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Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
He, J., Shen, Z., Tian, F., Chen, J., Yang, J., Sawan, M., Cheng, T., Bogdan, P., & Tsui, C.-Y. (2023, June). SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks [Paper]. 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China (5 pages). External link
Shao, K., Tian, F., Wang, X., Zheng, J., Chen, J., He, J., Wu, H., Chen, J., Guan, X., Deng, Y., Tu, F., Yang, J., Sawan, M., Cheng, T. K.-T., & Tsui, C.-Y. (2025, March). SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis [Paper]. Design, Automation & Test in Europe Conference (DATE 2025), Lyon, France. External link
Tian, F., Chen, J., Shao, K., Liu, Z., Zheng, J., Wu, H., Fang, C., Wang, X., Shen, Z., Dong, P., Yao, Y., Wang, X., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. (2025, April). E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables [Paper]. IEEE Custom Integrated Circuits Conference (CICC 2025), Boston, MA, USA. External link
Tian, F., Zheng, J., He, J., Chen, J., Wang, X., Fang, C., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. (2024, May). BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2024), Singapore, Singapore. External link
Tian, F., Chen, J., Zheng, J., Wu, H., He, J., Wang, X., Fang, C., Yuan, Y., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. (2024). BioPI: An Energy Efficient and Low-Latency Neuromorphic Pipelined System with Joint Design Optimizations of Sensor-Algorithm-Processor for Wearable Healthcare. IEEE transactions on circuits and systems for artificial intelligence., 1-17. External link
Tian, F., Wang, X., Chen, J., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. T. (2023, June). Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System [Paper]. 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China (5 pages). External link
Tian, F., Wang, X., Chen, J., Zheng, J., Wu, H., Liu, X., Tu, F., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. T. (2023, September). BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare [Paper]. 49th European Solid State Circuits Conference (ESSCIRC 2023), Lisbon, Portugal. External link
Tian, F., Zhao, S., He, J., Chen, J., Wang, X., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. T. (2023, October). NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring [Paper]. Biomedical Circuits and Systems Conference (BioCAS 2023), Toronto, ON, Canada (5 pages). External link
Zheng, J., Tian, F., Chen, J., Fang, C., Yao, Y., Yang, J., Sawan, M., Cheng, K.-T., & Tsui, C.-Y. (2025, May). NeuroEye: A 54.59mW, 12200FPS Event-Driven Near-Sensor Eye-Tracking Processor with Pipelined Spatial-Temporal Spike-Streaming [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2025), London, United Kingdom. External link
