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ORCIDSheng Shen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j38]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: 123887 (2024)- [j37]Sheng Shen, Dayong Ye, Tianqing Zhu, Wanlei Zhou:
Privacy preservation in deep reinforcement learning: A training perspective. Knowl. Based Syst. 304: 112558 (2024) - [j36]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: 1-11 (2024) - [j35]Sheng Shen, Chi Liu, Teng Joon Lim:
Federated Learning With Heterogeneous Client Expectations: A Game Theory Approach. IEEE Trans. Knowl. Data Eng. 36(12): 8220-8237 (2024) - [c57]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: 6498-6526 - [c56]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: 13088-13110 - [c55]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: 74-83 - [c54]Di Sun, Yangde Lin, Sheng Shen, Zhiliang Zeng, Shizhao Zhang, Qihang Wang:
Arbitrary Scale Texture Synthesis with Feature Map Swapping. ICIC (7) 2024: 323-332 - [c53]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 - [c52]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 - [c51]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. ICML 2024 - [c50]Sheng Shen, Huanjing Yue, Jingyu Yang:
Efficient Screen Content Image Compression via Superpixel-based Content Aggregation and Dynamic Feature Fusion. IJCAI 2024: 1209-1217 - [c49]Sheng Shen, Teng Joon Lim:
Federated Multi-Agent Reinforcement Learning for Heterogeneous Action Spaces. VTC Spring 2024: 1-7 - [c48]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. WACV 2024: 5644-5655 - [i47]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 abs/2403.10131 (2024) - [i46]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. CoRR abs/2403.15042 (2024) - [i45]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 abs/2404.00661 (2024) - [i44]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 abs/2405.19716 (2024) - [i43]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 abs/2406.11271 (2024) - [i42]Sheng Shen, Rabih Younes:
Reimagining Linear Probing: Kolmogorov-Arnold Networks in Transfer Learning. CoRR abs/2409.07763 (2024) - 2023
- [j34]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): 7195-7236 (2023) - [j33]Sheng Shen, Shujun Xing, Xinzhu Sang, Binbin Yan, Yingying Chen:
Virtual stereo content rendering technology review for light-field display. Displays 76: 102320 (2023) - [j32]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: 102514 (2023) - [j31]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: 102565 (2023) - [j30]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): 597 (2023) - [j29]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: 1-5 (2023) - [j28]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: 1-5 (2023) - [j27]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): 2922 (2023) - [j26]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: 1-12 (2023) - [c47]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: 15991-16111 - [c46]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. EMNLP (Findings) 2023: 11329-11344 - [c45]Sheng Shen, Huanjing Yue, Jingyu Yang:
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression. ICCV 2023: 12841-12850 - [c44]Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. ICML 2023: 35413-35425 - [c43]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust Gan-Generated Image Detection: A Multi-View Completion Representation. IJCAI 2023: 464-472 - [c42]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 - [c41]Sili Wu, Sheng Shen, Phee Lep Yeoh, Teng Joon Lim:
Wireless Decentralized Federated Learning with Energy-Constrained Clients. WF-IoT 2023: 1-6 - [i41]Yunjiao Lei, Dayong Ye, Sheng Shen, Yulei Sui, Tianqing Zhu, Wanlei Zhou:
New Challenges in Reinforcement Learning: A Survey of Security and Privacy. CoRR abs/2301.00188 (2023) - [i40]Sheng Shen, Zhewei Yao, Chunyuan Li, Trevor Darrell, Kurt Keutzer, Yuxiong He:
Scaling Vision-Language Models with Sparse Mixture of Experts. CoRR abs/2303.07226 (2023) - [i39]Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein:
Poisoning Language Models During Instruction Tuning. CoRR abs/2305.00944 (2023) - [i38]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:
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR abs/2305.14705 (2023) - [i37]Chi Liu, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
Towards Robust GAN-generated Image Detection: a Multi-view Completion Representation. CoRR abs/2306.01364 (2023) - [i36]Sehoon Kim, Coleman Hooper, Amir Gholami, Zhen Dong, Xiuyu Li, Sheng Shen, Michael W. Mahoney, Kurt Keutzer:
SqueezeLLM: Dense-and-Sparse Quantization. CoRR abs/2306.07629 (2023) - [i35]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 abs/2308.03688 (2023) - [i34]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 abs/2309.14525 (2023) - [i33]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 abs/2310.01779 (2023) - [i32]Jonathan Light, Min Cai, Sheng Shen, Ziniu Hu:
From Text to Tactic: Evaluating LLMs Playing the Game of Avalon. CoRR abs/2310.05036 (2023) - [i31]Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu:
Large Language Models are Visual Reasoning Coordinators. CoRR abs/2310.15166 (2023) - [i30]Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou:
Reinforcement Unlearning. CoRR abs/2312.15910 (2023) - 2022
- [j25]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) - [j24]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) - [j23]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): 3415-3426 (2022) - [j22]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): 1212-1226 (2022) - [j21]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: 1466-1480 (2022) - [j20]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: 1-11 (2022) - [c40]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: 765-782 - [c39]Victor Sanh, Albert Webson, Colin Raffel, Stephen H. 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 - [c38]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 - [c37]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. ICML 2022: 19893-19908 - [c36]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Woosuk Kwon, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. KDD 2022: 784-794 - [c35]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: 3574-3586 - [c34]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 - [i29]Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy:
Staged Training for Transformer Language Models. CoRR abs/2203.06211 (2022) - [i28]Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou:
One Parameter Defense - Defending against Data Inference Attacks via Differential Privacy. CoRR abs/2203.06580 (2022) - [i27]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 abs/2204.09222 (2022) - [i26]Sheng Shen, Huanjing Yue, Jingyu Yang, Kun Li:
ITSRN++: Stronger and Better Implicit Transformer Network for Continuous Screen Content Image Super-Resolution. CoRR abs/2210.08812 (2022) - [i25]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 abs/2210.15424 (2022) - [i24]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 abs/2211.01786 (2022) - [i23]Sheng Shen, Shijia Yang, Tianjun Zhang, Bohan Zhai, Joseph E. Gonzalez, Kurt Keutzer, Trevor Darrell:
Multitask Vision-Language Prompt Tuning. CoRR abs/2211.11720 (2022) - 2021
- [j19]Xin Chen, Tao Zhang, Sheng Shen, Tianqing Zhu, Ping Xiong:
An optimized differential privacy scheme with reinforcement learning in VANET. Comput. Secur. 110: 102446 (2021) - [j18]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: 104295 (2021) - [j17]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): 1106-1114 (2021) - [j16]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. IEEE Trans. Inf. Forensics Secur. 16: 569-584 (2021) - [c33]Zhewei Yao, Amir Gholami, Sheng Shen, Mustafa Mustafa, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. AAAI 2021: 10665-10673 - [c32]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformers. ACL/IJCNLP (1) 2021: 4294-4309 - [c31]Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney:
What's Hidden in a One-layer Randomly Weighted Transformer? EMNLP (1) 2021: 2914-2921 - [c30]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 - [c29]Sheng Shen, Mariam Kiran, Bashir Mohammed:
DynamicDeepFlow: An Approach for Identifying Changes in Network Traffic Flow Using Unsupervised Clustering. MLN 2021: 98-116 - [c28]Yang Liu, Sheng Shen, Mirella Lapata:
Noisy Self-Knowledge Distillation for Text Summarization. NAACL-HLT 2021: 692-703 - [c27]Jingyu Yang, Sheng Shen, Huanjing Yue, Kun Li:
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution. NeurIPS 2021: 13304-13315 - [c26]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: 365-371 - [i22]Zhewei Yao, Linjian Ma, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
MLPruning: A Multilevel Structured Pruning Framework for Transformer-based Models. CoRR abs/2105.14636 (2021) - [i21]Sehoon Kim, Sheng Shen, David Thorsley, Amir Gholami, Joseph Hassoun, Kurt Keutzer:
Learned Token Pruning for Transformers. CoRR abs/2107.00910 (2021) - [i20]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 abs/2107.06383 (2021) - [i19]Sheng Shen, Zhewei Yao, Douwe Kiela, Kurt Keutzer, Michael W. Mahoney:
What's Hidden in a One-layer Randomly Weighted Transformer? CoRR abs/2109.03939 (2021) - [i18]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 abs/2110.08207 (2021) - [i17]Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, Trevor Darrell, Yang Gao:
Discovering Non-monotonic Autoregressive Orderings with Variational Inference. CoRR abs/2110.15797 (2021) - [i16]Jingyu Yang, Sheng Shen, Huanjing Yue, Kun Li:
Implicit Transformer Network for Screen Content Image Continuous Super-Resolution. CoRR abs/2112.06174 (2021) - 2020
- [j15]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): 551-563 (2020) - [j14]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): 110 (2020) - [j13]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): 253 (2020) - [j12]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: 8841417:1-8841417:14 (2020) - [c25]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: 8815-8821 - [c24]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: 8822-8829 - [c23]Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao:
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. EMNLP (1) 2020: 2030-2038 - [c22]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joey Gonzalez:
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. ICML 2020: 5958-5968 - [c21]Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
PowerNorm: Rethinking Batch Normalization in Transformers. ICML 2020: 8741-8751 - [c20]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: 4701-4705 - [c19]Sheng Shen, Daguan Chen, Yu-Lin Wei, Zhijian Yang, Romit Roy Choudhury:
Voice localization using nearby wall reflections. MobiCom 2020: 7:1-7:14 - [c18]Zhijian Yang, Yu-Lin Wei, Sheng Shen, Romit Roy Choudhury:
Ear-AR: indoor acoustic augmented reality on earphones. MobiCom 2020: 56:1-56:14 - [c17]Yuao Wang, Tianqing Zhu, Wenhan Chang, Sheng Shen, Wei Ren:
Model Poisoning Defense on Federated Learning: A Validation Based Approach. NSS 2020: 207-223 - [i15]Zhuohan Li, Eric Wallace, Sheng Shen, Kevin Lin, Kurt Keutzer, Dan Klein, Joseph E. Gonzalez:
Train Large, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers. CoRR abs/2002.11794 (2020) - [i14]Sheng Shen, Zhewei Yao, Amir Gholami, Michael W. Mahoney, Kurt Keutzer:
Rethinking Batch Normalization in Transformers. CoRR abs/2003.07845 (2020) - [i13]Zhewei Yao, Amir Gholami, Sheng Shen, Kurt Keutzer, Michael W. Mahoney:
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning. CoRR abs/2006.00719 (2020) - [i12]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou:
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries. CoRR abs/2008.05629 (2020) - [i11]Dayong Ye, Tianqing Zhu, Sheng Shen, Wanlei Zhou, Philip S. Yu:
Differentially Private Multi-Agent Planning for Logistic-like Problems. CoRR abs/2008.06832 (2020) - [i10]Yang Liu, Sheng Shen, Mirella Lapata:
Noisy Self-Knowledge Distillation for Text Summarization. CoRR abs/2009.07032 (2020) - [i9]Qinxin Wang, Hao Tan, Sheng Shen, Michael W. Mahoney, Zhewei Yao:
MAF: Multimodal Alignment Framework for Weakly-Supervised Phrase Grounding. CoRR abs/2010.05379 (2020) - [i8]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 abs/2010.09258 (2020) - [i7]Sheng Shen, Alexei Baevski, Ari S. Morcos, Kurt Keutzer, Michael Auli, Douwe Kiela:
Reservoir Transformer. CoRR abs/2012.15045 (2020)
2010 – 2019
- 2019
- [b1]Sheng Shen:
Actively exploiting propagation delay for acoustic systems. University of Illinois Urbana-Champaign, USA, 2019 - [j11]Honghui Yang, Junhao Li, Sheng Shen, Guanghui Xu:
A Deep Convolutional Neural Network Inspired by Auditory Perception for Underwater Acoustic Target Recognition. Sensors 19(5): 1104 (2019) - [j10]