Chih-Chun (Jimmy) Yang

I am a master student majoring in computer vision from the Robotics Institute at Carnegie Mellon University advised by Prof. Fernando De la Torre in the Human Sensing Lab.

Prior to enrolling at CMU, I obtained an M.S. in computer science from National Taiwan University (國立台灣大學), where I was advised by Prof. Shou-De Lin in the Machine Discovery and Social Network Mining Lab (MSLab) and Prof. Yu-Chiang Frank Wang in the Vision and Learning Lab (VLLab).

I'm passionate and experienced in generative-AI. My research interests focus on cross-modal learning and 3d vision, particularly vision-audio, vision-language, and 3d human motion topics.

Email / Resume / Google Scholar / Github / LinkedIn

Amazon Applied Scientist Intern May 23 - Aug. 25	Carnegie Mellon University M.S. in Computer Vision Aug. 22 - Present	National Taiwan University M.S. in Computer Science Sep. 19 - Jun. 21	SAS Professional Service Delivery Intern Jun. 18 - Aug. 19	National Taiwan University B.B.A. in Information Management Sep. 15 - Jun. 19

News

May 2023: Start my applied scientist internship at Amazon

Feb. 2023: Join Human Sensing Lab at CMU RI

Nov. 2022: One paper is accepted for MACH 2022

Aug. 2022: Start my graduate study at CMU RI

Jan. 2022: One paper is accepted for PAKDD 2022

Dec. 2021: One paper is accepted for AAAI 2022 (oral paper)

Publications

	Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang AAAI Conference on Artificial Intelligence (AAAI), 2022 (Oral Presentation) [Paper] [Poster] [Supplementary Material]
	SMITH: A Self-supervised Downstream-Aware Framework for Missing Testing Data Handling Chih-Chun Yang, Cheng-Te Li, Shou-De Lin Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022 [Paper] [Supplementary Material]
	Bayesian Mixture Variational Autoencoders for Multi-Modal Learning Keng-Te Liao, Bo-Wei Huang, Chih-Chun Yang, Shou-De Lin Machine Learning (MACH), 2022 [Paper]
	Tagging Malware Intentions by using Attention-based Sequence-to-Sequence Neural Network Yi-Ting Huang, Yu-Yuan Chen, Chih-Chun Yang, Yeali Sun, Shun-Wen Hsiao, Meng Chang Chen Australasian Conference on Information Security and Privacy (ACISP), 2019 [Paper]

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