Minjie Wang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 50

Top Topics

Efficient Inference

Top Venues

WWW (Companion Volume)

Publications

Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. 17 (6) (2024)
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR (2024)
Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos
Graph Machine Learning Meets Multi-Table Relational Data. KDD (2024)
Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS (2024)
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
4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR (2024)
Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li
DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. CoRR (2024)
Liang Shen, Bo Wen, Zihua Chen, Minjie Wang, Linlin Han, Bo Shen, Kai Cao, Lihua Zhang, Jianjun Wu, Xiaoyang Kang
Revolutionizing Intrusive Neural Interfaces: Vascular Stent-Based Neural Electrodes. BCI (2024)
Lusheng Liu, Bo Wen, Minjie Wang, Aiping Wang, Jing Zhang, Yuan Zhang, Song Le, Lihua Zhang, Xiaoyang Kang
Implantable Brain-Computer Interface Based On Printing Technology. BCI (2023)
Bo Wen, Jing Zhang, Minjie Wang, Lusheng Liu, Yuan Zhang, Aiping Wang, Lu Wang, Lihua Zhang, Xiaoyang Kang
Distribution of Electrical Stimulation Current of a Minimally Invasive Endovascular Stent-Electrode. BCI (2023)
Lusheng Liu, Wenlei Zhang, Bo Wen, Minjie Wang, Aiping Wang, Jing Zhang, Yuan Zhang, Song Le, Haifeng Jiang, Rongwei Zhai, Lihua Zhang, Xiaoyang Kang
Light Radiation Simulation of Micro-LED Array for the Optical Neural Interface Targeted Cerebral Cortex in Rhesus Monkey. BCI (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
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Yuchen Zhong, Guangming Sheng, Tianzuo Qin, Minjie Wang, Quan Gan, Chuan Wu
GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs. CoRR (2023)
Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP (2023)
Minjie Wang, Shengzhi Wang, Tengfei Ma, Ya Li, Yan Xie, Haole Jiao, Hailong Liu, Shujing Li, Hai Wang
Generation of highly retrievable atom photon entanglement with a millisecond lifetime via a spatially multiplexed cavity. Quantum 7 (2023)
Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis
Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. IPDPS Workshops (2023)
Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR (2023)
Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR (2023)
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
DGI: An Easy and Efficient Framework for GNN Model Evaluation. KDD (2023)
Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan
BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR (2022)
Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. MLSys (2022)
Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
DGI: Easy and Efficient Inference for GNNs. CoRR (2022)
Li Dong, Feibo Jiang, Minjie Wang, Xiaolong Li
Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion. Knowl. Based Syst. 242 (2022)
Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan
CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR (2022)
Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan
CEP3: Community Event Prediction With Neural Point Process on Graph. LoG (2022)
Jiazhen Liu, Ziyan Chen, Kaiyang Zhao, Minjie Wang, Zhen Hu, Xinwei Wei, Yicheng Zhu, Yuncong Yu, Zhe Feng, Hakil Kim, Changlong Jin
Finger Vein Recognition Using a Shallow Convolutional Neural Network. CCBR (2021)
Tianyi Yao, Minjie Wang, Genevera I. Allen
Gaussian Graphical Model Selection for Huge Data via Minipatch Learning. CoRR (2021)
Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR (2021)
Minjie Wang, Genevera I. Allen
Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity. CoRR (2021)
Minglong Guo, Zhaocheng Wei, Minjie Wang, Shiquan Li, Jia Wang, Shengxian Liu
Modal parameter identification of general cutter based on milling stability theory. J. Intell. Manuf. 32 (1) (2021)
Minjie Wang, Genevera I. Allen
Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data. J. Mach. Learn. Res. 22 (2021)
Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
Scalable Graph Neural Networks with Deep Graph Library. WSDM (2021)
Shaoting Zhang, Fangying Chen, Xiaolu Ma, Minjie Wang, Guanyu Yu, Fu Shen, Xianhua Gao, Jianping Lu
MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers. BMC Medical Imaging 21 (1) (2021)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR (2020)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
Scalable Graph Neural Networks with Deep Graph Library. KDD (2020)
Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) (2020)
Chunyan Ling, Zhenzhou Lu, Bo Sun, Minjie Wang
An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability. Fuzzy Sets Syst. 387 (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC (2020)
Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
FeatGraph: a flexible and efficient backend for graph neural network systems. SC (2020)
Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR (2020)
Chuzhe Tang, Youyun Wang, Zhiyuan Dong, Gansen Hu, Zhaoguo Wang, Minjie Wang, Haibo Chen
XIndex: a scalable learned index for multicore data storage. PPoPP (2020)
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
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR (2019)
Minjie Wang, Xian Li, Jiahuan Zhang, Haoyu Zhou, Lei Lei, Banghua Yang
Pixel and Channel Attention Network for Person Re-identification. IGTA (2019)
Minjie Wang, Chien-Chin Huang, Jinyang Li
Supporting Very Large Models using Automatic Dataflow Graph Partitioning. EuroSys (2019)
Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen
Learned Indexes for Dynamic Workloads. CoRR (2019)
Jiahuan Zhang, Xuelong Hu, Minjie Wang, Huixiang Qiao, Xian Li, Tianbao Sun
Person Re-Identification via Group Symmetry Theory. IEEE Access 7 (2019)
Minjie Wang, Chien-Chin Huang, Jinyang Li
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling. CoRR (2018)
Minjie Wang, Chien-Chin Huang, Jinyang Li
Supporting Very Large Models using Automatic Dataflow Graph Partitioning. CoRR (2018)
Wenshan Wang, Su Yang, Zhiyuan He, Minjie Wang, Jiulong Zhang, Weishan Zhang
Urban Perception of Commercial Activeness from Satellite Images and Streetscapes. WWW (Companion Volume) (2018)
Su Yang, Minjie Wang, Wenshan Wang, Yi Sun, Jun Gao, Weishan Zhang, Jiulong Zhang
Predicting Commercial Activeness over Urban Big Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)
Minjie Wang, Su Yang, Yi Sun, Jun Gao
Predicting Human Mobility from Region Functions. iThings/GreenCom/CPSCom/SmartData (2016)
Jingmin Chen, Su Yang, Wenshan Wang, Minjie Wang
Social context awareness from taxi traces: mining how human mobility patterns are shaped by bags of POI. UbiComp/ISWC Adjunct (2015)
Su Yang, Shixiong Shi, Xiaobing Hu, Minjie Wang
Discovering Spatial Contexts for Traffic Flow Prediction with Sparse Representation Based Variable Selection. UIC/ATC/ScalCom (2015)
Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR (2015)
Jiaxing Zhang, Ying Yan, Liang Jeff Chen, Minjie Wang, Thomas Moscibroda, Zheng Zhang
Impression Store: Compressive Sensing-based Storage for Big Data Analytics. HotCloud (2014)
Minjie Wang, Hucheng Zhou, Minyi Guo, Zheng Zhang
A scalable and topology configurable protocol for distributed parameter synchronization. APSys (2014)
Yao Shen, Minjie Wang, Xiaoxin Tang, Yi Luo, Minyi Guo
Context-aware HCI service selection. Mob. Inf. Syst. 8 (3) (2012)
Chunzheng Duan, Tao Tou, Minjie Wang
Experimental research of chip formation mechanism during high speed machining of hardened steel. Int. J. Comput. Aided Eng. Technol. 3 (5/6) (2011)
Minjie Wang, Xiaoxin Tang, Yao Shen, Feilong Tang, Minyi Guo
A Method of Context-Driven HCI Service Selection in Multimodal Interaction Environments. NBiS (2011)