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Yong Yu

64 papers · 2008–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (18) πŸƒ Academic Marathon (17) 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (52) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ—ƒοΈ Keyword Collector (253) πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ”₯ Unstoppable (10) ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (63)

Conferences

AAAI (11) ACL (10) IJCAI (8) NIPS (7) EMNLP (6) ICLR (6) ICML (6) IJCNLP (3) JMLR (3) COLING (2) AISTATS (1) NAACL (1)

Top co-authors

Weinan Zhang (53) Ruiming Tang (9) Lin Qiu (9) Jun Wang (9) Jian Shen (8) Hao Zhou (8) Lei Li (7) Kounianhua Du (6) Xinyi Dai (6) Yasheng Wang (5)

Research topics

Education (2)

Keywords

reinforcement learning (8) transfer learning (5) model-based reinforcement learning (4) recommender system (4) policy optimization (4) policy gradient (4) neural machine translation (4) multi-agent system (4) code generation (4) graph neural network (4) sample efficiency (3) domain adaptation (3) unsupervised learning (3) multi-agent reinforcement learning (2) offline reinforcement learning (2) neural architecture search (2) text generation (2) named entity recognition (2) paraphrase generation (2) sequence generation (2)

Papers

Offline Fictitious Self-Play for Competitive Games AAAI 2026
Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning ACL 2025
CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025
Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs AAAI 2025
DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation ACL 2025
NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging EMNLP 2025
Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation ACL 2025
Large Language Models are Demonstration Pre-Selectors for Themselves ICML 2025
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation EMNLP 2025
MADiff: Offline Multi-agent Learning with Diffusion Models NIPS 2024
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation AAAI 2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning JMLR 2023
Lending Interaction Wings to Recommender Systems with Conversational Agents NIPS 2023
Adaptation Augmented Model-based Policy Optimization JMLR 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling AAAI 2023
Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022
Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning NIPS 2022
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection AAAI 2022
Nested Named Entity Recognition with Span-level Graphs ACL 2022
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation COLING 2022
Inductive Relation Prediction Using Analogy Subgraph Embeddings ICLR 2022
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization ICML 2022
Universal Trading for Order Execution with Oracle Policy Distillation AAAI 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks IJCAI 2021
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery ICLR 2021
On Effective Scheduling of Model-based Reinforcement Learning NIPS 2021
Learning Logic Rules for Document-Level Relation Extraction EMNLP 2021
Glancing Transformer for Non-Autoregressive Neural Machine Translation ACL 2021
Glancing Transformer for Non-Autoregressive Neural Machine Translation IJCNLP 2021
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020
Towards Making the Most of BERT in Neural Machine Translation AAAI 2020
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020
Efficient Spectrum-Revealing CUR Matrix Decomposition AISTATS 2020
Efficient Projection-free Algorithms for Saddle Point Problems NIPS 2020
Multi-Agent Interactions Modeling with Correlated Policies ICLR 2020
Bidirectional Model-based Policy Optimization ICML 2020
Model-based Policy Optimization with Unsupervised Model Adaptation NIPS 2020
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder IJCAI 2020
Improving Knowledge Tracing via Pre-training Question Embeddings IJCAI 2020
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search IJCAI 2020
Efficient and Robust High-Dimensional Linear Contextual Bandits IJCAI 2020
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport AAAI 2019
Lipschitz Generative Adversarial Nets ICML 2019
Exploring Diverse Expressions for Paraphrase Generation EMNLP 2019
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient AAAI 2019
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space IJCAI 2019
Exploring Diverse Expressions for Paraphrase Generation IJCNLP 2019
Dynamically Fused Graph Network for Multi-hop Reasoning ACL 2019
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods ICLR 2019
Deep Recurrent Survival Analysis AAAI 2019
Activation Maximization Generative Adversarial Nets ICLR 2018
Path-Level Network Transformation for Efficient Architecture Search ICML 2018
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition NAACL 2018
Learning to Design Games: Strategic Environments in Reinforcement Learning IJCAI 2018
Aggregating Crowd Wisdoms with Label-aware Autoencoders IJCAI 2017
Context-Dependent Sense Embedding EMNLP 2016
General Functional Matrix Factorization Using Gradient Boosting ICML 2013
SVDFeature: A Toolkit for Feature-based Collaborative Filtering JMLR 2012
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb ACL 2009
Heterogeneous Transfer Learning for Image Clustering via the SocialWeb IJCNLP 2009
Searching Questions by Identifying Question Topic and Question Focus ACL 2008
A Probabilistic Model for Fine-Grained Expert Search ACL 2008
Understanding and Summarizing Answers in Community-Based Question Answering Services COLING 2008
Translated Learning: Transfer Learning across Different Feature Spaces NIPS 2008