruning.

Shengming Zhang, Le Zhang, Jingbo Zhou, Zhi Zheng, Hui Xiong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Enhancing Long-Tail Bundle Recommendations Utilizing Composition Pattern Modeling.

Tianhui Ma, Shuyao Wang, Zhi Zheng, Hui Xiong

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Think and Recall: Layer-Level Prompting for Lifelong Model Editing.

Jinke Wang, Zenan Ying, Qi Liu, Wei Chen, Tong Xu, Huijun Hou, Zhi Zheng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Following Occam's Razor: Dynamic Combination of Structured Knowledge for Multi-Hop Question Answering using LLMs.

Wei Chen, Zhi Zheng, Lili Zhao, Huijun Hou, Tong Xu

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

MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval.

Tong Bao, Che Liu, Derong Xu, Zhi Zheng, Tong Xu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models.

Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu

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

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation.

Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Multi-Branch Self-Drafting for LLM Inference Acceleration.

Zipeng Gao, Qingrong Xia, Tong Xu, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation.

Yuyang Ye, Zhi Zheng, Yishan Shen, Tianshu Wang, Hengruo Zhang, Peijun Zhu, Runlong Yu, Kai Zhang, Hui Xiong

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Bilateral Multi-Behavior Modeling for Reciprocal Recommendation in Online Recruitment.

Zhi Zheng, Xiao Hu, Zhaopeng Qiu, Yuan Cheng, Shanshan Gao, Yang Song, Hengshu Zhu, Hui Xiong

IEEE Trans. Knowl. Data Eng., November, 2024

A survey on large language models for recommendation.

Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen

World Wide Web (WWW), September, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.

Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen

CoRR, 2024

DynLLM: When Large Language Models Meet Dynamic Graph Recommendation.

Ziwei Zhao, Fake Lin, Xi Zhu, Zhi Zheng, Tong Xu, Shitian Shen, Xueying Li, Zikai Yin, Enhong Chen

CoRR, 2024

Harnessing Large Language Models for Text-Rich Sequential Recommendation.

Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong

Proceedings of the ACM on Web Conference 2024, 2024

Dynamic Sparse Learning: A Novel Paradigm for Efficient Recommendation.

Shuyao Wang, Yongduo Sui, Jiancan Wu, Zhi Zheng, Hui Xiong

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Enhancing Complex Question Answering via LLM Pseudo-Document and Adaptive Retrieval.

Jin Zhou, Zhi Zheng, Yuanjie Lyu, Tong Xu

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment.

Zhi Zheng, Xiao Hu, Shanshan Gao, Hengshu Zhu, Hui Xiong

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding.

Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Make Large Language Model a Better Ranker.

Wenshuo Chao, Zhi Zheng, Hengshu Zhu, Hao Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition.

Wei Chen, Lili Zhao, Zhi Zheng, Tong Xu, Yang Wang, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.

Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction.

Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Modal Complementarity Based on Multimodal Large Language Model for Text-Based Person Retrieval.

Tong Bao, Tong Xu, Derong Xu, Zhi Zheng

Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations.

Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction.

Wenshuo Chao, Zhaopeng Qiu, Likang Wu, Zhuoning Guo, Zhi Zheng, Hengshu Zhu, Hao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Interaction-aware Drug Package Recommendation via Policy Gradient.

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen

ACM Trans. Inf. Syst., January, 2023

Generative Job Recommendations with Large Language Model.

Zhi Zheng, Zhaopeng Qiu, Xiao Hu, Likang Wu, Hengshu Zhu, Hui Xiong

CoRR, 2023

Generative Learning Plan Recommendation for Employees: A Performance-aware Reinforcement Learning Approach.

Zhi Zheng, Ying Sun, Xin Song, Hengshu Zhu, Hui Xiong

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

Doctor Specific Tag Recommendation for Online Medical Record Management.

Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BOSS: A Bilateral Occupational-Suitability-Aware Recommender System for Online Recruitment.

Xiao Hu, Yuan Cheng, Zhi Zheng, Yue Wang, Xinxin Chi, Hengshu Zhu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱.

Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

DDR: Dialogue Based Doctor Recommendation for Online Medical Service.

Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network.

Cong Wang, Zhi Zheng, Tong Xu, Zikai Yin, Enhong Chen

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

Drug Package Recommendation via Interaction-aware Graph Induction.

Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen

Proceedings of the WWW '21: The Web Conference 2021, 2021