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Cheng Deng (邓成), Professor
Video & Image Processing System Lab |
I am a Full Professor in School of Electronic Engineering at Xidian University. From 2012 to 2013, I was a Visiting Scholar at DVMM Lab with Prof. Shih-Fu Chang (NAE Member), Columbia University. Earlier, I received my Ph.D. degree under supervision of Prof. Xinbo Gao from School of Electronic Engineering, Xidian University in 2009.
My research interests are the broad area of computer vision, machine learning, and deep learning. I am particularly interested in massive multi-modal perception, analysis and reasoning, including cross-modality retrieval, language-to-visual, visual reasoning, and visual content analysis.
Feb. 28, 2023, two papers were accepted to CVPR2023 (25.78% acceptance rate). Congrats Muli and AMing!
Jan. 30, 2023, one paper was accepted to IEEE Trans. Multimedia. Congrats Rui and Xiangyu!
Jan. 18, 2023, one paper was accepted to IEEE Trans. Image Process. Congrats Jiexi!
Jan. 16, 2023, I received Outstanding Teacher Award of Shaanxi Province.
Sep. 25, 2022, one paper was accepted to Pattern Recognition. Congrats Tengjiao!
Sep. 15, 2022, two papers were accepted to NeurIPS2022 (25.6% acceptance rate). Congrats Jiexi!
Sep. 1, 2022, one paper was selected as Highly Cited Papers. Congrats Xu Yang!
Aug. 31, 2022, one paper was accepted to IEEE Trans. Multimed. Congrats to Zhe Xu!
Aug. 14, 2022, one paper was accepted to IEEE Trans. Neural Netw. Learn. Syst. Congrats to Zhiyuan!
Aug. 12, 2022, one paper was accepted to IEEE Trans. Multimed. Congrats to Muli!
Aug. 8, 2022, one paper was accepted to IEEE Trans. Neural Netw. Learn. Syst. Congrats to Kun Wei!
Jun. 30, 2022, one paper was accepted to IEEE Trans. Image Process. Congrats to Zhe Xu!
May 31, 2022, two graduate students have successfully passed their dissertation oral defense. Congrats to Tengjiao and Rui!
May 27, 2022, three doctoral students have successfully passed their dissertation oral defense. Congrats to Kun, Zhiyuan and Jiexi!
May 18, 2022, one paper was accepted to IEEE Trans. Pattern Anal. Mach. Intell. Congrats to Xinyi!
April 21, 2022, one paper was accepted to IJCAI-ECAI2022. Congrats to Xuan Kou!
April 14, 2022, I was awarded as 2021 Most Cited Chinese Researchers.
Mar. 8, 2022, one paper was accepted to IEEE Trans. Image Process. Congrats to Xu and Hao!
Mar. 2, 2022, six papers were accepted to CVPR2022 (25.3% acceptance rate). Congrats to my proud students!
Feb. 13, 2022, one paper was accepted to IEEE Trans. Pattern Anal. Mach. Intell. Congrats to Xinyi!
Jan. 26, 2022, Xu Yang's PhD thesis was selected as the excellent doctoral dissertation of CAAI.
Outstanding Teacher Award of Shaanxi Province in 2023.
Candidates of National Millions of Talent Project in 2020.
Distinguished Young Scholars Foundation of Shaanxi province in 2020.
The First Prize of Natural Science Award of Shaanxi province in 2019.
Young Science and Technology Pacesetter of Shaanxi province in 2018.
First Xi'an Star Award in the field of Science and Technology in 2018.
Young and Middle-aged Scientific and Technological Innovation Leading Talents of Shaanxi province in 2017.
The Second Prize of National Natural Science Award in 2016.
" Mount Hua " Young Scholar of Xidian University in 2015.
The First Prize of Science and Technology Award of Shaanxi Province Government in 2015.
The Second Prize of Natural Scientific Award of Ministry of Education in 2013.
New Century Excellent Talents Supporting Program of Ministry of Education in 2012.
Young Science and Technology Star of Shaanxi Province in 2012.
The First Prize of Science and Technology Award, Shaanxi Province Government in 2012.
Signal Processing " Most Cited Article " (2009-2012).
Our work was supported in part by Key Research and Development Program of Shaanxi under Grant 2021ZDLGY01-03, the National Natural Science Foundation of China under Grant 62132016, 62171343, and 62071361, and the Fundamental Research Funds for the Central Universities ZDRC2102.
I am looking for self-motivated, self-controlled, and independent Ph.D. and M.S. students to work on computer vision, pattern recognition, machine learning and deep learning. If you are interested, please feel free to contact me.