Yancheng Wang

School of Computing and Augmented Intelligence (SCAI)

Arizona State University

Email         Google Scholar         Linkedin         Resume

profile photo
Biography

I am currently a 5-th year Ph.D. student at School of Computing and Augmented Intelligence, Arizona State University, supervised by Prof. Yingzhen Yang. Before that, I obtained my B.S. in Mathematics and Applied Mathematics (Honors Science Program) from Qian Xuesen Honors College of Xi’an Jiaotong University.

Research Interests

  • LLM-powered Agents
  • Large Language Models (LLMs)
  • Efficient and Robust Deep Learning
  • Model Compression and Acceleration
  • Deep Generative Models
  • Graph Learning
Industrail Experience

  • Amazon AWS AI, Applied Scientist Intern, 2024
    Worked on automatic evaluation of LLM-powered agents in conventional scenarios.

  • Amazon Alexa AI, Applied Scientist Intern, 2023
    Worked on LLM-powered autonomous agents for general-purpose recommendation.

  • KuaiShou U.S. R&D Center, Research Intern, 2021
    Worked on neural architecture search for image reconstruction.
Publications

2025

UAI 2025
Informative Data Selection for Thorax Disease Classification
Yancheng Wang, Rajeev Goel, Marko Jojic, Alvin C Silva, Teresa Wu, Yingzhen Yang
Conference on Uncertainty in Artificial Intelligence (UAI), 2025

TMLR
Diffusion on Graph: Augmentation of Graph Structure for Node Classification
Yancheng Wang, Changyu Liu, Yingzhen Yang
Transactions on Machine Learning Research (TMLR), 2025

Preprint
Efficient Visual Transformer by Information Bottleneck Inspired Token Merging
Yancheng Wang, Yingzhen Yang
Under Minor Revision for Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

Preprint

DASFAA Demo
Declarative Privacy-Preserving Inference Queries
Hong Guan, Ansh Tiwari, Summer Gautier, Rajan Hari Ambrish, Lixi Zhou, Deepti Gupta, Yancheng Wang,
Yingzhen Yang, Chaowei Xiao, Kanchan Chowdhury, Jia Zou
International Conference on Database Systems for Advanced Applications (DASFAA) Demo, 2025

2024

NeurIPS 2024
Learning Low-Rank Feature for Thorax Disease Classification
Yancheng Wang, Rajeev Goel, Utkarsh Nath, Silva Alvin, Teresa Wu, Yingzhen Yang
Neural Information Processing Systems (NeurIPS), 2024

ICML 2024
Visual Transformer with Differentiable Channel Selection: An Information Bottleneck Inspired Approach
Yancheng Wang, Ping Li, Yingzhen Yang
International Conference on Machine Learning (ICML), 2024

NAACL 2024
RecMind: Large Language Model Powered Agent for Recommendation
Yancheng Wang, Ziyan Jiang, Zheng Chen, Fan Yang, Yingxue Zhou, Eunah Cho, Xing Fan, Xiaojiang Huang,
Yanbin Lu, Yingzhen Yang
Findings of the Association for Computational Linguistics: NAACL, 2024

BigData 2024
IDNet: A Novel Identity Document Dataset via Few-Shot and Quality-Driven Synthetic Data Generation
Lulu Xie*, Yancheng Wang*, Hong Guan*, Soham Nag, Rajeev Goel, Niranjan Erappa Narayana Swamy, Yingzhen Yang,
Chaowei Xiao, Jonathan Prisby, Ross Maciejewski, Jia Zou
* Co-First Authors with Equal Contribution
IEEE International Conference on Big Data (IEEE BigData), 2024

UAI 2024
Neural Architecture Search Finds Robust Models by Knowledge Distillation
Utkarsh Nath, Yancheng Wang, Yingzhen Yang
Conference on Uncertainty in Artificial Intelligence (UAI), 2024

IJCV
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
Utkarsh Nath, Yancheng Wang, Yingzhen Yang
International Journal of Computer Vision (IJCV), 2024

NIPS Workshop
Differentiable Attention
Yancheng Wang, Dongfang Sun, Yingzhen Yang
NeurIPS Workshop on Machine Learning and Compression, 2024

ICLR Workshop
Low-Rank Graph Contrastive Learning for Node Classification
Yancheng Wang, Yingzhen Yang
ICLR Workshop on Bridging the Gap Between Practice and Theory in Deep Learning, 2024

2023

AAAI 2023
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
Kaize Ding*, Yancheng Wang*, Yingzhen Yang, Huan Liu
* Co-First Authors with Equal Contribution
Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2023

Preprint
Adaptive Cross-Layer Attention for Image Restoration
Yancheng Wang, Ning Xu, Yingzhen Yang
Under Major Revision for Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023

ICML Workshop
Decoupled Graph Label Denoising for Robust Semi-Supervised Node Classification
Kaize Ding*, Yancheng Wang*, Huan Liu
* Co-First Authors with Equal Contribution
Data-centric Machine Learning Research Workshop in ICML, 2023
Services

Conference Reviewer

  • NeurIPS 2024, ICLR 2025
  • NeurIPS 2023, CIKM 2023, CIKM 2023
  • NeurIPS 2022, SIGKDD 2022, AAAI 2022, ICML 2022, IJCAI 2022

Journal Reviewer

  • IJCV


Last update: September 2024      Template