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[1] Xiaoran Fan, Longfei Shangguan, Siddharth Rupavatharam, Yanyong Zhang, Jie Xiong, Yunfei Ma, Richard HowardHeadFi: Bringing Intelligence to All Headphones,  Mobicom 2021

[2]    Wuyang Zhang, Zhezhi He, Luyang Liu, Zhenhua Jia, Yunxin Liu, Marco Gruteser, Dipankar Raychaudhuri, Yanyong ZhangElf: Accelerate High-resolution Mobile Deep Vision with Content-aware Parallel Offloading, Mobicom 2021

[3]    Jiajun Deng, Shaoshuai Shi, Peiwei Li, Wengang Zhou, Yanyong Zhang, Houqiang LiVoxel R-CNN: Towards High Performance Voxel-based 3D Object Detection, AAAI 2021

[4]    Zhu Wang, Zhiwen Yu, Xinye Lou, Bin Guo, Liming Chen. Gesture-Radar: a Dual Doppler Radar Based System for Robust Recognition and Quantitative Profiling of Human Gestures. IEEE Transactions on Human-Machine Systems. 2020

[5]    Xin Wang, Yunji Liang, Zhiwen Yu. Learning Latent Correlation of Heterogeneous Sensors Using Attention Based Temporal Convolutional Network. The 20th IEEE International Conference on Data Mining (ICDM 2020)

[6]    Yan Zhang, Xiaolong Zheng, Liang Liu, Huadong Ma. Multivariate and Multi-frequency LSTM based Fine-grained Productivity Forecasting for Industrial IoT. The 16th International Conference on Mobility, Sensing and Networking (IEEE MSN 2020)

[7]    Yunji Liang, Bin Guo. Zhiwen Yu. A Multi-View Attention-based Deep Learning System for Online Deviant Content Detection. World Wide Web, 2020

[8]    Jinghui Zhang, Jun Zhan, Jiange Li, Jiahui Jin, Lei Qian, Optimizing Execution for Pipelined-based Distributed Deep Learning in a Heterogeneously Networked GPU Cluster, Concurrency and Computation: Practice and Experience, 2020.

[9]    Guangda Chen, Shunyi Yao, Jun Ma, Lifan Pan, Yuan Chen, Pei Xu, Jianmin Ji, Xiaoping Chen: Distributed Non-Communicating Multi-Robot Collision Avoidance via Map-Based Deep Reinforcement Learning. Sensors 20(17): 4836 (2020)

[10] Guangda Chen, Lifan Pan, Yuan Chen, Pei Xu, Zhiqiang Wang, Peichen Wu, Jianmin Ji, Xiaoping Chen: Robot Navigation with Map-Based Deep Reinforcement Learning. ICNSC 2020: 1-6

[11] Shunyi Yao , Guangda Chen , Lifan Pan, Jun Ma, Jianmin Ji, Xiaoping Chen: Multi-Robot Collision Avoidance with Map-based Deep Reinforcement Learning. ICTAI 2020.

[12] 张燕咏张莎张昱吉建民段逸凡黄奕桐彭杰张宇翔基于多模态融合的自动驾驶感知及计算[J]. 计算机研究与发展, 2020, 57(9): 1781-1799.

[13] Ruida Yang, Xin Lin, Jianliang Xu, Yan Yang, Liang He: Optimizing Knowledge Graphs through Voting-based User Feedback. ICDE 2020: 421-432.

[14] Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang: Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME 2020: 1-6.

[15] Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou, Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing, IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(10): 7418-7434.

[16] Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian, Non-convex Non-separable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 6088-6100.

[17] Wenhong Wang, Yuntao Qian, Hongfu Liu, Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020, 13: 5162-5179.

[18] Jing Zhu, Yanan Xu, Yanmin Zhu, Modeling long-term and short-term interests with parallel attentions for session-based recommendation, in DASFAA, Korea, 2020, 654-669.

[19] Haobing Liu, Yanmin Zhu, Yanan Xu,Learning from Heterogeneous Student Behaviors for Multiple Prediction Tasks, in DASFAA, Korea, 2020, 297-313.

[20] Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai,” Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks”, in ACM CIKM, Ireland, 2020, 865-874.

[21] Ying Wen, Kai Xie, Lianghua He, Segmenting Medical MRI via Recurrent Decoding Cell, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), 12452-12459.

[22] Ying Wen, Cheng Xu, Yue Lu, Qingli Li, Haibin Cai, Gabor Feature-Based LogDemons With Inertial Constraint for Nonrigid Image Registration, IEEE Transactions on Image Processing, Vol. 29, 2020, 8238-8250.

[23] Ge WangChen QianKaiyan CuiXiaofeng ShiHan DingWei Xi Han Ding, Jizhong ZhaoJinsong Han: A Universal Method to Combat Multipaths for RFID Sensing[C]//IEEE INFOCOM 2020-IEEE Conference on Computer Communications. IEEE, 2020: 277-286.

[24] Yuxin Yang, Wei Xi, Chengkai Zhu, Yihan Zhao: HomoNet: Unified License Plate Detection and Recognition in Complex Scenes[C]//EAI CollaborateCom Oct. 16-18, 2020, Cyberspace.

[25] Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang, Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables, Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020:2964-2972

[26] Jinghui Zhang, Jun Zhan, Jiange Li, Jiahui Jin, Lei Qian, Optimizing Execution for Pipelined-based Distributed Deep Learning in a Heterogeneously Networked GPU Cluster, Concurrency and Computation: Practice and Experience, 2020, https://doi.org/10.1002/cpe.5923

[27] Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Zhang. A Close Look at Multi-Tenant Parallel CNN Inference for Autonomous Driving. 17th Annual IFIP International Conference on Network and Parallel Computing (NPC2020), Sept.28-30, 2020.

[28] Huitian Wang, Guangxing Cai, Zhaowu Huang, Fang Dong, ADDA: Adaptive Distributed DNN Inference Acceleration in Edge Computing Environment. 25th IEEE International Conference on Parallel and Distributed Systems (ICPADS 2019): 438-445

[29] MUSAAB ALAZIZ,ZHENHUA JIA, RICHARD HOWARD, and XIAODONG LIN,YANYONG ZHANG,In-Bed Body Motion 

Detection and Classification System,ACM Transactions on Sensor Networks, Vol. 16, No. 2, Article 13. Publication date: January 2020.