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Tianshi Wang
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2020 – today
- 2024
- [j26]Hao Zhang, Xiaoqian Liu, Wenya Cheng, Tianshi Wang, Yuanyuan Chen:
Prediction of drug-target binding affinity based on deep learning models. Comput. Biol. Medicine 174: 108435 (2024) - [j25]Tianshi Wang, Fengling Li, Lei Zhu, Jingjing Li, Zheng Zhang, Heng Tao Shen:
Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval. ACM Trans. Inf. Syst. 42(4): 111:1-111:27 (2024) - [c36]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:
Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration. ICCCN 2024: 1-9 - [c35]Tianshi Wang, Yizhuo Chen, Qikai Yang, Dachun Sun, Ruijie Wang, Jinyang Li, Tomoyoshi Kimura, Tarek F. Abdelzaher:
Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model. ICCCN 2024: 1-9 - [c34]Tianshi Wang, Yiran Zhang, Ao Zhou, Shangguang Wang:
An Enhancement Framework for RDMA Congestion Control in Multi-tenant Datacenters. NOMS 2024: 1-9 - [c33]Denizhan Kara, Tomoyoshi Kimura, Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Tarek F. Abdelzaher:
PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT. SenSys 2024: 97-111 - [c32]Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara, Tarek F. Abdelzaher:
MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. SIGIR 2024: 59-69 - [c31]Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher:
FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. WWW 2024: 2795-2806 - [i14]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) - [i13]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:
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. CoRR abs/2404.02461 (2024) - 2023
- [j24]Tianshi Wang, Lei Zhu, Zheng Zhang, Huaxiang Zhang, Junwei Han:
Targeted Adversarial Attack Against Deep Cross-Modal Hashing Retrieval. IEEE Trans. Circuits Syst. Video Technol. 33(10): 6159-6172 (2023) - [j23]Lei Zhu, Tianshi Wang, Jingjing Li, Zheng Zhang, Jialie Shen, Xinhua Wang:
Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval. ACM Trans. Inf. Syst. 41(3): 54:1-54:25 (2023) - [c30]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. SenSys 2023: 15-27 - [i12]Lei Zhu, Tianshi Wang, Fengling Li, Jingjing Li, Zheng Zhang, Heng Tao Shen:
Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions. CoRR abs/2308.14263 (2023) - 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 - [c28]Shengzhong Liu, Tianshi Wang, Hongpeng Guo, Xinzhe Fu, Philip David, Maggie B. Wigness, Archan Misra, Tarek F. Abdelzaher:
Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. ICDCS 2022: 503-514 - [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 - [c25]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:
DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. ApPLIED@PODC 2022: 15-23 - [c24]Tianshi Wang, Hongwei Kan, Qibo Sun, Shan Xiao, Shangguang Wang:
Congestion Detection and Link Control via Feedback in RDMA Transmission. ICSS 2022: 1-4 - [i11]Dongxin Liu, Peng Wang, Tianshi Wang, Tarek F. Abdelzaher:
Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification. CoRR abs/2203.15932 (2022) - 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) - [j19]Ping Wang, Li Liu, Huaxiang Zhang, Tianshi Wang:
CGNet: A Cascaded Generative Network for dense point cloud reconstruction from a single image. Knowl. Based Syst. 223: 107057 (2021) - [j18]Tianshi Wang, Leon Wu, Parth Nobel, Jaijeet Roychowdhury:
Solving combinatorial optimisation problems using oscillator based Ising machines. Nat. Comput. 20(2): 287-306 (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) - [c23]Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher:
Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective. ICCCN 2021: 1-10 - [c22]Dongxin Liu, Peng Wang, Tianshi Wang, Tarek F. Abdelzaher:
Self-Contrastive Learning based Semi-Supervised Radio Modulation Classification. MILCOM 2021: 777-782 - [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
- [j16]Tianshi Wang, Li Liu, Naiwen Liu, Huaxiang Zhang, Long Zhang, Shanshan Feng:
A multi-label text classification method via dynamic semantic representation model and deep neural network. Appl. Intell. 50(8): 2339-2351 (2020) - [j15]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:
Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory 26(2): 145-174 (2020) - [j14]Li Liu, Xiao Dong, Tianshi Wang:
Semi-Supervised Cross-Modal Retrieval Based on Discriminative Comapping. Complex. 2020: 1462429:1-1462429:13 (2020) - [j13]Tianshi Wang, Li Liu, Huaxiang Zhang, Long Zhang, Xiuxiu Chen:
Joint Character-Level Convolutional and Generative Adversarial Networks for Text Classification. Complex. 2020: 8516216:1-8516216:11 (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) - [j10]Tianshi Wang, Tom Pfeiffer, Joost Daemen, Frits Mastik, Wolfgang Wieser, Anton F. W. van der Steen, Robert Huber, Gijs van Soest:
Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography. IEEE Trans. Medical Imaging 39(5): 1535-1544 (2020) - [j9]Li Liu, Siqi Chen, Xiuxiu Chen, Tianshi Wang, Long Zhang:
Fuzzy weighted sparse reconstruction error-steered semi-supervised learning for face recognition. Vis. Comput. 36(8): 1521-1534 (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 - [c18]Tianshi Wang, Li Liu, Huaxiang Zhang, Jiande Sun:
High-Resolution Point Cloud Reconstruction from a Single Image by Redescription. ICME Workshops 2020: 1-6 - [c17]Ping Wang, Li Liu, Huaxiang Zhang, Tianshi Wang:
A background-induced generative network with multi-level discriminator for text-to-image generation. MMAsia 2020: 38:1-38:6 - [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 - [c14]Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. WWW 2020: 629-639 - [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) - [i8]Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher:
paper2repo: GitHub Repository Recommendation for Academic Papers. CoRR abs/2004.06059 (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)
2010 – 2019
- 2019
- [b1]Tianshi Wang:
Novel Computing Paradigms using Oscillators. University of California, Berkeley, USA, 2019 - [j8]Long Zhang, Li Liu, Huaxiang Zhang, Xiuxiu Chen, Tianshi Wang, Chunjing Wang:
Matching of 3D Model and Semantic Description via Multi-Modal Auxiliary Classifier Generative Adversarial Network With Autoencoder. IEEE Access 7: 177585-177594 (2019) - [j7]V. G. Vinod Vydiswaran, Asher Strayhorn, Xinyan Zhao, Phil Robinson, Mahesh Agarwal, Erin Bagazinski, Madia Essiet, Bradley E. Iott, Hyeon Joo, PingJui Ko, Dahee Lee, Jin Xiu Lu, Jinghui Liu, Adharsh Murali, Koki Sasagawa, Tianshi Wang, Nalingna Yuan:
Hybrid bag of approaches to characterize selection criteria for cohort identification. J. Am. Medical Informatics Assoc. 26(11): 1172-1180 (2019) - [c13]Tianshi Wang, Leon Wu, Jaijeet Roychowdhury:
New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines. DAC 2019: 239 - [c12]Shuochao Yao, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Stardust: A deep learning serving system in IoT: demo abstract. SenSys 2019: 402-403 - [c11]Tianshi Wang, Jaijeet Roychowdhury:
OIM: Oscillator-Based Ising Machines for Solving Combinatorial Optimisation Problems. UCNC 2019: 232-256 - [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) - [i5]Tianshi Wang, Jaijeet Roychowdhury:
OIM: Oscillator-based Ising Machines for Solving Combinatorial Optimisation Problems. CoRR abs/1903.07163 (2019) - [i4]Tianshi Wang, Leon Wu, Jaijeet Roychowdhury:
Late Breaking Results: New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines. CoRR abs/1904.10211 (2019) - 2018
- [c9]Elliott Brannon, Tianshi Wang, Jeremy Lapedis, Paul Valenstein, Michael S. Klinkman, Ellen Bunting, Alice Stanulis, Karandeep Singh:
Towards a Learning Health System to Reduce Emergency Department Visits at a Population Level. AMIA 2018 - [c8]Fengfeng Pan, Jin Xiong, Yijie Shen, Tianshi Wang, Dejun Jiang:
H-Scheduler: Storage-Aware Task Scheduling for Heterogeneous-Storage Spark Clusters. ICPADS 2018: 9-17 - 2017
- [j6]Mohammad Jafari, Zahra Malekjamshidi, Gang Lei, Tianshi Wang, Glenn Platt, Jianguo Zhu:
Design and Implementation of an Amorphous High-Frequency Transformer Coupling Multiple Converters in a Smart Microgrid. IEEE Trans. Ind. Electron. 64(2): 1028-1037 (2017) - [j5]Chengcheng Liu, Gang Lei, Tianshi Wang, Youguang Guo, Youhua Wang, Jianguo Zhu:
Comparative Study of Small Electrical Machines With Soft Magnetic Composite Cores. IEEE Trans. Ind. Electron. 64(2): 1049-1060 (2017) - [j4]Tianshi Wang, Chengcheng Liu, Wei Xu, Gang Lei, Mohammad Jafari, Youguang Guo, Jianguo Zhu:
Fabrication and Experimental Analysis of an Axially Laminated Flux-Switching Permanent-Magnet Machine. IEEE Trans. Ind. Electron. 64(2): 1081-1091 (2017) - [c7]Archit Gupta, Tianshi Wang, Ahmet Mahmutoglu Gokcen, Jaijeet Roychowdhury:
STEAM: Spline-based tables for efficient and accurate device modelling. ASP-DAC 2017: 463-468 - [c6]Tianshi Wang:
Modelling multistability and hysteresis in ESD clamps, memristors and other devices. CICC 2017: 1-10 - [i3]Tianshi Wang, Jaijeet Roychowdhury:
Oscillator-based Ising Machine. CoRR abs/1709.08102 (2017) - [i2]Tianshi Wang:
Achieving Phase-based Logic Bit Storage in Mechanical Metronomes. CoRR abs/1710.01056 (2017) - 2016
- [i1]Tianshi Wang, Jaijeet S. Roychowdhury:
Well-Posed Models of Memristive Devices. CoRR abs/1605.04897 (2016) - 2015
- [j3]Gang Lei, Tianshi Wang, Jianguo Zhu, Youguang Guo, Shuhong Wang:
System-Level Design Optimization Method for Electrical Drive Systems - Robust Approach. IEEE Trans. Ind. Electron. 62(8): 4702-4713 (2015) - [j2]Zuochang Ye, Tianshi Wang, Yang Li:
Domain-Alternated Optimization for Passive Macromodeling. IEEE Trans. Very Large Scale Integr. Syst. 23(10): 2244-2255 (2015) - [c5]Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jian Yao, Jaijeet Roychowdhury:
MAPP: The Berkeley Model and Algorithm Prototyping Platform. CICC 2015: 1-8 - [c4]Tianshi Wang, Jaijeet Roychowdhury:
Design tools for oscillator-based computing systems. DAC 2015: 188:1-188:6 - [c3]Tianshi Wang, Aadithya V. Karthik, Bichen Wu, Jaijeet Roychowdhury:
Poster: MAPP: The Berkeley Model and Algorithm Prototyping Platform. ICSE (2) 2015: 825-826 - 2014
- [j1]Gang Lei, Tianshi Wang, Youguang Guo, Jianguo Zhu, Shuhong Wang:
System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach. IEEE Trans. Ind. Electron. 61(12): 6591-6602 (2014) - [c2]Jian Yao, Tianshi Wang, Jaijeet Roychowdhury:
An efficient time step control method in transient simulation for DAE system. ICECS 2014: 44-47 - [c1]Tianshi Wang, Jaijeet Roychowdhury:
PHLOGON: PHase-based LOGic using Oscillatory Nano-systems. UCNC 2014: 353-366
Coauthor Index
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