Lin, Wei

70 publications

ICLR 2026 Delay Flow Matching Bolin Zhao, Xiaoyu Zhang, Yuting Dong, Xin Lu, Wei Lin, Qunxi Zhu

ICLR 2026 LogiConBench: Benchmarking Logical Consistencies of LLMs Zheng Chen, Chuan Zhou, Fengxiang Cheng, Yip Tin Po, Fenrong Liu, Yisen Wang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Bo Li, Haoxuan Li, Zhouchen Lin

ICLR 2026 MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning Haocheng Yang, Fengxiang Cheng, Tianjun Yao, Mengyue Yang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Soummya Kar, Fenrong Liu, Haoxuan Li, Yisen Wang

ICLR 2026 PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies Lukas Selch, Yufang Hou, Muhammad Jehanzeb Mirza, Sivan Doveh, James R. Glass, Rogerio Feris, Wei Lin

ICLR 2026 REST: Reshaping Token-Level Policy Gradients for Tool-Use Large Language Models Zihan Lin, Xiaohan Wang, Jie Cao, Jiajun Chai, Guojun Yin, Wei Lin, Ran He

ICLR 2026 SAE as a Crystal Ball: Interpretable Features Predict Cross-Domain Transferability of LLMs Without Training Qi Zhang, Yifei Wang, Xiaohan Wang, Jiajun Chai, Guojun Yin, Wei Lin, Yisen Wang

ICLR 2026 SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao

ICLR 2026 ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Models Juntian Zhang, Song Jin, Chuanqi Cheng, Yuhan Liu, Yankai Lin, Xun Zhang, Yufei Zhang, Fei Jiang, Guojun Yin, Wei Lin, Rui Yan

AAAI 2025 Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks Jia-Li Yin, Weijian Wang, Lyhwa, Wei Lin, Ximeng Liu

NeurIPS 2025 Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data Shuli Zhang, Hao Zhou, Jiaqi Zheng, Guibin Jiang, Cheng Bing, Wei Lin, Guihai Chen

CVPRW 2025 Comparison Visual Instruction Tuning Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogério Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

NeurIPS 2025 Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for and with Foundation Models Daoyuan Chen, Yilun Huang, Xuchen Pan, Jiang Nana, Haibin Wang, Yilei Zhang, Ce Ge, Yushuo Chen, Wenhao Zhang, Zhijian Ma, Jun Huang, Wei Lin, Yaliang Li, Bolin Ding, Jingren Zhou

ICML 2025 Efficient Long Context Fine-Tuning with Chunk Flow Xiulong Yuan, Hongtao Xu, Wenting Shen, Ang Wang, Xiafei Qiu, Jie Zhang, Yuqiong Liu, Bowen Yu, Junyang Lin, Mingzhen Li, Weile Jia, Yong Li, Wei Lin

CVPRW 2025 Exploring Modality Guidance to Enhance VFM-Based Feature Fusion for UDA in 3D Semantic Segmentation Johannes Spöcklberger, Wei Lin, Pedro Hermosilla, Sivan Doveh, Horst Possegger, Muhammad Jehanzeb Mirza

TMLR 2025 GLOV: Guided Large Language Models as Implicit Optimizers for Vision Language Models Muhammad Jehanzeb Mirza, Mengjie Zhao, Zhuoyuan Mao, Sivan Doveh, Wei Lin, Paul Gavrikov, Michael Dorkenwald, Shiqi Yang, Saurav Jha, Hiromi Wakaki, Yuki Mitsufuji, Horst Possegger, Rogerio Feris, Leonid Karlinsky, James R. Glass

ICCV 2025 KOEnsAttack: Towards Efficient Data-Free Black-Box Adversarial Attacks via Knowledge-Orthogonalized Substitute Ensembles Chaoyong Yang, Jia-Li Yin, Bin Chen, Zhaozhe Hu, Xiaolei Liu, Wei Lin

NeurIPS 2025 Learning Provably Improves the Convergence of Gradient Descent Qingyu Song, Wei Lin, Hong Xu

ICLR 2025 LiveXiv - A Multi-Modal Live Benchmark Based on arXiv Papers Content Nimrod Shabtay, Felipe Maia Polo, Sivan Doveh, Wei Lin, Muhammad Jehanzeb Mirza, Leshem Choshen, Mikhail Yurochkin, Yuekai Sun, Assaf Arbelle, Leonid Karlinsky, Raja Giryes

ICML 2025 Neural Event-Triggered Control with Optimal Scheduling Luan Yang, Jingdong Zhang, Qunxi Zhu, Wei Lin

NeurIPS 2025 PUO-Bench: A Panel Understanding and Operation Benchmark with a Privacy-Preserving Framework Wei Lin, Yiwei Zhou, Junkai Zhang, Rui Shao, Zhiyuan Zhao, Junyu Gao, Antoni B. Chan, Xuelong Li

CVPR 2025 PerLA: Perceptive 3D Language Assistant Guofeng Mei, Wei Lin, Luigi Riz, Yujiao Wu, Fabio Poiesi, Yiming Wang

CVPR 2025 Point-to-Region Loss for Semi-Supervised Point-Based Crowd Counting Wei Lin, Chenyang Zhao, Antoni B. Chan

NeurIPS 2025 PolarQuant: Leveraging Polar Transformation for Key Cache Quantization and Decoding Acceleration Songhao Wu, Ang Lv, Xiao Feng, Yufei Zhang, Xun Zhang, Guojun Yin, Wei Lin, Rui Yan

ICLR 2025 Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization Wei Lin, Jia Wan, Antoni B. Chan

ICCV 2025 Robust 3D Object Detection Using Probabilistic Point Clouds from Single-Photon LiDARs Bhavya Goyal, Felipe Gutierrez-Barragan, Wei Lin, Andreas Velten, Yin Li, Mohit Gupta

NeurIPS 2025 STSBench: A Spatio-Temporal Scenario Benchmark for Multi-Modal Large Language Models in Autonomous Driving Christian Fruhwirth-Reisinger, Dušan Malić, Wei Lin, David Schinagl, Samuel Schulter, Horst Possegger

AAAI 2025 Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization Guanghan Li, Xun Zhang, Yufei Zhang, Yifan Yin, Guojun Yin, Wei Lin

NeurIPS 2025 pLSTM: Parallelizable Linear Source Transition Mark Networks Korbinian Pöppel, Richard Freinschlag, Thomas Schmied, Wei Lin, Sepp Hochreiter

AAAI 2024 A Fixed-Point Approach to Unified Prompt-Based Counting Wei Lin, Antoni B. Chan

ECCV 2024 A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks Feiyu Chen, Wei Lin, Ziquan Liu, Antoni Chan

ICML 2024 A Statistical Theory of Regularization-Based Continual Learning Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

AAAI 2024 Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin

NeurIPSW 2024 Comparison Visual Instruction Tuning Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogerio Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky

NeurIPS 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs Irene Huang, Wei Lin, M. Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogerio Feris, Leonid Karlinsky

ICML 2024 FESSNC: Fast Exponentially Stable and Safe Neural Controller Jingdong Zhang, Luan Yang, Qunxi Zhu, Wei Lin

ICML 2024 From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems Xin Li, Jingdong Zhang, Qunxi Zhu, Chengli Zhao, Xue Zhang, Xiaojun Duan, Wei Lin

AAAI 2024 How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

AAAI 2024 Hypergraph Neural Architecture Search Wei Lin, Xu Peng, Zhengtao Yu, Taisong Jin

ECCV 2024 Meta-Prompting for Automating Zero-Shot Visual Recognition with LLMs Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Sivan Doveh, Jakub Micorek, Mateusz Kozinski, Hilde Kuehne, Horst Possegger

NeurIPS 2024 PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin

CVPR 2024 PortraitBooth: A Versatile Portrait Model for Fast Identity-Preserved Personalization Xu Peng, Junwei Zhu, Boyuan Jiang, Ying Tai, Donghao Luo, Jiangning Zhang, Wei Lin, Taisong Jin, Chengjie Wang, Rongrong Ji

ECCV 2024 Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM Jia Wan, Qiangqiang Wu, Wei Lin, Antoni Chan

ICML 2024 Switched Flow Matching: Eliminating Singularities via Switching ODEs Qunxi Zhu, Wei Lin

NeurIPS 2024 Text2NKG: Fine-Grained N-Ary Relation Extraction for N-Ary Relational Knowledge Graph Construction Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan

ECCVW 2024 Towards Multimodal In-Context Learning for Vision and Language Models Sivan Doveh, Shaked Perek, Muhammad Jehanzeb Mirza, Wei Lin, Amit Alfassy, Assaf Arbelle, Shimon Ullman, Leonid Karlinsky

CVPR 2024 Towards Robust Learning to Optimize with Theoretical Guarantees Qingyu Song, Wei Lin, Juncheng Wang, Hong Xu

CVPR 2023 ActMAD: Activation Matching to Align Distributions for Test-Time-Training Muhammad Jehanzeb Mirza, Pol Jané Soneira, Wei Lin, Mateusz Kozinski, Horst Possegger, Horst Bischof

NeurIPS 2023 LaFTer: Label-Free Tuning of Zero-Shot Classifier Using Language and Unlabeled Image Collections Muhammad Jehanzeb Mirza, Leonid Karlinsky, Wei Lin, Horst Possegger, Mateusz Kozinski, Rogerio Feris, Horst Bischof

ICCV 2023 MATE: Masked Autoencoders Are Online 3D Test-Time Learners M. Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof

ICCV 2023 MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogerio Feris, Hilde Kuehne, Horst Bischof

CVPR 2023 Optimal Transport Minimization: Crowd Localization on Density Maps for Semi-Supervised Counting Wei Lin, Antoni B. Chan

AAAI 2023 SKDBERT: Compressing BERT via Stochastic Knowledge Distillation Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

ICLR 2023 Sync: Safety-Aware Neural Control for Stabilizing Stochastic Delay-Differential Equations Jingdong Zhang, Qunxi Zhu, Wei Yang, Wei Lin

COLT 2023 The Aggregation–Heterogeneity Trade-Off in Federated Learning Xuyang Zhao, Huiyuan Wang, Wei Lin

CVPR 2023 Video Test-Time Adaptation for Action Recognition Wei Lin, Muhammad Jehanzeb Mirza, Mateusz Kozinski, Horst Possegger, Hilde Kuehne, Horst Bischof

IJCAI 2022 CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan

ECCV 2022 CycDA: Unsupervised Cycle Domain Adaptation to Learn from Image to Video Wei Lin, Anna Kukleva, Kunyang Sun, Horst Possegger, Hilde Kuehne, Horst Bischof

NeurIPSW 2022 Hamiltonian Neural Koopman Operator Jingdong Zhang, Qunxi Zhu, Wei Lin

AAAI 2022 Neural Piecewise-Constant Delay Differential Equations Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin

NeurIPS 2022 Neural Stochastic Control Jingdong Zhang, Qunxi Zhu, Wei Lin

IJCAI 2022 RAW-GNN: RAndom Walk Aggregation Based Graph Neural Network Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang

CVPR 2021 Cross-View Cross-Scene Multi-View Crowd Counting Qi Zhang, Wei Lin, Antoni B. Chan

ICLR 2021 Neural Delay Differential Equations Qunxi Zhu, Yao Guo, Wei Lin

IJCAI 2020 AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

AAAI 2020 RPM-Oriented Query Rewriting Framework for E-Commerce Keyword-Based Sponsored Search (Student Abstract) Xiuying Chen, Daorui Xiao, Shen Gao, Guojun Liu, Wei Lin, Bo Zheng, Dongyan Zhao, Rui Yan

CVPR 2020 SwapText: Image Based Texts Transfer in Scenes Qiangpeng Yang, Jun Huang, Wei Lin

CVPR 2019 Learning from Synthetic Data for Crowd Counting in the Wild Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan

IJCAI 2019 Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks Yun Wang, Lun Du, Guojie Song, Xiaojun Ma, Lichen Jin, Wei Lin, Fei Sun

CVPRW 2018 Efficient Deep Learning Inference Based on Model Compression Qing Zhang, Mengru Zhang, Mengdi Wang, Wanchen Sui, Chen Meng, Jun Yang, Weidan Kong, Xiaoyuan Cui, Wei Lin

IJCAI 2018 IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin