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Our mission is to enable machines to perceive and understand the real world, so they can intelligently and robustly perform in chanllenging tasks and scenarios.
  • Machine Perception: data acquisition and processing
  • Machine Learning: knowledge modeling and aggregation

Machine Learning

We conduct researches on probabilistic learning and inference, kernel methods and deep Learning, esp. Multimodal Deep Networks

Computer Vision

We work on a wide range of computer vision problems including visual scene understanding, video analysis and understanding and multimodal data analysis

Knowledge Representation

We are interested in several knowledge representation tasks such as discovery of trustworthy knowledge, multi-source knowledge aggregation, and heterogeneous network analysis

Recent News

[May. 2018]
Our paper on "High sensitivity with tiny candidates for Pulmonary Nodule Detection" was accepted by MICCAI 2018.
[May. 2018]
The paper "Global versus Localized Generative Adversarial Nets" will appear in CVPR 2018. We present a new construction of Laplacian-Beltrami operator to enable semi-supervised learning on manifolds without resorting to Laplacian graphs as an approximate. We also demonstrate the state-of-the-art performance on image classiciation tasks.
[May. 2018]
Our paper "Interleaved Structured Sparse Convolutional Neural Networks" will appear in CVPR 2018 to present a new compact CNN model.
[Jan. 2018]
Dr. Qi is invited as an area chair for ICPR 2018.
[Jan. 2018]
Dr. Qi is serving as an Associate Editor for IEEE Transaction on Circuits and Systems for Video Technology (CSVT).
[Dec. 2017]
Dr. Qi will serve as Technical Program Co-Chair for ACM Multimedia 2020 at Seattle.
[Oct. 2017]
A paper "Interleaved Group Group Convolutions for Deep Neural Networks" has been accepted by ICCV 2017. We developed a super compact and fast deep convolutional architeture amenable to deployment on mobile devices.
[May. 2017]
Congratulations to Hao and Liheng on their ICML2017 and KDD2017 papers being accepted.
[Mar. 2017]
Congratulations to Mr. Joey Velez-Ginorio, an undergraduate researcher of our group, on being selected as a Barry Goldwater scholar. This is the most prestigious undergraduate scholarship across the country established by the United States Congress in honor of United States Senator and former presidential candidate Barry Goldwater to support highly qualified college students to pursue careers in STEM.
[Jan. 2017]
Dr. Qi will serve as an Area Chair for ICCV 2017.

Dr. Qi will serve as an Area Chair for ICME 2017.
[Dec. 2016]
A paper on learning compact features that encode dynamics of video and sensor data has been accepted by ACM TOMM.
[Nov. 2016]
A paper on jointly learning label classification and tag recommendation has been accepted by AAAI 2017.

One paper developing an efficient ranking-based hashing algorithm has been accepted for the publication in IEEE Transactions on Pattern Analysis and Machine Intelligence.