Tianshi Wang

Orcid: 0000-0002-3085-1434

According to our database1, Tianshi Wang authored at least 70 papers between 2014 and 2024.

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Bibliography

2024
Invisible Black-Box Backdoor Attack against Deep Cross-Modal Hashing Retrieval.
ACM Trans. Inf. Syst., July, 2024

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study.
CoRR, 2024

Prediction of drug-target binding affinity based on deep learning models.
Comput. Biol. Medicine, 2024

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing.
Proceedings of the ACM on Web Conference 2024, 2024

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning.
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.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

An Enhancement Framework for RDMA Congestion Control in Multi-tenant Datacenters.
Proceedings of the NOMS 2024 IEEE Network Operations and Management Symposium, 2024

Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration.
Proceedings of the 33rd International Conference on Computer Communications and Networks, 2024

2023
Targeted Adversarial Attack Against Deep Cross-Modal Hashing Retrieval.
IEEE Trans. Circuits Syst. Video Technol., October, 2023

Efficient Query-based Black-box Attack against Cross-modal Hashing Retrieval.
ACM Trans. Inf. Syst., 2023

Cross-Modal Retrieval: A Systematic Review of Methods and Future Directions.
CoRR, 2023

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach.
Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

2022
ControlVAE: Tuning, Analytical Properties, and Performance Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Congestion Detection and Link Control via Feedback in RDMA Transmission.
Proceedings of the International Conference on Service Science, 2022

DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows.
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.
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.
Proceedings of the IEEE Military Communications Conference, 2022

Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency.
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.
Proceedings of the 31st International Conference on Computer Communications and Networks, 2022

2021
Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services.
GetMobile Mob. Comput. Commun., 2021

Solving combinatorial optimisation problems using oscillator based Ising machines.
Nat. Comput., 2021

CGNet: A Cascaded Generative Network for dense point cloud reconstruction from a single image.
Knowl. Based Syst., 2021

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization.
Frontiers Big Data, 2021

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction.
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.
Proceedings of the 2021 IEEE Military Communications Conference, 2021

Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective.
Proceedings of the 30th International Conference on Computer Communications and Networks, 2021

2020
Fuzzy weighted sparse reconstruction error-steered semi-supervised learning for face recognition.
Vis. Comput., 2020

Simultaneous Morphological and Flow Imaging Enabled by Megahertz Intravascular Doppler Optical Coherence Tomography.
IEEE Trans. Medical Imaging, 2020

GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

Disentangling Overlapping Beliefs by Structured Matrix Factorization.
CoRR, 2020

Joint Character-Level Convolutional and Generative Adversarial Networks for Text Classification.
Complex., 2020

Semi-Supervised Cross-Modal Retrieval Based on Discriminative Comapping.
Complex., 2020

Multiscale online media simulation with SocialCube.
Comput. Math. Organ. Theory, 2020

A multi-label text classification method via dynamic semantic representation model and deep neural network.
Appl. Intell., 2020

paper2repo: GitHub Repository Recommendation for Academic Papers.
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.
Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Scheduling Real-time Deep Learning Services as Imprecise Computations.
Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020

A background-induced generative network with multi-level discriminator for text-to-image generation.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

High-Resolution Point Cloud Reconstruction from a Single Image by Redescription.
Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Novel Computing Paradigms using Oscillators.
PhD thesis, 2019

Hybrid bag of approaches to characterize selection criteria for cohort identification.
J. Am. Medical Informatics Assoc., 2019

Late Breaking Results: New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines.
CoRR, 2019

Matching of 3D Model and Semantic Description via Multi-Modal Auxiliary Classifier Generative Adversarial Network With Autoencoder.
IEEE Access, 2019

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks.
Proceedings of the World Wide Web Conference, 2019

OIM: Oscillator-Based Ising Machines for Solving Combinatorial Optimisation Problems.
Proceedings of the Unconventional Computation and Natural Computation, 2019

Stardust: A deep learning serving system in IoT: demo abstract.
Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019

New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines.
Proceedings of the 56th Annual Design Automation Conference 2019, 2019

2018
H-Scheduler: Storage-Aware Task Scheduling for Heterogeneous-Storage Spark Clusters.
Proceedings of the 24th IEEE International Conference on Parallel and Distributed Systems, 2018

Towards a Learning Health System to Reduce Emergency Department Visits at a Population Level.
Proceedings of the AMIA 2018, 2018

2017
Fabrication and Experimental Analysis of an Axially Laminated Flux-Switching Permanent-Magnet Machine.
IEEE Trans. Ind. Electron., 2017

Comparative Study of Small Electrical Machines With Soft Magnetic Composite Cores.
IEEE Trans. Ind. Electron., 2017

Design and Implementation of an Amorphous High-Frequency Transformer Coupling Multiple Converters in a Smart Microgrid.
IEEE Trans. Ind. Electron., 2017

Achieving Phase-based Logic Bit Storage in Mechanical Metronomes.
CoRR, 2017

Oscillator-based Ising Machine.
CoRR, 2017

Modelling multistability and hysteresis in ESD clamps, memristors and other devices.
Proceedings of the 2017 IEEE Custom Integrated Circuits Conference, 2017

STEAM: Spline-based tables for efficient and accurate device modelling.
Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016
Well-Posed Models of Memristive Devices.
CoRR, 2016

2015
Domain-Alternated Optimization for Passive Macromodeling.
IEEE Trans. Very Large Scale Integr. Syst., 2015

System-Level Design Optimization Method for Electrical Drive Systems - Robust Approach.
IEEE Trans. Ind. Electron., 2015

Poster: MAPP: The Berkeley Model and Algorithm Prototyping Platform.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

Design tools for oscillator-based computing systems.
Proceedings of the 52nd Annual Design Automation Conference, 2015

MAPP: The Berkeley Model and Algorithm Prototyping Platform.
Proceedings of the 2015 IEEE Custom Integrated Circuits Conference, 2015

2014
System-Level Design Optimization Methods for Electrical Drive Systems: Deterministic Approach.
IEEE Trans. Ind. Electron., 2014

PHLOGON: PHase-based LOGic using Oscillatory Nano-systems.
Proceedings of the Unconventional Computation and Natural Computation, 2014

An efficient time step control method in transient simulation for DAE system.
Proceedings of the 21st IEEE International Conference on Electronics, Circuits and Systems, 2014


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