Sheng Shen

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 134

Top Venues

Publications

Di Sun, Yangde Lin, Sheng Shen, Zhiliang Zeng, Shizhao Zhang, Qihang Wang
Arbitrary Scale Texture Synthesis with Feature Map Swapping. ICIC (7) (2024)
Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR (2024)
Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipali, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. CoRR (2024)
Chunyang Bi, Xin Luo, Sheng Shen, Mengxi Zhang, Huanjing Yue, Jingyu Yang
DeeDSR: Towards Real-World Image Super-Resolution via Degradation-Aware Stable Diffusion. CoRR (2024)
Nicholas Lee, Thanakul Wattanawong, Sehoon Kim, Karttikeya Mangalam, Sheng Shen, Gopala Anumanchipalli, Michael W. Mahoney, Kurt Keutzer, Amir Gholami
LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement. ACL (Findings) (2024)
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liangyan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
Aligning Large Multimodal Models with Factually Augmented RLHF. ACL (Findings) (2024)
Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR (2024)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. WACV (2024)
Yunjiao Lei, Dayong Ye, Congcong Zhu, Sheng Shen, Wanlei Zhou, Tianqing Zhu
A GNN-based teacher-student framework with multi-advice. Expert Syst. Appl. 250 (2024)
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. ICLR (2024)
Gang Pan, Kang Liu, Jingxin Li, Rufei Zhang, Sheng Shen, Zhiliang Zeng, Jiahao Wang, Di Sun
Domain Adaptive Object Detection with Dehazing Module. ICIC (11) (2024)
Xiaohan Kong, Yaomin Zhu, Sheng Shen, Jiamin Wu, Yucheng He, Mingjian Hong, Zheng Xu
A Low-Cost Portable 50 mT MRI Scanner for Dental Imaging. IEEE Trans. Instrum. Meas. 73 (2024)
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
AgentBench: Evaluating LLMs as Agents. ICLR (2024)
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, Joseph E. Gonzalez
RAFT: Adapting Language Model to Domain Specific RAG. CoRR (2024)
Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein
Poisoning Language Models During Instruction Tuning. ICML (2023)
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou
Reinforcement Unlearning. CoRR (2023)
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel
Crosslingual Generalization through Multitask Finetuning. ACL (1) (2023)
Sili Wu, Sheng Shen, Phee Lep Yeoh, Teng Joon Lim
Wireless Decentralized Federated Learning with Energy-Constrained Clients. WF-IoT (2023)
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
New challenges in reinforcement learning: a survey of security and privacy. Artif. Intell. Rev. 56 (7) (2023)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) (2023)
Sheng Shen, Shujun Xing, Xinzhu Sang, Binbin Yan, Yingying Chen
Corrigendum to "Virtual stereo content rendering technology review for light-field display" [Displays 76 (2023) 102320]. Displays 80 (2023)
Xiaohan Kong, Zheng Xu, Sheng Shen, Jiamin Wu, Yucheng He, Liang Xuan, Hajime Igarashi
Gradient Coil Design Method Specifically for Permanent-Magnet-Type Low Field Portable MRI Brain Scanner. IEEE Trans. Instrum. Meas. 72 (2023)
Sheng Shen, Huanjing Yue, Jingyu Yang
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression. ICCV (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. NeurIPS (2023)
Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu
From Text to Tactic: Evaluating LLMs Playing the Game of Avalon. CoRR (2023)
Bohan Zhai, Shijia Yang, Xiangchen Zhao, Chenfeng Xu, Sheng Shen, Dongdi Zhao, Kurt Keutzer, Manling Li, Tan Yan, Xiangjun Fan
HallE-Switch: Rethinking and Controlling Object Existence Hallucinations in Large Vision Language Models for Detailed Caption. CoRR (2023)
Sheng Shen, Shujun Xing, Xinzhu Sang, Binbin Yan, Yingying Chen
Virtual stereo content rendering technology review for light-field display. Displays 76 (2023)
Zhiqing Sun, Sheng Shen, Shengcao Cao, Haotian Liu, Chunyuan Li, Yikang Shen, Chuang Gan, Liang-Yan Gui, Yu-Xiong Wang, Yiming Yang, Kurt Keutzer, Trevor Darrell
Aligning Large Multimodal Models with Factually Augmented RLHF. CoRR (2023)
Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein
Poisoning Language Models During Instruction Tuning. CoRR (2023)
Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer
SqueezeLLM: Dense-and-Sparse Quantization. CoRR (2023)
Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR (2023)
Hongjie Zhou, Rufei Zhang, Xiaoyu He, Nannan Li, Yong Wang, Sheng Shen
MCEENet: Multi-Scale Context Enhancement and Edge-Assisted Network for Few-Shot Semantic Segmentation. Sensors 23 (6) (2023)
Suleiman Abahussein, Dayong Ye, Congcong Zhu, Zishuo Cheng, Umer Siddique, Sheng Shen
Multi-Agent Reinforcement Learning for Online Food Delivery with Location Privacy Preservation. Inf. 14 (11) (2023)
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. IJCAI (2023)
Junfeng Zhou, Rufei Zhang, Wei Zhao, Sheng Shen, Nan Wang
APS-Net: An Adaptive Point Set Network for Optical Remote-Sensing Object Detection. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. CoRR (2023)
Rufei Zhang, Yuqing Wang, Sheng Shen, Wei Zhao, Zhiliang Zeng, Nannan Li, Dongjin Li
Trigonometric-Coded Refined Detector for High Precision Oriented Object Detection. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
AgentBench: Evaluating LLMs as Agents. CoRR (2023)
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu
Large Language Models are Visual Reasoning Coordinators. CoRR (2023)
Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. CoRR (2023)
Bangshao Fu, Xunbo Yu, Xin Gao, Xinhui Xie, Xiangyu Pie, Haoxiang Dong, Sheng Shen, Xinzhu Sang, Binbin Yan
Analysis of the relationship between display depth and 3D image definition in light-field display from visual perspective. Displays 80 (2023)
Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy
What Language Model to Train if You Have One Million GPU Hours? CoRR (2022)
Sheng Shen, Tianqing Zhu, Dayong Ye, Minghao Wang, Xuhan Zuo, Andi Zhou
A novel differentially private advising framework in cloud server environment. Concurr. Comput. Pract. Exp. 34 (7) (2022)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. ICML (2022)
Victor Sanh, Albert Webson, Colin Raffel, Stephen Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR (2022)
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR (2022)
Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR (2022)
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
From distributed machine learning to federated learning: In the view of data privacy and security. Concurr. Comput. Pract. Exp. 34 (16) (2022)
Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell
Multitask Vision-Language Prompt Tuning. CoRR (2022)
Niklas Muennighoff, Thomas Wang, Lintang Sutawika, Adam Roberts, Stella Biderman, Teven Le Scao, M. Saiful Bari, Sheng Shen, Zheng Xin Yong, Hailey Schoelkopf, Xiangru Tang, Dragomir Radev, Alham Fikri Aji, Khalid Almubarak, Samuel Albanie, Zaid Alyafeai, Albert Webson, Edward Raff, Colin Raffel
Crosslingual Generalization through Multitask Finetuning. CoRR (2022)
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
One Parameter Defense - Defending Against Data Inference Attacks via Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Sheng Shen, Huanjing Yue, Jingyu Yang, Kun Li
ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution. CoRR (2022)
Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy. CoRR (2022)
Lei Yang, Wei He, Yucheng He, Jiamin Wu, Sheng Shen, Zheng Xu
Active EMI Suppression System for a 50 mT Unshielded Portable MRI Scanner. IEEE Trans. Biomed. Eng. 69 (11) (2022)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. CoRR (2022)
Yuling Ye, Sheng Shen, Pan Guo, Xianneng Xu, Cai Wan, Zheng Xu
A Portable Halbach NMR Sensor for Detecting the Moisture Content of Soybeans. IEEE Trans. Instrum. Meas. 71 (2022)
Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS (2022)
Teven Le Scao, Thomas Wang, Daniel Hesslow, Stas Bekman, M. Saiful Bari, Stella Biderman, Hady Elsahar, Niklas Muennighoff, Jason Phang, Ofir Press, Colin Raffel, Victor Sanh, Sheng Shen, Lintang Sutawika, Jaesung Tae, Zheng Xin Yong, Julien Launay, Iz Beltagy
What Language Model to Train if You Have One Million GPU Hours? EMNLP (Findings) (2022)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. KDD (2022)
Jae Sung Park, Sheng Shen, Ali Farhadi, Trevor Darrell, Yejin Choi, Anna Rohrbach
Exposing the Limits of Video-Text Models through Contrast Sets. NAACL-HLT (2022)
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
Differentially Private Multi-Agent Planning for Logistic-Like Problems. IEEE Trans. Dependable Secur. Comput. 19 (2) (2022)
Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney
What's Hidden in a One-layer Randomly Weighted Transformer? EMNLP (1) (2021)
Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR (2021)
Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong
An optimized differential privacy scheme with reinforcement learning in VANET. Comput. Secur. 110 (2021)
Sheng Shen, Zheng Xu, Neha Koonjoo, Matthew S. Rosen
Optimization of a Close-Fitting Volume RF Coil for Brain Imaging at 6.5 mT Using Linear Programming. IEEE Trans. Biomed. Eng. 68 (4) (2021)
Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. CoRR (2021)
Xiaosheng Yu, Sheng Shen, Peng Chen, Zhongtu Liu
Electronic Medical Record classification method based on LSTM of text word features dimensionality reduction. QRS Companion (2021)
Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney
What's Hidden in a One-layer Randomly Weighted Transformer? CoRR (2021)
Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer
Learned Token Pruning for Transformers. CoRR (2021)
Sheng Shen, Hao Lu, Mohammadkazem Sadoughi, Chao Hu, Venkat Nemani, Adam Thelen, Keith Webster, Matthew J. Darr, Jeff Sidon, Shawn Kenny
A physics-informed deep learning approach for bearing fault detection. Eng. Appl. Artif. Intell. 103 (2021)
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer
How Much Can CLIP Benefit Vision-and-Language Tasks? CoRR (2021)
Jingyu Yang, Sheng Shen, Huanjing Yue, Kun Li
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution. CoRR (2021)
Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. ICLR (2021)
Yang Liu, Sheng Shen, Mirella Lapata
Noisy Self-Knowledge Distillation for Text Summarization. NAACL-HLT (2021)
Sheng Shen, Mariam Kiran, Bashir Mohammed
DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering. MLN (2021)
Jingyu Yang, Sheng Shen, Huanjing Yue, Kun Li
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution. NeurIPS (2021)
Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela
Reservoir Transformers. ACL/IJCNLP (1) (2021)
Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney
MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. CoRR (2021)
Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. AAAI (2021)
Sheng Shen, Tianqing Zhu, Di Wu, Wei Wang, Wanlei Zhou
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security. CoRR (2020)
Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. EMNLP (1) (2020)
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu
Differentially Private Multi-Agent Planning for Logistic-like Problems. CoRR (2020)
Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan
On the Generation of Medical Question-Answer Pairs. AAAI (2020)
Huanjing Yue, Sheng Shen, Jing-Yu Yang, Haofeng Hu, Yan-Fang Chen
Reference Image Guided Super-Resolution via Progressive Channel Attention Networks. J. Comput. Sci. Technol. 35 (3) (2020)
Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. CoRR (2020)
Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. CoRR (2020)
Sheng Shen, Honghui Yang, Xiaohui Yao, Junhao Li, Guanghui Xu, Meiping Sheng
Ship Type Classification by Convolutional Neural Networks with Auditory-Like Mechanisms. Sensors 20 (1) (2020)
Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
PowerNorm: Rethinking Batch Normalization in Transformers. ICML (2020)
Chunwei Wang, Lina Yu, Huixian Chang, Sheng Shen, Fang Hou, Yingwei Li
Application Research of File Fingerprint Identification Detection Based on a Network Security Protection System. Wirel. Commun. Mob. Comput. 2020 (2020)
Shao-Fei Jiang, Ze-Hui Qiao, Ni-Lei Li, Jian-Bin Luo, Sheng Shen, Ming-Hao Wu, Ying Zhang
Structural Health Monitoring System Based on FBG Sensing Technique for Chinese Ancient Timber Buildings. Sensors 20 (1) (2020)
Zhijian Yang, Yu-Lin Wei, Sheng Shen, Romit Roy Choudhury
Ear-AR: indoor acoustic augmented reality on earphones. MobiCom (2020)
Yang Liu, Sheng Shen, Mirella Lapata
Noisy Self-Knowledge Distillation for Text Summarization. CoRR (2020)
Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela
Reservoir Transformer. CoRR (2020)
Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). IJCAI (2020)
Sheng Shen, Daguan Chen, Yu-Lin Wei, Zhijian Yang, Romit Roy Choudhury
Voice localization using nearby wall reflections. MobiCom (2020)
Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren
Model Poisoning Defense on Federated Learning: A Validation Based Approach. NSS (2020)
Sheng Shen, Zhen Dong, Jiayu Ye, Linjian Ma, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
Q-BERT: Hessian Based Ultra Low Precision Quantization of BERT. AAAI (2020)
Zhewei Yao, Amir Gholami, Sheng Shen, Kurt Keutzer, Michael W. Mahoney
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sheng Shen