Tianshi Wang

According to our database, Tianshi Wang authored at least 38 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

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, Maggie B. Wigness, Alaa Youssef

Real Time Syst., June, 2025

M3N-VC: Multi-Modality Multi-Node Vehicle Classification.

Jinyang Li, Tianshi Wang, Yizhuo Chen, Tomoyoshi Kimura, Yigong Hu, Ruijie Wang, Shangchen Wu, Tarek Abedelzaher

Dataset, April, 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, Xiaomin Ouyang, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher

Proceedings of the ACM on Web Conference 2025, 2025

SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media Environments.

Dachun Sun, You Lyu, Jinning Li, Yizhuo Chen, Tianshi Wang, Tomoyoshi Kimura, Tarek F. Abdelzaher

Proceedings of the IEEE International Conference on Smart Computing, 2025

DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection.

Tianshi Wang, Jinyang Li, Qikai Yang, Ruijie Wang, Yizhuo Chen, Dachun Sun, Bohan Li, Yigong Hu, Tomoyoshi Kimura, Denizhan Kara, Tarek F. Abdelzaher

Proceedings of the IEEE INFOCOM 2025, 2025

2024

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study.

Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher

CoRR, 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 F. Abdelzaher

Proceedings of the ACM on Web Conference 2024, 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, Tarek F. Abdelzaher

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT.

Denizhan Kara, Tomoyoshi Kimura, Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Tarek F. Abdelzaher

Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

Fine-grained Control of Generative Data Augmentation in IoT Sensing.

Tianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, Tarek F. Abdelzaher

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model.

Tianshi Wang, Yizhuo Chen, Qikai Yang, Dachun Sun, Ruijie Wang, Jinyang Li, Tomoyoshi Kimura, Tarek F. Abdelzaher

Proceedings of the 33rd International Conference on Computer Communications and Networks, 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 J. Shenoy, Maggie B. Wigness, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh D. Eckhardt, Denis Osipychev, Tarek F. Abdelzaher

Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

The Case for Micro Foundation Models to Support Robust Edge Intelligence.

Tomoyoshi Kimura, Ashitabh Misra, Yizhuo Chen, Denizhan Kara, Jinyang Li, Tianshi Wang, Ruijie Wang, Joydeep Bhattacharyya, Jae Kim, Prashant J. Shenoy, Mani Srivastava, Maggie B. Wigness, Tarek F. Abdelzaher

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

2023

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 K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher

IEEE Trans. Pattern Anal. Mach. Intell., 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 F. Abdelzaher, Mani B. Srivastava, Prashant J. Shenoy, Jeffrey Smith, Maggie B. Wigness, Niranjan Suri

Proceedings of the ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, 2022

AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading.

Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani B. Srivastava, Tarek F. Abdelzaher

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example.

Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian

Proceedings of the IEEE Military Communications Conference, 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

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

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, Shengzhong Liu, Matthew Caesar, Deepti Kalasapura, Joydeep Bhattacharyya, Nassy Srour, Jae Kim, Guijun Wang, Greg Kimberly, Shouchao Yao

Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

2021

Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services.

Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher

GetMobile Mob. Comput. Commun., 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 F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

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 Big Data, 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 F. Abdelzaher

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification.

Dongxin Liu, Peng Wang, Tianshi Wang, Tarek F. Abdelzaher

Proceedings of the 2021 IEEE Military Communications Conference, 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 F. Abdelzaher

Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

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 F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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

CoRR, 2020

Multiscale online media simulation with SocialCube.

Tarek F. 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, György Korniss, Boleslaw K. Szymanski

Comput. Math. Organ. 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 F. Abdelzaher

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 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 F. Abdelzaher

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 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 F. Abdelzaher

Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 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 F. Abdelzaher

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

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

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

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 F. Abdelzaher

Proceedings of the World Wide Web Conference, 2019

Stardust: A deep learning serving system in IoT: demo abstract.

Shuochao Yao, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher

Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

2018

H-Scheduler: Storage-Aware Task Scheduling for Heterogeneous-Storage Spark Clusters.

Fengfeng Pan, Jin Xiong, Yijie Shen, Tianshi Wang, Dejun Jiang

Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018