Short Bio
Hello! I am Zicheng Zhao (赵子成), a PhD student of computer science at Nanjing University of Science and Technology advised by Prof. Chen Gong, and Prof. Shirui Pan. My research interests mainly focus on the areas of artificial intelligence and data mining, especially for the knowledge graph, large language model, and graph neural network.
News
Paper Our paper “NeRS: Negative Relational Smoothing for Graph Contrastive Learning” has been accepted by Pattern Recognition (PR). Apr., 2026
Paper Our paper “G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge” has been accepted by ICLR 2026. Jan., 2026
Paper Our paper “Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning” has been accepted by AAAI 2026. Dec., 2025
Paper Our paper “Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion” has been accepted by Transactions on Intelligent Systems and Technology (TIST). Oct., 2025
Paper Our paper “GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation” has been accepted by NeurIPS 2025. Sep., 2025
Paper Our paper “CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate” has been accepted by ACL Findings 2025. May, 2025
Paper Our paper “Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models” has been accepted by ICML 2025. May, 2025
Paper Our paper “Graph Retrieval-Augmented LLM for Conversational Recommendation Systems” has been accepted by PAKDD 2025. Mar., 2025
Paper Our paper “Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach” has been accepted by ECML PKDD 2023. Jun., 2023
Contest Our team won the 3rd prize of Jittor AI competition! Jul., 2022
Publications
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NeRS: Negative Relational Smoothing for Graph Contrastive Learning.
Sheng Wan, Shougang Ren, Zicheng Zhao, Yan Zhu, Chen Gong.
Pattern Recognition (SCI-Q1).
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G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge.
Linhao Luo, Zicheng Zhao, Junnan Liu, Zhangchi Qiu, Junnan Dong, Serge Panev, Chen Gong, Thuy-Trang Vu, Gholamreza Haffari, Dinh Phung, Alan Wee-Chung Liew, Shirui Pan.
ICLR 2026 (CCF A).
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Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning.
Yiliu Sun, Zicheng Zhao, Yang Wei, Yanfang Zhang, Chen Gong.
AAAI 2026 (CCF A).
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GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation.
Linhao Luo*, Zicheng Zhao*, Gholamreza Haffari, Dinh Phung, Chen Gong, Shirui Pan.
NeurIPS 2025 (CCF A).
[Code&data]
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CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate.
Yiliu Sun, Zicheng Zhao, Sheng Wan, Chen Gong.
ACL Findings 2025 (CCF A).
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Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models.
Linhao Luo*, Zicheng Zhao*, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan.
ICML 2025 (CCF-A).
[Code&data]
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Graph Retrieval-Augmented LLM for Conversational Recommendation Systems.
Zhangchi Qiu, Linhao Luo, Zicheng Zhao, Shirui Pan, Alan Wee-Chung Liew.
PAKDD 2025 (CCF-C).
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Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion.
Zicheng Zhao*, Linhao Luo*, Shirui Pan, Chengqi Zhang, Chen Gong.
Transactions on Intelligent Systems and Technology (JCR-Q1).
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Towards Few-shot Inductive Link Prediction on Knowledge Graphs: A Relational Anonymous Walk-guided Neural Process Approach.
Zicheng Zhao*, Linhao Luo*, Shirui Pan, Quoc Viet Hung Nguyen, Chen Gong.
ECML PKDD 2023 (CCF-B).
[Code&data]
* indicates equal contribution.
Awards
- 3rd prize of Jittor AI competition
Academic Services
Journal Reviewer
- IEEE Transactions on Cybernetics (TCYB)
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
- Chinese Journal of Electronics (CJE)
- Knowledge and Information Systems (KIS)
- Neural Network (NN)
- Neural Processing Letters (NPL)
Conference Reviewer
- PAKDD-GLFM (workshop) 2025
- ACL 2025
- KDD 2025 Feb
- ICML 2025
- ICLR 2025
- NeurIPS 2024
- KDD 2024
- ACML 2024
- IEEE International Conference on Big Data (TBD)