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Ruibing Jin

Senior AI Researcher
Sony
ruibing_jin(at)outlook(dot)com




About Me

I am currently a Senior AI Researcher in Sony, acting as technical lead for the Embodied AI project, and core algorithm design.

Before that, I was a Lead Data Scientist / Team & Technical Lead of an AI algorithm team in TikTok and a Research Scientist at Institute for Infocomm Research (I2R), A*STAR, Singapore. I obtained my Bachelor’s Degree from University of Electronic Science and Technology of China (UESTC). After that, I obtained my Master and Ph.D degree from Nanyang Technological University (NTU), Singapore, respectively, under the supervision of Prof. Wang Jianliang, Prof. Wen Changyun and Prof. Lin Guosheng. I also cooperated with Prof. Yuan Junsong.

My research interests include multimodal learning, AIGC, computer vision, and time series.

Awards

Services

I am a reviewer of top-tier conferences and journals including CVPR, ICCV, ECCV, AAAI, ACM MM, TCSVT, TNNLS, TII, PR, etc.

News

  • [Sep. 2025] One paper is accepted by Expert Systems With Applications.
  • [Mar. 2025] One paper is accepted by ICME 2025.
  • [Jul. 2024] One paper is accepted by IEEE Transactions on Industrial Informatics.
  • [Jun. 2024] One paper is accepted by IEEE Transactions on Industrial Informatics.
  • [May. 2024] One paper is accepted by IEEE Transactions on Artificial Intelligence.
  • [Feb. 2024] Our AdaNet published on TII is reported on A*STAR Research Highlights.
  • [Dec. 2023] One paper is accepted by IEEE Transactions on Instrumentation and Measurement.
  • [Oct. 2023] One paper is accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • [Oct. 2023] One paper is accepted by IEEE Transactions on Reliability.
  • [Mar. 2023] One paper is accepted by IEEE Transactions on Industrial Informatics.
  • [Dec. 2022] Our paper “Multi-task Self-Supervised Adaptation for Reinforcement Learning” has won the best paper award at The 17th IEEE Conference on Industrial Electronics and Applications 2022！
  • [Dec. 2022] The source code for our Bi-LSTM based Two-Stream Network for RUL is released!
  • [Nov. 2022] One paper is accepted by IEEE Transactions on Circuits and Systems for Video Technology.
  • [Oct. 2022] 💥💥Our PE-Net receives much attention and is reported by the official JAS channel and some famous media, such as Tech Xplore, EurekAlert!, and PR Newswire.
  • [Oct. 2022] The source code for our PE-Net is released!
  • [Aug. 2022] One paper is accepted by IEEE/CAA Journal of Automatica Sinica.
  • [Apr. 2022] One paper is accepted by IEEE Transactions on Instrumentation and Measurement.
  • [Feb. 2022] One paper is accepted by Knowledge-Based Systems
  • [Feb. 2022] One paper is accepted by Pattern Recognition
  • [Jun. 2021] Our team AStarTrek achieved the 1st place winner for the CVPR 2021 UG2+ Challenge Track 2.1, which is officially reported by ASTAR on LinkedIn.
  • [Jun. 2021] One paper is accepted by Journal of Biophotonics.
  • [Apr. 2021] One paper is accepted by Biomedical Optics Express.
  • [Oct. 2020] One paper is accepted by IEEE Signal Processing Letters.

Selected Publications

— 2025 —

Restoring Missing Gaps and Intervals via Global Consistency and Local Coherence

Richa Hu, Dan Li, Jian Lou, Ruibing Jin, Bingxin Lin, Wenzhong Li, See Kiong Ng, Zibin Zheng

Expert Systems with Applications, 2025

SimCast: Enhancing Precipitation Nowcasting with Short-to-Long Term Knowledge Distillation

Yifang Yin, Shengkai Chen, Yiyao Li, Lu Wang, Ruibing Jin, Wei Cui, Shili Xiang

2025 IEEE International Conference on Multimedia and Expo (ICME), 2025

— 2024 —

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices

Ruibing Jin, Qing Xu, Min Wu, Yuecong Xu, Dan Li, Xiaoli Li, Zhenghua Chen

arXiv preprint arXiv:2406.08765, 2024

K-link: Knowledge-link graph from llms for enhanced representation learning in multivariate time-series data

Yucheng Wang, Ruibing Jin, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen,

arXiv preprint arXiv:2403.03645, 2024

Curriculum-based Federated Learning for Machine Fault Diagnosis with Noisy Labels

Wenjun Sun, Ruqiang Yan*, Ruibing Jin*, Rui Zhao, Zhenghua Chen,

IEEE Transactions on Industrial Informatics(TII), 2024

FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction with Continuous-to-Discrete Conversion

Chao Cai, Yuming Fang, Weide Liu*, Ruibing Jin*, Jun Cheng, Zhenghua Chen

IEEE Transactions on Industrial Informatics(TII), 2024

Reinforced Reweighting for Self-supervised Partial Domain Adaptation

Keyu Wu, Shengkai Chen, Min Wu, Shili Xiang, Ruibing Jin, Yuecong Xu, Xiaoli Li, Zhenghua Chen

IEEE Transactions on Artificial Intelligence, 2024

— 2023 —

FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis

Wenjun Sun, Ruqiang Yan*, Ruibing Jin*, Rui Zhao, Zhenghua Chen

IEEE Transactions on Instrumentation and Measurement(TIM), 2023

Local–Global Correlation Fusion-Based Graph Neural Network for Remaining Useful Life Prediction

Yucheng Wang, Min Wu, Ruibing Jin, Xiaoli Li, Lihua Xie, Zhenghua Chen

IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2023

LiteFormer: A Lightweight and Efficient Transformer for Rotating Machine Fault Diagnosis

Wenjun Sun, Ruqiang Yan*, Ruibing Jin*, Jiawen Xu, Yuan Yang, Zhenghua Chen

IEEE Transactions on Reliability, 2023

An adaptive and dynamical neural network for machine remaining useful life prediction

Ruibing Jin, Duo Zhou, Min Wu, Xiaoli Li, Zhenghua Chen

IEEE Transactions on Industrial Informatics(TII), 2023

— 2022 —

Reinforced Adaptation Network for Partial Domain Adaptation

Wu, Keyu, Min Wu, Zhenghua Chen, Ruibing Jin, Wei Cui, Zhiguang Cao, Xiaoli Li

IEEE Transactions on Circuits and Systems for Video Technology(TCSVT), 2022

Multi-task Self-Supervised Adaptation for Reinforcement Learning

Wu, Keyu, Zhenghua Chen, Min Wu, Shili Xiang, Ruibing Jin, Le Zhang, Xiaoli Li

IEEE 17th Conference on Industrial Electronics and Applications (ICIEA), 2022

Position Encoding Based Convolutional Neural Networks for Machine Remaining Useful Life Prediction

Jin Ruibing, Wu Min, Wu Keyu, Gao Kaizhou, Chen Zhenghua, Li Xiaoli

IEEE/CAA Journal of Automatica Sinica(JAS), 2022

Bi-LSTM-Based Two-Stream Network for Machine Remaining Useful Life Prediction

Ruibing Jin, Zhenghua Chen, Keyu Wu, Min Wu, Xiaoli Li, Ruqiang Yan

IEEE Transactions on Instrumentation and Measurement(TIM), 2022

Online Active Proposal Set Generation for Weakly Supervised Object Detection

Ruibing Jin, Guosheng Lin, Changyun Wen

Knowledge-Based Systems, 2022

Feature flow: In-network feature flow estimation for video object detection

Ruibing Jin, Guosheng Lin, Changyun Wen, Jianliang Wang, Fayao Liu

Pattern Recognition(PR), 2022


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