Short Bio

He is currently an Associate Professor with the School of Artificial Intelligence, Xidian University. The main research topics are AI for Network Sciences, Automated Evolutionary Computation, Deep Learning for Time Series Analysis, Adversarial Machine Learning

I obtained my Ph.D. from Xidian University in 2020, under the supervision of Jing Liu. I received the B.S. degree from Xidian University, Xi’an, China, in 2015.

Collaborators and Students

Collaborators: Handing Wang, Jian Lou, Chao Wang

Master Students: Shuijing Zhang, Huixin Ma, Yuanyuan Li, Lanlan Chen, Xiaobin Li, Xinyu Guo, Tianyu Li, Yudong Yang, Beining Zhang, Yujian Li

News

[Oct 2024] ine paper is accepted by IEEE TMM.
[Sep 2024] Two paper is accepted by NeurIPS 2024. Congratulations, Yujian and Xiaobin!
[AUg 2024] One paper is accepted by IEEE TDSC.
[Jul 2024] One paper is accepted by ACM MM 2024.
[Jun 2024] One paper is accepted by IEEE TMI. Congratulations, Yingzhi!
[Jun 2024] One paper is accepted by IEEE TMI. Congratulations, Yingzhi!
[May 2024] One paper is accepted by ICML 2024. Congratulations, Xinyu!
[May 2024] One paper is accepted by Neurocomputing. Congratulations, Yingzhi!
[Apr 2024] One paper is accepted by IEEE TFS. Congratulations, Yingzhi!
[Mar 2024] One paper is accepted by GECCO 2024. Congratulations, Yudong!
[Dec 2023] One paper is accepted by AAAI 2024. Congratulations, Lanlan!
[Oct 2023] Announcing [SPELL: Semantic Prompt Evolution based on an LLM], proposing a semantic evolution algorithm for optimizing prompts in Language Models (LLMs).
[May 2023] One paper is accepted by Physical Review Research. Congratulations, Yuanyuan!
[Mar 2023] One paper is accepted by IEEE Transactions on Evolutionary Computation. Congratulations, Huixin!
[Feb 2023] One paper is accepted by Knowledge-based Systems. Congratulations, YiTong!
[Nov 2022] I Won Outstanding Doctoral Dissertation of Shaanxi Province.
[Nov 2022] One paper is accepted by Information Sciences. Congratulations, Yilu!
[Oct 2022] One paper is accepted by IEEE Computational Intelligence Magazine. Congratulations, Chao!
[Oct 2022] One paper is accepted by IEEE Transactions on Neural Networks and Learning Systems. Congratulations, Kaixin!
[Aug 2022] One paper is accepted by Engineering Applications of Artificial Intelligence. So far, all my work during my doctoral study has been settled!
[Aug 2022] I Won the Excellent Doctoral Dissertation of the 5th Conference on Intelligent Optimization and Scheduling in 2022!
[Aug 2022] One paper is accepted by Applied Soft Computing. Congratulations, Kaixin!
[Apr 2022] I Won the Excellent Doctoral Dissertation of Xidian University in 2022!

Research Topic

AI for Network Sciences

Causal inference.
Higher Order Networks, Hypergraphs, Network Reconstruction, Community Detection, Influence Maximization, Network Augmentation, Network Denoising, Network Robustness, Fuzzy Cognitive Maps.

Deep Learning/Generative Model for Evolutionary Algorithm

Machine Learning Assisted Evolutionary Optimization: Machine learning meet Evolutionary Agorithms
Deep Network Evolutionary Optimization: Meta learning + Evolutionary Agorithms > 2
Kinetic analysis of evolutionary optimization: Graph for EA
Traditional evolutionary optimization: large-scale optimization problems, expensive optimization problems, evolutionary multi-task learning, combinatorial optimization problems, evolutionary deep learning

Deep Learning for Time Series

Neural ODE + Graph
Time series classification, time series forecasting, time series clustering, time series modeling, time series anomaly detection, time series super-resolution, time series generation, time series interpolation, time series imputation

Adversarial Machine Learning

Adversarial Learning on Network Tasks
Adversarial Learning on Evolutionary Optimization
Adversarial Learning on Time Series Tasks