Minjie Wang

According to our database, Minjie Wang authored at least 60 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training.

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

Proc. VLDB Endow., February, 2024

Heta: Distributed Training of Heterogeneous Graph Neural Networks.

Yuchen Zhong, Junwei Su, Chuan Wu, Minjie Wang

CoRR, 2024

Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system.

Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li

CoRR, 2024

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training.

Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs.

Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

CoRR, 2024

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

CoRR, 2024

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs.

Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, 2024

Graph Machine Learning Meets Multi-Table Relational Data.

Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction.

Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Revolutionizing Intrusive Neural Interfaces: Vascular Stent-Based Neural Electrodes.

Liang Shen, Bo Wen, Zihua Chen, Minjie Wang, Linlin Han, Bo Shen, Kai Cao, Lihua Zhang, Jianjun Wu, Xiaoyang Kang

Proceedings of the 12th International Winter Conference on Brain-Computer Interface, 2024

Graph Machine Learning through the Lens of Bilevel Optimization.

Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Generation of highly retrievable atom photon entanglement with a millisecond lifetime via a spatially multiplexed cavity.

Minjie Wang, Shengzhi Wang, Tengfei Ma, Ya Li, Yan Xie, Haole Jiao, Hailong Liu, Shujing Li, Hai Wang

Quantum, January, 2023

GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs.

Yuchen Zhong, Guangming Sheng, Tianzuo Qin, Minjie Wang, Quan Gan, Chuan Wu

CoRR, 2023

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale.

Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf

CoRR, 2023

ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training.

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.

Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

DGI: An Easy and Efficient Framework for GNN Model Evaluation.

Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU.

Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Distribution of Electrical Stimulation Current of a Minimally Invasive Endovascular Stent-Electrode.

Bo Wen, Jing Zhang, Minjie Wang, Lusheng Liu, Yuan Zhang, Aiping Wang, Lu Wang, Lihua Zhang, Xiaoyang Kang

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

Light Radiation Simulation of Micro-LED Array for the Optical Neural Interface Targeted Cerebral Cortex in Rhesus Monkey.

Lusheng Liu, Wenlei Zhang, Bo Wen, Minjie Wang, Aiping Wang, Jing Zhang, Yuan Zhang, Song Le, Haifeng Jiang, Rongwei Zhai, Lihua Zhang, Xiaoyang Kang

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

Implantable Brain-Computer Interface Based On Printing Technology.

Lusheng Liu, Bo Wen, Minjie Wang, Aiping Wang, Jing Zhang, Yuan Zhang, Song Le, Lihua Zhang, Xiaoyang Kang

Proceedings of the 11th International Winter Conference on Brain-Computer Interface, 2023

2022

Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion.

Li Dong, Feibo Jiang, Minjie Wang, Xiaolong Li

Knowl. Based Syst., 2022

DGI: Easy and Efficient Inference for GNNs.

Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang

CoRR, 2022

BiFeat: Supercharge GNN Training via Graph Feature Quantization.

Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan

CoRR, 2022

CEP3: Community Event Prediction with Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan

CoRR, 2022

Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph.

Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

CEP3: Community Event Prediction With Neural Point Process on Graph.

Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan

Proceedings of the Learning on Graphs Conference, 2022

2021

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data.

Minjie Wang, Genevera I. Allen

J. Mach. Learn. Res., 2021

Modal parameter identification of general cutter based on milling stability theory.

Minglong Guo, Zhaocheng Wei, Minjie Wang, Shiquan Li, Jia Wang, Shengxian Liu

J. Intell. Manuf., 2021

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs.

Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis

CoRR, 2021

Gaussian Graphical Model Selection for Huge Data via Minipatch Learning.

Tianyi Yao, Minjie Wang, Genevera I. Allen

CoRR, 2021

Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity.

Minjie Wang, Genevera I. Allen

CoRR, 2021

MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers.

Shaoting Zhang, Fangying Chen, Xiaolu Ma, Minjie Wang, Guanyu Yu, Fu Shen, Xianhua Gao, Jianping Lu

BMC Medical Imaging, 2021

Scalable Graph Neural Networks with Deep Graph Library.

Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis

Proceedings of the WSDM '21, 2021

Finger Vein Recognition Using a Shallow Convolutional Neural Network.

Jiazhen Liu, Ziyan Chen, Kaiyang Zhao, Minjie Wang, Zhen Hu, Xinwei Wei, Yicheng Zhu, Yuncong Yu, Zhe Feng, Hakil Kim, Changlong Jin

Proceedings of the Biometric Recognition - 15th Chinese Conference, 2021

2020

Flexible and Efficient Systems for Training Emerging Deep Neural Networks.

Minjie Wang

PhD thesis, 2020

An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability.

Chunyan Ling, Zhenzhou Lu, Bo Sun, Minjie Wang

Fuzzy Sets Syst., 2020

Learning Graph Neural Networks with Deep Graph Library.

Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs.

Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis

Proceedings of the 10th IEEE/ACM Workshop on Irregular Applications: Architectures and Algorithms, 2020

FeatGraph: a flexible and efficient backend for graph neural network systems.

Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang

Proceedings of the International Conference for High Performance Computing, 2020

XIndex: a scalable learned index for multicore data storage.

Chuzhe Tang, Youyun Wang, Zhiyuan Dong, Gansen Hu, Zhaoguo Wang, Minjie Wang, Haibo Chen

Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

Scalable Graph Neural Networks with Deep Graph Library.

Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs.

Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang

CoRR, 2019

Learned Indexes for Dynamic Workloads.

Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen

CoRR, 2019

Person Re-Identification via Group Symmetry Theory.

Jiahuan Zhang, Xuelong Hu, Minjie Wang, Huixiang Qiao, Xian Li, Tianbao Sun

IEEE Access, 2019

Pixel and Channel Attention Network for Person Re-identification.

Minjie Wang, Xian Li, Jiahuan Zhang, Haoyu Zhou, Lei Lei, Banghua Yang

Proceedings of the Image and Graphics Technologies and Applications, 2019

Supporting Very Large Models using Automatic Dataflow Graph Partitioning.

Minjie Wang, Chien-Chin Huang, Jinyang Li

Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

2018

Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling.

Minjie Wang, Chien-Chin Huang, Jinyang Li

CoRR, 2018

Urban Perception of Commercial Activeness from Satellite Images and Streetscapes.

Wenshan Wang, Su Yang, Zhiyuan He, Minjie Wang, Jiulong Zhang, Weishan Zhang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Predicting Commercial Activeness over Urban Big Data.

Su Yang, Minjie Wang, Wenshan Wang, Yi Sun, Jun Gao, Weishan Zhang, Jiulong Zhang

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

2016

Predicting Human Mobility from Region Functions.

Minjie Wang, Su Yang, Yi Sun, Jun Gao

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

2015

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems.

Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang

CoRR, 2015

Discovering Spatial Contexts for Traffic Flow Prediction with Sparse Representation Based Variable Selection.

Su Yang, Shixiong Shi, Xiaobing Hu, Minjie Wang

Proceedings of the 2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom), 2015

Social context awareness from taxi traces: mining how human mobility patterns are shaped by bags of POI.

Jingmin Chen, Su Yang, Wenshan Wang, Minjie Wang

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

2014

Impression Store: Compressive Sensing-based Storage for Big Data Analytics.

Jiaxing Zhang, Ying Yan, Liang Jeff Chen, Minjie Wang, Thomas Moscibroda, Zheng Zhang

Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing, 2014

A scalable and topology configurable protocol for distributed parameter synchronization.

Minjie Wang, Hucheng Zhou, Minyi Guo, Zheng Zhang

Proceedings of the Asia-Pacific Workshop on Systems, 2014

2012

Context-aware HCI service selection.

Yao Shen, Minjie Wang, Xiaoxin Tang, Yi Luo, Minyi Guo

Mob. Inf. Syst., 2012

2011

Experimental research of chip formation mechanism during high speed machining of hardened steel.

Chunzheng Duan, Tao Tou, Minjie Wang

Int. J. Comput. Aided Eng. Technol., 2011

A Method of Context-Driven HCI Service Selection in Multimodal Interaction Environments.

Minjie Wang, Xiaoxin Tang, Yao Shen, Feilong Tang, Minyi Guo

Proceedings of the 14th International Conference on Network-Based Information Systems, 2011