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Lin YANG

Senior Researcher, Noah's Ark Lab, Huawei

About me

I’m currently a senior researcher in Noah’s Ark Lab, Huawei. My research is to empower the next-generation networks with the artificial intelligence. I’m particularly interested in: bayesian optimization, graph learning, and reinforcement learning.

I received my Ph.D. degree from the Department of Computer Science and Technology, Hong Kong University of Science and Technology (HKUST). I worked with Prof. Qian Zhang in Huawei-HKUST Innovation Lab there. Before that, I obtained my B.S degree in Computer Science from South China University of Technology (SCUT ) in June 2008.

Some of my publications:

  • Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen. “Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs.” NeurIPS 2023
  • Kaibin Huang, Qiao Lan, Zhiyan Liu, Lin Yang. “Semantic data sourcing for 6g edge intelligence.” IEEE Comm. Magazine 2023 [paper]
  • Lin Yang, Min Cheng, Jun Qu, Zhitang Chen, “GraphHO: A Graph-based Handover Optimization System for Cellular Networks”. IEEE ISWCS 2022. [paper]
  • Antoine Grosnit, Rasul Tutunov, Alexandre Max Maraval, Ryan-Rhys Griffiths, Alexander I. Cowen-Rivers, Lin Yang, Lin Zhu, Wenlong Lyu, Zhitang Chen, Jun Wang, Jan Peters, Haitham Bou-Ammar, “High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.” Arxiv 2022 [paper]
  • Lin Yang, Zeyu Wang, Wei Wang, and Qian Zhang, “NALoc: Nonlinear Ambient-Light-Sensor-based Localization System”. ACM Ubicomp 2018. [paper]
  • Lin Yang, Wei Wang, Zeyu Wang, and Qian Zhang. “Rainbow: Preventing Mobile-Camera-based Piracy in the Physical World.” IEEE INFOCOM 2018.[paper]
  • Wei Wang, Lin Yang, Qian Zhang, and Tao Jiang. “Configurations and Diagnosis for Ultra-Dense Heterogeneous Networks: From Empirical Measurements to Technical Solutions.” IEEE Network 32, no. 3 (2018): 138-145.
  • Chenyu Huang, Huangxun Chen, Lin Yang, and Qian Zhang. “BreathLive: Liveness Detection for Heart Sound Authentication with Deep Breathing.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, no. 1 (2018): 12.
  • Wei Wang, Lin Yang, and Qian Zhang. “Resonance-based Secure Pairing for Wearables.” IEEE Transactions on Mobile Computing (2018).
  • Wei Wang, Shiyue He, Lin Yang, Qian Zhang, and Tao Jiang. “Wi-Fi Teeter-Totter: Overclocking OFDM for Internet of Things.” IEEE INFOCOM 2018.
  • Lin Yang, Mingxuan Yuan, Yanjiao Chen, Wei Wang, Qian Zhang, and Jia Zeng. “Personalized user engagement modeling for mobile videos.” Computer Networks 126 (2017): 256-267.[paper]
  • Wei Wang, Yingjie Chen, Lin Yang, and Qian Zhang. “Detecting on-body devices through creeping wave propagation.” In INFOCOM 2017-IEEE Conference on Computer Communications, IEEE, pp. 1-9. IEEE, 2017.
  • Lin Yang, Wei Wang, Qian Zhang. “Secret from Muscle: Enabling Secure Pairing with Electromyography.” ACM SenSys, Stanford, USA, Nov. 2016. Acceptance Rate: 17.65% (21 out of 119)[paper]
  • Lin Yang, Wei Wang, Qian Zhang. “VibID: User Identification through Bio-Vibrometry.” ACM/IEEE IPSN, Vienna, Austria, Apr. 2016. Acceptance Rate: 19.65% (23 out of 117)[paper]
  • Wei Wang, Lin Yang, Qian Zhang. “Touch-And-Guard: Secure Pairing Through Hand Resonance.” ACM UbiComp, Heidelberg, Germany, Sep. 2016. Acceptance Rate: 17.21% (21 out of 122)[paper]
  • Lin Yang, Mingxuan Yuan, Wei Wang, Qian Zhang, Jia Zeng. “Apps on the Move: A Fine-Grained Analysis of Usage Behavior of Mobile Apps.” IEEE INFOCOM, San Francisco, USA, Apr. 2016. Acceptance Rate: 18.25% (300 out of 1644)[paper]
  • Jiansong Zhang, Jin Zhang, Kun Tan, Lin Yang, Qian Zhang, and Yongguang Zhang. “Turning Waste into Wealth: Enabling Communication in Guardband Whitespace.” ACM MobiHoc, Hangzhou, China, June. 2015. Acceptance Rate: 14.8% (37 out of 250)
  • Lin Yang, Jin Zhang, and Qian Zhang. “PESC: A parallel system for clustering ECG streams based on MapReduce.” IEEE GlobeCom, Atlanta, USA, Dec. 2013.[paper]