Hongkun Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
14
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICPP | Auto-Stencil: Performance-Driven Stencil Optimization with Hardware Feedback for LLMs. | Quan Deng, Lin Gan, Hongkun Yu, Wenlai Zhao, Guangwen Yang |
| 2024 | EMNLP | Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning. | Kaiwen Wang, Rahul Kidambi, Ryan Sullivan, Alekh Agarwal, Christoph Dann, Andrea Michi, Marco Gelmi, Yunxuan Li, Raghav Gupta, Avinava Dubey, Alexandre Ram, Johan Ferret, Geoffrey Cideron, Le Hou, Hongkun Yu, Amr Ahmed, Aranyak Mehta, Lonard Hussenot, Olivier Bachem, Edouard Leurent |
| 2024 | EMNLP | Multi-step Problem Solving Through a Verifier: An Empirical Analysis on Model-induced Process Supervision. | Zihan Wang, Yunxuan Li, Yuexin Wu, Liangchen Luo, Le Hou, Hongkun Yu, Jingbo Shang |
| 2024 | ICLR | Enabling Lanuguage Models to Implicitly Learn Self-Improvement. | Ziqi Wang, Le Hou, Tianjian Lu, Yuexin Wu, Yunxuan Li, Hongkun Yu, Heng Ji |
| 2024 | ICLR | Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models. | 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 Y. Zhao, Hongkun Yu, Kurt Keutzer, Trevor Darrell, Denny Zhou |
| 2023 | EMNLP | Large Language Models Can Self-Improve. | Jiaxin Huang, Shixiang Gu, Le Hou, Yuexin Wu, Xuezhi Wang, Hongkun Yu, Jiawei Han |
| 2023 | ICLR | Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation. | Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji |
| 2022 | ICIP | Deep Learning From Imaging Genetics for Schizophrenia Classification. | Hongkun Yu, Thomas Florian, Vince D. Calhoun, Dong Hye Ye |
| 2021 | NAACL | On the Transformer Growth for Progressive BERT Training. | Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han |
| 2020 | ACL | MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices. | Zhiqing Sun, Hongkun Yu, Xiaodan Song, Renjie Liu, Yiming Yang, Denny Zhou |
| 2020 | WWW | Generating Representative Headlines for News Stories. | Xiaotao Gu, Yuning Mao, Jiawei Han, Jialu Liu, You Wu, Cong Yu, Daniel Finnie, Hongkun Yu, Jiaqi Zhai, Nicholas Zukoski |
| 2019 | ICCS | Scaling the Training of Recurrent Neural Networks on Sunway TaihuLight Supercomputer. | Ouyi Li, Wenlai Zhao, Xuancheng Huang, Yushu Chen, Lin Gan, Hongkun Yu, Jiacheng Zhang, Yang Liu, Haohuan Fu, Guangwen Yang |
| 2019 | ICS | Parallelizing cryo-EM 3D reconstruction on GPU cluster with a partitioned and streamed model. | Kunpeng Wang, Shizhen Xu, Haohuan Fu, Hongkun Yu, Wenlai Zhao, Guangwen Yang |
| 2019 | PPoPP | GPU-based 3D cryo-EM reconstruction with key-value streams: poster. | Kunpeng Wang, Shizhen Xu, Hongkun Yu, Haohuan Fu, Guangwen Yang |
| 2016 | AAAI | EKNOT: Event Knowledge from News and Opinions in Twitter. | Min Li, Jingjing Wang, Wenzhu Tong, Hongkun Yu, Xiuli Ma, Yucheng Chen, Haoyan Cai, Jiawei Han |
| 2016 | CIKM | Data-Driven Contextual Valence Shifter Quantification for Multi-Theme Sentiment Analysis. | Hongkun Yu, Jingbo Shang, Meichun Hsu, Mal Castellanos, Jiawei Han |
| 2015 | AAAI | Are Features Equally Representative? A Feature-Centric Recommendation. | Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu |
| 2015 | ICDM | Mining Multi-aspect Reflection of News Events in Twitter: Discovery, Linking and Presentation. | Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han |
| 2014 | SDM | Latent Factor Transition for Dynamic Collaborative Filtering. | Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, Ee-Peng Lim |