Yang Gao

Think Better, Not Longer: Token-Level Marginal Utility for Efficient Reasoning in Large Reasoning Models ACL 2026 Thinking-Based Non-Thinking: Solving the Reward Hacking Problem in Training Hybrid Reasoning Models via Reinforcement Learning ACL 2026 ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation AAAI 2026 Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026 Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners AAAI 2026 Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026 EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios ACL 2026 Persona-E²: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events ACL 2026 Faster Game Solving via Asymmetry of Step Sizes AAAI 2026 SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation IJCAI 2025 Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025 Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 2025 Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025 Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025 HuB: Learning Extreme Humanoid Balance CORL 2025 FACET: Force-Adaptive Control via Impedance Reference Tracking for Legged Robots CORL 2025 KineDex: Learning Tactile-Informed Visuomotor Policies via Kinesthetic Teaching for Dexterous Manipulation CORL 2025 Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining ICCV 2025 Dynamic Multi-Layer Null Space Projection for Vision-Language Continual Learning ICCV 2025 Self-Supervised Monocular 4D Scene Reconstruction for Egocentric Videos ICCV 2025 Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games AAAI 2025 Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning AAAI 2025 NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations ICCV 2025 Data Scaling Laws in Imitation Learning for Robotic Manipulation ICLR 2025 OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models ACL 2025 CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning ACL 2025 Unveiling and Addressing Pseudo Forgetting in Large Language Models ACL 2025 LongSafety: Enhance Safety for Long-Context LLMs ACL 2025 Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication UAI 2025 Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD ICLR 2025 SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation RSS 2025 High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning MICCAI 2025 GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation ICLR 2025 Learning to Plan Before Answering: Self-Teaching LLMs to Learn Abstract Plans for Problem Solving ICLR 2025 RRM: Robust Reward Model Training Mitigates Reward Hacking ICLR 2025 SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters CVPR 2025 Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025 Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025 Imitation Learning from Observation with Automatic Discount Scheduling ICLR 2024 ViT-Calibrator: Decision Stream Calibration for Vision Transformer AAAI 2024 Weakly Supervised Multimodal Affordance Grounding for Egocentric Images AAAI 2024 Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios AAAI 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024 DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection AAAI 2024 Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning AAAI 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SEMEVAL 2024 Can Transformers Capture Spatial Relations between Objects? ICLR 2024 PSST: A Benchmark for Evaluation-driven Text Public-Speaking Style Transfer EMNLP 2024 How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024 Scalable and Domain-General Abstractive Proposition Segmentation EMNLP 2024 HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models CVPR 2024 Seer: Language Instructed Video Prediction with Latent Diffusion Models ICLR 2024 InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD NIPS 2024 InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ICLR 2024 Any-point Trajectory Modeling for Policy Learning RSS 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers NIPS 2024 Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024 EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024 Safe and Robust Subgame Exploitation in Imperfect Information Games ICML 2024 Word Matters: What Influences Domain Adaptation in Summarization? ACL 2024 Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding NAACL 2024 General Flow as Foundation Affordance for Scalable Robot Learning CORL 2024 Multi-Transmotion: Pre-trained Model for Human Motion Prediction CORL 2024 DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands CORL 2024 Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation CORL 2024 Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation CVPR 2024 Towards Explainable Evaluation Metrics for Machine Translation JMLR 2024 Digital Life Project: Autonomous 3D Characters with Social Intelligence CVPR 2024 STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024 Discriminative Feature Decoupling Enhancement for Speech Forgery Detection IJCAI 2024 The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation ECCV 2024 Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization ECCV 2024 START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NIPS 2024 CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 2024 Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own CORL 2024 SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization NIPS 2024 Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks NIPS 2024 OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement COLING 2024 Social-Transmotion: Promptable Human Trajectory Prediction ICLR 2024 Diving Segmentation Model into Pixels ICLR 2024 Hybrid Sharing for Multi-Label Image Classification ICLR 2024 Uni-O4: Unifying Online and Offline Deep Reinforcement Learning with Multi-Step On-Policy Optimization ICLR 2024 Predictive Inference with Feature Conformal Prediction ICLR 2023 Programmatically Grounded, Compositionally Generalizable Robotic Manipulation ICLR 2023 Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding AAAI 2023 An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023 Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination AAAI 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023 Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023 The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics AACL 2023 Efficient Subgame Refinement for Extensive-form Games NIPS 2023 TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023 DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder ACL 2023 Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023 The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics IJCNLP 2023 Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation CVPR 2023 Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023 Policy Contrastive Imitation Learning ICML 2023 Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023 For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023 A Policy Optimization Method Towards Optimal-time Stability CORL 2023 IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization ICCV 2023 DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-Centric Rendering ICCV 2023 DomainAdaptor: A Novel Approach to Test-time Adaptation ICCV 2023 A Universal Semantic-Geometric Representation for Robotic Manipulation CORL 2023 Decision Transformer under Random Frame Dropping ICLR 2023 SpeedyZero: Mastering Atari with Limited Data and Time ICLR 2023 Become a Proficient Player with Limited Data through Watching Pure Videos ICLR 2023 ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation CVPR 2022 PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization COLING 2022 Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions NIPS 2022 Planning for Sample Efficient Imitation Learning NIPS 2022 Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022 An Empirical Study on Disentanglement of Negative-free Contrastive Learning NIPS 2022 Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion IJCAI 2022 Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction ECCV 2022 Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NIPS 2022 CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation ECCV 2022 Semantic-Aware Fine-Grained Correspondence ECCV 2022 MVDG: A Unified Multi-View Framework for Domain Generalization ECCV 2022 EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer ECCV 2022 HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling ECCV 2022 LaSSL: Label-Guided Self-Training for Semi-supervised Learning AAAI 2022 Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming ICML 2022 Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation CVPR 2021 Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration NIPS 2021 Reinforcement Learning with Latent Flow NIPS 2021 Mastering Atari Games with Limited Data NIPS 2021 Single View Point Cloud Generation via Unified 3D Prototype AAAI 2021 ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation AAAI 2021 Exploring Explainable Selection to Control Abstractive Summarization AAAI 2021 Cross-Lingual Abstractive Summarization with Limited Parallel Resources ACL 2021 Supporting Complaints Investigation for Nursing and Midwifery Regulatory Agencies ACL 2021 Prediction or Comparison: Toward Interpretable Qualitative Reasoning ACL 2021 To be Closer: Learning to Link up Aspects with Opinions EMNLP 2021 The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results EMNLP 2021 Manifold Alignment for Semantically Aligned Style Transfer ICCV 2021 LoFGAN: Fusing Local Representations for Few-Shot Image Generation ICCV 2021 Mining Latent Classes for Few-Shot Segmentation ICCV 2021 Discovering Non-monotonic Autoregressive Orderings with Variational Inference ICLR 2021 Mutual Information State Intrinsic Control ICLR 2021 Keyframe-Focused Visual Imitation Learning ICML 2021 Cross-Lingual Abstractive Summarization with Limited Parallel Resources IJCNLP 2021 Supporting Complaints Investigation for Nursing and Midwifery Regulatory Agencies IJCNLP 2021 Prediction or Comparison: Toward Interpretable Qualitative Reasoning IJCNLP 2021 Generalized Spoofing Detection Inspired from Audio Generation Artifacts INTERSPEECH 2021 Attention-Based Spatial Guidance for Image-to-Image Translation WACV 2021 Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 Multi-Agent Game Abstraction via Graph Attention Neural Network AAAI 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Fighting Copycat Agents in Behavioral Cloning from Observation Histories NIPS 2020 Interactive Text-to-Speech System via Joint Style Analysis INTERSPEECH 2020 Graph Neural Architecture Search IJCAI 2020 NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020 Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020 Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020 Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization ACL 2020 On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ACL 2020 Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition ECCV 2020 SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020 Biased Feature Learning for Occlusion Invariant Face Recognition IJCAI 2020 Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019 MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance EMNLP 2019 Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns IJCAI 2019 Reward Learning for Efficient Reinforcement Learning in Extractive Document Summarisation IJCAI 2019 MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance IJCNLP 2019 Concept Pointer Network for Abstractive Summarization IJCNLP 2019 Better Rewards Yield Better Summaries: Learning to Summarise Without References IJCNLP 2019 Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning AAAI 2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 2019 Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation NAACL 2019 Does My Rebuttal Matter? Insights from a Major NLP Conference NAACL 2019 Multistream Classification with Relative Density Ratio Estimation AAAI 2019 A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 2019 Concept Pointer Network for Abstractive Summarization EMNLP 2019 Task-oriented Word Embedding for Text Classification COLING 2018 APRIL: Interactively Learning to Summarise by Combining Active Preference Learning and Reinforcement Learning EMNLP 2018 Using Argument-based Features to Predict and Analyse Review Helpfulness EMNLP 2017 End-To-End Learning of Driving Models From Large-Scale Video Datasets CVPR 2017 Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017 Generalized Orderless Pooling Performs Implicit Salient Matching ICCV 2017 Compact Bilinear Pooling CVPR 2016 Multi-layered Gesture Recognition with Kinect JMLR 2015 Potential Based Reward Shaping for Hierarchical Reinforcement Learning IJCAI 2015 Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis CVPR 2014 Aligning English Strings with Abstract Meaning Representation Graphs EMNLP 2014 Deceptive Answer Prediction with User Preference Graph ACL 2013 Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso CVPR 2013 Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation EMNLP 2011