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2020 – today
- 2026
[i15]Weinan Dai, Hanlin Wu, Qiying Yu, Huan-ang Gao, Jiahao Li, Chengquan Jiang, Weiqiang Lou, Yufan Song, Hongli Yu, Jiaze Chen, Wei-Ying Ma, Ya-Qin Zhang, Jingjing Liu, Mingxuan Wang, Xin Liu, Hao Zhou:
CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation. CoRR abs/2602.24286 (2026)- 2025
- [c9]Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang:
DAPO: An Open-Source LLM Reinforcement Learning System at Scale. NeurIPS 2025 - [i14]Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang:
DAPO: An Open-Source LLM Reinforcement Learning System at Scale. CoRR abs/2503.14476 (2025) - [i13]Yu Yue, Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Cheng-Xiang Wang, Tiantian Fan, Zhengyin Du, Xiangpeng Wei, Xiangyu Yu, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan:
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks. CoRR abs/2504.05118 (2025) - [i12]Jiangjie Chen, Qianyu He, Siyu Yuan, Aili Chen, Zhicheng Cai, Weinan Dai, Hongli Yu, Qiying Yu, Xuefeng Li, Jiaze Chen, Hao Zhou, Mingxuan Wang:
Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles. CoRR abs/2505.19914 (2025) - [i11]Tiantian Fan, Lingjun Liu, Yu Yue, Jiaze Chen, Chengyi Wang, Qiying Yu, Chi Zhang, Zhiqi Lin, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Bole Ma, Mofan Zhang, Gaohong Liu, Ru Zhang, Haotian Zhou, Cong Xie, Ruidong Zhu, Zhi Zhang, Xin Liu, Mingxuan Wang, Lin Yan, Yonghui Wu:
Truncated Proximal Policy Optimization. CoRR abs/2506.15050 (2025) - [i10]Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou:
MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent. CoRR abs/2507.02259 (2025) - [i9]Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma:
ShortListing Model: A Streamlined SimplexDiffusion for Discrete Variable Generation. CoRR abs/2508.17345 (2025) - 2024
- [c8]Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Yue Cao, Xinlong Wang, Jingjing Liu:
CapsFusion: Rethinking Image-Text Data at Scale. CVPR 2024: 14022-14032 - [c7]Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Generative Multimodal Models are In-Context Learners. CVPR 2024: 14398-14409 - [c6]Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Emu: Generative Pretraining in Multimodality. ICLR 2024 - [c5]Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu:
Multimodal Molecular Pretraining via Modality Blending. ICLR 2024 - [i8]Quan Sun, Jinsheng Wang, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Xinlong Wang:
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters. CoRR abs/2402.04252 (2024) - [i7]Xinlong Wang, Xiaosong Zhang, Zhengxiong Luo, Quan Sun, Yufeng Cui, Jinsheng Wang, Fan Zhang, Yueze Wang, Zhen Li, Qiying Yu, Yingli Zhao, Yulong Ao, Xuebin Min, Tao Li, Boya Wu, Bo Zhao, Bowen Zhang, Liangdong Wang, Guang Liu, Zheqi He, Xi Yang, Jingjing Liu, Yonghua Lin, Tiejun Huang, Zhongyuan Wang:
Emu3: Next-Token Prediction is All You Need. CoRR abs/2409.18869 (2024) - 2023
- [c4]Libo Qin, Zhouyang Li, Qiying Yu, Lehan Wang, Wanxiang Che:
Towards Complex Scenarios: Building End-to-End Task-Oriented Dialogue System across Multiple Knowledge Bases. AAAI 2023: 13483-13491 - [c3]Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu:
Multimodal Federated Learning via Contrastive Representation Ensemble. ICLR 2023 - [i6]Qiying Yu, Yang Liu, Yimu Wang, Ke Xu, Jingjing Liu:
Multimodal Federated Learning via Contrastive Representation Ensemble. CoRR abs/2302.08888 (2023) - [i5]Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Generative Pretraining in Multimodality. CoRR abs/2307.05222 (2023) - [i4]Qiying Yu, Yudi Zhang, Yuyan Ni, Shikun Feng, Yanyan Lan, Hao Zhou, Jingjing Liu:
Unified Molecular Modeling via Modality Blending. CoRR abs/2307.06235 (2023) - [i3]Qiying Yu, Quan Sun, Xiaosong Zhang, Yufeng Cui, Fan Zhang, Xinlong Wang, Jingjing Liu:
CapsFusion: Rethinking Image-Text Data at Scale. CoRR abs/2310.20550 (2023) - [i2]Quan Sun, Yufeng Cui, Xiaosong Zhang, Fan Zhang, Qiying Yu, Zhengxiong Luo, Yueze Wang, Yongming Rao, Jingjing Liu, Tiejun Huang, Xinlong Wang:
Generative Multimodal Models are In-Context Learners. CoRR abs/2312.13286 (2023) - 2022
- [c2]Qiying Yu, Jieming Lou, Xianyuan Zhan
, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu:
Adversarial Contrastive Learning via Asymmetric InfoNCE. ECCV (5) 2022: 53-69 - [i1]Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu:
Adversarial Contrastive Learning via Asymmetric InfoNCE. CoRR abs/2207.08374 (2022) - 2021
- [c1]Yan Ma, Qiying Yu, Xiaohong He, Zhihong Song, Silang Yang, Yu Sun, Qihang Lv, Tingyu Xie, Hao Tian, Chaojiang Gu:
EcoHIV/NDK-NanoLuc, A Fluorescein-Labeled Virus Permits to Investigate HIV-1 Infection in Mice. ICBET 2021: 127-132
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