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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 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. | 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. | In e-commerce, machines can learn the preference of each individual customer and show targeted advertisements. | ||
| Line 13: | Line 14: | ||
| 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--) |
| - | * Mai Tấn Hà (2021.10--) | + | * 072. Mai Tan Ha (2021.10--) |
| - | **Assistant Learner (a.k.a. M.S. students) ** | + | **Assistant Learners (a.k.a. M.S. students) ** |
| - | * Wei-Chao Cheng (2019.03--) | + | * 078. Yun-Ye Cai (2022.12--) |
| - | * Sheng-Feng Wu (2019.07--) | + | * 079. Hsuan-Fu Wang (2022.12--) |
| - | * [[https://pm25.github.io|Pin-Yen Huang]] (2019.12--) | + | * 086. Chieh-Ying Hsieh (2024.04--) |
| - | * Yu-Chu Yu (2020.04--) | + | |
| - | * Oscar Chew Kuan (2021.06--) | + | |
| - | * Yu-Hsin Chou (2021.07--) | + | |
| - | * Wei-I Lin (2021.08--; Active 2018.02--2021.07) | + | |
| - | **Active Learner (a.k.a. undergraduate students) ** | + | **Active Learners (a.k.a. undergraduate students) ** |
| - | * Chi-Fan Lo (2020.02--) | + | * 069. Hsin-Kai Lin (2021.07--) |
| - | * Li-Heng Lin (2020.06--) | + | * 073. Kuo-Ming Huang (2022.02--) |
| - | * Hsin-Kai Lin (2021.07--) | + | * 076. Nai-Xuan Ye (2022.10--) |
| - | * Ming-Hsin Chen (2021.07--) | + | * 077. Huai-Yuan Kuo (2022.10--) |
| - | * Feng-Yi Wang (2021.09--) | + | * 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) | + | **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) | |
| - | **Alumni Associate Learner** | + | * 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) |
| - | * Dr. [[Chao-Kai Chiang]] (Associate 2008.09--2013.12; co-advise with Dr. Chi-Jen Lu at IIS Sinica; now in Appier) | + | * 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) |
| - | * Dr. Yi-Hung Huang (Associate 2009.10--2015.12; co-advise with Dr. Chun-Nan Hsu at IIS Sinica) | + | * 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) |
| - | * Jyun-Gu Ye (Associate 2018.02--2019.06) | + | * 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) | |
| - | **Alumni Assistant Learner** | + | * 007. [[https://www.linkedin.com/in/farbound-tai-20340231/|Farbound Tai]] (Attentive 2009.05--2010.07; now in Facebook) |
| - | * [[Han-Hsing Tu]] (Assistant 2008.08--2009.07; Attentive 2009.08--2011.02; now in Cellopoint) | + | * 008. [[https://www.linkedin.com/in/joseph-wen-91889120/|Joseph Wen]] (Active 2009.05--2010.06; now in Google) |
| - | * [[KenYi Lin]] (Assistant 2008.09--2010.07; now in Delta IOT) | + | * 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) |
| - | * [[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) | + | * 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) |
| - | * [[Chen-Wei Hung]] (Assistant 2009.09--2011.08; now in Ebisol Japan) | + | * 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) |
| - | * Yu-Xun Ruan (Assistant 2009.09--2011.08; now in Vivotek) | + | * 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) |
| - | * [[Chun-Sung Ferng]] (Assistant 2010.07--2012.06; Active 2009.02--2010.06; now in Google) | + | * 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) |
| - | * [[sasbluesea|Yao-Nan Chen]] (Assistant 2010.07--2012.06; Active 2009.05--2010.06; now in Appier) | + | * 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) |
| - | * [[Polone Chen]] (Assistant 2010.07--2012.06; Active 2009.08--2010.06; now in Facebook) | + | * 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) |
| - | * Yi-Wen Huang (Assistant 2012.07--2012.09; Active 2011.06--2012.06) | + | * 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) |
| - | * [[Ku-Chun Chou]] (Assistant 2010.05--2013.07; now in Kabam) | + | * 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) |
| - | * Ya-Hsuan Chang (Assistant 2011.07--2013.07; Active 2010.06--2011.06; now in Bridgewell) | + | * 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) |
| - | * Yu-Cheng Chou (Assistant 2011.07--2013.07; Active 2010.03--2011.06; now in Google) | + | * 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) |
| - | * Wei-Yuan Shen (Assistant 2011.07--2013.07; Active 2010.05--2011.06; now in Appier) | + | * 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) |
| - | * [[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) | + | * 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) |
| - | * Chun-Yen Ho (Assistant 2012.07--2014.06; Active 2010.07--2012.06; now in Yahoo! Taiwan) | + | * 022. Yi-Wen Huang (Active 2011.06--2012.06; Assistant 2012.07--2012.09) |
| - | * Han-Jay Yang (Assistant 2012.07--2014.06; Active 2012.02--2012.06; now in Google) | + | * 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) |
| - | * Sheng-Chi You (Assistant 2013.07--2015.06; now in Synopsys) | + | * 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) |
| - | * [[http://khhuang.net/|Kuan-Hao Huang]] (Assistant 2014.07--2016.06; Active 2012.06--2014.06; now a PhD student at UCLA) | + | * 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) |
| - | * Yao-Yuan Yang (Assistant 2013.08--2016.06; now a PhD student at UCSD) | + | * 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) |
| - | * Yi-An Lin (Assistant 2014.02--2016.01; Active 2013.02--2014.01; now in Taiwan AI Lab) | + | * 027. Meng-Huan Yu (Active 2013.08--2014.12; now in Google) |
| - | * Yu-Ping Wu (Assistant 2014.02--2016.01; Active 2013.08--2014.01; now in Bridgewell) | + | * 028. [[http://yyyang.me/|Dr. Yao-Yuan Yang]] (Active 2013.08--2016.06; Ph.D. from UCSD; now in DeepMind) |
| - | * Yu-Jeng Fang (Assistant 2014.02--2016.07; now in Bloomberg) | + | * 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) |
| - | * Kuo-Hsuan Lo (Assistant 2014.04--2017.01) | + | * 030. [[https://iamyuanchung.github.io/|Dr. Yu-An Chung]] (Active 2013.08--2016.06; Ph.D. from MIT; now in Meta Research) |
| - | * Boyo Chen (Assistant 2016.06--2018.07; now in Appier) | + | * 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) |
| - | * Yu-Shao Peng (Assistant 2016.07--2018.07; now in HTC DeepQ) | + | * 032. Hsuan-Li Ren (Active 2013.08--2014.01) |
| - | * I-Ting Chen (Assistant 2017.07--2019.08) | + | * 033. [[https://www.linkedin.com/in/bertchang/|Chih-Wei Chang]] (Active 2014.02--2015.06; now in Facebook) |
| - | * Kuen-Han Tsai (Assistant 2017.07--2019.10; now in Appier) | + | * 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) |
| - | * You-Lin Tsou (Assistant 2015.02--; Active 2014.02--2015.01) | + | * 035. [[https://www.linkedin.com/in/yujhengfang/|Yu-Jeng Fang]] (Active 2014.02--2016.07; now in Bloomberg) |
| - | * Hong-Min Chu (Assistant 2015.07--; Active 2014.02--2015.06) | + | * 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) |
| - | * Hsien-Chun Chiu (Assistant 2015.07--; Active 2014.12--2015.06; now in Bridgewell) | + | * 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) |
| - | * Yu-Ting Chou (Assistant 2018.08--2020.08; Active 2016.06--2018.07; now in Kronos) | + | * 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) |
| - | * Chia-You Chen (Assistant 2018.08--2020.08; Active 2017.03--2018.07; now in Google) | + | * 039. Chin-Huang Lin (Active 2014.07--2017.06) |
| - | * Chien-Min Yu (Assistant 2018.08--2020.08; Active 2017.07--2018.07) | + | * 040. [[https://www.linkedin.com/in/tungen-wu-6116672a/|Tung-En Wu]] (Attentive 2014.10--2016.04) |
| - | * Chi-Chang Lee (Assistant 2019.12--) | + | * 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) | |
| - | **Alumni Active Learner** | + | * 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) |
| - | * Chia-Hsuan Wang (Active 2009.02--2010.06; now a PhD student at Johns Hopkins) | + | * 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) |
| - | * [[wenjoseph|Joseph Wen]] (Active 2009.05--2010.06; now in Google after graduating with an MS from Stanford) | + | * 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) |
| - | * [[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) | + | * 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) |
| - | * Kuan-Sung Huang (Active 2010.05--2011.06; joint RA with Academia Sinica 2013.07--2015.06; now a Ph.D. student at UCSC) | + | * 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) |
| - | * Hsuan-Li Ren (Active 2013.08--2014.01) | + | * 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) |
| - | * Wei-Ning Hsu (Active 2013.08--2014.06; now a PhD student at MIT) | + | * 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) |
| - | * Meng-Huan Yu (Active 2013.08--2014.12) | + | * 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) |
| - | * [[http://people.csail.mit.edu/andyyuan/|Yu-An Chung]] (Active 2013.08--2016.06; now a PhD student at MIT) | + | * 052. [[https://www.chun-yi.me/|Chun-Yi Tu]] (Active 2017.07--2019.02; now in Verizon) |
| - | * [[chih-wei_chang|Chih-Wei Chang]] (Active 2014.02--2015.06, now in Facebook) | + | * 053. Jyun-Gu Ye (Associate 2018.02--2019.06) |
| - | * Shao-Chuan Lee (Active 2014.07--2015.07, now in Google) | + | * 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) |
| - | * Chih-Kuan Yeh (Active 2015.04--2016.07; now a PhD student at CMU) | + | * 055. [[https://www.linkedin.com/in/andrew-bai-a455b815b/|Ching-Yuan Bai]] (Active 2018.08--2021.08, now a PhD student at UCLA) |
| - | * Chin-Huang Lin (Active 2014.07--2017.06) | + | * 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) |
| - | * Chun-Yi Tu (Active 2017.07--2019.02; now in Verizon) | + | * 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) |
| - | * Ching-Yuan Bai (Active 2018.08--2021.09, now a PhD student at UCLA) | + | * 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) | |
| - | **Alumni Attentive Learner** | + | * 061. [[https://pm25.github.io|Pin-Yen Huang]] (Assistant 2019.12--2022.09) |
| - | * Farbound Tai (Attentive 2009.05--2010.07; now in Amazon) | + | * 062. [[https://ashesh-0.github.io/|Ashesh]] (Attentive 2020.01--2021.06; now a Ph.D. student at MPI) |
| - | * Tung-En Wu (Attentive 2014.10--2016.04) | + | * 063. [[https://robertlo.tech/|Chi-Fan Lo]] (Active 2020.02--2022.06; now a MSCS student at CMU) |
| - | * Ashesh (2020.01--2021.06) | + | * 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) | ||
| + | * 075. Hsiu-Hsuan Wang (Active 2022.10--2024.03) | ||
| + | * 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 138: | Line 126: | ||
| * 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) ====== | ||
start.1645605678.txt.gz · Last modified: 2022/02/23 08:41 by maitanha
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