Mingxuan Yuan

32 papers · 2020–2026 · 7 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (7) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)

🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🏆 Grand Slam 🤝 Dynamic Duo (13) 💎 Century Club (29) 🗃️ Keyword Collector (61) ⚡ Prolific Year (11)

Conferences

ICLR (9) ICML (9) NIPS (4) AAAI (3) ACL (3) IJCAI (3) EMNLP (1)

Top co-authors

Jianye Hao (13) Jie Wang (10) Feng Wu (10) Zhihai Wang (8) Lei Chen (7) Tong Xialiang (5) Zhenkun Wang (5) Yongdong Zhang (5) Xing Li (5) Hui-Ling Zhen (4)

Keywords

graph neural network (3) large language model (3) hardware design (2) vehicle routing (2) combinatorial optimization (2) evolutionary algorithm (2) neural combinatorial optimization (2) model merging (2) logic synthesis (2) knowledge distillation (1) hierarchical reinforcement learning (1) tensor decomposition (1) message passing (1) time series forecasting (1) decision making (1) post-training quantization (1) neural network optimization (1) benchmark dataset (1) prompt learning (1) large-scale optimization (1)

Papers

EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design AAAI 2026 Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats ACL 2026 Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis ACL 2026 Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks ICLR 2025 Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models ACL 2025 LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging EMNLP 2025 Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems ICLR 2025 LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement ICLR 2025 Computing Circuits Optimization via Model-Based Circuit Genetic Evolution ICLR 2025 A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization ICLR 2025 SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels ICLR 2025 Circuit Transformer: A Transformer That Preserves Logical Equivalence ICLR 2025 HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking ICML 2025 KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference ICML 2025 Accelerating Large Language Model Reasoning via Speculative Search ICML 2025 The Graph’s Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation IJCAI 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NIPS 2024 Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework NIPS 2024 Prompt Learning for Generalized Vehicle Routing IJCAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024 BetterV: Controlled Verilog Generation with Discriminative Guidance ICML 2024 A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design ICML 2024 Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model ICML 2024 Reinforcement Learning within Tree Search for Fast Macro Placement ICML 2024 A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design ICML 2024 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems ICML 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs ICLR 2023 A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems NIPS 2021 Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting AAAI 2020