Longhui Yu

25 papers A* 6A 2Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Kimi Linear: An Expressive, Efficient Attention Architecture.
CoRR
Yu Zhang, Zongyu Lin, Xingcheng Yao, Jiaxi Hu, Fanqing Meng, Chengyin Liu, Xin Men, Songlin Yang, Zhiyuan Li, Wentao Li, Enzhe Lu, Weizhou Liu, Yanru Chen, Weixin Xu, Longhui Yu, Yejie Wang, Yu Fan, Longguang Zhong, Enming Yuan, Dehao Zhang, Yizhi Zhang, T. Y. Liu, Haiming Wang, Shengjun Fang, Weiran He, Shaowei Liu, Yiwei Li, Jianlin Su, Jiezhong Qiu, Bo Pang, Junjie Yan, Zhejun Jiang, Weixiao Huang, Bohong Yin, Jiacheng You, Chu Wei, Zhengtao Wang, Chao Hong, Yutian Chen, Guanduo Chen, Yucheng Wang, Huabin Zheng, Feng Wang, Yibo Liu, Mengnan Dong, Zheng Zhang, Siyuan Pan, Wenhao Wu, Yuhao Wu, Longyu Guan, Jiawen Tao, Guohong Fu, Xinran Xu, Yuzhi Wang, Guokun Lai, Yuxin Wu, Xinyu Zhou, Zhilin Yang, Yulun Du
2025 J jnl
Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning.
CoRR
Haiming Wang, Mert Unsal, Xiaohan Lin, Mantas Baksys, Junqi Liu, Marco Dos Santos, Flood Sung, Marina Vinyes, Zhenzhe Ying, Zekai Zhu, Jianqiao Lu, Hugues de Saxcé, Bolton Bailey, Chendong Song, Chenjun Xiao, Dehao Zhang, Ebony Zhang, Frederick Pu, Han Zhu, Jiawei Liu, Jonas Bayer, Julien Michel, Longhui Yu, Léo Dreyfus-Schmidt, Lewis Tunstall, Luigi Pagani, Moreira Machado, Pauline Bourigault, Ran Wang, Stanislas Polu, Thibaut Barroyer, Wen-Ding Li, Yazhe Niu, Yann Fleureau, Yangyang Hu, Zhouliang Yu, Zihan Wang, Zhilin Yang, Zhengying Liu, Jia Li
2025 — conf
Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning.
ACL (Findings)
Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang
2024 A* conf
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.
NeurIPS
Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
2024 J jnl
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision.
CoRR
Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
2024 — conf
Forward-Backward Reasoning in Large Language Models for Mathematical Verification.
ACL (Findings)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2024 A* conf
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
ICLR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2024 A* conf
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.
ICLR
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
2023 J jnl
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis.
CoRR
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
2023 J jnl
Continual Learning by Modeling Intra-Class Variation.
Trans. Mach. Learn. Res.
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
2023 A* conf
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality.
CVPR
Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian
2023 J jnl
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality.
CoRR
Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian
2023 J jnl
Forward-Backward Reasoning in Large Language Models for Verification.
CoRR
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
2023 A* conf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap.
ICLR
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
2023 J jnl
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap.
CoRR
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
2023 J jnl
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models.
CoRR
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
2023 J jnl
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization.
CoRR
Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue, Longhui Yu, Haiwen Feng, Zhen Liu, Juyeon Heo, Songyou Peng, Yandong Wen, Michael J. Black, Adrian Weller, Bernhard Schölkopf
2023 — conf
Style Expansion Without Forgetting for Handwritten Character Recognition.
ICANN (3)
Jie Ruan, Zhenyu Weng, Jian Zhang, Yuqing Wang, Longhui Yu, Qiankun Gao, Yuesheng Zhu
2022 J jnl
Continual Learning by Modeling Intra-Class Variation.
CoRR
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
2022 A conf
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
BMVC
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
2022 J jnl
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving.
CoRR
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
2022 A* conf
Memory Replay with Data Compression for Continual Learning.
ICLR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 J jnl
Memory Replay with Data Compression for Continual Learning.
CoRR
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
2022 A conf
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification.
ICME
Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu
2022 J jnl
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification.
CoRR
Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu