← Authors

Yang Yu

141 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (12) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (25) 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (28) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (28) πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (67) πŸš€ Conference Pioneer ⚑ Prolific Year (6) ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (134) πŸ”₯ Unstoppable (11)

Conferences

AAAI (34) NIPS (28) IJCAI (25) ICML (19) ICLR (17) EMNLP (5) ACL (2) CVPR (2) IJCNLP (2) UAI (2) INTERSPEECH (1) JMLR (1) MICCAI (1) NAACL (1) OSDI (1)

Top co-authors

Zongzhang Zhang (30) Lei Yuan (17) Zhi-Hua Zhou (12) Chao Qian (12) Yi-Chen Li (11) Xiong-Hui Chen (11) Tian Xu (9) Chengxing Jia (9) Shengyi Jiang (8) Cong Guan (8)

Research topics

Reinforcement Learning (1) Applications (1) Statistics (1)

Keywords

reinforcement learning (12) representation learning (11) offline reinforcement learning (9) multi-agent reinforcement learning (8) imitation learning (7) policy learning (6) subset selection (6) contrastive learning (6) transfer learning (5) model-based reinforcement learning (5) sample efficiency (5) domain adaptation (5) large language model (5) greedy algorithm (4) self-supervised learning (4) news recommendation (4) adversarial learning (4) hyperparameter optimization (4) attention mechanism (4) multi-agent system (4)

Papers

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
An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies AAAI 2026
VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention AAAI 2025
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
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal 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
Pre-training General User Representation with Multi-type APP Behaviors IJCAI 2024
Imitation Learning from Imperfection: Theoretical Justifications and Algorithms NIPS 2023
A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges IJCAI 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
Fast Teammate Adaptation in the Presence of Sudden Policy Change UAI 2023
Provably Efficient Adversarial Imitation Learning with Unknown Transitions UAI 2023
Doubly Stochastic Graph-based Non-autoregressive Reaction Prediction IJCAI 2023
Model-Based Offline Weighted Policy Optimization (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
Anti-drifting Feature Selection via Deep Reinforcement Learning (Student Abstract) AAAI 2023
Learning Generalizable Batch Active Learning Strategies via Deep Q-networks (Student Abstract) AAAI 2023
Deep Anomaly Detection and Search via Reinforcement Learning (Student Abstract) AAAI 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers AAAI 2023
Policy-Independent Behavioral Metric-Based Representation for Deep Reinforcement Learning AAAI 2023
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense AAAI 2023
Natural Language Instruction-following with Task-related Language Development and Translation NIPS 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
CMMA: Benchmarking Multi-Affection Detection in Chinese Multi-Modal Conversations NIPS 2023
Multi-Agent Incentive Communication via Decentralized Teammate Modeling AAAI 2022
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation EMNLP 2022
Active Hierarchical Exploration with Stable Subgoal Representation Learning ICLR 2022
Learning Efficient Online 3D Bin Packing on Packing Configuration Trees ICLR 2022
Context-Aware Sparse Deep Coordination Graphs ICLR 2022
Distributed Bootstrap for Simultaneous Inference Under High Dimensionality JMLR 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
Efficient Multi-agent Communication via Self-supervised Information Aggregation NIPS 2022
Efficient Multi-Agent Communication via Shapley Message Value IJCAI 2022
Invariant Action Effect Model for Reinforcement Learning AAAI 2022
Multi-Agent Concentrative Coordination with Decentralized Task Representation IJCAI 2022
Adapt to Environment Sudden Changes by Learning a Context Sensitive Policy AAAI 2022
Adaptive Online Packing-guided Search for POMDPs NIPS 2021
QPLEX: Duplex Dueling Multi-Agent Q-Learning ICLR 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation IJCNLP 2021
LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021
Incorporating Bidirection-Interactive Information and Semantic Features for Relational Facts Extraction (Student Abstract) AAAI 2021
Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021
Regret Minimization Experience Replay in Off-Policy Reinforcement Learning NIPS 2021
Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints IJCAI 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
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation ACL 2021
Offline Model-based Adaptable Policy Learning NIPS 2021
Cross-modal Domain Adaptation for Cost-Efficient Visual Reinforcement Learning NIPS 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application EMNLP 2021
Simultaneous Inference for Massive Data: Distributed Bootstrap ICML 2020
Offline Imitation Learning with a Misspecified Simulator NIPS 2020
RetroXpert: Decompose Retrosynthesis Prediction Like A Chemist NIPS 2020
Error Bounds of Imitating Policies and Environments NIPS 2020
An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints AAAI 2020
On Reinforcement Learning for Full-Length Game of StarCraft AAAI 2019
Bridging Machine Learning and Logical Reasoning by Abductive Learning NIPS 2019
Out-of-Domain Detection for Low-Resource Text Classification Tasks IJCNLP 2019
Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion AAAI 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 EMNLP 2019
Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning AAAI 2019
Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018
Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection IJCAI 2018
Experienced Optimization with Reusable Directional Model for Hyper-Parameter Search IJCAI 2018
Mixture of GANs for Clustering IJCAI 2018
Towards Sample Efficient Reinforcement Learning IJCAI 2018
Multi-Layered Gradient Boosting Decision Trees NIPS 2018
Subset Selection under Noise NIPS 2017
AGRA: An Analysis-Generation-Ranking Framework for Automatic Abbreviation from Paper Titles IJCAI 2017
Binary Linear Compression for Multi-label Classification IJCAI 2017
Open Category Classification by Adversarial Sample Generation IJCAI 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
User Embedding for Scholarly Microblog Recommendation ACL 2016
Derivative-Free Optimization of High-Dimensional Non-Convex Functions by Sequential Random Embeddings IJCAI 2016
Parallel Pareto Optimization for Subset Selection 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