Chen, Lin

64 publications

ICML 2025 Bipartite Ranking from Multiple Labels: On Loss Versus Label Aggregation Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, Mohammadhossein Bateni, Sanjiv Kumar

ICML 2025 Ensemble Learned Bloom Filters: Two Oracles Are Better than One Ming Lin, Lin Chen

ICLR 2025 MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang

CVPRW 2025 Scaling On-Device GPU Inference for Large Generative Models Jiuqiang Tang, Raman Sorokin, Ekaterina Ignasheva, Grant Jensen, Lin Chen, Juhyun Lee, Andrei Kulik, Matthias Grundmann

CVPRW 2025 SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models Xinyi Zhao, Congjing Zhang, Pei Guo, Wei Li, Lin Chen, Chaoyue Zhao, Shuai Huang

NeurIPS 2025 Spark Transformer: Reactivating Sparsity in Transformer FFN and Attention Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah J. Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix X. Yu, Prateek Jain, David E Culler, Henry Levy, Sanjiv Kumar

AAAI 2025 VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping Zheng Chen, Yu Zeng, Zehui Chen, Hongzhi Gao, Lin Chen, Jiaming Liu, Feng Zhao

NeurIPS 2025 VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning Qiuchen Wang, Ruixue Ding, Yu Zeng, Zehui Chen, Lin Chen, Shihang Wang, Pengjun Xie, Fei Huang, Feng Zhao

NeurIPS 2024 Are We on the Right Way for Evaluating Large Vision-Language Models? Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Jiaqi Wang, Yu Qiao, Dahua Lin, Feng Zhao

ICLR 2024 Dynamic Neural Response Tuning Tian Qiu, Wenxiang Xu, Lin Chen, Linyun Zhou, Zunlei Feng, Mingli Song

AAAI 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang

CVPR 2024 FreeDrag: Feature Dragging for Reliable Point-Based Image Editing Pengyang Ling, Lin Chen, Pan Zhang, Huaian Chen, Yi Jin, Jinjin Zheng

CVPRW 2024 LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints Mengmeng Liu, Hao Cheng, Lin Chen, Hellward Broszio, Jiangtao Li, Runjiang Zhao, Monika Sester, Michael Ying Yang

ICLR 2024 Learning from Aggregate Responses: Instance Level Versus Bag Level Loss Functions Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu

AAAI 2024 Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-Supervised 3D Object Detection Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao

ICLR 2024 On Bias-Variance Alignment in Deep Models Lin Chen, Michal Lukasik, Wittawat Jitkrittum, Chong You, Sanjiv Kumar

COLT 2024 Optimistic Rates for Learning from Label Proportions Gene Li, Lin Chen, Adel Javanmard, Vahab Mirrokni

NeurIPS 2024 Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs Yuxuan Qiao, Haodong Duan, Xinyu Fang, Junming Yang, Lin Chen, Songyang Zhang, Jiaqi Wang, Dahua Lin, Kai Chen

ECCV 2024 ShareGPT4V: Improving Large Multi-Modal Models with Better Captions Lin Chen, Jinsong Li, Xiaoyi Dong, Pan Zhang, Conghui He, Jiaqi Wang, Feng Zhao, Dahua Lin

NeurIPS 2024 ShareGPT4Video: Improving Video Understanding and Generation with Better Captions Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Zehui Chen, Haodong Duan, Bin Lin, Zhenyu Tang, Li Yuan, Yu Qiao, Dahua Lin, Feng Zhao, Jiaqi Wang

CVPR 2024 Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation Zhixiang Wei, Lin Chen, Yi Jin, Xiaoxiao Ma, Tianle Liu, Pengyang Ling, Ben Wang, Huaian Chen, Jinjin Zheng

AAAI 2024 ViT-Calibrator: Decision Stream Calibration for Vision Transformer Lin Chen, Zhijie Jia, Lechao Cheng, Yang Gao, Jie Lei, Yijun Bei, Zunlei Feng

IJCAI 2024 VulnerabilityMap: An Open Framework for Mapping Vulnerability Among Urban Disadvantaged Populations in the United States Lin Chen, Yong Li, Pan Hui

AAAI 2023 Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping Yujie Zeng, Wenlong He, Ihor V. Vasyltsov, Jiali Pang, Lin Chen

ICCV 2023 Disentangle Then Parse: Night-Time Semantic Segmentation with Illumination Disentanglement Zhixiang Wei, Lin Chen, Tao Tu, Pengyang Ling, Huaian Chen, Yi Jin

ICLR 2023 Sequential Attention for Feature Selection Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni

ICMLW 2023 Sequential Attention for Feature Selection Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu, Vahab Mirrokni

ICMLW 2023 Tensor Proxies for Efficient Feature Cross Search Taisuke Yasuda, Mohammadhossein Bateni, Lin Chen, Matthew Fahrbach, Gang Fu

NeurIPS 2023 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking Mohammad Mahdi Kamani, Yuhang Yao, Hanjia Lyu, Zhongwei Cheng, Lin Chen, Liangju Li, Carlee Joe-Wong, Jiebo Luo

NeurIPS 2022 Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation Lin Chen, Zhixiang Wei, Xin Jin, Huaian Chen, Miao Zheng, Kai Chen, Yi Jin

NeurIPSW 2022 FedRule: Federated Rule Recommendation System with Graph Neural Networks Yuhang Yao, Mohammad Mahdi Kamani, Zhongwei Cheng, Lin Chen, Carlee Joe-Wong, Tianqiang Liu

ECCVW 2022 Learning 3D Semantics from Pose-Noisy 2D Images with Hierarchical Full Attention Network Yuhang He, Lin Chen, Junkun Xie, Long Chen

IJCAI 2022 Local Differential Privacy Meets Computational Social Choice - Resilience Under Voter Deletion Liangde Tao, Lin Chen, Lei Xu, Weidong Shi

CVPR 2022 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen

AISTATS 2021 Meta Learning in the Continuous Time Limit Ruitu Xu, Lin Chen, Amin Karbasi

ICLR 2021 Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS Lin Chen, Sheng Xu

NeurIPS 2021 Multiple Descent: Design Your Own Generalization Curve Lin Chen, Yifei Min, Mikhail Belkin, Amin Karbasi

UAI 2021 The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization Yifei Min, Lin Chen, Amin Karbasi

AISTATS 2020 Black Box Submodular Maximization: Discrete and Continuous Settings Lin Chen, Mingrui Zhang, Hamed Hassani, Amin Karbasi

NeurIPS 2020 Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition Lin Chen, Qian Yu, Hannah Lawrence, Amin Karbasi

ICML 2020 More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models Lin Chen, Yifei Min, Mingrui Zhang, Amin Karbasi

AISTATS 2020 Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free Mingrui Zhang, Lin Chen, Aryan Mokhtari, Hamed Hassani, Amin Karbasi

ICML 2019 Categorical Feature Compression via Submodular Optimization Mohammadhossein Bateni, Lin Chen, Hossein Esfandiari, Thomas Fu, Vahab Mirrokni, Afshin Rostamizadeh

IJCAI 2019 Election with Bribe-Effect Uncertainty: A Dichotomy Result Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

AAAI 2019 Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm Lin Chen, Lei Xu, Shouhuai Xu, Zhimin Gao, Weidong Shi

NeurIPS 2019 Locality-Sensitive Hashing for F-Divergences: Mutual Information Loss and Beyond Lin Chen, Hossein Esfandiari, Gang Fu, Vahab Mirrokni

NeurIPS 2019 Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback Mingrui Zhang, Lin Chen, Hamed Hassani, Amin Karbasi

AISTATS 2019 Projection-Free Bandit Convex Optimization Lin Chen, Mingrui Zhang, Amin Karbasi

AISTATS 2018 Comparison Based Learning from Weak Oracles Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi

AISTATS 2018 Online Continuous Submodular Maximization Lin Chen, Hamed Hassani, Amin Karbasi

ICML 2018 Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity Lin Chen, Christopher Harshaw, Hamed Hassani, Amin Karbasi

ICML 2018 Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? Lin Chen, Moran Feldman, Amin Karbasi

CVPRW 2017 Deep Spatial-Temporal Fusion Network for Video-Based Person Re-Identification Lin Chen, Hua Yang, Ji Zhu, Qin Zhou, Shuang Wu, Zhiyong Gao

AAAI 2017 Discriminative Semi-Supervised Dictionary Learning with Entropy Regularization for Pattern Classification Meng Yang, Lin Chen

NeurIPS 2017 Interactive Submodular Bandit Lin Chen, Andreas Krause, Amin Karbasi

AAAI 2017 Near-Optimal Active Learning of Halfspaces via Query Synthesis in the Noisy Setting Lin Chen, Seyed Hamed Hassani, Amin Karbasi

UAI 2017 Submodular Variational Inference for Network Reconstruction Lin Chen, Forrest W. Crawford, Amin Karbasi

IJCAI 2016 Clustering-Based Joint Feature Selection for Semantic Attribute Prediction Lin Chen, Baoxin Li

NeurIPS 2016 Estimating the Size of a Large Network and Its Communities from a Random Sample Lin Chen, Amin Karbasi, Forrest W. Crawford

AAAI 2016 Seeing the Unseen Network: Inferring Hidden Social Ties from Respondent-Driven Sampling Lin Chen, Forrest W. Crawford, Amin Karbasi

CVPR 2014 Predicting Multiple Attributes via Relative Multi-Task Learning Lin Chen, Qiang Zhang, Baoxin Li

CVPR 2014 Recognizing RGB Images by Learning from RGB-D Data Lin Chen, Wen Li, Dong Xu

CVPR 2013 Event Recognition in Videos by Learning from Heterogeneous Web Sources Lin Chen, Lixin Duan, Dong Xu

CVPR 2010 Tag-Based Web Photo Retrieval Improved by Batch Mode Re-Tagging Lin Chen, Dong Xu, Ivor Wai-Hung Tsang, Jiebo Luo