• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 140 matches

• 2022
• 
  Qing Han, Shusen Yang, Xuebin Ren, Peng Zhao, Cong Zhao, Yimeng Wang:
  PCFed: Privacy-Enhanced and Communication-Efficient Federated Learning for Industrial IoTs. IEEE Trans. Ind. Informatics 18(9): 6181-6191 (2022)
• 
  Yimeng Wang, Shusen Yang, Xuebin Ren, Peng Zhao, Cong Zhao, Xinyu Yang:
  IndustEdge: A Time-Sensitive Networking Enabled Edge-Cloud Collaborative Intelligent Platform for Smart Industry. IEEE Trans. Ind. Informatics 18(4): 2386-2398 (2022)
• 
  Teng Wang, Xinyu Yang, Xuebin Ren, Wei Yu, Shusen Yang:
  Locally Private High-Dimensional Crowdsourced Data Release Based on Copula Functions. IEEE Trans. Serv. Comput. 15(2): 778-792 (2022)
• 
  Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao:
  Ultra-Fast Accurate AoA Estimation via Automotive Massive-MIMO Radar. IEEE Trans. Veh. Technol. 71(2): 1172-1186 (2022)
• 
  Shusen Yang, Xiaofei Wang, Usman Adeel, Cong Zhao, Jia Hu, Xinyu Yang, Julie A. McCann:
  The Design of User-Centric Mobile Crowdsensing with Cooperative D2D Communications. IEEE Wirel. Commun. 29(1): 134-142 (2022)
• 
  Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
  Federated Reinforcement Learning with Environment Heterogeneity. AISTATS 2022: 18-37
• 
  Luhui Wang, Cong Zhao, Shusen Yang, Xinyu Yang, Julie A. McCann:
  ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence. CoRR abs/2203.13061 (2022)
• 
  Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang, Zhihua Zhang:
  Federated Reinforcement Learning with Environment Heterogeneity. CoRR abs/2204.02634 (2022)
• 2021
• 
  Qiutong Yu, Shusen Wang, Hongjie He, Ke Yang, Lingfei Ma, Jonathan Li:
  Reconstructing GRACE-like TWS anomalies for the Canadian landmass using deep learning and land surface model. Int. J. Appl. Earth Obs. Geoinformation 102: 102404 (2021)
• 
  Bin Li, Shusen Wang, Zhiyong Feng, Jun Zhang, Xianbin Cao, Chenglin Zhao:
  Fast Pseudospectrum Estimation for Automotive Massive MIMO Radar. IEEE Internet Things J. 8(20): 15303-15316 (2021)
• 
  Sen Yuan, Ze Yu, Chunsheng Li, Shusen Wang:
  A Novel SAR Sidelobe Suppression Method Based on CNN. IEEE Geosci. Remote. Sens. Lett. 18(1): 132-136 (2021)
• 
  Jiaxin Fan, Mengying Chen, Jian Luo, Shusen Yang, Jinming Shi, Qingling Yao, Xiaodong Zhang, Shuang Du, Huiyang Qu, Yuxuan Cheng, Shuyin Ma, Meijuan Zhang, Xi Xu, Qian Wang, Shuqin Zhan:
  The prediction of asymptomatic carotid atherosclerosis with electronic health records: a comparative study of six machine learning models. BMC Medical Informatics Decis. Mak. 21(1): 115 (2021)
• 
  Detang Zhong, Shusen Wang, Junhua Li:
  Spatiotemporal Downscaling of GRACE Total Water Storage Using Land Surface Model Outputs. Remote. Sens. 13(5): 900 (2021)
• 
  Yimeng Wang, Cong Zhao, Shusen Yang, Xuebin Ren, Luhui Wang, Peng Zhao, Xinyu Yang:
  MPCSM: Microservice Placement for Edge-Cloud Collaborative Smart Manufacturing. IEEE Trans. Ind. Informatics 17(9): 5898-5908 (2021)
• 
  Bin Li, Shusen Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao:
  Fast Randomized-MUSIC for Mm-Wave Massive MIMO Radars. IEEE Trans. Veh. Technol. 70(2): 1952-1956 (2021)
• 
  Yuh-Chung Lin, Shusen Kuang, Kuo-Chi Chang, Hui-Qiong Deng, Fu-Hsiang Chang, Hsiao-Chuan Wang, Tsui-Lien Hsu, Yu-Wen Zhou, David Kwabena Amesimenu:
  Algorithm Optimization of Short-Term Load Forecasting Model Based on Least Square Support Vector Machine. AICV 2021: 279-287
• 
  Shaoyi Huang, Shiyang Chen, Hongwu Peng, Daniel Manu, Zhenglun Kong, Geng Yuan, Lei Yang, Shusen Wang, Hang Liu, Caiwen Ding:
  HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. ACM Great Lakes Symposium on VLSI 2021: 169-174
• 
  Xiang Li, Shusen Wang, Kun Chen, Zhihua Zhang:
  Communication-Efficient Distributed SVD via Local Power Iterations. ICML 2021: 6504-6514
• 
  Mengjiao Zhang, Shusen Wang:
  Matrix Sketching for Secure Collaborative Machine Learning. ICML 2021: 12589-12599
• 
  Hongwu Peng, Shaoyi Huang, Tong Geng, Ang Li, Weiwen Jiang, Hang Liu, Shusen Wang, Caiwen Ding:
  Accelerating Transformer-based Deep Learning Models on FPGAs using Column Balanced Block Pruning. ISQED 2021: 142-148
• 
  Bin Li, Shuseng Wang, Jun Zhang, Xianbin Cao, Chenglin Zhao:
  Fast Randomized-MUSIC for mm-Wave Massive MIMO Radars. CoRR abs/2101.04570 (2021)
• 
  Xiao Guo, Xiang Li, Xiangyu Chang, Shusen Wang, Zhihua Zhang:
  Privacy-Preserving Distributed SVD via Federated Power. CoRR abs/2103.00704 (2021)
• 
  Zhikun Liu, Yuanpeng Liu, Yuan Hong, Jinwen Meng, Jianguo Wang, Shusen Zheng, Xiao Xu:
  Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study. CoRR abs/2106.00090 (2021)
• 2020
• 
  Yue Chang, Shusen Liu, Xiaowei He, Sheng Li, Guoping Wang:
  Semi-analytical Solid Boundary Conditions for Free Surface Flows. Comput. Graph. Forum 39(7): 131-141 (2020)
• 
  Bin Li, Shuseng Wang, Jun Zhang, Xianbin Cao, Jun Zhang, Chenglin Zhao:
  Randomized Approximate Channel Estimator in Massive-MIMO Communication. IEEE Commun. Lett. 24(10): 2314-2318 (2020)
• 
  Shusen Zhang, Yuanyuan Lu, Zhongxin Liu, Xiaopeng Li, Zhihua Wang, Zhigang Cai:
  Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma. J. Comput. Biol. 27(10): 1532-1543 (2020)
• 
  Shusen Liu, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom:
  Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications. IEEE Trans. Vis. Comput. Graph. 26(1): 291-300 (2020)
• 
  Xiang Li, Shusen Wang, Zhihua Zhang:
  Do Subsampled Newton Methods Work for High-Dimensional Data? AAAI 2020: 4723-4730
• 
  Songgaojun Deng, Shusen Wang, Huzefa Rangwala, Lijing Wang, Yue Ning:
  Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction. CIKM 2020: 245-254
• 
  Xiang Li, Kaixuan Huang, Wenhao Yang, Shusen Wang, Zhihua Zhang:
  On the Convergence of FedAvg on Non-IID Data. ICLR 2020

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