Chun-Sung Ferng

21 papers A* 5A 1C 2Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Sufficient Context: A New Lens on Retrieval Augmented Generation Systems. ICLR Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian
2024	A*	`conf`	SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models. NeurIPS Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen
2024	J	`jnl`	SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models. CoRR Jianyi Zhang, Da-Cheng Juan, Cyrus Rashtchian, Chun-Sung Ferng, Heinrich Jiang, Yiran Chen
2024	J	`jnl`	Sufficient Context: A New Lens on Retrieval Augmented Generation Systems. CoRR Hailey Joren, Jianyi Zhang, Chun-Sung Ferng, Da-Cheng Juan, Ankur Taly, Cyrus Rashtchian
2023	J	`jnl`	Substance or Style: What Does Your Image Embedding Know? CoRR Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins
2021	—	`conf`	A Simple and Effective Positional Encoding for Transformers. EMNLP (1) Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng
2021	A*	`conf`	Adversarial Robustness Across Representation Spaces. CVPR Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan
2021	J	`jnl`	CARLS: Cross-platform Asynchronous Representation Learning System. CoRR 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
2021	J	`jnl`	Demystifying the Better Performance of Position Encoding Variants for Transformer. CoRR Pu-Chin Chen, Henry Tsai, Srinadh Bhojanapalli, Hyung Won Chung, Yin-Wen Chang, Chun-Sung Ferng
2021	A	`conf`	Neural Structured Learning: Training Neural Networks with Structured Signals. WSDM Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang
2020	J	`jnl`	Adversarial Robustness Across Representation Spaces. CoRR Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan
2020	J	`jnl`	Finding Fast Transformers: One-Shot Neural Architecture Search by Component Composition. CoRR Henry Tsai, Jayden Ooi, Chun-Sung Ferng, Hyung Won Chung, Jason Riesa
2020	A*	`conf`	Neural Structured Learning: Training Neural Networks with Structured Signals. KDD Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu
2015	J	`jnl`	Active Learning Using Hint Information. Neural Comput. Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin
2013	J	`jnl`	Multilabel Classification Using Error-Correcting Codes of Hard or Soft Bits. IEEE Trans. Neural Networks Learn. Syst. Chun-Sung Ferng, Hsuan-Tien Lin
2012	—	`conf`	A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. KDD Cup 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
2012	C	`conf`	Active Learning with Hinted Support Vector Machine. ACML Chun-Liang Li, Chun-Sung Ferng, Hsuan-Tien Lin
2012	—	`conf`	Novel Models and Ensemble Techniques to Discriminate Favorite Items from Unrated Ones for Personalized Music Recommendation. KDD Cup 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
2011	C	`conf`	Multi-label Classification with Error-correcting Codes. ACML Chun-Sung Ferng, Hsuan-Tien Lin
2009	—	`conf`	An Ensemble of Three Classifiers for KDD Cup 2009: Expanded Linear Model, Heterogeneous Boosting, and Selective Naive Bayes. KDD Cup 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
2009	A*	`conf`	Canonical image selection and efficient image graph construction for large-scale flickr photos. ACM Multimedia 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