Jie Yang

杨杰

Phone/Wechat: +86 13157577935

Email: yangjie@westlake.edu.cn

Google Scholar: Link

论文索引

期刊论文(*代表通信作者)

    2024

  1. S. Shang, Y. Xu, M. Jin, C. Ni, H. Jiang, X. Wang, X. Wang, Y. Cheng, M. Wang, S. Zhang, B. Ji, J. Yang, G. Wang, M. Sawan, "Biocompatible dipeptide coated on Pt/PEDOT: PSS modified silicon probes for tissues rejection alleviation", Sensors and Actuators B: Chemical, 2025. DOI
  2. X. Shen, Z. Zhang, J. Yang, J. Liu, N. Wu, M. Sawan, L. Liu, "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, 2024. DOI
  3. C. Fang, Z. Shen, Z. Wang, C. Wang, S. Zhao, F. Tian, J. Yang*, M. Sawan*, "An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator With 3-D Computation Array", IEEE Journal of Solid-State Circuits, 2024. DOI
  4. F. Tian, J. Chen, J. Zheng, H. Wu, J. He, X. Wang, C. Fang, Y. Yao, J. Yang, M. Sawan, Chi-Ying Tsui, Kwang-Ting Tim Cheng, "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, 2024. DOI
  5. D. Wu, S. Li, J. Yang*, M. Sawan*, "Neuro-BERT: Rethinking Masked Autoencoding for Self-Supervised Neurological Pretraining", IEEE Journal of Biomedical and Health Informatics, 2024. DOI
  6. S. Zhao, C. Wang, C. Fang, F. Tian, J. Yang*, M. Sawan, "HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things", IEEE Transactions on Biomedical Circuits and Systems, 2024. DOI
  7. J. Yang, S. Zhao, J. Wang, S. Lin, Q. Hou, M. Sawan, "Precise and low-power closed-loop neuromodulation through algorithm-integrated circuit co-design", Frontiers in Neuroscience, 2024. DOI
  8. Y. Xu, J. Yang, W. Ming, S. Wang, M. Sawan, "Shorter latency of real-time epileptic seizure detection via probabilistic prediction", Expert Systems with Applications, 2024. DOI

    9. 2023

  9. F. Xia, H. Li, Y. Li, X. Liu, Y. Xu, C. Fang, Q. Hou, S. Lin, Z. Zhang, J. Yang*, M. Sawan, "Minimally Invasive Hypoglossal Nerve Stimulator Enabled by ECG Sensor and WPT to Manage Obstructive Sleep Apnea", MDPI Sensors, 2023. DOI
  10. D. Wu, J. Yang*, M. Sawan, "Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. DOI
  11. H. Wu, J. Chen, X. Liu, W. Zou, J. Yang*, M. Sawan, "An Energy-Efficient Small-Area Configurable Analog Front-End Interface for Diverse Biosignals Recording", IEEE Transactions on Biomedical Circuits and Systems, 2023. DOI
  12. C. Wang, C. Fang, Y. Zou, J. Yang*, M. Sawan, "SpikeSEE: An energy-efficient dynamic scenes processing framework for retinal prostheses", Neural Networks, 2023. DOI
  13. C. Fang, C. Wang, S. Zhao, F. Tian, J. Yang*, M. Sawan, "A 510μW 0.738-mm2 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor with Unified Computation Engine in 40-nm CMOS", IEEE Transactions on Biomedical Circuits and Systems, 2023. DOI
  14. S. Zhao, J. Yang*, J. Wang, C. Fang, T. Liu, S. Zhang, M. Sawan, "A 0.99-to-4.38 μJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses", IEEE Transactions on Biomedical Circuits and Systems, 2023. DOI
  15. Y. Chen, J. Yang, H. Wu, K. Beier, M. Sawan, "Challenges and future trends in wearable closed-loop neuromodulation to efficiently treat methamphetamine addiction", Frontiers in Psychiatry, 2023. DOI
  16. D. Wu, S. Zhao, J. Yang*, M. Sawan, "Software-Hardware Co-Design for Energy-Efficient Continuous HealthMonitoring Via Task-Aware Compression", IEEE Transactions on Biomedical Circuits and Systems, 2023. DOI
  17. F. Tian, J. Yang*, S. Zhao, M. Sawan, "NeuroCARE: A generic neuromorphic edge computing framework for healthcare applications", Frontiers in Neuroscience, 2023. DOI
  18. C. Wang, C. Fang, Y. Zou, J. Yang*, M. Sawan, "Artificial intelligence techniques for retinal prostheses: A comprehensive review and future direction", Journal of Neural Engineering, 2023. DOI
  19. D. Wu, Y. Shi, Z. Wang, J. Yang*, M. Sawan, "C2SP-Net: joint compression and classification network for epilepsy seizure prediction", IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023. DOI
  20. J. Chen, J. Yang*, M. Sawan, "Emerging trends of integrated-mixed-signal chips in ISSCC 2023", Journal of Semiconductors, 2023. DOI

    21. 2022

  21. S. Sun, J. Yang*, Y. Chen, J. Miao, M. Sawan, "EEG Signals Based Internet Addiction Diagnosis Using Convolutional Neural Networks", MDPI Applied Sciences, 2022. DOI
  22. D. Wu, J. Yang*, M. Sawan, "Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation", Journal of Neural Engineering, 2022. DOI
  23. J. Wang, Y. Chen, J. Yang, M. Sawan, "Intelligent Classification Technique of Hand Motor Imagery Using EEG Beta Rebound Follow-Up Pattern", MDPI Biosensors, 2022. DOI
  24. Y. Xu, J. Yang, M. Sawan, "Trends and challenges of processing measurements from wearable devices intended for epileptic seizure prediction", Journal of signal processing systems, 2022. DOI
  25. C. Wang, J. Yang*, M. Sawan, "NeuroSEE: A Neuromorphic Energy-Efficient Processing Framework for Visual Prostheses", IEEE Journal of Biomedical and Health Informatics, 2022. DOI
  26. Y. Xu, J. Yang*, M. Sawan, "Multichannel synthetic preictal eeg signals to enhance the prediction of epileptic seizures", IEEE Transactions on Biomedical Engineering, 2022. DOI
  27. J. Chen, M. Tarkhan, H. Wu, F. Noshahr, J. Yang*, M. Sawan, "Recent trends and future prospects of neural recording circuits and systems: A tutorial brief", IEEE Transactions on Circuits and Systems II: Express Briefs, 2022. DOI
  28. S. Zhao, C. Fang, J. Yang*, M. Sawan, "Emerging energy-efficient biosignal-dedicated circuit techniques: A tutorial brief", IEEE Transactions on Circuits and Systems II: Express Briefs, 2022. DOI

    29. 2021

  29. Z. Wang, J. Yang*, H. Wu, J. Zhu, M. Sawan, "Power efficient refined seizure prediction algorithm based on an enhanced benchmarking", Scientific Reports, 2021. DOI
  30. S. Zhao, J. Yang*, M. Sawan, "Energy-efficient neural network for epileptic seizure prediction", IEEE Transactions on Biomedical Engineering, 2021. DOI

    31. 2020及以前

  31. J. Yang, M. Sawan, "From Seizure Detection to Smart and Fully Embedded Seizure Prediction Engine: A Review", IEEE Transactions on Biomedical Circuits and Systems, 2020. DOI
  32. 李鸿龙, 杨杰, 张忠星, 罗迁, 于双铭, 刘力源, 吴南健, "用于实时目标检测的高速可编程视觉芯片", 红外与激光工程, 2020. DOI
  33. J. Yang, U. Shahnovich, O. Yadid-Pecht, "Mantissa-Exponent-Based Tone Mapping for Wide Dynamic Range Image Sensors", IEEE Transactions on Circuits and Systems II: Express Briefs, 2019. DOI
  34. 杨杰, Orly Yadid-Pecht "用于高动态图像色调映射的算法和硬件", 微纳电子与智能制造, 2019. DOI
  35. J. Yang, A. Hore, O. Yadid-Pecht, "Local tone mapping algorithm and hardware implementation", Electronics Letters, 2018. DOI
  36. J. Yang, Y. Yang, Z. Chen, L. Liu, J. Liu, N. Wu, "A Heterogeneous Parallel Processor for High-Speed Vision Chip", IEEE Transactions on Circuits and Systems for Video Technology, 2018. DOI
  37. Z. Liu, L. Liu, J. Yang, N. Wu, "A CMOS fully integrated 860-GHz terahertz sensor", IEEE Transactions on Terahertz Science and Technology, 2017. DOI
  38. Y. Yang, J. Yang, Z. Zhang, L. Liu, N. Wu, "High-speed visual target tracking with mixed rotation invariant description and skipping searching", Science China Information Science, 2017. DOI
  39. V. Nshunguyimfura, J. Yang, L. Liu, N. Wu, "Property-driven functional verification technique for high-speed vision system-on-chip processor", Japanese Journal of Applied Physics, 2017. DOI
  40. Z. Chen, J. Yang, C. Shi, Q. Qin, L. Liu, N. Wu, "High speed vision processor with reconfigurable processing element array based on full-custom distributed memory", Japanese Journal of Applied Physics, 2016. DOI
  41. Y. Yang, J. Yang, Z. Zhang, L. Liu, N. Wu, "High-speed visual tracking with mixed rotation invariant description", Electronics Letters, 2016. DOI
  42. Y. Yang, J. Yang, L. Liu, N. Wu, "High-Speed Target Tracking System Based on a Hierarchical Parallel Vision Processor and Gray-Level LBP Algorithm", IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2016. DOI
  43. J. Yang, C. Shi, L. Liu, J. Liu, N. Wu, "Pixel-parallel feature detection on vision chip", Electronics Letters, 2014. DOI
  44. C. Shi, J. Yang, L. Liu, N. Wu, Z. Wang, "A massively parallel keypoint detection and description (MP-KDD) algorithm for high-speed vision chip", Science China Information Science, 2014. DOI
  45. C. Shi, J. Yang, Y. Han, Z. Cao, Q. Qin, L. Liu, N. Wu, Z. Wang, "A 1000 fps Vision Chip Based on a Dynamically Reconfigurable Hybrid Architecture Comprising a PE Array Processor and Self-Organizing Map Neural Network", IEEE Journal of Solid-State Circuits, 2014. DOI
  46. S. Cong, C. Zhe, Y. Jie, W. Nanjian, W. Zhihua, "A compact PE memory for vision chips", Journal of Semiconductors, 2014. DOI
  47. C. Shi, J. Yang, N. Wu, Z. Wang, "A high speed multi-level-parallel array processor for vision chips", Science China Information Sciences, 2014. DOI
  48. J. Yang, C. Shi, L. Liu, N. Wu, "Heterogeneous vision chip and LBP-based algorithm for high-speed tracking", Electronics Letters, 2014. DOI

会议论文(*代表通信作者)

    2024

  1. J. Wang, C. Fang, Z. Shen, J. Yang, M. Sawan, "Live Demonstration: Low-energy Unstructured Sparsity-aware Spiking Attention and Convolution SNN Accelerator", 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) , 2024.DOI
  2. W. Zou, R. Eskandari, X. Liu, J. Chen, Y. Ye, H. Wu, J. Yang, M. Sawan, "A 34 μW and 3.4 pJ/b IR-UWB Transmitter Featuring Spectrum Tunability for Brain-Machine Interfaces", 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) , 2024.DOI
  3. X. Liu, W. Zou, H. Wu, J. Chen, J. Yang, M. Sawan, "A Reconfigurable RF Energy Harvesting Front-end Interface for Biomedical Applications", 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) , 2024.DOI
  4. Y. Xu, J. Wang, Y. Chen, J. Yang, W. Ming, S. Wang, M. Sawan, "VSViG: Real-Time Video-Based Seizure Detection via Skeleton-Based Spatiotemporal ViG", 2024 European Conference on Computer Vision (ECCV) , 2024.DOI
  5. Z. Shen, X. Xie, C. Fang, F. Tian, S. Ma, J. Yang, M. Sawan, "NeuroSORT: A Neuromorphic Accelerator for Spike-based Online and Real-time Tracking", 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS) , 2024.DOI
  6. F. Tian, J. Zheng, J. He, J. Chen, X. Wang, C. Fang, J. Yang, M. Sawan, C. Tsui, K. Cheng, "BOLS: A Bionic Sensor-direct On-chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring", 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.DOI
  7. J. Chen, H. Wu, F. Tian, Q. Hou, S. Lin, J. Yang*, M. Sawan*, "A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications", 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.DOI
  8. C. Fang, F. Tian, J. Yang*, M. Sawan*, "Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture", 2024 IEEE International Symposium on Circuits and Systems (ISCAS), 2024.DOI
  9. J. Chen, H. Wu, R. Eskandari, X. Liu, S. Lin, Q. Hou, F. Tian, W. Zou, J. Yang*, M. Sawan*, "A Neuron-Inspired 0.0032mm2−1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission", 2024 IEEE Custom Integrated Circuits Conference (CICC), 2024.DOI
  10. C. Fang, Z. Yang, S. Zhao, C. Wang, F. Tian, J. Yang*, M. Sawan*, "A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array", 2024 IEEE Custom Integrated Circuits Conference (CICC), 2024.DOI
  11. C. Wang, D. Wu, C. Fang, J. Yang*, M. Sawan*, "Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses", 2024 The Twelfth International Conference on Learning Representations (ICLR), 2024.DOI

    12. 2023

  12. D. Wu, J. Yang*, M. Sawan*, "Task-aware Compression for Wearable Sensor Data", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  13. F. Tian, S. Zhao, J. He, J. Chen, X. Wang, J. Yang, M. Sawan, C. Tsui, K. Tim, "NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  14. H. Li, F. Tian, J. Yang, M. Sawan, N. El-Atab, "NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  15. J. Chen, X. Liu, H. Wu, F. Tian, W. Zou, M. Katebi, R. Eskandari, J. Yang*, M. Sawan*, "A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  16. T. Li, J. Yang, T. Liu, S. Dong, W. Chen, S. Zhang, "A Sparsity-Adapted Hardware Implementation of SNN for Cortical Spike Trains Decoding", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  17. W. Zou, R. Eskandari, X. Liu, J. Chen, J. Yang*, M. Sawan*, "Wireless Data Transceivers for Brain-machine Interfaces", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  18. J. Wang, S. Zhao, J. Yang*, M. Sawan "An Event-driven Neural Signal Processor for Closed-loop Seizure Prediction", 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2023.DOI
  19. F. Tian, X. Wang, J. Chen, J. Zheng, H. Wu, X. Liu, F. Tu, J. Yang, M. Sawan, C. Tsui, "BIOS: A 40nm Bionic Sensor-defined 0.47 pJ/SOP, 268.7 TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare", ESSCIRC 2023-IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023. DOI
  20. J. Wang, S. Zhao, C. Fang, J. Yang*, M. Sawan, "Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. DOI
  21. H. Li, A. Lone, F. Tian, J. Yang, M. Sawan, N. El-Atab, "Novel Knowledge Distillation to Improve Training Accuracy of Spin-based SNN", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. DOI
  22. Z. Shen, C. Fang, F. Tian, J. Yang*, M. Sawan, "PN-TMS: Pruned Node-fusion Tree-based Multicast Scheme for Efficient Neuromorphic Systems", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. DOI
  23. J. Chen, H. Wu, X. Liu, R. Eskandari, F. Tian, W. Zou, C. Fang, J. Yang*, M. Sawan, "NeuroBMI: A New Neuromorphic Implantable Wireless Brain Machine Interface with A 0.48 µW Event-Driven Noise-Tolerant Spike Detector", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. DOI
  24. F. Tian, X. Wang, J. Chen, J. Yang, M. Sawan, C. Tsui, K. Cheng, "Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. DOI
  25. J. He, Z. Shen, F. Tian, J. Chen, J. Yang, M. Sawan, T. Cheng, P. Bogdan, C. Tsui, "SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks", 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023. DOI
  26. Z. Shen, F. Tian, J. Jiang, C. Fang, X. Xue, J. Yang*, M. Sawan, "NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence", 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 2023. DOI

    27. 2022

  27. F. Xia, Z. Zhang, J. Yang*, M. Sawan, "Compact Power Front-end Management for Wireless Supply of Multi-voltages to Neuromodulators", 2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2022. DOI
  28. J. Chen, H. Wu, J. Yang*, M. Sawan, "A 97 fJ/Conversion Neuron-ADC with Reconfigurable Sampling and Static Power Reduction", 2022 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2022. DOI
  29. C. Fang, F. Tian, C. Wang, J. Yang*, M. Sawan, "A 217.8 MSOPs/W FPGA-based Online Learning SNN Processor Using Unified Event-Driven Structure and Topology Aware Data Reuse Strategies", 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2022. DOI
  30. H. Wu, J. Chen, J. Yang*, M. Sawan, "A Low-Power Low-Pass Filter for Noise Suppression in Chopped Bioamplifiers", 2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT), 2022. DOI
  31. S. Zhao, D. Wu, J. Yang*, M. Sawan, "A Resource-Efficient and Data-Restricted Training Method Towards Neurological Symptoms Prediction", 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022. DOI
  32. H. Wu, X. Liu, J. Yang*, M. Sawan, "A Power-Efficient Source-Follower Based Tunable Pseudo-RC Low-Pass Filter for Wearable Biomedical Applications", 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), 2022. DOI
  33. N. Li, J. Yang*, M. Sawan, "Compact Closed-loop EEG/fNIRS Recording and TMS Neuromodulation System", 2022 20th IEEE Interregional NEWCAS Conference (NEWCAS), 2022. DOI
  34. J. Yang, N. Li, Y. Chen, M. Sawan, "Towards Intelligent Noninvasive Closed-loop Neuromodulation Systems", 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022. DOI
  35. H. Li, J. Wang, S. Zhao, F. Tian, J. Yang*, M. Sawan, "Real-time Biosignal Recording and Machine-Learning Analysis System", 2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2022. DOI
  36. D. Wu, J. Yang, M. Sawan, "Towards Task-aware Signal Compression for Efficient Continuous Health Monitoring", 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022. DOI
  37. C. Fang, Z. Shen, F. Tian, J. Yang*, M. Sawan, "A Compact Online-Learning Spiking Neuromorphic Biosignal Processor", 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022. DOI
  38. J. Chen, F. Tian, J. Yang*, M. Sawan, "An event-driven compressive neuromorphic system for cardiac arrhythmia detection", 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022. DOI

    39. 2021

  39. Z. Wang, J. Yang*, M. Sawan, "A Novel Multi-scale Dilated 3D CNN for Epileptic Seizure Prediction", 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2021. DOI
  40. F. Tian, J. Yang*, S. Zhao, M. Sawan, "A New Neuromorphic Computing Approach for Epileptic Seizure Prediction", 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 2021. DOI

    41. 2020以及更早

  41. S. Zhao, J. Yang*, Y. Xu, M. Sawan, "Binary Single-Dimensional Convolutional Neural Network for Seizure Prediction", 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020. DOI
  42. Y. Xu, J. Yang*, S. Zhao, H. Wu, M. Sawan, "An End-to-End Deep Learning Approach for Epileptic Seizure Prediction", 2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2020. DOI
  43. M. Lin, J. Yang, O. Yadid-Pecht, "Deep Single Image Enhancer", 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2019. DOI
  44. Jie Yang, Douglas McDonald, Ulian Shahnovich, and Orly Yadid-Pecht, "Mobile GPU implementation of wide dynamic range image compression based on multi-scale histogram synthesis,", Electronics Imaging, 2018. DOI
  45. J. Yang, A. Horé, U. Shahnovich, K. Lai, S. Yanushkevich, O. Yadid-Pecht, "Multi-Scale histogram tone mapping algorithm enables better object detection in wide dynamic range images", Advanced Video and Signal Based Surveillance (AVSS), 2017 14th IEEE International Conference on, 2017. DOI
  46. H. Zheng, J. Yang, J. Chen, "A performance evaluation method for infrared tracker", 2017 International Conference on Image and Vision Computing New Zealand (IVCNZ), 2017. DOI
  47. J. Yang, A. Hore, U. Shahnovich, O. Yadid-Pecht, "Multi-Scale histogram tone mapping algorithm for display of wide dynamic range images", 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2017. DOI
  48. Z. Liu, L. Liu, J. Yang, N. Wu, "A fully-integrated 860-GHz CMOS terahertz sensor", 2015 IEEE Asian Solid-State Circuits Conference (A-SSCC), 2015. DOI
  49. Z. Zhang, J. Yang, H. Li, L. Liu, J. Liu, N. Wu, "High-speed object detection based on a hierarchical parallel vision chip", 2015 IEEE 11th International Conference on ASIC (ASICON), 2015. DOI
  50. V. Nshunguyimfura, J. Yang, L. Liu, N. Wu, "An efficient layered ABV methodology for vision system on chip based on heterogeneous parallel processors", 2015 IEEE 11th International Conference on ASIC (ASICON), 2015. DOI
  51. H. Li, Z. Zhang, J. Yang, L. Liu, N. Wu, "A novel vision chip architecture for image recognition based on convolutional neural network", 2015 IEEE 11th International Conference on ASIC (ASICON), 2015. DOI
  52. Z. Chen, J. Yang, L. Liu, N. Wu, "Enhanced memory architecture for massively parallel vision chip", Selected Papers from Conferences of the Photoelectronic Technology Committee of the Chinese Society of Astronautics 2014, Part II, 2015. DOI
  53. B. Li, J. Yang, Y. Yang, N. Wu, "A high speed vision processor for chip package visual inspection", 2014 12th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT), 2014. DOI
  54. C. Shi, J. Yang, Y. Han, Z. Cao, Q. Qin, L. Liu, N. Wu, Z. Wang, "7.3 a 1000fps vision chip based on a dynamically reconfigurable hybrid architecture comprising a pe array and self-organizing map neural network", Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2014 IEEE International, 2014. DOI
  55. J. Yang, C. Shi, Z. Cao, Y. Han, L. Liu, N. Wu, "Smart image sensing system", 2013 IEEE Sensors Conference, 2013. DOI
  56. Z. Chen, J. Yang, C. Shi, N. Wu, "A novel architecture of local memory for programmable SIMD vision chip", 2013 IEEE 10th International Conference on ASIC, 2013. DOI