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2020 – today
- 2024
[j11]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): 1473-1486 (2024)- [c30]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS 2024: 982-990 - [c29]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: 1-6 - [c28]Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang:
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. CIKM 2024: 5420-5424 - [c27]Quan Gan
, Minjie Wang, David Wipf, Christos Faloutsos:
Graph Machine Learning Meets Multi-Table Relational Data. KDD 2024: 6502-6512 - [c26]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 RDBs. VLDB Workshops 2024 - [i22]Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf:
BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR abs/2403.04763 (2024) - [i21]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 abs/2404.18209 (2024) - [i20]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 abs/2405.05231 (2024) - [i19]Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li:
Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system. CoRR abs/2408.01248 (2024) - [i18]Yuchen Zhong, Junwei Su, Chuan Wu, Minjie Wang:
Heta: Distributed Training of Heterogeneous Graph Neural Networks. CoRR abs/2408.09697 (2024) - [i17]Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang:
ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. CoRR abs/2410.12865 (2024) - 2023
- [j10]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: 903 (2023) - [c25]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: 1-5 - [c24]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: 1-4 - [c23]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: 1-4 - [c22]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: 199-206 - [c21]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: 5439-5450 - [c20]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: 562-578 - [c19]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: 648-658 - [i16]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 abs/2301.07482 (2023) - [i15]Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf:
MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR abs/2310.12457 (2023) - [i14]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 abs/2311.17410 (2023) - 2022
- [j9]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: 108164 (2022) - [c18]Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan:
CEP3: Community Event Prediction With Neural Point Process on Graph. LoG 2022: 39 - [c17]Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan:
Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. MLSys 2022 - [i13]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 abs/2205.10624 (2022) - [i12]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 abs/2207.14696 (2022) - [i11]Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang:
DGI: Easy and Efficient Inference for GNNs. CoRR abs/2211.15082 (2022) - 2021
- [j8]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): 50 (2021) - [j7]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): 221-235 (2021) - [j6]Minjie Wang, Genevera I. Allen:
Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data. J. Mach. Learn. Res. 22: 55:1-55:73 (2021) - [c16]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: 195-202 - [c15]Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis:
Scalable Graph Neural Networks with Deep Graph Library. WSDM 2021: 1141-1142 - [i10]Minjie Wang, Genevera I. Allen:
Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity. CoRR abs/2104.06389 (2021) - [i9]Tianyi Yao, Minjie Wang, Genevera I. Allen:
Gaussian Graphical Model Selection for Huge Data via Minipatch Learning. CoRR abs/2110.12067 (2021) - [i8]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 abs/2112.15345 (2021) - 2020
- [b1]Minjie Wang:
Flexible and Efficient Systems for Training Emerging Deep Neural Networks. New York University, USA, 2020 - [j5]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: 89-107 (2020) - [c14]Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis:
Scalable Graph Neural Networks with Deep Graph Library. KDD 2020: 3521-3522 - [c13]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: 308-320 - [c12]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: 36-44 - [c11]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: 71 - [c10]Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis:
Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) 2020: 305-306 - [i7]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 abs/2008.11359 (2020) - [i6]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 abs/2010.05337 (2020)
2010 – 2019
- 2019
- [j4]Jiahuan Zhang, Xuelong Hu, Minjie Wang, Huixiang Qiao, Xian Li, Tianbao Sun:
Person Re-Identification via Group Symmetry Theory. IEEE Access 7: 133686-133693 (2019) - [c9]Minjie Wang, Chien-Chin Huang, Jinyang Li:
Supporting Very Large Models using Automatic Dataflow Graph Partitioning. EuroSys 2019: 26:1-26:17 - [c8]Minjie Wang, Xian Li, Jiahuan Zhang, Haoyu Zhou, Lei Lei, Banghua Yang:
Pixel and Channel Attention Network for Person Re-identification. IGTA 2019: 91-104 - [i5]Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen:
Learned Indexes for Dynamic Workloads. CoRR abs/1902.00655 (2019) - [i4]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 abs/1909.01315 (2019) - 2018
- [c7]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: 647-654 - [i3]Minjie Wang, Chien-Chin Huang, Jinyang Li:
Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling. CoRR abs/1805.04170 (2018) - [i2]Minjie Wang, Chien-Chin Huang, Jinyang Li:
Supporting Very Large Models using Automatic Dataflow Graph Partitioning. CoRR abs/1807.08887 (2018) - 2017
- [j3]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): 119:1-119:20 (2017) - 2016
- [c6]Minjie Wang, Su Yang, Yi Sun, Jun Gao:
Predicting Human Mobility from Region Functions. iThings/GreenCom/CPSCom/SmartData 2016: 540-547 - 2015
- [c5]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: 97-100 - [c4]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: 364-367 - [i1]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 abs/1512.01274 (2015) - 2014
- [c3]Minjie Wang, Hucheng Zhou, Minyi Guo, Zheng Zhang:
A scalable and topology configurable protocol for distributed parameter synchronization. APSys 2014: 13:1-13:7 - [c2]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 - 2012
- [j2]Yao Shen, Minjie Wang, Xiaoxin Tang, Yi Luo, Minyi Guo:
Context-aware HCI service selection. Mob. Inf. Syst. 8(3): 231-254 (2012) - 2011
- [j1]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): 458-465 (2011) - [c1]Minjie Wang, Xiaoxin Tang, Yao Shen, Feilong Tang, Minyi Guo:
A Method of Context-Driven HCI Service Selection in Multimodal Interaction Environments. NBiS 2011: 640-645
Coauthor Index
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last updated on 2024-11-25 22:46 CET by the dblp team
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