Minjie Wang - RankMe

83 papers A* 7A 5B 2Journal 46Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	No Need to Train Your RDB Foundation Model. CoRR Linjie Xu, Yanlin Zhang, Quan Gan, Minjie Wang, David Wipf
2026	J	`jnl`	Privacy-preserving federated learning from partial decryption verifiable threshold multi-client functional encryption. J. Inf. Secur. Appl. Minjie Wang, Jinguang Han, Weizhi Meng
2026	J	`jnl`	RDBLearn: Simple In-Context Prediction Over Relational Databases. CoRR Yanlin Zhang, Linjie Xu, Quan Gan, David Wipf, Minjie Wang
2025	B	`conf`	Adaptive Parallel Training for Graph Neural Networks. PPoPP Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng
2025	J	`jnl`	Chained HotStuff Under Performance Attack. IEEE Trans. Dependable Secur. Comput. Minjie Wang, Jianyu Niu, Fangyu Gai, Mohammad M. Jalalzai, Yinqian Zhang, Chen Feng
2025	J	`jnl`	Circular economy efficiency improvements contribute to achieving Net-Zero: Empirical evidence from China. Comput. Ind. Eng. Niu Niu, Haotian Zhang, Minjie Wang, Yang Lu, Junhua Ma, Bin Zhang
2025	J	`jnl`	Deep Progressive Reinforcement Learning-Based Flexible Resource Scheduling Framework for IRS and UAV-Assisted MEC System. IEEE Trans. Neural Networks Learn. Syst. Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li
2025	J	`jnl`	DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. Proc. ACM Manag. Data Renjie Liu, Yichuan Wang, Xiao Yan, Haitian Jiang, Zhenkun Cai, Minjie Wang, Bo Tang, Jinyang Li
2025	A*	`conf`	Griffin: Towards a Graph-Centric Relational Database Foundation Model. ICML Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang
2025	J	`jnl`	Griffin: Towards a Graph-Centric Relational Database Foundation Model. CoRR Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang
2025	J	`jnl`	Heta: Distributed Training of Heterogeneous Graph Neural Networks. Proc. VLDB Endow. Yuchen Zhong, Junwei Su, Chuan Wu, Minjie Wang
2025	A*	`conf`	MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. ICLR Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
2025	J	`jnl`	Privacy-Preserving Federated Learning from Partial Decryption Verifiable Threshold Multi-Client Functional Encryption. CoRR Minjie Wang, Jinguang Han, Weizhi Meng
2025	J	`jnl`	Synthesize, Retrieve, and Propagate: A Unified Predictive Modeling Framework for Relational Databases. CoRR Ning Li, Kounianhua Du, Han Zhang, Quan Gan, Minjie Wang, David Wipf, Weinan Zhang
2024	A*	`conf`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. NeurIPS Minjie Wang, Quan Gan, David Wipf, Zheng Zhang, Christos Faloutsos, Weinan Zhang, Muhan Zhang, Zhenkun Cai, Jiahang Li, Zunyao Mao, Yakun Song, Jianheng Tang, Yanlin Zhang, Guang Yang, Chuan Lei, Xiao Qin, Ning Li, Han Zhang, Yanbo Wang, Zizhao Zhang
2024	—	`conf`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. VLDB Workshops 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
2024	J	`jnl`	4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on Relational DBs. CoRR 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
2024	J	`jnl`	BloomGML: Graph Machine Learning through the Lens of Bilevel Optimization. CoRR Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024	J	`jnl`	Causal Discovery with Generalized Linear Models through Peeling Algorithms. J. Mach. Learn. Res. Minjie Wang, Xiaotong Shen, Wei Pan
2024	—	`conf`	DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs. LoG Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang
2024	J	`jnl`	DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs. CoRR Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang
2024	J	`jnl`	Deep progressive reinforcement learning-based flexible resource scheduling framework for IRS and UAV-assisted MEC system. CoRR Li Dong, Feibo Jiang, Minjie Wang, Yubo Peng, Xiaolong Li
2024	J	`jnl`	DiskGNN: Bridging I/O Efficiency and Model Accuracy for Out-of-Core GNN Training. CoRR Renjie Liu, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, Haitian Jiang, Bo Tang, Jinyang Li
2024	A	`conf`	ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. CIKM Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang
2024	J	`jnl`	ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. CoRR Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang
2024	J	`jnl`	FreshGNN: Reducing Memory Access via Stable Historical Embeddings for Graph Neural Network Training. Proc. VLDB Endow. Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2024	A*	`conf`	Graph Machine Learning Meets Multi-Table Relational Data. KDD Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos
2024	A	`conf`	Graph Machine Learning through the Lens of Bilevel Optimization. AISTATS Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf
2024	J	`jnl`	Heta: Distributed Training of Heterogeneous Graph Neural Networks. CoRR Yuchen Zhong, Junwei Su, Chuan Wu, Minjie Wang
2024	—	`conf`	Revolutionizing Intrusive Neural Interfaces: Vascular Stent-Based Neural Electrodes. BCI Liang Shen, Bo Wen, Zihua Chen, Minjie Wang, Linlin Han, Bo Shen, Kai Cao, Lihua Zhang, Jianjun Wu, Xiaoyang Kang
2024	—	`conf`	sEMG-Based Gesture Recognition in Multiple Scenarios Using a Phase Locked Value-Based Deep Learning Method. BIBM Xueze Zhang, Minjie Wang, Zihua Chen, Lu Wang, Hongbo Wang, Xiaoyang Kang
2023	A*	`conf`	DGI: An Easy and Efficient Framework for GNN Model Evaluation. KDD Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
2023	—	`conf`	Distribution of Electrical Stimulation Current of a Minimally Invasive Endovascular Stent-Electrode. BCI Bo Wen, Jing Zhang, Minjie Wang, Lusheng Liu, Yuan Zhang, Aiping Wang, Lu Wang, Lihua Zhang, Xiaoyang Kang
2023	J	`jnl`	GNNFlow: A Distributed Framework for Continuous Temporal GNN Learning on Dynamic Graphs. CoRR Yuchen Zhong, Guangming Sheng, Tianzuo Qin, Minjie Wang, Quan Gan, Chuan Wu
2023	J	`jnl`	Generation of highly retrievable atom photon entanglement with a millisecond lifetime via a spatially multiplexed cavity. Quantum Minjie Wang, Shengzhi Wang, Tengfei Ma, Ya Li, Yan Xie, Haole Jiao, Hailong Liu, Shujing Li, Hai Wang
2023	—	`conf`	Implantable Brain-Computer Interface Based On Printing Technology. BCI Lusheng Liu, Bo Wen, Minjie Wang, Aiping Wang, Jing Zhang, Yuan Zhang, Song Le, Lihua Zhang, Xiaoyang Kang
2023	—	`conf`	Light Radiation Simulation of Micro-LED Array for the Optical Neural Interface Targeted Cerebral Cortex in Rhesus Monkey. BCI Lusheng Liu, Wenlei Zhang, Bo Wen, Minjie Wang, Aiping Wang, Jing Zhang, Yuan Zhang, Song Le, Haifeng Jiang, Rongwei Zhai, Lihua Zhang, Xiaoyang Kang
2023	J	`jnl`	MuseGNN: Interpretable and Convergent Graph Neural Network Layers at Scale. CoRR Haitian Jiang, Renjie Liu, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf
2023	—	`conf`	Optimizing Irregular Dense Operators of Heterogeneous GNN Models on GPU. IPDPS Workshops Israt Nisa, Minjie Wang, Da Zheng, Qiang Fu, Ümit V. Çatalyürek, George Karypis
2023	J	`jnl`	ReFresh: Reducing Memory Access from Exploiting Stable Historical Embeddings for Graph Neural Network Training. CoRR Kezhao Huang, Haitian Jiang, Minjie Wang, Guangxuan Xiao, David Wipf, Xiang Song, Quan Gan, Zengfeng Huang, Jidong Zhai, Zheng Zhang
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) 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 R. 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
2023	A*	`conf`	gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
2022	J	`jnl`	BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan
2022	—	`conf`	CEP3: Community Event Prediction With Neural Point Process on Graph. LoG Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Junchi Yan
2022	J	`jnl`	CEP3: Community Event Prediction with Neural Point Process on Graph. CoRR Xuhong Wang, Sirui Chen, Yixuan He, Minjie Wang, Quan Gan, Yupu Yang, Junchi Yan
2022	J	`jnl`	DGI: Easy and Efficient Inference for GNNs. CoRR Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang
2022	J	`jnl`	Fuzzy deep wavelet neural network with hybrid learning algorithm: Application to electrical resistivity imaging inversion. Knowl. Based Syst. Li Dong, Feibo Jiang, Minjie Wang, Xiaolong Li
2022	—	`conf`	Graphiler: Optimizing Graph Neural Networks with Message Passing Data Flow Graph. MLSys Zhiqiang Xie, Minjie Wang, Zihao Ye, Zheng Zhang, Rui Fan
2021	J	`jnl`	Distributed Hybrid CPU and GPU training for Graph Neural Networks on Billion-Scale Graphs. CoRR Da Zheng, Xiang Song, Chengru Yang, Dominique LaSalle, Qidong Su, Minjie Wang, Chao Ma, George Karypis
2021	—	`conf`	Finger Vein Recognition Using a Shallow Convolutional Neural Network. CCBR Jiazhen Liu, Ziyan Chen, Kaiyang Zhao, Minjie Wang, Zhen Hu, Xinwei Wei, Yicheng Zhu, Yuncong Yu, Zhe Feng, Hakil Kim, Changlong Jin
2021	J	`jnl`	Gaussian Graphical Model Selection for Huge Data via Minipatch Learning. CoRR Tianyi Yao, Minjie Wang, Genevera I. Allen
2021	J	`jnl`	Integrative Generalized Convex Clustering Optimization and Feature Selection for Mixed Multi-View Data. J. Mach. Learn. Res. Minjie Wang, Genevera I. Allen
2021	J	`jnl`	MRI-based nomogram analysis: recognition of anterior peritoneal reflection and its relationship to rectal cancers. BMC Medical Imaging Shaoting Zhang, Fangying Chen, Xiaolu Ma, Minjie Wang, Guanyu Yu, Fu Shen, Xianhua Gao, Jianping Lu
2021	J	`jnl`	Modal parameter identification of general cutter based on milling stability theory. J. Intell. Manuf. Minglong Guo, Zhaocheng Wei, Minjie Wang, Shiquan Li, Jia Wang, Shengxian Liu
2021	A	`conf`	Scalable Graph Neural Networks with Deep Graph Library. WSDM Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis
2021	J	`jnl`	Thresholded Graphical Lasso Adjusts for Latent Variables: Application to Functional Neural Connectivity. CoRR Minjie Wang, Genevera I. Allen
2020	J	`jnl`	An efficient method combining active learning Kriging and Monte Carlo simulation for profust failure probability. Fuzzy Sets Syst. Chunyan Ling, Zhenzhou Lu, Bo Sun, Minjie Wang
2020	—	`conf`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. IA3@SC Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. CoRR Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis
2020	J	`jnl`	FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems. CoRR Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
2020	A	`conf`	FeatGraph: a flexible and efficient backend for graph neural network systems. SC Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang
2020	—	`—`	Flexible and Efficient Systems for Training Emerging Deep Neural Networks. Minjie Wang
2020	—	`conf`	Learning Graph Neural Networks with Deep Graph Library. WWW (Companion Volume) Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2020	A*	`conf`	Scalable Graph Neural Networks with Deep Graph Library. KDD Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis
2020	B	`conf`	XIndex: a scalable learned index for multicore data storage. PPoPP Chuzhe Tang, Youyun Wang, Zhiyuan Dong, Gansen Hu, Zhaoguo Wang, Minjie Wang, Haibo Chen
2019	J	`jnl`	Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR 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
2019	J	`jnl`	Learned Indexes for Dynamic Workloads. CoRR Chuzhe Tang, Zhiyuan Dong, Minjie Wang, Zhaoguo Wang, Haibo Chen
2019	J	`jnl`	Person Re-Identification via Group Symmetry Theory. IEEE Access Jiahuan Zhang, Xuelong Hu, Minjie Wang, Huixiang Qiao, Xian Li, Tianbao Sun
2019	—	`conf`	Pixel and Channel Attention Network for Person Re-identification. IGTA Minjie Wang, Xian Li, Jiahuan Zhang, Haoyu Zhou, Lei Lei, Banghua Yang
2019	A	`conf`	Supporting Very Large Models using Automatic Dataflow Graph Partitioning. EuroSys Minjie Wang, Chien-Chin Huang, Jinyang Li
2018	J	`jnl`	Supporting Very Large Models using Automatic Dataflow Graph Partitioning. CoRR Minjie Wang, Chien-Chin Huang, Jinyang Li
2018	J	`jnl`	Unifying Data, Model and Hybrid Parallelism in Deep Learning via Tensor Tiling. CoRR Minjie Wang, Chien-Chin Huang, Jinyang Li
2018	—	`conf`	Urban Perception of Commercial Activeness from Satellite Images and Streetscapes. WWW (Companion Volume) Wenshan Wang, Su Yang, Zhiyuan He, Minjie Wang, Jiulong Zhang, Weishan Zhang
2017	J	`jnl`	Predicting Commercial Activeness over Urban Big Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Su Yang, Minjie Wang, Wenshan Wang, Yi Sun, Jun Gao, Weishan Zhang, Jiulong Zhang
2016	—	`conf`	Predicting Human Mobility from Region Functions. iThings/GreenCom/CPSCom/SmartData Minjie Wang, Su Yang, Yi Sun, Jun Gao
2015	—	`conf`	Discovering Spatial Contexts for Traffic Flow Prediction with Sparse Representation Based Variable Selection. UIC/ATC/ScalCom Su Yang, Shixiong Shi, Xiaobing Hu, Minjie Wang
2015	J	`jnl`	MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems. CoRR Tianqi Chen, Mu Li, Yutian Li, Min Lin, Naiyan Wang, Minjie Wang, Tianjun Xiao, Bing Xu, Chiyuan Zhang, Zheng Zhang
2015	—	`conf`	Social context awareness from taxi traces: mining how human mobility patterns are shaped by bags of POI. UbiComp/ISWC Adjunct Jingmin Chen, Su Yang, Wenshan Wang, Minjie Wang
2014	—	`conf`	A scalable and topology configurable protocol for distributed parameter synchronization. APSys Minjie Wang, Hucheng Zhou, Minyi Guo, Zheng Zhang
2014	—	`conf`	Impression Store: Compressive Sensing-based Storage for Big Data Analytics. HotCloud Jiaxing Zhang, Ying Yan, Liang Jeff Chen, Minjie Wang, Thomas Moscibroda, Zheng Zhang
2012	J	`jnl`	Context-aware HCI service selection. Mob. Inf. Syst. Yao Shen, Minjie Wang, Xiaoxin Tang, Yi Luo, Minyi Guo
2011	—	`conf`	A Method of Context-Driven HCI Service Selection in Multimodal Interaction Environments. NBiS Minjie Wang, Xiaoxin Tang, Yao Shen, Feilong Tang, Minyi Guo
2011	J	`jnl`	Experimental research of chip formation mechanism during high speed machining of hardened steel. Int. J. Comput. Aided Eng. Technol. Chunzheng Duan, Tao Tou, Minjie Wang