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2020 – today
- 2026
[j1]Chao Gao, Chao Min, Gaoxuan Li
, Weijie Yin, Liqing Wang:
Machine Learning Prediction of Mass Concrete Temperature Using Random Forest. IEEE Access 14: 15545-15557 (2026)- 2025
- [c1]Hongyuan Dong, Zijian Kang, Weijie Yin, LiangXiao LiangXiao, ChaoFeng ChaoFeng, Ran Jiao:
Scalable Vision Language Model Training via High Quality Data Curation. ACL (1) 2025: 33272-33293 - [i7]Hongyuan Dong, Zijian Kang, Weijie Yin, Xiao Liang, Chao Feng, Jiao Ran:
Scalable Vision Language Model Training via High Quality Data Curation. CoRR abs/2501.05952 (2025) - [i6]Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang:
Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents. CoRR abs/2506.17913 (2025) - [i5]Weijie Yin, Dingkang Yang, Hongyuan Dong, Zijian Kang, Jiacong Wang, Xiao Liang, Chao Feng, Jiao Ran:
SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement. CoRR abs/2507.01643 (2025) - [i4]Weitao Jia, Jinghui Lu, Haiyang Yu, Siqi Wang, Guozhi Tang, An-Lan Wang, Weijie Yin, Dingkang Yang, Yuxiang Nie, Bin Shan, Hao Feng, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang:
MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement. CoRR abs/2508.09670 (2025) - [i3]Weijie Yin, Yongjie Ye, Fangxun Shu, Yue Liao, Zijian Kang, Hongyuan Dong, Haiyang Yu, Dingkang Yang, Jiacong Wang, Han Wang, Wenzhuo Liu, Xiao Liang, Shuicheng Yan, Chao Feng:
SAIL-VL2 Technical Report. CoRR abs/2509.14033 (2025) - [i2]Keliang Liu, Dingkang Yang, Ziyun Qian, Weijie Yin, Yuchi Wang, Hongsheng Li, Jun Liu, Peng Zhai, Yang Liu, Lihua Zhang:
Reinforcement Learning Meets Large Language Models: A Survey of Advancements and Applications Across the LLM Lifecycle. CoRR abs/2509.16679 (2025) - [i1]Fangxun Shu, Yongjie Ye, Yue Liao, Zijian Kang, Weijie Yin, Jiacong Wang, Xiao Liang, Shuicheng Yan, Chao Feng:
SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning. CoRR abs/2511.02280 (2025)
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