PPaperPicks

Feng Wu

University of Science and Technology of China, Hefei, China

49 papers at tracked venues · 45 at CORE A* · active 2024–2026

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Venues

ICLR ×11ICML ×10AAAI ×8NeurIPS ×8ACL ×3CVPR ×3IJCAI ×2ICCV ×1ICRA ×1MICCAI ×1SIGKDD ×1

Frequent coauthors

Zhihai Wang
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Zijie Geng
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Huayu Mai
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Wantong Xie
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Haoyang Liu
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Sijia Zhang
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Yufei Kuang
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Yinghao Chen
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Chuanbo Tang
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Shuli Zeng
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Qianyi Xu
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Yinqi Bai
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Papers

  1. Escaping the Sisyphus Dilemma: Experience Replay for Robust Text-to-Optimization Modeling
    ACL 2026 ·
    Wantong Xie
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  2. GOBench: Stage-Wise Diagnostics and the Visual Paradox in Multimodal Graph Optimization
    ACL 2026 ·
    Yinghao Chen
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  3. Neural Video Compression with Reference Hierarchy
    AAAI 2026 ·
    Chuanbo Tang
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  4. Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
    AAAI 2026 ·
    Shuli Zeng
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  5. medDreamer: Model-Based Reinforcement Learning with Latent Imagination on Complex EHRs for Clinical Decision Support
    SIGKDD 2026 ·
    Qianyi Xu
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  6. A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
    ICLR 2025 ·
    Yinqi Bai
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  7. Accelerating Large Language Model Reasoning via Speculative Search
    ICML 2025 ·
    Zhihai Wang
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  8. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
    NeurIPS 2025 ·
    Zijie Geng
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  9. Accurate and Scalable Graph Neural Networks via Message Invariance
    ICLR 2025 ·
    Zhihao Shi
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  10. Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
    ICLR 2025 ·
    Haoyang Liu
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  11. Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
    NeurIPS 2025 ·
    Zhihai Wang
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  12. Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
    ICLR 2025 ·
    Zhihai Wang
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  13. D-FINE: Redefine Regression Task of DETRs as Fine-grained Distribution Refinement
    ICLR 2025 ·
    Yansong Peng
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  14. Differentiable Integer Linear Programming
    ICLR 2025 ·
    Zijie Geng
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  15. Don't Restart, Just Reuse: Reoptimizing MILPs with Dynamic Parameters
    ICML 2025 ·
    Sijia Zhang
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  16. Dynamic Configuration for Cutting Plane Separators via Reinforcement Learning on Incremental Graph
    NeurIPS 2025 ·
    Mingxuan Ye
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  17. Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding
    ICML 2025 ·
    Yixin Zha
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  18. FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
    AAAI 2025 ·
    Yixiang Hu
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  19. GEM: Empowering MLLM for Grounded ECG Understanding with Time Series and Images
    NeurIPS 2025 ·
    Xiang Lan
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  20. Guiding Large Language Models in Modeling Optimization Problems via Question Partitioning
    IJCAI 2025 ·
    Xiaotian Pan
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  21. HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference
    ACL 2025 ·
    Ping Gong
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  22. High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
    NeurIPS 2025 ·
    Xilin Xia
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  23. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
    ICML 2025 ·
    Runquan Gui
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  24. Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models
    ICLR 2025 ·
    Hanzhu Chen
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  25. LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
    ICLR 2025 ·
    Zijie Geng
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  26. Learning to Select Nodes in Branch and Bound with Sufficient Tree Representation
    ICLR 2025 ·
    Sijia Zhang
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  27. MURKA: Multi-Reward Reinforcement Learning with Knowledge Alignment for Optimization Tasks
    NeurIPS 2025 ·
    Wantong Xie
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  28. ROPO: Robust Preference Optimization for Large Language Models
    ICML 2025 ·
    Xize Liang
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  29. Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
    AAAI 2025 ·
    Huayu Mai
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  30. Structure-Aware Correspondence Learning for Relative Pose Estimation
    CVPR 2025 ·
    Yihan Chen
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  31. TokenUnify: Scaling Up Autoregressive Pretraining for Neuron Segmentation
    ICCV 2025 ·
    Yinda Chen
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  32. A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
    ICML 2024 ·
    Zhihai Wang
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  33. A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
    ICML 2024 ·
    Zhihai Wang
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  34. Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
    ICLR 2024 ·
    Hong Wang
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  35. Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
    ICML 2024 ·
    Qitan Lv
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  36. Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation
    AAAI 2024 ·
    Naisong Luo
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  37. Improving Offline Reinforcement Learning with Inaccurate Simulators
    ICRA 2024 ·
    Yiwen Hou
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  38. Learning Large-Factor EM Image Super-Resolution with Generative Priors
    CVPR 2024 ·
    Jiateng Shou
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  39. Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing
    AAAI 2024 ·
    Qihua Chen
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  40. MILP-StuDio: MILP Instance Generation via Block Structure Decomposition
    NeurIPS 2024 ·
    Haoyang Liu
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  41. Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
    AAAI 2024 ·
    Huayu Mai
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  42. RankMatch: Exploring the Better Consistency Regularization for Semi-Supervised Semantic Segmentation
    CVPR 2024 ·
    Huayu Mai
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  43. Reinforcement Learning within Tree Search for Fast Macro Placement
    ICML 2024 ·
    Zijie Geng
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  44. Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework
    ICLR 2024 ·
    Yufei Kuang
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  45. SAM-Glomeruli: Enhanced Segment Anything Model for Precise Glomeruli Segmentation
    MICCAI 2024 ·
    Yujia Chen
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  46. Safety Constrained Multi-Agent Reinforcement Learning for Active Voltage Control
    IJCAI 2024 ·
    Yang Qu
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  47. Test-Time Adaptation via Style and Structure Guidance for Histological Image Registration
    AAAI 2024 ·
    Shenglong Zhou
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  48. Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph
    ICML 2024 ·
    Yufei Kuang
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  49. Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
    NeurIPS 2024 ·
    Zhihai Wang
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