YAN ZHENG

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