Team Member

Yikang Yang

Research Member

Student PhD Current Student

In Lab: 2024-09-01 - Present

Focuses on AIDAI and graph diffusion models.

Email: yangyikang23s@ict.ac.cn Updated: 2026-03-11

Profile

I am currently a Ph.D. student at the Institute of Computing Technology, Chinese Academy of Sciences. My research focuses on the emerging paradigm of Artificial Intelligence Designed Artificial Intelligence (AIDAI), where AI techniques are used to autonomously design AI systems.

I also work on graph generation, with a focus on graph diffusion models that generate realistic and diverse graph structures for practical applications.

Research Interests

Artificial Intelligence Designed Artificial Intelligence
Graph Diffusion Models

Publications

Browse Publications

Browsing Publications

Scope All Year All Type All Venue All

Year Type Venue Publications 4 Publications

2026

Paper

When AI Designs AI: Innovation or Imitation?

Paper

Preprint | Aug 18, 2026

Yikang Yang First Me Zhengxin Yang Corr. Luzhou Peng Minghao Luo Yanqi Kan Wanling Gao Jianfeng Zhan

First:

Yikang Yang

Corresponding:

Zhengxin Yang

Preprint

When AI Designs AI: Innovation or Imitation?

@misc{yang2026aidesignsaiinnovation,
      title={When AI Designs AI: Innovation or Imitation?}, 
      author={Yikang Yang and Zhengxin Yang and Luzhou Peng and Minghao Luo and Yanqi Kan and Wanling Gao and Jianfeng Zhan},
      year={2026},
      eprint={2608.17471},
      archivePrefix={arXiv},
      primaryClass={cs.AI},
      url={https://arxiv.org/abs/2608.17471}, 
}

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures

Paper

Preprint | Feb 03, 2026

Yikang Yang First Me Zhengxin Yang Corr. Minghao Luo Luzhou Peng Hongxiao Li Wanling Gao Lei Wang Jianfeng Zhan

First:

Yikang Yang

Corresponding:

Zhengxin Yang

Preprint

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures

@misc{yang2026gradegraphdiffusionestimator,
      title={GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures}, 
      author={Yikang Yang and Zhengxin Yang and Minghao Luo and Luzhou Peng and Hongxiao Li and Wanling Gao and Lei Wang and Jianfeng Zhan},
      year={2026},
      eprint={2602.03257},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2602.03257}, 
}

Probing Memes in LLMs: A Paradigm for the Entangled Evaluation World

Paper

Preprint | Feb 03, 2026

Luzhou Peng First Zhengxin Yang Corr. Honglu Ji Yikang Yang Me Fanda Fan Wanling Gao Jiayuan Ge Yilin Han Jianfeng Zhan

First:

Luzhou Peng

Corresponding:

Zhengxin Yang

Preprint

Probing Memes in LLMs: A Paradigm for the Entangled Evaluation World

@misc{peng2026probingmemesllmsparadigm,
      title={Probing Memes in LLMs: A Paradigm for the Entangled Evaluation World}, 
      author={Luzhou Peng and Zhengxin Yang and Honglu Ji and Yikang Yang and Fanda Fan and Wanling Gao and Jiayuan Ge and Yilin Han and Jianfeng Zhan},
      year={2026},
      eprint={2603.04408},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2603.04408}, 
}

2024

Paper

A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads

Paper

BenchCouncil International Symposium On Evaluatology: Evaluation Science and Engineering (Bench) | Feb 14, 2024

Yikang Yang First Me Lei Wang Corr. Jianfeng Zhan

First:

Yikang Yang

Corresponding:

Lei Wang

Paper

A Linear Combination-Based Method to Construct Proxy Benchmarks for Big Data Workloads

@inproceedings{10.1007/978-981-97-0316-6_8,
author = {Yang, Yikang and Wang, Lei and Zhan, Jianfeng},
title = {A Linear Combination-Based Method to&nbsp;Construct Proxy Benchmarks for&nbsp;Big Data Workloads},
year = {2023},
isbn = {978-981-97-0315-9},
publisher = {Springer-Verlag},
address = {Berlin, Heidelberg},
url = {https://doi.org/10.1007/978-981-97-0316-6_8},
doi = {10.1007/978-981-97-0316-6_8},
booktitle = {Benchmarking, Measuring, and Optimizing: 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers},
pages = {120–136},
numpages = {17},
keywords = {Micro-architectural metrics, Proxy benchmark, Linear combination},
location = {Sanya, China}
}