Sheng Shen

Orcid: 0000-0003-4734-1008

According to our database1, Sheng Shen authored at least 117 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach.
IEEE Trans. Knowl. Data Eng., December, 2024

A Low-Cost Portable 50 mT MRI Scanner for Dental Imaging.
IEEE Trans. Instrum. Meas., 2024

Privacy preservation in deep reinforcement learning: A training perspective.
Knowl. Based Syst., 2024

A GNN-based teacher-student framework with multi-advice.
Expert Syst. Appl., 2024

Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning.
CoRR, 2024

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens.
CoRR, 2024

Enhancing Large Vision Language Models with Self-Training on Image Comprehension.
CoRR, 2024

DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion.
CoRR, 2024

RAFT: Adapting Language Model to Domain Specific RAG.
CoRR, 2024

Multitask Vision-Language Prompt Tuning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Federated Multi-Agent Reinforcement Learning for Heterogeneous Action Spaces.
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SqueezeLLM: Dense-and-Sparse Quantization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

AgentBench: Evaluating LLMs as Agents.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Arbitrary Scale Texture Synthesis with Feature Map Swapping.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Domain Adaptive Object Detection with Dehazing Module.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Aligning Large Multimodal Models with Factually Augmented RLHF.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Corrigendum to "Virtual stereo content rendering technology review for light-field display" [Displays 76 (2023) 102320].
Displays, December, 2023

Analysis of the relationship between display depth and 3D image definition in light-field display from visual perspective.
Displays, December, 2023

MCEENet: Multi-Scale Context Enhancement and Edge-Assisted Network for Few-Shot Semantic Segmentation.
Sensors, March, 2023

Virtual stereo content rendering technology review for light-field display.
Displays, January, 2023

Gradient Coil Design Method Specifically for Permanent-Magnet-Type Low Field Portable MRI Brain Scanner.
IEEE Trans. Instrum. Meas., 2023

APS-Net: An Adaptive Point Set Network for Optical Remote-Sensing Object Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Trigonometric-Coded Refined Detector for High Precision Oriented Object Detection.
IEEE Geosci. Remote. Sens. Lett., 2023

Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation.
Inf., 2023

Reinforcement Unlearning.
CoRR, 2023

From Text to Tactic: Evaluating LLMs Playing the Game of Avalon.
CoRR, 2023

HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption.
CoRR, 2023

Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts.
CoRR, 2023

New challenges in reinforcement learning: a survey of security and privacy.
Artif. Intell. Rev., 2023

Wireless Decentralized Federated Learning with Energy-Constrained Clients.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023

Large Language Models are Visual Reasoning Coordinators.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Poisoning Language Models During Instruction Tuning.
Proceedings of the International Conference on Machine Learning, 2023

Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Scaling Vision-Language Models with Sparse Mixture of Experts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Crosslingual Generalization through Multitask Finetuning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
A Portable Halbach NMR Sensor for Detecting the Moisture Content of Soybeans.
IEEE Trans. Instrum. Meas., 2022

One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy.
IEEE Trans. Inf. Forensics Secur., 2022

Differentially Private Multi-Agent Planning for Logistic-Like Problems.
IEEE Trans. Dependable Secur. Comput., 2022

Active EMI Suppression System for a 50 mT Unshielded Portable MRI Scanner.
IEEE Trans. Biomed. Eng., 2022

What Language Model to Train if You Have One Million GPU Hours?
CoRR, 2022

ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution.
CoRR, 2022

A novel differentially private advising framework in cloud server environment.
Concurr. Comput. Pract. Exp., 2022

From distributed machine learning to federated learning: In the view of data privacy and security.
Concurr. Comput. Pract. Exp., 2022

K-LITE: Learning Transferable Visual Models with External Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exposing the Limits of Video-Text Models through Contrast Sets.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Learned Token Pruning for Transformers.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Staged Training for Transformer Language Models.
Proceedings of the International Conference on Machine Learning, 2022

How Much Can CLIP Benefit Vision-and-Language Tasks?
Proceedings of the Tenth International Conference on Learning Representations, 2022


What Language Model to Train if You Have One Million GPU Hours?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries.
IEEE Trans. Inf. Forensics Secur., 2021

Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming.
IEEE Trans. Biomed. Eng., 2021

A physics-informed deep learning approach for bearing fault detection.
Eng. Appl. Artif. Intell., 2021

Multitask Prompted Training Enables Zero-Shot Task Generalization.
CoRR, 2021

Learned Token Pruning for Transformers.
CoRR, 2021

MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models.
CoRR, 2021

An optimized differential privacy scheme with reinforcement learning in VANET.
Comput. Secur., 2021

Electronic Medical Record classification method based on LSTM of text word features dimensionality reduction.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

Implicit Transformer Network for Screen Content Image Continuous Super-Resolution.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Noisy Self-Knowledge Distillation for Text Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering.
Proceedings of the Machine Learning for Networking - 4th International Conference, 2021

Discovering Non-monotonic Autoregressive Orderings with Variational Inference.
Proceedings of the 9th International Conference on Learning Representations, 2021

What's Hidden in a One-layer Randomly Weighted Transformer?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Reservoir Transformers.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System.
Wirel. Commun. Mob. Comput., 2020

Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms.
Sensors, 2020

Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings.
Sensors, 2020

Reference Image Guided Super-Resolution via Progressive Channel Attention Networks.
J. Comput. Sci. Technol., 2020

Reservoir Transformer.
CoRR, 2020

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning.
CoRR, 2020

Rethinking Batch Normalization in Transformers.
CoRR, 2020

Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.
CoRR, 2020

Model Poisoning Defense on Federated Learning: A Validation Based Approach.
Proceedings of the Network and System Security - 14th International Conference, 2020

Ear-AR: indoor acoustic augmented reality on earphones.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Voice localization using nearby wall reflections.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PowerNorm: Rethinking Batch Normalization in Transformers.
Proceedings of the 37th International Conference on Machine Learning, 2020

Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers.
Proceedings of the 37th International Conference on Machine Learning, 2020

MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On the Generation of Medical Question-Answer Pairs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Actively exploiting propagation delay for acoustic systems
PhD thesis, 2019

A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition.
Sensors, 2019

Mini Inside-Out Nuclear Magnetic Resonance Sensor Design for Soil Moisture Measurements.
Sensors, 2019

Damage Detection and Evaluation for an In-Service Shield Tunnel Based on the Monitored Increment of Neutral Axis Depth Using Long-Gauge Fiber Bragg Grating Sensors.
Sensors, 2019

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
Proceedings of the World Wide Web Conference, 2019

Pragmatically Informative Text Generation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

An annotated dataset of literary entities.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Multi-model Gaussian Process.
Proceedings of the 2019 IEEE International Conference on Prognostics and Health Management, 2019

Differential Privacy Preservation for Smart Meter Systems.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

Simultaneously Advising via Differential Privacy in Cloud Servers Environment.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2018
Competitive Deep-Belief Networks for Underwater Acoustic Target Recognition.
Sensors, 2018

Evaluation of Prestress Loss Distribution during Pre-Tensioning and Post-Tensioning Using Long-Gauge Fiber Bragg Grating Sensors.
Sensors, 2018

Distributed Deformation Monitoring for a Single-Cell Box Girder Based on Distributed Long-Gage Fiber Bragg Grating Sensors.
Sensors, 2018

Deformation Monitoring for Chinese Traditional Timber Buildings Using Fiber Bragg Grating Sensors.
Sensors, 2018

Compression of a Deep Competitive Network Based on Mutual Information for Underwater Acoustic Targets Recognition.
Entropy, 2018

Auditory Inspired Convolutional Neural Networks for Ship Type Classification with Raw Hydrophone Data.
Entropy, 2018

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification.
CoRR, 2018

MUTE: bringing IoT to noise cancellation.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

Inaudible Voice Commands: The Long-Range Attack and Defense.
Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

Poster: Networked Acoustics Around Human Ears.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Closing the Gaps in Inertial Motion Tracking.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

2017
IoT Platform for Sports Analytics.
GetMobile Mob. Comput. Commun., 2017

Towards Release Strategy Optimization for Apps in Google Play.
CoRR, 2017

Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users.
CoRR, 2017

Bringing IoT to Sports Analytics.
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

Towards Release Strategy Optimization for Apps in Google Play.
Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

2016
I am a Smartwatch and I can Track my User's Arm.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

AutoLabel: labeling places from pictures and websites.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
Matching Physical Sites with Web Sites for Semantic Localization.
Proceedings of the 2nd workshop on Workshop on Physical Analytics, 2015

2013
Gene expression patterns combined with bioinformatics analysis identify genes associated with cholangiocarcinoma.
Comput. Biol. Chem., 2013

2001
A family of ASIC devices for next generation distributed packet switches with QoS support for IP and ATM.
Proceedings of the Ninth Symposium on High Performance Interconnects, 2001


  Loading...