Zongyu Wu
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Ph.D. Student
Google Scholar |
About Me
I am actively seeking internship for 2025 Summer. Feel free to reach out if you're interested!
I am a second-year PhD student in the College of Information Sciences and Technology (IST) at The Penn State University (PSU). I am co-advised by Prof. Suhang Wang and Prof. Xiang Zhang. I obtained my Bachelor's degree in Computer Science and Technology at Chongqing University under the supervision of Prof. Lei Feng and Prof. Jiaxing Shang. My recent research interests lie in building effective and trustworthy AI foundation models (such as large language models and large vision-language models).
News
- [11/2024] Check out our latest survey about small language models in the era of large language models.
- [10/2024] One paper was accepted by WSDM 2025.
- [09/2024] One paper was accepted by NeurIPS 2024 (spotlight).
- [07/2024] Our survey about graph counterfactual learning is accepted by Machine Intelligence Research.
- [03/2024] One paper was accepted by NAACL 2024.
- [08/2023] Started my Ph.D. journey at Penn State University.
- [06/2023] Graduate from Chongqing University. Thank you all!
Selected Publications
(* indicates equal contribution)
Conference Papers
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Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs
Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
Accepted by 18th ACM International Conference on Web Search and Data Mining (WSDM 2025)
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Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning
Jiadong Pan*, Hongcheng Gao*, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li
In 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024, Spotlight)
[Paper] -
Universal Prompt Optimizer for Safe Text-to-Image Generation
Zongyu Wu*, Hongcheng Gao*, Yueze Wang, Xiang Zhang, Suhang Wang
In 2024 Annual Conference of the North American Chapter of the ACL (NAACL 2024)
[Paper] [Code]
Journal Papers
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Counterfactual Learning on Graphs: A Survey
Zhimeng Guo, Zongyu Wu, Teng Xiao, Charu Aggarwal, Hui Liu, Suhang Wang
Accepted by Machine Intelligence Research, 2024
[Paper] [Project Page]
Preprints
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A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang
Arxiv'2411.03350
[Paper] [Project Page]
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Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation
Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Cheng
Arxiv'2410.17462
[Paper]
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Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge
Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
Arxiv'2410.16454
[Paper] [Code]
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Trojan Prompt Attacks on Graph Neural Networks
Minhua Lin*, Zhiwei Zhang*, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
Arxiv'2410.13974
[Paper]
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Divide-Verify-Refine: Aligning LLM Responses with Complex Instructions
Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
Arxiv'2410.12207
[Paper] [Code]
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Robustness-Inspired Defense Against Backdoor Attacks on Graph Neural Networks
Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
Arxiv'2406.09836
[Paper]
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LLM and GNN are Complementary: Distilling LLM for Multimodal Graph Learning
Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang
Arxiv'2406.01032
[Paper] [Code]
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BDetCLIP: Multimodal Prompting Contrastive Test-Time Backdoor Detection
Yuwei Niu*, Shuo He*, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng
Arxiv'2405.15269
[Paper]
Education
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Ph.D. in Informatics (Aug. 2023 - Present) The Pennsylvania State University, Pennsylvania, US
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B.E. in Computer Science and Technology (Sep. 2019 - Jun. 2023) Chongqing University, Chongqing, China
Honors & Award
First-class scholarship in Chongqing University (top3%), 2023
Outstanding UG graduate in Chongqing University, 2023
Outstanding student in CQU, 2022
Academic Service
Conference Program Committee/Reviewer
CVPR 2025, AISTATS 2025, ICLR 2025, AAAI 2025, LoG 2024, NeurIPS 2024, CIKM 2024, IROS 2024, ECCV 2024, ACL 2024, EMNLP 2024, ARRConference External Reviewer
SIGIR 2024, RecSys 2024, ICDM 2024, BigData 2024Journal Reviewer
ACM TKDD, IEEE TKDE, IEEE TNNLS, ACM TIST, TMLRTeaching
Teaching Assistant, DS220: Data Management for Data Sciences, Fall 2024
Miscellaneous
Sports: I enjoy working out in my free time. I am obsessed with soccer.
Traval & Photography: I love traveling and enjoy capturing beautiful moments with my camera.
Games: I enjoy playing games such as CS2 (2000 hours+, plus CS GO) and Teamfight Tactics when time permits.