RESEARCH CENTER FOR IT INNOVATION, ACADEMIA SINICA
Congratulations to Hao-Wei Lee (now at Univ. Toronto), Wei-Jen Ko, Jheng-Ying Yu, Te-Li Wang, and Kuan-Yun Lee, whose papers are accepted for the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017).
Congratulations to Chih-Kuan Yeh, Wei-Chieh Wu, and Wei-Jen Ko, whose paper "Learning Deep Latent Spaces for Multi-Label Classification" is accepted for the 31st AAAI Conference on Artificial Intelligence (AAAI-17) 2017.
MML Lab is looking for postdoc researchers, research assistants, and PhD/MS students to join our exciting projects on computer vision, machine learning, pattern recognition, and multimedia content analysis. Candidates with strong academic background and research experience are encouraged to apply. To apply, please email your CVs with a complete publication list to Dr. Frank Wang.
Congratulations to Wei-Yu Chen, Harry Hsu, and Yao-Hung Hubert Tsai, whose paper "Transfer Neural Trees for Heterogeneous Domain Adaptation" is accepted for the 14th European Conference on Computer Vision (ECCV) 2016.
Congratulations to Yao-Hung Tsai for receiving the PhD admission with full scholarship from Dept. Machine Learning of Carnegie Mellon University. We are excited that Eddie Lin joins the Program of Data Science for Social Good at the University of Chicago, and we congratulate Shun-Jen Lee, Hao-Wei Lee, and Hsin-Yuan Wen for receiving the MS admissions from UCSD, University of Toronto, and Georgia Tech, respectively.
Congratulations to Dr. Chia-Po Wei, Yuan-Ting Hsieh, Shih-Yen Tao, and Yao-Hung Tsai, whose papers are selected as Top 15% papers for oral presentation at IEEE ICME 2016.
Congratulations to our former lab members, Johnny Chao (PhD student at UMich, Ann Arbor) and Chia-Yin Tsai (PhD student at CMU), who are selected as 2016 Google PhD Fellows in the category of Machine Perception, Speech Technology and Computer Vision.
Congratulations to Yao-Hung Hubert Tsai, whose paper "Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation" is accepted for IEEE International Conference on Computer Vision and Pattern Recognition 2016.
Congratulations to our undergraduate students, Tzu-Ming Harry Hsu and Wei-Yu Chen, whose paper "Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data" is accepted for IEEE International Conference on Computer Vision 2015. We also thank the assistance from the co-authors: Cheng-An Hou (now at the Robotics Institute, CMU), Yao-Hung Tsai, and Dr. Yi-Ren Yeh (now at Dept. Math, NKNU).