Yang Yu

An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026 HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation AAAI 2026 Reward Model Evaluation via Automatically-Ranked Policy Alignment AAAI 2026 Multi-agent In-context Coordination via Decentralized Memory Retrieval AAAI 2026 Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking AAAI 2026 SurgPub-Video: A Comprehensive Surgical Video Framework for Enhanced Surgical Intelligence in Vision-Language Model AAAI 2026 An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains AAAI 2026 MPBoCo: Multimodal Prompt-based Boundary-enhanced Continual Framework for Joint Entity and Relation Extraction ACL 2026 OS Rendering Service Made Parallel with Out-of-Order Execution and In-Order Commit OSDI 2025 MRE-MI: A Multi-image Dataset for Multimodal Relation Extraction in Social Media Posts NAACL 2025 Spatiotemporal-Sensitive Network for Microvascular Obstruction Segmentation from Cine Cardiac Magnetic Resonance MICCAI 2025 Learning to Reuse Policies in State Evolvable Environments ICML 2025 Improving Reward Model Generalization from Adversarial Process Enhanced Preferences ICML 2025 LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025 LLM-Assisted Semantically Diverse Teammate Generation for Efficient Multi-agent Coordination ICML 2025 Controlling Large Language Model with Latent Action ICML 2025 Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement Learning ICML 2025 Learning View-invariant World Models for Visual Robotic Manipulation ICLR 2025 On the Optimization Landscape of Low Rank Adaptation Methods for Large Language Models ICLR 2025 Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning ICLR 2025 Q-Adapter: Customizing Pre-trained LLMs to New Preferences with Forgetting Mitigation ICLR 2025 Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching ICLR 2025 LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch ICLR 2025 Semantic Temporal Abstraction via Vision-Language Model Guidance for Efficient Reinforcement Learning ICLR 2025 SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization ICLR 2025 POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion EMNLP 2025 MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations CVPR 2025 GuideNER: Annotation Guidelines Are Better than Examples for In-Context Named Entity Recognition AAAI 2025 GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs AAAI 2025 VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention AAAI 2025 Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024 Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting NIPS 2024 Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate NIPS 2024 Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation NIPS 2024 Multi-Agent Domain Calibration with a Handful of Offline Data NIPS 2024 Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning NIPS 2024 Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency NIPS 2024 KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts NIPS 2024 Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning AAAI 2024 ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning AAAI 2024 Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward AAAI 2024 ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning AAAI 2024 Generalizable Task Representation Learning for Offline Meta-Reinforcement Learning with Data Limitations AAAI 2024 Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study AAAI 2024 Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis CVPR 2024 MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation EMNLP 2024 Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning ICLR 2024 Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning ICLR 2024 Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation ICLR 2024 Language Model Self-improvement by Reinforcement Learning Contemplation ICLR 2024 Limited Preference Aided Imitation Learning from Imperfect Demonstrations ICML 2024 Policy-conditioned Environment Models are More Generalizable ICML 2024 Offline Transition Modeling via Contrastive Energy Learning ICML 2024 Deep Demonstration Tracing: Learning Generalizable Imitator Policy for Runtime Imitation from a Single Demonstration ICML 2024 ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models ICML 2024 Energy-Guided Diffusion Sampling for Offline-to-Online Reinforcement Learning ICML 2024 Causality Based Front-door Defense Against Backdoor Attack on Language Models ICML 2024 Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics ICML 2024 ADMN: Agent-Driven Modular Network for Dynamic Parameter Sharing in Cooperative Multi-Agent Reinforcement Learning IJCAI 2024 Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal IJCAI 2024 Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023 Uncertainty Estimation by Fisher Information-based Evidential Deep Learning ICML 2023 Policy Regularization with Dataset Constraint for Offline Reinforcement Learning ICML 2023 Model-Bellman Inconsistency for Model-based Offline Reinforcement Learning ICML 2023 Provably Efficient Adversarial Imitation Learning with Unknown Transitions UAI 2023 Fast Teammate Adaptation in the Presence of Sudden Policy Change UAI 2023 A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges IJCAI 2023 Natural Language Instruction-following with Task-related Language Development and Translation NIPS 2023 Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NIPS 2023 CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations NIPS 2023 Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023 Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023 Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023 Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract) AAAI 2023 Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023 Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data ICLR 2023 PronScribe: Highly Accurate Multimodal Phonemic Transcription From Speech and Text INTERSPEECH 2023 Model-Based Offline Weighted Policy Optimization (Student Abstract) AAAI 2023 Adversarial Counterfactual Environment Model Learning NIPS 2023 Learning World Models with Identifiable Factorization NIPS 2023 AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NIPS 2023 Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction IJCAI 2023 Active Hierarchical Exploration with Stable Subgoal Representation Learning ICLR 2022 Learning Efficient Online 3D Bin Packing on Packing Configuration Trees ICLR 2022 Efficient Multi-Agent Communication via Shapley Message Value IJCAI 2022 Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022 Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022 Context-Aware Sparse Deep Coordination Graphs ICLR 2022 Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 2022 Efficient Multi-agent Communication via Self-supervised Information Aggregation NIPS 2022 Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation EMNLP 2022 The Teaching Dimension of Regularized Kernel Learners ICML 2022 NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning NIPS 2022 Multi-agent Dynamic Algorithm Configuration NIPS 2022 Bayesian Optimistic Optimization: Optimistic Exploration for Model-based Reinforcement Learning NIPS 2022 Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy AAAI 2022 Invariant Action Effect Model for Reinforcement Learning AAAI 2022 Offline Model-based Adaptable Policy Learning NIPS 2021 Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning AAAI 2021 Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NIPS 2021 NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application EMNLP 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation IJCNLP 2021 HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ACL 2021 Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract) AAAI 2021 Adaptive Online Packing-guided Search for POMDPs NIPS 2021 Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints IJCAI 2021 Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning NIPS 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 QPLEX: Duplex Dueling Multi-Agent Q-Learning ICLR 2021 Offline Imitation Learning with a Misspecified Simulator NIPS 2020 An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints AAAI 2020 RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist NIPS 2020 Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020 Error Bounds of Imitating Policies and Environments NIPS 2020 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning AAAI 2019 On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019 Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 2019 Bridging Machine Learning and Logical Reasoning by Abductive Learning NIPS 2019 Cascaded Algorithm-Selection and Hyper-Parameter Optimization with Extreme-Region Upper Confidence Bound Bandit IJCAI 2019 Reinforcement Learning Experience Reuse with Policy Residual Representation IJCAI 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks IJCNLP 2019 Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018 Mixture of GANs for Clustering IJCAI 2018 Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search IJCAI 2018 Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection IJCAI 2018 Multi-Layered Gradient Boosting Decision Trees NIPS 2018 Towards Sample Efficient Reinforcement Learning IJCAI 2018 Binary Linear Compression for Multi-label Classification IJCAI 2017 Subset Selection under Noise NIPS 2017 Life-Stage Modeling by Customer-Manifold Embedding IJCAI 2017 On Subset Selection with General Cost Constraints IJCAI 2017 Optimizing Ratio of Monotone Set Functions IJCAI 2017 AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles IJCAI 2017 Open Category Classification by Adversarial Sample Generation IJCAI 2017 Parallel Pareto Optimization for Subset Selection IJCAI 2016 User Embedding for Scholarly Microblog Recommendation ACL 2016 Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings IJCAI 2016 On Constrained Boolean Pareto Optimization IJCAI 2015 Subset Selection by Pareto Optimization NIPS 2015 On the Approximation Ability of Evolutionary Optimization with Application to Minimum Set Cover: Extended Abstract IJCAI 2013