← Authors

YAN ZHENG

56 papers · 2018–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (9) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (8) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (7) 🀝 Dynamic Duo (38) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) ❓ The Questioner ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (204) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (52)

Conferences

AAAI (11) IJCAI (10) ICLR (9) ICML (9) NIPS (7) ACL (3) ICCV (2) UAI (2) CVPR (1) EMNLP (1) WACV (1)

Top co-authors

Jianye Hao (38) Fei Ni (10) Yifu Yuan (10) Jinyi Liu (10) Hongyao Tang (9) Pengyi Li (9) Zhaopeng Meng (8) Zibin Dong (7) Yi Ma (7) Tianpei Yang (7)

Keywords

deep reinforcement learning (10) reinforcement learning (6) policy optimization (4) graph neural network (4) offline reinforcement learning (4) representation learning (4) large language model (4) multi-agent system (4) policy learning (4) multi-agent reinforcement learning (3) diffusion model (3) smart grid (2) energy management (2) transfer learning (2) flow model (2) evolutionary algorithm (2) policy transfer (2) trajectory generation (2) question answering (2) domain adaptation (2)

Papers

Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA AAAI 2026
P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning AAAI 2026
FlowMorph: Revealing an Optimizable Flow Latent Space for Controlled Image Morphing WACV 2026
Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models AAAI 2026
Key Decision-Makers in Multi-Agent Debates: Who Holds the Power? AAAI 2026
RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-horizon Robot Demonstration ICCV 2025
R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models ICML 2025
MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation ACL 2025
DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering ACL 2025
War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models ACL 2025
Enhancing Foundation Models in Transaction Understanding with LLM-based Sentence Embeddings EMNLP 2025
Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction IJCAI 2024
PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation NIPS 2024
Iteratively Refined Behavior Regularization for Offline Reinforcement Learning NIPS 2024
CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NIPS 2024
Unlock the Intermittent Control Ability of Model Free Reinforcement Learning NIPS 2024
DiffuserLite: Towards Real-time Diffusion Planning NIPS 2024
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning AAAI 2024
A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning AAAI 2024
Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts CVPR 2024
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model ICLR 2024
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback ICLR 2024
Enhancing Implicit Shape Generators Using Topological Regularizations ICML 2024
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations ICML 2024
Improving Neural Logic Machines via Failure Reflection ICML 2024
Value-Evolutionary-Based Reinforcement Learning ICML 2024
EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search ICML 2024
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering IJCAI 2024
ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles IJCAI 2024
Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search UAI 2024
RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution ICML 2023
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation IJCAI 2023
Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs IJCAI 2023
Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization ICLR 2023
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model ICLR 2023
Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023
ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation ICLR 2023
Neural Episodic Control with State Abstraction ICLR 2023
MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL ICML 2023
PAnDR: Fast Adaptation to New Environments from Offline Experiences via Decoupling Policy and Environment Representations IJCAI 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration ICML 2022
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence UAI 2022
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis NIPS 2022
Normalization of Language Embeddings for Cross-Lingual Alignment ICLR 2022
HyAR: Addressing Discrete-Continuous Action Reinforcement Learning via Hybrid Action Representation ICLR 2022
Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning IJCAI 2020
Continuous Multiagent Control Using Collective Behavior Entropy for Large-Scale Home Energy Management AAAI 2020
Accurate Structured-Text Spotting for Arithmetical Exercise Correction AAAI 2020
KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge IJCAI 2020
Stealthy and Efficient Adversarial Attacks against Deep Reinforcement Learning AAAI 2020
Large-Scale Home Energy Management Using Entropy-Based Collective Multiagent Deep Reinforcement Learning Framework IJCAI 2019
Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data ICCV 2019
Towards Efficient Detection and Optimal Response against Sophisticated Opponents IJCAI 2019
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents NIPS 2018