Contact



Winston H. Hsu [chinese name] (CV)

RM 512, CSIE Building,
1 Roosevelt Road, Section 4,
Taipei 106, Taiwan

TEL: +886-2-3366-4888 ext. 512
FAX: +886-2-3366-4898

E-mail: e-mail
Web: http://www.csie.ntu.edu.tw/~winston
Office Hour: 10am ~ 12pm, Tuesday, @R512


MiRAcle we believe in!

Short Bio

Dr. Winston Hsu is an active researcher dedicated to novel algorithms and systems for large-scale image/video retrieval, social media mining/ recommendation, multimedia analytics, and mobile and cloud-based multimedia applications. He has been recognized with technical awards and best paper awards in multimedia research community. He is keen to realizing advanced researches towards business deliverables. Other major contributions include mobile visual search solutions, image/video reranking, image classification models (e.g., Columbia374), and large-scale multimedia ontologies (e.g., LSCOM). See more details in his Google Citations. He delivered keynote speech and lectured several state-of-the-art tutorials in top conferences. He is in the technical committee for top conferences (e.g., ACM Multimedia, SIGIR, and WWW) and the organizing committee for ACM Multimedia and ICME. He is on the Editorial Board for IEEE Multimedia Magazine and JMM. He is an Associate Professor in CSIE & GINM, National Taiwan University and the founder of MiRA (Multimedia indexing, Retrieval, and Analysis) Research Group, in Communication and Multimedia Lab (CMLab). He received his Ph.D. (2007) degree from Columbia University, New York, under the supervision of Prof. Shih-Fu Chang. Before that, he worked for years as a founding engineer in the multimedia software company, CyberLink Corp., where experiencing Engineer, Project Leader, and R&D Manager. He was experienced with software product/service shipping processes. He is both ACM and IEEE Senior Member. He is recently awarded 2011 Ta-You Wu Memorial Award, a national and prestigious recognition for young researchers. See more details in his CV.


News!!

Research Focus

The prevalence of capture devices and the advent of media-sharing services have drastically increased the sheer amount of image and video collections. Here arise the strong needs for effective multimedia analysis and efficient multimedia retrieval. We have been devoted to large-scale photo and video retrieval, knowledge discovery from large-scale social media mining, distributed computation for multimedia analysis and retrieval, and devised novel multimedia applications in mobile devices.

Though having observed very exciting applications in large-scale multimedia analysis and retrieval, we further identify certain core challenges and respond to them respectively:





  facial/clothing attribute detection/search
web-scale indexing & feature learning
large-scale photo/video recognition
web-scale facial image retrieval
mobile visual recognition



multimodal deep neural network
social media mining
big data analytics and visualization
first-person/wearable cameras
consumer photo retrieval

Recruiting

Snapshots for the lab life!!

>> Why having research projects in MiRA group? for CSIE undergraduates and PhD students. Some quick demos: