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Yi Zeng 0001

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affiliation: Chinese Academy of Sciences, Research Center for Brain-inspired Intelligence, Institute of Automation, Beijing, China
affiliation: Chinese Academy of Sciences, Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China

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2024
[j40]
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Qian Zhang, Han Lu, Jihang Wang, Taoyi Yang, Weida Bi, Yi Zeng, Buwei Yu:
Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study. Comput. Biol. Medicine 169: 107843 (2024)
[j39]
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Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng:
MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. Neural Comput. Appl. 36(15): 8531-8547 (2024)
[j38]
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Guobin Shen, Dongcheng Zhao, Yi Zeng:
Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. Neural Networks 170: 190-201 (2024)
2023
[j37]
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Guobin Shen, Dongcheng Zhao, Yi Zeng:
EventMix: An efficient data augmentation strategy for event-based learning. Inf. Sci. 644: 119170 (2023)
[j36]
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Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng:
An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. Neural Networks 165: 799-808 (2023)
[j35]
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Zhuoya Zhao, Feifei Zhao, Yuxuan Zhao, Yi Zeng, Yinqian Sun:
A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition. Patterns 4(8): 100775 (2023)
[j34]
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Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi:
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. Patterns 4(8): 100789 (2023)
[j33]
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Yuxuan Zhao, Enmeng Lu, Yi Zeng:
Brain-inspired bodily self-perception model for robot rubber hand illusion. Patterns 4(12): 100888 (2023)
[j32]
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Yuxuan Zhao, Enmeng Lu, Yi Zeng:
Meet the authors: Yuxuan Zhao, Enmeng Lu, and Yi Zeng. Patterns 4(12): 100891 (2023)
[j31]
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Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. IEEE Trans. Very Large Scale Integr. Syst. 31(8): 1178-1191 (2023)
2022
[j30]
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Hui Feng, Yi Zeng, Enmeng Lu:
Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task. Frontiers Comput. Neurosci. 16 (2022)
[j29]
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Feifei Zhao, Yi Zeng, Bo Xu:
Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle. Frontiers Neurorobotics 16 (2022)
[j28]
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Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang:
Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. Inf. Sci. 610: 1-13 (2022)
[j27]
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Feifei Zhao, Yi Zeng, Jun Bai:
Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. Neural Comput. 34(1): 172-189 (2022)
[j26]
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Dongcheng Zhao, Yi Zeng, Yang Li:
BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. Neural Networks 154: 68-77 (2022)
[j25]
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Guobin Shen, Dongcheng Zhao, Yi Zeng:
Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. Patterns 3(6): 100522 (2022)
[j24]
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Feifei Zhao, Yi Zeng, Bing Han, Hongjian Fang, Zhuoya Zhao:
Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network. Patterns 3(11): 100611 (2022)
2021
[j23]
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Yi Zeng, Kang Sun, Enmeng Lu:
Declaration on the ethics of brain-computer interfaces and augment intelligence. AI Ethics 1(3): 209-211 (2021)
[j22]
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Tielin Zhang, Yi Zeng, Ruihan Pan, Mengting Shi, Enmeng Lu:
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. Cogn. Comput. 13(2): 381-393 (2021)
[j21]
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Hongjian Fang, Yi Zeng, Feifei Zhao:
Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. Frontiers Comput. Neurosci. 15: 612041 (2021)
2020
[j20]
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Tielin Zhang, Yang Yang, Yi Zeng, Yuxuan Zhao:
Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. Cogn. Comput. 12(4): 834-843 (2020)
[j19]
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Mengting Shi, Tielin Zhang, Yi Zeng:
A Curiosity-Based Learning Method for Spiking Neural Networks. Frontiers Comput. Neurosci. 14: 7 (2020)
[j18]
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Mengting Shi, Tielin Zhang, Yi Zeng:
Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks. Frontiers Comput. Neurosci. 14: 28 (2020)
[j17]
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Dongcheng Zhao, Yi Zeng, Tielin Zhang, Mengting Shi, Feifei Zhao:
GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. Frontiers Comput. Neurosci. 14: 576841 (2020)
[j16]
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Cunqing Huangfu, Yi Zeng, Yuwei Wang:
Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. Frontiers Neuroinformatics 14: 38 (2020)
[j15]
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Yi Zeng, Yuxuan Zhao, Tielin Zhang, Dongcheng Zhao, Feifei Zhao, Enmeng Lu:
A Brain-Inspired Model of Theory of Mind. Frontiers Neurorobotics 14: 60 (2020)
[j14]
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Feifei Zhao, Qingqun Kong, Yi Zeng, Bo Xu:
A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. IEEE Trans. Cogn. Dev. Syst. 12(1): 124-132 (2020)
2019
[j13]
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Yuwei Wang, Yi Zeng, Jianbo Tang, Bo Xu:
Biological Neuron Coding Inspired Binary Word Embeddings. Cogn. Comput. 11(5): 676-684 (2019)
2018
[j12]
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Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang:
Special Issue of BICS 2016. Cogn. Comput. 10(2): 282-283 (2018)
[j11]
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Feifei Zhao, Yi Zeng, Guixiang Wang, Jun Bai, Bo Xu:
A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations. Cogn. Comput. 10(2): 296-306 (2018)
[j10]
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Yi Zeng, Yuxuan Zhao, Jun Bai, Bo Xu:
Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. Cogn. Comput. 10(2): 307-320 (2018)
[j9]
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Xiaomei Kang, Qingqun Kong, Yi Zeng, Bo Xu:
A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. Frontiers Comput. Neurosci. 12: 28 (2018)
[j8]
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Feifei Zhao, Yi Zeng, Bo Xu:
A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. Frontiers Neurorobotics 12: 56 (2018)
[j7]
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Qingqun Kong, Jiuqi Han, Yi Zeng, Bo Xu:
Efficient coding matters in the organization of the early visual system. Neural Networks 105: 218-226 (2018)
[j6]
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Yi Zeng, Guixiang Wang, Bo Xu:
A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. IEEE Trans. Cogn. Dev. Syst. 10(2): 290-303 (2018)
2017
[j5]
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Yi Zeng, Tielin Zhang, Bo Xu:
Improving multi-layer spiking neural networks by incorporating brain-inspired rules. Sci. China Inf. Sci. 60(5): 52201 (2017)
2016
[j4]
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Xin Liu, Yi Zeng, Tielin Zhang, Bo Xu:
Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform. Cogn. Comput. 8(5): 967-981 (2016)
[j3]
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Tielin Zhang, Yi Zeng, Bo Xu:
HCNN: A Neural Network Model for Combining Local and Global Features Towards Human-Like Classification. Int. J. Pattern Recognit. Artif. Intell. 30(1): 1655004:1-1655004:19 (2016)
2011
[j2]
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Yi Zeng, Erzhong Zhou, Yan Wang, Xu Ren, Yulin Qin, Zhisheng Huang, Ning Zhong:
Research interests: their dynamics, structures and applications in unifying search and reasoning. J. Intell. Inf. Syst. 37(1): 65-88 (2011)
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Yi Zeng, Ning Zhong, Yan Wang, Yulin Qin, Zhisheng Huang, Haiyan Zhou, Yiyu Yao, Frank van Harmelen:
User-centric query refinement and processing using granularity-based strategies. Knowl. Inf. Syst. 27(3): 419-450 (2011)

Conference and Workshop Papers

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2024
[c51]
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Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng:
An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. AAAI 2024: 512-520
2023
[c50]
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  - conf/ijcai/HanZZPS23
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Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen:
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. IJCAI 2023: 2993-3001
[c49]
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Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng:
Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. NeurIPS 2023
2022
[c48]
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  - conf/ijcai/Li022
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Yang Li, Yi Zeng:
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. IJCAI 2022: 2485-2491
2021
[c47]
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Hongjian Fang, Yi Zeng:
A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. IJCNN 2021: 1-5
2019
[c46]
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  - conf/aaai/ZengLH19
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Yi Zeng, Enmeng Lu, Cunqing Huangfu:
Linking Artificial Intelligence Principles. SafeAI@AAAI 2019
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Jun Bai, Yi Zeng, Yuxuan Zhao, Feifei Zhao:
Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. IJCNN 2019: 1-8
[c44]
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Dongcheng Zhao, Yi Zeng:
Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. IJCNN 2019: 1-8
[c43]
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Hongyin Zhu, Wenpeng Hu, Yi Zeng:
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. NLPCC (2) 2019: 168-178
2018
[c42]
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Tielin Zhang, Yi Zeng, Dongcheng Zhao, Mengting Shi:
A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. AAAI 2018: 620-628
[c41]
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Chaoming Wang, Yi Zeng:
Network of Recurrent Neural Networks: Design for Emergence. ICONIP (2) 2018: 89-102
[c40]
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Tielin Zhang, Yi Zeng, Dongcheng Zhao, Bo Xu:
Brain-inspired Balanced Tuning for Spiking Neural Networks. IJCAI 2018: 1653-1659
2017
[c39]
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Feifei Zhao, Tielin Zhang, Yi Zeng, Bo Xu:
Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning. ICONIP (4) 2017: 182-191
[c38]
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Guang Qiao, Hongyue Du, Yi Zeng:
A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. ISNN (1) 2017: 457-465
2016
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Yi Zeng, Yuxuan Zhao, Jun Bai:
Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition. BICS 2016: 11-21
[c36]
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Guixiang Wang, Yi Zeng, Bo Xu:
A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making. BICS 2016: 125-137
[c35]
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Yi Zeng, Dongsheng Wang, Hongyin Zhu:
User Interests Analysis and Its Application on the Linked Brain Data Platform. BIH 2016: 161-172
[c34]
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Hongyin Zhu, Yi Zeng, Dongsheng Wang, Bo Xu:
Brain Knowledge Graph Analysis Based on Complex Network Theory. BIH 2016: 211-220
[c33]
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Hongyin Zhu, Yi Zeng, Dongsheng Wang, Bo Xu:
Relation Inference and Type Identification Based on Brain Knowledge Graph. BIH 2016: 221-230
[c32]
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Yi Zeng, Feifei Zhao, Guixiang Wang, Lingyu Zhang, Bo Xu:
Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway. BIH 2016: 355-364
[c31]
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Yuwei Wang, Yi Zeng, Bo Xu:
SHTM: A neocortex-inspired algorithm for one-shot text generation. SMC 2016: 898-903
[c30]
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Hongyin Zhu, Yi Zeng, Yiping Yang:
Research topics variation analysis and prediction based on FARO and neural networks. SMC 2016: 910-915
[c29]
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Tielin Zhang, Yi Zeng, Dongcheng Zhao, Liwei Wang, Yuxuan Zhao, Bo Xu:
HMSNN: Hippocampus inspired Memory Spiking Neural Network. SMC 2016: 2301-2306
2015
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Qingqun Kong, Yi Zeng, Qiulei Dong:
Biologically inspired deep stereo model. ICIP 2015: 3700-3704
[c27]
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Jiuqi Han, Qingqun Kong, Yi Zeng, Hongwei Hao:
HEVS: A hierarchical computational model for Early stages of the Visual System. IJCNN 2015: 1-8
2014
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Yi Zeng, Tielin Zhang, Hongwei Hao:
Active Recommendation of Tourist Attractions Based on Visitors Interests and Semantic Relatedness. AMT 2014: 263-273
[c25]
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Yi Zeng, Weida Bi, Xuan Tang, Bo Xu:
Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories. Brain Informatics and Health 2014: 1-11
[c24]
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Jalal Mahmud, Jeffrey Nichols, Michelle X. Zhou, James Caverlee, Yi Zeng, Liang Chen, John O'Donovan:
DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. CIKM 2014: 2092-2093
[c23]
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Yi Zeng, Spyros Kotoulas, Zhisheng Huang:
Web-KR 2014: The 5th International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning. CIKM 2014: 2102-2103
2013
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Yi Zeng, Spyros Kotoulas, Zhisheng Huang:
Web-KR 2013: the 4th international workshop on web-scale knowledge representation, retrieval and reasoning. CIKM 2013: 2563-2564
[c21]
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Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao, Bo Xu:
CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data. JIST 2013: 75-88
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Yi Zeng, Dongsheng Wang, Tielin Zhang, Hao Wang, Hongwei Hao:
Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base. NLPCC 2013: 266-276
[c19]
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Yi Zeng, Hongwei Hao, Bo Xu:
Entity Conceptualization and Understanding Based on Web-Scale Knowledge Bases. SMC 2013: 3500-3504
2012
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Yi Zeng, Hongwei Hao, Ning Zhong, Xu Ren, Yan Wang:
Ranking and combining social network data for web personalization. DUBMMSM 2012: 15-18
[c17]
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Spyros Kotoulas, Yi Zeng, Zhisheng Huang:
The 2012 international workshop on web-scale knowledge representation, retrieval, and reasoning. CIKM 2012: 2760-2761
[c16]
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Yi Zeng, Hao Wang, Hongwei Hao, Bo Xu:
Statistical and Structural Analysis of Web-Based Collaborative Knowledge Bases Generated from Wiki Encyclopedia. Web Intelligence 2012: 553-557
[c15]
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Yi Zeng, Ning Zhong, Xu Ren, Yan Wang:
User interests driven web personalization based on multiple social networks. WI&C 2012: 9
2011
[c14]
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Shaobo Wang, Yi Zeng, Ning Zhong:
Ontology Extraction and Integration from Semi-structured Data. AMT 2011: 39-48
[c13]
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Lulin Zhao, Yi Zeng, Ning Zhong:
A Weighted Multi-factor Algorithm for Microblog Search. AMT 2011: 153-161
[c12]
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Yunfei Ma, Yi Zeng, Xu Ren, Ning Zhong:
User Interests Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning. AMT 2011: 195-205
[c11]
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Yi Zeng, Zhisheng Huang, Fenrong Liu, Xu Ren, Ning Zhong:
Interest Logic and Its Application on the Web. KSEM 2011: 12-23
[c10]
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Yan Wang, Zhisheng Huang, Yi Zeng, Ning Zhong, Frank van Harmelen:
Interleaving Reasoning and Selection with Knowledge Summarization. SKG 2011: 122-129
[c9]
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Yan Wang, Yi Zeng, Ning Zhong, Zhisheng Huang:
A Matrix Approach to Implicit Relationship Finding in Large-Scale Knowledge Bases. SKG 2011: 237-244
2010
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Yi Zeng, Yan Wang, Zhisheng Huang, Danica Damljanovic, Ning Zhong, Cong Wang:
User Interests: Definition, Vocabulary, and Utilization in Unifying Search and Reasoning. AMT 2010: 98-107
[c7]
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Xu Ren, Yi Zeng, Yulin Qin, Ning Zhong, Zhisheng Huang, Yan Wang, Cong Wang:
Social Relation Based Search Refinement: Let Your Friends Help You! AMT 2010: 475-485
[c6]
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Yi Zeng, Erzhong Zhou, Yulin Qin, Ning Zhong:
Research Interests: Their Dynamics, Structures and Applications in Web Search Refinement. Web Intelligence 2010: 639-646
2009
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Yi Zeng, Yan Wang, Zhisheng Huang, Ning Zhong:
Unifying Web-Scale Search and Reasoning from the Viewpoint of Granularity. AMT 2009: 418-429
[c4]
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Peiqiang Li, Yi Zeng, Spyros Kotoulas, Jacopo Urbani, Ning Zhong:
The Quest for Parallel Reasoning on the Semantic Web. AMT 2009: 430-441
[c3]
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Yi Zeng, Yiyu Yao, Ning Zhong:
DBLP-SSE: A DBLP Search Support Engine. Web Intelligence 2009: 626-630
2007
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Yiyu Yao, Yi Zeng, Ning Zhong:
Supporting Literature Exploration with Granular Knowledge Structures. RSFDGrC 2007: 182-189
[c1]
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Yiyu Yao, Yi Zeng, Ning Zhong, Xiangji Huang:
Knowledge Retrieval (KR). Web Intelligence 2007: 729-735

Editorship

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2017
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Yi Zeng, Yong He, Jeanette Hellgren Kotaleski, Maryann E. Martone, Bo Xu, Hanchuan Peng, Qingming Luo:
Brain Informatics - International Conference, BI 2017, Beijing, China, November 16-18, 2017, Proceedings. Lecture Notes in Computer Science 10654, Springer 2017, ISBN 978-3-319-70771-6 [contents]
2014
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Yi Zeng, Spyros Kotoulas, Zhisheng Huang:
Proceedings of the 5th International Workshop on Web-scale Knowledge Representation Retrieval & Reasoning, Web-KR@CIKM 2014, Shanghai, China, November 3, 2014. ACM 2014, ISBN 978-1-4503-1606-4 [contents]
2013
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Yi Zeng, Spyros Kotoulas, Zhisheng Huang:
Proceedings of the 4th international workshop on Web-scale knowledge representation retrieval and reasoning, Web-KR@CIKM 2013, San Francisco, CA, USA, November 1, 2013. ACM 2013, ISBN 978-1-4503-2424-3 [contents]
2012
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Spyros Kotoulas, Yi Zeng, Zhisheng Huang:
Proceedings of the 2012 international workshop on Web-scale knowledge representation, retrieval and reasoning, Web-KR@CIKM 2012, Maui, HI, USA, October 29, 2012. ACM 2012, ISBN 978-1-4503-1711-5 [contents]

Informal and Other Publications

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2024
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Yang Li, Yinqian Sun, Xiang He, Yiting Dong, Dongcheng Zhao, Yi Zeng:
Efficient Training Spiking Neural Networks with Parallel Spiking Unit. CoRR abs/2402.00449 (2024)
[i39]
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Yi Zeng, Feifei Zhao, Yuxuan Zhao, Dongcheng Zhao, Enmeng Lu, Qian Zhang, Yuwei Wang, Hui Feng, Zhuoya Zhao, Jihang Wang, Qingqun Kong, Yinqian Sun, Yang Li, Guobin Shen, Bing Han, Yiting Dong, Wenxuan Pan, Xiang He, Aorigele Bao, Jin Wang:
Brain-inspired and Self-based Artificial Intelligence. CoRR abs/2402.18784 (2024)
2023
[i38]
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Yinqian Sun, Yi Zeng, Feifei Zhao, Zhuoya Zhao:
Multi-compartment Neuron and Population Encoding improved Spiking Neural Network for Deep Distributional Reinforcement Learning. CoRR abs/2301.07275 (2023)
[i37]
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Guobin Shen, Dongcheng Zhao, Yi Zeng:
Exploiting High Performance Spiking Neural Networks with Efficient Spiking Patterns. CoRR abs/2301.12356 (2023)
[i36]
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Yuxuan Zhao, Enmeng Lu, Yi Zeng:
Brain-inspired bodily self-perception model that replicates the rubber hand illusion. CoRR abs/2303.12259 (2023)
[i35]
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Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong, Yi Zeng:
Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. CoRR abs/2303.13077 (2023)
[i34]
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Xiang He, Yang Li, Dongcheng Zhao, Qingqun Kong, Yi Zeng:
MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. CoRR abs/2303.13080 (2023)
[i33]
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Wenxuan Pan, Feifei Zhao, Yi Zeng, Bing Han:
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks. CoRR abs/2304.01015 (2023)
[i32]
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Yiting Dong, Dongcheng Zhao, Yi Zeng:
Temporal Knowledge Sharing enable Spiking Neural Network Learning from Past and Future. CoRR abs/2304.06540 (2023)
[i31]
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Wenxuan Pan, Feifei Zhao, Guobin Shen, Bing Han, Yi Zeng:
Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks. CoRR abs/2304.10749 (2023)
[i30]
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Linghao Feng, Dongcheng Zhao, Yi Zeng:
Spiking Generative Adversarial Network with Attention Scoring Decoding. CoRR abs/2305.10246 (2023)
[i29]
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Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Yi Zeng:
Dive into the Power of Neuronal Heterogeneity. CoRR abs/2305.11484 (2023)
[i28]
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Dongcheng Zhao, Guobin Shen, Yiting Dong, Yang Li, Yi Zeng:
Improving Stability and Performance of Spiking Neural Networks through Enhancing Temporal Consistency. CoRR abs/2305.14174 (2023)
[i27]
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  - journals/corr/abs-2306-11546
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Yiting Dong, Yang Li, Dongcheng Zhao, Guobin Shen, Yi Zeng:
Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. CoRR abs/2306.11546 (2023)
[i26]
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  - journals/corr/abs-2308-04749
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Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan, Guobin Shen:
Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. CoRR abs/2308.04749 (2023)
[i25]
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Guobin Shen, Dongcheng Zhao, Yiting Dong, Yang Li, Feifei Zhao, Yi Zeng:
Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. CoRR abs/2308.12063 (2023)
[i24]
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  - journals/corr/abs-2309-05263
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Wenxuan Pan, Feifei Zhao, Zhuoya Zhao, Yi Zeng:
Brain-inspired Evolutionary Architectures for Spiking Neural Networks. CoRR abs/2309.05263 (2023)
[i23]
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  - journals/corr/abs-2309-09550
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Bing Han, Feifei Zhao, Wenxuan Pan, Zhaoya Zhao, Xianqi Li, Qingqun Kong, Yi Zeng:
Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks. CoRR abs/2309.09550 (2023)
[i22]
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  - journals/corr/abs-2309-16158
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Jindong Li, Guobin Shen, Dongcheng Zhao, Qian Zhang, Yi Zeng:
FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network with a Spatiotemporal FPGA Accelerator. CoRR abs/2309.16158 (2023)
[i21]
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  - journals/corr/abs-2310-05563
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Yuwei Wang, Enmeng Lu, Zizhe Ruan, Yao Liang, Yi Zeng:
STREAM: Social data and knowledge collective intelligence platform for TRaining Ethical AI Models. CoRR abs/2310.05563 (2023)
[i20]
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  - journals/corr/abs-2311-03150
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Zhuoya Zhao, Feifei Zhao, Shiwen Wang, Yinqian Sun, Yi Zeng:
A Brain-inspired Theory of Collective Mind Model for Efficient Social Cooperation. CoRR abs/2311.03150 (2023)
[i19]
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  - journals/corr/abs-2311-10802
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Guobin Shen, Dongcheng Zhao, Tenglong Li, Jindong Li, Yi Zeng:
Is Conventional SNN Really Efficient? A Perspective from Network Quantization. CoRR abs/2311.10802 (2023)
2022
[i18]
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  - journals/corr/abs-2204-13271
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Yang Li, Yi Zeng:
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. CoRR abs/2204.13271 (2022)
[i17]
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  - journals/corr/abs-2205-12054
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Guobin Shen, Dongcheng Zhao, Yi Zeng:
EventMix: An Efficient Augmentation Strategy for Event-Based Data. CoRR abs/2205.12054 (2022)
[i16]
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  - journals/corr/abs-2206-03654
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Yinqian Sun, Yi Zeng, Yang Li:
Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization. CoRR abs/2206.03654 (2022)
[i15]
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  - journals/corr/abs-2207-02702
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Yang Li, Xiang He, Yiting Dong, Qingqun Kong, Yi Zeng:
Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. CoRR abs/2207.02702 (2022)
[i14]
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  - journals/corr/abs-2207-02727
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Yiting Dong, Dongcheng Zhao, Yang Li, Yi Zeng:
An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. CoRR abs/2207.02727 (2022)
[i13]
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  - journals/corr/abs-2207-08533
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Yi Zeng, Dongcheng Zhao, Feifei Zhao, Guobin Shen, Yiting Dong, Enmeng Lu, Qian Zhang, Yinqian Sun, Qian Liang, Yuxuan Zhao, Zhuoya Zhao, Hongjian Fang, Yuwei Wang, Yang Li, Xin Liu, Chengcheng Du, Qingqun Kong, Zizhe Ruan, Weida Bi:
BrainCog: A Spiking Neural Network based Brain-inspired Cognitive Intelligence Engine for Brain-inspired AI and Brain Simulation. CoRR abs/2207.08533 (2022)
[i12]
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  - journals/corr/abs-2211-12219
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Bing Han, Feifei Zhao, Yi Zeng, Wenxuan Pan:
Adaptive Sparse Structure Development with Pruning and Regeneration for Spiking Neural Networks. CoRR abs/2211.12219 (2022)
[i11]
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  - journals/corr/abs-2211-12714
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Bing Han, Feifei Zhao, Yi Zeng, Guobin Shen:
Developmental Plasticity-inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks. CoRR abs/2211.12714 (2022)
2021
[i10]
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  - journals/corr/abs-2105-12917
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Yang Li, Yi Zeng, Dongcheng Zhao:
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. CoRR abs/2105.12917 (2021)
[i9]
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Dongcheng Zhao, Yi Zeng, Yang Li:
BackEISNN: A Deep Spiking Neural Network with Adaptive Self-Feedback and Balanced Excitatory-Inhibitory Neurons. CoRR abs/2105.13004 (2021)
[i8]
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  - journals/corr/abs-2110-08858
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Guobin Shen, Dongcheng Zhao, Yi Zeng:
Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. CoRR abs/2110.08858 (2021)
[i7]
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  - journals/corr/abs-2111-07785
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Dongcheng Zhao, Yang Li, Yi Zeng, Jihang Wang, Qian Zhang:
Spiking CapsNet: A Spiking Neural Network With A Biologically Plausible Routing Rule Between Capsules. CoRR abs/2111.07785 (2021)
[i6]
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  - journals/corr/abs-2112-13230
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Yang Li, Yiting Dong, Dongcheng Zhao, Yi Zeng:
N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. CoRR abs/2112.13230 (2021)
2020
[i5]
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  - journals/corr/abs-2010-12197
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Yinqian Sun, Yi Zeng, Tielin Zhang:
Quantum Superposition Spiking Neural Network. CoRR abs/2010.12197 (2020)
2019
[i4]
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  - journals/corr/abs-1908-05009
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Hongyin Zhu, Wenpeng Hu, Yi Zeng:
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. CoRR abs/1908.05009 (2019)
[i3]
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  - journals/corr/abs-1909-12935
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Yi Zeng, Enmeng Lu, Yinqian Sun, Ruochen Tian:
Responsible Facial Recognition and Beyond. CoRR abs/1909.12935 (2019)
2018
[i2]
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  - journals/corr/abs-1812-04814
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Yi Zeng, Enmeng Lu, Cunqing Huangfu:
Linking Artificial Intelligence Principles. CoRR abs/1812.04814 (2018)
2008
[i1]
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  - journals/corr/abs-0810-4668
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Yi Zeng, Ning Zhong:
On Granular Knowledge Structures. CoRR abs/0810.4668 (2008)

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