Wei Shen

According to our database, Wei Shen authored at least 20 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction.

Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Xiaolong Xu, Wanchun Dou

CoRR, May, 2025

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs.

Yunhui Xia, Wei Shen, Yan Wang, Jason Klein Liu, Huifeng Sun, Siyue Wu, Jian Hu, Xiaolong Xu

CoRR, April, 2025

What Do Latent Action Models Actually Learn?

Chuheng Zhang, Tim Pearce, Pushi Zhang, Kaixin Wang, Xiaoyu Chen, Wei Shen, Li Zhao, Jiang Bian

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation.

Xiaolong Xu, Xudong Zhao, Haolong Xiang, Xuyun Zhang, Wei Shen, Hongsheng Hu, Lianyong Qi

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Policy Filtration for RLHF to Mitigate Noise in Reward Models.

Chuheng Zhang, Wei Shen, Li Zhao, Xuyun Zhang, Xiaolong Xu, Wanchun Dou, Jiang Bian

Proceedings of the Forty-second International Conference on Machine Learning, 2025

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence.

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.

Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, WangYan WangYan, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Policy Filtration in RLHF to Fine-Tune LLM for Code Generation.

Wei Shen, Chuheng Zhang

CoRR, 2024

LongRecipe: Recipe for Efficient Long Context Generalization in Large Language Models.

Zhiyuan Hu, Yuliang Liu, Jinman Zhao, Suyuchen Wang, Yan Wang, Wei Shen, Qing Gu, Anh Tuan Luu, See-Kiong Ng, Zhiwei Jiang, Bryan Hooi

CoRR, 2024

Leveraging Web-Crawled Data for High-Quality Fine-Tuning.

Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

RePreM: Representation Pre-training with Masked Model for Reinforcement Learning.

Yuanying Cai, Chuheng Zhang, Wei Shen, Xuyun Zhang, Wenjie Ruan, Longbo Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed Datasets.

Yuanying Cai, Chuheng Zhang, Li Zhao, Wei Shen, Xuyun Zhang, Lei Song, Jiang Bian, Tao Qin, Tieyan Liu

Proceedings of the IEEE International Conference on Data Mining, 2022

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS.

Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations.

Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Fair and size-scalable participant selection framework for large-scale mobile crowdsensing.

Shu Li, Wei Shen, Muhammad Bilal, Xiaolong Xu, Wanchun Dou, Nour Moustafa

J. Syst. Archit., 2021

The Medical Segmentation Decathlon.

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

CoRR, 2021

Inductive Matrix Completion Using Graph Autoencoder.

Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing.

Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2016

Combined Cloud: A Mixture of Voluntary Cloud and Reserved Instance Marketplace.

Wei Shen, Wan-Chun Dou, Fan Wu, Shaojie Tang, Qiang Ni

J. Comput. Sci. Technol., 2016

A Participant Selection Method for Crowdsensing Under an Incentive Mechanism.

Wei Shen, Shu Li, Jun Yang, Wan-Chun Dou, Qiang Ni

Proceedings of the Collaborate Computing: Networking, Applications and Worksharing, 2016