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Conference and Workshop Papers
- 2023
[c3]Feiqing Huang, Kexin Lu, Yuxi Cai, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li:
Encoding Recurrence into Transformers. ICLR 2023- 2020
- [c2]Di Wang
, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian:
Compact Autoregressive Network. AAAI 2020: 6145-6152 - [c1]Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian:
Do RNN and LSTM have Long Memory? ICML 2020: 11365-11375
Informal and Other Publications
- 2024
- [i4]Tianxi Cai, Feiqing Huang, Ryumei Nakada, Linjun Zhang, Doudou Zhou:
Contrastive Learning on Multimodal Analysis of Electronic Health Records. CoRR abs/2403.14926 (2024) - 2021
- [i3]Feiqing Huang, Yuefeng Si, Yao Zheng, Guodong Li:
A New Measure of Model Redundancy for Compressed Convolutional Neural Networks. CoRR abs/2112.04857 (2021) - 2020
- [i2]Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian:
Do RNN and LSTM have Long Memory? CoRR abs/2006.03860 (2020) - 2019
- [i1]Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian:
Compact Autoregressive Network. CoRR abs/1909.03830 (2019)
Coauthor Index
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