H-Scheduler: Storage-Aware Task Scheduling for Heterogeneous-Storage Spark Clusters. - Fengfeng Pan; Jin Xiong; Yijie Shen; Tianshi Wang 002; Dejun Jiang 001 (ICPADS, 2018)

Stardust: A deep learning serving system in IoT: demo abstract. - Shuochao Yao; Tianshi Wang 002; Jinyang Li 004; Tarek F. Abdelzaher (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 001; Huajie Shao; Shengzhong Liu; Dongxin Liu; Jinyang Li 004; Tianshi Wang 002; Shaohan Hu; Lu Su 001; Jiawei Han 001; et al. (WWW, 2019)

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization. - Chaoqi Yang; Jinyang Li 004; Ruijie Wang 004; Shuochao Yao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang 002; Tarek F. Abdelzaher (ASONAM, 2020)

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks. - Huajie Shao; Shuochao Yao; Andong Jing; Shengzhong Liu; Dongxin Liu; Tianshi Wang 002; Jinyang Li 004; Chaoqi Yang; Ruijie Wang 004; Tarek F. Abdelzaher (ICCCN, 2020)

Scheduling Real-time Deep Learning Services as Imprecise Computations. - Shuochao Yao; Yifan Hao; Yiran Zhao 001; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang 002; Jinyang Li 004; Tarek F. Abdelzaher (RTCSA, 2020)

Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency. - Shuochao Yao; Jinyang Li 004; Dongxin Liu; Tianshi Wang 002; Shengzhong Liu; Huajie Shao; Tarek F. Abdelzaher (SenSys, 2020)

paper2repo: GitHub Repository Recommendation for Academic Papers. - Huajie Shao; Dachun Sun; Jiahao Wu; Zecheng Zhang; Aston Zhang; Shuochao Yao; Shengzhong Liu; Tianshi Wang 002; Chao Zhang 014; Tarek F. Abdelzaher (WWW, 2020)

Multiscale online media simulation with SocialCube. - Tarek F. Abdelzaher; Jiawei Han 001; Yifan Hao; Andong Jing; Dongxin Liu; Shengzhong Liu; Hoang Hai Nguyen; David M. Nicol; Huajie Shao; Tianshi Wang 002; Shuochao Yao; Yu Zhang 044; et al. (Comput. Math. Organ. Theory, 2020)

Disentangling Overlapping Beliefs by Structured Matrix Factorization. - Chaoqi Yang; Jinyang Li 004; Ruijie Wang 004; Shuochao Yao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang 002; Tarek F. Abdelzaher (CoRR, 2020)

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 001; Jinyang Li 004; Tianshi Wang 002; Ruijie Wang 004; Chaoqi Yang; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion. - Shengzhong Liu; Shuochao Yao; Jinyang Li 004; Dongxin Liu; Tianshi Wang 002; Huajie Shao; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective. - Dongxin Liu; Tianshi Wang 002; Shengzhong Liu; Ruijie Wang 004; Shuochao Yao; Tarek F. Abdelzaher (ICCCN, 2021)

Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification. - Dongxin Liu; Peng Wang; Tianshi Wang 002; Tarek F. Abdelzaher (MILCOM, 2021)

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. - Ruijie Wang 004; Zijie Huang 002; Shengzhong Liu; Huajie Shao; Dongxin Liu; Jinyang Li 004; Tianshi Wang 002; Dachun Sun; Shuochao Yao; Tarek F. Abdelzaher (SIGIR, 2021)

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. - Dachun Sun; Chaoqi Yang; Jinyang Li 004; Ruijie Wang 004; Shuochao Yao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang 002; Tarek F. Abdelzaher (Frontiers Big Data, 2021)

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. - Tianshi Wang 002; Shuochao Yao; Shengzhong Liu; Jinyang Li 004; Dongxin Liu; Huajie Shao; Ruijie Wang 004; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services. - Shuochao Yao; Jinyang Li 004; Dongxin Liu; Tianshi Wang 002; Shengzhong Liu; Huajie Shao; Tarek F. Abdelzaher (GetMobile Mob. Comput. Commun., 2021)

IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. - Dongxin Liu; Tarek F. Abdelzaher; Tianshi Wang 002; Yigong Hu; Jinyang Li 004; Shengzhong Liu; Matthew Caesar 001; Deepti Kalasapura; Joydeep Bhattacharyya; Nassy Srour; Jae Kim; Guijun Wang; et al. (ICCCN, 2022)

Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. - Shengzhong Liu; Tianshi Wang 002; Hongpeng Guo; Xinzhe Fu; Philip David; Maggie B. Wigness; Archan Misra; Tarek F. Abdelzaher (ICDCS, 2022)

The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. - Tianshi Wang 002; Denizhan Kara; Jinyang Li 004; Shengzhong Liu; Tarek F. Abdelzaher; Brian Jalaian (MILCOM, 2022)

AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. - Shengzhong Liu; Tianshi Wang 002; Jinyang Li 004; Dachun Sun; Mani B. Srivastava; Tarek F. Abdelzaher (ACM Multimedia, 2022)

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. - Ragini Gupta; Bo Chen 025; Shengzhong Liu; Tianshi Wang 002; Sandeep Singh Sandha; Abel Souza; Klara Nahrstedt; Tarek F. Abdelzaher; Mani B. Srivastava; Prashant J. Shenoy; Jeffrey Smith; Maggie B. Wigness; et al. (ApPLIED@PODC, 2022)

ControlVAE: Tuning, Analytical Properties, and Performance Analysis. - Huajie Shao; Zhisheng Xiao; Shuochao Yao; Dachun Sun; Aston Zhang; Shengzhong Liu; Tianshi Wang 002; Jinyang Li 004; Tarek F. Abdelzaher (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. - Tianshi Wang 002; Jinyang Li 004; Ruijie Wang 004; Denizhan Kara; Shengzhong Liu; Davis Wertheimer; Antoni Viros-i-Martin; Raghu K. Ganti; Mudhakar Srivatsa; Tarek F. Abdelzaher (SenSys, 2023)

The Case for Micro Foundation Models to Support Robust Edge Intelligence. - Tomoyoshi Kimura; Ashitabh Misra; Yizhuo Chen; Denizhan Kara; Jinyang Li 004; Tianshi Wang 002; Ruijie Wang 004; Joydeep Bhattacharyya; Jae Kim; Prashant J. Shenoy; Mani Srivastava 001; Maggie B. Wigness; et al. (CogMI, 2024)

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration. - Jinyang Li 004; Yizhuo Chen; Tomoyoshi Kimura; Tianshi Wang 002; Ruijie Wang 004; Denizhan Kara; Yigong Hu; Li Wu; Walid A. Hanafy; Abel Souza; Prashant J. Shenoy; Maggie B. Wigness; et al. (ICCCN, 2024)

Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model. - Tianshi Wang 002; Yizhuo Chen; Qikai Yang; Dachun Sun; Ruijie Wang 004; Jinyang Li 004; Tomoyoshi Kimura; Tarek F. Abdelzaher (ICCCN, 2024)

Fine-grained Control of Generative Data Augmentation in IoT Sensing. - Tianshi Wang 002; Qikai Yang; Ruijie Wang 004; Dachun Sun; Jinyang Li 004; Yizhuo Chen; Yigong Hu; Chaoqi Yang; Tomoyoshi Kimura; Denizhan Kara; Tarek F. Abdelzaher (NeurIPS, 2024)

PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT. - Denizhan Kara; Tomoyoshi Kimura; Yatong Chen; Jinyang Li 004; Ruijie Wang 004; Yizhuo Chen; Tianshi Wang 002; Shengzhong Liu; Tarek F. Abdelzaher (SenSys, 2024)

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. - Ruijie Wang 004; Yutong Zhang; Jinyang Li 004; Shengzhong Liu; Dachun Sun; Tianchen Wang; Tianshi Wang 002; Yizhuo Chen; Denizhan Kara; Tarek F. Abdelzaher (SIGIR, 2024)

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. - Denizhan Kara; Tomoyoshi Kimura; Shengzhong Liu; Jinyang Li 004; Dongxin Liu; Tianshi Wang 002; Ruijie Wang 004; Yizhuo Chen; Yigong Hu; Tarek F. Abdelzaher (WWW, 2024)

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. - Tomoyoshi Kimura; Jinyang Li 004; Tianshi Wang 002; Denizhan Kara; Yizhuo Chen; Yigong Hu; Ruijie Wang 004; Maggie B. Wigness; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; Tarek F. Abdelzaher (CoRR, 2024)

DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection. - Tianshi Wang 002; Jinyang Li 004; Qikai Yang; Ruijie Wang 004; Yizhuo Chen; Dachun Sun; Bohan Li; Yigong Hu; Tomoyoshi Kimura; Denizhan Kara; Tarek F. Abdelzaher (INFOCOM, 2025)

SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments. - Dachun Sun; You Lyu; Jinning Li 001; Yizhuo Chen; Tianshi Wang 002; Tomoyoshi Kimura; Tarek F. Abdelzaher (SMARTCOMP, 2025)

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. - Tomoyoshi Kimura; Xinlin Li; Osama A. Hanna; Yatong Chen; Yizhuo Chen; Denizhan Kara; Tianshi Wang 002; Jinyang Li 004; Xiaomin Ouyang; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; et al. (WWW, 2025)

M3N-VC: Multi-Modality Multi-Node Vehicle Classification. - Jinyang Li 004; Tianshi Wang 002; Yizhuo Chen; Tomoyoshi Kimura; Yigong Hu; Ruijie Wang 004; Shangchen Wu; Tarek Abedelzaher (Zenodo, 2025)

The bottlenecks of AI: challenges for embedded and real-time research in a data-centric age. - Tarek F. Abdelzaher; Yigong Hu; Denizhan Kara; Tomoyoshi Kimura; Ashitabh Misra; Vishakha Ramani; Olivier Tardieu; Tianshi Wang 002; Maggie B. Wigness; Alaa Youssef (Real Time Syst., 2025)