Longhui Yu

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 20

Top Topics

Document Ranking

Efficient Compression

Top Venues

Publications

Zhiqing Sun, Longhui Yu, Yikang Shen, Weiyang Liu, Yiming Yang, Sean Welleck, Chuang Gan
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision. CoRR (2024)
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
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. ICLR (2024)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Mathematical Verification. ACL (Findings) (2024)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. ICLR (2024)
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. CoRR (2023)
Weisen Jiang, Han Shi, Longhui Yu, Zhengying Liu, Yu Zhang, Zhenguo Li, James T. Kwok
Forward-Backward Reasoning in Large Language Models for Verification. CoRR (2023)
Weiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf
Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap. ICLR (2023)
Shoukang Hu, Kaichen Zhou, Kaiyu Li, Longhui Yu, Lanqing Hong, Tianyang Hu, Zhenguo Li, Gim Hee Lee, Ziwei Liu
ConsistentNeRF: Enhancing Neural Radiance Fields with 3D Consistency for Sparse View Synthesis. CoRR (2023)
Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality. CVPR (2023)
Yuqing Wang, Yizhi Wang, Longhui Yu, Yuesheng Zhu, Zhouhui Lian
DeepVecFont-v2: Exploiting Transformers to Synthesize Vector Fonts with Higher Quality. CoRR (2023)
Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu, Yu Zhang, James T. Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models. CoRR (2023)
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
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization. CoRR (2023)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. Trans. Mach. Learn. Res. 2023 (2023)
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
Memory Replay with Data Compression for Continual Learning. ICLR (2022)
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. BMVC (2022)
Longhui Yu, Yifan Zhang, Lanqing Hong, Fei Chen, Zhenguo Li
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving. CoRR (2022)
Longhui Yu, Tianyang Hu, Lanqing Hong, Zhen Liu, Adrian Weller, Weiyang Liu
Continual Learning by Modeling Intra-Class Variation. CoRR (2022)
Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification. ICME (2022)
Liyuan Wang, Xingxing Zhang, Kuo Yang, Longhui Yu, Chongxuan Li, Lanqing Hong, Shifeng Zhang, Zhenguo Li, Yi Zhong, Jun Zhu
Memory Replay with Data Compression for Continual Learning. CoRR (2022)
Longhui Yu, Zhenyu Weng, Yuqing Wang, Yuesheng Zhu
Multi-Teacher Knowledge Distillation for Incremental Implicitly-Refined Classification. CoRR (2022)