Chun-Sung Ferng

According to our database, Chun-Sung Ferng authored at least 18 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Sufficient Context: A New Lens on Retrieval Augmented Generation Systems.

Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian

CoRR, 2024

SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models.

Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen

CoRR, 2024

2023

Substance or Style: What Does Your Image Embedding Know?

Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins

CoRR, 2023

2021

CARLS: Cross-platform Asynchronous Representation Learning System.

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

CoRR, 2021

Demystifying the Better Performance of Position Encoding Variants for Transformer.

Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng

CoRR, 2021

Neural Structured Learning: Training Neural Networks with Structured Signals.

Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang

Proceedings of the WSDM '21, 2021

A Simple and Effective Positional Encoding for Transformers.

Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Adversarial Robustness Across Representation Spaces.

Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition.

Henry Tsai, Jayden Ooi, Chun-Sung Ferng, Hyung Won Chung, Jason Riesa

CoRR, 2020

Neural Structured Learning: Training Neural Networks with Structured Signals.

Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2015

Active Learning Using Hint Information.

Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin

Neural Comput., 2015

2013

Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits.

Chun-Sung Ferng, Hsuan-Tien Lin

IEEE Trans. Neural Networks Learn. Syst., 2013

2012

Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation.

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

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

Active Learning with Hinted Support Vector Machine.

Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin

Proceedings of the 4th Asian Conference on Machine Learning, 2012

A Linear Ensemble of Individual and Blended Models for Music Rating Prediction.

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

Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011, 2012

2011

Multi-label Classification with Error-correcting Codes.

Chun-Sung Ferng, Hsuan-Tien Lin

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

2009

An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes.

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

Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009

Canonical image selection and efficient image graph construction for large-scale flickr photos.

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

Proceedings of the 17th International Conference on Multimedia 2009, 2009