Lin Chen

I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search EACL 2026 UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision ACL 2026 Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models ACL 2026 CoMA-SLAM: Collaborative Multi-Agent Gaussian SLAM with Geometric Consistency AAAI 2026 CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios EMNLP 2025 Ensemble Learned Bloom Filters: Two Oracles are Better than One ICML 2025 Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation ICML 2025 VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping AAAI 2025 MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA ICLR 2025 Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation EMNLP 2025 On Bias-Variance Alignment in Deep Models ICLR 2024 Dynamic Neural Response Tuning ICLR 2024 ShareGPT4V: Improving Large Multi-Modal Models with Better Captions ECCV 2024 Stronger Fewer & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation CVPR 2024 Optimistic Rates for Learning from Label Proportions COLT 2024 FreeDrag: Feature Dragging for Reliable Point-based Image Editing CVPR 2024 VulnerabilityMap: An Open Framework for Mapping Vulnerability among Urban Disadvantaged Populations in the United States IJCAI 2024 ShareGPT4Video: Improving Video Understanding and Generation with Better Captions NIPS 2024 Are We on the Right Way for Evaluating Large Vision-Language Models? NIPS 2024 Prism: A Framework for Decoupling and Assessing the Capabilities of VLMs NIPS 2024 ViT-Calibrator: Decision Stream Calibration for Vision Transformer AAAI 2024 Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection AAAI 2024 Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024 Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions ICLR 2024 Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking NIPS 2023 Acceleration of Large Transformer Model Training by Sensitivity-Based Layer Dropping AAAI 2023 Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement ICCV 2023 Sequential Attention for Feature Selection ICLR 2023 Reusing the Task-Specific Classifier as a Discriminator: Discriminator-Free Adversarial Domain Adaptation CVPR 2022 Deliberated Domain Bridging for Domain Adaptive Semantic Segmentation NIPS 2022 Local Differential Privacy Meets Computational Social Choice - Resilience under Voter Deletion IJCAI 2022 Multiple Descent: Design Your Own Generalization Curve NIPS 2021 Meta Learning in the Continuous Time Limit AISTATS 2021 Deep Neural Tangent Kernel and Laplace Kernel Have the Same RKHS ICLR 2021 The curious case of adversarially robust models: More data can help, double descend, or hurt generalization UAI 2021 Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free AISTATS 2020 Black Box Submodular Maximization: Discrete and Continuous Settings AISTATS 2020 More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models ICML 2020 TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning CVPR 2020 Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition NIPS 2020 Youling: an AI-assisted Lyrics Creation System EMNLP 2020 Open-Ended Visual Question Answering by Multi-Modal Domain Adaptation EMNLP 2020 Online Continuous Submodular Maximization: From Full-Information to Bandit Feedback NIPS 2019 Locality-Sensitive Hashing for f-Divergences: Mutual Information Loss and Beyond NIPS 2019 Categorical Feature Compression via Submodular Optimization ICML 2019 Election with Bribed Voter Uncertainty: Hardness and Approximation Algorithm AAAI 2019 Projection-Free Bandit Convex Optimization AISTATS 2019 Election with Bribe-Effect Uncertainty: A Dichotomy Result IJCAI 2019 Weakly Submodular Maximization Beyond Cardinality Constraints: Does Randomization Help Greedy? ICML 2018 Online Continuous Submodular Maximization AISTATS 2018 Comparison Based Learning from Weak Oracles AISTATS 2018 Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018 Interactive Submodular Bandit NIPS 2017 Estimating the Size of a Large Network and its Communities from a Random Sample NIPS 2016 Clustering-Based Joint Feature Selection for Semantic Attribute Prediction IJCAI 2016 Recognizing RGB Images by Learning from RGB-D Data CVPR 2014 Predicting Multiple Attributes via Relative Multi-task Learning CVPR 2014 Event Recognition in Videos by Learning from Heterogeneous Web Sources CVPR 2013 Co-reference via Pointing and Haptics in Multi-Modal Dialogues NAACL 2012 A Lucene and Maximum Entropy Model Based Hedge Detection System CONLL 2010