Zhiwei Zhang - RankMe

28 papers A* 4A 1Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. CoRR Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang
2026	—	`conf`	Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. EACL (Volume 1: Long Papers) Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2026	J	`jnl`	MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. CoRR Minhua Lin, Zhiwei Zhang, Hanqing Lu, Hui Liu, Xianfeng Tang, Qi He, Xiang Zhang, Suhang Wang
2026	J	`jnl`	Position: Agentic Evolution is the Path to Evolving LLMs. CoRR Minhua Lin, Hanqing Lu, Zhan Shi, Bing He, Rui Mao, Zhiwei Zhang, Zongyu Wu, Xianfeng Tang, Hui Liu, Zhenwei Dai, Xiang Zhang, Suhang Wang, Benoît Dumoulin, Jian Pei
2026	A	`conf`	Unlearning Inversion Attacks for Graph Neural Networks. WSDM Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. ACM Trans. Intell. Syst. Technol. Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2025	J	`jnl`	AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. CoRR Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang
2025	—	`conf`	Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. KDD (2) Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. CoRR Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Zheng Li, Chen Luo, Xianfeng Tang, Qi He, Suhang Wang
2025	A*	`conf`	Catastrophic Failure of LLM Unlearning via Quantization. ICLR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025	—	`conf`	GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs. EMNLP (Findings) Ali Al-Lawati, Jason Lucas, Zhiwei Zhang, Prasenjit Mitra, Suhang Wang
2025	J	`jnl`	Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. CoRR Fali Wang, Jihai Chen, Shuhua Yang, Runxue Bao, Tianxiang Zhao, Zhiwei Zhang, Xianfeng Tang, Hui Liu, Qi He, Suhang Wang
2025	J	`jnl`	Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints. CoRR Ali Al-Lawati, Jason Lucas, Zhiwei Zhang, Prasenjit Mitra, Suhang Wang
2025	J	`jnl`	Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. CoRR Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2025	J	`jnl`	LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. CoRR Zongyu Wu, Yuwei Niu, Hongcheng Gao, Minhua Lin, Zhiwei Zhang, Zhifang Zhang, Qi Shi, Yilong Wang, Sike Fu, Junjie Xu, Junjie Ao, Enyan Dai, Lei Feng, Xiang Zhang, Suhang Wang
2025	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. SIGKDD Explor. Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2025	A*	`conf`	Robustness Inspired Graph Backdoor Defense. ICLR Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2025	J	`jnl`	Unlearning Inversion Attacks for Graph Neural Networks. CoRR Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025	J	`jnl`	Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. CoRR Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang
2024	J	`jnl`	A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. CoRR Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
2024	J	`jnl`	Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. CoRR Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2024	A*	`conf`	Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. ICML Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024	J	`jnl`	Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma
2024	A*	`conf`	Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. KDD Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024	J	`jnl`	Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. CoRR Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024	J	`jnl`	Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. CoRR Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2024	J	`jnl`	Trojan Prompt Attacks on Graph Neural Networks. CoRR Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2023	J	`jnl`	Fairness-aware Message Passing for Graph Neural Networks. CoRR Huaisheng Zhu, Guoji Fu, Zhimeng Guo, Zhiwei Zhang, Teng Xiao, Suhang Wang