Yuxin Chen

MMhops-R1: Multimodal Multi-hop Reasoning AAAI 2026 Automatic Prompt Engineering for Scalable Prompt Inversion in Text-to-Image Ad Generation ACL 2026 GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing ACL 2026 Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling AAAI 2025 AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation ACL 2025 Anytime Acceleration of Gradient Descent COLT 2025 Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization ICLR 2025 Language Representations Can be What Recommenders Need: Findings and Potentials ICLR 2025 Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization UAI 2025 Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion CVPR 2025 Low-dimensional adaptation of diffusion models: Convergence in total variation (extended abstract) COLT 2025 Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient? UAI 2025 VisionMath: Vision-Form Mathematical Problem-Solving ICCV 2025 Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation AISTATS 2025 Robust Multi-fidelity Bayesian Optimization with Deep Kernel and Partition AISTATS 2025 DOGR: Towards Versatile Visual Document Grounding and Referring ICCV 2025 Minimax Optimal Regret Bound for Reinforcement Learning with Trajectory Feedback ICML 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention CORL 2025 Versatile Loco-Manipulation through Flexible Interlimb Coordination CORL 2025 Taming Rectified Flow for Inversion and Editing ICML 2025 Mamba-3VL: Taming State Space Model for 3D Vision Language Learning ICCV 2025 Blending Imitation and Reinforcement Learning for Robust Policy Improvement ICLR 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 Learning to Rank for Active Learning via Multi-Task Bilevel Optimization UAI 2024 Wukong: Towards a Scaling Law for Large-Scale Recommendation ICML 2024 Accelerating Convergence of Score-Based Diffusion Models, Provably ICML 2024 GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks NIPS 2024 On Softmax Direct Preference Optimization for Recommendation NIPS 2024 Contextual Active Model Selection NIPS 2024 Advancing Cross-domain Discriminability in Continual Learning of Vision-Language Models NIPS 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NIPS 2024 Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context ICML 2024 Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints ICLR 2024 Horizon-Free Regret for Linear Markov Decision Processes ICLR 2024 Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models ICLR 2024 Enhancing Instance-Level Image Classification with Set-Level Labels ICLR 2024 Model-based Policy Optimization under Approximate Bayesian Inference AISTATS 2024 Don’t Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024 Minimax-optimal reward-agnostic exploration in reinforcement learning COLT 2024 Settling the sample complexity of online reinforcement learning COLT 2024 Optimal Multi-Distribution Learning COLT 2024 How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval? CVPR 2024 EA-VTR: Event-Aware Video-Text Retrieval ECCV 2024 Order-Prompted Tag Sequence Generation for Video Tagging ICCV 2023 Active Policy Improvement from Multiple Black-box Oracles ICML 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation ICML 2023 The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model NIPS 2023 Learning Human-Compatible Representations for Case-Based Decision Support ICLR 2023 Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing ICLR 2023 ViLEM: Visual-Language Error Modeling for Image-Text Retrieval CVPR 2023 Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023 Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning NIPS 2023 Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model NIPS 2022 Open-Vocabulary One-Stage Detection With Hierarchical Visual-Language Knowledge Distillation CVPR 2022 Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity ICML 2022 Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data NAACL 2022 Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting NIPS 2021 Understanding the Effect of Bias in Deep Anomaly Detection IJCAI 2021 Softmax Policy Gradient Methods Can Take Exponential Time to Converge COLT 2021 Channel-Wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition ICCV 2021 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning NIPS 2021 Teaching an Active Learner with Contrastive Examples NIPS 2021 Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NIPS 2021 The Teaching Dimension of Kernel Perceptron AISTATS 2021 Learning to Make Decisions via Submodular Regularization ICLR 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Tightening the Dependence on Horizon in the Sample Complexity of Q-Learning ICML 2021 Breaking the Sample Size Barrier in Model-Based Reinforcement Learning with a Generative Model NIPS 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction AISTATS 2020 Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction NIPS 2020 Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality ICML 2020 Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction JMLR 2020 Understanding the Power and Limitations of Teaching with Imperfect Knowledge IJCAI 2020 An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020 Teaching Multiple Concepts to a Forgetful Learner NIPS 2019 Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design AISTATS 2019 A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes AISTATS 2019 Nonconvex Matrix Factorization from Rank-One Measurements AISTATS 2019 Type Sequence Preserving Heterogeneous Information Network Embedding AAAI 2019 Landmark Ordinal Embedding NIPS 2019 Nonconvex Low-Rank Tensor Completion from Noisy Data NIPS 2019 Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models NIPS 2019 Implicit Regularization in Nonconvex Statistical Estimation: Gradient Descent Converges Linearly for Phase Retrieval and Matrix Completion ICML 2018 Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners NIPS 2018 Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018 Teaching Categories to Human Learners With Visual Explanations CVPR 2018 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Community Recovery in Graphs with Locality ICML 2016 Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems NIPS 2015 Spectral MLE: Top-K Rank Aggregation from Pairwise Comparisons ICML 2015 Sequential Information Maximization: When is Greedy Near-optimal? COLT 2015 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Near-Optimal Joint Object Matching via Convex Relaxation ICML 2014 Active Detection via Adaptive Submodularity ICML 2014 Near Optimal Bayesian Active Learning for Decision Making AISTATS 2014 Near-optimal Batch Mode Active Learning and Adaptive Submodular Optimization ICML 2013 Spectral Compressed Sensing via Structured Matrix Completion ICML 2013