I am a fifth-year PhD student in computer science major at the University of Illinois Urbana-Champaign (UIUC), supervised by Prof. Tarek Abdelzaher. My research focuses on applying deep learning techniques to Internet of Things (IoT) sensing applications, with a particular emphasis on time-series data, including inertial, acoustic, electroencephalography (EEG), wireless signals, and video data. I expect to graduate in December 2024.

Research Interests

• Generative AI for IoT: generative data augmentation, diffusion models, knowledge-informed generative models
• Foundation Model for IoT: self-supervised learning, multi-modality fusion
• Edge computing: computation offloading, video streaming

Experiences

• Research Internship, IBM T.J. Watson Research Center, (May.2023 - Aug.2023)
  Worked on building the foundation model for inertial sensor signals. Conducted experiments demonstrating that pre-training on multiple large unlabeled datasets from various inertial sensing applications could benefit a downstream task from a different application. The results offered a promising methodology for training foundation models for inertial sensor signals under severe data scarcity.

Publications

You can also find my articles on my Google Scholar profile.

• Data Augmentation for Human Activity Recognition via Condition Space Interpolation in Generative Model
  Tianshi Wang, Yizhuo Chen, Qikai Yang, Dachun Sun, Jinyang Li, Ruijie Wang, Tarek Abdelzaher
  The 33rd International Conference on Computer Communications and Networks (ICCCN), 2024.

• Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration
  Jinyang Li, Yizhuo Chen, Tomoyoshi Kimura, Tianshi Wang, Ruijie Wang, Denizhan Kara, Yigong Hu, Li Wu, Walid A. Hanafy, Abel Souza, Prashant Shenoy, Maggie Wigness, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh Eckhardt, Denis Osipychev and Tarek Abdelzaher
  The 33rd International Conference on Computer Communications and Networks (ICCCN), 2024.

• MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning
  Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara and Tarek Abdelzaher
  International Conference on Research and Development in Information Retrieval (SIGIR), 2024.

• On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
  Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie Wigness, Shengzhong Liu, Mani Srivastava, Suhas Diggavi and Tarek F. Abdelzaher
  International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), 2024.

• FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing
  Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek Abdelzaher
  The ACM on Web Conference (TheWebConf), 2024.

• SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach
  Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu Ganti, Mudhakar Srivatsa, Tarek Abdelzaher
  The 21st ACM Conference on Embedded Networked Sensor Systems (SenSys), 2023.

• The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example
  Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek Abdelzaher, Brian Jalaian
  IEEE Military Communications Conference (MILCOM), 2022.

• AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading
  Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani Srivastava, Tarek Abdelzaher
  The 30th ACM International Conference on Multimedia (ACM MM), 2022.

• Iobt-os: Optimizing the sensing-to-decision loop for the internet of battlefield things
  Dongxin Liu, Tarek Abdelzaher, Tianshi Wang, Yigong Hu, Jinyang Li, Shengzhong Liu, Matthew Caesar, Deepti Kalasapura, Joydeep Bhattacharyya, Nassy Srour, Jae Kim, Guijun Wang, Greg Kimberly, Shouchao Yao
  International Conference on Computer Communications and Networks (ICCCN), 2022.

• Darts: Distributed iot architecture for real-time, resilient and ai-compressed workflows
  Ragini Gupta, Bo Chen, Shengzhong Liu, Tianshi Wang, Sandeep Singh Sandha, Abel Souza, Klara Nahrstedt, Tarek Abdelzaher, Mani Srivastava, Prashant Shenoy, Jeffrey Smith, Maggie Wigness, Niranjan Suri
  The 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems

• Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency
  Shengzhong Liu, Tianshi Wang, Hongpeng Guo, Xinzhe Fu, Philip David, Maggie Wigness, Archan Misra, Tarek Abdelzaher
  IEEE 42nd international conference on distributed computing systems (ICDCS), 2022.

• Computational modeling of hierarchically polarized groups by structured matrix factorization
  Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F Abdelzaher
  Frontiers in big Data, 2022.

• Self-contrastive learning based semi-supervised radio modulation classification
  Dongxin Liu, Peng Wang, Tianshi Wang, Tarek Abdelzaher
  IEEE Military Communications Conference (MILCOM), 2021.

• ControlVAE: Tuning, analytical properties, and performance analysis
  Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek Abdelzaher
  IEEE transactions on pattern analysis and machine intelligence, 2021.

• Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding
  Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek Abdelzaher
  The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2021.

• Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective
  Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher
  International Conference on Computer Communications and Networks (ICCCN), 2021.

• Dydiff-vae: A dynamic variational framework for information diffusion prediction
  Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek Abdelzaher
  International Conference on Research and Development in Information Retrieval (SIGIR), 2021.

• Deep compressive offloading: Speeding up edge offloading for ai services
  Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek Abdelzaher
  GetMobile: Mobile Computing and Communications, 2021.

• Hierarchical overlapping belief estimation by structured matrix factorization
  Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F Abdelzaher
  IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.

• Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek Abdelzaher
  The 18th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020. (Best Paper Award)

• Handling missing sensors in topology-aware iot applications with gated graph neural network
  Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek Abdelzaher
  The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2020

• Scheduling real-time deep learning services as imprecise computations
  Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek Abdelzaher
  IEEE 26th international conference on embedded and real-time computing systems and applications (RTCSA), 2020

• Misinformation detection and adversarial attack cost analysis in directional social networks
  Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek Abdelzaher
  The 29th International Conference on Computer Communications and Networks (ICCCN), 2020.

• Multiscale online media simulation with socialcube
  Tarek Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, Gyorgy Korniss, Boleslaw K Szymanski
  Computational and Mathematical Organization Theory, 2020.

• Paper2repo: GitHub repository recommendation for academic papers
  Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek Abdelzaher
  The Web Conference (TheWebConf), 2020.

• Giobalfusion: A global attentional deep learning framework for multisensor information fusion
  Shengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek Abdelzaher
  The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2020.

• Disentangling overlapping beliefs by structured matrix factorization
  Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F Abdelzaher
  arXiv e-prints, 2020.

• Stardust: A deep learning serving system in IoT: Demo abstract
  Shuochao Yao, Tianshi Wang, Jinyang Li, Tarek Abdelzaher
  The 17th Conference on Embedded Networked Sensor Systems (SenSys), 2019.

• Stfnets: Learning sensing signals from the time-frequency perspective with short-time fourier neural networks
  Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek Abdelzaher
  The World Wide Web Conference (WWW), 2019.

Service

• Conference Reviewer: NeurIPS 2024; ACM MM 2023, 2024; CVPR 2024; ACL 2024; IoTDI 2023.
• Journal Reviewer: IEEE Internet of Things Journal, IEEE Transactions on Industrial Informatics

Honors & Awards

• Selected Presentation. SRC TECHCON 2024
• Best Paper Award. SenSys 2020