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

• Programming Language: Python, Matlab, JavaScript, HTML, C/C++, Linux shell
• Tools: Pytorch, Tensorflow, Keras, Opencv, Unix/Linux, Git, Scikit-Learn, LaTeX
• Mathematics: Matrix Theory, Convex Optimization, Probability Theory, Information Theory, Numerical Computation, Stochastic Processes and Introduction to Modern Mathematics

Achievements

Honors

Teaching Assistant

Academic Services

Journal Reviews:

• Journal of Visual Communication and Image Representation (2021-now)

Conference Reviews:

• European Conference on Computer Vision (ECCV'22)
• IEEE Conference on Computer Vision and Pattern Recognition (CVPR'22, CVPR'23)
• IEEE Winter Conference on Applications of Computer Vision (WACV'22, WACV'23)
• AAAI Conference on Artificial Intelligence (AAAI'23)