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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.
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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.
Chen, F., Cao, L., Wu, D., Zhang, E., Wang, T., Jiang, X., Chen, J., Wu, H., Lin, S., Hou, Q., Zhu, J., Yang, J., Sawan, M., & Zhang, Y. (2025). Acoustic inspired brain-to-sentence decoder for logosyllabic language. Cyborg and Bionic Systems, 0257 (35 pages). External link
Chen, J., Wu, H., Tian, F., Hou, Q., Lin, S., Yang, J., & Sawan, M. (2024, May). A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2024), Singapore, Singapore. External link
Chen, J., Wu, H., Eskandari, R., Liu, X., Lin, S., Hou, Q., Tian, F., Zou, W., Yang, J., & Sawan, M. (2024, April). A Neuron-Inspired 0.0032mm2−1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission [Paper]. IEEE Custom Integrated Circuits Conference (CICC 2024), Denver, CO, USA. External link
Fang, C., Shen, Z., Tian, F., Yang, J., & Sawan, M. (2025, May). An Area-Efficient and Bit-Width Configurable Carry-Save Adder Tree for Spiking Transformers [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2025), London, United Kingdom. External link
Fang, C., Tian, F., Yang, J., & Sawan, M. (2024, May). Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2024), Singapore, Singapore. External link
Fang, C., Shen, Z., Zhao, S., Wang, C., Tian, F., Yang, J., & Sawan, M. (2024, April). A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array [Paper]. IEEE Custom Integrated Circuits Conference (CICC 2024), Denver, CO, USA. External link
Fang, C., Shen, Z., Wang, Z., Wang, C., Zhao, S., Tian, F., Yang, J., & Sawan, M. (2024). An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator With 3-D Computation Array. IEEE Journal of Solid-State Circuits, 1-13. External link
Gao, X., Chen, Y.-H., Zeng, Z., Zheng, W., Chai, C., Wu, H., Zhu, Z., Yang, J., Zhong, L., Shen, H., & Sawan, M. (2025). Specific endophenotypes in EEG microstates for methamphetamine use disorder. Frontiers in Psychiatry, 15. Available
Huang, W., Yan, W., Xu, R., Huang, Q., Yang, J., Trochu, F., & Hu, H. (2021). Wrinkling analysis of circular membranes by a Fourier based reduced model. Thin-Walled Structures, 161, 17 pages. External link
Huang, W., Huang, Q., Liu, Y., Yang, J., Hu, H., Trochu, F., & Causse, P. (2019). A Fourier based reduced model for wrinkling analysis of circular membranes. Computer Methods in Applied Mechanics and Engineering, 345, 1114-1137. External link
Liu, X., Chen, J., Wu, H., Zou, W., Yang, J., & Sawan, M. (2025). An On-Chip Reconfigurable Front-end for Ultra-Low-Power RF Energy Harvesting. IEEE Transactions on Circuits & Systems II Express Briefs, 5 pages. External link
Shen, X., Liu, Y., Yang, J., Liu, J., Wu, N., Sawan, M., & Liu, L. (2025). A 0.0012-mm² 0.66-pJ/bit BPSK demodulator incorporating a loop-filter-less PLL achieving the maximum data rate of fcarrier/2. Journal of Semiconductors, 46(3), 032201 (7 pages). External link
Shang, S., Xu, Y., Jin, M., Ni, C., Jiang, H., Wang, X., Wang, X., Cheng, Y., Wang, M., Zhang, S., Ji, B., Yang, J., Wang, G., & Sawan, M. (2024). Biocompatible Dipeptide Coated on Pt/PEDOT:PSS Modified Silicon Probes for Tissues Rejection Alleviation. Sensors and Actuators B Chemical, 424, 136891. External link
Sawan, M., Yang, J., Tarkhan, M., Chen, J., Wang, M., Wang, C., Xia, F., & Chen, Y.-H. (2021). Emerging Trends of Biomedical Circuits and Systems. 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
Wu, H., Tan, Z., Liu, X., Chen, J., Zou, W., Hou, Q., Lin, S., Mao, Y., Kuang, X., Yang, J., & Sawan, M. (2025, May). Efficient Self-Adaptive Pseudo-Resistor with Rapid Settling and High Linearity for Neurorecording Front-End Circuits [Paper]. IEEE International Symposium on Circuits and Systems (ISCAS 2025), London, United Kingdom. External link
Wu, D., Li, S., Yang, J., & Sawan, M. (2024). Neuro-BERT: Rethinking Masked Autoencoding for Self-Supervised Neurological Pretraining. IEEE Journal of Biomedical and Health Informatics, 1-11. External link
Wang, Z., Yang, J., Wu, H., Zhu, J., & Sawan, M. (2021). Power efficient refined seizure prediction algorithm based on an enhanced benchmarking. Scientific Reports, 11(1), 23498-23498. External link
Xu, Y., Wang, J., Chen, Y.-H., Yang, J., Ming, W., Wang, S., & Sawan, M. (2024, September). VSViG: Real-Time Video-Based Seizure Detection via Skeleton-Based Spatiotemporal ViG [Paper]. European Conference on Computer Vision (ECCV 2024), Milan, Italy. Published in Lecture notes in computer science. External link
Xu, Y., Yang, J., & Sawan, M. (2021). Trends and Challenges of Processing Measurements from Wearable Devices Intended for Epileptic Seizure Prediction. Journal of Signal Processing Systems, 94(6), 527-542. External link
Yang, J., Zhao, S., Wang, J., Lin, S., Hou, Q., & Sawan, M. (2024). Precise and low-power closed-loop neuromodulation through algorithm-integrated circuit co-design. Frontiers in Neuroscience, 18, 13 pages. External link
Zhao, S., Wang, S., Wang, Z., Fang, C., Tian, F., Chen, J., Fu, C., Yang, J., & Sawan, M. (2025). BoostViT: Booth-Serial Skipping and Tunable Scaling for Vision Transformers. IEEE Transactions on Circuits and Systems I Regular Papers, 12 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
Zhao, S., Li, S., Wu, D., Tian, F., Yang, J., & Sawan, M. (2025). A Resource-Efficient Algorithm-Hardware Co-Design Towards Semi-Supervised Neurological Symptoms Prediction. IEEE Transactions on Instrumentation and Measurement, 74, 12 pages. External link
Zou, W., Eskandari, R., Liu, X., Chen, J., Ye, Y., Wu, H., Yang, J., & Sawan, M. (2024, October). A 34 μW and 3.4 pJ/b IR-UWB Transmitter Featuring Spectrum Tunability for Brain-Machine Interfaces [Paper]. IEEE Biomedical Circuits and Systems Conference (BioCAS 2024), Xi"an, China. External link
Zhao, S., Wang, C., Fang, C., Tian, F., Yang, J., & Sawan, M. (2024). HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things. IEEE Transactions on Biomedical Circuits and Systems, 18(5), 1178-1189. External link
Zhao, S., Yang, J., & Sawan, M. (2022). Energy-Efficient Neural Network for Epileptic Seizure Prediction. IEEE Transactions on Biomedical Engineering, 69(1), 401-411. External link
