Profile-Photo-Zimu 

Zimu Zhou | 周子慕

Assistant Professor
School of Data Science
City University of Hong Kong

16-226, 16/F, Lau Ming Wai Academic Building,
City University of Hong Kong,
83 Tat Chee Avenue, Kowloon Tong, Hong Kong
zimuzhou [at] cityu [dot] edu [dot] hk

News

Biography

Zimu Zhou is currently an assistant professor at the School of Data Science (SDSc), City University of Hong Kong. He received his Ph.D. in 2016 in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), under supervision of Prof. Linoel M. Ni and Prof. Yunhao Liu. He received his B.E. in 2011 in the Department of Electronic Engineering, Tsinghua University. From 2016 to 2019, he was a postdoctoral researcher at the Computer Engineering and Networks Laboratory, ETH Zurich, under supervision of Prof. Dr. Lothar Thiele. From 2020 to 2022, he was an assistant professor at the School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Research Interests

I work on mobile and ubiquitous computing, with a focus on AIoT (AI + IoT). The vision is to integrate sensing, computing and decision-making into everyday IoT systems for intelligent individual and urban services. I design algorithms and software to enable efficient, scalable, and high-fidelity perception and reaction on resource-constrained IoT platforms and systems. My research adopts an interdisciplinary approach and draws insights from mobile systems, machine learning, and domain sciences. Some on-going research topics include:

Selected Publications

[Full List] [Google Scholar] [DBLP]
* Corresponding Author

Surveys & Tutorials

  1. [VLDBJ] Yongxin Tong, Zimu Zhou, Yuxiang Zeng, Lei Chen, Cyrus Shahabi, ‘‘Spatial Crowdsourcing: A Survey’’, Springer The International Journal on Very Large Data Bases, vol. 29, no. 1, pp.217-250, 2020. [pdf]

  2. [IoTJ] Balz Maag, Zimu Zhou, Lothar Thiele, ‘‘A Survey on Sensor Calibration in Air Pollution Monitoring Deployments’’, IEEE Internet of Things Journal, vol.5, no.6, pp.4857-4870, 2018. [pdf]

  3. [COMST] Bin Guo, Qi Han, Huihui Chen, Longfei Shangguan, Zimu Zhou, Zhiwen Yu, ‘‘The Emergence of Visual Crowdsensing: Challenges and Opportunities’’, IEEE Communications Surveys & Tutorials, vol.19, no.4, pp.2526-2543, 2017. [pdf]

  4. [CSUR] Jiang Xiao, Zimu Zhou, Youwen Yi, Lionel M. Ni, ‘‘A Survey on Wireless Indoor Localization from the Device Perspective’’, ACM Computing Surveys, vol.49, no.2, pp.25:1-25:31, 2016. [pdf]

  5. [TST] Zimu Zhou, Chenshu Wu, Zheng Yang, Yunhao Liu ‘‘Sensorless Sensing with WiFi’’, Tsinghua Science and Technology, vol.20, no.1, pp.1-6, 2015. (Best Paper Award) [pdf]

  6. [CSUR] Zheng Yang, Chenshu Wu, Zimu Zhou, Xinglin Zhang, Xu Wang, Yunhao Liu, ‘‘Mobility Increases Localizability: A Survey on Wireless Indoor Localization using Inertial Sensors’’, ACM Computing Surveys, vol.47, no.3, pp.54:1-54:34, 2015. [pdf]

  7. [CSUR] Zheng Yang, Zimu Zhou, Yunhao Liu, ‘‘From RSSI to CSI: Indoor Localization via Channel Response’’, ACM Computing Surveys, vol.46, no.2, pp.25:1-25:32, 2013. [pdf]

Machine Learning for Mobile & IoT Systems

  1. [UbiComp’23] Yanfei Wang, Zhiwen Yu, Sicong Liu, Zimu Zhou, Bin Guo, ‘‘Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.7, no.1, pp.36:1-36:29, 2023, Cancun, Mexico, Oct 08 - Oct 12, 2023. [pdf]

  2. [UbiComp’23] Sicong Liu, Xiaochen Li, Zimu Zhou, Bin Guo, Meng Zhang, Haocheng Shen, Zhiwen Yu, ‘‘AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.6, no.4, pp.172:1-172:26, 2022, Cancun, Mexico, Oct 08 - Oct 12, 2023. [pdf]

  3. [ICDE’23] Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang, ‘‘Distribution-Regularized Federated Learning on Non-IID Data’’, In Proceedings of the IEEE International Conference on Data Engineering, Anaheim, CA, USA, Apr 03 - Apr 07, 2023. (Research Track) [pdf]

  4. [SECON’22] Zeyu Wang, Xiaoxi He, Zimu Zhou*, Xu Wang, Qiang Ma, Xin Miao, Zhuo Liu, Lothar Thiele, Zheng Yang, ‘‘Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU’’, In Proceedings of the IEEE International Conference on Sensing, Communication, and Networking, Virtual, Sep 20 - Sep 23, 2022. (AR: 57/218 = 26.1%) [pdf]

  5. [KDD’22] Zhongnan Qu, Zimu Zhou*, Yongxin Tong, Lothar Thiele, ‘‘p-Meta: Towards On-device Deep Model Adaptation’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, Aug 14 - Aug 18, 2022. (Research Track) (AR: 254/1695 = 15.0%) [pdf]

  6. [KDD’22] Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding, ‘‘Finding Meta Winning Ticket to Train Your MAML’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, Aug 14 - Aug 18, 2022. (Research Track) (AR: 254/1695 = 15.0%) [pdf]

  7. [CIKM’21] Dawei Gao, Xiaoxi He, Zimu Zhou*, Yongxin Tong, Lothar Thiele, ‘‘Pruning Meta-Trained Networks for On-Device Adaptation’’, In Proceedings of the ACM International Conference on Information and Knowledge Management, Virtual, Nov 01 - Nov 05, 2021. (AR: 271/1251 = 21.7%) [pdf]

  8. [KDD’21] Xiaoxi He, Dawei Gao, Zimu Zhou*, Yongxin Tong, Lothar Thiele, ‘‘Pruning-Aware Merging for Efficient Multitask Inference’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Virtual, Aug 14 - Aug 18, 2021. (Research Track) (AR: 238/1541 = 15.4%) [pdf]

  9. [INFOCOM’21] Xu Wang, Zheng Yang, Jiahang Wu, Yi Zhao, Zimu Zhou, ‘‘EdgeDuet: Tiling Small Object Detection for Edge Assisted Autonomous Mobile Vision’’, In Proceedings of the IEEE International Conference on Computer Communications, Virtual, May 10 - May 13, 2021. (AR: 252/1266 = 19.9%) [pdf]

  10. [KDD’20] Dawei Gao, Xiaoxi He, Zimu Zhou*, Yongxin Tong, Ke Xu, Lothar Thiele, ‘‘Rethinking Pruning for Accelerating Deep Inference At the Edge’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Virtual, Aug 23 - Aug 27, 2020. (Research Track) (AR: 216/1279 = 16.9%) [pdf] [code]

  11. [CVPR’20] Zhongnan Qu, Zimu Zhou*, Yun Cheng, Lothar Thiele, ‘‘Adaptive Loss-aware Quantization for Multi-bit Networks’’, In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, Jun 14 - Jun 19, 2020. (AR: 1470/6656 = 22.1%) [pdf] [supplementary] [code]

  12. [NeurIPS’18] Xiaoxi He, Zimu Zhou*, Lothar Thiele, ‘‘Multi-Task Zipping via Layer-wise Neuron Sharing’’, In Proceedings of Advances in Neural Information Processing Systems, Montreal, Canada, Dec 03 - Dec 08, 2018. (AR: 1011/4856 = 20.8%) [pdf] [code]

  13. [MobiSys’18] Sicong Liu, Yingyan Lin, Zimu Zhou, Kaiming Nan, Hui Liu, Junzhao Du, ‘‘On-Demand Deep Model Compression for Mobile Devices: A Usage-Driven Model Selection Framework’’, In Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services, Munich, Germany, Jun 10 - Jun 15, 2018. (AR: 37/138 = 26.8%) [pdf]

Mobility Management & Mining

  1. [ICDE’23] Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu, ‘‘Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework’’, In Proceedings of the IEEE International Conference on Data Engineering, Anaheim, CA, USA, Apr 03 - Apr 07, 2023. (Research Track) [pdf]

  2. [VLDB’22] Yongxin Tong, Xuchen Pan, Yuxiang Zeng, Yexuan Shi, Chunbo Xue, Zimu Zhou, Xiaofei Zhang, Lei Chen, Yi Xu, Ke Xu, Weifeng Lv, ‘‘Hu-Fu: Efficient and Secure Spatial Queries over Data Federation’’, In Proceedings of the VLDB Endowment, vol.15, no.6, Sydney, Australia, Sep 05 - Sep 09, 2022. [pdf]

  3. [KDD’22] Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv, ‘‘Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, Aug 14 - Aug 18, 2022. (Applied Data Science Track) [pdf]

  4. [ICDE’22] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li, ‘‘Adaptive Task Planning for Large-Scale Robotized Warehouses’’, In Proceedings of the IEEE International Conference on Data Engineering, Virtual, May 09 - May 12, 2022. (Industry and Applications Track) [pdf]

  5. [KDD’21] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang, ‘‘Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Virtual, Aug 14 - Aug 18, 2021. (Applied Data Science Track) (AR: 138/705 = 19.6%) [pdf]

  6. [MDM’21] Hao Cheng, Shuyue Wei, Lingyu Zhang, Zimu Zhou, Yongxin Tong, ‘‘Engaging Drivers via Competition: A Case Study with Arena’’, In Proceedings of the IEEE International Conference on Mobile Data Management, Virtual, Jun 15 - Jun 18, 2021. (Best Student Paper Award) [pdf]

  7. [MDM’21] Qian Tao, Yongxin Tong, Shuyuan Li, Yuxiang Zeng, Zimu Zhou, Ke Xu, ‘‘A Differentially Private Task Planning Framework for Spatial Crowdsourcing’’, In Proceedings of the IEEE International Conference on Mobile Data Management, Virtual, Jun 15 - Jun 18, 2021. (Best Paper Award) [pdf]

  8. [ICDE’20] Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu, ‘‘Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach’’, In Proceedings of the IEEE International Conference on Data Engineering, Virtual, Apr 20 - Apr 24, 2020. [pdf]

  9. [INFOCOM’19] Yi Zhao, Zimu Zhou, Xu Wang, Tongtong Liu, Yunhao Liu, Zheng Yang, ‘‘CellTradeMap: Delineating Trade Areas for Urban Commercial Districts with Cellular Networks’’, In Proceedings of the IEEE International Conference on Computer Communications, Paris, France, Apr 29 - May 02, 2019. (AR: 288/1464 = 19.7%) [pdf]

  10. [AAAI’19] Boming Zhao, Pan Xu*, Yexuan Shi, Yongxin Tong, Zimu Zhou*, Yuxiang Zeng, ‘‘Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach’’, In Proceedings of the AAAI Conference on Artificial Intelligence, Honolulu, HI, USA, Jan 27 - Feb 01, 2019. (AR: 1150/7095 = 16.2%) [pdf]

  11. [VLDB’18] Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu, ‘‘A Unified Approach to Route Planning for Shared Mobility’’, In Proceedings of the VLDB Endowment, vol.11, no.11, Rio de Janeiro, Brazil, Aug 27 - Aug 31, 2018. [pdf]

  12. [KDD’18] Bowen Du, Yongxin Tong, Zimu Zhou, Qian Tao, Wenjun Zhou, ‘‘Demand-Aware Charger Planning for Electric Vehicle Sharing’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, Aug 19 - Aug 23, 2018. (Research Track) (AR: 181/983 = 18.4%) [pdf]

  13. [SIGMOD’18] Yongxin Tong, Libin Wang, Zimu Zhou*, Lei Chen, Bowen Du*, Jieping Ye, ‘‘Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach’’, In Proceedings of the ACM International Conference on Management of Data, Houston, TX, USA, Jun 10 - Jun 15, 2018. [pdf]

  14. [ICDE’18] Yuxiang Zeng, Yongxin Tong, Lei Chen, Zimu Zhou, ‘‘Latency-oriented Task Completion via Spatial Crowdsourcing’’, In Proceedings of the IEEE International Conference on Data Engineering, Paris, France, Apr 16 - Apr 19, 2018. [pdf]

  15. [ICNP’17] Xu Wang, Zimu Zhou, Zheng Yang, Yunhao Liu, Chunyi Peng, ‘‘Spatio-Temporal Analysis and Prediction of Cellular Traffic in Metropolis’’, In Proceedings of IEEE International Conference on Network Protocols, Toronto, Canada, Oct 10 - Oct 13, 2017. (AR: 39/209 = 18.7%) [pdf]

  16. [VLDB’17] Yongxin Tong, Libin Wang, Zimu Zhou, Bolin Ding, Lei Chen, Jieping Ye, Ke Xu, ‘‘Flexible Online Task Assignment in Real-Time Spatial Data’’, In Proceedings of the VLDB Endowment, vol.10, no.11, pp.1334-1345, Munich, Germany, Aug 28 - Sep 01, 2017. [pdf]

  17. [KDD’17] Yongxin Tong, Yuqiang Chen, Zimu Zhou, Lei Chen, Jie Wang, Qiang Yang, Jieping Ye, Weifeng Lv, ‘‘The Simpler The Better: A Unified Approach to Predicting Original Taxi Demands on Large-Scale Online Platforms’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, Canada, Aug 13 - Aug 17, 2017. (Applied Data Science Track, Oral) (AR: 35/396 = 8.8%) [pdf]

Mobile & Ubiquitous Sensing

  1. [UbiComp’22] Yun Cheng, Zimu Zhou*, Lothar Thiele, ‘‘iSpray: Reducing Urban Air Pollution with Intelligent Water Spraying’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.6, no.1, pp.4:1-4:29, 2022, Atlanta, GA, USA, Sep 11 - Sep 15, 2022. [pdf]

  2. [UbiComp’21] Shu Liu, Kevin Koch, Zimu Zhou, Simon Föll, Xiaoxi He, Tina Menke, Elgar Fleisch, Felix Wortmann, ‘‘The Empathetic Car: Exploring Emotion Inference via Driver Behaviour and Traffic Context’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.5, no.3, pp.117:1-117:34, 2021, Virtual, Sep 21 - Sep 26, 2021. [pdf]

  3. [IoTDI’20] Yun Cheng, Xiaoxi He, Zimu Zhou*, Lothar Thiele, ‘‘MapTransfer: Urban Air Quality Map Generation for Downscaled Sensor Deployments’’, In Proceedings of the ACM/IEEE International Conference on Internet of Things Design and Implementation, Virtual, Apr 21 - Apr 24, 2020. [pdf]

  4. [UbiComp’19] Yun Cheng, Xiaoxi He, Zimu Zhou*, Lothar Thiele, ‘‘ICT: In-field Calibration Transfer for Air Quality Sensor Deployments’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.3, no.1, pp.6:1-6:19, 2019, London, UK, Sep 09 - Sep 13, 2019. [pdf]

  5. [UIC’19] Balz Maag, Zimu Zhou, Lothar Thiele, ‘‘Enhancing Multi-Hop Sensor Calibration with Uncertainty Estimates’’, In Proceedings of the IEEE International Conference on Ubiquitous Intelligence and Computing, Leicester, UK, Aug 19 - Aug 23, 2019. (Best Innovation Paper Award) [pdf]

  6. [UbiComp’18] Balz Maag, Zimu Zhou*, Lothar Thiele, ‘‘W-Air: Enabling Personal Air Pollution Monitoring on Wearables’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.2, no.1, pp.24:1-24:25, 2018, Singapore, Singapore, Oct 08 - Oct 12, 2018. [pdf]

  7. [ICPADS’17] Balz Maag, Zimu Zhou, Olga Saukh, Lothar Thiele, ‘‘BARTON: Low Power Tongue Movement Sensing with In-ear Barometers’’, In Proceedings of the IEEE International Conference on Parallel and Distributed Systems, Shenzhen, China, Dec 15 - Dec 17, 2017. (Best Paper Award) [pdf]

  8. [UbiComp’17] Balz Maag, Zimu Zhou*, Olga Saukh, Lothar Thiele, ‘‘SCAN: Multi-Hop Calibration for Mobile Sensor Arrays’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.1, no.2, pp.19:1-19:21, 2017, Maui, HI, USA, Sep 11 - Sep 15, 2017. [pdf]

  9. [UbiComp’17] Sicong Liu, Zimu Zhou, Junzhao Du, Longfei Shangguan, Jun Han, Xin Wang, ‘‘UbiEar: Bringing Location-independent Sound Awareness to the Hard-of-hearing People with Smartphones’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.1, no.2, pp.17:1-17:24, 2017, Maui, HI, USA, Sep 11 - Sep 15, 2017. (Distinguished Paper Award) [pdf]

  10. [MobiSys’17] Longfei Shangguan, Zimu Zhou, Kyle Jamieson, ‘‘Enabling Gesture-based Interactions with Objects’’, In Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services, Niagara Falls, NY, USA, Jun 19 - Jun 23, 2017. (AR: 34/188 = 18.1%) [pdf]

  11. [CHI’17] Kun Qian, Chenshu Wu, Zimu Zhou, Yue Zheng, Zheng Yang, Yunhao Liu, ‘‘Inferring Motion Direction using Commodity Wi-Fi for Interactive Exergames’’, In Proceedings of the ACM CHI Conference on Human Factors in Computing Systems, Denver, CO, USA, May 06 - May 11, 2017. (Honorable Mention Award) (AR: ~600/2424 = ~25.0%) [pdf] [demo]

  12. [UbiComp’16] Han Xu, Zheng Yang, Zimu Zhou, Longfei Shangguan, Ke Yi, Yunhao Liu, ‘‘Indoor Localization via Multi-Modal Sensing on Smartphones’’, In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany, Sep 12 - Sep 16, 2016. (AR: 115/481 = 23.9%) [pdf]

  13. [INFOCOM’16] Xiaolong Zheng, Jiliang Wang, Longfei Shangguan, Zimu Zhou, Yunhao Liu, ‘‘Smokey: Ubiquitous Smoking Detection with Commercial WiFi Infrastructures’’, In Proceedings of the IEEE International Conference on Computer Communications, San Francisco, CA, USA, Apr 10 - Apr 15, 2016. (AR: 300/1644 = 18.3%) [pdf]

  14. [INFOCOM’16] Kun Qian, Chenshu Wu, Zheng Yang, Zimu Zhou, Xu Wang, Yunhao Liu, ‘‘Tuning by Turning: Enabling Phased Array Signal Processing for WiFi with Inertial Sensors’’, In Proceedings of the IEEE International Conference on Computer Communications, San Francisco, CA, USA, Apr 10 - Apr 15, 2016. (AR: 300/1644 = 18.3%) [pdf]

  15. [SenSys’15] Longfei Shangguan, Zimu Zhou, Xiaolong Zheng, Lei Yang, Yunhao Liu, Jinsong Han, ‘‘ShopMiner: Mining Customer Shopping Behavior in Physical Clothing Stores with Passive RFIDs’’, In Proceedings of the ACM Conference on Embedded Networked Sensor Systems, Seoul, South Korea, Nov 01 - Nov 04, 2015. (AR: 27/132 = 20.5%) [pdf]

  16. [SenSys’15] Han Ding, Longfei Shangguan, Zheng Yang, Jinsong Han, Zimu Zhou, Panlong Yang, Wei Xi, Jizhong Zhao, ‘‘FEMO: A Platform for Free-weight Exercise Monitoring with RFIDs’’, In Proceedings of the ACM Conference on Embedded Networked Sensor Systems, Seoul, South Korea, Nov 01 - Nov 04, 2015. (AR: 27/132 = 20.5%) [pdf]

  17. [UbiComp’15] Han Xu, Zheng Yang, Zimu Zhou, Longfei Shangguan, Yunhao Liu, Ke Yi, ‘‘Enhancing WiFi-based Localization with Visual Clues’’, In Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan, Sep 07 - Sep 11, 2015. (AR: 93/394 = 23.6%) [pdf]

  18. [NSDI’15] Longfei Shangguan, Zheng Yang, Alex X. Liu, Zimu Zhou, Yunhao Liu, ‘‘Relative Localization of RFID Tags using Spatial-Temporal Phase Profiling’’, In Proceedings of the USENIX Symposium on Networked Systems Design and Implementation, Oakland, CA, USA, May 04 - May 06, 2015. (AR: 42/213 = 19.7%) [pdf]

  19. [INFOCOM’15] Chenshu Wu, Zheng Yang, Zimu Zhou, Kun Qian, Yunhao Liu, Mingyan Liu, ‘‘PhaseU: Real-time LOS Identification with WiFi’’, In Proceedings of the IEEE International Conference on Computer Communications, Hong Kong, China, Apr 26 - May 01, 2015. (AR: 316/1640 = 19.3%) [pdf]

  20. [MobiCom’14] Guanhua Wang, Yongpan Zou, Zimu Zhou, Kaishun Wu, Lionel M. Ni, ‘‘We Can Hear You with Wi-Fi!’’, In Proceedings of the ACM International Conference on Mobile Computing and Networking, Maui, HI, USA, Sep 07 - Sep 11, 2014. (AR: 36/220 = 16.4%) [pdf]

  21. [INFOCOM’14] Zimu Zhou, Zheng Yang, Chenshu Wu, Wei Sun, Yunhao Liu, ‘‘LiFi: Line-Of-Sight Identification with WiFi’’, In Proceedings of the IEEE International Conference on Computer Communications, Toronto, Canada, Apr 27 - May 02, 2014. (AR: 319/1650 = 19.3%) [pdf]

  22. [INFOCOM’13] Zimu Zhou, Zheng Yang, Chenshu Wu, Longfei Shangguan, Yunhao Liu, ‘‘Towards Omnidirectional Passive Human Detection’’, In Proceedings of the IEEE International Conference on Computer Communications, Turin, Italy, Apr 14 - Apr 19, 2013. (AR: 280/1613 = 17.4%) [pdf]

Professional Activities

Teaching

Honors & Awards

Misc.