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2020 – today
- 2023
[j30]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): 640-655 (2023)- [j29]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: 205-217 (2023) - [j28]Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan:
Orca: Scalable Temporal Graph Neural Network Training with Theoretical Guarantees. Proc. ACM Manag. Data 1(1): 52:1-52:27 (2023) - [j27]Yiming Li, Yanyan Shen, Lei Chen, Mingxuan Yuan:
Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank. Proc. VLDB Endow. 16(6): 1332-1345 (2023) - [c66]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: 1-6 - [c65]Hongduo Liu, Peiyu Liao, Mengchuan Zou, Bowen Pang, Xijun Li, Mingxuan Yuan, Tsung-Yi Ho, Bei Yu:
Layout Decomposition via Boolean Satisfiability. DAC 2023: 1-6 - [c64]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: 1-6 - [c63]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 - [c62]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 - [c61]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: 1-8 - [c60]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: 4414-4425 - [i28]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 abs/2302.00244 (2023) - [i27]Hui-Ling Zhen, Naixing Wang, Junhua Huang, Xinyue Huang, Mingxuan Yuan, Yu Huang:
Conflict-driven Structural Learning Towards Higher Coverage Rate in ATPG. CoRR abs/2303.02290 (2023) - [i26]Fei Liu, Chengyu Lu, Lin Gui, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan:
Heuristics for Vehicle Routing Problem: A Survey and Recent Advances. CoRR abs/2303.04147 (2023) - [i25]Yiyuan Yang, Rongshang Li, Qiquan Shi, Xijun Li, Gang Hu, Xing Li, Mingxuan Yuan:
SGDP: A Stream-Graph Neural Network Based Data Prefetcher. CoRR abs/2304.03864 (2023) - [i24]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 abs/2305.16373 (2023) - [i23]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 abs/2309.03208 (2023) - [i22]Fei Liu, Xi Lin, Zhenkun Wang, Shunyu Yao, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Large Language Model for Multi-objective Evolutionary Optimization. CoRR abs/2310.12541 (2023) - [i21]Fei Liu, Xialiang Tong, Mingxuan Yuan, Qingfu Zhang:
Algorithm Evolution Using Large Language Model. CoRR abs/2311.15249 (2023) - 2022
- [j26]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: 108140 (2022) - [j25]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: 108353 (2022) - [j24]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): 8326-8339 (2022) - [j23]Yige Zhang, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Pan Hui:
Context-Aware Telco Outdoor Localization. IEEE Trans. Mob. Comput. 21(4): 1211-1225 (2022) - [c59]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: 365-370 - [c58]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: 379-384 - [c57]Xing Li, Lei Chen, Fan Yang, Mingxuan Yuan, Hongli Yan, Yupeng Wan:
HIMap: a heuristic and iterative logic synthesis approach. DAC 2022: 415-420 - [c56]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: 56:1-56:9 - [c55]Junhua Huang, Hui-Ling Zhen, Naixing Wang, Hui Mao, Mingxuan Yuan, Yu Huang:
Neural Fault Analysis for SAT-based ATPG. ITC 2022: 36-45 - [c54]Yunfan Zhou, Xijun Li, Jinhong Luo, Mingxuan Yuan, Jia Zeng, Jianguo Yao:
Learning to Optimize DAG Scheduling in Heterogeneous Environment. MDM 2022: 137-146 - [c53]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: 377-392 - [i20]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 abs/2201.06213 (2022) - [i19]Xijun Li, Qingyu Qu, Fangzhou Zhu, Jia Zeng, Mingxuan Yuan, Kun Mao, Jie Wang:
Learning to Reformulate for Linear Programming. CoRR abs/2201.06216 (2022) - [i18]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 abs/2202.01256 (2022) - [i17]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 abs/2202.12466 (2022) - [i16]Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan:
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR abs/2203.02878 (2022) - [i15]Wenxuan Guo, Junchi Yan, Hui-Ling Zhen, Xijun Li, Mingxuan Yuan, Yaohui Jin:
Machine Learning Methods in Solving the Boolean Satisfiability Problem. CoRR abs/2203.04755 (2022) - [i14]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 abs/2203.13678 (2022) - [i13]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 abs/2207.13701 (2022) - [i12]Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformers for SAT Solving. CoRR abs/2209.00953 (2022) - 2021
- [j22]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): 3007-3019 (2021) - [j21]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): 2094-2110 (2021) - [c52]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: 957-966 - [c51]Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CIKM 2021: 3925-3934 - [c50]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: 4393-4402 - [c49]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: 2511-2522 - [c48]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: 3441-3451 - [c47]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: 23609-23620 - [c46]Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng:
Learning-Aided Heuristics Design for Storage System. SIGMOD Conference 2021: 2597-2601 - [i11]Jinhong Luo, Xijun Li, Mingxuan Yuan, Jianguo Yao, Jia Zeng:
Learning to Optimize DAG Scheduling in Heterogeneous Environment. CoRR abs/2103.06980 (2021) - [i10]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 abs/2105.12899 (2021) - [i9]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 abs/2105.13645 (2021) - [i8]Yingtian Tang, Han Lu, Xijun Li, Lei Chen, Mingxuan Yuan, Jia Zeng:
Learning-Aided Heuristics Design for Storage System. CoRR abs/2106.07288 (2021) - [i7]Xihan Li, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang:
Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization. CoRR abs/2108.04586 (2021) - [i6]Yige Zhang, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Pan Hui:
Context-aware Telco Outdoor Localization. CoRR abs/2108.10651 (2021) - 2020
- [j20]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): 579-589 (2020) - [c45]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: 5758-5766 - [c44]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: 1-13 - [i5]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 abs/2002.12135 (2020) - [i4]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 abs/2005.03244 (2020) - [i3]Longkang Li, Hui-Ling Zhen, Mingxuan Yuan, Jiawen Lu, Xialiang Tong, Jia Zeng, Jun Wang, Dirk Schnieders:
Bilevel Learning Model Towards Industrial Scheduling. CoRR abs/2008.04130 (2020)
2010 – 2019
- 2019
- [j19]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): 1412-1425 (2019) - [c43]Yige Zhang, Weixiong Rao, Kun Zhang, Mingxuan Yuan, Jia Zeng:
PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network. CIKM 2019: 1933-1942 - [c42]Jiaming Yin, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Kai Zhao, Chenxi Zhang, Jiangfeng Li, Qinpei Zhao:
Experimental Study of Multivariate Time Series Forecasting Models. CIKM 2019: 2833-2839 - [c41]Lei Chen, Xialiang Tong, Mingxuan Yuan, Jia Zeng, Lei Chen:
A Data-Driven Approach for Multi-level Packing Problems in Manufacturing Industry. KDD 2019: 1762-1770 - [i2]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 abs/1907.12201 (2019) - [i1]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 abs/1912.04521 (2019) - 2018
- [c40]Jinhua Lv, Qinpei Zhao, Jiangfeng Li, Yige Zhang, Xiaolei Di, Weixiong Rao, Mingxuan Yuan, Jia Zeng:
BSLoc: Base Station ID-Based Telco Outdoor Localization. ALGOSENSORS 2018: 206-219 - [c39]Xijun Li, Jianguo Yao, Mingxuan Yuan, Jia Zeng:
A Two-Layer Algorithmic Framework for Service Provider Configuration and Planning with Optimal Spatial Matching. CIKM 2018: 2273-2281 - [c38]Xuanyu Bai, Jianguo Yao, Mingxuan Yuan, Jia Zeng, Haibing Guan:
Qualitative Instead of Quantitative: Towards Practical Data Analysis Under Differential Privacy. DASFAA (2) 2018: 738-751 - [c37]Xijun Li, Mingxuan Yuan, Di Chen, Jianguo Yao, Jia Zeng:
A Data-Driven Three-Layer Algorithm for Split Delivery Vehicle Routing Problem with 3D Container Loading Constraint. KDD 2018: 528-536 - [c36]Yukun Huang, Weixiong Rao, Zhiqiang Zhang, Peng Zhao, Mingxuan Yuan, Jia Zeng:
Frequent Pattern-Based Map-Matching on Low Sampling Rate Trajectories. MDM 2018: 266-273 - [c35]Ruirui Bai, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Jianfeng Yan:
Context Aware Telco Churn Prediction Powered By Temporal Feature Engineering. PerCom Workshops 2018: 161-166 - 2017
- [j18]Xuanyu Bai, Jianguo Yao, Mingxuan Yuan, Ke Deng, Xike Xie, Haibing Guan:
Embedding differential privacy in decision tree algorithm with different depths. Sci. China Inf. Sci. 60(8): 082104:1-082104:15 (2017) - [j17]Lin Yang, Mingxuan Yuan, Yanjiao Chen, Wei Wang, Qian Zhang, Jia Zeng:
Personalized user engagement modeling for mobile videos. Comput. Networks 126: 256-267 (2017) - [j16]Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni:
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport. IEEE Trans. Big Data 3(2): 126-139 (2017) - [c34]Pengcheng Yuan, Qinpei Zhao, Weixiong Rao, Mingxuan Yuan, Jia Zeng:
Searching k-Nearest Neighbor Trajectories on Road Networks. ADC 2017: 85-97 - [c33]Minmin Zhu, Buyang Cao, Mingxuan Yuan, Jia Zeng:
Correction of Telecom Localization Errors by Context Knowledge. APWeb/WAIM Workshops 2017: 107-117 - [c32]Sheng Zhang, Shenglin Zhao, Mingxuan Yuan, Jia Zeng, Jianguo Yao, Michael R. Lyu, Irwin King:
Traffic Prediction Based Power Saving in Cellular Networks: A Machine Learning Method. SIGSPATIAL/GIS 2017: 29:1-29:10 - [c31]Peng Zhao, Chenxi Zhang, Yukun Huang, Weixiong Rao, Fangzhou Zhu, Ning Liu, Jie Geng, Mingxuan Yuan, Jia Zeng:
Demo abstract: Telco localization techniques. INFOCOM Workshops 2017: 970-971 - [c30]Yige Zhang, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Hua Yang:
Confidence Model-Based Data Repair for Telco Localization. MDM 2017: 186-195 - [c29]Renjie Zheng, Qin Liu, Weixiong Rao, Mingxuan Yuan, Jia Zeng, Zhongxiao Jin:
Topic Model-Based Road Network Inference from Massive Trajectories. MDM 2017: 246-255 - [c28]Yukun Huang, Weixiong Rao, Fangzhou Zhu, Ning Liu, Mingxuan Yuan, Jia Zeng, Hua Yang:
Experimental Study of Telco Localization Methods. MDM 2017: 299-306 - [c27]Shenglin Zhao, Irwin King, Michael R. Lyu, Jia Zeng, Mingxuan Yuan:
Mining Business Opportunities from Location-based Social Networks. SIGIR 2017: 1037-1040 - 2016
- [j15]Ran Wang, Chi-Yin Chow, Yan Lyu, Victor C. S. Lee, Sarana Nutanong, Yanhua Li, Mingxuan Yuan:
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction (industrial paper). GeoInformatica 20(2): 327-349 (2016) - [j14]Chen Luo, Jia Zeng, Mingxuan Yuan, Wenyuan Dai, Qiang Yang:
Telco User Activity Level Prediction with Massive Mobile Broadband Data. ACM Trans. Intell. Syst. Technol. 7(4): 63:1-63:30 (2016) - [j13]Xike Xie, Peiquan Jin, Man Lung Yiu, Jiang Du, Mingxuan Yuan, Christian S. Jensen:
Enabling Scalable Geographic Service Sharing with Weighted Imprecise Voronoi Cells. IEEE Trans. Knowl. Data Eng. 28(2): 439-453 (2016) - [j12]Wenchao Wu, Jiayi Xu, Haipeng Zeng, Yixian Zheng, Huamin Qu, Bing Ni, Mingxuan Yuan, Lionel M. Ni:
TelCoVis: Visual Exploration of Co-occurrence in Urban Human Mobility Based on Telco Data. IEEE Trans. Vis. Comput. Graph. 22(1): 935-944 (2016) - [c26]Yixian Zheng, Wenchao Wu, Haipeng Zeng, Nan Cao, Huamin Qu, Mingxuan Yuan, Jia Zeng, Lionel M. Ni:
TelcoFlow: Visual exploration of collective behaviors based on telco data. IEEE BigData 2016: 843-852 - [c25]Fangzhou Zhu, Chen Luo, Mingxuan Yuan, Yijian Zhu, Zhengqing Zhang, Tao Gu, Ke Deng, Weixiong Rao, Jia Zeng:
City-Scale Localization with Telco Big Data. CIKM 2016: 439-448 - [c24]Jianwei Zhang, Jia Zeng, Mingxuan Yuan, Weixiong Rao, Jianfeng Yan:
LDA Revisited: Entropy, Prior and Convergence. CIKM 2016: 1763-1772 - [c23]Xike Xie, Peiquan Jin, Man Lung Yiu, Jiang Du, Christian S. Jensen, Mingxuan Yuan:
Enabling scalable geographic service sharing with weighted imprecise Voronoi cells. ICDE 2016: 1522-1523 - [c22]Lin Yang, Mingxuan Yuan, Wei Wang, Qian Zhang, Jia Zeng:
Apps on the move: A fine-grained analysis of usage behavior of mobile apps. INFOCOM 2016: 1-9 - [c21]Bin Cao, Jing Fan, Mingxuan Yuan, Yanhua Li:
Toward accurate energy-efficient cellular network: switching off excessive carriers based on traffic profiling. SAC 2016: 546-551 - 2015
- [j11]Peiguang Lin, Lei Chen, Mingxuan Yuan, Peiyao Nie:
Discover the Misinformation Broadcasting in On-Line Social Networks. J. Inf. Sci. Eng. 31(3): 763-785 (2015) - [j10]Xueyang Hu, Mingxuan Yuan, Jianguo Yao, Yu Deng, Lei Chen, Qiang Yang, Haibing Guan, Jia Zeng:
Differential Privacy in Telco Big Data Platform. Proc. VLDB Endow. 8(12): 1692-1703 (2015) - [j9]Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei:
Privacy preserving graph publication in a distributed environment. World Wide Web 18(5): 1481-1517 (2015) - [c20]Xiuqiang He, Wenyuan Dai, Guoxiang Cao, Ruiming Tang, Mingxuan Yuan, Qiang Yang:
Mining target users for online marketing based on App Store data. IEEE BigData 2015: 1043-1052 - [c19]Yanhua Li, Chi-Yin Chow, Ke Deng, Mingxuan Yuan, Jia Zeng, Jia-Dong Zhang, Qiang Yang, Zhi-Li Zhang:
Sampling Big Trajectory Data. CIKM 2015: 941-950 - [c18]Ye Ding, Yanhua Li, Ke Deng, Haoyu Tan, Mingxuan Yuan, Lionel M. Ni:
Dissecting Regional Weather-Traffic Sensitivity Throughout a City. ICDM 2015: 739-744 - [c17]Yiqing Huang, Fangzhou Zhu, Mingxuan Yuan, Ke Deng, Yanhua Li, Bing Ni, Wenyuan Dai, Qiang Yang, Jia Zeng:
Telco Churn Prediction with Big Data. SIGMOD Conference 2015: 607-618 - 2014
- [j8]Mingxuan Yuan, Lei Chen, Philip S. Yu, Hong Mei:
Protect You More Than Blank: Anti-Learning Sensitive User Information in the Social Networks. J. Comput. Sci. Technol. 29(5): 762-776 (2014) - [j7]Mingxuan Yuan, Ke Deng, Jia Zeng, Yanhua Li, Bing Ni, Xiuqiang He, Fei Wang, Wenyuan Dai, Qiang Yang:
OceanST: A Distributed Analytic System for Large-Scale Spatiotemporal Mobile Broadband Data. Proc. VLDB Endow. 7(13): 1561-1564 (2014) - [c16]Lin Zhang, Mingxuan Yuan, Yao Guo, Xiangqun Chen, Lei Chen:
Preserving Location-Related Privacy Collaboratively in Geo-social Networks. COMPSAC 2014: 584-589 - [c15]Ran Wang, Chi-Yin Chow, Sarana Nutanong, Yan Lyu, Yanhua Li, Mingxuan Yuan, Victor C. S. Lee:
Exploring cell tower data dumps for supervised learning-based point-of-interest prediction. SIGSPATIAL/GIS 2014: 457-460 - [c14]Shiming Zhang, Yin Yang, Wei Fan, Liang Lan, Mingxuan Yuan:
OceanRT: real-time analytics over large temporal data. SIGMOD Conference 2014: 1099-1102 - [p1]Lei Chen, Mingxuan Yuan:
Privacy and Ethical Issues in Social Network Analysis. Social Networks: Analysis and Case Studies 2014: 179-231 - 2013
- [j6]Mingxuan Yuan, Lei Chen, Hong Mei:
Graph publication when the protection algorithm is available. Data Knowl. Eng. 88: 267-285 (2013) - [j5]