About Me
Welcome! I’m Yifei Zhang, a secondthird-year Ph.D. student in Computer Science at Emory University, where I have the fortune of working with Dr. Liang Zhao. Before this, I obtained my M.S. degree in Data Science from Columbia University and my B.E. degree in Engineering Mechanics from Dalian University of Technology. Additionally, I earned a Master of Engineering Management degree from Duke University.
My research encompasses Explainable AI, Natural Language Processing, and Applied Machine Learning. I hold a strong academic background and have contributed to multiple research projects, constantly pushing the boundaries of what’s possible in the data science field.
I have been actively looking for research scientist or applied scientist internship positions in Summer 2025. Feel free to reach out if there are any opportunities!
Research Interests
- Explainable AI: Visual Explanation-guided Learning (Evaluating and Correcting the Reasoning of AI models)
- Machine Learning: Weakly-Supervised Learning, Multi-modal Learning, Medical AI
- Natural Language Processing: Multimodal Large Language Model, Explanation-guided Learning with Language Model
News
- [Jul. 2024] One co-authored paper is accepted by CIKM 2024!
- [May. 2024] One first-author paper is accepted by Findings of ACL 2024, and one co-authored paper is accepted by KDD 2024!
- [May. 2024] I will join Amazon AGI team as a Research Scientist Intern at Boston in summer 2024!
- [Apr. 2024] One first-author paper Visual Attention Prompted Prediction and Learning is accepted by IJCAI 2024!
- [Apr. 2024] Taken on the role of Publicity Chair for the ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial’24)
- [Jan. 2024] Our survey paper Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models is available on Arxiv!
- [Dec. 2023] One co-author paper is accepted by SDM 2024!
- [Nov. 2023] Our work about Datasets and Benchmarks for Visual Explanation is available online!
- [Aug. 2023] Taken Reviewer Invitations for IEEE Transactions on Neural Networks and Learning Systems.
- [Jul. 2023] One first-author paper is accepted by ICCV 2023!
- [May. 2023] One co-first-author paper is accepted by KDD 2023!
Selected publications and preprints
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Arxiv
Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
Arxiv
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Arxiv
Yifei Zhang, Siyi Gu, James Song, Bo Pan, Guangji Bai, Liang Zhao
Arxiv
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KDD'24
Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024.
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CIKM' 24
Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
The 33rd ACM International Conference on Information and Knowledge Management (CIKM), 2024.
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ACL' 24
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2024.
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IJCAI' 24
Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao
International Joint Conference on Artificial Intelligence (IJCAI), 2024.
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SDM' 24
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhaka, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
SIAM International Conference on Data Mining (SDM), 2024.
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ICCV'23
Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
The IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
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KDD'23
Siyi Gu*, Yifei Zhang*, Yuyang Gao, Xiaofeng Yang, Liang Zhao (* denotes equal contribution)
The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Education Experience
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Emory University, 2022.08-
Ph.D. in Computer Science
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Columbia University, 2020.09-2021.12
M.S. in Data Science
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Duke University, 2019.08-2020.05
Master of Engineering Management
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Dalian University of Technology, 2015.09-2019.06
B.E. in Engineering Mechanics (Excellence Program)
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Internship Experience
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Amazon AGI, 2024.06-2024.09
Research Scientist Intern
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Guotai Junan Securities, 2018.12-2019.03
Equity Research Intern
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China Development Bank, 2018.01-2018.03
Risk Management Intern
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Services
Journal Reviewers
Conference Reviewers/Program Committee
Workshop Organizers
- Publicity Chair for 4th ACM SIGKDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial’24)
- Student Co-organizer for the Foundation Models for Biological Discoveries (FM4sBio) workshop at AAAI 2025.
Awards
- KDD 2023 Student Travel Award
- DUTOAA Seagle Scholarship Award, DUTOAA Foundation
- Academic Excellence Scholarship Award, Dalian University of Technology
- Technological Innovation Scholarship Award, Dalian University of Technology
Softwares
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XAI Benchmark for Visual Explanation: A benchmark for visual explanation that comprising eight diverse datasets with human annotations and offering a comprehensive evaluation pipeline with alignment-based and faithfulness-based metrics. More information is available on the project website.
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Group-Specific Recommendation System (GSRS): A group-specific recommendation system to use dependency information from users and items which share similar characteristics under the singular value decomposition framework. This project was a collaboration with Dr. Xuan Bi at the University of Minnesota (UMN). For more details, visit the GSRS package on CRAN.
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