Hongkun Yu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 21

Top Topics

Adaboost Classifier

Top Venues

Publications

Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ramé, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Léonard Hussenot, Olivier Bachem, Edouard Leurent
Conditioned Language Policy: A General Framework for Steerable Multi-Objective Finetuning. CoRR (2024)
Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji
Enable Language Models to Implicitly Learn Self-Improvement From Data. CoRR (2023)
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. ICLR (2023)
Sheng Shen, Le Hou, Yanqi Zhou, Nan Du, Shayne Longpre, Jason Wei, Hyung Won Chung, Barret Zoph, William Fedus, Xinyun Chen, Tu Vu, Yuexin Wu, Wuyang Chen, Albert Webson, Yunxuan Li, Vincent Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou
Flan-MoE: Scaling Instruction-Finetuned Language Models with Sparse Mixture of Experts. CoRR (2023)
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei
Scaling Instruction-Finetuned Language Models. CoRR (2022)
Hongkun Yu, Thomas Florian, Vince D. Calhoun, Dong Hye Ye
Deep Learning From Imaging Genetics for Schizophrenia Classification. ICIP (2022)
Jiaxin Huang, Shixiang Shane Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han
Large Language Models Can Self-Improve. CoRR (2022)
Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. CoRR (2022)
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han
On the Transformer Growth for Progressive BERT Training. NAACL-HLT (2021)
Frederick Liu, Siamak Shakeri, Hongkun Yu, Jing Li
EncT5: Fine-tuning T5 Encoder for Non-autoregressive Tasks. CoRR (2021)
Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han
On the Transformer Growth for Progressive BERT Training. CoRR (2020)
Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. ACL (2020)
Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. CoRR (2020)
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski
Generating Representative Headlines for News Stories. WWW (2020)
Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, Hongkun Yu, You Wu, Cong Yu, Daniel Finnie, Jiaqi Zhai, Nicholas Zukoski
Generating Representative Headlines for News Stories. CoRR (2020)
Kunpeng Wang, Shizhen Xu, Hongkun Yu, Haohuan Fu, Guangwen Yang
GPU-based 3D cryo-EM reconstruction with key-value streams: poster. PPoPP (2019)
Liang Qiao, Hongkun Yu, Kunpeng Wang, Ruixin Sun, Wenlai Zhao, Haohuan Fu, Guangwen Yang
Large-scale Parallel Design for Cryo-EM Structure Determination on Heterogeneous Many-core Architectures. BIBM (2019)
Kunpeng Wang, Shizhen Xu, Haohuan Fu, Hongkun Yu, Wenlai Zhao, Guangwen Yang
Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model. ICS (2019)
Ouyi Li, Wenlai Zhao, Xuancheng Huang, Yushu Chen, Lin Gan, Hongkun Yu, Jiacheng Zhang, Yang Liu, Haohuan Fu, Guangwen Yang
Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer. ICCS (1) (2019)
Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han
EKNOT: Event Knowledge from News and Opinions in Twitter. AAAI (2016)
Hongkun Yu, Jingbo Shang, Meichun Hsu, Malú Castellanos, Jiawei Han
Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. CIKM (2016)
Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu
Are Features Equally Representative? A Feature-Centric Recommendation. AAAI (2015)
Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han
Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation. ICDM (2015)
Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim
Latent Factor Transition for Dynamic Collaborative Filtering. SDM (2014)