A Method of Context-Driven HCI Service Selection in Multimodal Interaction Environments. - Minjie Wang; Xiaoxin Tang; Yao Shen; Feilong Tang; Minyi Guo (NBiS, 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)

Context-aware HCI service selection. - Yao Shen; Minjie Wang; Xiaoxin Tang; Yi Luo; Minyi Guo (Mob. Inf. Syst., 2012)

A scalable and topology configurable protocol for distributed parameter synchronization. - Minjie Wang; Hucheng Zhou; Minyi Guo; Zheng Zhang 001 (APSys, 2014)

Impression Store: Compressive Sensing-based Storage for Big Data Analytics. - Jiaxing Zhang; Ying Yan 006; Liang Jeff Chen; Minjie Wang; Thomas Moscibroda; Zheng Zhang 001 (HotCloud, 2014)

Social context awareness from taxi traces: mining how human mobility patterns are shaped by bags of POI. - Jingmin Chen; Su Yang 001; Wenshan Wang; Minjie Wang (UbiComp/ISWC Adjunct, 2015)

Discovering Spatial Contexts for Traffic Flow Prediction with Sparse Representation Based Variable Selection. - Su Yang; Shixiong Shi; Xiaobing Hu; Minjie Wang (UIC/ATC/ScalCom, 2015)

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. - Tianqi Chen; Mu Li 003; Yutian Li; Min Lin; Naiyan Wang; Minjie Wang; Tianjun Xiao; Bing Xu; Chiyuan Zhang; Zheng Zhang 001 (CoRR, 2015)

Predicting Human Mobility from Region Functions. - Minjie Wang; Su Yang; Yi Sun; Jun Gao (iThings/GreenCom/CPSCom/SmartData, 2016)

Predicting Commercial Activeness over Urban Big Data. - Su Yang 001; Minjie Wang; Wenshan Wang; Yi Sun; Jun Gao; Weishan Zhang; Jiulong Zhang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Urban Perception of Commercial Activeness from Satellite Images and Streetscapes. - Wenshan Wang; Su Yang 001; Zhiyuan He 004; Minjie Wang; Jiulong Zhang; Weishan Zhang (WWW (Companion Volume), 2018)

Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling. - Minjie Wang; Chien-Chin Huang; Jinyang Li 001 (CoRR, 2018)

Supporting Very Large Models using Automatic Dataflow Graph Partitioning. - Minjie Wang; Chien-Chin Huang; Jinyang Li 001 (EuroSys, 2019)

Pixel and Channel Attention Network for Person Re-identification. - Minjie Wang; Xian Li; Jiahuan Zhang; Haoyu Zhou; Lei Lei; Banghua Yang (IGTA, 2019)

Person Re-Identification via Group Symmetry Theory. - Jiahuan Zhang; Xuelong Hu; Minjie Wang; Huixiang Qiao; Xian Li; Tianbao Sun (IEEE Access, 2019)

Learned Indexes for Dynamic Workloads. - Chuzhe Tang; Zhiyuan Dong; Minjie Wang; Zhaoguo Wang; Haibo Chen 001 (CoRR, 2019)

Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. - Minjie Wang; Lingfan Yu; Da Zheng; Quan Gan; Yu Gai; Zihao Ye 001; Mufei Li; Jinjing Zhou; Qi Huang 001; Chao Ma 025; Ziyue Huang; Qipeng Guo; et al. (CoRR, 2019)

Scalable Graph Neural Networks with Deep Graph Library. - Da Zheng; Minjie Wang; Quan Gan; Zheng Zhang 001; George Karypis (KDD, 2020)

XIndex: a scalable learned index for multicore data storage. - Chuzhe Tang; Youyun Wang; Zhiyuan Dong; Gansen Hu; Zhaoguo Wang; Minjie Wang; Haibo Chen 001 (PPoPP, 2020)

FeatGraph: a flexible and efficient backend for graph neural network systems. - Yuwei Hu; Zihao Ye 001; Minjie Wang; Jiali Yu; Da Zheng; Mu Li 003; Zheng Zhang 001; Zhiru Zhang; Yida Wang 003 (SC, 2020)

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. - Da Zheng; Chao Ma 025; Minjie Wang; Jinjing Zhou; Qidong Su; Xiang Song 003; Quan Gan; Zheng Zhang 001; George Karypis (IA3@SC, 2020)

Learning Graph Neural Networks with Deep Graph Library. - Da Zheng; Minjie Wang; Quan Gan; Zheng Zhang 001; George Karypis (WWW (Companion Volume), 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)

Flexible and Efficient Systems for Training Emerging Deep Neural Networks. - Minjie Wang (2020)

Finger Vein Recognition Using a Shallow Convolutional Neural Network. - Jiazhen Liu; Ziyan Chen; Kaiyang Zhao 004; Minjie Wang; Zhen Hu; Xinwei Wei; Yicheng Zhu; Yuncong Yu 002; Zhe Feng; Hakil Kim; Changlong Jin (CCBR, 2021)

Scalable Graph Neural Networks with Deep Graph Library. - Da Zheng; Minjie Wang; Quan Gan; Xiang Song 003; Zheng Zhang 001; George Karypis (WSDM, 2021)

MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers. - Shaoting Zhang 001; Fangying Chen; Xiaolu Ma; Minjie Wang; Guanyu Yu; Fu Shen; Xianhua Gao; Jianping Lu (BMC Medical Imaging, 2021)

Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity. - Minjie Wang; Genevera I. Allen (CoRR, 2021)

Gaussian Graphical Model Selection for Huge Data via Minipatch Learning. - Tianyi Yao; Minjie Wang; Genevera I. Allen (CoRR, 2021)

Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. - Da Zheng; Xiang Song 003; Chengru Yang; Dominique LaSalle; Qidong Su; Minjie Wang; Chao Ma 025; George Karypis (CoRR, 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)

Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data. - Minjie Wang; Genevera I. Allen (J. Mach. Learn. Res., 2021)

CEP3: Community Event Prediction With Neural Point Process on Graph. - Xuhong Wang; Sirui Chen; Yixuan He; Minjie Wang; Quan Gan; Junchi Yan (LoG, 2022)

Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. - Zhiqiang Xie; Minjie Wang; Zihao Ye 001; Zheng Zhang 001; Rui Fan (MLSys, 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)

BiFeat: Supercharge GNN Training via Graph Feature Quantization. - Yuxin Ma; Ping Gong 009; Jun Yi; Zhewei Yao; Minjie Wang; Cheng Li 001; Yuxiong He; Feng Yan 001 (CoRR, 2022)

DGI: Easy and Efficient Inference for GNNs. - Peiqi Yin; Xiao Yan 002; Jinjing Zhou; Qiang Fu; Zhenkun Cai; James Cheng; Bo Tang 016; Minjie Wang (CoRR, 2022)

Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion. - Li Dong 009; Feibo Jiang; Minjie Wang; Xiaolong Li 004 (Knowl. Based Syst., 2022)

Implantable Brain-Computer Interface Based On Printing Technology. - Lusheng Liu; Bo Wen; Minjie Wang; Aiping Wang; Jing Zhang; Yuan Zhang 025; Song Le; Lihua Zhang; Xiaoyang Kang 001 (BCI, 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 025; Song Le; Haifeng Jiang; Rongwei Zhai; Lihua Zhang; Xiaoyang Kang 001 (BCI, 2023)

Distribution of Electrical Stimulation Current of a Minimally Invasive Endovascular Stent-Electrode. - Bo Wen; Jing Zhang; Minjie Wang; Lusheng Liu; Yuan Zhang 025; Aiping Wang; Lu Wang; Lihua Zhang; Xiaoyang Kang 001 (BCI, 2023)

Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. - Israt Nisa; Minjie Wang; Da Zheng; Qiang Fu; Ümit V. Çatalyürek; George Karypis (IPDPS Workshops, 2023)

DGI: An Easy and Efficient Framework for GNN Model Evaluation. - Peiqi Yin; Xiao Yan 002; Jinjing Zhou; Qiang Fu; Zhenkun Cai; James Cheng; Bo Tang 016; Minjie Wang (KDD, 2023)

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. - Ping Gong 009; Renjie Liu 001; Zunyao Mao; Zhenkun Cai; Xiao Yan 002; Cheng Li 001; Minjie Wang; Zhuozhao Li (SOSP, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 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 003; Quan Gan; Zengfeng Huang; Jidong Zhai; Zheng Zhang 001 (CoRR, 2023)

MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. - Haitian Jiang; Renjie Liu 001; Xiao Yan 002; Zhenkun Cai; Minjie Wang; David Wipf (CoRR, 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 001 (CoRR, 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, 2023)

Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (AISTATS, 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 001 (BCI, 2024)

sEMG-Based Gesture Recognition in Multiple Scenarios Using a Phase Locked Value-Based Deep Learning Method. - Xueze Zhang; Minjie Wang; Zihua Chen; Lu Wang; Hongbo Wang; Xiaoyang Kang 001 (BIBM, 2024)

ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. - Yanlin Zhang; Ning Li 029; Quan Gan; Weinan Zhang 001; David Wipf; Minjie Wang (CIKM, 2024)

Graph Machine Learning Meets Multi-Table Relational Data. - Quan Gan; Minjie Wang; David Wipf; Christos Faloutsos (KDD, 2024)

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs. - Jiahui Liu; Zhenkun Cai; Zhiyong Chen; Minjie Wang (LoG, 2024)

4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. - Minjie Wang; Quan Gan; David Wipf; Zheng Zhang 001; Christos Faloutsos; Weinan Zhang 001; Muhan Zhang; Zhenkun Cai; Jiahang Li 002; Zunyao Mao; Yakun Song; Jianheng Tang; et al. (NeurIPS, 2024)

BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. - Amber Yijia Zheng; Tong He 002; Yixuan Qiu; Minjie Wang; David Wipf (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 029; Jianheng Tang; Yanlin Zhang; Zizhao Zhang; Zunyao Mao; Yakun Song; Yanbo Wang; Jiahang Li 002; et al. (CoRR, 2024)

Heta: Distributed Training of Heterogeneous Graph Neural Networks. - Yuchen Zhong; Junwei Su; Chuan Wu 001; Minjie Wang (CoRR, 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 003; Quan Gan; Zengfeng Huang; Jidong Zhai; Zheng Zhang 001 (Proc. VLDB Endow., 2024)

MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. - Haitian Jiang; Renjie Liu 001; Zengfeng Huang; Yichuan Wang 002; Xiao Yan 002; Zhenkun Cai; Minjie Wang; David Wipf (ICLR, 2025)

Adaptive Parallel Training for Graph Neural Networks. - Kaihao Ma; Renjie Liu 001; Xiao Yan 002; Zhenkun Cai; Xiang Song 003; Minjie Wang; Yichao Li; James Cheng (PPoPP, 2025)

Circular economy efficiency improvements contribute to achieving Net-Zero: Empirical evidence from China. - Niu Niu; Haotian Zhang; Minjie Wang; Yang Lu; Junhua Ma; Bin Zhang (Comput. Ind. Eng., 2025)

Chained HotStuff Under Performance Attack. - Minjie Wang; Jianyu Niu; Fangyu Gai; Mohammad M. Jalalzai; Yinqian Zhang; Chen Feng 001 (IEEE Trans. Dependable Secur. Comput., 2025)

DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. - Renjie Liu 001; Yichuan Wang 002; Xiao Yan 002; Haitian Jiang; Zhenkun Cai; Minjie Wang; Bo Tang 016; Jinyang Li 001 (Proc. ACM Manag. Data, 2025)

Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System. - Li Dong 009; Feibo Jiang; Minjie Wang; Yubo Peng; Xiaolong Li 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Griffin: Towards a Graph-Centric Relational Database Foundation Model. - Yanbo Wang; Xiyuan Wang; Quan Gan; Minjie Wang; Qibin Yang; David Wipf; Muhan Zhang (CoRR, 2025)

Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases. - Ning Li 029; Kounianhua Du; Han Zhang 057; Quan Gan; Minjie Wang; David Wipf; Weinan Zhang 001 (CoRR, 2025)