ICML 2025

3,330 papers

MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents

Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang

Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing

Ke Zhu, Shu Yang, Xiaofei Wang

Gradient Aligned Regression via Pairwise Losses

Dixian Zhu, Tianbao Yang, Livnat Jerby

Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models

Congcong Zhu, Xiaoyan Xu, Jiayue Han, Jingrun Chen

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization

Kangyu Zhu, Peng Xia, Yun Li, Hongtu Zhu, Sheng wang

SE(3)-Equivariant Diffusion Policy in Spherical Fourier Space

Xupeng Zhu, Fan Wang, Robin Walters, Jane Shi

Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding

Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li

Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation

Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li

Neural Representational Consistency Emerges from Probabilistic Neural-Behavioral Representation Alignment

Yu Zhu, Chunfeng Song, Wanli Ouyang, Shan Yu, Tiejun Huang

How Effective Can Dropout Be in Multiple Instance Learning ?

Wenhui Zhu, Peijie Qiu, Xiwen Chen, Zhangsihao Yang, Aristeidis Sotiras

On the Power of Context-Enhanced Learning in LLMs

Xingyu Zhu, Abhishek Panigrahi, Sanjeev Arora

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control

Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu

EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams

Lin Zhu, Xiantao Ma, Xiao Wang, Lizhi Wang, Hua Huang

Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation

Tingyu Zhu, Haoyu Liu, Ziyu Wang, Zhimin Jiang, Zeyu Zheng

Balancing Interference and Correlation in Spatial Experimental Designs: A Causal Graph Cut Approach

Jin Zhu, Jingyi Li, Hongyi Zhou, Yinan Lin, Zhenhua Lin

The Case for Learned Provenance-based System Behavior Baseline

Yao Zhu, Zhenyuan Li, Yangyang Wei, Shouling Ji

Introducing 3D Representation for Dense Volume-to-Volume Translation via Score Fusion

Xiyue Zhu, Dou Hoon Kwark, Ruike Zhu, Kaiwen Hong, Yiqi Tao

CVE-Bench: A Benchmark for AI Agents’ Ability to Exploit Real-World Web Application Vulnerabilities

Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta

CPCF: A Cross-Prompt Contrastive Framework for Referring Multimodal Large Language Models

Lanyun Zhu, Deyi Ji, Tianrun Chen, Haiyang Wu, De Wen Soh

SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning

Junyou Zhu, Langzhou He, Chao Gao, Dongpeng Hou, Zhen Su

When Can Proxies Improve the Sample Complexity of Preference Learning?

Yuchen Zhu, Daniel Augusto de Souza, Zhengyan Shi, Mengyue Yang, Pasquale Minervini

Doubly Robust Fusion of Many Treatments for Policy Learning

Ke Zhu, Jianing Chu, Ilya Lipkovich, Wenyu Ye, Shu Yang

How to Synthesize Text Data without Model Collapse?

Xuekai Zhu, Daixuan Cheng, Hengli Li, Kaiyan Zhang, Ermo Hua

TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization

Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao

In-Context Adaptation to Concept Drift for Learned Database Operations

Jiaqi Zhu, Shaofeng Cai, Yanyan Shen, Gang Chen, Fang Deng

Independence Tests for Language Models

Sally Zhu, Ahmed M Ahmed, Rohith Kuditipudi, Percy Liang

Stay Hungry, Keep Learning: Sustainable Plasticity for Deep Reinforcement Learning

Huaicheng Zhou, Zifeng Zhuang, Donglin Wang

Flexible, Efficient, and Stable Adversarial Attacks on Machine Unlearning

Zihan Zhou, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Da Yan

LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits

Zikai Zhou, Qizheng Zhang, Hermann Kumbong, Kunle Olukotun

H-Tuning: Toward Low-Cost and Efficient ECG-based Cardiovascular Disease Detection with Pre-Trained Models

Rushuang Zhou, Yuanting Zhang, Yining Dong

CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning

Hongtu Zhou, Ruiling Yang, Yakun Zhu, Haoqi Zhao, Hai Zhang

Proposer-Agent-Evaluator (PAE): Autonomous Skill Discovery For Foundation Model Internet Agents

Yifei Zhou, Qianlan Yang, Kaixiang Lin, Min Bai, Xiong Zhou

Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset

Hao Zhou, Xu Yang, Mingyu Fan, Lu Qi, Xiangtai Li

Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators

Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty

DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang

Square$χ$PO: Differentially Private and Robust $χ^2$-Preference Optimization in Offline Direct Alignment

Xingyu Zhou, Yulian Wu, Wenqian Weng, Francesco Orabona

A Unified Theoretical Analysis of Private and Robust Offline Alignment: from RLHF to DPO

Xingyu Zhou, Yulian Wu, Francesco Orabona

Weakly-Supervised Contrastive Learning for Imprecise Class Labels

Zi-Hao Zhou, Jun-Jie Wang, Tong Wei, Min-ling Zhang

Programming Every Example: Lifting Pre-training Data Quality Like Experts at Scale

Fan Zhou, Zengzhi Wang, Qian Liu, Junlong Li, Pengfei Liu

Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision

Qi Zhou, Dongxia Wang, Tianlin Li, Yun Lin, Yang Liu

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko

Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models

Huanjian Zhou, Masashi Sugiyama

Energy-Based Flow Matching for Generating 3D Molecular Structure

Wenyin Zhou, Christopher Iliffe Sprague, Vsevolod Viliuga, Matteo Tadiello, Arne Elofsson

Accelerating Unbiased LLM Evaluation via Synthetic Feedback

Zhaoyi Zhou, Yuda Song, Andrea Zanette

KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks

Quan Zhou, Changhua Pei, Fei Sun, Han Jing, Zhengwei Gao

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Gaoyue Zhou, Hengkai Pan, Yann LeCun, Lerrel Pinto

Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting

Hongbi Zhou, Zhangkai Ni

Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers

Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang, Mingsheng Long

Learning Efficient Robotic Garment Manipulation with Standardization

Changshi Zhou, Feng Luan, Jiarui Hu, Shaoqiang Meng, Zhipeng Wang

Efficient and Separate Authentication Image Steganography Network

Junchao Zhou, Yao Lu, Jie Wen, Guangming Lu

Robust Multi-Agent Reinforcement Learning with Stochastic Adversary

Ziyuan Zhou, Guanjun Liu, Mengchu Zhou, Weiran Guo

Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving

Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang

GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?

Yang Zhou, Hongyi Liu, Zhuoming Chen, Yuandong Tian, Beidi Chen

An Error Analysis of Flow Matching for Deep Generative Modeling

Zhengyu Zhou, Weiwei Liu

BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing

Yuhua Zhou, Ruifeng Li, Changhai Zhou, Fei Yang, Aimin Pan

FloE: On-the-Fly MoE Inference on Memory-constrained GPU

Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling

Xiangxin Zhou, Mingyu Li, Yi Xiao, Jiahan Li, Dongyu Xue

Contrastive Visual Data Augmentation

Yu Zhou, Bingxuan Li, Tang Mohan, Xiaomeng Jin, Te-Lin Wu

TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes

Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo, Walter Zimmer, Mingyu Liu

Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation

Hongyi Zhou, Josiah P. Hanna, Jin Zhu, Ying Yang, Chengchun Shi

From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?

Zhanke Zhou, Xiao Feng, Zhaocheng Zhu, Jiangchao Yao, Sanmi Koyejo

ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck

Zheng Zhou, Wenquan Feng, Qiaosheng Zhang, Shuchang Lyu, Qi Zhao

Inductive Moment Matching

Linqi Zhou, Stefano Ermon, Jiaming Song

Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference

Jixian Zhou, Fang Dong, Ruijun Huang, Hengjie Cao, Mengyi Chen

TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

Ziang Zhou, Zhihao Ding, Jieming SHI, Li Qing, Shiqi Shen

Implicit Subgraph Neural Network

YONGJIAN ZHONG, Liao Zhu, Hieu Vu, Bijaya Adhikari

Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator

Junmin Zhong, Emiliano Quinones Yumbla, Seyed Yousef Soltanian, Ruofan Wu, Wenlong Zhang

BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning

Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu

Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images

Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang

Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank

Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu

DPO Meets PPO: Reinforced Token Optimization for RLHF

Han Zhong, Zikang Shan, Guhao Feng, Wei Xiong, Xinle Cheng

Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Siru Zhong, Weilin Ruan, Ming Jin, Huan Li, Qingsong Wen

NeuronTune: Towards Self-Guided Spurious Bias Mitigation

Guangtao Zheng, Wenqian Ye, Aidong Zhang

Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation

Bowen Zheng, Tianming Yang

ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models

Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu

Nonparametric Identification of Latent Concepts

Yujia Zheng, Shaoan Xie, Kun Zhang

Monte Carlo Tree Search for Comprehensive Exploration in LLM-Based Automatic Heuristic Design

Zhi Zheng, Zhuoliang Xie, Zhenkun Wang, Bryan Hooi

Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation

Laura Yu Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar

Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making

Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du

Learning Dynamics under Environmental Constraints via Measurement-Induced Bundle Structures

Dongzhe Zheng, Wenjie Mei

Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph

Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui

MCU: An Evaluation Framework for Open-Ended Game Agents

Xinyue Zheng, Haowei Lin, Kaichen He, Zihao Wang, Qiang Fu

Hierarchical Masked Autoregressive Models with Low-Resolution Token Pivots

Guangting Zheng, Yehao Li, Yingwei Pan, Jiajun Deng, Ting Yao

Integrating Intermediate Layer Optimization and Projected Gradient Descent for Solving Inverse Problems with Diffusion Models

Yang Zheng, Wen Li, Zhaoqiang Liu

Deep Electromagnetic Structure Design Under Limited Evaluation Budgets

Shijian Zheng, Fangxiao Jin, Shuhai Zhang, Quan Xue, Mingkui Tan

Test-Time Graph Neural Dataset Search With Generative Projection

Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan

Bridging Protein Sequences and Microscopy Images with Unified Diffusion Models

Dihan Zheng, Bo Huang

Towards Attributions of Input Variables in a Coalition

Xinhao Zheng, Huiqi Deng, Quanshi Zhang

Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?

Wendong Zheng, Junyang Chen, Husheng Guo, Wenjian Wang

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator

Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu

Model Immunization from a Condition Number Perspective

Amber Yijia Zheng, Site Bai, Brian Bullins, Raymond A. Yeh

Erwin: A Tree-based Hierarchical Transformer for Large-scale Physical Systems

Maksim Zhdanov, Max Welling, Jan-Willem van de Meent

Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes

Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju

Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks

Jialin Zhao, Yingtao Zhang, Xinghang Li, Huaping Liu, Carlo Vittorio Cannistraci

Rethink the Role of Deep Learning towards Large-scale Quantum Systems

Yusheng Zhao, Chi Zhang, Yuxuan Du

Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models

Jialin Zhao, Yingtao Zhang, Carlo Vittorio Cannistraci

GANQ: GPU-Adaptive Non-Uniform Quantization for Large Language Models

Pengxiang Zhao, Xiaoming Yuan

Understanding Synthetic Context Extension via Retrieval Heads

Xinyu Zhao, Fangcong Yin, Greg Durrett

Logarithmic Regret for Online KL-Regularized Reinforcement Learning

Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang

SkipGPT: Each Token is One of a Kind

Anhao Zhao, Fanghua Ye, Yingqi Fan, Junlong Tong, Jing Xiong