Kay Chen Tan

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All published works

Action	Title	Year	Authors
+ PDF Chat	EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning	2025	Bowen Zheng Ran Cheng Kay Chen Tan
+ PDF Chat	ParetoLens: A Visual Analytics Framework for Exploring Solution Sets of Multi-objective Evolutionary Algorithms	2025	Yuxin Ma Zherui Zhang Ran Cheng Yaochu Jin Kay Chen Tan
+ PDF Chat	MBL-CPDP: A Multi-objective Bilevel Method for Cross-Project Defect Prediction via Automated Machine Learning	2024	Jiaxin Chen Jinliang Ding Kay Chen Tan Jiancheng Qian Ke Li
+ PDF Chat	Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization	2024	Zeyuan Ma Hongshu Guo Yue-Jiao Gong Jun Zhang Kay Chen Tan
+ PDF Chat	Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet	2024	Xiang Hao Chenxiang Ma Yang Qu Jibin Wu Kay Chen Tan
+ PDF Chat	HM3: Hierarchical Multi-Objective Model Merging for Pretrained Models	2024	Yu Zhou Xingyu Wu Jibin Wu Feng Liang Kay Chen Tan
+ PDF Chat	Advancing Automated Knowledge Transfer in Evolutionary Multitasking via Large Language Models	2024	Yuxiao Huang Xueqin Lv Shenghao Wu Jibin Wu Liang Feng Kay Chen Tan
+ PDF Chat	PMSN: A Parallel Multi-compartment Spiking Neuron for Multi-scale Temporal Processing	2024	X Y Chen Jibin Wu Chenxiang Ma Y J Yan Yujie Wu Kay Chen Tan
+ PDF Chat	Solving Expensive Optimization Problems in Dynamic Environments With Meta-Learning	2024	H. Q. Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li
+ PDF Chat	Design Principle Transfer in Neural Architecture Search via Large Language Models	2024	Xun Zhou Liang Feng Xingyu Wu Zhichao Lu Kay Chen Tan
+ PDF Chat	Crystalline Material Discovery in the Era of Artificial Intelligence	2024	Zhenzhong Wang Haowei Hua Wanyu Lin Ming Yang Kay Chen Tan
+ PDF Chat	Surrogate-Assisted Search with Competitive Knowledge Transfer for Expensive Optimization	2024	Xiaoming Xue Yao Hu Liang Feng Kai Zhang Linqi Song Kay Chen Tan
+ PDF Chat	Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation	2024	Xingyu Wu Yan Zhong Jibin Wu Bingbing Jiang Kay Chen Tan
+ PDF Chat	Learning to Transfer for Evolutionary Multitasking	2024	Sheng-Hao Wu Yuxiao Huang Xingyu Wu Liang Feng Zhi‐Hui Zhan Kay Chen Tan
+ PDF Chat	Towards multi-objective high-dimensional feature selection via evolutionary multitasking	2024	Yinglan Feng Liang Feng Songbai Liu Sam Kwong Kay Chen Tan
+ PDF Chat	Towards Next Era of Multi-objective Optimization: Large Language Models as Architects of Evolutionary Operators	2024	Yuxiao Huang Shenghao Wu Wenjie Zhang Jibin Wu Liang Feng Kay Chen Tan
+ PDF Chat	Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models	2024	Zhenzhong Wang Zehui Lin Wanyu Lin Ming Yang Minggang Zeng Kay Chen Tan
+ PDF Chat	Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection	2024	Xingyu Wu Yan Zhong Jibin Wu Yuxiao Huang Shenghao Wu Kay Chen Tan
+ PDF Chat	Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization	2024	Zeyi Wang Songbai Liu Jianyong Chen Kay Chen Tan
+ PDF Chat	Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach	2024	Haokai Hong Min Jiang Qiuzhen Lin Kay Chen Tan
+ PDF Chat	Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data	2024	Zhenzhong Wang Zeng Qing-yuan Wanyu Lin Min Jiang Kay Chen Tan
+ PDF Chat	Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models	2024	Beichen Huang Xingyu Wu Yu Zhou Jibin Wu Liang Feng Ran Cheng Kay Chen Tan
+ PDF Chat	CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models	2024	Yu Zhou Xingyu Wu Beicheng Huang Jibin Wu Feng Liang Kay Chen Tan
+ PDF Chat	Diffusion-Driven Domain Adaptation for Generating 3D Molecules	2024	Haokai Hong Wanyu Lin Kay Chen Tan
+	An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations	2024	Lulu Cao Yufei Liu Zhenzhong Wang Dejun Xu Kai Ye Kay Chen Tan Min Jiang
+ PDF Chat	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling	2024	Shimin Zhang Yang Qu Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan
+ PDF Chat	How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems	2024	Yuxiao Huang Wei Zhang Liang Feng Xingyu Wu Kay Chen Tan
+ PDF Chat	Scaling Supervised Local Learning with Augmented Auxiliary Networks	2024	Chenxiang Ma Jibin Wu Chenyang Si Kay Chen Tan
+ PDF Chat	Efficient Online Learning for Networks of Two-Compartment Spiking Neurons	2024	Yujia Yin Xinyi Chen Chenxiang Ma Jibin Wu Kay Chen Tan
+	Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking	2024	Yinglan Feng Liang Feng Songbai Liu Sam Kwong Kay Chen Tan
+	Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap	2024	Xingyu Wu Sheng-hao Wu Jibin Wu Feng Liang Kay Chen Tan
+ PDF Chat	EvoX: A Distributed GPU-Accelerated Framework for Scalable Evolutionary Computation	2024	Beichen Huang Ran Cheng Zhuozhao Li Yaochu Jin Kay Chen Tan
+ PDF Chat	Surrogate-Assisted Search With Competitive Knowledge Transfer for Expensive Optimization	2024	Xiaoming Xue Yao Hu Liang Feng Kai Zhang Linqi Song Kay Chen Tan
+ PDF Chat	BiRP: Learning Robot Generalized Bimanual Coordination Using Relative Parameterization Method on Human Demonstration	2023	Junjia Liu Hengyi Sim Chenzui Li Kay Chen Tan Fei Chen
+ PDF Chat	A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks	2023	Xinyi Chen Yang Qu Jibin Wu Haizhou Li Kay Chen Tan
+ PDF Chat	LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding	2023	Yang Qu Malu Zhang Jibin Wu Kay Chen Tan Haizhou Li
+ PDF Chat	SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer	2023	Junjia Liu Zhihao Li Wanyu Lin Sylvain Calinon Kay Chen Tan Fei Chen
+ PDF Chat	An Evolutionary Multitasking Algorithm With Multiple Filtering for High-Dimensional Feature Selection	2023	Lingjie Li Manlin Xuan Qiuzhen Lin Min Jiang Zhong Ming Kay Chen Tan
+ PDF Chat	A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization	2023	Songbai Liu Qiuzhen Lin Jianqiang Li Kay Chen Tan
+ PDF Chat	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment	2023	Zhichao Lu Ran Cheng Yaochu Jin Kay Chen Tan Kalyanmoy Deb
+ PDF Chat	Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics	2023	Ye Tian Xingyi Zhang Cheng He Kay Chen Tan Yaochu Jin
+	EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation	2023	Beichen Huang Ran Cheng Yaochu Jin Kay Chen Tan
+	A Recommender System Approach for Very Large-scale Multiobjective Optimization	2023	Haokai Hong Min Jiang Jonathan M. Garibaldi Qiuzhen Lin Kay Chen Tan
+	A Survey on Distributed Evolutionary Computation	2023	Wei‐Neng Chen Feng-Feng Wei Tian-Fang Zhao Kay Chen Tan Jun Zhang
+	A Scalable Test Problem Generator for Sequential Transfer Optimization	2023	Xiaoming Xue Cuie Yang Feng Liang Kai Zhang Linqi Song Kay Chen Tan
+	A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks	2023	Xinyi Chen Qu Yang Jibin Wu Haizhou Li Kay Chen Tan
+	Long Short-term Memory with Two-Compartment Spiking Neuron	2023	Shimin Zhang Yang Qu Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan
+	TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling	2023	Shimin Zhang Yang Qu Chenxiang Ma Jibin Wu Haizhou Li Kay Chen Tan
+	Unleashing the Potential of Spiking Neural Networks for Sequential Modeling with Contextual Embedding	2023	Xinyi Chen Jibin Wu Huajin Tang Qinyuan Ren Kay Chen Tan
+	Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction	2023	Xiang Hao Jibin Wu Jianwei Yu Chenglin Xu Kay Chen Tan
+	Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning	2023	Huan Zhang Jinliang Ding Feng Liang Kay Chen Tan Ke Li
+	LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding	2023	Qu Yang Malu Zhang Jibin Wu Kay Chen Tan Haizhou Li
+	SE Territory: Monaural Speech Enhancement Meets the Fixed Virtual Perceptual Space Mapping	2023	Xinmeng Xu Jibin Wu Xiao-Yong Wei Yan Liu Richard H. Y. So Yuhong Yang Weiping Tu Kay Chen Tan
+	Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation	2023	Xingyu Wu Yan Zhong Jibin Wu Kay Chen Tan
+ PDF Chat	Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism	2022	Haokai Hong Min Jiang Feng Liang Qiuzhen Lin Kay Chen Tan
+ PDF Chat	A Multipopulation Multiobjective Ant Colony System Considering Travel and Prevention Costs for Vehicle Routing in COVID-19-Like Epidemics	2022	Jian-Yu Li Xinyi Deng Zhi‐Hui Zhan Liang Yu Kay Chen Tan Kuei‐Kuei Lai Jun Zhang
+ PDF Chat	Solving large-scale multiobjective optimization via the probabilistic prediction model	2022	Haokai Hong Kai Ye Min Jiang Donglin Cao Kay Chen Tan
+	Unravelling Distance-Dependent Inter-Site Interactions and Magnetic Transition Effects of Heteronuclear Single Atom Catalysts on Electrochemical Oxygen Reduction	2022	Tong Yang Jun Zhou Xiaoyang Ma Keda Ding Kay Chen Tan Ge Wang Haitao Huang Ming Yang
+	Architecture Augmentation for Performance Predictor Based on Graph Isomorphism	2022	Xiangning Xie Yuqiao Liu Yanan Sun Mengjie Zhang Kay Chen Tan
+	Neural Architecture Search as Multiobjective Optimization Benchmarks: Problem Formulation and Performance Assessment	2022	Zhichao Lu Ran Cheng Yaochu Jin Kay Chen Tan Kalyanmoy Deb
+	Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism	2022	Haokai Hong Min Jiang Feng Liang Qiuzhen Lin Kay Chen Tan
+	An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection	2022	Lingjie Li Manlin Xuan Qiuzhen Lin Min Jiang Zhong Ming Kay Chen Tan
+	Differentiable Search of Accurate and Robust Architectures	2022	Yuwei Ou Xiangning Xie Shangce Gao Yanan Sun Kay Chen Tan Jiancheng Lv
+ PDF Chat	Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	2021	Zhenzhong Wang Haokai Hong Kai Ye Guang-en Zhang Min Jiang Kay Chen Tan
+ PDF Chat	Progressive Tandem Learning for Pattern Recognition With Deep Spiking Neural Networks	2021	Jibin Wu Chenglin Xu Xiao Han Daquan Zhou Malu Zhang Haizhou Li Kay Chen Tan
+ PDF Chat	A Survey on Evolutionary Neural Architecture Search	2021	Yuqiao Liu Yanan Sun Bing Xue Mengjie Zhang Gary G. Yen Kay Chen Tan
+ PDF Chat	A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks	2021	Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan
+ PDF Chat	Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model	2021	Haokai Hong Kai Ye Min Jiang Donglin Cao Kay Chen Tan
+ PDF Chat	Synaptic Learning With Augmented Spikes	2021	Qiang Yu Shiming Song Chenxiang Ma Linqiang Pan Kay Chen Tan
+ PDF Chat	Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes	2021	Qiang Yu Chenxiang Ma Shiming Song Gaoyan Zhang Jianwu Dang Kay Chen Tan
+	Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks	2021	Zhenzhong Wang Haokai Hong Kai Ye Min Jiang Kay Chen Tan
+	Multi-Space Evolutionary Search for Large-Scale Optimization	2021	Liang Feng Qingxia Shang Yaqing Hou Kay Chen Tan Yew-Soon Ong
+ PDF Chat	Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model	2021	Haokai Hong Kai Ye Min Jiang Kay Chen Tan
+	Principled Design of Translation, Scale, and Rotation Invariant Variation Operators for Metaheuristics	2021	Ye Tian Xingyi Zhang Cheng He Kay Chen Tan Yaochu Jin
+	Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model	2021	Haokai Hong Kai Ye Min Jiang Donglin Cao Kay Chen Tan
+	Benchmark Problems for CEC2021 Competition on Evolutionary Transfer Multiobjectve Optimization	2021	Songbai Liu Qiuzhen Lin Kay Chen Tan Qing Li
+ PDF Chat	Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks	2020	Jibin Wu Chenglin Xu Daquan Zhou Haizhou Li Kay Chen Tan
+ PDF Chat	Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)	2020	Cheng He S. Huang Ran Cheng Kay Chen Tan Yaochu Jin
+ PDF Chat	Toward Efficient Processing and Learning With Spikes: New Approaches for Multispike Learning	2020	Qiang Yu Shenglan Li Huajin Tang Longbiao Wang Jianwu Dang Kay Chen Tan
+ PDF Chat	Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning	2020	Qiang Yu Yanli Yao Longbiao Wang Huajin Tang Jianwu Dang Kay Chen Tan
+ PDF Chat	Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition	2020	Jibin Wu Emre Yılmaz Malu Zhang Haizhou Li Kay Chen Tan
+	Understanding the Automated Parameter Optimization on Transfer Learning for CPDP: An Empirical Study	2020	Ke Li Zilin Xiang Tao Chen Shuo Wang Kay Chen Tan
+	Progressive Tandem Learning for Pattern Recognition with Deep Spiking Neural Networks	2020	Jibin Wu Chenglin Xu Daquan Zhou Haizhou Li Kay Chen Tan
+	BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction	2020	Ke Li Zilin Xiang Tao Chen Kay Chen Tan
+	Evolutionary Gait Transfer of Multi-Legged Robots in Complex Terrains	2020	Min Jiang Guokun Chi Geqiang Pan Shihui Guo Kay Chen Tan
+ PDF Chat	Evolutionary Dynamic Multi-objective Optimization via Regression Transfer Learning	2019	Zhenzhong Wang Min Jiang Xing Gao Liang Feng Weizhen Hu Kay Chen Tan
+ PDF Chat	Online Bagging for Anytime Transfer Learning	2019	Guokun Chi Min Jiang Xing Gao Weizhen Hu Shihui Guo Kay Chen Tan
+	Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks	2019	Cheng He S. Huang Ran Cheng Kay Chen Tan Yaochu Jin
+	A Hybrid Learning Rule for Efficient and Rapid Inference with Spiking Neural Networks.	2019	Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan
+	A Tandem Learning Rule for Efficient and Rapid Inference on Deep Spiking Neural Networks	2019	Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan
+ PDF Chat	Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution	2019	Ke Li Zilin Xiang Kay Chen Tan
+ PDF Chat	Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine	2019	Weizhen Hu Min Jiang Xing Gao Kay Chen Tan Yiu‐ming Cheung
+	Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning	2019	Qiang Yu Yanli Yao Longbiao Wang Huajin Tang Jianwu Dang Kay Chen Tan
+	Which Surrogate Works for Empirical Performance Modelling? A Case Study with Differential Evolution	2019	Ke Li Zilin Xiang Kay Chen Tan
+	Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning	2019	Zhengzhong Wang Min Jiang Xing Gao Liang Feng Weizhen Hu Kay Chen Tan
+	Online Bagging for Anytime Transfer Learning	2019	Guokun Chi Min Jiang Xing Gao Weizhen Hu Shihui Guo Kay Chen Tan
+	Deep Spiking Neural Networks for Large Vocabulary Automatic Speech Recognition	2019	Jibin Wu Emre Yılmaz Malu Zhang Haizhou Li Kay Chen Tan
+	A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks	2019	Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan
+	Evolutionary Multi-Objective Optimization Driven by Generative Adversarial Networks	2019	Cheng He Shihua Huang Ran Cheng Kay Chen Tan Yaochu Jin
+	Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)	2019	Cheng He Shihua Huang Ran Cheng Kay Chen Tan Yaochu Jin
+ PDF Chat	A Cost-Sensitive Deep Belief Network for Imbalanced Classification	2018	Chong Zhang Kay Chen Tan Haizhou Li Geok Soon Hong
+ PDF Chat	Solving dynamic multi-objective optimization problems via support vector machine	2018	Min Jiang Weizhen Hu Liming Qiu Minghui Shi Kay Chen Tan
+	A Multi-State Diagnosis and Prognosis Framework with Feature Learning for Tool Condition Monitoring	2018	Chong Zhang Geok Soon Hong Junhong Zhou Kay Chen Tan Haizhou Li Huan Xu Jihoon Hong Hian-Leng Chan
+	A Cost-Sensitive Deep Belief Network for Imbalanced Classification	2018	Chong Zhang Kay Chen Tan Haizhou Li Geok Soon Hong
+	A combined differential evolution and NSGA-II approach for parametric optimization of a cancer immunotherapy model	2017	Weinan Xu Jian‐Xin Xu Danhua He Kay Chen Tan
+	Evolutionary Multitasking for Multiobjective Continuous Optimization: Benchmark Problems, Performance Metrics and Baseline Results	2017	Yuan Yuan Yew-Soon Ong Liang Feng A. K. Qin Abhishek Gupta Bingshui Da Qingfu Zhang Kay Chen Tan Yaochu Jin Hisao Ishibuchi
+	Enhancing exploration in differential evolution via exponential recombination	2016	Xin Qiu Jian‐Xin Xu Kay Chen Tan
+	Automating the drug scheduling of cancer chemotherapy via evolutionary computation	2003	Kay Chen Tan T.H. Lee Jianfeng Cai Y.H. Chew
+ PDF Chat	An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-objective Optimization	2003	Kay Chen Tan E.F. Khor T.H. Lee R. Sathikannan
+	Automating the drug scheduling of cancer chemotherapy via evolutionary computation	2002	Kay Chen Tan E.F. Khor Jianfeng Cai C. M. Heng T.H. Lee

Common Coauthors

Coauthor	Papers Together
Jibin Wu	31
Min Jiang	20
Haizhou Li	19
Liang Feng	13
Yaochu Jin	12
Haokai Hong	11
Ran Cheng	11
Chenxiang Ma	9
Malu Zhang	9
Qiuzhen Lin	8
Xingyu Wu	8
Feng Liang	7
Cheng He	6
Weizhen Hu	6
Qiang Yu	5
Wanyu Lin	5
Songbai Liu	5
Zhenzhong Wang	5
Yansong Chua	4
Ke Li	4
Xing Gao	4
Guoqi Li	4
Chenglin Xu	4
Zilin Xiang	4
Huajin Tang	4
Jianwu Dang	4
Yuxiao Huang	4
Geok Soon Hong	3
Zhichao Lu	3
Kai Zhang	3
Beichen Huang	3
Yang Qu	3
Shenghao Wu	3
Jinliang Ding	3
Longbiao Wang	3
Daquan Zhou	3
Xinyi Chen	3
Linqi Song	3
Xiaoming Xue	3
Guokun Chi	3
Kai Ye	3
Chong Zhang	2
Jun Zhang	2
Mengjie Zhang	2
Zhi‐Hui Zhan	2
Manlin Xuan	2
Kalyanmoy Deb	2
Jianfeng Cai	2
Xiangning Xie	2
Fei Chen	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	None	1997	Rainer Storn Kenneth V. Price	9
+ PDF Chat	Going Deeper in Spiking Neural Networks: VGG and Residual Architectures	2019	Abhronil Sengupta Yuting Ye Robert Wang Chiao Liu Kaushik Roy	9
+ PDF Chat	Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms	2017	Min Jiang Zhongqiang Huang Liming Qiu Wenzhen Huang Gary G. Yen	8
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	8
+ PDF Chat	Evolutionary Multiobjective Optimization Driven by Generative Adversarial Networks (GANs)	2020	Cheng He S. Huang Ran Cheng Kay Chen Tan Yaochu Jin	7
+ PDF Chat	Deep learning in spiking neural networks	2018	Amirhossein Tavanaei Masoud Ghodrati Saeed Reza Kheradpisheh Timothée Masquelier Anthony S. Maida	6
+	Direct Training for Spiking Neural Networks: Faster, Larger, Better	2019	Yujie Wu Lei Deng Guoqi Li Jun Zhu Yuan Xie Luping Shi	6
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks	2021	Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan	5
+ PDF Chat	Training deep neural networks for binary communication with the Whetstone method	2019	William Severa Craig M. Vineyard Ryan Dellana Stephen Verzi James B. Aimone	5
+	Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1	2016	Matthieu Courbariaux Itay Hubara Daniel Soudry Ran El‐Yaniv Yoshua Bengio	5
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	5
+ PDF Chat	Dynamic Multiobjectives Optimization With a Changing Number of Objectives	2017	Renzhi Chen Ke Li Xin Yao	5
+	Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks	2018	Yujie Wu Lei Deng Guoqi Li Jun Zhu Luping Shi	5
+ PDF Chat	SuperSpike: Supervised Learning in Multilayer Spiking Neural Networks	2018	Friedemann Zenke Surya Ganguli	4
+ PDF Chat	Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures	2020	Chankyu Lee Syed Shakib Sarwar Priyadarshini Panda Gopalakrishnan Srinivasan Kaushik Roy	4
+	Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation	2020	Nitin Rathi Gopalakrishnan Srinivasan Priyadarshini Panda Kaushik Roy	4
+	Spiking Deep Residual Network	2018	Yangfan Hu Huajin Tang Gang Pan	4
+	Surrogate Gradient Learning in Spiking Neural Networks	2019	Emre Neftci Hesham Mostafa Friedemann Zenke	4
+ PDF Chat	Supervised Learning Based on Temporal Coding in Spiking Neural Networks	2017	Hesham Mostafa	4
+ PDF Chat	Manifold Interpolation for Large-Scale Multiobjective Optimization via Generative Adversarial Networks	2021	Zhenzhong Wang Haokai Hong Kai Ye Guang-en Zhang Min Jiang Kay Chen Tan	3
+ PDF Chat	Deep Spiking Neural Network with Spike Count based Learning Rule	2019	Jibin Wu Yansong Chua Malu Zhang Yang Qu Guoqi Li Haizhou Li	3
+ PDF Chat	First-Spike-Based Visual Categorization Using Reward-Modulated STDP	2018	Milad Mozafari Saeed Reza Kheradpisheh Timothée Masquelier Abbas Nowzari-Dalini ‎Mohammad Ganjtabesh	3
+ PDF Chat	Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model	2021	Haokai Hong Kai Ye Min Jiang Kay Chen Tan	3
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	3
+ PDF Chat	Improved Regularity Model-Based EDA for Many-Objective Optimization	2018	Yanan Sun Gary G. Yen Yi Zhang	3
+ PDF Chat	Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization	2017	Mengyuan Wu Ke Li Sam Kwong Yu Zhou Qingfu Zhang	3
+ PDF Chat	STDP-based spiking deep convolutional neural networks for object recognition	2017	Saeed Reza Kheradpisheh ‎Mohammad Ganjtabesh Simon J. Thorpe Timothée Masquelier	3
+	A Tandem Learning Rule for Efficient and Rapid Inference on Deep Spiking Neural Networks	2019	Jibin Wu Yansong Chua Malu Zhang Guoqi Li Haizhou Li Kay Chen Tan	3
+ PDF Chat	Robust Environmental Sound Recognition With Sparse Key-Point Encoding and Efficient Multispike Learning	2020	Qiang Yu Yanli Yao Longbiao Wang Huajin Tang Jianwu Dang Kay Chen Tan	3
+	Long short-term memory and Learning-to-learn in networks of spiking neurons	2018	Guillaume Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass	3
+	Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation	2013	Yoshua Bengio Nicholas Léonard Aaron Courville	3
+	WaveNet: A Generative Model for Raw Audio	2016	Aäron van den Oord Sander Dieleman Heiga Zen Karen Simonyan Oriol Vinyals Alexander Graves Nal Kalchbrenner Andrew Senior Koray Kavukcuoglu	3
+ PDF Chat	Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes	2019	Chaofei Hong Xile Wei Jiang Wang Bin Deng Haitao Yu Yanqiu Che	3
+ PDF Chat	Preselection via classification: A case study on evolutionary multiobjective optimization	2018	Jinyuan Zhang Aimin Zhou Ke Tang Guixu Zhang	3
+ PDF Chat	Two-Archive Evolutionary Algorithm for Constrained Multiobjective Optimization	2018	Ke Li Renzhi Chen Guangtao Fu Xin Yao	3
+	The High-Dimensional Geometry of Binary Neural Networks	2017	Alexander G. Anderson Cory P. Berg	3
+	Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks	2018	Yingyezhe Jin Wenrui Zhang Peng Li	3
+	SLAYER: Spike Layer Error Reassignment in Time	2018	Sumit Bam Shrestha Garrick Orchard	3
+ PDF Chat	Evolutionary Many-Objective Optimization Based on Adversarial Decomposition	2018	Mengyuan Wu Ke Li Sam Kwong Qingfu Zhang	3
+ PDF Chat	Convolutional networks for fast, energy-efficient neuromorphic computing	2016	Steven K. Esser Paul Merolla John V. Arthur Andrew Cassidy Rathinakumar Appuswamy Alexander Andreopoulos David Van Den Berg Jeffrey L. McKinstry Timothy Melano Davis Barch	3
+	Training Spiking Deep Networks for Neuromorphic Hardware	2016	Eric Hunsberger Chris Eliasmith	3
+ PDF Chat	SDR – Half-baked or Well Done?	2019	Jonathan Le Roux Scott Wisdom Hakan Erdoğan John R. Hershey	3
+ PDF Chat	Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference	2018	Benoit Jacob Skirmantas Kligys Bo Chen Menglong Zhu Matthew F. Tang Andrew Howard Hartwig Adam Dmitry Kalenichenko	3
+ PDF Chat	HFirst: A Temporal Approach to Object Recognition	2015	Garrick Orchard Cédric Meyer Ralph Etienne‐Cummings C. Posch Nitish V. Thakor Ryad Benosman	2
+	Optimal Control of Drug Administration in Cancer Chemotherapy	1993	Rory Martin Kok Lay Teo	2
+ PDF Chat	Light Gated Recurrent Units for Speech Recognition	2018	Mirco Ravanelli Philémon Brakel Maurizio Omologo Yoshua Bengio	2
+	A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets	2017	Patryk Chrabąszcz Ilya Loshchilov Frank Hutter	2
+ PDF Chat	FEMOSAA	2018	Tao Chen Ke Li Rami Bahsoon Xin Yao	2
+	A systematic mapping study on cross-project defect prediction	2017	Steffen Herbold	2