Jie Liu

According to our database, Jie Liu authored at least 37 papers between 2020 and 2026.

Collaborative distances:

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

2026

Leveraging Verifier-Based Reinforcement Learning in Image Editing.

Hanzhong Guo, Jie Wu, Jie Liu, Yu Gao, Zilyu Ye, Linxiao Yuan, Xionghui Wang, Yizhou Yu, Weilin Huang

CoRR, April, 2026

UniGRPO: Unified Policy Optimization for Reasoning-Driven Visual Generation.

Jie Liu, Zilyu Ye, Linxiao Yuan, Shenhan Zhu, Yu Gao, Jie Wu, Kunchang Li, Xionghui Wang, Xiaonan Nie, Weilin Huang, Wanli Ouyang

CoRR, March, 2026

COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values.

Siwei Wu, JinCheng Ren, Xeron Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tyler Loakman, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zili Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Eleanor Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code.

Boxiong Su, Mingquan Wu, Jie Liu, Yang Feng, Zheng Niu, Fang Chen, Meng Wang

Dataset, November, 2025

Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code.

Boxiong Su, Mingquan Wu, Jie Liu, Yang Feng, Zheng Niu, Fang Chen, Meng Wang

Dataset, November, 2025

Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code.

Boxiong Su, Mingquan Wu, Jie Liu, Yang Feng, Zheng Niu, Fang Chen, Meng Wang

Dataset, November, 2025

Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code.

Boxiong Su, Mingquan Wu, Jie Liu, Yang Feng, Zheng Niu, Fang Chen, Meng Wang

Dataset, November, 2025

GRPO-Guard: Mitigating Implicit Over-Optimization in Flow Matching via Regulated Clipping.

Jing Wang, Jiajun Liang, Jie Liu, Henglin Liu, Gongye Liu, Jun Zheng, Wanyuan Pang, Ao Ma, Zhenyu Xie, Xintao Wang, Meng Wang, Pengfei Wan, Xiaodan Liang

CoRR, October, 2025

VR-Thinker: Boosting Video Reward Models through Thinking-with-Image Reasoning.

Qunzhong Wang, Jie Liu, Jiajun Liang, Yilei Jiang, Yuanxing Zhang, Jinyuan Chen, Yaozhi Zheng, Xintao Wang, Pengfei Wan, Xiangyu Yue, Jiaheng Liu

CoRR, October, 2025

HiPO: Hybrid Policy Optimization for Dynamic Reasoning in LLMs.

Ken Deng, Zizheng Zhan, Wen Xiang, Wenqiang Zhu, Tianhao Peng, Xinping Lei, Weihao Li, Jingxuan Xu, Kun Wu, Yifan Yao, Haoyang Huang, Huaixi Tang, Kepeng Lei, Zhiyi Lai, Songwei Yu, Zong-Xian Feng, Zuchen Gao, Weihao Xie, Chenchen Zhang, Yanan Wu, Yuanxing Zhang, Lecheng Huang, Yuqun Zhang, Jie Liu, Zhaoxiang Zhang, Haotian Zhang, Bin Chen, Jiaheng Liu

CoRR, September, 2025

RewardDance: Reward Scaling in Visual Generation.

Jie Wu, Yu Gao, Zilyu Ye, Ming Li, Liang Li, Hanzhong Guo, Jie Liu, Zeyue Xue, Xiaoxia Hou, Wei Liu, Yan Zeng, Weilin Huang

CoRR, September, 2025

Global 1km Resolution Solar Photovoltaic Resource,Technical,and Economic Potential:Raster Datasets,Country-Level Statistics and Google Earth Engine Code.

Boxiong Su, Mingquan Wu, Jie Liu, Yang Feng, Zheng Niu, Fang Chen, Meng Wang

Dataset, August, 2025

Semantic-Based Resource Management Based on D2D Multicast Content Delivery: A Game-Theoretic Approach.

Zhi Ji, Xinrong Guan, Jie Liu, Xinxin Shen, Meng Wang

IEEE Trans. Veh. Technol., May, 2025

Flow-GRPO: Training Flow Matching Models via Online RL.

Jie Liu, Gongye Liu, Jiajun Liang, Yangguang Li, Jiaheng Liu, Xintao Wang, Pengfei Wan, Di Zhang, Wanli Ouyang

CoRR, May, 2025

Improving Video Generation with Human Feedback.

Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Wenyu Qin, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di Zhang, Kun Gai, Yujiu Yang, Wanli Ouyang

CoRR, January, 2025

Improving Video Generation with Human Feedback.

Jie Liu, Gongye Liu, Jiajun Liang, Ziyang Yuan, Xiaokun Liu, Mingwu Zheng, Xiele Wu, Qiulin Wang, Menghan Xia, Xintao Wang, Xiaohong Liu, Fei Yang, Pengfei Wan, Di Zhang, Kun Gai, Yujiu Yang, Wanli Ouyang

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

2024

MaskMA: Towards Zero-Shot Multi-Agent Decision Making with Mask-Based Collaborative Learning.

Jie Liu, Yinmin Zhang, Chuming Li, Zhiyuan You, Zhanhui Zhou, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang

Trans. Mach. Learn. Res., 2024

Adaptive pessimism via target Q-value for offline reinforcement learning.

Jie Liu, Yinmin Zhang, Chuming Li, Yaodong Yang, Yu Liu, Wanli Ouyang

Neural Networks, 2024

Iterative Length-Regularized Direct Preference Optimization: A Case Study on Improving 7B Language Models to GPT-4 Level.

Jie Liu, Zhanhui Zhou, Jiaheng Liu, Xingyuan Bu, Chao Yang, Hansen Zhong, Wanli Ouyang

CoRR, 2024

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.

Ge Zhang, Scott Qu, Jiaheng Liu, Chenchen Zhang, Chenghua Lin, Chou Leuang Yu, Danny Pan, Esther Cheng, Jie Liu, Qunshu Lin, Raven Yuan, Tuney Zheng, Wei Pang, Xinrun Du, Yiming Liang, Yinghao Ma, Yizhi Li, Ziyang Ma, Bill Y. Lin, Emmanouil Benetos, Huan Yang, Junting Zhou, Kaijing Ma, Minghao Liu, Morry Niu, Noah Wang, Quehry Que, Ruibo Liu, Sine Liu, Shawn Guo, Soren Gao, Wangchunshu Zhou, Xinyue Zhang, Yizhi Zhou, Yubo Wang, Yuelin Bai, Yuhan Zhang, Yuxiang Zhang, Zenith Wang, Zhenzhu Yang, Zijian Zhao, Jiajun Zhang, Wanli Ouyang, Wenhao Huang, Wenhu Chen

CoRR, 2024

Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models.

Zhanhui Zhou, Zhixuan Liu, Jie Liu, Zhichen Dong, Chao Yang, Yu Qiao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.

Jiaheng Liu, Chenchen Zhang, Jinyang Guo, Yuanxing Zhang, Haoran Que, Ken Deng, Zhiqi Bai, Jie Liu, Ge Zhang, Jiakai Wang, Yanan Wu, Congnan Liu, Jiamang Wang, Lin Qu, Wenbo Su, Bo Zheng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

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

Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization.

Zhanhui Zhou, Jie Liu, Jing Shao, Xiangyu Yue, Chao Yang, Wanli Ouyang, Yu Qiao

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

Emulated Disalignment: Safety Alignment for Large Language Models May Backfire!

Zhanhui Zhou, Jie Liu, Zhichen Dong, Jiaheng Liu, Chao Yang, Wanli Ouyang, Yu Qiao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

ConceptMath: A Bilingual Concept-wise Benchmark for Measuring Mathematical Reasoning of Large Language Models.

Yanan Wu, Jie Liu, Xingyuan Bu, Jiaheng Liu, Zhanhui Zhou, Yuanxing Zhang, Chenchen Zhang, Zhiqi Bai, Haibin Chen, Tiezheng Ge, Wanli Ouyang, Wenbo Su, Bo Zheng

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

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.

Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Masked Pretraining for Multi-Agent Decision Making.

Jie Liu, Yinmin Zhang, Chuming Li, Chao Yang, Yaodong Yang, Yu Liu, Wanli Ouyang

CoRR, 2023

Distance-rank Aware Sequential Reward Learning for Inverse Reinforcement Learning with Sub-optimal Demonstrations.

Lu Li, Yuxin Pan, Ruobing Chen, Jie Liu, Zilin Wang, Yu Liu, Zhiheng Li

CoRR, 2023

Beyond One-Preference-for-All: Multi-Objective Direct Preference Optimization for Language Models.

Zhanhui Zhou, Jie Liu, Chao Yang, Jing Shao, Yu Liu, Xiangyu Yue, Wanli Ouyang, Yu Qiao

CoRR, 2023

Efficient Reinforcement Learning for Autonomous Driving with Parameterized Skills and Priors.

Letian Wang, Jie Liu, Hao Shao, Wenshuo Wang, Ruobing Chen, Yu Liu, Steven L. Waslander

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.

Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency.

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

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

2021

Truncation-Free Matching System for Display Advertising at Alibaba.

Jin Li, Jie Liu, Shangzhou Li, Yao Xu, Ran Cao, Qi Li, Biye Jiang, Guan Wang, Han Zhu, Kun Gai, Xiaoqiang Zhu

CoRR, 2021

Inception Convolution With Efficient Dilation Search.

Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Adaptive Gradient Method with Resilience and Momentum.

Jie Liu, Chen Lin, Chuming Li, Lu Sheng, Ming Sun, Junjie Yan, Wanli Ouyang

CoRR, 2020