• I am currently a Senior Scientist II (Principal Investigator, Lab Head, PhD advisor) at Institute for Infocomm Research, Agency for Science, Technology and Research (ASTAR), Singapore, an Early Career Investigator at Centre for Frontier AI Research (CFAR), ASTAR, Singapore and a Part-time Lecturer at Nanyang Technological University (NTU), Singapore.

• I obtained my Bachelor’s Degree from University of Electronic Science and Technology of China at 2011 and PhD’s Degree from Nanyang Technological University (NTU), Singapore at 2017 under the supervision of Prof. Yeng Chai Soh. After graduation, I have been working at NTU as a Research Fellow under the supervision of IEEE Fellow, IFAC Fellow, Prof. Lihua Xie.

• My research interest is sensory data analytics, machine learning, deep learning, transfer learning and related applications.

Recent News

• Two papers entitled “Reinforced Cross-Domain Knowledge Distillation on Time Series Data” and “Meta-Exploiting Frequency Prior for Cross-Domain Few-Shot Learning” have been accepted by NeurIPS 2024
• One paper entitled “SEA++: Multi-Graph-based High-Order Sensor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation” has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence
• One paper entitled “TSLANet: Rethinking Transformers for Time Series Representation Learning” has been accepted by ICML 2024
• I am serving as the Associate Editor-in-Chief for Elsivier Neurocomputing.
• Two papers entitled “Graph Contextual Contrasting for Multivariate Time Series Classification” and “Fully-Connected Spatial-Temporal Graph for Multivariate Time Series Data” has been accepted by AAAI 2024
• One paper entitled “Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification” has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence
• One paper entitled “Local-Global Correlation Fusion based Graph Neural Network for Remaining Useful Life Prediction” has been accepted by IEEE Transactions on Neural Networks and Learning Systems
• One paper entitled “Going Deeper into Recognizing Actions in Dark Environments: A Comprehensive Benchmark Study” has been accepted by International Journal of Computer Vision
• One paper entitled “Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation” has been accepted by ICCV 2023
• I am serving as the Associate Editor for IEEE Transactions on Industrial Cyber-Physical Systems.
• I am serving as the Associate Editor for IEEE Sensors Journal.
• One paper entitled “Generalizing Wireless Cross-Multiple-Factor Gesture Recognition to Unseen Domains” has been accepted by IEEE Transactions on Mobile Computing
• One paper entitled “Contrastive Domain Adaptation for Time-Series via Temporal Mixup” has been accepted by IEEE Transactions on Artificial Intelligence
• One paper entitled “WiSR: Wireless Domain Generalization Based on Style Randomization” has been accepted by IEEE Transactions on Mobile Computing
• One paper entitled “Source-Free Domain Adaptation with Temporal Imputation for Time Series Data” has been accepted by KDD 2023 (acceptance rate: 22%)
• One paper entitled “Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data” has been accepted by IJCAI 2023 (acceptance rate: 15%)
• I am serving as the Associate Editor for Springer Discover Artificial Intelligence.
• I am serving as the Associate Editor for IEEE Transactions on Industrial Informatics.
• One paper entitled “SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation” has been accepted by AAAI 2023 (acceptance rate: 19.6%)
• Two papers entitled “Self-Supervised Autoregressive Domain Adaptation for Time Series Data” and “Aligning Correlation Information for Domain Adaptation in Action Recognition” have been accepted by IEEE TNNLS.
• One paper entitled “Learning Temporal Consistency for Source-Free Video Domain Adaptation” has been accepted by ECCV 2022 Code is available here.
• I am serving as the Associate Editor for IEEE Transactions on Instrumentation and Measurement.
• I have been jointly appointed as Early Career Investigator at Centre for Frontier AI Research (CFAR), A*STAR, Singapore.
• One paper entitled “Generalizing Reinforcement Learning through Fusing Self-Supervised Learning into Intrinsic Motivation” has been accepted by AAAI 2022(acceptance rate: 15%)
• One paper entitled “Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer” has been accepted by NeurIPS 2021(acceptance rate: 26%) Code is available here.
• One paper entitled “Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network” has been accepted as oral in ICCV 2021 (oral acceptance rate: 3%).
• Our team AStarTrek has got 1st place winner for the CVPR 2021 UG2+ Challenge Track 2.1.
• Call for Paper: We are orgnizing a workshop at IJCAI 2021, named “3RD International Workshop on Deep Learning for Human Activity Recognition”. The submission deadline is May 31, 2021.
• Two papers have been accepted in IJCAI 2021 (acceptance rate: 13.9%).
• One paper entitled “An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG” has been accepted by IEEE Transactions on Neural Systems and Rehabilitation Engineering.
• I have been promoted to IEEE Senior Member.
• I am serving as the Associate Editor for Elsivier Neurocomputing.
• I am homored to be recognised as the World’s Top 2% Scientists. It is compiled by Stanford University based on the standardized citation indicators (Table-S7-singleyr-2019), which was published in PLOS Biology and also avaiable online at Mendeley Database.
• Our team AStarTrek has won First Runner-up Award (2nd place) for the Grand Challenge at VCIP 2020.
• Our paper entitled “Two-Stream Convolution Augmented Transformer for Human Activity Recognition” has been accepted by AAAI 2021, Code is available here.
• I was invited to serve as PC for IJCAI2021 and AAAI 2021.
• I was invited to serve as Track Chair for ICIEA 2021: Track on Artifical Intelligence.
• We are orgnizing a special session at IEEE Conference on Industrial Electronics and Applications (ICIEA 2021), “Artificial Intelligence for Industrial Internet of Things (IIoT)”. The submission deadline is Dec 31, 2020 (will be extended).
• We are orgnizing a special issue at IEEE Transactions on Emerging Topics in Computational Intelligence, Special Issue on Computational Intelligence for IoT-based Human Activity Recognition. The submission deadline is Jan 31, 2021.
• Our paper entitled “adversarial Transfer Learning for Machine Remaining Useful Life Prediction” has won IEEE International Conference on Prognostics and Health Management (ICPHM) 2020 Finalist Academic Paper Award
• We are orgnizing an invited session on IEEE ICARCV 2020, “Internet of Things (IoT) Based Indoor/Outdoor Localization and Tracking”. Submission Code: jvw28. Looking forward to your submissions!
• We are orgnizing a special issue at Journal of Healthcare Engineering (IF: 1.295), Special Issue on Monitoring of Human Vital Signs and its Applications in Healthcare. The submission deadline is September 25, 2020.
• One paper entitled “An Attention Based CNN-LSTM Approach for Sleep-Wake Detection with Heterogeneous Sensors” has been accepted by IEEE Journal of Biomedical and Health Informatics.
• One paper entitled “A Novel Ensemble Deep Learning Approach for Sleep-Wake Detection Using Heart Rate Variability and Acceleration” has been accepted by IEEE Transactions on Emerging Topics in Computational Intelligence.
• One paper entitled “A Novel Real-Time Deep Learning Approach for Indoor Localization Based on RF Environment Identification” has been accepted by IEEE Sensors Letter.
• One paper entitled “WiFi-Based Indoor Robot Positioning Using Deep Fuzzy Forests” has been accepted by IEEE Internet of Things Journal.
• We are orgnizing a workshop at IJCAI 2020, named “2ND International Workshop on Deep Learning for Human Activity Recognition”. The submission deadline is May 1, 2020. Due to COVID 19, the main conference has been extended to Jan 2021. We also extend this workshop to 15 September 2020 to give more time for authors. Thanks!
• One paper entitled “MobileDA: Towards Edge Domain Adaptation” has been accepted by IEEE Internet of Things Journal.
• One paper entitled “Machine Remaining Useful Life Prediction via an Attention Based Deep Learning Approach” has been accepted by IEEE Transactions on Industrial Electronics, code is available here.
• One paper entitled “Using Reinforcement Learning to Minimize the Probability of Delay Occurrence in Transportation” has been accepted by IEEE Transactions on Vehicular Technology.
• I was invited to serve as PC for IJCAI2020.
• Two PhD scholarships, i.e., ACIS scholarship and SINGA, have been released in A*STAR collabrated with Singapore universities (NTU, NUS, SMU and SUTD). If you are interested, please contact me directly.
• I was invited to serve as a Track Chair, Industrial Informatics and Computational Intelligence, in IEEE ICIEA 2020 and IEEE IECON 2020.
• One book chapter entitled “Deep Learning for Building Occupancy Estimation Using Environmental Sensors” has been published In Book ‘Deep Learning: Algorithms and Applications’, Springer, Cham, 2020
• One paper entitled “Bayesian filtering for building occupancy estimation from carbon dioxide concentration” has been accepted by Energy and Buildings.
• One paper entitled “Smartphone Sensor Based Human Activity Recognition Using Feature Fusion and Maximum Full A Posteriori” has been accepted by IEEE Transactions on Instrumentation and Measurement.
• Our paper entitled “Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data” has been reported on A*STAR Research Highlights link.
• One paper entitled “Light Sensor Based Occupancy Estimation via Bayes Filter with Neural Networks” has been accepted by IEEE Transactions on Industrial Electronics .
• One paper entitled “WiFi Fingerprinting Indoor Localization Using Local Feature-based Deep LSTM” has been accepted by IEEE Systems Journal .
• Call for Journal Paper: We are orgnizing a special issue at Elsevier Neurocomputing (IF: 3.241), Special Issue on Deep Learning for Human Activity Recognition. The submission deadline is September 1, 2019.
• Call for Top AI Workshop Paper: We are orgnizing a workshop at IJCAI 2019, named “Deep Learning for Human Activity Recognition”. The submission deadline is May 9, 2019.