Xianyu Chen


Ph.D. Candidate
Department of Computer Science and Engineering
University of Minnesota Twin Cities

Office: Keller 6-240
Email: chen6582[AT]umn[DOT]edu

Xianyu Chen

Biography [Resume] [Curriculum Vitae]

I am a fourth-year Ph.D. candidate at University of Minnesota - Twin Cities supervised by Prof. Catherine Qi Zhao in Computer Science from 2019 fall. My research interests include vision & language, human attention and few-shot learning, with the goal of developing human-centered AI systems.

I used to be an intern in Multimedia Research Center, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences supervised by Prof. Yali Wang and Prof. Yu Qiao from August 2018 to January 2019. I focus on object detection, especially, low shots detection and life-long learning.

I have graduated and gotten my master degree in July 2018 in School of Electronics and Information Technology, Sun Yat-sen University, supervised by Prof. Ming Jiang. Previously, I received the B. Eng degree from School of Information Science and Technology in Sun Yat-sen University in 2015, under the supervision of Prof. Ming Jiang.


News

[03/2022] Our paper was accepted by CVPR 2022! Thanks James, Ming, Shi, Louis and Qi.

[04/2021] Our paper was accepted by IJCAI 2021! Thanks Qi and Ming.

[03/2021] Our paper was accepted by CVPR 2021! Thanks Qi and Ming.

[08/2019] Finish my two-month internship at Tencent AI Lab.

[02/2019] I am happy to accept the Ph.D. offer from University of Minnesota - Twin Cities and awarded a two year CSE Graduate Fellowship!


Publication [Google Scholar]

Journal Papers

  1. Xianyu Chen, Yali Wang, Jianzhuang Liu and Yu Qiao, "DID: Disentangling-Imprinting-Distilling for Continuous Low-Shot Detection" in IEEE Transactions on Image Processing, vol. 29, pp. 7765-7778, July 2020.
  2. Xianyu Chen and Ming Jiang, "Enhanced Adaptive Polar-Linear Interpolation Aided Channel Estimation" in IEEE Wireless Communications Letters, vol. 8, no. 3, pp. 693-696, June 2019. [PDF]
  3. Huaiyin Lu, Lin Zhang, Xianyu Chen and Zhiqiang Wu, "Recursive Carrier Interferometry Aided High Data Rate OFDM Systems with PAPR Suppression, Phase Noise Rejection and Carrier Frequency Offsets Compensation" in IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3655 - 3671, April 2019.
  4. Kuan Wu, Ming Jiang, Fengxia She and Xianyu Chen, “Relay-Aided Request-Aware Distributed Packet Caching for Device-to-Device Communication” in IEEE Wireless Communications Letters, vol. 8, no. 2, pp. 217-220, Feb. 2019.
  5. Zhengpeng Li, Ming Jiang, Xiaona Zhang, Xianyu Chen and Weikun Hou, "Space-Time-Multiplexed Multi-Image Visible Light Positioning System Exploiting Pseudo-Miller-Coding for Smart Phones" in IEEE Transactions on Wireless Communications, vol. 16, no. 12, pp. 8261-8274, Dec. 2017.
  6. Xianyu Chen and Ming Jiang, "Adaptive Statistical Bayesian MMSE Channel Estimation for Visible Light Communication" in IEEE Transactions on Signal Processing, vol. 65, no. 5, pp. 1287-1299, March 2017. [PDF]

Conference Papers

  1. Jinhui Yang*, Xianyu Chen*, Ming Jiang, Shi Chen, Louis Wang and Qi Zhao, "VisualHow: Multimodal Problem Solving" in Proceedings of the 2022 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022). (*Co-first authors/Equal contribution) [Project Page] [Paper] [Code]
  2. Xianyu Chen, Ming Jiang and Qi Zhao, "Leveraging Human Attention in Novel Object Captioning" in Proceedings of the 2021 International Joint Conference on Artificial Intelligence (IJCAI 2021). [Paper] [Code] [2min Video] [15min Video]
  3. Xianyu Chen, Ming Jiang and Qi Zhao, "Predicting Human Scanpaths in Visual Question Answering" in Proceedings of the 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021). [Project Page] [Paper] [Code] [Video]
  4. Xianyu Chen, Ming Jiang and Qi Zhao, "Self-Distillation for Few-Shot Image Captioning" in Proceedings of the 2021 IEEE Winter Conference on Applications of Computer Vision (WACV 2021). [Paper] [Code] [Video]
  5. Ze Yang, Yali Wang, Xianyu Chen, Jianzhuang Liu and Yu Qiao, "Context-transformer: tackling object confusion for few-shot detection" in The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Hilton New York Midtown, New York, USA, 7-12 Feb. 2020. [PDF]
  6. Xianyu Chen and Ming Jiang, "Low-Complexity Adaptive Channel Estimation" in Proceedings of the 2018 IEEE 88th Vehicular Technology Conference (VTC' 18 Fall), Chicago, USA, 27-30 Aug. 2018. (EI) (Oral Presentation) [PDF]
  7. Yufa Chen, Ming Jiang, Lin Zhang and Xianyu Chen, "Polarity Modulated Complex Colour Shift Keying for OFDM-Based Visible Light Communication" in Proceedings of the 2017 IEEE/CIC International Conference on Communications in China (ICCC 2017), Qingdao, China, 22-24 Oct. 2017. (EI) (Oral Presentation)
  8. Zhengpeng Li, Ming Jiang, Xiaona Zhang, Xianyu Chen and Weikun Hou, "Miller-Coded Asynchronous Visible Light Positioning System for Smart Phones" in Proceedings of the 2017 IEEE 85th Vehicular Technology Conference (VTC’ 17 Spring), Sydney, Australia, 4-7 June 2017. (EI) (Oral Presentation)
  9. Xianyu Chen and Ming Jiang, "Enhanced Bayesian MMSE Channel Estimation for Visible Light Communication" 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, Valencia, Spain, 4-7 Sept. 2016. (EI) (Oral Presentation) [PDF]

Skills


Achievements

The 2nd Prize in Contemporary Undergraduate Mathematical Contest in Modeling (Leader, Top 8%) National, 2014
Meritorious Winner in Mathematical Contest in Modeling (Leader, Top 15%) International, 2013
The 1st Prize in Chinese Mathematics Competitions (8th in Guangdong Province) National, 2013
The 2nd Prize in National Undergraduate Electronics Design Contest Provincial, 2013
The 3rd Prize in Summer Camp of Undergraduate Mathematical Contest in Modeling (Leader, 4th in the contest) National, 2012

Honors

College Science and Engineering Graduate Fellowships University of Minnesota, 2019, 2020
National Scholarship Department of Education of China, 2013, 2017
The 1st Prize of Outstanding Students Scholarships Sun Yat-sen University, 2013, 2014, 2015, 2016, 2017
Five Course Certificates of Deep Learning Specialization by Andrew Ng Coursera, 2017, 2018
Outstanding Undergraduate Student Award Sun Yat-sen University, 2015
Zhentai Scholarship Sun Yat-sen University, 2012

Teaching Assistant

CSCI 5521: Machine Learning Fundamentals Fall 2022
CSCI 5302: Analysis of Numerical Algorithms Spring 2022
CSCI 5521: Machine Learning Fundamentals Fall 2021

Academic Services

Journal Reviews:

Conference Reviews:



© Xianyu Chen | Last updated: 23 Nov 2022