ICML 2025

3,330 papers

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

Rongzhe Wei, Mufei Li, Mohsen Ghassemi, Eleonora Kreacic, Yifan Li

Representation Surgery in Model Merging with Probabilistic Modeling

Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang

Identifying and Understanding Cross-Class Features in Adversarial Training

Zeming Wei, Steven Y. Guo, Yisen Wang

AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism

Zhepei Wei, Wei-Lin Chen, Xinyu Zhu, Yu Meng

Addressing Misspecification in Simulation-based Inference through Data-driven Calibration

Antoine Wehenkel, Juan L. Gamella, Ozan Sener, Jens Behrmann, Guillermo Sapiro

Prompt-based Depth Pruning of Large Language Models

Juyun Wee, Minjae Park, Jaeho Lee

TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack

Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen

Adaptive Elicitation of Latent Information Using Natural Language

Jimmy Wang, Thomas P Zollo, Richard Zemel, Hongseok Namkoong

Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning

Erchi Wang, Yuqing Zhu, Yu-Xiang Wang

COSDA: Counterfactual-based Susceptibility Risk Framework for Open-Set Domain Adaptation

Wenxu Wang, Rui Zhou, Jing Wang, Yun Zhou, Cheng Zhu

Learning Cascade Ranking as One Network

Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang, Yu Li

Scaling Large Motion Models with Million-Level Human Motions

Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Weishuai Zeng

N2GON: Neural Networks for Graph-of-Net with Position Awareness

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li

Equivalence is All: A Unified View for Self-supervised Graph Learning

Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang

Towards the Causal Complete Cause of Multi-Modal Representation Learning

Jingyao Wang, Siyu Zhao, Wenwen Qiang, Jiangmeng Li, Changwen Zheng

A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments

Yuchen Wang, Hongjue Zhao, Haohong Lin, Enze Xu, Lifang He

Rényi Neural Processes

Xuesong Wang, He Zhao, Edwin V. Bonilla

Stabilizing Sample Similarity in Representation via Mitigating Random Consistency

Jieting Wang, Zelong Zhang, Feijiang Li, Yuhua Qian, Xinyan Liang

A Theory for Conditional Generative Modeling on Multiple Data Sources

Rongzhen Wang, Yan Zhang, Chenyu Zheng, Chongxuan Li, Guoqiang Wu

Heavy-Tailed Linear Bandits: Huber Regression with One-Pass Update

Jing Wang, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

Demystifying Singular Defects in Large Language Models

Haoqi Wang, Tong Zhang, Mathieu Salzmann

Orient Anything: Learning Robust Object Orientation Estimation from Rendering 3D Models

Zehan Wang, Ziang Zhang, Tianyu Pang, Chao Du, Hengshuang Zhao

Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang

Beyond Message Passing: Neural Graph Pattern Machine

Zehong Wang, Zheyuan Zhang, Tianyi Ma, Nitesh V Chawla, Chuxu Zhang

Optimal Algorithm for Max-Min Fair Bandit

Zilong Wang, Zhiyao Zhang, Shuai Li

Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning

Changsheng Wang, Yihua Zhang, Jinghan Jia, Parikshit Ram, Dennis Wei

Improving Value Estimation Critically Enhances Vanilla Policy Gradient

Tao Wang, Ruipeng Zhang, Sicun Gao

M$^3$HF: Multi-agent Reinforcement Learning from Multi-phase Human Feedback of Mixed Quality

Ziyan Wang, Zhicheng Zhang, Fei Fang, Yali Du

FDGen: A Fairness-Aware Graph Generation Model

Zichong Wang, Wenbin Zhang

AutoAL: Automated Active Learning with Differentiable Query Strategy Search

Yifeng Wang, Xueying Zhan, Siyu Huang

Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity

Qiuhao Wang, Yuqi Zha, Chin Pang Ho, Marek Petrik

Fusing Reward and Dueling Feedback in Stochastic Bandits

Xuchuang Wang, Qirun Zeng, Jinhang Zuo, Xutong Liu, Mohammad Hajiesmaili

Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models

RUIYU WANG, Yu Yuan, Shizhao Sun, Jiang Bian

3D Question Answering via only 2D Vision-Language Models

Fengyun Wang, Sicheng Yu, Jiawei Wu, Jinhui Tang, Hanwang Zhang

FOUNDER: Grounding Foundation Models in World Models for Open-Ended Embodied Decision Making

Yucen Wang, Rui Yu, Shenghua Wan, Le Gan, De-Chuan Zhan

Scaling Laws in Patchification: An Image Is Worth 50,176 Tokens And More

Feng Wang, Yaodong Yu, Wei Shao, Yuyin Zhou, Alan Yuille

Efficiently Access Diffusion Fisher: Within the Outer Product Span Space

Fangyikang Wang, Hubery Yin, Shaobin Zhuang, Huminhao Zhu, Yinan Li

CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models

Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin

Revisiting Differentially Private Algorithms for Decentralized Online Learning

Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, Yuanyu Wan

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence

Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu

A Non-isotropic Time Series Diffusion Model with Moving Average Transitions

Chenxi Wang, Linxiao Yang, Zhixian Wang, Liang Sun, Yi Wang

Provable Zero-Shot Generalization in Offline Reinforcement Learning

Zhiyong Wang, chen yang, John C.S. Lui, Dongruo Zhou

A Near-Optimal Single-Loop Stochastic Algorithm for Convex Finite-Sum Coupled Compositional Optimization

Bokun Wang, Tianbao Yang

Enhancing Visual Localization with Cross-Domain Image Generation

Yuanze Wang, Yichao Yan, Shiming Song, Songchang Jin, Yilan Huang

From Token to Rhythm: A Multi-Scale Approach for ECG-Language Pretraining

Fuying Wang, Jiacheng Xu, Lequan Yu

Off-Policy Evaluation under Nonignorable Missing Data

Han Wang, Yang Xu, Wenbin Lu, Rui Song

Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs

Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Christopher A. Choquette-Choo

Improving Model Alignment Through Collective Intelligence of Open-Source Models

Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun

QuanONet: Quantum Neural Operator with Application to Differential Equation

Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan

Demonstration Selection for In-Context Learning via Reinforcement Learning

Xubin Wang, Jianfei Wu, Yuan Yichen, Deyu Cai, Mingzhe Li

Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning

Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li

Bridging Layout and RTL: Knowledge Distillation based Timing Prediction

Mingjun Wang, Yihan Wen, Bin Sun, Jianan Mu, Juan Li

Delay-DSGN: A Dynamic Spiking Graph Neural Network with Delay Mechanisms for Evolving Graph

Zhiqiang Wang, Jianghao Wen, Jianqing Liang

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training

Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E

CoSER: Coordinating LLM-Based Persona Simulation of Established Roles

Xintao Wang, Heng Wang, Yifei Zhang, Xinfeng Yuan, Rui Xu

Multi-Domain Graph Foundation Models: Robust Knowledge Transfer via Topology Alignment

Shuo Wang, Bokui Wang, Zhixiang Shen, Boyan Deng, Zhao Kang

Accelerating Large Language Model Reasoning via Speculative Search

Zhihai Wang, Jie Wang, Jilai Pan, Xilin Xia, Huiling Zhen

Hierarchical Reinforcement Learning with Uncertainty-Guided Diffusional Subgoals

Vivienne Huiling Wang, Tinghuai Wang, Joni Pajarinen

Neural Graph Matching Improves Retrieval Augmented Generation in Molecular Machine Learning

Runzhong Wang, Rui-Xi Wang, Mrunali Manjrekar, Connor W. Coley

Knowledge-Guided Wasserstein Distributionally Robust Optimization

Zitao Wang, Ziyuan Wang, Molei Liu, Nian Si

GRU: Mitigating the Trade-off between Unlearning and Retention for LLMs

Yue Wang, qizhou wang, Feng Liu, Wei Huang, Yali Du

CSG-ODE: ControlSynth Graph ODE For Modeling Complex Evolution of Dynamic Graphs

Zhiqiang Wang, Xiaoyi Wang, Jianqing Liang

BSemiFL: Semi-supervised Federated Learning via a Bayesian Approach

Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality

Ruhan Wang, Zhiyong Wang, Chengkai Huang, Rui Wang, Tong Yu

Griffin: Towards a Graph-Centric Relational Database Foundation Model

Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang

DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making

Ziru Wang, Mengmeng Wang, Jade Dai, Teli Ma, Guo-Jun Qi

Discovering Latent Causal Graphs from Spatiotemporal Data

Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu

Learning Dynamics in Continual Pre-Training for Large Language Models

Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng

Predictive Performance of Deep Quantum Data Re-uploading Models

Xin Wang, Hanxiao Tao, Rebing Wu

Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance

Yusong Wang, Shiyin Tan, Jialun Shen, Yicheng Xu, Haobo SONG

Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach

Zhigaoyuan Wang, Ying Sun, Hengshu Zhu

Origin Identification for Text-Guided Image-to-Image Diffusion Models

Wenhao Wang, Yifan Sun, Zongxin Yang, Zhentao Tan, Zhengdong Hu

Online Clustering of Dueling Bandits

Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu

Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis

Qunzhong Wang, Xiangguo Sun, Hong Cheng

GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation

Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs

Yinong Oliver Wang, Nivedha Sivakumar, Falaah Arif Khan, Katherine Metcalf, Adam Golinski

High-Dimensional Tensor Regression With Oracle Properties

Wenbin Wang, Yu Shi, Ziping Zhao

Learning-Order Autoregressive Models with Application to Molecular Graph Generation

Zhe Wang, Jiaxin Shi, Nicolas Heess, Arthur Gretton, Michalis Titsias

Distributionally Robust Policy Learning under Concept Drifts

Jingyuan Wang, Zhimei Ren, Ruohan Zhan, Zhengyuan Zhou

INRFlow: Flow Matching for INRs in Ambient Space

Yuyang Wang, Anurag Ranjan, Joshua M. Susskind, Miguel Angel Bautista

The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport

Chenrui Wang, Yixuan Qiu

Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression

Andong Wang, Yuning Qiu, Zhong Jin, Guoxu Zhou, Qibin Zhao

Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer

Yihang Wang, Yuying Qiu, Peng Chen, KAI ZHAO, Yang Shu

LightGTS: A Lightweight General Time Series Forecasting Model

Yihang Wang, Yuying Qiu, Peng Chen, Yang Shu, Zhongwen Rao

Safety Reasoning with Guidelines

Haoyu Wang, Zeyu Qin, Li Shen, Xueqian Wang, Dacheng Tao

Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics

Puli Wang, Yu Qi, Yueming Wang, Gang Pan

Taming Rectified Flow for Inversion and Editing

Jiangshan Wang, Junfu Pu, Zhongang Qi, Jiayi Guo, Yue Ma

Diffusion Sampling Correction via Approximately 10 Parameters

Guangyi Wang, Wei Peng, Lijiang Li, Wenyu Chen, Yuren Cai

Staged and Physics-Grounded Learning Framework with Hyperintensity Prior for Pre-Contrast MRI Synthesis

Dayang Wang, Srivathsa Pasumarthi Venkata, Ajit Shankaranarayanan, Greg Zaharchuk

MA-LoT: Model-Collaboration Lean-based Long Chain-of-Thought Reasoning enhances Formal Theorem Proving

Ruida WANG, Rui Pan, Yuxin Li, Jipeng Zhang, Yizhen Jia

Teaching Physical Awareness to LLMs through Sounds

Weiguo Wang, Andy Nie, Wenrui Zhou, Yi Kai, Chengchen Hu

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation

Qi Wang, Yuan Mi, Wang Haoyun, Yi Zhang, Ruizhi Chengze

NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction

Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu

Agent Workflow Memory

Zora Zhiruo Wang, Jiayuan Mao, Daniel Fried, Graham Neubig

Textural or Textual: How Vision-Language Models Read Text in Images

Hanzhang Wang, Qingyuan Ma

Variational Counterfactual Intervention Planning to Achieve Target Outcomes

Xin Wang, Shengfei Lyu, Chi Luo, Xiren Zhou, Huanhuan Chen

Attention-Only Transformers via Unrolled Subspace Denoising

Peng Wang, Yifu Lu, Yaodong Yu, Druv Pai, Qing Qu

SSHR: More Secure Generative Steganography with High-Quality Revealed Secret Images

Jiannian Wang, Yao Lu, Guangming Lu

Generalization in Federated Learning: A Conditional Mutual Information Framework

Ziqiao Wang, Cheng Long, Yongyi Mao

DiLQR: Differentiable Iterative Linear Quadratic Regulator via Implicit Differentiation

Shuyuan Wang, Philip D Loewen, Michael Forbes, Bhushan Gopaluni, Wei Pan