← Authors

Yang Gao

190 papers · 2011–2026 · 22 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (20) 🐝 Cross-Pollinator (9) πŸƒ Academic Marathon (14) 🌍 Conference Polyglot (22) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (24) πŸ‘₯ Mega-Team (26) 🀝 Dynamic Duo (21) πŸ”¬ Deep Specialist (20) πŸ‘‘ Triple Crown πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (54) πŸ’Ž Century Club (185) πŸš€ Conference Pioneer ⚑ Prolific Year (14) πŸ”₯ Unstoppable (13) ❓ The Questioner (4) πŸ“ˆ Trend Setter

Conferences

AAAI (29) ICLR (23) CVPR (17) EMNLP (16) NIPS (14) ACL (14) IJCAI (13) ICCV (12) CORL (10) ECCV (9) ICML (8) IJCNLP (7) COLING (3) NAACL (3) INTERSPEECH (2) JMLR (2) RSS (2) UAI (2) MICCAI (1) AACL (1) SEMEVAL (1) WACV (1)

Top co-authors

Jing Huo (21) Yinghuan Shi (21) Wenbin Li (20) Heyan Huang (17) Lei Qi (16) Chuan Wen (12) Lei Wang (11) Yu Bai (10) Steffen Eger (9) Yujing Hu (8)

Keywords

few-shot learning (13) large language model (12) reinforcement learning (10) domain adaptation (9) transfer learning (8) multi-agent reinforcement learning (7) abstractive summarization (7) metric learning (6) multimodal learning (6) representation learning (6) imitation learning (6) semi-supervised learning (5) vision-language model (4) text classification (4) supervised fine-tuning (4) convolutional neural network (4) domain generalization (4) semantic segmentation (4) document summarization (4) monte carlo tree search (4)

Papers

Identifying and Analyzing Performance-Critical Tokens in Large Language Models AAAI 2026
Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners AAAI 2026
Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning AAAI 2026
ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation AAAI 2026
Faster Game Solving via Asymmetry of Step Sizes AAAI 2026
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
Data Scaling Laws in Imitation Learning for Robotic Manipulation ICLR 2025
Leveraging Flatness to Improve Information-Theoretic Generalization Bounds for SGD ICLR 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
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
LongSafety: Enhance Safety for Long-Context LLMs ACL 2025
Unveiling and Addressing Pseudo Forgetting in Large Language Models ACL 2025
NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations ICCV 2025
SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation RSS 2025
CoT-VTM: Visual-to-Music Generation with Chain-of-Thought Reasoning ACL 2025
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models ACL 2025
RRM: Robust Reward Model Training Mitigates Reward Hacking 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
Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication UAI 2025
Causal Information Prioritization for Efficient Reinforcement Learning ICLR 2025
Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning ICLR 2025
Firewall Routing: Blocking Leads to Better Hybrid Inference for LLMs EMNLP 2025
Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration CVPR 2025
Reducing Variance of Stochastic Optimization for Approximating Nash Equilibria in Normal-Form Games ICML 2025
SOLAMI: Social Vision-Language-Action Modeling for Immersive Interaction with 3D Autonomous Characters CVPR 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
SRA-MCTS: Self-driven Reasoning Augmentation with Monte Carlo Tree Search for Code Generation IJCAI 2025
High-Res Brain Source Imaging of MEG using a Vector Bayesian Beamformer with Noise learning MICCAI 2025
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own CORL 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
Imitation Learning from Observation with Automatic Discount Scheduling ICLR 2024
Can Transformers Capture Spatial Relations between Objects? ICLR 2024
Seer: Language Instructed Video Prediction with Latent Diffusion Models ICLR 2024
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules ICLR 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
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
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding SEMEVAL 2024
InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD NIPS 2024
Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024
Word Matters: What Influences Domain Adaptation in Summarization? ACL 2024
Any-point Trajectory Modeling for Policy Learning RSS 2024
OpenMSD: Towards Multilingual Scientific Documents Similarity Measurement COLING 2024
Bit_numeval at SemEval-2024 Task 7: Enhance Numerical Sensitivity and Reasoning Completeness for Quantitative Understanding NAACL 2024
Towards Explainable Evaluation Metrics for Machine Translation JMLR 2024
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection IJCAI 2024
Transformer Doctor: Diagnosing and Treating Vision Transformers NIPS 2024
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation CVPR 2024
Digital Life Project: Autonomous 3D Characters with Social Intelligence CVPR 2024
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation CVPR 2024
HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models CVPR 2024
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization ECCV 2024
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation ECCV 2024
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data ICML 2024
Safe and Robust Subgame Exploitation in Imperfect Information Games ICML 2024
START: A Generalized State Space Model with Saliency-Driven Token-Aware Transformation NIPS 2024
SCaR: Refining Skill Chaining for Long-Horizon Robotic Manipulation via Dual Regularization NIPS 2024
CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling EMNLP 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
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks NIPS 2024
General Flow as Foundation Affordance for Scalable Robot Learning CORL 2024
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 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
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient AAAI 2023
Graph vs. Sequence: An Empirical Study on Knowledge Forms for Knowledge-Grounded Dialogue EMNLP 2023
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics IJCNLP 2023
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023
Maximum Entropy Population-Based Training for Zero-Shot Human-AI Coordination AAAI 2023
Programmatically Grounded, Compositionally Generalizable Robotic Manipulation ICLR 2023
Become a Proficient Player with Limited Data through Watching Pure Videos ICLR 2023
A Universal Semantic-Geometric Representation for Robotic Manipulation CORL 2023
Orthogonal Annotation Benefits Barely-Supervised Medical Image Segmentation CVPR 2023
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery CVPR 2023
Predictive Inference with Feature Conformal Prediction ICLR 2023
SpeedyZero: Mastering Atari with Limited Data and Time ICLR 2023
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization ICCV 2023
Policy Contrastive Imitation Learning ICML 2023
TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023
DePA: Improving Non-autoregressive Translation with Dependency-Aware Decoder ACL 2023
For Pre-Trained Vision Models in Motor Control, Not All Policy Learning Methods are Created Equal ICML 2023
Decision Transformer under Random Frame Dropping ICLR 2023
Efficient Subgame Refinement for Extensive-form Games NIPS 2023
A Policy Optimization Method Towards Optimal-time Stability CORL 2023
Modified Retrace for Off-Policy Temporal Difference Learning UAI 2023
The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics AACL 2023
Entity-Agnostic Representation Learning for Parameter-Efficient Knowledge Graph Embedding AAAI 2023
Spending Thinking Time Wisely: Accelerating MCTS with Virtual Expansions NIPS 2022
An Empirical Study on Disentanglement of Negative-free Contrastive Learning NIPS 2022
HuMMan: Multi-modal 4D Human Dataset for Versatile Sensing and Modeling ECCV 2022
EleGANt: Exquisite and Locally Editable GAN for Makeup Transfer ECCV 2022
MVDG: A Unified Multi-View Framework for Domain Generalization ECCV 2022
Semantic-Aware Fine-Grained Correspondence ECCV 2022
CYBORGS: Contrastively Bootstrapping Object Representations by Grounding in Segmentation ECCV 2022
Resolving Copycat Problems in Visual Imitation Learning via Residual Action Prediction ECCV 2022
Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion IJCAI 2022
LaSSL: Label-Guided Self-Training for Semi-supervised Learning AAAI 2022
Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming ICML 2022
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning NIPS 2022
Individual Reward Assisted Multi-Agent Reinforcement Learning ICML 2022
PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization COLING 2022
ST++: Make Self-Training Work Better for Semi-Supervised Semantic Segmentation CVPR 2022
Planning for Sample Efficient Imitation Learning NIPS 2022
Keyframe-Focused Visual Imitation Learning ICML 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
Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation CVPR 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
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
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems ICLR 2020
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation Evaluation ACL 2020
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020
SetConv: A New Approach for Learning from Imbalanced Data EMNLP 2020
Fighting Copycat Agents in Behavioral Cloning from Observation Histories NIPS 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
Interactive Text-to-Speech System via Joint Style Analysis INTERSPEECH 2020
Biased Feature Learning for Occlusion Invariant Face Recognition IJCAI 2020
Learning Task-aware Local Representations for Few-shot Learning IJCAI 2020
Graph Neural Architecture Search IJCAI 2020
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020
Asymmetric Distribution Measure for Few-shot Learning IJCAI 2020
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization ACL 2020
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition ECCV 2020
NAS-FCOS: Fast Neural Architecture Search for Object Detection CVPR 2020
Multistream Classification with Relative Density Ratio Estimation AAAI 2019
Concept Pointer Network for Abstractive Summarization 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
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning CVPR 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
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation NAACL 2019
Does My Rebuttal Matter? Insights from a Major NLP Conference NAACL 2019
Better Rewards Yield Better Summaries: Learning to Summarise Without References EMNLP 2019
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification ICCV 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
Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017
End-To-End Learning of Driving Models From Large-Scale Video Datasets CVPR 2017
Generalized Orderless Pooling Performs Implicit Salient Matching ICCV 2017
Compact Bilinear Pooling CVPR 2016
Potential Based Reward Shaping for Hierarchical Reinforcement Learning IJCAI 2015
Multi-layered Gesture Recognition with Kinect JMLR 2015
Aligning English Strings with Abstract Meaning Representation Graphs EMNLP 2014
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis CVPR 2014
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso CVPR 2013
Deceptive Answer Prediction with User Preference Graph ACL 2013
Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation EMNLP 2011