Jue Chen   Research Intern in Microsoft Research Asia Master's Student, Peking University Haidian District, Beijing, China Email: chenjue at stu.pku.edu.cn [Google Scholar] [GitHub]

Biography

I am currently a master's student in Peking University, supervised by Prof. Xing Zhang. I received my Bachelor degree from China Agricultural University in 2021.

My major research interests lie in Multimodal Learning and Brain-inspired Intelligence, such as

• Conditional Multi-modality Generation (Any to Any)
• Vision-Language Pre-training (VLP)
• Optimization and Application in Spiking Neural Networks (SNNs)

I would be very happy to receive the email if you were interested to discuss ideas or work together.

Research Experience

• Microsoft Research Asia (MSRA), Beijing, China
  
  Research Intern

  May 2023 – Now
  • Research on high-fidelity text-guided audio-video generation.
• Kuaishou Technology, Beijing, China
  
  Research Intern

  Apr. 2022 – Mar. 2023
  • Research on general model compression and AutoML algorithm (Hammer).

Publications

(* indicates equal contribution)

• Resource Constrained Model Compression via Minimax Optimization for Spiking Neural Networks
  Jue Chen, Huan Yuan, Jianchao Tan, Bin Chen, Chengru Song, Di Zhang
  The ACM International Conference on Multimedia (ACM MM), 2023.
  
[PDF] [Code]


• Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings
  Yuan Zhang, Jian Cao, Jue Chen, Wenyu Sun, Yuan Wang
  International Conference on Artificial Neural Networks (ICANN), 2023. (Oral)
  
[PDF] [Video]


• A New ANN-SNN Conversion Method with High Accuracy, Low Latency and Good Robustness
  Bingsen Wang, Jian Cao*, Jue Chen, Shuo Feng, Yuan Wang
  International Joint Conference on Artificial Intelligence (IJCAI), 2023.
  
[PDF]

Awards and Honor

• Merit Student of Peking University

  Oct. 2022
  
  
• Excellent Graduate of China Agricultural University

  Jun. 2021
  
  
• Outstanding Undergraduate Graduation Thesis

  Jun. 2021