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2020 – today
- 2024
[j24]Ruixin Li, Guoxu Zhao, Dylan Richard Muir, Yuya Ling, Karla Burelo, Mina Khoe, Dong Wang, Yannan Xing, Ning Qiao:
Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor. Comput. Biol. Medicine 183: 109225 (2024)- [j23]Jilin Zhang
, Dexuan Huo, Jian Zhang, Chunqi Qian, Qi Liu, Liyang Pan, Zhihua Wang, Ning Qiao, Kea-Tiong Tang, Hong Chen:
ANP-I: A 28-nm 1.5-pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-0.1-μ J/Sample On-Chip Learning for Edge-AI Applications. IEEE J. Solid State Circuits 59(8): 2717-2729 (2024) - [j22]Ole Richter, Chenxi Wu, Adrian M. Whatley, German Köstinger, Carsten Nielsen, Ning Qiao, Giacomo Indiveri:
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor. Neuromorph. Comput. Eng. 4(1): 14003 (2024) - [j21]Ning Qiao, Shuang-xi Zhang, Shuo Zhang, Qinglei Du, Yongliang Wang:
A Novel Non-Stationary Clutter Suppression Approach for Space-Based Early Warning Radar Using an Interpulse Multi-Frequency Mode. Remote. Sens. 16(2): 314 (2024) - [j20]Shuo Zhang, Shuang-xi Zhang, Ning Qiao, Yongliang Wang, Qinglei Du:
Modelling and Mitigating Wind Turbine Clutter in Space-Air Bistatic Radar. Remote. Sens. 16(14): 2674 (2024) - [c21]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. ICML 2024 - [i16]Hongzhi You, Yijun Cao, Wei Yuan, Fanjun Wang, Ning Qiao, Yongjie Li:
Vector-Symbolic Architecture for Event-Based Optical Flow. CoRR abs/2405.08300 (2024) - [i15]Jiakui Hu, Man Yao, Xuerui Qiu, Yuhong Chou, Yuxuan Cai, Ning Qiao, Yonghong Tian, Bo Xu, Guoqi Li:
High-Performance Temporal Reversible Spiking Neural Networks with O(L) Training Memory and O(1) Inference Cost. CoRR abs/2405.16466 (2024) - 2023
- [j19]Qiao Ning, Yaomiao Zhao, Jun Gao, Chen Chen, Xiang Li, Tingting Li, Minghao Yin:
AMHMDA: attention aware multi-view similarity networks and hypergraph learning for miRNA-disease associations identification. Briefings Bioinform. 24(2) (2023) - [j18]Chunguo Zhou, Ning Qiao, Jin Mao, Zhicheng Zeng, Yongjun Zhou:
Adaptive cruise control method based on improved grey prediction. J. Intell. Fuzzy Syst. 44(1): 543-553 (2023) - [j17]Ning Qiao, Shuang-xi Zhang, Tianfu Zhang, Yongliang Wang:
Clutter Characteristic Analysis and Grating Lobe Suppression for Distributed Small Satellite Space-Based Early Warning Radar. IEEE Trans. Aerosp. Electron. Syst. 59(6): 7977-7992 (2023) - [c20]Ning Qiao, Chunning He, Bo Ning, Haidong Chen, Chao Zhang, Jisheng Zhang, Jing Zhang:
Based on LSTM thermal power enterprises monthly rolling matching trading bidding strategy. BDEIM 2023: 61-65 - [c19]Lexuan Xu, Guang Hua, Haijian Zhang, Lei Yu, Ning Qiao:
"Seeing" Electric Network Frequency from Events. CVPR 2023: 18022-18031 - [c18]Jilin Zhang, Dexuan Huo, Jian Zhang, Chunqi Qian, Qi Liu, Liyang Pan, Zhihua Wang, Ning Qiao, Kea-Tiong Tang, Hong Chen:
ANP-I: A 28nm 1.5pJ/SOP Asynchronous Spiking Neural Network Processor Enabling Sub-O.1 μJ/Sample On-Chip Learning for Edge-AI Applications. ISSCC 2023: 336-337 - [i14]Lu Jiang, Yuanhan Li, Na Luo, Jianan Wang, Qiao Ning:
A Multi-Source Information Learning Framework for Airbnb Price Prediction. CoRR abs/2301.01222 (2023) - [i13]Ole Richter, Yannan Xing, Michele De Marchi, Carsten Nielsen, Merkourios Katsimpris, Roberto Cattaneo, Yudi Ren, Qian Liu, Sadique Sheik, Tugba Demirci, Ning Qiao:
Speck: A Smart event-based Vision Sensor with a low latency 327K Neuron Convolutional Neuronal Network Processing Pipeline. CoRR abs/2304.06793 (2023) - [i12]Ole Richter, Chenxi Wu, Adrian M. Whatley, German Köstinger, Carsten Nielsen, Ning Qiao, Giacomo Indiveri:
DYNAP-SE2: a scalable multi-core dynamic neuromorphic asynchronous spiking neural network processor. CoRR abs/2310.00564 (2023) - 2022
- [j16]Lu Jiang, Jiahao Sun, Yue Wang, Qiao Ning, Na Luo, Minghao Yin:
Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities. Briefings Bioinform. 23(2) (2022) - [j15]Qiao Ning, Jinmou Li:
DLF-Sul: a multi-module deep learning framework for prediction of S-sulfinylation sites in proteins. Briefings Bioinform. 23(5) (2022) - [j14]Qiao Ning, Zedong Qi, Yue Wang, Ansheng Deng, Chen Chen:
FCCCSR_Glu: a semi-supervised learning model based on FCCCSR algorithm for prediction of glutarylation sites. Briefings Bioinform. 23(6) (2022) - [j13]Qing Wan, Changjin Wan, Huaqiang Wu, Yuchao Yang, Xiaohe Huang, Peng Zhou, Lin Chen, Tian-Yu Wang, Yi Li, Kanhao Xue, Yu-Hui He, Xiangshui Miao, Xi Li, Chenchen Xie, Houpeng Chen, Zhitang Song, Hong Wang, Yue Hao, Junyao Zhang, Jia Huang, Zheng Yu Ren, Li Qiang Zhu, Jianyu Du, Chen Ge, Yang Liu, Guanglong Ding, Ye Zhou, Su-Ting Han, Guosheng Wang, Xiao Yu, Bing Chen, Zhufei Chu, Lunyao Wang, Yinshui Xia, Chen Mu, Feng Lin, Chixiao Chen, Bojun Cheng, Yannan Xing, Weitao Zeng, Hong Chen, Lei Yu, Giacomo Indiveri, Ning Qiao:
2022 roadmap on neuromorphic devices and applications research in China. Neuromorph. Comput. Eng. 2(4): 42501 (2022) - [j12]Qiao Ning, Zhiqiang Ma, Xiaowei Zhao, Minghao Yin:
SSKM_Succ: A Novel Succinylation Sites Prediction Method Incorporating K-Means Clustering With a New Semi-Supervised Learning Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19(1): 643-652 (2022) - [j11]Qiao Ning, Xiaowei Zhao, Zhiqiang Ma:
A Novel Method for Identification of Glutarylation Sites Combining Borderline-SMOTE With Tomek Links Technique in Imbalanced Data. IEEE ACM Trans. Comput. Biol. Bioinform. 19(5): 2632-2641 (2022) - [c17]Wei Liao, Xiang Zhang, Lei Yu, Shijie Lin, Wen Yang, Ning Qiao:
Synthetic Aperture Imaging with Events and Frames. CVPR 2022: 17714-17723 - [c16]Lu Jiang, Yuanhan Li, Na Luo, Jianan Wang, Qiao Ning:
A Multi-Source Information Learning Framework for Airbnb Price Prediction. ICDM (Workshops) 2022: 1-7 - [c15]Chao Zhang, Ning Qiao, Zhiyong Shi, Xiaoning Ye, Si Wu, Yang Xu, Hongyu Long:
Tradeoff Analysis Based on Various Indicators for The Electricity Trading. ICITEE 2022: 477-481 - [d1]Chunguo Zhou, Ning Qiao, Jin Mao, Zhicheng Zeng, Yongjun Zhou:
Improved method of grey prediction adaptive cruise control. IEEE DataPort, 2022
- 2021
- [j10]Tianfu Zhang, Zhihao Wang, Ning Qiao, Shuang-xi Zhang, Mengdao Xing, Yongliang Wang:
A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 11217-11228 (2021) - [j9]Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri:
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 45-56 (2021) - [c14]Lu Jiang, Jiahao Sun, Yue Wang, Qiao Ning, Na Luo, Minghao Yin:
Heterogeneous Graph Convolutional Network integrates Multi-modal Similarities for Drug-Target Interaction Prediction. BIBM 2021: 137-140 - 2020
- [j8]Junsuo Qu, Haonan Shi, Ning Qiao, Chen Wu, Chang Su, Abolfazl Razi:
New three-dimensional positioning algorithm through integrating TDOA and Newton's method. EURASIP J. Wirel. Commun. Netw. 2020(1): 77 (2020) - [j7]Junsuo Qu, Ning Qiao, Haonan Shi, Chang Su, Abolfazl Razi:
Convolutional neural network for human behavior recognition based on smart bracelet. J. Intell. Fuzzy Syst. 38(5): 5615-5626 (2020) - [i11]Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri:
Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence. CoRR abs/2006.14270 (2020)
2010 – 2019
- 2019
- [j6]Qiao Ning, Miao Yu, Jinchao Ji, Zhiqiang Ma, Xiaowei Zhao:
Analysis and prediction of human acetylation using a cascade classifier based on support vector machine. BMC Bioinform. 20(1): 346:1-346:15 (2019) - [j5]Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri:
Neural State Machines for Robust Learning and Control of Neuromorphic Agents. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 679-689 (2019) - [c13]Dongchen Liang, Raphaela Kreiser, Carsten Nielsen, Ning Qiao, Yulia Sandamirskaya, Giacomo Indiveri:
Robust Learning and Recognition of Visual Patterns in Neuromorphic Electronic Agents. AICAS 2019: 71-75 - [c12]Qian Liu, Ole Richter, Carsten Nielsen, Sadique Sheik, Giacomo Indiveri, Ning Qiao:
Live Demonstration: Face Recognition on an Ultra-Low Power Event-Driven Convolutional Neural Network ASIC. CVPR Workshops 2019: 1680-1681 - [c11]Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. ICRA 2019: 9631-9637 - [c10]Federico Corradi, Sandeep Pande, Jan Stuijt, Ning Qiao, Siebren Schaafsma, Giacomo Indiveri, Francky Catthoor:
ECG-based Heartbeat Classification in Neuromorphic Hardware. IJCNN 2019: 1-8 - [i10]Ning Qiao, Giacomo Indiveri:
A clock-less ultra-low power bit-serial LVDS link for Address-Event multi-chip systems. CoRR abs/1908.06532 (2019) - [i9]Ning Qiao, Giacomo Indiveri:
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems. CoRR abs/1908.06545 (2019) - [i8]Ning Qiao, Giacomo Indiveri:
Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies. CoRR abs/1908.07411 (2019) - [i7]Ning Qiao, Giacomo Indiveri, Chiara Bartolozzi:
Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits. CoRR abs/1908.07412 (2019) - [i6]Ning Qiao, Giacomo Indiveri:
A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems. CoRR abs/1908.07413 (2019) - [i5]Ning Qiao, Giacomo Indiveri:
Analog circuits for mixed-signal neuromorphic computing architectures in 28 nm FD-SOI technology. CoRR abs/1908.07874 (2019) - 2018
- [j4]Qiao Ning, Xiaosa Zhao, Lingling Bao, Zhiqiang Ma, Xiaowei Zhao:
Detecting Succinylation sites from protein sequences using ensemble support vector machine. BMC Bioinform. 19(1): 237:1-237:9 (2018) - [j3]Saber Moradi, Qiao Ning, Fabio Stefanini, Giacomo Indiveri:
A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs). IEEE Trans. Biomed. Circuits Syst. 12(1): 106-122 (2018) - [c9]Ning Qiao, Giacomo Indiveri:
A Clock-Less Ultra-Low Power Bit-Serial LVDS Link for Address-Event Multi-chip Systems. ASYNC 2018: 93-101 - [c8]Ning Qiao, Giacomo Indiveri:
A bi-directional Address-Event transceiver block for low-latency inter-chip communication in neuromorphic systems. ISCAS 2018: 1-5 - [i4]Chetan Singh Thakur, Jamal Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings:
Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. CoRR abs/1805.08932 (2018) - [i3]Sebastian Glatz, Julien N. P. Martel, Raphaela Kreiser, Ning Qiao, Yulia Sandamirskaya:
Adaptive motor control and learning in a spiking neural network realised on a mixed-signal neuromorphic processor. CoRR abs/1810.10801 (2018) - 2017
- [j2]Qiao Ning, Chiara Bartolozzi, Giacomo Indiveri:
An Ultralow Leakage Synaptic Scaling Homeostatic Plasticity Circuit With Configurable Time Scales up to 100 ks. IEEE Trans. Biomed. Circuits Syst. 11(6): 1271-1277 (2017) - [c7]Carsten Nielsen, Ning Qiao, Giacomo Indiveri:
A compact ultra low-power pulse delay and extension circuit for neuromorphic processors. BioCAS 2017: 1-4 - [i2]Saber Moradi, Qiao Ning, Fabio Stefanini, Giacomo Indiveri:
A scalable multi-core architecture with heterogeneous memory structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs). CoRR abs/1708.04198 (2017) - [i1]Qiao Ning, Chiara Bartolozzi, Giacomo Indiveri:
An ultra-low leakage synaptic scaling homeostatic plasticity circuit with configurable time scales up to 100 kilo-seconds. CoRR abs/1709.05633 (2017) - 2016
- [c6]Ning Qiao, Giacomo Indiveri, Chiara Bartolozzi:
Automatic gain control of ultra-low leakage synaptic scaling homeostatic plasticity circuits. BioCAS 2016: 156-159 - [c5]Ning Qiao, Giacomo Indiveri:
An auto-scaling wide dynamic range current to frequency converter for real-time monitoring of signals in neuromorphic systems. BioCAS 2016: 160-163 - [c4]Ning Qiao, Giacomo Indiveri:
Scaling mixed-signal neuromorphic processors to 28 nm FD-SOI technologies. BioCAS 2016: 552-555 - [c3]Dora Sumislawska, Qiao Ning, Michael Pfeiffer, Giacomo Indiveri:
Wide dynamic range weights and biologically realistic synaptic dynamics for spike-based learning circuits. ISCAS 2016: 2491-2494 - 2015
- [c2]Zhong-Shan Zheng, Zhen-Tao Li, Ning Qiao, Kai Zhao, Fang Yu, Jia-Jun Luo:
Comparison of decoupling resistors and capacitors for increasing the single event upset resistance of SRAM cells. ASICON 2015: 1-3 - 2014
- [c1]Giovanni Rovere, Qiao Ning, Chiara Bartolozzi, Giacomo Indiveri:
Ultra low leakage synaptic scaling circuits for implementing homeostatic plasticity in neuromorphic architectures. ISCAS 2014: 2073-2076 - 2013
- [j1]Pingping Sun, Haixu Ju, Zhenbang Liu, Qiao Ning, Jian Zhang, Xiaowei Zhao, Yanxin Huang, Zhiqiang Ma, Yuxin Li:
Bioinformatics Resources and Tools for Conformational B-Cell Epitope Prediction. Comput. Math. Methods Medicine 2013: 943636:1-943636:11 (2013)
Coauthor Index
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last updated on 2024-11-04 20:40 CET by the dblp team
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