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 develop state-of-the-art tools for various learning tasks based on sound theoretical principles. Some of our ongoing success stories include studies on multi-label classification, ranking and cost-sensitive classification. We are also active participants in recent data mining and machine learning competitions.
Feel free to send an email to 
if you are interested in joining the CLLab!
News
- (2011/09/01) Congratulations to Te-Kang for getting a BIBM paper accepted.
- (2011/08/20) Congratulations to Ku-Chun, Polone, Chun-Sung, Yao-Nan, Ya-Hsuan, Yu-Cheng, Chun-Liang and Hsuan-Tien for being part of the team that wins track-1 and track-2 champions of KDDCup 2011.
- (2011/08/01) Best wishes to Shang-Tse and Kuan-Sung for their Academia Sinica RAship.
- (2011/07/13) Congratulations to Yu-Xun and Chen-Wei for passing the MS oral exam.
- (2011/04/01) Best wishes to Te-Kang for his Academia Sinica RAship.
- (2011/02/08) Best wishes to Han-Hsing for his new job in Cellopoint.
- (2010/11/27) Best wishes to Ken-Yi for his new job in Delta AMI.
- (2010/08/03) Best wishes to Farbound for his Columbia life; to Chia-Hsuan for her Yang-Ming RAship; to Shang-Tse for his Taiwan Army trip.
- (2010/08/02) Congratulations to Ken-Yi and Te-Kang for passing the MS oral exam.
- (2010/06/22) Congratulations to Yu-Xun, Chen-Wei, Yi-Hung and Hsuan-Tien for being part of the team that wins the all-team and student-team champions of KDDCup 2010.
- (2010/04/17) Congratulations to Hanhsing for getting an ICML paper accepted.
- (2010/04/03) Congratulations to Chun-Wei, Ken-Yi and Te-Kang for getting the excellent TA award (of the course Machine Learning 2009 Fall) from NTU CSIE.
- (2010/02/06) Congratulations to Chun-Sung and Polone for getting the third place at the world final of ACM ICPC this year.
- (2009/11/21) Congratulations to Hsuan-Tien for getting married.
- (2009/09/20) Congratulations to Hsuan-Tien for getting formally engaged.
- (2009/09/05) Congratulations to Chao-Kai for getting a SODA paper accepted.
- (2009/7/22) Congratulations to Han-Hsing for passing the MS oral exam.
- (2009/06/29) Congratulations to Ken-Yi, Chun-Sung, Chia-Hsuan, Shang-Tse and Hsuan-Tien for being part of the team that wins the third place in the slow track of KDDCup 2009.
- (2009/06/23) Congratulations to Chun-Sung, Chia-Hsuan and Shang-Tse for getting their undergraduate research proposals approved by the NSC.
- (2009/06/19) Congratulations to Hsuan-Tien for getting the outstanding teacher award, given by the students of the course Machine Learning 2008 Fall.
- (2009/06/17) Congratulations to Ming-Feng and Han-Hsing for getting the excellent TA award (of the course Machine Learning 2008 Fall) from NTU CSIE.
- (2009/06/05) Congratulations to Han-Hsing for finishing the lab's first student-written paper towards a conference.
Learners
Absolute Learner
Hsuan-Tien Lin (2008.08–)
Associate Learner (a.k.a. Ph.D. students)
Chao-Kai Chiang (2008.09–; co-advise with Dr. Chi-Jen Lu at IIS Sinica), Yi-Hung Huang (2009.10–; co-advise with Dr. Chun-Nan Hsu at IIS Sinica)
Assistant Learner (a.k.a. M.S. students)
Ku-Chun Chou (2010.05–), Chun-Sung Ferng (2010.07–; Active 2009.02–2010.06), Yao-Nan Chen (2010.07–; Active 2009.05–2010.06), Polone Chen (2010.07–; Active 2009.08–2010.06), Yu-Cheng Chou (2011.07–; Active 2010.03–2011.06), Wei-Yuan Shen (2011.07–; Active 2010.05–2011.06), Ya-Hsuan Chang (2011.07–; Active 2010.06–2011.06), Yu-Chiao Huang (Cloud Computing Program, 2011.03–),
Active Learner (a.k.a. undergraduate students)
Chun-Yen Ho (2010.07–), Chun-Liang Li (2011.01–), Yi-Wen Huang (2011.06–), Che-Chun Lee (Cloud Computing Program, 2010.09–)
Attentive Learner (a.k.a. research assistants)
Alumni 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 AMI), Chia-Hsuan Wang (Active 2009.02–2010.06; now a PhD student at Johns Hopkins), Joseph Wen (Active 2009.05–2010.06; now an MS student at Stanford), Shang-Tse Chen (Active 2009.05–2010.06; now an RA at Academia Sinica), Farbound Tai (Attentive 2009.05–2010.07; now a MS student at Columbia University), Te-Kang Jan (Attentive 2010.08–2011.04; Assistant 2008.09–2010.07; now an RA at Academia Sinica), Chen-Wei Hung (Assistant 2009.09–2011.08), Yu-Xun Ruan (Assistant 2009.09–2011.08), Kuan-Sung Huang (Active 2010.05–2011.06; now an RA at Academia Sinica),
Affiliate Learner
Ming-Feng Tsai (2008.09–2009.08 from NTU CSIE Natural Language Processing Laboratory)
