Liang Feng

Liang Feng

Chongqing University

H-index: 37

Asia-China

About Liang Feng

Liang Feng, With an exceptional h-index of 37 and a recent h-index of 36 (since 2020), a distinguished researcher at Chongqing University, specializes in the field of Computational Intelligence, Transfer Optimization, Multi-Task Optimization, Multi-Agent System, Memetic Computation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy

Accelerate Solving Expensive Scheduling by Leveraging Economical Auxiliary Tasks

Q-learning with heterogeneous update strategy

Liang Feng Information

University

Position

___

Citations(all)

6131

Citations(since 2020)

5429

Cited By

2295

hIndex(all)

37

hIndex(since 2020)

36

i10Index(all)

87

i10Index(since 2020)

82

Email

University Profile Page

Chongqing University

Google Scholar

View Google Scholar Profile

Liang Feng Skills & Research Interests

Computational Intelligence

Transfer Optimization

Multi-Task Optimization

Multi-Agent System

Memetic Computation

Top articles of Liang Feng

Title

Journal

Author(s)

Publication Date

Reinforcement Learning With Adaptive Policy Gradient Transfer Across Heterogeneous Problems

Gengzhi Zhang

Liang Feng

Yu Wang

Min Li

Hong Xie

...

2024/2/26

Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap

Xingyu Wu

Sheng-hao Wu

Jibin Wu

Liang Feng

Kay Chen Tan

2024/1/18

CausalBench: A Comprehensive Benchmark for Causal Learning Capability of Large Language Models

arXiv preprint arXiv:2404.06349

Yu Zhou

Xingyu Wu

Beicheng Huang

Jibin Wu

Liang Feng

...

2024/4/9

Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking

arXiv preprint arXiv:2401.01563

Yinglan Feng

Liang Feng

Songbai Liu

Sam Kwong

Kay Chen Tan

2024/1/3

Exploring the True Potential: Evaluating the Black-box Optimization Capability of Large Language Models

arXiv preprint arXiv:2404.06290

Beichen Huang

Xingyu Wu

Yu Zhou

Jibin Wu

Liang Feng

...

2024/4/9

Evolutionary Multitask Optimization With Lower Confidence Bound-Based Solution Selection Strategy

IEEE Transactions on Evolutionary Computation

Zhenzhong Wang

Lulu Cao

Liang Feng

Min Jiang

Kay Chen Tan

2024/1/2

Accelerate Solving Expensive Scheduling by Leveraging Economical Auxiliary Tasks

arXiv preprint arXiv:2404.01018

Minshuo Li

Bo Liu

Bin Xin

Liang Feng

Peng Li

2024/4/1

Q-learning with heterogeneous update strategy

Information Sciences

Tao Tan

Hong Xie

Liang Feng

2024/1/1

How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems

arXiv preprint arXiv:2403.01757

Yuxiao Huang

Wenjie Zhang

Liang Feng

Xingyu Wu

Kay Chen Tan

2024/3/4

Towards Evolutionary Multi-Task Convolutional Neural Architecture Search

IEEE Transactions on Evolutionary Computation

Xun Zhou

Zhenkun Wang

Liang Feng

Songbai Liu

Ka-Chun Wong

...

2023/12/29

Dynamic Multi-Objective Optimization Framework With Interactive Evolution for Sequential Recommendation

IEEE Transactions on Emerging Topics in Computational Intelligence

Wei Zhou

Yong Liu

Min Li

Yu Wang

Zhiqi Shen

...

2023/3/14

A twin learning framework for traveling salesman problem based on autoencoder, graph filter, and transfer learning

IEEE Transactions on Consumer Electronics

Junjun Wu

Hanshi Yang

Yan Zeng

Zhou Wu

Jiepeng Liu

...

2023/5/3

Surrogate-Assisted Morphology Optimization by Genetic Algorithms

Jinlin Jiang

Yongchao Chen

Wenbin Pei

Junxiang Zhang

Yaqing Hou

...

2023/7/1

Solution Transfer in Evolutionary Optimization: An Empirical Study on Sequential Transfer

IEEE Transactions on Evolutionary Computation

Xiaoming Xue

Cuie Yang

Liang Feng

Kai Zhang

Linqi Song

...

2023/12/5

A Scalable Test Problem Generator for Sequential Transfer Optimization

arXiv preprint arXiv:2304.08503

Xiaoming Xue

Cuie Yang

Liang Feng

Kai Zhang

Linqi Song

...

2023/4/17

Two-stage Neural Architecture Optimization with Separated Training and Search

Longze He

Boyu Hou

Junwei Dong

Liang Feng

2023/6/18

A Multi-Form Evolutionary Search Paradigm for Bi-level Multi-Objective Optimization

IEEE Transactions on Evolutionary Computation

Yinglan Feng

Liang Feng

Sam Kwong

Kay Chen Tan

2023/11/15

Machine Learning Assisted Evolutionary Multi-Objective Optimization [Guest Editorial]

IEEE Computational Intelligence Magazine

Xingyi Zhang

Ran Cheng

Liang Feng

Yaochu Jin

2023/4/13

Boosting Prompt-Based Few-Shot Learners Through Out-of-Domain Knowledge Distillation

Xiaoqing Chen

Chengyu Wang

Junwei Dong

Minghui Qiu

Liang Feng

...

2023/6/4

Evolutionary Multitasking With Centralized Learning for Large-Scale Combinatorial Multi-Objective Optimization

IEEE Transactions on Evolutionary Computation

Yuxiao Huang

Wei Zhou

Yu Wang

Min Li

Liang Feng

...

2023/10/11

See List of Professors in Liang Feng University(Chongqing University)

Co-Authors

H-index: 74
Ivor W. Tsang, IEEE Fellow

Ivor W. Tsang, IEEE Fellow

University of Technology

H-index: 47
Kai (Alex) Qin

Kai (Alex) Qin

Swinburne University of Technology

H-index: 46
Ah-Hwee Tan

Ah-Hwee Tan

Singapore Management University

academic-engine