Fairness-aware Message Passing for Graph Neural Networks. - Huaisheng Zhu; Guoji Fu; Zhimeng Guo; Zhiwei Zhang 028; Teng Xiao; Suhang Wang (CoRR, 2023)

Efficient Contrastive Learning for Fast and Accurate Inference on Graphs. - Teng Xiao; Huaisheng Zhu; Zhiwei Zhang 028; Zhimeng Guo; Charu C. Aggarwal; Suhang Wang; Vasant G. Honavar (ICML, 2024)

Rethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective. - Zhiwei Zhang 028; Minhua Lin; Enyan Dai; Suhang Wang (KDD, 2024)

Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks. - Zhiwei Zhang 028; Minhua Lin; Junjie Xu; Zongyu Wu 001; Enyan Dai; Suhang Wang (CoRR, 2024)

Trojan Prompt Attacks on Graph Neural Networks. - Minhua Lin; Zhiwei Zhang 028; Enyan Dai; Zongyu Wu 001; Yilong Wang 001; Xiang Zhang 001; Suhang Wang (CoRR, 2024)

Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge. - Zhiwei Zhang 028; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 031; Qi He 002; Wenpeng Yin 001; Suhang Wang (CoRR, 2024)

GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs. - Ali Al-Lawati; Jason Lucas; Zhiwei Zhang 028; Prasenjit Mitra 001; Suhang Wang (EMNLP (Findings), 2025)

Robustness Inspired Graph Backdoor Defense. - Zhiwei Zhang 028; Minhua Lin; Junjie Xu; Zongyu Wu 001; Enyan Dai; Suhang Wang (ICLR, 2025)

Catastrophic Failure of LLM Unlearning via Quantization. - Zhiwei Zhang 028; Fali Wang; Xiaomin Li; Zongyu Wu 001; Xianfeng Tang; Hui Liu 033; Qi He 002; Wenpeng Yin 001; Suhang Wang (ICLR, 2025)

Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks. - Minhua Lin; Zhiwei Zhang 028; Enyan Dai; Zongyu Wu 001; Yilong Wang 001; Xiang Zhang 001; Suhang Wang (KDD (2), 2025)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. - Fali Wang; Hui Liu 033; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang 028; Zongyu Wu 001; Chen Luo 003; Zhen Li; Xianfeng Tang; Qi He 002; Suhang Wang (NeurIPS, 2025)

Graph-based Molecular In-context Learning Grounded on Morgan Fingerprints. - Ali Al-Lawati; Jason Lucas; Zhiwei Zhang 028; Prasenjit Mitra 001; Suhang Wang (CoRR, 2025)

LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models. - Zongyu Wu 001; Yuwei Niu; Hongcheng Gao; Minhua Lin; Zhiwei Zhang 028; Zhifang Zhang; Qi Shi; Yilong Wang 001; Sike Fu; Junjie Xu; Junjie Ao; Enyan Dai; et al. (CoRR, 2025)

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary. - Zhiwei Zhang 028; Hui Liu 033; Xiaomin Li; Zhenwei Dai; Jingying Zeng; Fali Wang; Minhua Lin; Ramraj Chandradevan; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qi He 002; et al. (CoRR, 2025)

AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. - Fali Wang; Hui Liu 033; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang 028; Zongyu Wu 001; Chen Luo 003; Zheng Li 018; Xianfeng Tang; Qi He 002; Suhang Wang (CoRR, 2025)

Generalizing Test-time Compute-optimal Scaling as an Optimizable Graph. - Fali Wang; Jihai Chen; Shuhua Yang; Runxue Bao; Tianxiang Zhao 001; Zhiwei Zhang 028; Xianfeng Tang; Hui Liu 033; Qi He 002; Suhang Wang (CoRR, 2025)

Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation. - Zhiwei Zhang 028; Xiaomin Li; Yudi Lin; Hui Liu 033; Ramraj Chandradevan; Linlin Wu; Minhua Lin; Fali Wang; Xianfeng Tang; Qi He 002; Suhang Wang (CoRR, 2025)

Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. - Qian Ma 012; Hongliang Chi; Hengrui Zhang; Kay Liu; Zhiwei Zhang 028; Lu Cheng 001; Suhang Wang; Philip S. Yu; Yao Ma 001 (SIGKDD Explor., 2025)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness. - Fali Wang; Zhiwei Zhang 028; Xianren Zhang; Zongyu Wu 001; Tzuhao Mo; Qiuhao Lu; Wanjing Wang; Rui Li; Junjie Xu; Xianfeng Tang; Qi He 002; Yao Ma 001; et al. (ACM Trans. Intell. Syst. Technol., 2025)

Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models. - Zongyu Wu 001; Minhua Lin; Zhiwei Zhang 028; Fali Wang; Xianren Zhang; Xiang Zhang 001; Suhang Wang (EACL (Volume 1: Long Papers), 2026)

Unlearning Inversion Attacks for Graph Neural Networks. - Jiahao Zhang; Yilong Wang 001; Zhiwei Zhang 028; Xiaorui Liu; Suhang Wang (WSDM, 2026)

Position: Agentic Evolution is the Path to Evolving LLMs. - Minhua Lin; Hanqing Lu; Zhan Shi; Bing He 002; Rui Mao; Zhiwei Zhang 028; Zongyu Wu 001; Xianfeng Tang; Hui Liu 033; Zhenwei Dai; Xiang Zhang 001; Suhang Wang; et al. (CoRR, 2026)

How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use. - Minhua Lin; Enyan Dai; Hui Liu 033; Xianfeng Tang; Yuliang Yan; Zhenwei Dai; Jingying Zeng; Zhiwei Zhang 028; Fali Wang; Hongcheng Gao; Chen Luo 003; Xiang Zhang 001; et al. (CoRR, 2026)

MemMA: Coordinating the Memory Cycle through Multi-Agent Reasoning and In-Situ Self-Evolution. - Minhua Lin; Zhiwei Zhang 028; Hanqing Lu; Hui Liu 033; Xianfeng Tang; Qi He 002; Xiang Zhang 001; Suhang Wang (CoRR, 2026)

Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents. - Minhua Lin; Juncheng Wu; Zijun Wang; Zhan Shi; Yisi Sang; Bing He 002; Zewen Liu; Tianxin Wei; Zongyu Wu 001; Zhiwei Zhang 028; Dakuo Wang; Xiang Zhang 001; et al. (CoRR, 2026)