楊超然
博士，研究員，研究組組長
Email: yangchaoran@@www.plm-bat.com
主要研究方向:
類腦計(jì)算模型與系統(tǒng)、機(jī)器人視覺感知與控制、視覺-語言模型
目前致力于開發(fā)基于類腦計(jì)算及深度學(xué)習(xí)的開放環(huán)境視覺智能機(jī)器人算法-軟件-芯片優(yōu)化系統(tǒng)及關(guān)鍵技術(shù)。
個(gè)人簡介:
2016年畢業(yè)于澳門大學(xué)電機(jī)與電子工程系、模擬與混合信號(hào)超大規(guī)模集成電路國家重點(diǎn)實(shí)驗(yàn)室，從事超低功耗CMOS心電圖檢測算法及專用數(shù)字處理器芯片的研究，獲哲學(xué)博士學(xué)位。曾任澳門大學(xué)模擬與混合信號(hào)超大規(guī)模集成電路國家重點(diǎn)實(shí)驗(yàn)室技術(shù)員、職能主管。2017-2023年在深圳市華為技術(shù)有限公司從事昇騰AI處理器、深度學(xué)習(xí)算法與系統(tǒng)、圖像與視頻檢測分析、數(shù)字人與具身智能、自動(dòng)駕駛鳥瞰環(huán)視視覺感知等研究、開發(fā)工作，并負(fù)責(zé)多項(xiàng)與知名高校的技術(shù)研究合作。
曾獲ISSCC參與贊助獎(jiǎng)、第三屆華為公司十大發(fā)明獎(jiǎng)等獎(jiǎng)項(xiàng)。發(fā)表SCI期刊及國際會(huì)議論文20篇，中國專利3項(xiàng)，美國、歐洲專利各1項(xiàng)。相關(guān)研究成果在IEEE Transactions on Biomedical Circuits and Systems, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, International Solid-State Circuits Conference (ISSCC) SRP, IEEE International Conference on Consumer Electronics (ICCE), Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)等期刊與會(huì)議上發(fā)表。其中發(fā)表于“IEEE Transactions on Biomedical Circuits and Systems”的關(guān)于“超低功耗心電圖 QRS 波檢測處理器架構(gòu)”的學(xué)術(shù) 論文被兩篇Nature Scientific期刊論文、一本學(xué)術(shù)專著書籍，以及該子領(lǐng)域論文廣泛引用。
研究組簡介:
自然界中生物的智能存在于其身體之中，而身體則存在于三維物理世界中。具身智能研究的動(dòng)機(jī)是將智能置于三維物理世界的真實(shí)約束中，關(guān)注智能體的看、聽、說、推理和行動(dòng)，以更“類人”的方式對(duì)環(huán)境進(jìn)行感知、理解、交互，并獲取知識(shí)。具身智能這一場景約束具有普遍性，同時(shí)使得智能的研究更具針對(duì)性。具身智能領(lǐng)域吸引來自計(jì)算機(jī)視覺、語言、圖形和機(jī)器人等跨學(xué)科的研究人員，包括李飛飛等知名研究者，解決具身智能領(lǐng)域的共同問題，推進(jìn)數(shù)字人與機(jī)器人、自動(dòng)駕駛、人機(jī)交互等多個(gè)領(lǐng)域的發(fā)展。近期，語言基礎(chǔ)模型的發(fā)展為基于自然語言模型的推理能力帶來了顯著提升，為視覺-語言模型提供了新機(jī)會(huì)。課題組期望結(jié)合視覺感知和語言推理能力，以應(yīng)對(duì)現(xiàn)實(shí)世界中復(fù)雜多樣的場景挑戰(zhàn)。
類腦計(jì)算是一種創(chuàng)新的計(jì)算技術(shù)，它借鑒了腦科學(xué)的基本原理，從算法層面模擬人腦神經(jīng)元和突觸的信息處理機(jī)制，并在芯片架構(gòu)上突破傳統(tǒng)“馮諾依曼”架構(gòu)的限制，被普遍認(rèn)為具有高能源效率的顯著特點(diǎn)。近期，類腦計(jì)算取得了進(jìn)一步的發(fā)展。如IBM繼True North類腦AI芯片后，在2023年第四季發(fā)布了North Pole芯片，其在ResNet-50模型上測試的能效是相同工藝GPU競品的25倍； Intel推出了Lolhi 2類腦芯片；OpenAI對(duì)類腦芯片進(jìn)行了投資；Science Robotics期刊發(fā)表多篇類腦計(jì)算與仿生機(jī)器人的文章；世界多國以及我國的腦計(jì)劃也大力支持新型類腦芯片及計(jì)算系統(tǒng)的研發(fā)。
具身智能機(jī)器人在開放環(huán)境中的應(yīng)用需要解決三維空間中復(fù)雜物體的感知與操作問題，以及如何在本地實(shí)現(xiàn)高性能、高能效智能計(jì)算的問題。因此，本課題組目前專注于類腦視覺算法與系統(tǒng)、基于視覺-語言模型的具身智能機(jī)器人的技術(shù)研究，同時(shí)也致力于相關(guān)軟硬件優(yōu)化系統(tǒng)的研發(fā)。期望通過視覺-語言模型解決具身智能機(jī)器人的多樣復(fù)雜場景適應(yīng)問題，以及通過類腦計(jì)算與軟硬件優(yōu)化系統(tǒng)解決機(jī)器人本地算力的高效計(jì)算問題。
本課題組招聘博士后、工程師、實(shí)習(xí)生（軟硬件系統(tǒng)、FPGA/ASIC、AI Processor、視覺計(jì)算、機(jī)器人學(xué)習(xí)、類腦算法），感興趣的同學(xué)，請(qǐng)郵件聯(lián)系。
代表論著：
International Journal Papers
[1] Boyu Zheng, et.al. "A Scheme for Solving Fuzzy Motion Planning for Manipulators", Submitted to IEEE Transactions on Systems, Man, and Cybernetics, 2024.
[2] Boyu Zheng, et.al. "A Hybrid-Gain ZNN and Its Application in Robotic Arm", Submitted to IEEE Transactions on Neural Networks and Learning Systems, 2024.
[3] Xie, Xinyu, et al. "Fusionmamba: Dynamic feature enhancement for multimodal image fusion with mamba." arXiv preprint arXiv:2404.09498, 2024.
[4] L. Zhao, R. Xu, T. Wang, T. Tian, X. Wang, W. Wu, C. Ieong, X. Jin, "BaPipe: Balanced Pipeline Parallelism for DNN Training", Parallel Processing Letters, 2022.
[5] Chio-In Ieong, Mingzhong Li, Man-Kay Law, Pui-In Mak, Mang I Vai, and Rui P. Martins, “A 0.45-V 147-to-375 nW ECG Compression Processor with Wavelet Shrinkage and Adaptive Temporal Decimation Architectures”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Apr. 2017.
[6] Ming-Zhong Li, Chio-In Ieong, Man-Kay Law, Pui-In Mak, Mang-I Vai, Sio-Hang Pun, and Rui P. Martins, "Energy Optimized Subthreshold VLSI Logic Family With Unbalanced Pull-Up/Down Network and Inverse Narrow-Width Techniques," IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 23, no. 12, pp. 3119-3123, Dec. 2015.
[7] Chio-In Ieong, Pui-In Mak, Chi-Pang Lam, Cheng Dong, Mang-I Vai, Peng-Un Mak, Sio-Hang Pun, Feng Wan, and Rui P. Martins, "A 0.83-μW QRS Detection Processor Using Quadratic Spline Wavelet Transform for Wireless ECG Acquisition in 0.35-μm CMOS," IEEE Transactions on Biomedical Circuits and Systems, vol. 6, pp. 586-595, Dec. 2012. [Leading work in its field. Citations (Google Scholar)= 137 including citations from a book and two Nature Scientific Reports.]
International Conference Papers
[8] Hang Yu, et. al., “SDP: Spiking Diffusion Policy for Robotic Arm Action Generation”, China Biomedical Engineering Conference, oral presentation, accepted, 2024.
[9] “SDP: Spiking Diffusion Policy for Robotic Manipulation with Learnable Channel-wise Membrane Thresholds”, Nature Conference on Neuromorphic Computing, 2024, accepted.
[10] Chio-In Ieong, Mingzhong Li, Man-Kay Law, Pui-In Mak, Mang I Vai and Rui P. Martins, “A 0.45V 147-to-375nW Hardware-Efficient Real-Time ECG Processor with Lossless-to-Lossy Data Compression for Wireless Healthcare Wearables”, Presentation at the 2016 International Solid-State Circuits Conference (ISSCC 2016) Student Research Preview session, Jan. 2016, San Francisco, United States.
[11] Chio-In Ieong, Pui-In Mak, Mang-I Vai and Rui P. Martins, “Sub-μW QRS Detection Processor Using Quadratic Spline Wavelet Transform and Maxima Modulus Pair Recognition for Power-Efficient Wireless Arrhythmia Monitoring”, in Proc. of The 21st Asia and South Pacific Design Automation Conference - University Design Contest (ASP-DAC UDC 2016), Jan. 2016, Macau, China.
[12] Chio-In Ieong, Mingzhong Li, Man-Kay Law, Pui-In Mak, Mang I Vai, Peng-Un Mak, Feng Wan, Rui P. Martins, "Standard cell library design with voltage scaling and transistor sizing for ultra-low-power biomedical applications," in Proc. of 2013 IEEE International Conference of Electron Devices and Solid-State Circuits (EDSSC), Jun. 2013, Hong Kong, China
[13] Ming-zhong Li, Chio-In Ieong, Man-Kay Law, Pui-In Mak, Mang I Vai, and Rui P. Martins, "Sub-threshold standard cell library design for ultra-low power biomedical applications," in Proc. of 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 1454-1457, Jul. 2013, Osaka, Japan
[14] Chio-In Ieong, C. Dong, W. Nan, A. Rosa, R. Guimar?es, M.-I Vai, P. U. Mak, “A snoring classifier based on Heart Rate Variability analysis”, Computing in Cardiology, pp. 345-348, Sep. 2011.
[15] Chio-In Ieong, Mang I Vai, Peng-Un Mak, and Pui-In Mak, "ECG heart beat detection via Mathematical Morphology and Quadratic Spline wavelet transform," in Proc. of 2011 IEEE International Conference on Consumer Electronics (ICCE), 2011, pp. 609-610, Jan. 2011, Las Vegas, USA
[16] Chio In Ieong, Mang I Vai, and Peng Un Mak, “ECG QRS Complex Detection with Programmable Hardware”, in Proc. of The 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2008). 2008: Vancouver, Canada.
[17] Chio In Ieong, Feng Wan, Mang I Vai, Peng Un Mak, “QRS Complex Detector Using Artificial Neural Network”, in Proc. of the 4th Regional Inter-University Postgraduate Electrical and Electronics Engineering Conference (RIUPEEEC2006). 2006: Macau SAR., China. [My 1st paper, NN for detection]
Patents
[18] Zhenjiang Dong, Chio-In Ieong, Hu Liu, Hai Chen, "Matrix processing method and device and logic circuit", US11734386B2, CN111010883B
[19] Zhenjiang Dong, Chio-In Ieong, Hu Liu, Hai Chen, "Convolutional Method and Device for Neural Network", CN112106034A
[20] Chenglin Zheng, Chio-In Ieong, Hai Chen, "Image processing method and apparatus based on convolutional neural network", CN110321996B
