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2020 – today
- 2022
[j7]Ching-Chi Lin, Cheng-Yu Hsieh, Ta-Yu Mu:
A linear-time algorithm for weighted paired-domination on block graphs. J. Comb. Optim. 44(1): 269-286 (2022)- [j6]Cheng-Yu Hsieh, Jieyu Zhang, Alexander J. Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. Proc. VLDB Endow. 15(13): 4093-4105 (2022) - [c9]Cheng-Yu Hsieh, Rung-Tzuo Liaw:
Summit-assisted Evolutionary Multitasking. CEC 2022: 1-8 - [i7]Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner:
A Survey on Programmatic Weak Supervision. CoRR abs/2202.05433 (2022) - [i6]Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner:
Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming. CoRR abs/2203.01382 (2022) - [i5]Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander Ratner:
Understanding Programmatic Weak Supervision via Source-aware Influence Function. CoRR abs/2205.12879 (2022) - 2021
- [c8]Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. ICLR 2021 - [i4]Cheng-Yu Hsieh, Wei-I Lin, Miao Xu, Gang Niu, Hsuan-Tien Lin, Masashi Sugiyama:
Active Refinement for Multi-Label Learning: A Pseudo-Label Approach. CoRR abs/2109.14676 (2021) - 2020
- [c7]Naai-Jung Shih, Cheng-Yu Hsieh, Yi Chen, Pei-Huang Diao:
Computing Urban Fabric of a Historical Town. CATA 2020: 80-89 - [i3]Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh:
Evaluations and Methods for Explanation through Robustness Analysis. CoRR abs/2006.00442 (2020)
2010 – 2019
- 2019
- [c6]Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar:
On the (In)fidelity and Sensitivity of Explanations. NeurIPS 2019: 10965-10976 - [i2]Chih-Kuan Yeh, Cheng-Yu Hsieh, Arun Sai Suggala, David I. Inouye, Pradeep Ravikumar:
How Sensitive are Sensitivity-Based Explanations? CoRR abs/1901.09392 (2019) - 2018
- [j5]Chih-Kuan Yeh, Cheng-Yu Hsieh
, Hsuan-Tien Lin:
Automatic Bridge Bidding Using Deep Reinforcement Learning. IEEE Trans. Games 10(4): 365-377 (2018) - [c5]Cheng-Yu Hsieh, Yi-An Lin, Hsuan-Tien Lin:
A Deep Model With Local Surrogate Loss for General Cost-Sensitive Multi-Label Learning. AAAI 2018: 3239-3246 - 2016
- [i1]Ching-Chi Lin, Cheng-Yu Hsieh:
A Linear-Time Algorithm for the Weighted Paired-Domination Problem on Block Graphs. CoRR abs/1605.00372 (2016) - 2013
- [j4]Chih-Yi Chiu, Tsung-Han Tsai, Cheng-Yu Hsieh:
Efficient video segment matching for detecting temporal-based video copies. Neurocomputing 105: 70-80 (2013) - [j3]Chih-Yi Chiu, Tsung-Han Tsai, Guei-Wun Han, Cheng-Yu Hsieh, Sheng-Yang Li:
Efficient Video Stream Monitoring for Near-Duplicate Detection and Localization in a Large-Scale Repository. ACM Trans. Inf. Syst. 31(4): 22:1-22:27 (2013) - [c4]Yi-Chia Lee, Chia-Yu Yao, Cheng-Yu Hsieh, Jau-Yi Wu, Yi-Hsuan Hsieh, Chien-Hsiung Chen, Rung-Huei Liang, Ya-Shu Chen:
Egg Pair - A hearing game for the visually impaired people using RFID. ISCE 2013: 3-4 - 2012
- [j2]Chih-Yi Chiu, Sheng-Yang Li, Cheng-Yu Hsieh:
Video Query Reformulation for Near-Duplicate Detection. IEEE Trans. Inf. Forensics Secur. 7(5): 1594-1603 (2012) - [c3]Chih-Yi Chiu, Tsung-Han Tsai, Cheng-Yu Hsieh:
Scalable near-duplicate video stream monitoring. ISPACS 2012: 12-15 - 2011
- [c2]Sok-Ian Sou, Cheng-Yu Hsieh, Fen-Yen Lee, Yu-Fu Lin, Jeu-Yih Jeng, Chien-Wei Cheng:
Design and implementation of dynamic charging plan for IMS-based multicast services. APNOMS 2011: 1-4
2000 – 2009
- 2007
- [j1]Cheng-Yu Hsieh, Wanjiun Liao:
All-optical multicast routing in sparse splitting WDM networks. IEEE J. Sel. Areas Commun. 25(S-6): 51-62 (2007) - 2003
- [c1]Cheng-Yu Hsieh, Wanjiun Liao:
All Optical Multicast Routing in Sparse-Splitting Optical Networks. LCN 2003: 162-167
Coauthor Index
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