Indoor scene understanding via monocular RGB-D images. - Yanxiang Chen; Daru Pan; Yifei Pan; Shengzhong Liu; Aihua Gu; Meng Wang 001 (Inf. Sci., 2015)

Context-aware data quality estimation in mobile crowdsensing. - Shengzhong Liu; Zhenzhe Zheng; Fan Wu 006; Shaojie Tang 001; Guihai Chen (INFOCOM, 2017)

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Chao Zhang 014; Aston Zhang; Dongxin Liu; Shengzhong Liu; Lu Su 001; Tarek F. Abdelzaher (ICDCS, 2018)

FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Shengzhong Liu; Dongxin Liu; Lu Su 001; Tarek F. Abdelzaher (SenSys, 2018)

A predictive Self-Configuring Simulator for Online Media. - Shuochao Yao; Yifan Hao; Dongxin Liu; Shengzhong Liu; Huajie Shao; Jiahao Wu; Mouna Bamba; Tarek F. Abdelzaher; James Flamino; Boleslaw K. Szymanski (WSC, 2018)

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Chao Zhang 014; Aston Zhang; Shaohan Hu; Dongxin Liu; Shengzhong Liu; Lu Su 001; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Unsupervised Fact-finding with Multi-modal Data in Social Sensing. - Huajie Shao; Shuochao Yao; Yiran Zhao 001; Lu Su 001; Zhibo Wang 001; Dongxin Liu; Shengzhong Liu; Lance M. Kaplan; Tarek F. Abdelzaher (FUSION, 2019)

GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service. - Yiran Zhao 001; Shuochao Yao; Dongxin Liu; Huajie Shao; Shengzhong Liu (ICAC, 2019)

Simulation Evaluation of Fuel-Saving Systems in the City of Chicago. - Yiran Zhao 001; Shuochao Yao; Dongxin Liu; Huajie Shao; Shengzhong Liu; Tarek F. Abdelzaher (ICCCN, 2019)

A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub. - Shengzhong Liu; Shuochao Yao; Dongxin Liu; Huajie Shao; Yiran Zhao 001; Xinzhe Fu; Tarek F. Abdelzaher (ICDCS, 2019)

Eugene: Towards Deep Intelligence as a Service. - Shuochao Yao; Kasthuri Jayarajah; Archan Misra; Tarek F. Abdelzaher; Yifan Hao; Yiran Zhao 001; Ailing Piao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Shaohan Hu; Dulanga Weerakoon (ICDCS, 2019)

SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Dongxin Liu; Shengzhong Liu; Yifan Hao; Ailing Piao; Shaohan Hu; Su Lu; Tarek F. Abdelzaher (INFOCOM, 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; 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; 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; Jinyang Li 004; Chaoqi Yang; Ruijie Wang 004; Tarek F. Abdelzaher (ICCCN, 2020)

ControlVAE: Controllable Variational Autoencoder. - Huajie Shao; Shuochao Yao; Dachun Sun; Aston Zhang; Shengzhong Liu; Dongxin Liu; Jun Wang; Tarek F. Abdelzaher (ICML, 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; Jinyang Li 004; Tarek F. Abdelzaher (RTCSA, 2020)

On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines. - Shengzhong Liu; Shuochao Yao; Xinzhe Fu; Rohan Tabish; Simon Yu; Ayoosh Bansal; Heechul Yun; Lui Sha; Tarek F. Abdelzaher (RTSS, 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; 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; 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; 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; Tarek F. Abdelzaher (CoRR, 2020)

Revisiting "Over-smoothing" in Deep GCNs. - Chaoqi Yang; Ruijie Wang 004; Shuochao Yao; Shengzhong Liu; Tarek F. Abdelzaher (CoRR, 2020)

Controllable Variational Autoencoder. - Huajie Shao; Shuochao Yao; Dachun Sun; Aston Zhang; Shengzhong Liu; Dongxin Liu; Jun Wang; Tarek F. Abdelzaher (CoRR, 2020)

ControlVAE: Tuning, Analytical Properties, and Performance Analysis. - Huajie Shao; Zhisheng Xiao; Shuochao Yao; Aston Zhang; Shengzhong Liu; 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; 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; Huajie Shao; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

On Exploring Attention-based Explanation for Transformer Models in Text Classification. - Shengzhong Liu; Franck Le; Supriyo Chakraborty; Tarek F. Abdelzaher (IEEE BigData, 2021)

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

On Exploring Image Resizing for Optimizing Criticality-based Machine Perception. - Yigong Hu; Shengzhong Liu; Tarek F. Abdelzaher; Maggie B. Wigness; Philip David (RTCSA, 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; Dachun Sun; Shuochao Yao; Tarek F. Abdelzaher (SIGIR, 2021)

Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. - Jinning Li 001; Huajie Shao; Dachun Sun; Ruijie Wang 004; Yuchen Yan; Jinyang Li 004; Shengzhong Liu; Hanghang Tong; Tarek F. Abdelzaher (CoRR, 2021)

LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving. - Jiyang Chen; Simon Yu; Rohan Tabish; Ayoosh Bansal; Shengzhong Liu; Tarek F. Abdelzaher; Lui Sha (CoRR, 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; Tarek F. Abdelzaher (Frontiers Big Data, 2021)

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. - Tianshi Wang; 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; Shengzhong Liu; Huajie Shao; Tarek F. Abdelzaher (GetMobile Mob. Comput. Commun., 2021)

Truth Discovery With Multi-Modal Data in Social Sensing. - Huajie Shao; Dachun Sun; Shuochao Yao; Lu Su 001; Zhibo Wang 001; Dongxin Liu; Shengzhong Liu; Lance M. Kaplan; Tarek F. Abdelzaher (IEEE Trans. Computers, 2021)

IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. - Dongxin Liu; Tarek F. Abdelzaher; Tianshi Wang; 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; 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; 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; Jinyang Li 004; Dachun Sun; Mani B. Srivastava; Tarek F. Abdelzaher (ACM Multimedia, 2022)

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. - Ruijie Wang 004; Zheng Li 018; Dachun Sun; Shengzhong Liu; Jinning Li 001; Bing Yin; Tarek F. Abdelzaher (NeurIPS, 2022)

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. - Ragini Gupta; Bo Chen 025; Shengzhong Liu; Tianshi Wang; 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)

Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception. - Shengzhong Liu; Xinzhe Fu; Maggie B. Wigness; Philip David; Shuochao Yao; Lui Sha; Tarek F. Abdelzaher (RTAS, 2022)

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. - Jinning Li 001; Huajie Shao; Dachun Sun; Ruijie Wang 004; Yuchen Yan; Jinyang Li 004; Shengzhong Liu; Hanghang Tong; Tarek F. Abdelzaher (SIGIR, 2022)

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

Real-time task scheduling with image resizing for criticality-based machine perception. - Yigong Hu; Shengzhong Liu; Tarek F. Abdelzaher; Maggie B. Wigness; Philip David (Real Time Syst., 2022)

Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems. - Shengzhong Liu; Shuochao Yao; Xinzhe Fu; Huajie Shao; Rohan Tabish; Simon Yu; Ayoosh Bansal; Heechul Yun; Lui Sha; Tarek F. Abdelzaher (IEEE Trans. Computers, 2022)

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. - Ruijie Wang 004; Baoyu Li; Yichen Lu; Dachun Sun; Jinning Li 001; Yuchen Yan; Shengzhong Liu; Hanghang Tong; Tarek F. Abdelzaher (ACL (Findings), 2023)

Underprovisioned GPUs: On Sufficient Capacity for Real-Time Mission-Critical Perception. - Yigong Hu; Ila Gokarn; Shengzhong Liu; Archan Misra; Tarek F. Abdelzaher (ICCCN, 2023)

TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications. - Deepti Kalasapura; Jinyang Li 004; Shengzhong Liu; Yizhuo Chen; Ruijie Wang 004; Tarek F. Abdelzaher; Matthew Caesar 001; Joydeep Bhattacharyya; Jae Kim; Guijun Wang; Greg Kimberly; Josh D. Eckhardt; et al. (ICCCN, 2023)

FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. - Shengzhong Liu; Tomoyoshi Kimura; Dongxin Liu; Ruijie Wang 004; Jinyang Li 004; Suhas N. Diggavi; Mani B. Srivastava; Tarek F. Abdelzaher (NeurIPS, 2023)

Work-in-Progress: Algorithms for Canvas-Based Attention Scheduling with Resizing. - Yigong Hu; Ila Gokarn; Shengzhong Liu; Archan Misra; Tarek F. Abdelzaher (RTSS, 2023)

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. - Tianshi Wang; 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)

DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics. - Hongpeng Guo; Beitong Tian; Zhe Yang 010; Bo Chen 025; Qian Zhou; Shengzhong Liu; Klara Nahrstedt; Claudiu Danilov 001 (CoRR, 2023)

Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing. - Shengzhong Liu; Xinzhe Fu; Yigong Hu; Maggie B. Wigness; Philip David; Shuochao Yao; Lui Sha; Tarek F. Abdelzaher (Real Time Syst., 2023)

Algorithms for Canvas-Based Attention Scheduling with Resizing. - Yigong Hu; Ila Gokarn; Shengzhong Liu; Archan Misra; Tarek F. Abdelzaher (RTAS, 2024)

FLEX: Adaptive Task Batch Scheduling with Elastic Fusion in Multi-Modal Multi-View Machine Perception. - Yuhang Xu; Zixuan Liu; Xinzhe Fu; Shengzhong Liu; Fan Wu 006; Guihai Chen (RTSS, 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; Shengzhong Liu; Tarek F. Abdelzaher (SenSys, 2024)

TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning. - Ruijie Wang 004; Jingyuan Huang; Yutong Zhang; Jinyang Li 004; Yufeng Wang; Wanyu Zhao; Shengzhong Liu; Charith Mendis; Tarek F. Abdelzaher (SIGIR, 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; 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; Ruijie Wang 004; Yizhuo Chen; Yigong Hu; Tarek F. Abdelzaher (WWW, 2024)

Digital Twin Model for Lithium-Ion Battery SOC Estimation in Battery Swapping Station. - Ruopeng Wu; Ying Shi; Qin Hu 012; Changjun Xie; Jicheng Yu; Boyang Ma; Shengzhong Liu (IEEE Access, 2024)

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. - Tomoyoshi Kimura; Jinyang Li 004; Tianshi Wang; 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)

Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines. - Shengzhong Liu; Shuochao Yao; Xinzhe Fu; Rohan Tabish; Simon Yu; Ayoosh Bansal; Heechul Yun; Lui Sha; Tarek F. Abdelzaher (Commun. ACM, 2024)

SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal Signals. - Yatong Chen; Chenzhi Hu; Tomoyoshi Kimura; Qinya Li; Shengzhong Liu; Fan Wu 006; Guihai Chen (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)

Pre³: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation. - Junyi Chen; Shihao Bai; Zaijun Wang; Siyu Wu 001; Chuheng Du; Hailong Yang 002; Ruihao Gong; Shengzhong Liu; Fan Wu 006; Guihai Chen (ACL (1), 2025)

Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations. - Maozhe Zhao; Shengzhong Liu; Fan Wu 006; Guihai Chen (SenSys, 2025)

ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality. - Yongxuan Han; Shengzhong Liu; Fan Wu 006; Guihai Chen (WWW, 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; Jinyang Li 004; Xiaomin Ouyang; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; et al. (WWW, 2025)

Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. - Haibo Liu; Chen Gong 006; Zhenzhe Zheng; Shengzhong Liu; Fan Wu 006 (WWW, 2025)

Pre3: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation. - Junyi Chen; Shihao Bai; Zaijun Wang; Siyu Wu 001; Chuheng Du; Hailong Yang 002; Ruihao Gong; Shengzhong Liu; Fan Wu 006; Guihai Chen (CoRR, 2025)

OpenMAE: Efficient Masked Autoencoder for Vibration Sensing with Open-domain Data Enrichment. - Chenzhi Hu; Yatong Chen; Denizhan Kara; Shengzhong Liu; Tarek F. Abdelzaher; Fan Wu 006; Guihai Chen (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)