Mingxuan Yuan

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

DBLP profile ↗ORCID 0000-0002-2236-8784 ↗Homepage ↗

Venues

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

Frequent coauthors

Jianye Hao

×18

Jie Wang

×13

Feng Wu

×12

Zhihai Wang

×10

Hui-Ling Zhen

×9

Xialiang Tong

×7

Xing Li

×7

Lei Chen

×7

Zhentao Tang

×6

Zhenkun Wang

×6

Qingfu Zhang

×5

Shixiong Kai

×5

Papers

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
ACL 2026 ·
Zehua Pei
,
Hui-Ling Zhen
,
Lancheng Zou
,
Xianzhi Yu
,
Wulong Liu
,
Sinno Jialin Pan
, Mingxuan Yuan,
Bei Yu
DiLA: Enhancing LLM Tool Learning with Differential Logic Layer
SIGKDD 2026 ·
Yu Zhang
,
Hui-Ling Zhen
,
Zehua Pei
,
Yingzhao Lian
,
Lihao Yin
, Mingxuan Yuan,
Bei Yu
EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design
AAAI 2026 ·
Fei Liu
,
Yilu Liu
,
Qingfu Zhang
,
Xialiang Tong
, Mingxuan Yuan
RIFT: Repurposing Negative Samples via Reward-Informed Fine-Tuning
ACL 2026 ·
Zehua Liu
,
Shuqi Liu
,
Tao Zhong
, Mingxuan Yuan
Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
ACL 2026 ·
Pengxiang Zhao
,
Hui-Ling Zhen
,
Xing Li
,
Han Bao
,
Weizhe Lin
,
Zhiyuan Yang
,
Yu Zi Wei
,
Xin Wang
, Mingxuan Yuan,
Xianzhi Yu
,
Zhenhua Dong
A Graph Enhanced Symbolic Discovery Framework For Efficient Logic Optimization
ICLR 2025 ·
Yinqi Bai
,
Jie Wang
,
Lei Chen
,
Zhihai Wang
,
Yufei Kuang
, Mingxuan Yuan,
Jianye Hao
,
Feng Wu
A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions
IJCAI 2025 ·
Ziyang Xiao
,
Jingrong Xie
,
Lilin Xu
,
Shisi Guan
,
Jingyan Zhu
,
Xiongwei Han
,
Xiaojin Fu
,
WingYin Yu
,
Han Wu
,
Wei Shi
,
Qingcan Kang
,
Jiahui Duan
,
Tao Zhong
, Mingxuan Yuan,
Jia Zeng
,
Yuan Wang
,
Gang Chen
,
Dongxiang Zhang
Accelerating Large Language Model Reasoning via Speculative Search
ICML 2025 ·
Zhihai Wang
,
Jie Wang
,
Jilai Pan
,
Xilin Xia
,
Huiling Zhen
, Mingxuan Yuan,
Jianye Hao
,
Feng Wu
Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference
NeurIPS 2025 ·
Zijie Geng
,
Jie Wang
,
Ziqi Liu
,
Feng Ju
,
Yiming Li
,
Xing Li
, Mingxuan Yuan,
Jianye Hao
,
Defu Lian
,
Enhong Chen
,
Feng Wu
AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
NeurIPS 2025 ·
Qingyue Yang
,
Jie Wang
,
Xing Li
,
Zhihai Wang
,
Chen Chen
,
Lei Chen
,
Xianzhi Yu
,
Wulong Liu
,
Jianye Hao
, Mingxuan Yuan,
Bin Li
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms
NeurIPS 2025 ·
Zhihai Wang
,
Zijie Geng
,
Zhaojie Tu
,
Jie Wang
,
Yuxi Qian
,
Zhexuan Xu
,
Ziyan Liu
,
Siyuan Xu
,
Zhentao Tang
,
Shixiong Kai
, Mingxuan Yuan,
Jianye Hao
,
Bin Li
,
Feng Wu
Boosting Neural Combinatorial Optimization for Large-Scale Vehicle Routing Problems
ICLR 2025 ·
Fu Luo
,
Xi Lin
,
Yaoxin Wu
,
Zhenkun Wang
,
Xialiang Tong
, Mingxuan Yuan,
Qingfu Zhang
CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning
NeurIPS 2025 ·
Pengyi Li
,
Shixiong Kai
,
Jianye Hao
,
Ruizhe Zhong
,
Hongyao Tang
,
Zhentao Tang
, Mingxuan Yuan,
Junchi Yan
Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks
ICLR 2025 ·
Bowei He
,
Lihao Yin
,
Hui-Ling Zhen
,
Jianping Zhang
,
Lanqing Hong
, Mingxuan Yuan,
Chen Ma
Circuit Transformer: A Transformer That Preserves Logical Equivalence
ICLR 2025 ·
Xihan Li
,
Xing Li
,
Lei Chen
,
Xing Zhang
, Mingxuan Yuan,
Jun Wang
Computing Circuits Optimization via Model-Based Circuit Genetic Evolution
ICLR 2025 ·
Zhihai Wang
,
Jie Wang
,
Xilin Xia
,
Dongsheng Zuo
,
Lei Chen
,
Yuzhe Ma
,
Jianye Hao
, Mingxuan Yuan,
Feng Wu
Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding
NeurIPS 2025 ·
Xiangyu Wen
,
Min Li
,
Junhua Huang
,
Jianyuan Zhong
,
Zhijian Xu
,
Zeju Li
,
Yongxiang Huang
, Mingxuan Yuan,
Qiang Xu
High-Performance Arithmetic Circuit Optimization via Differentiable Architecture Search
NeurIPS 2025 ·
Xilin Xia
,
Jie Wang
,
Wanbo Zhang
,
Zhihai Wang
, Mingxuan Yuan,
Jianye Hao
,
Feng Wu
HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking
ICML 2025 ·
Runquan Gui
,
Zhihai Wang
,
Jie Wang
,
Chi Ma
,
Huiling Zhen
, Mingxuan Yuan,
Jianye Hao
,
Defu Lian
,
Enhong Chen
,
Feng Wu
KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
ICML 2025 ·
Xing Li
,
Zeyu Xing
,
Yiming Li
,
Linping Qu
,
Hui-Ling Zhen
,
Yiwu Yao
,
Wulong Liu
,
Sinno Jialin Pan
, Mingxuan Yuan
LaMPlace: Learning to Optimize Cross-Stage Metrics in Macro Placement
ICLR 2025 ·
Zijie Geng
,
Jie Wang
,
Ziyan Liu
,
Siyuan Xu
,
Zhentao Tang
,
Shixiong Kai
, Mingxuan Yuan,
Jianye Hao
,
Feng Wu
LoRE-Merging: Exploring Low-Rank Estimation For Large Language Model Merging
EMNLP 2025 ·
Zehua Liu
,
Han Wu
,
Yuxuan Yao
,
Xiaojin Fu
,
Ruifeng She
,
Xiongwei Han
,
Tao Zhong
, Mingxuan Yuan
Preserving LLM Capabilities through Calibration Data Curation: From Analysis to Optimization
NeurIPS 2025 ·
Bowei He
,
Lihao Yin
,
Hui-Ling Zhen
,
Shuqi Liu
,
Han Wu
,
Xiaokun Zhang
, Mingxuan Yuan,
Chen Ma
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
ACL 2025 ·
Shuqi Liu
,
Han Wu
,
Bowei He
,
Xiongwei Han
, Mingxuan Yuan,
Linqi Song
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection
WWW 2025 ·
Xiangyu Dong
,
Xingyi Zhang
,
Yanni Sun
,
Lei Chen
, Mingxuan Yuan,
Sibo Wang
SpaceGNN: Multi-Space Graph Neural Network for Node Anomaly Detection with Extremely Limited Labels
ICLR 2025 ·
Xiangyu Dong
,
Xingyi Zhang
,
Lei Chen
, Mingxuan Yuan,
Sibo Wang
The Graph's Apprentice: Teaching an LLM Low-Level Knowledge for Circuit Quality Estimation
IJCAI 2025 ·
Reza Moravej
,
Saurabh Bodhe
,
Zhanguang Zhang
,
Didier Chételat
,
Dimitrios Tsaras
,
Yingxue Zhang
,
Hui-Ling Zhen
,
Jianye Hao
, Mingxuan Yuan
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
ICML 2024 ·
Zhihai Wang
,
Lei Chen
,
Jie Wang
,
Yinqi Bai
,
Xing Li
,
Xijun Li
, Mingxuan Yuan,
Jianye Hao
,
Yongdong Zhang
,
Feng Wu
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
ICML 2024 ·
Zhihai Wang
,
Jie Wang
,
Dongsheng Zuo
,
Yunjie Ji
,
Xilin Xia
,
Yuzhe Ma
,
Jianye Hao
, Mingxuan Yuan,
Yongdong Zhang
,
Feng Wu
BetterV: Controlled Verilog Generation with Discriminative Guidance
ICML 2024 ·
Zehua Pei
,
Hui-Ling Zhen
, Mingxuan Yuan,
Yu Huang
,
Bei Yu
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems
ICML 2024 ·
Zhi Zheng
,
Shunyu Yao
,
Zhenkun Wang
,
Xialiang Tong
, Mingxuan Yuan,
Ke Tang
Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
ICML 2024 ·
Fei Liu
,
Xialiang Tong
, Mingxuan Yuan,
Xi Lin
,
Fu Luo
,
Zhenkun Wang
,
Zhichao Lu
,
Qingfu Zhang
FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation
NeurIPS 2024 ·
Ruizhe Zhong
,
Xingbo Du
,
Shixiong Kai
,
Zhentao Tang
,
Siyuan Xu
,
Jianye Hao
, Mingxuan Yuan,
Junchi Yan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
SIGKDD 2024 ·
Zhanguang Zhang
,
Didier Chételat
,
Joseph Cotnareanu
,
Amur Ghose
,
Wenyi Xiao
,
Hui-Ling Zhen
,
Yingxue Zhang
,
Jianye Hao
,
Mark Coates
, Mingxuan Yuan
Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems
ICDE 2024 ·
Kecheng Huang
,
Xijun Li
, Mingxuan Yuan,
Ji Zhang
,
Zili Shao
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization
SIGKDD 2024 ·
Fei Liu
,
Xi Lin
,
Zhenkun Wang
,
Qingfu Zhang
,
Xialiang Tong
, Mingxuan Yuan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
AAAI 2024 ·
Ruizhe Zhong
,
Junjie Ye
,
Zhentao Tang
,
Shixiong Kai
, Mingxuan Yuan,
Jianye Hao
,
Junchi Yan
Prompt Learning for Generalized Vehicle Routing
IJCAI 2024 ·
Fei Liu
,
Xi Lin
,
Weiduo Liao
,
Zhenkun Wang
,
Qingfu Zhang
,
Xialiang Tong
, Mingxuan Yuan
Reinforcement Learning within Tree Search for Fast Macro Placement
ICML 2024 ·
Zijie Geng
,
Jie Wang
,
Ziyan Liu
,
Siyuan Xu
,
Zhentao Tang
, Mingxuan Yuan,
Jianye Hao
,
Yongdong Zhang
,
Feng Wu
Towards Next-Generation Logic Synthesis: A Scalable Neural Circuit Generation Framework
NeurIPS 2024 ·
Zhihai Wang
,
Jie Wang
,
Qingyue Yang
,
Yinqi Bai
,
Xing Li
,
Lei Chen
,
Jianye Hao
, Mingxuan Yuan,
Bin Li
,
Yongdong Zhang
,
Feng Wu
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems
NeurIPS 2024 ·
Zhi Zheng
,
Changliang Zhou
,
Xialiang Tong
, Mingxuan Yuan,
Zhenkun Wang