Wei Shen - RankMe

25 papers A* 4A 4C 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. ICML 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
2025	J	`jnl`	AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence. CoRR 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
2025	J	`jnl`	LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs. CoRR Yunhui Xia, Wei Shen, Yan Wang, Jason Klein Liu, Huifeng Sun, Siyue Wu, Jian Hu, Xiaolong Xu
2025	—	`conf`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. ACL (1) Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2025	A*	`conf`	Policy Filtration for RLHF to Mitigate Noise in Reward Models. ICML Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian
2025	J	`jnl`	Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction. CoRR Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Xiaolong Xu, Wanchun Dou
2025	J	`jnl`	What Do Latent Action Models Actually Learn? CoRR Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian
2024	—	`conf`	Leveraging Web-Crawled Data for High-Quality Fine-Tuning. EMNLP (Findings) Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He
2024	J	`jnl`	LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models. CoRR Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi
2024	J	`jnl`	Policy Filtration in RLHF to Fine-Tune LLM for Code Generation. CoRR Wei Shen, Chuheng Zhang
2023	A*	`conf`	RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. AAAI Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
2023	J	`jnl`	RePreM: Representation Pre-training with Masked Model for Reinforcement Learning. CoRR Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang
2022	A	`conf`	A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CIKM Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie
2022	J	`jnl`	A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CoRR Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie
2022	A	`conf`	Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang
2022	A*	`conf`	TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. ICDM Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2022	J	`jnl`	TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets. CoRR Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu
2021	J	`jnl`	Fair and size-scalable participant selection framework for large-scale mobile crowdsensing. J. Syst. Archit. Shu Li, Wei Shen, Muhammad Bilal, Xiaolong Xu, Wanchun Dou, Nour Moustafa
2021	A	`conf`	Inductive Matrix Completion Using Graph Autoencoder. CIKM Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu
2021	J	`jnl`	Inductive Matrix Completion Using Graph Autoencoder. CoRR Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu
2021	J	`jnl`	The Medical Segmentation Decathlon. CoRR 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
2020	A	`conf`	Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CIKM Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang
2020	J	`jnl`	Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CoRR Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang
2016	C	`conf`	A Participant Selection Method for Crowdsensing Under an Incentive Mechanism. CollaborateCom Wei Shen, Shu Li, Jun Yang, Wan-Chun Dou, Qiang Ni
2016	J	`jnl`	Combined Cloud: A Mixture of Voluntary Cloud and Reserved Instance Marketplace. J. Comput. Sci. Technol. Wei Shen, Wan-Chun Dou, Fan Wu, Shaojie Tang, Qiang Ni