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

• [2024/03] ‘‘DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation’’ was accepted by SIGIR 2024.

• [2024/02] ‘‘An Experimental Study on Federated Equi-Joins’’ was accepted by Transactions on Knowledge and Data Engineering.

• [2024/02] ‘‘EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control’’ was accepted by UbiComp 2024 (IMWUT vol.8 no.1).

• [2024/01] ‘‘Graph-Constrained Diffusion for End-To-End Path Planning’’ was accepted by ICLR 2024.

• [2024/01] ‘‘SwapNet: Efficient Swapping for DNN Inference on Edge AI devices Beyond the Memory Budget’’ was accepted by Transactions on Mobile Computing.

• [2023/09] ‘‘Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey’’ was accepted by IEEE Communications Surveys & Tutorials.

• [2023/05] ‘‘DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization’’ and ‘‘Localised Adaptive Spatial-Temporal Graph Neural Network’’ were accepted by KDD 2023.

• [2023/04] ‘‘Approximate k-Nearest Neighbor Query over Spatial Data Federation’’ received Best Paper Award at DASFAA 2023.

• [2023/02] ‘‘Genie in the Model: Automatic Generation of Human-in-the-Loop Deep Neural Networks for Mobile Applications’’ was accepted by UbiComp 2023 (IMWUT vol.7 no.1).

• [2023/02] ‘‘Distribution-Regularized Federated Learning on Non-IID Data’’ was accepted by ICDE 2023.

• [2022/11] ‘‘AdaEnlight: Energy-aware Low-light Video Stream Enhancement on Mobile Devices’’ was accepted by UbiComp 2023 (IMWUT vol.6 no.4).

• [2022/11] ‘‘EdgeDuet: Tiling Small Object Detection for Edge Assisted Autonomous Mobile Vision’’ was accepted by Transactions on Networking.

• [2022/11] ‘‘Towards Capacity-Aware Broker Matching: From Recommendation to Assignment’’ and ‘‘Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework’’ were accepted by ICDE 2023.

• [2022/10] ‘‘Efficient and Secure Skyline Queries over Vertical Data Federation’’ was accepted by Transactions on Knowledge and Data Engineering.

• [2022/07] ‘‘Stitching Weight-Shared Deep Neural Networks for Efficient Multitask Inference on GPU’’ was accepted by SECON 2022.

• [2022/05] ‘‘p-Meta: Towards On-device Deep Model Adaptation’’, ‘‘Finding Meta Winning Ticket to Train Your MAML’’, and ‘‘Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch’’ were accepted by KDD 2022.

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:

• Personalized Federated Learning

• On-device DNN Adaptation

• On-device & Collaborative DNN Inference

Selected Publications

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

Surveys & Tutorials

1. [COMST’24] Sicong Liu, Bin Guo, Cheng Fang, Ziqi Wang, Shiyan Luo, Zimu Zhou, Zhiwen Yu, ‘‘Enabling Resource-Efficient AIoT System With Cross-Level Optimization: A Survey’’, IEEE Communications Surveys & Tutorials, vol.26, no.1, pp.389-427, 2024. [pdf]

2. [VLDBJ’20] 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]

3. [IoTJ’18] 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]

4. [COMST’17] 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]

5. [CSUR’16] 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]

6. [TST’15] 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]

7. [CSUR’15] 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]

8. [CSUR’13] 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]

Computing in AIoT Systems

1. [UbiComp’24] Xiaochen Li, Sicong Liu, Zimu Zhou, Bin Guo, Yuan Xu, Zhiwen Yu, ‘‘EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.8, no.1, pp.41:1-41:22, 2024, Melbourne, Australia, Oct 05 - Oct 09, 2024. [pdf]

2. [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]

3. [KDD’23] Wenhao Zhang, Zimu Zhou, Yansheng Wang, Yongxin Tong, ‘‘DM-PFL: Hitchhiking Generic Federated Learning for Efficient Shift-Robust Personalization’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, Aug 06 - Aug 10, 2023. (Research Track) (AR: 313/1416 = 22.1%) [pdf]

4. [KDD’23] Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao, ‘‘Localised Adaptive Spatial-Temporal Graph Neural Network’’, In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Long Beach, CA, USA, Aug 06 - Aug 10, 2023. (Research Track) (AR: 313/1416 = 22.1%) [pdf]

5. [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]

6. [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]

7. [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]

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. [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]

10. [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]

11. [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]

12. [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]

Sensing & AIoT Applications

1. [SIGIR’24] Yu Li, Yi Zhang, Zimu Zhou, Qiang Li, ‘‘DeCoCDR: Deployable Cloud-Device Collaboration for Cross-Domain Recommendation’’, In Proceedings of the International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington D.C., USA, Jul 14 - Jul 18, 2024. [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. [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]

4. [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]

5. [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]

6. [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]

7. [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]

8. [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]

9. [UbiComp’18] Yongpan Zou, Meng Zhao, Zimu Zhou, Jiawei Lin, Mo Li, Kaishun Wu, ‘‘BiLock: User Authentication via Dental Occlusion Biometrics’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.2, no.3, pp.152:1-152:20, 2018, Singapore, Singapore, Oct 08 - Oct 12, 2018. [pdf]

10. [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]

11. [UbiComp’17] Weixi Gu, Yuxun Zhou, Zimu Zhou, Xi Liu, Han Zou, Pei Zhang, Costas J. Spanos, Lin Zhang, ‘‘SugarMate: Non-intrusive Blood Glucose Monitoring with Smartphones’’, In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, vol.1, no.3, pp.54:1-54:27, 2017, Maui, HI, USA, Sep 11 - Sep 15, 2017. [pdf]

12. [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]

13. [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]

14. [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]

15. [INFOCOM’17] Han Xu, Zheng Yang, Zimu Zhou, Ke Yi, Chunyi Peng, ‘‘TUM: Towards Ubiquitous Multi-Device Localization for Cross-Device Interaction’’, In Proceedings of the IEEE International Conference on Computer Communications, Atlanta, GA, USA, May 01 - May 04, 2017. (AR: 292/1395 = 20.9%) [pdf]

16. [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]

17. [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]

18. [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]

19. [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]

20. [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]

21. [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]

22. [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]

23. [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]

24. [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]

25. [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]

26. [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]

27. [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

• Editorship

  • Associate Editor, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2020 -

  • Young Associate Editor, Springer Frontiers of Computer Science (FCS), 2020 - 2022

• Chairs/Co-Chairs

  • 2024: WoWMoM (PhD Forum Co-Chair)

  • 2023: ICPADS (TPC Co-Chair), MDM (Proceedings Chair)

  • 2022: ICPADS (TPC Track Co-Chair, Big Data & Machine Learning System Track)

  • 2021: MASS (TPC Track Co-Chair, AI/ML-based Smart Design Track)

• TPC Member

  • 2024: DASFAA (Senior PC), KDD, SenSys, TheWebConf, VLDB

  • 2023: DCOSS-IoT, ICDE, KDD, PerCom, SenSys, TheWebConf, VLDB

  • 2022: AAAI (Senior PC), KDD, PerCom, SenSys

  • 2021: AAAI, CVPR, KDD, WoWMoM

  • 2020: DASFAA, WoWMoM

  • 2019: ICCCN, ICPADS, WCNC, WoWMoM

  • 2018: DCOSS, MobiQuitous, WCNC, WoWMoM

  • 2017: ICPADS, MobiQuitous, UIC, WoWMoM

Teaching

• CityU SDSC8003 Machine Learning, Spring 2023, Autumn 2023

• CityU SDSC4011 Experimental Research for Social Media, Autumn 2023

• SMU CS106 Computer Hardware and Embedded Systems, Spring 2022, Spring 2021, Spring 2020

• SMU CS204 Interconnection of Cyber-Physical Systems, Autumn 2022, Autumn 2021

Honors & Awards

• Best Paper Award, Springer DASFAA, 2023

• Lee Kong Chian Fellowship, 2021

• Best Paper Award, IEEE MDM, 2021

• Best Student Paper Award, IEEE MDM, 2021

• Best Innovation Paper Award, IEEE UIC, 2019

• Distinguished Paper Award, ACM IMWUT (vol.1), 2018

• Best Paper Award, IEEE ICPADS, 2017

• Honorable Mention Award, ACM CHI, 2017

• Best Paper Award, Tsinghua Science and Technology, 2016

• Best Paper Runner-Up, EAI MobiQuitous 2016

• Hong Kong Ph.D. Fellowship Scheme (HKPFS), 2011-2015