Integrated Tracking Initiation Mechanism Based on Probability for Bearing-Only Sensor Networks. - Yuanshi Li; Zhi Wang 003; Huajie Shao; Shengsheng Cai; Ming Bao (CWSN, 2012)

Novel closed-form auxiliary variables based algorithms for sensor node localization using AOA. - Hua-Jie Shao; Xiao-Ping Zhang 002; Zhi Wang 003 (ICASSP, 2014)

Optimal Load Balancing and Energy Cost Management for Internet Data Centers in Deregulated Electricity Markets. - Hua-Jie Shao; Lei Rao; Zhi Wang 003; Xue Liu 001; Zhibo Wang 001; Kui Ren 001 (IEEE Trans. Parallel Distributed Syst., 2014)

Efficient Closed-Form Algorithms for AOA Based Self-Localization of Sensor Nodes Using Auxiliary Variables. - Hua-Jie Shao; Xiao-Ping Zhang 002; Zhi Wang 003 (IEEE Trans. Signal Process., 2014)

An Experimental Evaluation of Datacenter Workloads On Low-Power Embedded Micro Servers. - Yiran Zhao 001; Shen Li 002; Shaohan Hu; Hongwei Wang; Shuochao Yao; Huajie Shao; Tarek F. Abdelzaher (Proc. VLDB Endow., 2016)

Demo: Unsupervised Fill-level Estimation for Smart Trash Removal Systems. - Yiran Zhao 001; Shuochao Yao; Shen Li 002; Shaohan Hu; Huajie Shao; Tarek F. Abdelzaher (EWSN, 2017)

GreenDrive: a smartphone-based intelligent speed adaptation system with real-time traffic signal prediction. - Yiran Zhao 001; Shen Li 002; Shaohan Hu; Lu Su 001; Shuochao Yao; Huajie Shao; Hongwei Wang; Tarek F. Abdelzaher (ICCPS, 2017)

Optimizing Source Selection in Social Sensing in the Presence of Influence Graphs. - Huajie Shao; Shiguang Wang; Shen Li 002; Shuochao Yao; Yiran Zhao 001; Md. Tanvir Al Amin; Tarek F. Abdelzaher; Lance M. Kaplan (ICDCS, 2017)

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. - Shuochao Yao; Yiran Zhao 001; Huajie Shao; Aston Zhang; Chao Zhang 014; Shen Li 002; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

VibeBin: A Vibration-Based Waste Bin Level Detection System. - Yiran Zhao 001; Shuochao Yao; Shen Li 002; Shaohan Hu; Huajie Shao; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss. - Peng Sun 003; Liantao Wu; Kai Yu 005; Huajie Shao; Zhi Wang 003 (Sensors, 2017)

Codrive: cooperative driving scheme for vehicles in urban signalized intersections. - Yiran Zhao 001; Shuochao Yao; Huajie Shao; Tarek F. Abdelzaher (ICCPS, 2018)

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)

A Constrained Maximum Likelihood Estimator for Unguided Social Sensing. - Huajie Shao; Shuochao Yao; Yiran Zhao 001; Chao Zhang 014; Jinda Han; Lance M. Kaplan; Lu Su 001; Tarek F. Abdelzaher (INFOCOM, 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)

Deep Learning for the Internet of Things. - Shuochao Yao; Yiran Zhao 001; Aston Zhang; Shaohan Hu; Huajie Shao; Chao Zhang 014; Lu Su 001; Tarek F. Abdelzaher (Computer, 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)

AirMouse: Turning a Pair of Glasses Into a Mouse in the Air. - Zhibo Wang 001; Yijie Li; Bonan Jin; Qian Wang 002; Yunhe Feng; Yanjun Li 004; Huajie Shao (IEEE Internet Things J., 2019)

Privacy-Preserving Crowd-Sourced Statistical Data Publishing with An Untrusted Server. - Zhibo Wang 001; Xiaoyi Pang; Yahong Chen; Huajie Shao; Qian Wang 002; Libing Wu; Honglong Chen; Hairong Qi 001 (IEEE Trans. Mob. Comput., 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)

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)

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

Challenging β-VAE with β<1 for Disentanglement Via Dynamic Learning. - Huajie Shao; Haohong Lin; Qinmin Yang; Shuochao Yao; 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 Orthogonality Constraints for Transformers. - Aston Zhang; Alvin Chan; Yi Tay; Jie Fu 001; Shuohang Wang; Shuai Zhang 007; Huajie Shao; Shuochao Yao; Roy Ka-Wei Lee (ACL/IJCNLP (2), 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)

Simulating Online Social Response: A Stimulus/Response Perspective. - Huajie Shao; Tarek F. Abdelzaher; Jiawei Han 001; Minhao Jiang; Yuning Mao; Yu Meng 001; Wenda Qiu; Dachun Sun; Ruijie Wang 004; Chaoqi Yang; Zhenzhou Yang; Xinyang Zhang 002; et al. (WSC, 2021)

Controllable and Diverse Text Generation in E-commerce. - Huajie Shao; Jun Wang; Haohong Lin; Xuezhou Zhang; Aston Zhang; Heng Ji 001; Tarek F. Abdelzaher (WWW, 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)

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)

Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning. - Peng Sun 003; Haoxuan Che; Zhibo Wang 001; Yuwei Wang 001; Tao Wang; Liantao Wu; Huajie Shao (IEEE J. Sel. Areas Commun., 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)

Trustworthy and Cost-Effective Cell Selection for Sparse Mobile Crowdsensing Systems. - Peng Sun 003; Zhibo Wang 001; Liantao Wu; Huajie Shao; Hairong Qi 001; Zhi Wang 003 (IEEE Trans. Veh. Technol., 2021)

Mining social sensing data: representation, modeling, and applications - Huajie Shao (2021)

Patient Similarity Learning with Selective Forgetting. - Wei Qian; Chenxu Zhao; Huajie Shao; Minghan Chen; Fei Wang 001; Mengdi Huai (BIBM, 2022)

Rethinking Controllable Variational Autoencoders. - Huajie Shao; Yifei Yang; Haohong Lin; Longzhong Lin; Yizhuo Chen; Qinmin Yang; Han Zhao 002 (CVPR, 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)

ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection. - Yifan Zhang; Junwen Yang; Haoyu Dong 003; Qingchen Wang; Huajie Shao; Kevin Leach; Yu Huang 015 (CoRR, 2022)

Phy-Taylor: Physics-Model-Based Deep Neural Networks. - Yanbing Mao; Lui Sha; Huajie Shao; Yuliang Gu; Qixin Wang; Tarek F. Abdelzaher (CoRR, 2022)

COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning. - Yifan Zhang; Chen Huang 006; Yueke Zhang; Kevin Cao; Scott Thomas Andersen; Huajie Shao; Kevin Leach; Yu Huang 015 (CoRR, 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 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)

Hear Sign Language: A Real-Time End-to-End Sign Language Recognition System. - Zhibo Wang 001; Tengda Zhao; Jinxin Ma; Hongkai Chen; Kaixin Liu; Huajie Shao; Qian Wang 002; Ju Ren 001 (IEEE Trans. Mob. Comput., 2022)

A Unified Knowledge Distillation Framework for Deep Directed Graphical Models. - Yizhuo Chen; Kaizhao Liang; Zhe Zeng; Shuochao Yao; Huajie Shao (CVPR, 2023)

Data-Free One-Shot Federated Learning Under Very High Statistical Heterogeneity. - Clare Elizabeth Heinbaugh; Emilio Luz-Ricca; Huajie Shao (ICLR, 2023)

Balancing Privacy Protection and Interpretability in Federated Learning. - Zhe Li 026; Honglong Chen; Zhichen Ni; Huajie Shao (CoRR, 2023)

Condensed Prototype Replay for Class Incremental Learning. - Jiangtao Kong; Zhenyu Zong; Tianyi Zhou 001; Huajie Shao (CoRR, 2023)

Neural Symbolic Regression using Control Variables. - Xieting Chu; Hongjue Zhao; Enze Xu; Hairong Qi 001; Minghan Chen; Huajie Shao (CoRR, 2023)

General-Purpose Multi-Modal OOD Detection Framework. - Viet Duong; Qiong Wu 008; Zhengyi Zhou; Eric Zavesky; Jiahe Chen; Xiangzhou Liu; Wen-Ling Hsu; Huajie Shao (CoRR, 2023)

Gait-Guard: Turn-aware Freezing of Gait Detection for Non-intrusive Intervention Systems. - Kenneth Koltermann; John Clapham; Gina Mari Blackwell; Woosub Jung; Evie N. Burnet; Ye Gao; Huajie Shao; Leslie Cloud; Ingrid Pretzer-Aboff; Gang Zhou (CHASE, 2024)

Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining. - Yudong Gao; Honglong Chen; Peng Sun 003; Zhe Li 026; Junjian Li; Huajie Shao (ICML, 2024)

CAT: Interpretable Concept-based Taylor Additive Models. - Viet Duong; Qiong Wu 008; Zhengyi Zhou; Hongjue Zhao; Chenxiang Luo; Eric Zavesky; Huaxiu Yao; Huajie Shao (KDD, 2024)

Lens: A Foundation Model for Network Traffic in Cybersecurity. - Qineng Wang; Chen Qian; Xiaochang Li; Ziyu Yao 002; Huajie Shao (CoRR, 2024)

C3: Confidence Calibration Model Cascade for Inference-Efficient Cross-Lingual Natural Language Understanding. - Taixi Lu; Haoyu Wang; Huajie Shao; Jing Gao; Huaxiu Yao (CoRR, 2024)

NetBench: A Large-Scale and Comprehensive Network Traffic Benchmark Dataset for Foundation Models. - Chen Qian; Xiaochang Li; Qineng Wang; Gang Zhou; Huajie Shao (CoRR, 2024)

Measuring Copyright Risks of Large Language Model via Partial Information Probing. - Weijie Zhao; Huajie Shao; Zhaozhuo Xu; Suzhen Duan; Denghui Zhang (CoRR, 2024)

Hybrid Memory Replay: Blending Real and Distilled Data for Class Incremental Learning. - Jiangtao Kong; Jiacheng Shi; Ashley Gao; Shaohan Hu; Tianyi Zhou 001; Huajie Shao (CoRR, 2024)

Enhancing Compositional Generalization via Compositional Feature Alignment. - Haoxiang Wang 003; Haozhe Si; Huajie Shao; Han Zhao 002 (Trans. Mach. Learn. Res., 2024)

A General-Purpose Multi-Modal OOD Detection Framework. - Viet Duong; Qiong Wu 008; Zhengyi Zhou; Eric Zavesky; Wen-Ling Hsu; Han Zhao 002; Huajie Shao (Trans. Mach. Learn. Res., 2024)

Blending Two Styles: Generating Inter-domain Images with MiddleGAN. - Collin MacDonald; Zhendong Chu; John A. Stankovic; Huajie Shao; Gang Zhou; Ashley Gao (Trans. Mach. Learn. Res., 2024)

Staged Noise Perturbation for Privacy-Preserving Federated Learning. - Zhe Li 026; Honglong Chen; Yudong Gao; Zhichen Ni; Huansheng Xue; Huajie Shao (IEEE Trans. Sustain. Comput., 2024)

P3SL: Personalized Privacy-Preserving Split Learning on Heterogeneous Edge Devices. - Wei Fan; JinYi Yoon; Xiaochang Li; Huajie Shao; Bo Ji (ICCCN, 2025)

Accelerating Neural ODEs: A Variational Formulation-based Approach. - Hongjue Zhao; Yuchen Wang; Hairong Qi 001; Zijie Huang 002; Han Zhao 002; Lui Sha; Huajie Shao (ICLR, 2025)

Towards More Trustworthy Deep Code Models by Enabling Out-of-Distribution Detection. - Yanfu Yan; Viet Duong; Huajie Shao; Denys Poshyvanyk (ICSE, 2025)

YoooP: You Only Optimize One Prototype per Class for Non-Exemplar Incremental Learning. - Jiangtao Kong; Zhenyu Zong; Tianyi Zhou 001; Huajie Shao (Trans. Mach. Learn. Res., 2025)

Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning. - Weixin Chen; Simon Yu; Huajie Shao; Lui Sha; Han Zhao 002 (CoRR, 2025)

Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing. - Yanbing Mao; Yuliang Gu; Lui Sha; Huajie Shao; Qixin Wang; Tarek F. Abdelzaher (IEEE Trans. Neural Networks Learn. Syst., 2025)

Explore the vulnerability of black-box models via diffusion models. - Jiacheng Shi; Yanfu Zhang; Huajie Shao; Ashley Gao (CoRR, 2025)

A Generalizable Physics-Enhanced State Space Model for Long-Term Dynamics Forecasting in Complex Environments. - Yuchen Wang; Hongjue Zhao; Haohong Lin; Enze Xu; Lifang He 001; Huajie Shao (CoRR, 2025)