Minhao Cheng - RankMe

101 papers A* 32A 2Journal 54Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CARV: A Diagnostic Benchmark for Compositional Analogical Reasoning in Multimodal LLMs. CoRR Yongkang Du, Xiaohan Zou, Minhao Cheng, Lu Lin
2026	J	`jnl`	Deconstructing Multimodal Mathematical Reasoning: Towards a Unified Perception-Alignment-Reasoning Paradigm. CoRR Tianyu Yang, Sihong Wu, Yilun Zhao, Zhenwen Liang, Lisen Dai, Chen Zhao, Minhao Cheng, Arman Cohan, Xiangliang Zhang
2026	J	`jnl`	Empowering Reliable Visual-Centric Instruction Following in MLLMs. CoRR Weilei He, Feng Ju, Zhiyuan Fan, Rui Min, Minhao Cheng, Yi R. Fung
2025	—	`conf`	CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP. ACL (1) Tianyu Yang, Lisen Dai, Xiangqi Wang, Minhao Cheng, Yapeng Tian, Xiangliang Zhang
2025	J	`jnl`	Defense Against Syntactic Textual Backdoor Attacks With Token Substitution. IEEE Trans. Inf. Forensics Secur. Xianwen He, Xinglin Li, Yao Li, Minhao Cheng
2025	J	`jnl`	Exploring Expert Failures Improves LLM Agent Tuning. CoRR Li-Cheng Lan, Andrew Bai, Minhao Cheng, Cho-Jui Hsieh, Tianyi Zhou
2025	A*	`conf`	Improving Your Model Ranking on Chatbot Arena by Vote Rigging. ICML Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin
2025	J	`jnl`	Improving Your Model Ranking on Chatbot Arena by Vote Rigging. CoRR Rui Min, Tianyu Pang, Chao Du, Qian Liu, Minhao Cheng, Min Lin
2025	—	`conf`	Input Snapshots Fusion for Scalable Discrete-Time Dynamic Graph Neural Networks. KDD (1) QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu
2025	A*	`conf`	Is Your Multimodal Language Model Oversensitive to Safe Queries? ICLR Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
2025	A*	`conf`	LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs - No Silver Bullet for LC or RAG Routing. ICML Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng
2025	J	`jnl`	LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs - No Silver Bullet for LC or RAG Routing. CoRR Kuan Li, Liwen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Shuai Wang, Minhao Cheng
2025	J	`jnl`	Leveraging Reasoning with Guidelines to Elicit and Utilize Knowledge for Enhancing Safety Alignment. CoRR Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Minhao Cheng, Dacheng Tao
2025	J	`jnl`	Optimizing Token Choice for Code Watermarking: A RL Approach. CoRR Zhimeng Guo, Huaisheng Zhu, Siyuan Xu, Hangfan Zhang, Teng Xiao, Minhao Cheng
2025	J	`jnl`	PISanitizer: Preventing Prompt Injection to Long-Context LLMs via Prompt Sanitization. CoRR Runpeng Geng, Yanting Wang, Chenlong Yin, Minhao Cheng, Ying Chen, Jinyuan Jia
2025	J	`jnl`	POME: Post Optimization Model Edit via Muon-style Projection. CoRR Yong Liu, Di Fu, Yang Luo, Zirui Zhu, Minhao Cheng, Cho-Jui Hsieh, Yang You
2025	J	`jnl`	R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model. CoRR Hengguang Zhou, Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
2025	J	`jnl`	ReSum: Unlocking Long-Horizon Search Intelligence via Context Summarization. CoRR Xixi Wu, Kuan Li, Yida Zhao, Liwen Zhang, Litu Ou, Huifeng Yin, Zhongwang Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Minhao Cheng, Shuai Wang, Hong Cheng, Jingren Zhou
2025	A*	`conf`	Safety Reasoning with Guidelines. ICML Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao, Minhao Cheng
2025	J	`jnl`	Scaling Laws of Synthetic Data for Language Models. CoRR Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
2025	A*	`conf`	SeedLoRA: A Fusion Approach to Efficient LLM Fine-Tuning. ICML Yong Liu, Di Fu, Shenggan Cheng, Zirui Zhu, Yang Luo, Minhao Cheng, Cho-Jui Hsieh, Yang You
2025	J	`jnl`	TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization. CoRR Yanting Wang, Runpeng Geng, Jinghui Chen, Minhao Cheng, Jinyuan Jia
2025	A*	`conf`	The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. ICLR Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
2024	—	`conf`	A Watermark-Conditioned Diffusion Model for IP Protection. ECCV (69) Rui Min, Sen Li, Hongyang Chen, Minhao Cheng
2024	J	`jnl`	A Watermark-Conditioned Diffusion Model for IP Protection. CoRR Rui Min, Sen Li, Hongyang Chen, Minhao Cheng
2024	A*	`conf`	Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. ICLR Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng, Xiang Ao
2024	J	`jnl`	Defense Against Syntactic Textual Backdoor Attacks with Token Substitution. CoRR Xinglin Li, Xianwen He, Yao Li, Minhao Cheng
2024	J	`jnl`	DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers. CoRR Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
2024	—	`conf`	DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLMs Jailbreakers. EMNLP (Findings) Xirui Li, Ruochen Wang, Minhao Cheng, Tianyi Zhou, Cho-Jui Hsieh
2024	A	`conf`	Exploring Robustness of GNN against Universal Injection Attack from a Worst-case Perspective. CIKM Dandan Ni, Sheng Zhang, Cong Deng, Han Liu, Gang Chen, Minhao Cheng, Hongyang Chen
2024	—	`conf`	GuardEmb: Dynamic Watermark for Safeguarding Large Language Model Embedding Service Against Model Stealing Attack. EMNLP (Findings) Liaoyaqi Wang, Minhao Cheng
2024	J	`jnl`	Input Snapshots Fusion for Scalable Discrete Dynamic Graph Nerual Networks. CoRR QingGuo Qi, Hongyang Chen, Minhao Cheng, Han Liu
2024	J	`jnl`	Invisible Backdoor Attacks on Diffusion Models. CoRR Sen Li, Junchi Ma, Minhao Cheng
2024	J	`jnl`	MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries? CoRR Xirui Li, Hengguang Zhou, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Cho-Jui Hsieh
2024	J	`jnl`	MuLan: Multimodal-LLM Agent for Progressive Multi-Object Diffusion. CoRR Sen Li, Ruochen Wang, Cho-Jui Hsieh, Minhao Cheng, Tianyi Zhou
2024	A*	`conf`	One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. ICML Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
2024	J	`jnl`	One Prompt is not Enough: Automated Construction of a Mixture-of-Expert Prompts. CoRR Ruochen Wang, Sohyun An, Minhao Cheng, Tianyi Zhou, Sung Ju Hwang, Cho-Jui Hsieh
2024	J	`jnl`	Sparse MeZO: Less Parameters for Better Performance in Zeroth-Order LLM Fine-Tuning. CoRR Yong Liu, Zirui Zhu, Chaoyu Gong, Minhao Cheng, Cho-Jui Hsieh, Yang You
2024	J	`jnl`	The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noise. CoRR Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Boqing Gong, Cho-Jui Hsieh, Minhao Cheng
2024	J	`jnl`	Trusted Aggregation (TAG): Backdoor Defense in Federated Learning. Trans. Mach. Learn. Res. Joseph Lavond, Minhao Cheng, Yao Li
2024	A*	`conf`	Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense. NeurIPS Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
2024	J	`jnl`	Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense. CoRR Rui Min, Zeyu Qin, Nevin L. Zhang, Li Shen, Minhao Cheng
2024	—	`conf`	Understanding the Impact of Negative Prompts: When and How Do They Take Effect? ECCV (89) Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
2024	J	`jnl`	Understanding the Impact of Negative Prompts: When and How Do They Take Effect? CoRR Yuanhao Ban, Ruochen Wang, Tianyi Zhou, Minhao Cheng, Boqing Gong, Cho-Jui Hsieh
2024	A*	`conf`	Unsupervised Heterogeneous Graph Rewriting Attack via Node Clustering. KDD Haosen Wang, Can Xu, Chenglong Shi, Pengfei Zheng, Shiming Zhang, Minhao Cheng, Hongyang Chen
2024	A*	`conf`	Where Am I From? Identifying Origin of LLM-generated Content. EMNLP Liying Li, Yihan Bai, Minhao Cheng
2023	J	`jnl`	Backdoor Attack against Object Detection with Clean Annotation. CoRR Yize Cheng, Wenbin Hu, Minhao Cheng
2023	J	`jnl`	Backdoor Learning on Sequence to Sequence Models. CoRR Lichang Chen, Minhao Cheng, Heng Huang
2023	A*	`conf`	Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation. CVPR Bo Huang, Mingyang Chen, Yi Wang, Junda Lu, Minhao Cheng, Wei Wang
2023	J	`jnl`	CurvAGN: Curvature-based Adaptive Graph Neural Networks for Predicting Protein-Ligand Binding Affinity. BMC Bioinform. Jianqiu Wu, Hongyang Chen, Minhao Cheng, Haoyi Xiong
2023	J	`jnl`	Dataset Distillation via Adversarial Prediction Matching. CoRR Mingyang Chen, Bo Huang, Junda Lu, Bing Li, Yi Wang, Minhao Cheng, Wei Wang
2023	A*	`conf`	FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CVPR Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh
2023	A*	`conf`	Identification of the Adversary from a Single Adversarial Example. ICML Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen
2023	A*	`conf`	PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. EMNLP Lichang Chen, Jiuhai Chen, Heng Huang, Minhao Cheng
2023	J	`jnl`	PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer. CoRR Lichang Chen, Heng Huang, Minhao Cheng
2023	A*	`conf`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	J	`jnl`	Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
2023	A*	`conf`	Towards Stable Backdoor Purification through Feature Shift Tuning. NeurIPS Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
2023	J	`jnl`	Towards Stable Backdoor Purification through Feature Shift Tuning. CoRR Rui Min, Zeyu Qin, Li Shen, Minhao Cheng
2022	A*	`conf`	CAT: Customized Adversarial Training for Improved Robustness. IJCAI Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh
2022	A*	`conf`	Concurrent Adversarial Learning for Large-Batch Training. ICLR Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
2022	A*	`conf`	Efficient Non-Parametric Optimizer Search for Diverse Tasks. NeurIPS Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
2022	J	`jnl`	Efficient Non-Parametric Optimizer Search for Diverse Tasks. CoRR Ruochen Wang, Yuanhao Xiong, Minhao Cheng, Cho-Jui Hsieh
2022	J	`jnl`	FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning. CoRR Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh
2022	J	`jnl`	Foreseeing private car transfer between urban regions with multiple graph-based generative adversarial networks. World Wide Web Chenxi Liu, Zhu Xiao, Dong Wang, Minhao Cheng, Hongyang Chen, Jiawei Cai
2022	—	`conf`	MSDT: Masked Language Model Scoring Defense in Text Domain. UV Jaechul Roh, Minhao Cheng, Yajun Fang
2022	J	`jnl`	MSDT: Masked Language Model Scoring Defense in Text Domain. CoRR Jaechul Roh, Minhao Cheng, Yajun Fang
2022	A*	`conf`	Random Sharpness-Aware Minimization. NeurIPS Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-Jui Hsieh, Yang You
2021	J	`jnl`	A Review of Adversarial Attack and Defense for Classification Methods. CoRR Yao Li, Minhao Cheng, Cho-Jui Hsieh, Thomas C. M. Lee
2021	J	`jnl`	Concurrent Adversarial Learning for Large-Batch Training. CoRR Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
2021	A*	`conf`	DrNAS: Dirichlet Neural Architecture Search. ICLR Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2021	—	`—`	On the Robustness of Neural Network: Attacks and Defenses. Minhao Cheng
2021	A*	`conf`	RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. ICCV Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2021	J	`jnl`	RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. CoRR Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2021	A*	`conf`	Rethinking Architecture Selection in Differentiable NAS. ICLR Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
2021	J	`jnl`	Rethinking Architecture Selection in Differentiable NAS. CoRR Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
2021	A*	`conf`	Self-Progressing Robust Training. AAAI Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
2020	J	`jnl`	CAT: Customized Adversarial Training for Improved Robustness. CoRR Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh
2020	J	`jnl`	DrNAS: Dirichlet Neural Architecture Search. CoRR Xiangning Chen, Ruochen Wang, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh
2020	A*	`conf`	Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples. ACL Xiaoqing Zheng, Jiehang Zeng, Yi Zhou, Cho-Jui Hsieh, Minhao Cheng, Xuanjing Huang
2020	J	`jnl`	Self-Progressing Robust Training. CoRR Minhao Cheng, Pin-Yu Chen, Sijia Liu, Shiyu Chang, Cho-Jui Hsieh, Payel Das
2020	A*	`conf`	Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. AAAI Minhao Cheng, Jinfeng Yi, Pin-Yu Chen, Huan Zhang, Cho-Jui Hsieh
2020	A*	`conf`	Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. ICLR Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
2020	J	`jnl`	Voting based ensemble improves robustness of defensive models. CoRR Devvrit, Minhao Cheng, Cho-Jui Hsieh, Inderjit S. Dhillon
2019	J	`jnl`	Enhancing Certifiable Robustness via a Deep Model Ensemble. CoRR Huan Zhang, Minhao Cheng, Cho-Jui Hsieh
2019	—	`conf`	Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent. NAACL-HLT (1) Minhao Cheng, Wei Wei, Cho-Jui Hsieh
2019	A	`conf`	Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization. SDM Huang Fang, Minhao Cheng, Cho-Jui Hsieh, Michael P. Friedlander
2019	J	`jnl`	Natural Adversarial Sentence Generation with Gradient-based Perturbation. CoRR Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
2019	—	`conf`	On the Robustness of Self-Attentive Models. ACL (1) Yu-Lun Hsieh, Minhao Cheng, Da-Cheng Juan, Wei Wei, Wen-Lian Hsu, Cho-Jui Hsieh
2019	—	`conf`	Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. ICLR (Poster) Minhao Cheng, Thong Le, Pin-Yu Chen, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh
2019	J	`jnl`	Sign-OPT: A Query-Efficient Hard-label Adversarial Attack. CoRR Minhao Cheng, Simranjit Singh, Patrick H. Chen, Pin-Yu Chen, Sijia Liu, Cho-Jui Hsieh
2018	A*	`conf`	Distributed Primal-Dual Optimization for Non-uniformly Distributed Data. IJCAI Minhao Cheng, Cho-Jui Hsieh
2018	A*	`conf`	Extreme Learning to Rank via Low Rank Assumption. ICML Minhao Cheng, Ian Davidson, Cho-Jui Hsieh
2018	A*	`conf`	Learning from Group Comparisons: Exploiting Higher Order Interactions. NeurIPS Yao Li, Minhao Cheng, Kevin Fujii, Fushing Hsieh, Cho-Jui Hsieh
2018	J	`jnl`	Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach. CoRR Minhao Cheng, Thong Le, Pin-Yu Chen, Jinfeng Yi, Huan Zhang, Cho-Jui Hsieh
2018	J	`jnl`	Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples. CoRR Minhao Cheng, Jinfeng Yi, Huan Zhang, Pin-Yu Chen, Cho-Jui Hsieh
2018	J	`jnl`	Stochastic Zeroth-order Optimization via Variance Reduction method. CoRR Liu Liu, Minhao Cheng, Cho-Jui Hsieh, Dacheng Tao
2018	—	`conf`	Towards Robust Neural Networks via Random Self-ensemble. ECCV (7) Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
2017	A*	`conf`	A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction. ICDM Huang Fang, Minhao Cheng, Cho-Jui Hsieh
2017	J	`jnl`	Towards Robust Neural Networks via Random Self-ensemble. CoRR Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh
2015	—	`conf`	Intelligent Mobile Framework Based on Swarm Computation. CIT/IUCC/DASC/PICom Xinzheng Niu, Dazhuang Su, Minhao Cheng