PPaperPicks

Jianye Hao

88 papers at tracked venues · 76 at CORE A* · active 2024–2026

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Venues

NeurIPS ×22ICML ×19ICLR ×13AAAI ×8AAMAS ×5CVPR ×4IJCAI ×4ACL ×3SIGKDD ×3WWW ×3ICCV ×1ICRA ×1IROS ×1UAI ×1

Frequent coauthors

Zhihai Wang
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Pengyi Li
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Zijie Geng
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Zibin Dong
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Jiashun Liu
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Haoyang Liu
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Jingwei Wang
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Da Wang
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Yifu Yuan
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Longxin Kou
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Yibin Chen
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Jinyi Liu
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Papers

  1. AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search
    WWW 2026 ·
    Hebin Liang
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  2. AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search
    AAAI 2026 ·
    Yu Li
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  3. 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds
    ICLR 2025 ·
    Hengshuo Chu
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  4. A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
    ICLR 2025 ·
    Yinqi Bai
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  5. Accelerating Large Language Model Reasoning via Speculative Search
    ICML 2025 ·
    Zhihai Wang
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  6. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
    NeurIPS 2025 ·
    Zijie Geng
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  7. Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
    ICLR 2025 ·
    Haoyang Liu
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  8. AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
    NeurIPS 2025 ·
    Qingyue Yang
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  9. Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
    NeurIPS 2025 ·
    Zhihai Wang
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  10. Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples
    ICML 2025 ·
    Xize Liang
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  11. COLA: Towards Efficient Multi-Objective Reinforcement Learning with Conflict Objective Regularization in Latent Space
    NeurIPS 2025 ·
    Pengyi Li
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  12. CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
    NeurIPS 2025 ·
    Pengyi Li
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  13. Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
    ICLR 2025 ·
    Zhihai Wang
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  14. Conditioning Matters: Training Diffusion Policies is Faster Than You Think
    NeurIPS 2025 ·
    Zibin Dong
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  15. CoopRide: Cooperate All Grids in City-Scale Ride-Hailing Dispatching with Multi-Agent Reinforcement Learning
    SIGKDD 2025 ·
    Jingwei Wang
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  16. Differentiable Integer Linear Programming
    ICLR 2025 ·
    Zijie Geng
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  17. DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent
    ICLR 2025 ·
    Taiyi Wang
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  18. DualRAG: A Dual-Process Approach to Integrate Reasoning and Retrieval for Multi-Hop Question Answering
    ACL 2025 ·
    Rong Cheng
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  19. Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
    NeurIPS 2025 ·
    Mingxuan Ye
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  20. ET-Plan-Bench: Embodied Task-level Planning Benchmark Towards Spatial-Temporal Cognition with Foundation Models
    IROS 2025 ·
    Lingfeng Zhang
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  21. EchoTraffic: Enhancing Traffic Anomaly Understanding with Audio-Visual Insights
    CVPR 2025 ·
    Zhenghao Xing
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  22. Enhancing Graph-based Coordination with Evolutionary Algorithms for Episodic Multi-agent Reinforcement Learning
    AAMAS 2025 ·
    Kexing Peng
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  23. High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
    NeurIPS 2025 ·
    Xilin Xia
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  24. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
    ICML 2025 ·
    Runquan Gui
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  25. Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning
    AAAI 2025 ·
    Da Wang
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  26. LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
    ICLR 2025 ·
    Zijie Geng
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  27. LaRes: Evolutionary Reinforcement Learning with LLM-based Adaptive Reward Search
    NeurIPS 2025 ·
    Pengyi Li
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  28. Lightweight Neural App Control
    ICLR 2025 ·
    Filippos Christianos
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  29. LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-step Synthetic Logical Data
    NeurIPS 2025 ·
    Zehao Wang
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  30. MODULI: Unlocking Preference Generalization via Diffusion Models for Offline Multi-Objective Reinforcement Learning
    ICML 2025 ·
    Yifu Yuan
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  31. OptiTree: Hierarchical Thoughts Generation with Tree Search for LLM Optimization Modeling
    NeurIPS 2025 ·
    Haoyang Liu
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  32. R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
    ICML 2025 ·
    Pengyi Li
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  33. Reinforced In-Context Black-Box Optimization
    IJCAI 2025 ·
    Lei Song
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  34. RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-Horizon Robot Demonstration
    ICCV 2025 ·
    Longxin Kou
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  35. STAR: Learning Diverse Robot Skill Abstractions through Rotation-Augmented Vector Quantization
    ICML 2025 ·
    Hao Li
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  36. SWAMamba: A Sliding Window Attention Mamba Framework for Predicting Translation Elongation Rates
    AAAI 2025 ·
    Xi Zeng
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  37. SheetAgent: Towards a Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Models
    WWW 2025 ·
    Yibin Chen
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  38. Spa-Bench: a comprehensive Benchmark for Smartphone Agent Evaluation
    ICLR 2025 ·
    Jingxuan Chen
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  39. Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation
    CVPR 2025 ·
    Qi Lv
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  40. Succeed or Learn Slowly: Sample Efficient Off-Policy Reinforcement Learning for Mobile App Control
    NeurIPS 2025 ·
    Georgios Papoudakis
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  41. The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
    IJCAI 2025 ·
    Reza Moravej
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  42. Trajectory World Models for Heterogeneous Environments
    ICML 2025 ·
    Shaofeng Yin
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  43. Uncertainty-quantified Rollout Policy Adaptation for Unlabelled Cross-domain Video Temporal Grounding
    NeurIPS 2025 ·
    Jian Hu
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  44. War of Thoughts: Competition Stimulates Stronger Reasoning in Large Language Models
    ACL 2025 ·
    Yibin Chen
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  45. A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
    ICML 2024 ·
    Zhihai Wang
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  46. A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
    ICML 2024 ·
    Zhihai Wang
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  47. A Trajectory Perspective on the Role of Data Sampling Techniques in Offline Reinforcement Learning
    AAMAS 2024 ·
    Jinyi Liu
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  48. A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning
    AAAI 2024 ·
    Tianpei Yang
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  49. AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
    ICLR 2024 ·
    Zibin Dong
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  50. CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making
    NeurIPS 2024 ·
    Zibin Dong
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  51. DiffuserLite: Towards Real-time Diffusion Planning
    NeurIPS 2024 ·
    Zibin Dong
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  52. DyPS: Dynamic Parameter Sharing in Multi-Agent Reinforcement Learning for Spatio-Temporal Resource Allocation
    SIGKDD 2024 ·
    Jingwei Wang
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  53. ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
    AAMAS 2024 ·
    Kai Zhao
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  54. ENOTO: Improving Offline-to-Online Reinforcement Learning with Q-Ensembles
    IJCAI 2024 ·
    Kai Zhao
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  55. EWEK-QA : Enhanced Web and Efficient Knowledge Graph Retrieval for Citation-based Question Answering Systems
    ACL 2024 ·
    Mohammad Dehghan
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  56. EvoRainbow: Combining Improvements in Evolutionary Reinforcement Learning for Policy Search
    ICML 2024 ·
    Pengyi Li
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  57. FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
    NeurIPS 2024 ·
    Ruizhe Zhong
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  58. Generate Subgoal Images Before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
    CVPR 2024 ·
    Fei Ni
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  59. GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
    SIGKDD 2024 ·
    Zhanguang Zhang
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  60. HarmonyDream: Task Harmonization Inside World Models
    ICML 2024 ·
    Haoyu Ma
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  61. Hybrid CtrlFormer: Learning Adaptive Search Space Partition for Hybrid Action Control via Transformer-based Monte Carlo Tree Search
    UAI 2024 ·
    Jiashun Liu
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  62. Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
    ICML 2024 ·
    Da Wang
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  63. Improving Unsupervised Hierarchical Representation With Reinforcement Learning
    CVPR 2024 ·
    Ruyi An
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  64. Iteratively Refined Behavior Regularization for Offline Reinforcement Learning
    NeurIPS 2024 ·
    Yi Ma
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  65. KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
    ICML 2024 ·
    Longxin Kou
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  66. Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
    AAAI 2024 ·
    Xiaotian Hao
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  67. OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments
    AAAI 2024 ·
    Jinyi Liu
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  68. PADDLE: Logic Program Guided Policy Reuse in Deep Reinforcement Learning
    AAMAS 2024 ·
    Hao Zhang
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  69. PERIA: Perceive, Reason, Imagine, Act via Holistic Language and Vision Planning for Manipulation
    NeurIPS 2024 ·
    Fei Ni
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  70. PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
    AAAI 2024 ·
    Jizhou Wu
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  71. PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
    AAAI 2024 ·
    Ruizhe Zhong
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  72. Reinforcement Learning within Tree Search for Fast Macro Placement
    ICML 2024 ·
    Zijie Geng
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  73. Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
    ICLR 2024 ·
    Yufei Kuang
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  74. Rethinking Decision Transformer via Hierarchical Reinforcement Learning
    ICML 2024 ·
    Yi Ma
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  75. Safe Table Tennis Swing Stroke with Low-Cost Hardware
    ICRA 2024 ·
    Francesco Cursi
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  76. Sample-Efficient Multiagent Reinforcement Learning with Reset Replay
    ICML 2024 ·
    Yaodong Yang
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  77. Sample-Efficient Quality-Diversity by Cooperative Coevolution
    ICLR 2024 ·
    Ke Xue
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  78. The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space
    NeurIPS 2024 ·
    Hongyao Tang
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  79. The MMO Economist: AI Empowers Robust, Healthy, and Sustainable P2W MMO Economies
    WWW 2024 ·
    Shiwei Zhao
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  80. Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
    ICML 2024 ·
    Yufei Kuang
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  81. Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
    NeurIPS 2024 ·
    Zhihai Wang
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  82. Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
    ICLR 2024 ·
    Yifu Yuan
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  83. Unlock the Cognitive Generalization of Deep Reinforcement Learning via Granular Ball Representation
    ICML 2024 ·
    Jiashun Liu
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  84. Unlock the Intermittent Control Ability of Model Free Reinforcement Learning
    NeurIPS 2024 ·
    Jiashun Liu
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  85. Value-Evolutionary-Based Reinforcement Learning
    ICML 2024 ·
    Pengyi Li
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  86. iVideoGPT: Interactive VideoGPTs are Scalable World Models
    NeurIPS 2024 ·
    Jialong Wu
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  87. vMFER: Von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement
    IJCAI 2024 ·
    Yiwen Zhu
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  88. vMFER: von Mises-Fisher Experience Resampling Based on Uncertainty of Gradient Directions for Policy Improvement of Actor-Critic Algorithms
    AAMAS 2024 ·
    Yiwen Zhu
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