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YunYe0121 [FAQ for Potential Students]
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-====== About CLLab ====== +====== About CLLab @ Room 536 ====== 
-CLLab works on machine learning, the study that allows computational systems to adaptively + 
-improve their performance with experience accumulated from the data +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. 
-observed---external examples, feedback of the environment,​ or other pieces of information. +In e-commerce, machines can learn the preference of each individual customer and show targeted advertisements.
-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):​ Fundamental machine learning research is driven by the following three major questions (directions):​
Line 26: Line 10:
  
 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 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 [[public:​multi-label classification]],​ [[public:​ranking]], ​ [[public:​cost-sensitive classification]] and [[public:​active learning]]. We have also been active participants in several [[public:​data mining and machine learning competitions]].+success stories include studies on [[public:​multi-label classification]],​ [[public:​ranking]], ​ [[public:​cost-sensitive classification]] and [[public:​active learning]]. We have also been active participants in several [[public:​data mining and machine learning competitions]] and several [[public:​meteorology studies]].
  
 Feel free to send an email to {{:​public:​htlin.email.png?​150|}} if you are interested in joining the CLLab! Feel free to send an email to {{:​public:​htlin.email.png?​150|}} if you are interested in joining the CLLab!
  
-====== News ====== 
-  * (2014/​12/​23) Congratulations to Hsuan-Tien on offering his second MOOC [[ https://​www.coursera.org/​course/​ntumltwo ]] 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 [[ https://​www.coursera.org/​course/​ntumlone ]] 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. 
 ====== Learners ====== ====== Learners ======
 **Absolute Learner** **Absolute Learner**
  
-  * [[http://​www.csie.ntu.edu.tw/​~htlin|Hsuan-Tien Lin]] (2008.08--) {{public:​htlin.email.png?​140|}}+  * 000. [[http://​www.csie.ntu.edu.tw/​~htlin|Dr. Hsuan-Tien Lin]] (2008.08--) {{public:​htlin.email.png?​140|}}
  
-**Associate ​Learner ​(a.k.a. Ph.D. students) **+**Associate ​Learners ​(a.k.a. Ph.D. students) **
  
-  * Yu-Ying Chou (2018.09--) +  * 056. 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) +  * 041. Si-An Chen (2020.09--; Attentive 2019.06--2020.08;​ Assistant 2016.07--2018.06;​ Active 2014.12--2016.06); M.S. Thesis: Improving Deep Reinforcement Learning with Uncertainty-Based Interaction with Experts (co-advise with Prof. Masashi Sugiyama at University of Tokyo; 2018 TAAI Best Thesis Award; related publications in MLJ: ECML journal track
-  * Po-Yi Lu (2021.01--)+  * 066. Po-Yi Lu (2021.01--) 
 +  * 072. Mai Tan Ha (2021.10--)
  
-**Assistant ​Learner ​(a.k.a. M.S. students) **+**Assistant ​Learners ​(a.k.a. M.S. students) **
  
-  * Yu-Ting Chou (2018.08--; Assistant 2016.06--2018.07) +  * 078Yun-Ye Cai (2022.12--) 
-  * Chia-You Chen (2018.08--; Assistant 2017.03--2018.07) +  * 079Hsuan-Fu Wang (2022.12--)
-  * Chien-Min Yu (2018.08--; Assistant 2017.07--2018.07) +
-  * Wei-Chao Cheng (2019.03--) +
-  * Sheng-Feng Wu (2019.07--) +
-  * Chi-Chang Lee (2019.12--) +
-  * [[https://​pm25.github.io|Pin-Yen Huang]] ​(2019.12--) +
-  * Yu-Chu Yu (2020.04--)+
  
-**Active ​Learner ​(a.k.a. undergraduate students) **+**Active ​Learners ​(a.k.a. undergraduate students) **
  
-  * Wei-Lin (2017.02--) +  * 069. Hsin-Kai Lin (2021.07--) 
-  * Ching-Yuan Pai (2018.08--) +  * 073. Kuo-Ming Huang (2022.02--) 
-  * Chi-Fan Lo (2020.02--) +  * 075. Hsiu-Hsuan Wang (2022.10--) 
-  * Li-Heng Lin (2020.06--)+  * 076. Nai-Xuan Ye (2022.10--) 
 +  * 077. Huai-Yuan Kuo (2022.10--) 
 +  * 080. Yu-Wen Pao (2023.01--) 
 +  * 081. Hung-Chieh Fang (2023.01--) 
 +  * 085. Chia-Wei Chang (2024.02--)
  
-**Attentive ​Learner ​(a.k.a. research assistants) ** +**Attentive ​Learners ​(a.k.a. research assistants) **
- +
-  * Cheng-Yu Hsieh (2018.08--; Assistant 2016.02--2018.07) +
-  * Ashesh (2020.01--) +
- +
-**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) +
- +
-**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) +
-  * [[sasbluesea|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) +
-  * [[http://​www.cs.cmu.edu/​~chunlial|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) +
-  * [[http://​khhuang.net/​|Kuan-Hao Huang]] (Assistant 2014.07--2016.06;​ Active 2012.06--2014.06;​ now a PhD student at UCLA) +
- +
-**Alumni Active Learner** +
-  * Chia-Hsuan Wang (Active 2009.02--2010.06;​ now a PhD student at Johns Hopkins) +
-  * [[wenjoseph|Joseph Wen]] (Active 2009.05--2010.06;​ now in Google after graduating with an MS from Stanford) +
-  * [[shang-tse_chen|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) +
-  * [[chih-wei_chang|Chih-Wei Chang]] (Active 2014.02--2015.06,​ now in Facebook) +
-  * Shao-Chuan Lee (Active 2014.07--2015.07,​ now in Google) +
- +
-**Alumni Attentive Learner** +
-  * Farbound Tai (Attentive 2009.05--2010.07;​ now in Amazon) +
- +
-**Alumni Learner** +
-  * Kuo-Hsuan Lo (Assistant 2014.04--2017.01) +
-  * You-Lin Tsou (2015.02--; Active 2014.02--2015.01) +
-  * Hong-Min Chu (2015.07--; Active 2014.02--2015.06) +
-  * Hsien-Chun Chiu (2015.07--; Active 2014.12--2015.06;​ now in Bridgewell) +
-  * 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);;​ +
-  * Tung-En Wu (Attentive 2014.10--2016.04);;​ +
-  * [[http://​people.csail.mit.edu/​andyyuan/​|Yu-An Chung]] (Active 2013.08--2016.06;​ now a PhD student at MIT);; +
-  * Yu-Jeng Fang (Assistant 2014.02--2016.07;​ now in Bloomberg);;​ +
-  * Chih-Kuan Yeh (Active 2015.04--2016.07;​ now a PhD student at CMU);; +
-  * Chin-Huang Lin (Active 2014.07--2017.06);;​ +
-  * Boyo Chen (Assistant 2016.06--2018.07;​ now in Appier) +
-  * Yu-Shao Peng (Assistant 2016.07--2018.07;​ now in HTC DeepQ);; +
-  * Chun-Yi Tu (Active 2017.07--2019.02;​ now a MS student at UCSD);; +
-  * Jyun-Gu Ye (Associate 2018.02--2019.06);;​  +
-  * I-Ting Chen (Assistant 2017.07--2019.08);;​ +
-  * Kuen-Han Tsai (Assistant 2017.07--2019.10);;​+
  
 +**Alumni Learners**
 +  * 001. [[https://​www.linkedin.com/​in/​han-hsing-tu-46a86b28/​|Han-Hsing Tu]] (Assistant 2008.08--2009.07;​ Attentive 2009.08--2011.02;​ now in Cellopoint);​ M.S. Thesis: Regression Approaches for Multi-class Cost-sensitive Classification (related publications in ICML)
 +  * 002. [[https://​www.linkedin.com/​in/​stevetkjan/​|Dr. Te-Kang Jan]] (Assistant 2008.09--2010.07;​ Attentive 2010.08--2011.04;​ joint RA with Academia Sinica 2011.05--2014.05;​ Ph.D. from Virginia Tech; now in Amazon); M.S. Thesis: A Comparison of Methods for Cost-sensitive Support Vector Machines (related publications in KDD)
 +  * 003. Ken-Yi Lin (Assistant 2008.09--2010.07;​ now in Delta IOT); M.S. Thesis: Data Selection Techniques for Large-scale RankSVM (related publications in TAAI)
 +  * 004. [[https://​sites.google.com/​site/​chiangchaokai/​|Dr. Chao-Kai Chiang]] (Associate 2008.09--2013.12;​ co-advise with Dr. Chi-Jen Lu at IIS Sinica; Ph.D. from NTU; now in University of Tokyo); Ph.D. Thesis: Toward Realistic Online Learning (2014 TAAI Best Thesis Award; related publications in SODA, COLT, ACML)
 +  * 005. [[http://​cbp.brain.riken.jp/​authors/​chia-hsuan-wang/​|Dr. Chia-Hsuan Wang]] (Active 2009.02--2010.06;​ Ph.D. from Johns Hopkins; now in RIKEN Center for Brain Science)
 +  * 006. [[https://​www.linkedin.com/​in/​csferng/​|Chun-Sung Ferng]] (Active 2009.02--2010.06;​ Assistant 2010.07--2012.06;​ now in Google); M.S. Thesis: Multi-label Classification with Hard-/​soft-decoded Error-correcting Codes (related publications in IEEE TNN)
 +  * 007. [[https://​www.linkedin.com/​in/​farbound-tai-20340231/​|Farbound Tai]] (Attentive 2009.05--2010.07;​ now in Facebook)
 +  * 008. [[https://​www.linkedin.com/​in/​joseph-wen-91889120/​|Joseph Wen]] (Active 2009.05--2010.06;​ now in Google)
 +  * 009. [[https://​www.csie.ntu.edu.tw/​~stchen/​|Dr. Shang-Tse Chen]] (Active 2009.05--2010.06;​ joint RA with Academia Sinica 2011.07--2013.06;​ Ph.D. from Georgia Tech; now assistant professor at NTU)  ​
 +  * 010. [[https://​www.linkedin.com/​in/​yao-nan-chen-467796a7/​|Yao-Nan Chen]] (Active 2009.05--2010.06;​ Assistant 2010.07--2012.06;​ now in Appier); M.S. Thesis: Feature-aware Label Space Dimension Reduction for Multi-label Classification Problem (related publications in NeurIPS)
 +  * 011. [[https://​www.linkedin.com/​in/​po-lung-chen-59a07127/​|Po-Lung Chen]] (Active 2009.08--2010.06;​ Assistant 2010.07--2012.06;​ now in Instagram); M.S. Thesis: Active Learning for Multiclass Cost-sensitive Classification Using Probabilistic Models (related publications in TAAI)
 +  * 012. [[https://​www.linkedin.com/​in/​chen-wei-hung-65ab0771/​|Chen-Wei Hung]] (Assistant 2009.09--2011.08;​ now in AlpacaTech);​ M.S. Thesis: Multi-label Active Learning with Auxiliary Learner (related publications in ACML)
 +  * 013. Yu-Xun Ruan (Assistant 2009.09--2011.08;​ now in Vivotek); M.S. Thesis: Studies on Ordinal Ranking with Regression (related publications in Information Retrieval)
 +  * 014. Dr. Yi-Hung Huang (Associate 2009.10--2015.12;​ Ph.D. from NTU; co-advise with Dr. Chun-Nan Hsu at IIS Sinica); Ph.D. Thesis: A Study of Data Citation (related publications in ICDM, TAAI, PloS one)
 +  * 015. [[https://​www.linkedin.com/​in/​yu-cheng-ian-chou-98b3b795/​|Yu-Cheng Chou]] (Active 2010.03--2011.06;​ Assistant 2011.07--2013.07;​ now in Google); M.S. Thesis: Machine Learning Approaches for Interactive Verification (related publications in PAKDD)
 +  * 016. [[https://​www.linkedin.com/​in/​erickcchou/​|Ku-Chun Chou]] (Assistant 2010.05--2013.07;​ now in Kabam); M.S. Thesis: Pseudo-reward Algorithms for Linear Contextual Bandit Problems (related publications in ACML)
 +  * 017. [[https://​www.linkedin.com/​in/​kuan-sung-huang-35901835/​|Kuan-Sung Huang]] (Active 2010.05--2011.06;​ joint RA with Academia Sinica 2013.07--2015.06;​ now in Facebook)
 +  * 018. Wei-Yuan Shen (Active 2010.05--2011.06;​ Assistant 2011.07--2013.07;​ now in Microsoft); M.S. Thesis: Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking (2013 TAAI Best Thesis Award; related publications in ACML)
 +  * 019. [[https://​www.linkedin.com/​in/​chang-ya-hsuan-0a5031109/​|Ya-Hsuan Chang]] (Active 2010.06--2011.06;​ Assistant 2011.07--2013.07;​ now in Bridgewell);​ M.S. Thesis: Study on Contextual Bandit Problem with Multiple Actions (related publications in TAAI)
 +  * 020. [[https://​www.linkedin.com/​in/​chun-yen-ho-99658b6a/​|Chun-Yen Ho]] (Active 2010.07--2012.06;​ Assistant 2012.07--2014.06;​ now in Google); M.S. Thesis: Contract Bridge Bidding by Learning (related publications in Workshop on Computer Poker and Imperfect Information @ AAAI)
 +  * 021. [[http://​www.cs.cmu.edu/​~chunlial|Dr. Chun-Liang Li]] (Active 2011.01--2012.06;​ Assistant 2012.07--2013.07;​ joint RA with Academia Sinica 2013.08--2014.07;​ Ph.D. from CMU; now in Google); M.S. Thesis: Condensed Filter Tree For Cost Sensitive Multi-Label Classification (2013 TAAI Best Thesis Award; related publications in ICML)
 +  * 022. Yi-Wen Huang (Active 2011.06--2012.06;​ Assistant 2012.07--2012.09)
 +  * 023. Han-Jay Yang (Active 2012.02--2012.06;​ Assistant 2012.07--2014.06;​ now in Google); M.S. Thesis: A Practical Divide-and-Conquer Approach for Preference-Based Learning to Rank (related publications as Best Paper Award of TAAI 2015)
 +  * 024. [[http://​khhuang.net/​|Kuan-Hao Huang]] (Active 2012.06--2014.06;​ Assistant 2014.07--2016.06;​ now a PhD student at UCLA); M.S. Thesis: Cost-sensitive Label Embedding for Multi-label Classification (2016 TAAI Thesis Award Honorable Mention; related publications in MLJ: ECML journal track, ICDM)
 +  * 025. [[https://​www.linkedin.com/​in/​ian-lin-266a9588/​|Yi-An Lin]] (Active 2013.02--2014.01;​ Assistant 2014.02--2016.01;​ now in Microsoft); M.S. Thesis: Cyclic Classifier Chain for Multilabel Classification (related publications in DSAA)
 +  * 026. [[https://​www.linkedin.com/​in/​sheng-chi-you-17522968/​|Sheng-Chi You]] (Assistant 2013.07--2015.06;​ now in Synopsys); M.S. Thesis: Dynamic Unlearning for Online learning on Concept-drifting Data (related publications in PAKDD)  ​
 +  * 027. Meng-Huan Yu (Active 2013.08--2014.12;​ now in Google)
 +  * 028. [[http://​yyyang.me/​|Dr. Yao-Yuan Yang]] (Active 2013.08--2016.06;​ Ph.D. from UCSD; now in DeepMind)
 +  * 029. [[https://​www.linkedin.com/​in/​yu-ping-wu-5357a513b/​|Yu-Ping Wu]] (Active 2013.08--2014.01;​ Assistant 2014.02--2016.01;​ now in Google); M.S. Thesis: Progressive Random k-Labelsets for Cost-Sensitive Multi-Label Classification (related publications in MLJ: ACML journal track)
 +  * 030. [[https://​iamyuanchung.github.io/​|Dr. Yu-An Chung]] (Active 2013.08--2016.06;​ Ph.D. from MIT; now in Meta Research)
 +  * 031. [[https://​ai.facebook.com/​people/​wei-ning-hsu/​|Dr. Wei-Ning Hsu]] (Active 2013.08--2014.06;​ Ph.D. from MIT; now in Meta Research)  ​
 +  * 032. Hsuan-Li Ren (Active 2013.08--2014.01)
 +  * 033. [[https://​www.linkedin.com/​in/​bertchang/​|Chih-Wei Chang]] (Active 2014.02--2015.06;​ now in Facebook)
 +  * 034. [[https://​www.linkedin.com/​in/​hong-min-chu-64595a94/​|Hong-Min Chu]] (Active 2014.02--2015.06;​ Assistant 2015.07--2017.07;​ now a PhD student at UMD); M.S. Thesis: Dynamic Principal Projection for Cost-sensitive Online Multi-label Classification (related publication in MLJ: ECML journal track)
 +  * 035. [[https://​www.linkedin.com/​in/​yujhengfang/​|Yu-Jeng Fang]] (Active 2014.02--2016.07;​ now in Bloomberg)
 +  * 036. [[https://​www.linkedin.com/​in/​yu-lin-tsou-85b5b7138/​|Yu-Lin Tsou]] (Active 2014.02--2015.01;​ Assistant 2015.02--2017.07;​ now in Microsoft); M.S. Thesis: Annotation Cost-sensitive Active Learning by Tree Sampling (2017 TAAI Thesis Award Honorable Mention; related publications in MLJ: ACML journal track)
 +  * 037. Kuo-Hsuan Lo (Assistant 2014.04--2017.01;​ now in mcFallout); M.S. Thesis: Cost-sensitive Encoding for Label Space Dimension Reduction Algorithms on Multi-label Classification (2017 TAAI Thesis Award Honorable Mention; related publications in TAAI)
 +  * 038. [[https://​www.linkedin.com/​in/​shao-chuan-lee-b6b87b85/​|Shao-Chuan Lee]] (Active in Open Source Track 2014.07--2015.07,​ now in Google)
 +  * 039. Chin-Huang Lin (Active 2014.07--2017.06)  ​
 +  * 040. [[https://​www.linkedin.com/​in/​tungen-wu-6116672a/​|Tung-En Wu]] (Attentive 2014.10--2016.04)
 +  * 042. [[https://​chihkuanyeh.github.io/​|Dr. Chih-Kuan Yeh]] (Active 2015.04--2016.07;​ Ph.D. from CMU; now in Google)
 +  * 043. [[https://​www.linkedin.com/​in/​hsien-chun-chiu/​|Hsien-Chun Chiu]] (Assistant 2015.07--2017.10;​ Active 2014.12--2015.06;​ now in Google); M.S. Thesis: Multi-label Classification with Feature-aware Cost-sensitive Label Embedding (related publications in TAAI)
 +  * 044. Cheng-Yu Hsieh (Assistant 2016.02--2018.07;​ Attentive 2018.08--2019.09;​ now a Ph.D. student at UWashington);​ M.S. Thesis: A Deep Model with Local Surrogate Loss for General Cost-sensitive Multi-label Learning (related publications in AAAI)
 +  * 045. [[https://​www.linkedin.com/​in/​yu-shao-peng-936b12140/​|Yu-Shao Peng]] (Assistant 2016.07--2018.07;​ now in HTC DeepQ); M.S. Thesis: Exploring Sparse Features in Deep Reinforcement Learning towards Fast Disease Diagnosis (2018 TAAI Thesis Award Honorable Mention; related publications in NeurIPS)
 +  * 046. [[https://​www.linkedin.com/​in/​boyo-chen-b09b66151/​|Boyo Chen]] (Assistant 2016.07--2018.07;​ now in UTokyo); M.S. Thesis: Tropical Cyclone Intensity Estimation With Specialized Convolutional Neural Network (related publications in KDD, Weather and Forecasting)
 +  * 047. [[https://​www.linkedin.com/​in/​yu-ting-chou-8b4797116/​|Yu-Ting Chou]] (Active 2016.07--2018.07;​ Assistant 2018.08--2020.08;​ now in Kronos); M.S. Thesis: A New Surrogate Loss Framework for Complementary Learning (co-advise with Prof. Masashi Sugiyama at University of Tokyo; 2020 TAAI Best Thesis Award; related publications in ICML)
 +  * 048. [[https://​www.linkedin.com/​in/​chia-you-chen-282396102/​|Chia-You Chen]] (Active 2017.03--2018.07;​ Assistant 2018.08--2020.08;​ now in Google); M.S. Thesis: Improving Meta-Learning by Regularized Pre-training (related publications in Workshop on Meta-Learning @ NeurIPS)
 +  * 049. [[https://​www.linkedin.com/​in/​i-ting-chen-72b7b511a/​|I-Ting Chen]] (Assistant 2017.07--2019.08;​ now in HTC DeepQ); M.S. Thesis: Improving Unsupervised Domain Adaptation with Representative Selection Techniques (related publications in Workshop on Interactive Adaptive Learning @ ECML/PKDD)
 +  * 050. [[https://​www.linkedin.com/​in/​kuen-han-tsai-b42545198/​|Kuen-Han Tsai]] (Assistant 2017.07--2019.10;​ now in Google); M.S. Thesis: Learning from Label Proportions with Consistency Regularization (related publications in ACML)
 +  * 051. [[https://​www.linkedin.com/​in/​chien-min-yu-19175920a/​|Chien-Min Yu]] (Active 2017.07--2018.07;​ Assistant 2018.08--2020.08;​ now in Cubist); M.S. Thesis: Learning Key Steps to Attack Deep Reinforcement Learning Agents (related publications submitted)
 +  * 052. [[https://​www.chun-yi.me/​|Chun-Yi Tu]] (Active 2017.07--2019.02;​ now in Verizon)  ​
 +  * 053. Jyun-Gu Ye (Associate 2018.02--2019.06)
 +  * 054. Wei-I Lin (Assistant 2021.08--2023.06;​ Active 2018.02--2021.07;​ now in Appier) M.S. Thesis: Reduction from Complementary-Label Learning to Probability Estimates (related publications in PAKDD)
 +  * 055. [[https://​www.linkedin.com/​in/​andrew-bai-a455b815b/​|Ching-Yuan Bai]] (Active 2018.08--2021.08,​ now a PhD student at UCLA)
 +  * 057. Wei-Chao Cheng (Assistant 2019.03--2021.07,​ now in Synopsys); M.S. Thesis: From SMOTE to Mixup for Deep Imbalanced Classification (related publications in TAAI)
 +  * 058. [[https://​www.linkedin.com/​in/​sheng-feng-wu-1b77a91b0/​|Sheng-Feng Wu]] (Assistant 2019.07--2021.12;​ now in Qualcomm); M.S. Thesis: Improving Clustering Uncertainty-weighted Embeddings for Active Domain Adaptation (related publications in TAAI)  ​
 +  * 059. [[https://​forest-snow.github.io/​|Dr. Michelle Yuan]] (Attentive 2019.09--2020.10;​ visited from UMD; now in Amazon)
 +  * 060. Chi-Chang Lee (Assistant 2019.12--2021.02)
 +  * 061. [[https://​pm25.github.io|Pin-Yen Huang]] (Assistant 2019.12--2022.09)
 +  * 062. [[https://​ashesh-0.github.io/​|Ashesh]] (Attentive 2020.01--2021.06;​ now a Ph.D. student at MPI)
 +  * 063. [[https://​robertlo.tech/​|Chi-Fan Lo]] (Active 2020.02--2022.06;​ now a MSCS student at CMU)
 +  * 064. [[https://​www.linkedin.com/​in/​li-heng-lin-930b2b1b8/​|Li-Heng Lin]] (Active 2020.06--2022.06;​ now a MS student at Stanford)
 +  * 065. Yu-Chu Yu (Assistant 2020.04--2023.01;​ now in Dcard); M.S. Thesis: Semi-Supervised Domain Adaptation with Source Label Adaptation (related publications in CVPR; 2023 TAAI Best Thesis Award)  ​
 +  * 067. Yu-Hsin Chou (Assistant 2021.07--2022.08;​ now in Heptabase)
 +  * 068. Oscar Chew (Assistant 2021.07--2023.06;​ now in ASUS); M.S. Thesis: Understanding and Mitigating Spurious Correlations in Text Classification (related publications in EACL)
 +  * 070. Ming-Hsin Chen (Active 2021.07--2023.09;​ now in Google) ​
 +  * 071. Feng-Yi Wang (Active 2021.09--2022.09)
 +  * 074. Cheng-Ying Chang (Active 2022.02--2024.01)
 +  * 082. Abdullah Yusuf Kavranoğlu (Attentive 2023.05--2023.06;​ visited from Caltech)
 +  * 083. [[https://​vonguyenleduy.github.io/​|Dr. Vo Nguyen Le Duy]] (Attentive 2023.06--2023.06;​ visited from RIKEN)
 +  * 084. Odo To (Active 2023.08--2024.01)
  
 **Affiliate Learner** **Affiliate Learner**
  
-  * [[http://​www.cs.nccu.edu.tw/​~mftsai/​|Ming-Feng Tsai ]] (2008.09--2009.08 from NTU CSIE Natural Language Processing Laboratory; now an Associate Professor at National Cheng-Chi University) ​+  * [[http://​www.cs.nccu.edu.tw/​~mftsai/​|Dr. 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)   * Yu-Chiao Huang (Cloud Computing Program, 2011.03--2011.06)
   * Che-Chun Lee (Cloud Computing Program, 2010.09--2011.06)   * Che-Chun Lee (Cloud Computing Program, 2010.09--2011.06)
Line 152: Line 125:
   * Chi-Hsien Yen (Cloud Computing Program, 2012.09--2013.01)   * Chi-Hsien Yen (Cloud Computing Program, 2012.09--2013.01)
  
- 
-====== Tutorials ====== 
-  * [[tutorials:​ tools]] 
 ====== Research Outcomes ====== ====== Research Outcomes ======
   * [[public:​papers]]   * [[public:​papers]]
   * [[public:​experimental codes]]   * [[public:​experimental codes]]
 +
 +====== FAQ for Potential Students ======
 +  * [[public:​YouTube recording link.]]
 +  * [[https://​www.csie.ntu.edu.tw/​~htlin/​talk/​doc/​cllab.ntu15.handout.pdf|RIGHT-O:​ Core Principles of CLLab]]
 +  * [[https://​www.csie.ntu.edu.tw/​~htlin/​talk/​doc/​lfbd.datasci15.handout.pdf|Learning for Big Data]]
 +
 +====== Tutorials (Member Only) ======
 +  * [[Server_guidelines.]]
  
 ====== Research (Member Only) ====== ====== Research (Member Only) ======
Line 183: Line 161:
 ====== Competitions ​ (Member Only) ====== ====== Competitions ​ (Member Only) ======
   * [[competitions:​kddcup2015:​home|KDD Cup 2015]]   * [[competitions:​kddcup2015:​home|KDD Cup 2015]]
-====== ​Earlier ​News ====== +====== News ====== 
-  * (2012/​09/​20) Congratulations to Chun-Liang, Chun-Sung and Hsuan-Tien for getting a ACML 2012 paper accepted. + 
-  * (2012/​09/​07) Congratulations to Yao-Nan and Hsuan-Tien for getting a NIPS 2012 paper accepted. +[[Archived News]]
-  * (2012/​08/​12) Congratulations to Chun-Sung, Wei-Yuan, Han-Jay, Chun-Yen and Hsuan-Tien for being part of the team that wins track-2 champion of KDDCup 2012. +
-  * (2012/​08/​xx) Congratulations to Hsuan-Tien on being a newbie dad. +
-  * (2012/​06/​30) Congratulations to Ku-Chun and Hsuan-Tien for winning the champion of the phase 1 in ICML Exploration and Exploitation Challenge 2012. +
-  * (2012/​06/​25) Congratulations to Chun-Sung, Yao-Nan and Polone for passing the MS oral exam. +
-  * (2012/​05/​04) Congratulations to Te-Kang and Hsuan-Tien for getting a KDD 2012 paper accepted. +
-  * (2012/​05/​01) Congratulations to Shang-Tse and Hsuan-Tien for getting an ICML 2012 paper accepted. +
-  * (2012/​04/​30) Congratulations to Chao-Kai for getting a COLT 2012 paper accepted, **with best student paper award**. +
-  * (2012/​04/​01) Congratulations to Hsuan-Tien for getting his book [[http://​amlbook.com|Learning from Data]] published. +
-  * (2012/​03/​16) Congratulations to Hsuan-Tien for getting the K.-T. Li Young Researcher Award. +
-  * (2012/​02/​29) Congratulations to Hsuan-Tien for getting an IEEE Transactions on Multimedia paper accepted. +
-  * (2012/​02/​14) Congratulations to Farbound and Hsuan-Tien for getting a Neural Computation paper accepted. +
-  * (2011/​10/​30) Congratulations to Hsuan-Tien for getting a Neural Computation paper accepted. +
-  * (2011/​09/​28) Congratulations to Hsuan-Tien for getting the NTU Distinguished Teaching Award +
-  * (2011/​09/​09) Congratulations to Chun-Sung and Hsuan-Tien for getting a ACML 2011 paper accepted. +
-  * (2011/​09/​09) Congratulations to Chen-Wei and Hsuan-Tien for getting a ACML 2011 paper accepted. +
-  * (2011/​09/​01) Congratulations to Te-Kang and Hsuan-Tien for getting a BIBM 2011 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/​06/​20) Congratulations to Chun-Yen and Chun-Liang for getting their undergraduate research proposals approved by the NSC. +
-  * (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 and Hsuan-Tien for getting an ICML 2010 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 [[https://​cm.baylor.edu/​ICPCWiki/​Wiki.jsp?​page=2010Liveblog|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 [[http://​soda10.cs.princeton.edu/​SODA10-accepted.html|SODA 2010 paper]] accepted. +
-  * (2009/​07/​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 [[http://​www.kddcup-orange.com/​winners.php|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.+
  
start.1616257338.txt.gz · Last modified: 2021/03/20 16:22 by pm