Liang Feng

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All published works
Action Title Year Authors
+ PDF Chat TEC-CNN: Towards Efficient Compressing Convolutional Neural Nets with Low-rank Tensor Decomposition 2024 Yifan Wang
Liang Feng
F.F. Cai
Lusi Li
Rui Wu
Jie Li
+ 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 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 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 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 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
+ Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking 2024 Yinglan Feng
Liang Feng
Songbai Liu
Sam Kwong
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
+ Multi-Space Evolutionary Search for Large-Scale Optimization 2021 Liang Feng
Qingxia Shang
Yaqing Hou
Kay Chen Tan
Yew-Soon Ong
+ PDF Chat Vehicular Fog Computing Enabled Real-Time Collision Warning via Trajectory Calibration 2020 Xincao Xu
Kai Liu
Ke Xiao
Liang Feng
Zhou Wu
Songtao Guo
+ 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
+ Evolutionary Dynamic Multi-objective Optimization Via Regression Transfer Learning 2019 Zhengzhong Wang
Min Jiang
Xing Gao
Liang Feng
Weizhen Hu
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
+ Meme as Building Block for Evolutionary Optimization of Problem Instances 2012 Liang Feng
Yew-Soon Ong
Ah‐Hwee Tan
Ivor W. Tsang
+ The Stability and Uniqueness of Solution for Problem of Minimax 2004 Liang Feng
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Transfer Learning-Based Dynamic Multiobjective Optimization Algorithms 2017 Min Jiang
Zhongqiang Huang
Liming Qiu
Wenzhen Huang
Gary G. Yen
2
+ 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
2
+ PDF Chat Dynamic Multiobjectives Optimization With a Changing Number of Objectives 2017 Renzhi Chen
Ke Li
Xin Yao
2
+ Extended Differential Grouping for Large Scale Global Optimization with Direct and Indirect Variable Interactions 2015 Yuan Sun
Michael Kirley
Saman Halgamuge
1
+ Decompositions of a Higher-Order Tensor in Block Terms—Part II: Definitions and Uniqueness 2008 Lieven De Lathauwer
1
+ Rank-One Approximation to High Order Tensors 2001 Tong Zhang
Gene H. Golub
1
+ PDF Chat Multihop-Cluster-Based IEEE 802.11p and LTE Hybrid Architecture for VANET Safety Message Dissemination 2015 Seyhan Uçar
Sinem Coleri
Öznur Özkasap
1
+ PDF Chat Modern Multidimensional Scaling: Theory and Applications 2003 Ingwer Borg
P.A.P. Groenen
1
+ PDF Chat Higher Dimensional Consensus: Learning in Large-Scale Networks 2010 Usman A. Khan
Soummya Kar
José M. F. Moura
1
+ Parameter Estimates for Symmetric Stable Distributions 1971 Eugene F. Fama
Richard Roll
1
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization 2016 Abhishek Gupta
Yew-Soon Ong
1
+ An Introduction to Statistical Learning 2013 Gareth James
Daniela Witten
Trevor Hastie
Robert Tibshirani
1
+ PDF Chat Scaling Simultaneous Optimistic Optimization for High-Dimensional Non-Convex Functions with Low Effective Dimensions 2016 Hong Qian
Yang Yu
1
+ TensorLy: tensor learning in python 2019 Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
Maja Pantić
1
+ PDF Chat Road Extraction by Deep Residual U-Net 2018 Zhengxin Zhang
Qingjie Liu
Yunhong Wang
1
+ PDF Chat The Elements of Statistical Learning 2009 Trevor Hastie
Robert Tibshirani
Jerome H. Friedman
1
+ PDF Chat Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification 2020 Yanan Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
Jiancheng Lv
1
+ PDF Chat Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration 2019 Yang He
Ping Liu
Ziwei Wang
Zhilan Hu
Yi Yang
1
+ PDF Chat ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices 2018 Xiangyu Zhang
Xinyu Zhou
Mengxiao Lin
Jian Sun
1
+ PDF Chat MobileNetV2: Inverted Residuals and Linear Bottlenecks 2018 Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
1
+ PDF Chat Densely Connected Convolutional Networks 2017 Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
1
+ PDF Chat Skin lesion analysis toward melanoma detection: A challenge at the 2017 International symposium on biomedical imaging (ISBI), hosted by the international skin imaging collaboration (ISIC) 2018 Noel Codella
David Gutman
M. Emre Celebi
Brian Helba
Michael A. Marchetti
Stephen W. Dusza
Aadi Kalloo
Konstantinos Liopyris
Nabin K. Mishra
Harald Kittler
1
+ PDF Chat Evolving Deep Convolutional Neural Networks for Image Classification 2019 Yanan Sun
Bing Xue
Mengjie Zhang
Gary G. Yen
1
+ PDF Chat A Parallel Divide-and-Conquer-Based Evolutionary Algorithm for Large-Scale Optimization 2019 Peng Yang
Ke Tang
Xin Yao
1
+ Hyper-Parameter Optimization: A Review of Algorithms and Applications 2020 Tong Yu
Hong Zhu
1
+ PDF Chat CARS: Continuous Evolution for Efficient Neural Architecture Search 2020 Zhaohui Yang
Yunhe Wang
Xinghao Chen
Boxin Shi
Chao Xu
Chunjing Xu
Qi Tian
Chang Xu
1
+ PDF Chat On hyperparameter optimization of machine learning algorithms: Theory and practice 2020 Li Yang
Abdallah Shami
1
+ PDF Chat Meta-Learning in Neural Networks: A Survey 2021 Timothy M. Hospedales
Antreas Antoniou
Paul Micaelli
Amos Storkey
1
+ Automatic Selection of Tensor Decomposition for Compressing Convolutional Neural Networks A Case Study on VGG-type Networks 2021 Chia‐Chun Liang
Che–Rung Lee
1
+ PDF Chat Medical Transformer: Gated Axial-Attention for Medical Image Segmentation 2021 Jeya Maria Jose Valanarasu
Poojan Oza
Ilker Hacihaliloglu
Vishal M. Patel
1
+ PDF Chat Generative Multiform Bayesian Optimization 2022 Zhendong Guo
Haitao Liu
Yew-Soon Ong
Xinghua Qu
Yuzhe Zhang
Jianmin Zheng
1
+ PDF Chat Binary Representation via Jointly Personalized Sparse Hashing 2022 Xiaoqin Wang
Chen Chen
Rushi Lan
Licheng Liu
Zhenbing Liu
Huiyu Zhou
Xiaonan Luo
1
+ 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
1
+ PDF Chat A Data-Driven Evolutionary Transfer Optimization for Expensive Problems in Dynamic Environments 2023 Ke Li
Renzhi Chen
Xin Yao
1
+ PDF Chat YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors 2023 Chien-Yao Wang
Alexey Bochkovskiy
Hong-Yuan Mark Liao
1
+ None 1997 Rainer Storn
Kenneth V. Price
1
+ PDF Chat DepGraph: Towards Any Structural Pruning 2023 Gongfan Fang
Xinyin Ma
Mingli Song
Michael Bi Mi
Xinchao Wang
1
+ Tensor Deflation for CANDECOMP/PARAFAC— Part I: Alternating Subspace Update Algorithm 2015 Anh Huy Phan
Petr Tichavský
Andrzej Cichocki
1
+ Pattern Recognition and Machine Learning 2007 Christopher Bishop
1