Supporting Literature Exploration with Granular Knowledge Structures. - Yiyu Yao; Yi Zeng 001; Ning Zhong 001 (RSFDGrC, 2007)

Knowledge Retrieval (KR). - Yiyu Yao; Yi Zeng 001; Ning Zhong 001; Xiangji Huang 001 (Web Intelligence, 2007)

On Granular Knowledge Structures - Yi Zeng 001; Ning Zhong 001 (CoRR, 2008)

The Quest for Parallel Reasoning on the Semantic Web. - Peiqiang Li; Yi Zeng 001; Spyros Kotoulas; Jacopo Urbani; Ning Zhong 001 (AMT, 2009)

Unifying Web-Scale Search and Reasoning from the Viewpoint of Granularity. - Yi Zeng 001; Yan Wang; Zhisheng Huang; Ning Zhong 001 (AMT, 2009)

DBLP-SSE: A DBLP Search Support Engine. - Yi Zeng 001; Yiyu Yao; Ning Zhong 001 (Web Intelligence, 2009)

Social Relation Based Search Refinement: Let Your Friends Help You! - Xu Ren; Yi Zeng 001; Yulin Qin; Ning Zhong 001; Zhisheng Huang; Yan Wang; Cong Wang (AMT, 2010)

User Interests: Definition, Vocabulary, and Utilization in Unifying Search and Reasoning. - Yi Zeng 001; Yan Wang; Zhisheng Huang; Danica Damljanovic; Ning Zhong 001; Cong Wang (AMT, 2010)

Research Interests: Their Dynamics, Structures and Applications in Web Search Refinement. - Yi Zeng 001; Erzhong Zhou; Yulin Qin; Ning Zhong 001 (Web Intelligence, 2010)

User Interests Modeling Based on Multi-source Personal Information Fusion and Semantic Reasoning. - Yunfei Ma; Yi Zeng 001; Xu Ren; Ning Zhong 001 (AMT, 2011)

Ontology Extraction and Integration from Semi-structured Data. - Shaobo Wang; Yi Zeng 001; Ning Zhong 001 (AMT, 2011)

A Weighted Multi-factor Algorithm for Microblog Search. - Lulin Zhao; Yi Zeng 001; Ning Zhong 001 (AMT, 2011)

Interest Logic and Its Application on the Web. - Yi Zeng 001; Zhisheng Huang; Fenrong Liu; Xu Ren; Ning Zhong 001 (KSEM, 2011)

Interleaving Reasoning and Selection with Knowledge Summarization. - Yan Wang; Zhisheng Huang; Yi Zeng 001; Ning Zhong 001; Frank van Harmelen (SKG, 2011)

A Matrix Approach to Implicit Relationship Finding in Large-Scale Knowledge Bases. - Yan Wang; Yi Zeng 001; Ning Zhong 001; Zhisheng Huang (SKG, 2011)

Research interests: their dynamics, structures and applications in unifying search and reasoning. - Yi Zeng 001; Erzhong Zhou; Yan Wang; Xu Ren; Yulin Qin; Zhisheng Huang; Ning Zhong 001 (J. Intell. Inf. Syst., 2011)

User-centric query refinement and processing using granularity-based strategies. - Yi Zeng 001; Ning Zhong 001; Yan Wang; Yulin Qin; Zhisheng Huang; Haiyan Zhou; Yiyu Yao; Frank van Harmelen (Knowl. Inf. Syst., 2011)

The 2012 international workshop on web-scale knowledge representation, retrieval, and reasoning. - Spyros Kotoulas; Yi Zeng 001; Zhisheng Huang (CIKM, 2012)

Ranking and combining social network data for web personalization. - Yi Zeng 001; Hongwei Hao; Ning Zhong 001; Xu Ren; Yan Wang (DUBMMSM, 2012)

Statistical and Structural Analysis of Web-Based Collaborative Knowledge Bases Generated from Wiki Encyclopedia. - Yi Zeng 001; Hao Wang; Hongwei Hao; Bo Xu 002 (Web Intelligence, 2012)

User interests driven web personalization based on multiple social networks. - Yi Zeng 001; Ning Zhong 001; Xu Ren; Yan Wang (WI&C, 2012)

Web-KR 2013: the 4th international workshop on web-scale knowledge representation, retrieval and reasoning. - Yi Zeng 001; Spyros Kotoulas; Zhisheng Huang (CIKM, 2013)

CASIA-KB: A Multi-source Chinese Semantic Knowledge Base Built from Structured and Unstructured Web Data. - Yi Zeng 001; Dongsheng Wang 005; Tielin Zhang; Hao Wang; Hongwei Hao; Bo Xu 002 (JIST, 2013)

Linking Entities in Short Texts Based on a Chinese Semantic Knowledge Base. - Yi Zeng 001; Dongsheng Wang 005; Tielin Zhang; Hao Wang; Hongwei Hao (NLPCC, 2013)

Entity Conceptualization and Understanding Based on Web-Scale Knowledge Bases. - Yi Zeng 001; Hongwei Hao; Bo Xu 002 (SMC, 2013)

Active Recommendation of Tourist Attractions Based on Visitors Interests and Semantic Relatedness. - Yi Zeng 001; Tielin Zhang; Hongwei Hao (AMT, 2014)

Neuronal Morphology Modeling Based on Microscopy Reconstruction Data in the Public Repositories. - Yi Zeng 001; Weida Bi; Xuan Tang; Bo Xu 002 (Brain Informatics and Health, 2014)

DUBMOD14 - International Workshop on Data-driven User Behavioral Modeling and Mining from Social Media. - Jalal Mahmud; Jeffrey Nichols 001; Michelle X. Zhou; James Caverlee; Yi Zeng 001; Liang Chen 001; John O'Donovan (CIKM, 2014)

Web-KR 2014: The 5th International Workshop on Web-scale Knowledge Representation, Retrieval and Reasoning. - Yi Zeng 001; Spyros Kotoulas; Zhisheng Huang (CIKM, 2014)

Biologically inspired deep stereo model. - Qingqun Kong; Yi Zeng 001; Qiulei Dong (ICIP, 2015)

HEVS: A hierarchical computational model for Early stages of the Visual System. - Jiuqi Han; Qingqun Kong; Yi Zeng 001; Hongwei Hao (IJCNN, 2015)

A Spiking Neural Network Based Autonomous Reinforcement Learning Model and Its Application in Decision Making. - Guixiang Wang; Yi Zeng 001; Bo Xu 002 (BICS, 2016)

Towards Robot Self-consciousness (I): Brain-Inspired Robot Mirror Neuron System Model and Its Application in Mirror Self-recognition. - Yi Zeng 001; Yuxuan Zhao 002; Jun Bai (BICS, 2016)

User Interests Analysis and Its Application on the Linked Brain Data Platform. - Yi Zeng 001; Dongsheng Wang 005; Hongyin Zhu (BIH, 2016)

Brain-Inspired Obstacle Detection Based on the Biological Visual Pathway. - Yi Zeng 001; Feifei Zhao; Guixiang Wang; Lingyu Zhang; Bo Xu 002 (BIH, 2016)

Brain Knowledge Graph Analysis Based on Complex Network Theory. - Hongyin Zhu; Yi Zeng 001; Dongsheng Wang 005; Bo Xu 002 (BIH, 2016)

Relation Inference and Type Identification Based on Brain Knowledge Graph. - Hongyin Zhu; Yi Zeng 001; Dongsheng Wang 005; Bo Xu 002 (BIH, 2016)

SHTM: A neocortex-inspired algorithm for one-shot text generation. - Yuwei Wang; Yi Zeng 001; Bo Xu 002 (SMC, 2016)

HMSNN: Hippocampus inspired Memory Spiking Neural Network. - Tielin Zhang; Yi Zeng 001; Dongcheng Zhao; Liwei Wang 001; Yuxuan Zhao 002; Bo Xu 002 (SMC, 2016)

Research topics variation analysis and prediction based on FARO and neural networks. - Hongyin Zhu; Yi Zeng 001; Yiping Yang (SMC, 2016)

Parallel Brain Simulator: A Multi-scale and Parallel Brain-Inspired Neural Network Modeling and Simulation Platform. - Xin Liu; Yi Zeng 001; Tielin Zhang; Bo Xu 002 (Cogn. Comput., 2016)

HCNN: A Neural Network Model for Combining Local and Global Features Towards Human-Like Classification. - Tielin Zhang; Yi Zeng 001; Bo Xu 002 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Towards a Brain-Inspired Developmental Neural Network by Adaptive Synaptic Pruning. - Feifei Zhao; Tielin Zhang; Yi Zeng 001; Bo Xu 002 (ICONIP (4), 2017)

A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity. - Guang Qiao; Hongyue Du; Yi Zeng 001 (ISNN (1), 2017)

Improving multi-layer spiking neural networks by incorporating brain-inspired rules. - Yi Zeng 001; Tielin Zhang; Bo Xu 002 (Sci. China Inf. Sci., 2017)

A Plasticity-Centric Approach to Train the Non-Differential Spiking Neural Networks. - Tielin Zhang; Yi Zeng 001; Dongcheng Zhao; Mengting Shi (AAAI, 2018)

Network of Recurrent Neural Networks: Design for Emergence. - Chaoming Wang; Yi Zeng 001 (ICONIP (2), 2018)

Brain-inspired Balanced Tuning for Spiking Neural Networks. - Tielin Zhang; Yi Zeng 001; Dongcheng Zhao; Bo Xu 002 (IJCAI, 2018)

Special Issue of BICS 2016. - Cheng-Lin Liu 001; Amir Hussain 001; Bin Luo 001; Kay Chen Tan; Yi Zeng 001; Zhaoxiang Zhang 001 (Cogn. Comput., 2018)

Toward Robot Self-Consciousness (II): Brain-Inspired Robot Bodily Self Model for Self-Recognition. - Yi Zeng 001; Yuxuan Zhao 002; Jun Bai; Bo Xu 002 (Cogn. Comput., 2018)

A Brain-Inspired Decision Making Model Based on Top-Down Biasing of Prefrontal Cortex to Basal Ganglia and Its Application in Autonomous UAV Explorations. - Feifei Zhao; Yi Zeng 001; Guixiang Wang; Jun Bai; Bo Xu 002 (Cogn. Comput., 2018)

A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System. - Xiaomei Kang; Qingqun Kong; Yi Zeng 001; Bo Xu 002 (Frontiers Comput. Neurosci., 2018)

A Brain-Inspired Decision-Making Spiking Neural Network and Its Application in Unmanned Aerial Vehicle. - Feifei Zhao; Yi Zeng 001; Bo Xu 002 (Frontiers Neurorobotics, 2018)

Efficient coding matters in the organization of the early visual system. - Qingqun Kong; Jiuqi Han; Yi Zeng 001; Bo Xu 002 (Neural Networks, 2018)

A Basal Ganglia Network Centric Reinforcement Learning Model and Its Application in Unmanned Aerial Vehicle. - Yi Zeng 001; Guixiang Wang; Bo Xu 002 (IEEE Trans. Cogn. Dev. Syst., 2018)

Linking Artificial Intelligence Principles. - Yi Zeng 001; Enmeng Lu; Cunqing Huangfu (SafeAI@AAAI, 2019)

Training a V1 Like Layer Using Gabor Filters in Convolutional Neural Networks. - Jun Bai; Yi Zeng 001; Yuxuan Zhao 002; Feifei Zhao (IJCNN, 2019)

Dynamic Fusion of Convolutional Features based on Spatial and Temporal Attention for Visual Tracking. - Dongcheng Zhao; Yi Zeng 001 (IJCNN, 2019)

FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition. - Hongyin Zhu; Wenpeng Hu; Yi Zeng 001 (NLPCC (2), 2019)

Biological Neuron Coding Inspired Binary Word Embeddings. - Yuwei Wang; Yi Zeng 001; Jianbo Tang; Bo Xu 002 (Cogn. Comput., 2019)

Responsible Facial Recognition and Beyond. - Yi Zeng 001; Enmeng Lu; Yinqian Sun; Ruochen Tian (CoRR, 2019)

Cognitive Template-Clustering Improved LineMod for Efficient Multi-object Pose Estimation. - Tielin Zhang; Yang Yang; Yi Zeng 001; Yuxuan Zhao 002 (Cogn. Comput., 2020)

Quantum Superposition Spiking Neural Network. - Yinqian Sun; Yi Zeng 001; Tielin Zhang (CoRR, 2020)

Corrigendum: A Curiosity-Based Learning Method for Spiking Neural Networks. - Mengting Shi; Tielin Zhang; Yi Zeng 001 (Frontiers Comput. Neurosci., 2020)

A Curiosity-Based Learning Method for Spiking Neural Networks. - Mengting Shi; Tielin Zhang; Yi Zeng 001 (Frontiers Comput. Neurosci., 2020)

GLSNN: A Multi-Layer Spiking Neural Network Based on Global Feedback Alignment and Local STDP Plasticity. - Dongcheng Zhao; Yi Zeng 001; Tielin Zhang; Mengting Shi; Feifei Zhao (Frontiers Comput. Neurosci., 2020)

Creating Neuroscientific Knowledge Organization System Based on Word Representation and Agglomerative Clustering Algorithm. - Cunqing Huangfu; Yi Zeng 001; Yuwei Wang (Frontiers Neuroinformatics, 2020)

A Brain-Inspired Model of Theory of Mind. - Yi Zeng 001; Yuxuan Zhao 002; Tielin Zhang; Dongcheng Zhao; Feifei Zhao; Enmeng Lu (Frontiers Neurorobotics, 2020)

A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging. - Feifei Zhao; Qingqun Kong; Yi Zeng 001; Bo Xu 002 (IEEE Trans. Cogn. Dev. Syst., 2020)

A Brain-Inspired Causal Reasoning Model Based on Spiking Neural Networks. - Hongjian Fang; Yi Zeng 001 (IJCNN, 2021)

Declaration on the ethics of brain-computer interfaces and augment intelligence. - Yi Zeng 001; Kang Sun; Enmeng Lu (AI Ethics, 2021)

Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction. - Tielin Zhang; Yi Zeng 001; Ruihan Pan; Mengting Shi; Enmeng Lu (Cogn. Comput., 2021)

BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons. - Yang Li 141; Yi Zeng 001; Dongcheng Zhao (CoRR, 2021)

Backpropagation with Biologically Plausible Spatio-Temporal Adjustment For Training Deep Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2021)

N-Omniglot: a Large-scale Neuromorphic Dataset for Spatio-Temporal Sparse Few-shot Learning. - Yang Li 141; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2021)

Brain Inspired Sequences Production by Spiking Neural Networks With Reward-Modulated STDP. - Hongjian Fang; Yi Zeng 001; Feifei Zhao (Frontiers Comput. Neurosci., 2021)

Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes. - Yang Li 141; Yi Zeng 001 (IJCAI, 2022)

EventMix: An Efficient Augmentation Strategy for Event-Based Data. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2022)

Solving the Spike Feature Information Vanishing Problem in Spiking Deep Q Network with Potential Based Normalization. - Yinqian Sun; Yi Zeng 001; Yang Li 141 (CoRR, 2022)

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation. - Yang Li 141; Xiang He 004; Yiting Dong; Qingqun Kong; Yi Zeng 001 (CoRR, 2022)

An Unsupervised Spiking Neural Network Inspired By Biologically Plausible Learning Rules and Connections. - Yiting Dong; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (CoRR, 2022)

Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task. - Hui Feng; Yi Zeng 001; Enmeng Lu (Frontiers Comput. Neurosci., 2022)

Spiking CapsNet: A spiking neural network with a biologically plausible routing rule between capsules. - Dongcheng Zhao; Yang Li 141; Yi Zeng 001; Jihang Wang; Qian Zhang 080 (Inf. Sci., 2022)

Toward a Brain-Inspired Developmental Neural Network Based on Dendritic Spine Dynamics. - Feifei Zhao; Yi Zeng 001; Jun Bai (Neural Comput., 2022)

BackEISNN: A deep spiking neural network with adaptive self-feedback and balanced excitatory-inhibitory neurons. - Dongcheng Zhao; Yi Zeng 001; Yang Li 141 (Neural Networks, 2022)

Backpropagation with biologically plausible spatiotemporal adjustment for training deep spiking neural networks. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (Patterns, 2022)

Nature-inspired self-organizing collision avoidance for drone swarm based on reward-modulated spiking neural network. - Feifei Zhao; Yi Zeng 001; Bing Han 010; Hongjian Fang; Zhuoya Zhao (Patterns, 2022)

Corrigendum: A brain-inspired decision-making spiking neural network and its application in unmanned aerial vehicle. - Feifei Zhao; Yi Zeng 001; Bo Xu 002 (Frontiers Neurorobotics, 2022)

Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks. - Bing Han 010; Feifei Zhao; Yi Zeng 001; Wenxuan Pan; Guobin Shen (IJCAI, 2023)

Bullying10K: A Large-Scale Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. - Yiting Dong; Yang Li 141; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (NeurIPS, 2023)

Multi-compartment Neuron and Population Encoding improved Spiking Neural Network for Deep Distributional Reinforcement Learning. - Yinqian Sun; Yi Zeng 001; Feifei Zhao; Zhuoya Zhao (CoRR, 2023)

Brain-inspired bodily self-perception model that replicates the rubber hand illusion. - Yuxuan Zhao 002; Enmeng Lu; Yi Zeng 001 (CoRR, 2023)

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks. - Wenxuan Pan; Feifei Zhao; Yi Zeng 001; Bing Han 010 (CoRR, 2023)

Multi-scale Evolutionary Neural Architecture Search for Deep Spiking Neural Networks. - Wenxuan Pan; Feifei Zhao; Guobin Shen; Bing Han 010; Yi Zeng 001 (CoRR, 2023)

Dive into the Power of Neuronal Heterogeneity. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Yi Zeng 001 (CoRR, 2023)

Bullying10K: A Neuromorphic Dataset towards Privacy-Preserving Bullying Recognition. - Yiting Dong; Yang Li 141; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (CoRR, 2023)

Metaplasticity: Unifying Learning and Homeostatic Plasticity in Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Feifei Zhao; Yi Zeng 001 (CoRR, 2023)

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks. - Bing Han 010; Feifei Zhao; Wenxuan Pan; Zhaoya Zhao; Xianqi Li; Qingqun Kong; Yi Zeng 001 (CoRR, 2023)

Is Conventional SNN Really Efficient? A Perspective from Network Quantization. - Guobin Shen; Dongcheng Zhao; Tenglong Li; Jindong Li 001; Yi Zeng 001 (CoRR, 2023)

Astrocyte-Enabled Advancements in Spiking Neural Networks for Large Language Modeling. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Yang Li 141; Jindong Li 001; Kang Sun; Yi Zeng 001 (CoRR, 2023)

An unsupervised STDP-based spiking neural network inspired by biologically plausible learning rules and connections. - Yiting Dong; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (Neural Networks, 2023)

BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation. - Yi Zeng 001; Dongcheng Zhao; Feifei Zhao; Guobin Shen; Yiting Dong; Enmeng Lu; Qian Zhang 080; Yinqian Sun; Qian Liang; Yuxuan Zhao 002; Zhuoya Zhao; Hongjian Fang; et al. (Patterns, 2023)

A brain-inspired theory of mind spiking neural network improves multi-agent cooperation and competition. - Zhuoya Zhao; Feifei Zhao; Yuxuan Zhao 002; Yi Zeng 001; Yinqian Sun (Patterns, 2023)

FireFly: A High-Throughput Hardware Accelerator for Spiking Neural Networks With Efficient DSP and Memory Optimization. - Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (IEEE Trans. Very Large Scale Integr. Syst., 2023)

EventMix: An efficient data augmentation strategy for event-based learning. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (Inf. Sci., 2023)

Brain-inspired bodily self-perception model for robot rubber hand illusion. - Yuxuan Zhao 002; Enmeng Lu; Yi Zeng 001 (Patterns, 2023)

Meet the authors: Yuxuan Zhao, Enmeng Lu, and Yi Zeng. - Yuxuan Zhao 002; Enmeng Lu; Yi Zeng 001 (Patterns, 2023)

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Guobin Shen; Qingqun Kong; Yi Zeng 001 (AAAI, 2024)

Enhancing Few-Shot Learning in Spiking Neural Networks Through Hebbian-Augmented Associative Memory. - Weiyi Li; Dongcheng Zhao; Yiting Dong; Guobin Shen; Yi Zeng 001 (BICS (1), 2024)

Brain-Inspired Action Generation with Spiking Transformer Diffusion Policy Model. - Qianhao Wang; Yinqian Sun; Enmeng Lu; Qian Zhang 080; Yi Zeng 001 (BICS (1), 2024)

Are Conventional SNNs Really Efficient? A Perspective from Network Quantization. - Guobin Shen; Dongcheng Zhao; Tenglong Li; Jindong Li 001; Yi Zeng 001 (CVPR, 2024)

Revealing Untapped DSP Optimization Potentials for FPGA-Based Systolic Matrix Engines. - Jindong Li 001; Tenglong Li; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (FPL, 2024)

Enhancing Spiking Transformers with Binary Attention Mechanisms. - Guobin Shen; Dongcheng Zhao; Sicheng Shen; Yi Zeng 001 (Tiny Papers @ ICLR, 2024)

TIM: An Efficient Temporal Interaction Module for Spiking Transformer. - Sicheng Shen; Dongcheng Zhao; Guobin Shen; Yi Zeng 001 (IJCAI, 2024)

Parallel Spiking Unit for Efficient Training of Spiking Neural Networks. - Yang Li 141; Yinqian Sun; Xiang He 004; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (IJCNN, 2024)

CACE-Net: Co-guidance Attention and Contrastive Enhancement for Effective Audio-Visual Event Localization. - Xiang He 004; Xiangxi Liu; Yang Li 141; Dongcheng Zhao; Guobin Shen; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (ACM Multimedia, 2024)

Neuro-Vision to Language: Enhancing Brain Recording-based Visual Reconstruction and Language Interaction. - Guobin Shen; Dongcheng Zhao; Xiang He 004; Linghao Feng; Yiting Dong; Jihang Wang; Qian Zhang 080; Yi Zeng 001 (NeurIPS, 2024)

Efficient Training Spiking Neural Networks with Parallel Spiking Unit. - Yang Li 141; Yinqian Sun; Xiang He 004; Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2024)

Brain-inspired and Self-based Artificial Intelligence. - Yi Zeng 001; Feifei Zhao; Yuxuan Zhao 002; Dongcheng Zhao; Enmeng Lu; Qian Zhang 080; Yuwei Wang; Hui Feng; Zhuoya Zhao; Jihang Wang; Qingqun Kong; Yinqian Sun; et al. (CoRR, 2024)

Neuro-Vision to Language: Image Reconstruction and Language enabled Interaction via Brain Recordings. - Guobin Shen; Dongcheng Zhao; Xiang He 004; Linghao Feng; Yiting Dong; Jihang Wang; Qian Zhang 080; Yi Zeng 001 (CoRR, 2024)

Time Cell Inspired Temporal Codebook in Spiking Neural Networks for Enhanced Image Generation. - Linghao Feng; Dongcheng Zhao; Sicheng Shen; Yiting Dong; Guobin Shen; Yi Zeng 001 (CoRR, 2024)

Brain-Inspired Stepwise Patch Merging for Vision Transformers. - Yong Yu 001; Dongcheng Zhao; Guobin Shen; Yiting Dong; Yi Zeng 001 (CoRR, 2024)

Harnessing Task Overload for Scalable Jailbreak Attacks on Large Language Models. - Yiting Dong; Guobin Shen; Dongcheng Zhao; Xiang He 004; Yi Zeng 001 (CoRR, 2024)

Building Altruistic and Moral AI Agent with Brain-inspired Affective Empathy Mechanisms. - Feifei Zhao; Hui Feng; Haibo Tong; Zhengqiang Han; Enmeng Lu; Yinqian Sun; Yi Zeng 001 (CoRR, 2024)

LLM-GLOBE: A Benchmark Evaluating the Cultural Values Embedded in LLM Output. - Elise Karinshak; Amanda Hu; Kewen Kong; Vishwanatha Rao; Jingren Wang; Jindong Wang 001; Yi Zeng 001 (CoRR, 2024)

Evolving Efficient Genetic Encoding for Deep Spiking Neural Networks. - Wenxuan Pan; Feifei Zhao; Bing Han 010; Haibo Tong; Yi Zeng 001 (CoRR, 2024)

Spiking neural networks with consistent mapping relations allow high-accuracy inference. - Yang Li 141; Xiang He 004; Qingqun Kong; Yi Zeng 001 (Inf. Sci., 2024)

Spiking generative adversarial network with attention scoring decoding. - Linghao Feng; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

Directly training temporal Spiking Neural Network with sparse surrogate gradient. - Yang Li 141; Feifei Zhao; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

Exploiting nonlinear dendritic adaptive computation in training deep Spiking Neural Networks. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (Neural Networks, 2024)

Hierarchical rhythmic propagation of corticothalamic interactions for consciousness: A computational study. - Qian Zhang 080; Han Lu; Jihang Wang; Taoyi Yang; Weida Bi; Yi Zeng 001; Buwei Yu (Comput. Biol. Medicine, 2024)

Embracing grief in the age of deathbots: a temporary tool, not a permanent solution. - Aorigele Bao; Yi Zeng 001 (Ethics Inf. Technol., 2024)

MSAT: biologically inspired multistage adaptive threshold for conversion of spiking neural networks. - Xiang He 004; Yang Li 141; Dongcheng Zhao; Qingqun Kong; Yi Zeng 001 (Neural Comput. Appl., 2024)

Temporal Knowledge Sharing Enable Spiking Neural Network Learning From Past and Future. - Yiting Dong; Dongcheng Zhao; Yi Zeng 001 (IEEE Trans. Artif. Intell., 2024)

FireFly v2: Advancing Hardware Support for High-Performance Spiking Neural Network With a Spatiotemporal FPGA Accelerator. - Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Brain-Inspired Evolutionary Architectures for Spiking Neural Networks. - Wenxuan Pan; Feifei Zhao; Zhuoya Zhao; Yi Zeng 001 (IEEE Trans. Artif. Intell., 2024)

A Brain-Inspired Theory of Collective Mind Model for Efficient Social Cooperation. - Zhuoya Zhao; Feifei Zhao; Shiwen Wang; Yinqian Sun; Yi Zeng 001 (IEEE Trans. Artif. Intell., 2024)

EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision. - Yiting Dong; Xiang He 004; Guobin Shen; Dongcheng Zhao; Yang Li 141; Yi Zeng 001 (AAAI, 2025)

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly? - Guobin Shen; Dongcheng Zhao; Aorigele Bao; Xiang He 004; Yiting Dong; Yi Zeng 001 (AAAI, 2025)

Pushing up to the Limit of Memory Bandwidth and Capacity Utilization for Efficient LLM Decoding on Embedded FPGA. - Jindong Li 001; Tenglong Li; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (DATE, 2025)

Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models. - Guobin Shen; Dongcheng Zhao; Yiting Dong; Xiang He 004; Yi Zeng 001 (ICLR, 2025)

Adaptive sparse structure development with pruning and regeneration for spiking neural networks. - Bing Han 010; Feifei Zhao; Wenxuan Pan; Yi Zeng 001 (Inf. Sci., 2025)

Similarity-based context aware continual learning for spiking neural networks. - Bing Han 010; Feifei Zhao; Yang Li 141; Qingqun Kong; Xianqi Li; Yi Zeng 001 (Neural Networks, 2025)

Multi-compartment neuron and population encoding powered spiking neural network for deep distributional reinforcement learning. - Yinqian Sun; Feifei Zhao; Zhuoya Zhao; Yi Zeng 001 (Neural Networks, 2025)

Improving stability and performance of spiking neural networks through enhancing temporal consistency. - Dongcheng Zhao; Guobin Shen; Yiting Dong; Yang Li 141; Yi Zeng 001 (Pattern Recognit., 2025)

Stream: social data and knowledge collective intelligence platform for TRaining Ethical AI Models. - Yuwei Wang; Enmeng Lu; Zizhe Ruan; Yao Liang; Yi Zeng 001 (AI Soc., 2025)

Autonomous Alignment with Human Value on Altruism through Considerate Self-imagination and Theory of Mind. - Haibo Tong; Enmeng Lu; Yinqian Sun; Zhengqiang Han; Chao Liu; Feifei Zhao; Yi Zeng 001 (CoRR, 2025)

SpikePack: Enhanced Information Flow in Spiking Neural Networks with High Hardware Compatibility. - Guobin Shen; Jindong Li 001; Tenglong Li; Dongcheng Zhao; Yi Zeng 001 (CoRR, 2025)

Developmental Plasticity-Inspired Adaptive Pruning for Deep Spiking and Artificial Neural Networks. - Bing Han 010; Feifei Zhao; Yi Zeng 001; Guobin Shen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Principles on symbiosis for natural life and living artificial intelligence. - Yi Zeng 001; Enmeng Lu; Kang Sun (AI Ethics, 2025)

MTDP: Modulated Transformer Diffusion Policy Model. - Qianhao Wang; Yinqian Sun; Enmeng Lu; Qian Zhang 080; Yi Zeng 001 (CoRR, 2025)

Enhancing Audio-Visual Spiking Neural Networks through Semantic-Alignment and Cross-Modal Residual Learning. - Xiang He 004; Dongcheng Zhao; Yiting Dong; Guobin Shen; Xin Yang 001; Yi Zeng 001 (CoRR, 2025)

AI Governance InternationaL Evaluation Index (AGILE Index). - Yi Zeng 001; Enmeng Lu; Xin Guan; Cunqing Huangfu; Zizhe Ruan; Ammar Younas; Kang Sun; Xuan Tang; Yuwei Wang; Hongjie Suo; Dongqi Liang; Zhengqiang Han; et al. (CoRR, 2025)

Spiking World Model with Multi-Compartment Neurons for Model-based Reinforcement Learning. - Yinqian Sun; Feifei Zhao; Mingyang Lv; Yi Zeng 001 (CoRR, 2025)

Biologically Inspired Spiking Diffusion Model with Adaptive Lateral Selection Mechanism. - Linghao Feng; Dongcheng Zhao; Sicheng Shen; Yi Zeng 001 (CoRR, 2025)

Continual Learning of Multiple Cognitive Functions with Brain-inspired Temporal Development Mechanism. - Bing Han 010; Feifei Zhao; Yinqian Sun; Wenxuan Pan; Yi Zeng 001 (CoRR, 2025)

Redefining Superalignment: From Weak-to-Strong Alignment to Human-AI Co-Alignment to Sustainable Symbiotic Society. - Yi Zeng 001; Feifei Zhao; Yuwei Wang; Enmeng Lu; Yaodong Yang 001; Lei Wang; Chao Liu; Yitao Liang; Dongcheng Zhao; Bing Han 010; Haibo Tong; Yao Liang; et al. (CoRR, 2025)

Exploiting High Performance Spiking Neural Networks With Efficient Spiking Patterns. - Guobin Shen; Dongcheng Zhao; Yi Zeng 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligence. - Xiang He 004; Dongcheng Zhao; Yang Li 141; Qingqun Kong; Xin Yang 001; Yi Zeng 001 (CoRR, 2025)

STEP: A Unified Spiking Transformer Evaluation Platform for Fair and Reproducible Benchmarking. - Sicheng Shen; Dongcheng Zhao; Linghao Feng; Zeyang Yue; Jindong Li 001; Tenglong Li; Guobin Shen; Yi Zeng 001 (CoRR, 2025)

FireFly-T: High-Throughput Sparsity Exploitation for Spiking Transformer Acceleration with Dual-Engine Overlay Architecture. - Tenglong Li; Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (CoRR, 2025)

PandaGuard: Systematic Evaluation of LLM Safety against Jailbreaking Attacks. - Guobin Shen; Dongcheng Zhao; Linghao Feng; Xiang He 004; Jihang Wang; Sicheng Shen; Haibo Tong; Yiting Dong; Jindong Li 001; Xiang Zheng; Yi Zeng 001 (CoRR, 2025)

CVC: A Large-Scale Chinese Value Rule Corpus for Value Alignment of Large Language Models. - Ping Wu; Guobin Shen; Dongcheng Zhao; Yuwei Wang; Yiting Dong; Yu Shi; Enmeng Lu; Feifei Zhao; Yi Zeng 001 (CoRR, 2025)

Hummingbird: A Smaller and Faster Large Language Model Accelerator on Embedded FPGA. - Jindong Li 001; Tenglong Li; Ruiqi Chen; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (CoRR, 2025)

AI Governance InternationaL Evaluation Index (AGILE Index) 2025. - Yi Zeng 001; Enmeng Lu; Xiaoyang Guo; Cunqing Huangfu; Jiawei Xie; Yu Chen; Zhengqi Wang; Dongqi Liang; Gongce Cao; Jin Wang; Zizhe Ruan; Xin Guan; et al. (CoRR, 2025)

Fine-Grained Safety Neurons with Training-Free Continual Projection to Reduce LLM Fine Tuning Risks. - Bing Han 010; Feifei Zhao; Dongcheng Zhao; Guobin Shen; Ping Wu; Yu Shi; Yi Zeng 001 (CoRR, 2025)

FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration With Reconfigurable Spatial Architecture. - Tenglong Li; Jindong Li 001; Guobin Shen; Dongcheng Zhao; Qian Zhang 080; Yi Zeng 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2025)