Haomin Zhuang - RankMe

22 papers A* 3B 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Emergent Social Intelligence Risks in Generative Multi-Agent Systems. CoRR Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V. Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang
2025	—	`conf`	Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. ACL (Findings) Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
2025	J	`jnl`	Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis. CoRR Yicheng Lang, Kehan Guo, Yue Huang, Yujun Zhou, Haomin Zhuang, Tianyu Yang, Yao Su, Xiangliang Zhang
2025	J	`jnl`	ChemOrch: Empowering LLMs with Chemical Intelligence via Synthetic Instructions. CoRR Yue Huang, Zhengzhe Jiang, Xiaonan Luo, Kehan Guo, Haomin Zhuang, Yujun Zhou, Zhengqing Yuan, Xiaoqi Sun, Jules Schleinitz, Yanbo Wang, Shuhao Zhang, Mihir Surve, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2025	—	`conf`	Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. EMNLP (Findings) Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
2025	J	`jnl`	Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study. CoRR Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
2025	J	`jnl`	Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVR. CoRR Haomin Zhuang, Yujun Zhou, Taicheng Guo, Yue Huang, Fangxu Liu, Kai Song, Xiangliang Zhang
2025	—	`conf`	Leveraging Hybrid Representations for Robust Molecular Property Prediction in Low-Data Regimes. ICDM (Workshops) Alex Liu, Haomin Zhuang, Olaf Wiest, Ying Cheng, Xiangliang Zhang
2025	B	`conf`	Quasiparticle Interference Kernel Extraction with Variational Autoencoders via Latent Alignment. IEEE Big Data Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang
2025	—	`conf`	SEUF: Is Unlearning One Expert Enough for Mixture-of-Experts LLMs? ACL (1) Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang
2025	J	`jnl`	Seeing the Invisible: Machine learning-Based QPI Kernel Extraction via Latent Alignment. CoRR Yingshuai Ji, Haomin Zhuang, Matthew Toole, James McKenzie, Xiaolong Liu, Xiangliang Zhang
2025	J	`jnl`	SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models. CoRR Zixiang Xu, Yanbo Wang, Yue Huang, Jiayi Ye, Haomin Zhuang, Zirui Song, Lang Gao, Chenxi Wang, Zhaorun Chen, Yujun Zhou, Sixian Li, Wang Pan, Yue Zhao, Jieyu Zhao, Xiangliang Zhang, Xiuying Chen
2024	A*	`conf`	Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data. ICML Yujun Zhou, Yufei Han, Haomin Zhuang, Hongyan Bao, Xiangliang Zhang
2024	A*	`conf`	Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. ICLR Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan
2024	A*	`conf`	Defending Jailbreak Prompts via In-Context Adversarial Game. EMNLP Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
2024	J	`jnl`	Defending Jailbreak Prompts via In-Context Adversarial Game. CoRR Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
2024	J	`jnl`	Social Science Meets LLMs: How Reliable Are Large Language Models in Social Simulations? CoRR Yue Huang, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Xiangqi Wang, Haomin Zhuang, Weixiang Sun, Lichao Sun, Jindong Wang, Yanfang Ye, Xiangliang Zhang
2024	J	`jnl`	UOE: Unlearning One Expert Is Enough For Mixture-of-experts LLMS. CoRR Haomin Zhuang, Yihua Zhang, Kehan Guo, Jinghan Jia, Gaowen Liu, Sijia Liu, Xiangliang Zhang
2023	J	`jnl`	A Comparison of Image Denoising Methods. CoRR Zhaoming Kong, Fangxi Deng, Haomin Zhuang, Xiaowei Yang, Jun Yu, Lifang He
2023	—	`conf`	A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CVPR Workshops Haomin Zhuang, Yihua Zhang, Sijia Liu
2023	J	`jnl`	A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion. CoRR Haomin Zhuang, Yihua Zhang, Sijia Liu
2023	J	`jnl`	Backdoor Federated Learning by Poisoning Backdoor-Critical Layers. CoRR Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li, Xu Yuan