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ORCIDWei Shen 0005
Person information
- affiliation: ByteDance Inc., China
- affiliation (2023 - 2024): Baidu, China
- affiliation (former): Nanjing University, China
Other persons with the same name
- Wei Shen — disambiguation page
- Wei Shen 0001 — University of Cincinnati, Department of Computer Science, Wireless and Mobile Networking Laboratory, OH, USA
- Wei Shen 0002
![[0000-0002-1235-598X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-1235-598X")
— Shanghai Jiao Tong University, Artificial Intelligence Institute, China (and 3 more) - Wei Shen 0003 — University of Shanghai for Science and Technology, Department of Mechatronics Engineering, China (and 1 more)
- Wei Shen 0004 — Nankai University, College of Computer and Control Engineering, Tianjin, China (and 1 more)
- Wei Shen 0006 — Wuhan University, National Engineering Research Center for Multimedia Software, Institute of Artificial Intelligence, School of Computer Science, China
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2020 – today
- 2025
[c11]Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi:
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. ACL (1) 2025: 11857-11870- [c10]Yuliang Liu, Junjie Lu, Chaofeng Qu, Zhaoling Chen, Zefan Cai, Jason Klein Liu, Chonghan Liu, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin:
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. ICML 2025 - [c9]Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian:
Policy Filtration for RLHF to Mitigate Noise in Reward Models. ICML 2025 - [i12]Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin:
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. CoRR abs/2502.13943 (2025) - [i11]Yunhui Xia, Wei Shen, Yan Wang, Jason Klein Liu, Huifeng Sun, Siyue Wu, Jian Hu, Xiaolong Xu:
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs. CoRR abs/2504.14655 (2025) - [i10]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Xiaolong Xu, Wanchun Dou:
Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction. CoRR abs/2505.18731 (2025) - [i9]Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian:
What Do Latent Action Models Actually Learn? CoRR abs/2506.15691 (2025) - 2024
- [c8]Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He:
Leveraging Web-Crawled Data for High-Quality Fine-Tuning. EMNLP (Findings) 2024: 11297-11312 - [i8]Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi:
LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR abs/2409.00509 (2024) - [i7]Wei Shen, Chuheng Zhang:
Policy Filtration in RLHF to Fine-Tune LLM for Code Generation. CoRR abs/2409.06957 (2024) - 2023
- [c7]Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang:
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI 2023: 6879-6887 - [i6]Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang:
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR abs/2303.01668 (2023) - 2022
- [c6]Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang:
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM 2022: 128-137 - [c5]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CIKM 2022: 1777-1786 - [c4]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM 2022: 21-30 - [i5]Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu:
TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR abs/2212.02125 (2022) - [i4]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CoRR abs/2212.03817 (2022) - 2021
- [j2]Shu Li, Wei Shen, Muhammad Bilal, Xiaolong Xu, Wanchun Dou, Nour Moustafa:
Fair and size-scalable participant selection framework for large-scale mobile crowdsensing. J. Syst. Archit. 119: 102273 (2021) - [c3]Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. CIKM 2021: 1609-1618 - [i3]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - [i2]Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. CoRR abs/2108.11124 (2021) - 2020
- [c2]Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CIKM 2020: 1355-1364 - [i1]Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CoRR abs/2008.11087 (2020)
2010 – 2019
- 2016
- [j1]Wei Shen, Wan-Chun Dou, Fan Wu, Shaojie Tang, Qiang Ni:
Combined Cloud: A Mixture of Voluntary Cloud and Reserved Instance Marketplace. J. Comput. Sci. Technol. 31(6): 1110-1123 (2016) - [c1]Wei Shen, Shu Li, Jun Yang, Wan-Chun Dou, Qiang Ni:
A Participant Selection Method for Crowdsensing Under an Incentive Mechanism. CollaborateCom 2016: 557-562
Coauthor Index
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