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About CLLab

CLLab works on machine learning, the study that allows computational systems to adaptively improve their performance with experience accumulated from the data observed—external examples, feedback of the environment, or other pieces of information. The importance of machine learning is rapidly and continuously growing with collaboration opportunities on a broad spectrum of applications inside and outside of computer science. In multimedia, machines can learn to construct semantic structures of digital contents to help users in their search for the desired scene. In architecture, machines can learn to effectually manage computing resources, such as the laptop battery, based on the working pattern of the owner. In bioinformatics, machines can learn to identify cancer genes and suggest promising medicines. In e-commerce, machines can learn the preference of each individual customer and show targeted advertisements.

Fundamental machine learning research is driven by the following three major questions (directions):

  • How broadly can machines learn? (application)
  • How efficiently can machines learn? (algorithm)
  • How precisely can machines learn? (theory)

Research in CLLab usually starts from one of the directions above and then extends freely to other interconnected directions. Our goal is to advance machine learning by developing state-of-the-art tools for various learning tasks based on theoretical principles and/or domain knowledge. Some of our past success stories include studies on multi-label classification, ranking, cost-sensitive classification and active learning. We have also been active participants in several data mining and machine learning competitions and several meteorology studies.

Feel free to send an email to if you are interested in joining the CLLab!


  • (2014/12/23) Congratulations to Hsuan-Tien on offering his second MOOC on Machine Learning Techniques.
  • (2014/12/14) Congratulations to Chun-Yen and Hsuan-Tien for getting an AAAI 2015 Workshop on Computer Poker and Imperfect Information paper accepted.
  • (2014/12/09) Congratulations to Wei-Ning and Hsuan-Tien for getting an AAAI 2015 paper accepted.
  • (2014/10/07) Congratulations to Ku-Chun, Chao-Kai and Hsuan-Tien for getting two ACML 2014 papers accepted.
  • (2014/08/xx) Congratulations to Hsuan-Tien on being a proud dad of two kids.
  • (2014/07/04) Congratulations to Chun-Yen and Han-Jay for passing the MS oral exam.
  • (2014/06/20) Congratulations to Yao-Yuan for getting his undergraduate research proposals approved by the NSC.
  • (2013/12/21) Congratulations to Yu-Cheng and Hsuan-Tien for getting an PAKDD 2014 paper accepted.
  • (2013/12/12) Congratulations to Shang-Tse, Chun-Liang and Hsuan-Tien for getting two ICML 2014 papers accepted.
  • (2013/12/10) Congratulations to Chao-Kai for passing the Ph.D. oral exam.
  • (2013/11/26) Congratulations to Hsuan-Tien on offering his first MOOC on Machine Learning Foundations.
  • (2013/08/11) Congratulations to Kuan-Hao, Chun-Liang and Hsuan-Tien for being part of the team that wins track-1 and track-2 champions of KDDCup 2013.
  • (2013/08/09) Congratulations to Hsuan-Tien for getting the T.-Y. Wu Memorial Award from National Science Council of Taiwan.
  • (2013/07/13) Congratulations to Hsuan-Tien on getting the NTU Outstanding Mentoring Award.
  • (2013/07/09) Congratulations to Ya-Hsuan, Yu-Cheng, Wei-Yuan, Chun-Liang and Ku-Chun for passing the MS oral exam.
  • (2013/07/04) Congratulations to Han-Jay for getting the fourth place at the world final of ACM ICPC this year.
  • (2013/06/20) Congratulations to Kuan-Hao for getting his undergraduate research proposals approved by the NSC.
  • (2013/06/16) Congratulations to Chun-Sung and Hsuan-Tien for getting a IEEE Transactions on Neural Networks and Learning Systems paper accepted.
  • (2013/04/30) Congratulations to Chao-Kai for getting a COLT 2013 paper accepted.
  • (2013/01/16) Congratulations to Yu-Xun, Ming-Feng and Hsuan-Tien for getting a Information Retrieval paper accepted.


Absolute Learner

Associate Learner (a.k.a. Ph.D. students)

  • Yu-Ying Chou (2018.09–; co-advise with Dr. Tyng-Luh Liu at IIS Sinica)
  • Si-An Chen (2020.09–; Attentive 2019.06–2020.08; Assistant 2016.07–2018.06; Active 2014.12–2016.06)
  • Po-Yi Lu (2021.01–)
  • Mai Tan Ha (2021.10–)

Assistant Learner (a.k.a. M.S. students)

  • Yu-Chu Yu (2020.04–)
  • Oscar Chew Kuan (2021.07–)
  • Yu-Hsin Chou (2021.07–)
  • Wei-I Lin (2021.08–; Active 2018.02–2021.07)

Active Learner (a.k.a. undergraduate students)

  • Hsin-Kai Lin (2021.07–)
  • Ming-Hsin Chen (2021.07–)
  • Feng-Yi Wang (2021.09–)
  • Kuo-Ming Huang (2022.02–)

Attentive Learner (a.k.a. research assistants)

Alumni Associate Learner

  • Dr. Chao-Kai Chiang (Associate 2008.09–2013.12; co-advise with Dr. Chi-Jen Lu at IIS Sinica; now in Appier)
  • Dr. Yi-Hung Huang (Associate 2009.10–2015.12; co-advise with Dr. Chun-Nan Hsu at IIS Sinica)
  • Jyun-Gu Ye (Associate 2018.02–2019.06)

Alumni Assistant Learner

  • Han-Hsing Tu (Assistant 2008.08–2009.07; Attentive 2009.08–2011.02; now in Cellopoint)
  • KenYi Lin (Assistant 2008.09–2010.07; now in Delta IOT)
  • Te-Kang Jan (Attentive 2010.08–2011.04; Assistant 2008.09–2010.07; joint RA with Academia Sinica 2011.05–2014.05; now a PhD student at VT)
  • Chen-Wei Hung (Assistant 2009.09–2011.08; now in Ebisol Japan)
  • Yu-Xun Ruan (Assistant 2009.09–2011.08; now in Vivotek)
  • Chun-Sung Ferng (Assistant 2010.07–2012.06; Active 2009.02–2010.06; now in Google)
  • Yao-Nan Chen (Assistant 2010.07–2012.06; Active 2009.05–2010.06; now in Appier)
  • Polone Chen (Assistant 2010.07–2012.06; Active 2009.08–2010.06; now in Facebook)
  • Yi-Wen Huang (Assistant 2012.07–2012.09; Active 2011.06–2012.06)
  • Ku-Chun Chou (Assistant 2010.05–2013.07; now in Kabam)
  • Ya-Hsuan Chang (Assistant 2011.07–2013.07; Active 2010.06–2011.06; now in Bridgewell)
  • Yu-Cheng Chou (Assistant 2011.07–2013.07; Active 2010.03–2011.06; now in Google)
  • Wei-Yuan Shen (Assistant 2011.07–2013.07; Active 2010.05–2011.06; now in Appier)
  • Chun-Liang Li (Assistant 2012.07–2013.07; Active 2011.01–2012.06; joint RA with Academia Sinica 2013.08–2014.07; now a PhD student at CMU)
  • Chun-Yen Ho (Assistant 2012.07–2014.06; Active 2010.07–2012.06; now in Yahoo! Taiwan)
  • Han-Jay Yang (Assistant 2012.07–2014.06; Active 2012.02–2012.06; now in Google)
  • Sheng-Chi You (Assistant 2013.07–2015.06; now in Synopsys)
  • Kuan-Hao Huang (Assistant 2014.07–2016.06; Active 2012.06–2014.06; now a PhD student at UCLA)
  • Yao-Yuan Yang (Assistant 2013.08–2016.06; now a PhD student at UCSD)
  • Yi-An Lin (Assistant 2014.02–2016.01; Active 2013.02–2014.01; now in Taiwan AI Lab)
  • Yu-Ping Wu (Assistant 2014.02–2016.01; Active 2013.08–2014.01; now in Bridgewell)
  • Yu-Jeng Fang (Assistant 2014.02–2016.07; now in Bloomberg)
  • Kuo-Hsuan Lo (Assistant 2014.04–2017.01)
  • Boyo Chen (Assistant 2016.06–2018.07; now in Appier)
  • Yu-Shao Peng (Assistant 2016.07–2018.07; now in HTC DeepQ)
  • I-Ting Chen (Assistant 2017.07–2019.08)
  • Kuen-Han Tsai (Assistant 2017.07–2019.10; now in Appier)
  • You-Lin Tsou (Assistant 2015.02–; Active 2014.02–2015.01)
  • Hong-Min Chu (Assistant 2015.07–; Active 2014.02–2015.06)
  • Hsien-Chun Chiu (Assistant 2015.07–; Active 2014.12–2015.06; now in Bridgewell)
  • Yu-Ting Chou (Assistant 2018.08–2020.08; Active 2016.06–2018.07; now in Kronos)
  • Chia-You Chen (Assistant 2018.08–2020.08; Active 2017.03–2018.07; now in Google)
  • Chien-Min Yu (Assistant 2018.08–2020.08; Active 2017.07–2018.07)
  • Chi-Chang Lee (Assistant 2019.12–)
  • Wei-Chao Cheng (Assistant 2019.03–2021.07)
  • Sheng-Feng Wu (Assistant 2019.07–2021.12)
  • Pin-Yen Huang (2019.12–)

Alumni Active Learner

  • Chia-Hsuan Wang (Active 2009.02–2010.06; now a PhD student at Johns Hopkins)
  • Joseph Wen (Active 2009.05–2010.06; now in Google after graduating with an MS from Stanford)
  • Shang-Tse Chen (Active 2009.05–2010.06; joint RA with Academia Sinica 2011.07–2013.06; now a PhD student at Georgia Institute of Technology)
  • Kuan-Sung Huang (Active 2010.05–2011.06; joint RA with Academia Sinica 2013.07–2015.06; now a Ph.D. student at UCSC)
  • Hsuan-Li Ren (Active 2013.08–2014.01)
  • Wei-Ning Hsu (Active 2013.08–2014.06; now a PhD student at MIT)
  • Meng-Huan Yu (Active 2013.08–2014.12)
  • Yu-An Chung (Active 2013.08–2016.06; now a PhD student at MIT)
  • Chih-Wei Chang (Active 2014.02–2015.06, now in Facebook)
  • Shao-Chuan Lee (Active 2014.07–2015.07, now in Google)
  • Chih-Kuan Yeh (Active 2015.04–2016.07; now a PhD student at CMU)
  • Chin-Huang Lin (Active 2014.07–2017.06)
  • Chun-Yi Tu (Active 2017.07–2019.02; now in Verizon)
  • Ching-Yuan Bai (Active 2018.08–2021.09, now a PhD student at UCLA)
  • Chi-Fan Lo (2020.02–2022.06; now a MSCS student at CMU)
  • Li-Heng Lin (2020.06–2022.06; now a MS student at Stanford)

Alumni Attentive Learner

  • Farbound Tai (Attentive 2009.05–2010.07; now in Amazon)
  • Tung-En Wu (Attentive 2014.10–2016.04)
  • Ashesh (2020.01–2021.06)
  • Cheng-Yu Hsieh (2018.08–; Assistant 2016.02–2018.07)

Affiliate Learner

  • Ming-Feng Tsai (2008.09–2009.08 from NTU CSIE Natural Language Processing Laboratory; now an Associate Professor at National Cheng-Chi University)
  • Yu-Chiao Huang (Cloud Computing Program, 2011.03–2011.06)
  • Che-Chun Lee (Cloud Computing Program, 2010.09–2011.06)
  • Yan-Shan Lin (Cloud Computing Program, 2012.09–2013.01)
  • Chi-Hsien Yen (Cloud Computing Program, 2012.09–2013.01)


Research Outcomes

Research (Member Only)

Lab Life (Member Only)

Competitions (Member Only)


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