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Mingxuan Yuan

41 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

NeurIPS ×10ICML ×9ICLR ×7ACL ×4IJCAI ×3SIGKDD ×3AAAI ×2EMNLP ×1ICDE ×1WWW ×1

Frequent coauthors

Zhihai Wang
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Fei Liu
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Zijie Geng
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Zehua Pei
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Zehua Liu
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Bowei He
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Xiangyu Dong
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Zhi Zheng
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Ruizhe Zhong
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Yu Zhang
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Pengxiang Zhao
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Yinqi Bai
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Papers

  1. Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
    ACL 2026 ·
    Zehua Pei
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  2. DiLA: Enhancing LLM Tool Learning with Differential Logic Layer
    SIGKDD 2026 ·
    Yu Zhang
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  3. EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
    AAAI 2026 ·
    Fei Liu
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  4. RIFT: Repurposing Negative Samples via Reward-Informed Fine-Tuning
    ACL 2026 ·
    Zehua Liu
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  5. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
    ACL 2026 ·
    Pengxiang Zhao
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  6. A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
    ICLR 2025 ·
    Yinqi Bai
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  7. A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
    IJCAI 2025 ·
    Ziyang Xiao
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  8. Accelerating Large Language Model Reasoning via Speculative Search
    ICML 2025 ·
    Zhihai Wang
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  9. Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
    NeurIPS 2025 ·
    Zijie Geng
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  10. AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
    NeurIPS 2025 ·
    Qingyue Yang
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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. Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
    ICLR 2025 ·
    Fu Luo
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  13. CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
    NeurIPS 2025 ·
    Pengyi Li
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  14. Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
    ICLR 2025 ·
    Bowei He
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  15. Circuit Transformer: A Transformer That Preserves Logical Equivalence
    ICLR 2025 ·
    Xihan Li
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  16. Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
    ICLR 2025 ·
    Zhihai Wang
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  17. Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
    NeurIPS 2025 ·
    Xiangyu Wen
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  18. High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
    NeurIPS 2025 ·
    Xilin Xia
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  19. HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
    ICML 2025 ·
    Runquan Gui
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  20. KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
    ICML 2025 ·
    Xing Li
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  21. LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
    ICLR 2025 ·
    Zijie Geng
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  22. LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
    EMNLP 2025 ·
    Zehua Liu
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  23. Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
    NeurIPS 2025 ·
    Bowei He
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  24. Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
    ACL 2025 ·
    Shuqi Liu
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  25. SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
    WWW 2025 ·
    Xiangyu Dong
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  26. SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
    ICLR 2025 ·
    Xiangyu Dong
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  27. The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
    IJCAI 2025 ·
    Reza Moravej
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  28. A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
    ICML 2024 ·
    Zhihai Wang
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  29. A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
    ICML 2024 ·
    Zhihai Wang
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  30. BetterV: Controlled Verilog Generation with Discriminative Guidance
    ICML 2024 ·
    Zehua Pei
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  31. DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
    ICML 2024 ·
    Zhi Zheng
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  32. Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
    ICML 2024 ·
    Fei Liu
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  33. FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
    NeurIPS 2024 ·
    Ruizhe Zhong
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  34. GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
    SIGKDD 2024 ·
    Zhanguang Zhang
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  35. Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems
    ICDE 2024 ·
    Kecheng Huang
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  36. Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
    SIGKDD 2024 ·
    Fei Liu
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  37. 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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  38. Prompt Learning for Generalized Vehicle Routing
    IJCAI 2024 ·
    Fei Liu
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  39. Reinforcement Learning within Tree Search for Fast Macro Placement
    ICML 2024 ·
    Zijie Geng
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  40. Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
    NeurIPS 2024 ·
    Zhihai Wang
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  41. UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
    NeurIPS 2024 ·
    Zhi Zheng
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