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Tianshi Wang
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Publications
- 2024
- [i13]Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. CoRR abs/2402.02275 (2024) - 2022
- [j22]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9285-9297 (2022) - [c29]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:
IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. ICCCN 2022: 1-10 - [c27]Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian:
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM 2022: 1082-1087 - [c26]Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani B. Srivastava, Tarek F. Abdelzaher:
AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. ACM Multimedia 2022: 3035-3044 - 2021
- [j21]Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. Frontiers Big Data 4: 729881 (2021) - [j20]Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek F. Abdelzaher:
Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 132:1-132:29 (2021) - [j17]Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher:
Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services. GetMobile Mob. Comput. Commun. 25(1): 39-42 (2021) - [c21]Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. SIGIR 2021: 163-172 - [i10]Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. CoRR abs/2106.03251 (2021) - 2020
- [j12]Shengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek F. Abdelzaher:
GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 19:1-19:27 (2020) - [j11]Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher:
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 90:1-90:31 (2020) - [c20]Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization. ASONAM 2020: 81-88 - [c19]Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek F. Abdelzaher:
Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks. ICCCN 2020: 1-11 - [c16]Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. RTCSA 2020: 1-10 - [c15]Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher:
Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency. SenSys 2020: 476-488 - [i9]Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Disentangling Overlapping Beliefs by Structured Matrix Factorization. CoRR abs/2002.05797 (2020) - [i7]Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. CoRR abs/2011.01112 (2020) - 2019
- [c12]Shuochao Yao, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Stardust: A deep learning serving system in IoT: demo abstract. SenSys 2019: 402-403 - [c10]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:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. WWW 2019: 2192-2202 - [i6]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:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. CoRR abs/1902.07849 (2019)
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