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2020 – today
- 2023
[i5]Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins:
Substance or Style: What Does Your Image Embedding Know? CoRR abs/2307.05610 (2023)- 2021
- [c10]Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CVPR 2021: 7608-7616 - [c9]Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng:
A Simple and Effective Positional Encoding for Transformers. EMNLP (1) 2021: 2974-2988 - [c8]Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang
:
Neural Structured Learning: Training Neural Networks with Structured Signals. WSDM 2021: 1150-1153 - [i4]Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng:
Demystifying the Better Performance of Position Encoding Variants for Transformer. CoRR abs/2104.08698 (2021) - [i3]Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins:
CARLS: Cross-platform Asynchronous Representation Learning System. CoRR abs/2105.12849 (2021) - 2020
- [c7]Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu:
Neural Structured Learning: Training Neural Networks with Structured Signals. KDD 2020: 3501-3502 - [i2]Henry Tsai, Jayden Ooi, Chun-Sung Ferng, Hyung Won Chung, Jason Riesa:
Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition. CoRR abs/2008.06808 (2020) - [i1]Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan:
Adversarial Robustness Across Representation Spaces. CoRR abs/2012.00802 (2020)
2010 – 2019
- 2015
- [j2]Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin:
Active Learning Using Hint Information. Neural Comput. 27(8): 1738-1765 (2015) - 2013
- [j1]Chun-Sung Ferng, Hsuan-Tien Lin:
Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits. IEEE Trans. Neural Networks Learn. Syst. 24(11): 1888-1900 (2013) - 2012
- [c6]Po-Lung Chen, Chen-Tse Tsai, Yao-Nan Chen, Ku-Chun Chou, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Yu-Cheng Chou, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Rong-Bing Chiu, Chieh-Yen Lin, Chien-Chih Wang, Po-Wei Wang, Wei-Lun Su, Chen-Hung Wu, Tsung-Ting Kuo, Todd G. McKenzie, Ya-Hsuan Chang, Chun-Sung Ferng, Chia-Mau Ni, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin:
A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. KDD Cup 2012: 21-60 - [c5]Todd G. McKenzie, Chun-Sung Ferng, Yao-Nan Chen, Chun-Liang Li, Cheng-Hao Tsai, Kuan-Wei Wu, Ya-Hsuan Chang, Chung-Yi Li, Wei-Shih Lin, Shu-Hao Yu, Chieh-Yen Lin, Po-Wei Wang, Chia-Mau Ni, Wei-Lun Su, Tsung-Ting Kuo, Chen-Tse Tsai, Po-Lung Chen, Rong-Bing Chiu, Ku-Chun Chou, Yu-Cheng Chou, Chien-Chih Wang, Chen-Hung Wu, Hsuan-Tien Lin, Chih-Jen Lin, Shou-De Lin:
Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. KDD Cup 2012: 101-135 - [c4]Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin:
Active Learning with Hinted Support Vector Machine. ACML 2012: 221-235 - 2011
- [c3]Chun-Sung Ferng, Hsuan-Tien Lin:
Multi-label Classification with Error-correcting Codes. ACML 2011: 281-295
2000 – 2009
- 2009
- [c2]Liang-Chi Hsieh, Kuan-Ting Chen, Chien-Hsing Chiang, Yi-Hsuan Yang, Guan-Long Wu, Chun-Sung Ferng, Hsiu-Wen Hsueh, Angela Charng-Rurng Tsai, Winston H. Hsu:
Canonical image selection and efficient image graph construction for large-scale flickr photos. ACM Multimedia 2009: 1121-1122 - [c1]Hung-Yi Lo, Kai-Wei Chang, Shang-Tse Chen, Tsung-Hsien Chiang, Chun-Sung Ferng, Cho-Jui Hsieh, Yi-Kuang Ko, Tsung-Ting Kuo, Hung-Che Lai, Ken-Yi Lin, Chia-Hsuan Wang, Hsiang-Fu Yu, Chih-Jen Lin, Hsuan-Tien Lin, Shou-De Lin:
An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 2009: 57-64
Coauthor Index
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