Mingxuan Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 128

Top Venues

Publications

Fei Liu, Xi Lin, Weiduo Liao, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Prompt Learning for Generalized Vehicle Routing. CoRR (2024)
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. CoRR (2024)
Zhi Zheng, Shunyu Yao, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Ke Tang
DPN: Decoupling Partition and Navigation for Neural Solvers of Min-max Vehicle Routing Problems. CoRR (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. KDD (2024)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Xi Lin, Fu Luo, Zhenkun Wang, Zhichao Lu, Qingfu Zhang
An Example of Evolutionary Computation + Large Language Model Beating Human: Design of Efficient Guided Local Search. CoRR (2024)
Zhanguang Zhang, Didier Chételat, Joseph Cotnareanu, Amur Ghose, Wenyi Xiao, Hui-Ling Zhen, Yingxue Zhang, Jianye Hao, Mark Coates, Mingxuan Yuan
GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection. CoRR (2024)
Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR (2024)
Fei Liu, Xi Lin, Zhenkun Wang, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. KDD (2024)
Ruizhe Zhong, Junjie Ye, Zhentao Tang, Shixiong Kai, Mingxuan Yuan, Jianye Hao, Junchi Yan
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling. AAAI (2024)
Zehua Pei, Hui-Ling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu
BetterV: Controlled Verilog Generation with Discriminative Guidance. CoRR (2024)
Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu, Hui-Ling Zhen, Jianye Hao, Qiang Xu, Mingxuan Yuan, Junchi Yan
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation. CoRR (2024)
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, Yongdong Zhang, Feng Wu
Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms. CoRR (2024)
Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR (2024)
Tianji Liu, Lei Chen, Xing Li, Mingxuan Yuan, Evangeline F. Y. Young
FineMap: A Fine-grained GPU-parallel LUT Mapping Engine. ASPDAC (2024)
Yu Zhang, Hui-Ling Zhen, Zehua Pei, Yingzhao Lian, Lihao Yin, Mingxuan Yuan, Bei Yu
SoLA: Solver-Layer Adaption of LLM for Better Logic Reasoning. CoRR (2024)
Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate. CoRR (2024)
Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
EDA-Driven Preprocessing for SAT Solving. CoRR (2024)
Zhi Zheng, Changliang Zhou, Xialiang Tong, Mingxuan Yuan, Zhenkun Wang
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems. CoRR (2024)
Kecheng Huang, Xijun Li, Mingxuan Yuan, Ji Zhang, Zili Shao
Joint Directory, File and IO Trace Feature Extraction and Feature-based Trace Regeneration for Enterprise Storage Systems. ICDE (2024)
Tsz Ho Chan, Wenyi Xiao, Junhua Huang, Hui-Ling Zhen, Guangji Tian, Mingxuan Yuan
IB-Net: Initial Branch Network for Variable Decision in Boolean Satisfiability. CoRR (2024)
Fu Luo, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Self-Improved Learning for Scalable Neural Combinatorial Optimization. CoRR (2024)
Xufeng Yao, Haoyang Li, Tsz Ho Chan, Wenyi Xiao, Mingxuan Yuan, Yu Huang, Lei Chen, Bei Yu
HDLdebugger: Streamlining HDL debugging with Large Language Models. CoRR (2024)
Fei Liu, Xi Lin, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Multi-Task Learning for Routing Problem with Cross-Problem Zero-Shot Generalization. CoRR (2024)
Hongduo Liu, Peiyu Liao, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
Parallel Gröbner Basis Rewriting and Memory Optimization for Efficient Multiplier Verification. DATE (2024)
Xihan Li, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan, Jun Wang
Logic Synthesis with Generative Deep Neural Networks. CoRR (2024)
Xiangyu Dong, Xingyi Zhang, Yanni Sun, Lei Chen, Mingxuan Yuan, Sibo Wang
SmoothGNN: Smoothing-based GNN for Unsupervised Node Anomaly Detection. CoRR (2024)
Jie Wang, Zhihai Wang, Xijun Li, Yufei Kuang, Zhihao Shi, Fangzhou Zhu, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
Learning to Cut via Hierarchical Sequence/Set Model for Efficient Mixed-Integer Programming. CoRR (2024)
Changliang Zhou, Xi Lin, Zhenkun Wang, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization. CoRR (2024)
Xing Li, Lei Chen, Jiantang Zhang, Shuang Wen, Weihua Sheng, Yu Huang, Mingxuan Yuan
EffiSyn: Efficient Logic Synthesis with Dynamic Scoring and Pruning. ICCAD (2023)
Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. CoRR (2023)
Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
DeepGate2: Functionality-Aware Circuit Representation Learning. ICCAD (2023)
Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. CoRR (2023)
Xuliang Zhu, Ruofei Tang, Lei Chen, Xing Li, Xin Huang, Mingxuan Yuan, Weihua Sheng, Jianliang Xu
A Database Dependent Framework for K-Input Maximum Fanout-Free Window Rewriting. DAC (2023)
Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Algorithm Evolution Using Large Language Model. CoRR (2023)
Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. IJCNN (2023)
Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. CoRR (2023)
Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan
A survey for solving mixed integer programming via machine learning. Neurocomputing 519 (2023)
Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees. Proc. ACM Manag. Data 1 (1) (2023)
Peiyu Wang, Anqi Lu, Xing Li, Junjie Ye, Lei Chen, Mingxuan Yuan, Jianye Hao, Junchi Yan
EasyMap: Improving Technology Mapping via Exploration-Enhanced Heuristics and Adaptive Sequencing. ICCAD (2023)
Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline. KDD (2023)
Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank. Proc. VLDB Endow. 16 (6) (2023)
Jianyong Yuan, Peiyu Wang, Junjie Ye, Mingxuan Yuan, Jianye Hao, Junchi Yan
EasySO: Exploration-enhanced Reinforcement Learning for Logic Synthesis Sequence Optimization and a Comprehensive RL Environment. ICCAD (2023)
Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang
Large Language Model for Multi-objective Evolutionary Optimization. CoRR (2023)
Zhihai Wang, Lei Chen, Jie Wang, Xing Li, Yinqi Bai, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu
A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design. CoRR (2023)
Ziyang Yu, Chen Bail, Shoubo Hu, Ran Chen, Taohai He, Mingxuan Yuan, Bei Yu, Martin D. F. Wong
IT-DSE: Invariance Risk Minimized Transfer Microarchitecture Design Space Exploration. ICCAD (2023)
Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
SATformer: Transformer-Based UNSAT Core Learning. ICCAD (2023)
Hui-Ling Zhen, Naixing Wang, Junhua Huang, Xinyue Huang, Mingxuan Yuan, Yu Huang
Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG. CoRR (2023)
Zhihai Wang, Xijun Li, Jie Wang, Yufei Kuang, Mingxuan Yuan, Jia Zeng, Yongdong Zhang, Feng Wu
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model. ICLR (2023)
Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR (2023)
Antoine Grosnit, Matthieu Zimmer, Rasul Tutunov, Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Haitham Bou-Ammar
Lightweight Structural Choices Operator for Technology Mapping. DAC (2023)
Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu
Layout Decomposition via Boolean Satisfiability. DAC (2023)
Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR (2023)
Wenxuan Guo, Hui-Ling Zhen, Xijun Li, Wanqian Luo, Mingxuan Yuan, Yaohui Jin, Junchi Yan
Machine Learning Methods in Solving the Boolean Satisfiability Problem. Mach. Intell. Res. 20 (5) (2023)
Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
DeepGate2: Functionality-Aware Circuit Representation Learning. CoRR (2023)
Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Hongli Yan, Yupeng Wan
HIMap: a heuristic and iterative logic synthesis approach. DAC (2022)
Qingyu Qu, Xijun Li, Yunfan Zhou, Jia Zeng, Mingxuan Yuan, Jie Wang, Jinhu Lv, Kexin Liu, Kun Mao
An Improved Reinforcement Learning Algorithm for Learning to Branch. CoRR (2022)
Yunfan Zhou, Xijun Li, Jinhong Luo, Mingxuan Yuan, Jia Zeng, Jianguo Yao
Learning to Optimize DAG Scheduling in Heterogeneous Environment. MDM (2022)
Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li
LQoCo: Learning to Optimize Cache Capacity Overloading in Storage Systems. CoRR (2022)
Longkang Li, Xiaojin Fu, Hui-Ling Zhen, Mingxuan Yuan, Jun Wang, Jiawen Lu, Xialiang Tong, Jia Zeng, Dirk Schnieders
Bilevel learning for large-scale flexible flow shop scheduling. Comput. Ind. Eng. 168 (2022)
Junhua Huang, Hui-Ling Zhen, Naixing Wang, Mingxuan Yuan, Hui Mao, Yu Huang, Jiping Tao
Accelerate SAT-based ATPG via Preprocessing and New Conflict Management Heuristics. ASP-DAC (2022)
Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang
Learning to Reformulate for Linear Programming. CoRR (2022)
Ji Zhang, Xijun Li, Xiyao Zhou, Mingxuan Yuan, Zhuo Cheng, Keji Huang, Yifan Li
L-QoCo: learning to optimize cache capacity overloading in storage systems. DAC (2022)
Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
SATformer: Transformers for SAT Solving. CoRR (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR (2022)
Zhenkun Wang, Hui-Ling Zhen, Jingda Deng, Qingfu Zhang, Xijun Li, Mingxuan Yuan, Jia Zeng
Multiobjective Optimization-Aided Decision-Making System for Large-Scale Manufacturing Planning. IEEE Trans. Cybern. 52 (8) (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning. ECML/PKDD (5) (2022)
Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo
Introduction to The Dynamic Pickup and Delivery Problem Benchmark - ICAPS 2021 Competition. CoRR (2022)
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123 (2022)
Chang Feng, Wenlong Lyu, Zhitang Chen, Junjie Ye, Mingxuan Yuan, Jianye Hao
Batch Sequential Black-Box Optimization with Embedding Alignment Cells for Logic Synthesis. ICCAD (2022)
Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR (2022)
Jiahui Duan, Xialiang Tong, Fei Ni, Zhenan He, Lei Chen, Mingxuan Yuan
A Data-Driven Column Generation Algorithm For Bin Packing Problem in Manufacturing Industry. CoRR (2022)
Junhua Huang, Hui-Ling Zhen, Naixing Wang, Hui Mao, Mingxuan Yuan, Yu Huang
Neural Fault Analysis for SAT-based ATPG. ITC (2022)
Yige Zhang, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Pan Hui
Context-Aware Telco Outdoor Localization. IEEE Trans. Mob. Comput. 21 (4) (2022)
Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin
Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR (2022)
Yige Zhang, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Pan Hui
Context-aware Telco Outdoor Localization. CoRR (2021)
Fangzhou Zhu, Mingxuan Yuan, Xike Xie, Ting Wang, Shenglin Zhao, Weixiong Rao, Jia Zeng
A Data-Driven Sequential Localization Framework for Big Telco Data. IEEE Trans. Knowl. Data Eng. 33 (8) (2021)
Qianwen Zhu, Xihan Li, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng
Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem. CIKM (2021)
Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CIKM (2021)
Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CoRR (2021)
Yige Zhang, Aaron Yi Ding, Jörg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao
Transfer Learning-Based Outdoor Position Recovery With Cellular Data. IEEE Trans. Mob. Comput. 20 (5) (2021)
Yi Ma, Xiaotian Hao, Jianye Hao, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Jie Tang, Zhaopeng Meng
A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. NeurIPS (2021)
Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
Learning-Aided Heuristics Design for Storage System. CoRR (2021)
Jinhong Luo, Xijun Li, Mingxuan Yuan, Jianguo Yao, Jia Zeng
Learning to Optimize DAG Scheduling in Heterogeneous Environment. CoRR (2021)
Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng
Learning-Aided Heuristics Design for Storage System. SIGMOD Conference (2021)
Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lu, Jia Zeng
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. CoRR (2021)
Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He
A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. KDD (2021)
Xing Li, Qiquan Shi, Gang Hu, Lei Chen, Hui Mao, Yiyuan Yang, Mingxuan Yuan, Jia Zeng, Zhuo Cheng
Block Access Pattern Discovery via Compressed Full Tensor Transformer. CIKM (2021)
Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR (2021)
Xijun Li, Weilin Luo, Mingxuan Yuan, Jun Wang, Jiawen Lu, Jie Wang, Jinhu Lü, Jia Zeng
Learning to Optimize Industry-Scale Dynamic Pickup and Delivery Problems. ICDE (2021)
Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders
Bilevel Learning Model Towards Industrial Scheduling. CoRR (2020)
Dong Sun, Renfei Huang, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu
PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. AAAI (2020)
Qiquan Shi, Jiaming Yin, Jiajun Cai, Andrzej Cichocki, Tatsuya Yokota, Lei Chen, Mingxuan Yuan, Jia Zeng
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting. CoRR (2020)
Dong Sun, Zezheng Feng, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu
DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting. CHI (2020)
Dong Sun, Zezheng Feng, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu
DFSeer: A Visual Analytics Approach to Facilitate Model Selection for Demand Forecasting. CoRR (2020)
Yige Zhang, Aaron Yi Ding, Jörg Ott, Mingxuan Yuan, Jia Zeng, Kun Zhang, Weixiong Rao
Transfer Learning-Based Outdoor Position Recovery with Telco Data. CoRR (2019)
Ke Deng, Yanhua Li, Jia Zeng, Mingxuan Yuan, Jun Luo, Jeffrey Xu Yu
User Preference Analysis for Most Frequent Peer/Dominator. IEEE Trans. Knowl. Data Eng. 31 (7) (2019)
Dong Sun, Renfei Huang, Yuanzhe Chen, Yong Wang, Jia Zeng, Mingxuan Yuan, Ting-Chuen Pong, Huamin Qu
PlanningVis: A Visual Analytics Approach to Production Planning in Smart Factories. CoRR (2019)
Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. KDD (2019)
Yige Zhang, Weixiong Rao, Kun Zhang, Mingxuan Yuan, Jia Zeng
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network. CIKM (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mingxuan Yuan