Zihan Wang

According to our database, Zihan Wang authored at least 18 papers between 2018 and 2025.

Collaborative distances:

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

2025

Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction.

Zihan Wang, Hanbing Wang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

ACM Trans. Inf. Syst., May, 2025

Cognitive Debiasing Large Language Models for Decision-Making.

Yougang Lyu, Shijie Ren, Yue Feng, Zihan Wang, Zhumin Chen, Zhaochun Ren, Maarten de Rijke

CoRR, April, 2025

A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition.

Zihan Wang, Ziqi Zhao, Yougang Lyu, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

Proceedings of the ACM on Web Conference 2025, 2025

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure.

Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization.

Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.

Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin

CoRR, 2024

R³AG: First Workshop on Refined and Reliable Retrieval Augmented Generation.

Zihan Wang, Xuri Ge, Joemon M. Jose, Haitao Yu, Weizhi Ma, Zhaochun Ren, Xin Xin

Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, 2024

2023

Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features.

Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning.

Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations.

Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Improving legal judgment prediction through reinforced criminal element extraction.

Yougang Lyu, Zihan Wang, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Yujun Li, Hongsong Li, Hongye Song

Inf. Process. Manag., 2022

Debiasing Learning for Membership Inference Attacks Against Recommender Systems.

Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren

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

2021

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network.

Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke

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

Membership Inference Attacks Against Recommender Systems.

Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

VN Network: Embedding Newly Emerging Entities with Virtual Neighbors.

Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Variational Random Function Model for Network Modeling.

Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville

IEEE Trans. Neural Networks Learn. Syst., 2019

Robust Embedding with Multi-Level Structures for Link Prediction.

Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.

Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018