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Joey Tianyi Zhou (周天異)
I am a Principal Scientist II, an investigator with the A*STAR Centre for Frontier AI Research (CFAR), Singapore.
I am also holding an appointment as an Adjunct faculty (Assco. Prof.) at the National University of Singapore (NUS).
I obtained my Ph.D. degree from Nanyang Technological University (NTU), SG, in 2015. I had been a snr. research engineer at Sony US Research Center, San Jose, USA before.
A*STAR Email / NUS Email / People / Teaching / Github / Google Scholar / |
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| ZHOU (Towards Zero-carbon, High-reliability, Open-environment, Unbiased AI) Research Group in CFAR I am always actively searching for talents interested in the intersections of machine learning, hardware, and quantum computing. The following scholarships will be funded by A*STAR and your Ph.D. degree can be obtained from any Singapore university (e.g., NUS, NTU, SMU, STUD). If you want to visit me during your studies, you may apply for a joint Ph.D. scholarship ARAP, or CFAR internship scheme CIARE, ARIA. I can host the visiting students (e.g., CSC program from China) at NUS or A*STAR CFAR. Please feel free to reach out to me. | |
Adjunct Appointment in NUS
You are always welcome to my classes.
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| Research |
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Resource-efficient Learning |
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Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning |
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Multisize Dataset Condensation |
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Data-independent Module-aware Pruning for Hierarchical Vision Transformers |
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You Only Condense Once: Two Rules for Pruning Condensed Datasets |
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Sequential Subset Matching for Dataset Distillation |
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Sharpness-aware training for free |
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RCT: Resource Constrained Training for Edge AI |
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Efficient Spiking Neural Networks with Radix Encoding |
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EDCompress: Energy-Aware Model Compression for Dataflows |
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Utility Optimal Thread Assignment and Resource Allocation in Multi-Server Systems |
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Dual Adversarial Neural Transfer for Sequence Labeling |
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Multi-source Meta Transfer for Low Resource Multiple Choice Question Answering |
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A Deep Learning Framework for Hybrid Heterogeneous Transfer Learning |
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Multi-class Heterogeneous Domain Adaptation |
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Safe and Reliable AI |
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Meta Knowledge Condensation for Federated Learning |
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Trusted Multi-View Classification with Dynamic Evidential Fusion |
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XAI Beyond Classification: Interpretable Neural Clustering |
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PointBA: Towards Backdoor Attacks in 3D Point Cloud |
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Trusted Multi-View Classification |
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Trustworthy Multimodal Regression with Mixture of Normal-inverse Gamma Distributions |
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Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment |
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Query-efficient Meta Attack to Deep Neural Networks |
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Others |
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Locality-Aware Crowd Counting |
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Natural Language Video Localization: A Revisit in Span-based Question Answering Framework |
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Ordered or Orderless: A Revisit for Video based Person Re-Identification |
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AnomalyNet: An Anomaly Detection Network for Video Surveillance |
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| Academic Service |
Standard Editor:
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| Acknowledgements I would like to thank all my collaborators, interns and students. |
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