I am a Ph.D. candidate in the College of Information Sciences and Technology at The Pennsylvania State University, where I am co-advised by Prof. Suhang Wang and Prof. Xiang Zhang. I was an Applied Scientist Intern at Amazon Web Services (AWS) in Santa Clara, California. I received my Bachelor’s degree in Computer Science and Technology from Chongqing University.

I'm actively seeking internship opportunities for Spring and Summer 2027. I'd love to connect if you think there might be a fit with your team!

🔥 Top News

• 2026.08: One paper was accepted by EMNLP 2026.
• 2026.05: My internship work at AWS was accepted by TMLR.
• 2026.01: One paper was accepted by ICLR 2026.
• 2026.01: One paper was accepted by WWW 2026.
• 2026.01: Two paper were accepted by EACL 2026 (1 Findings).

📝 Research

My recent research interests lie in (multimodal) language models, reasoning, and graph learning. Selected works are listed below. * indicates equal contribution. Please visit my Google Scholar profile for a more complete list.

Selected Preprints

• Multi-Granularity Context-Enhanced RAG over Multimodal Knowledge Graphs [Preprint]
  Zongyu Wu*, Yilong Wang*, Xiaochen Wang, Minhua Lin, Zhichao Xu, Fenglong Ma, Xiang Zhang, Suhang Wang
  arXiv

• A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications [Preprint, Project Page]
  Minhua Lin, Zongyu Wu, Zhichao Xu, Hui Liu, Xianfeng Tang, Qi He, Charu Aggarwal, Hui Liu, Xiang Zhang, Suhang Wang
  arXiv

Selected Publications

• Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation [Paper]
  Zhichao Xu*, Zongyu Wu*, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding
  TMLR, 2026. Also at KnowFM @ ACL 2026

• Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models [Paper]
  Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
  In EACL 2026 (Oral)

• Universal Prompt Optimizer for Safe Text-to-Image Generation [Paper]
  Zongyu Wu*, Hongcheng Gao*, Yueze Wang, Xiang Zhang, Suhang Wang
  In NAACL 2024

• Harness Updating Is Not Harness Benefit: Disentangling Evolution Capabilities in Self-Evolving LLM Agents [Preprint, Code]
  Minhua Lin*, Juncheng Wu*, Zijun Wang, Zhan Shi, Yisi Sang, Bing He, Zewen Liu, Tianxin Wei, Zongyu Wu, Zhiwei Zhang, Dakuo Wang, Xiang Zhang, Benoit Dumoulin, Cihang Xie, Yuyin Zhou, Suhang Wang, Hanqing Lu
  Accepted by EMNLP 2026

• GPR: Empowering Generation with Graph-Pretrained Retriever [Paper]
  Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
  In WWW 2026

• AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks [Paper]
  Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zhen Li, Xianfeng Tang, Qi He, Suhang Wang
  In NeurIPS 2025

• Divide-Verify-Refine: Can LLMs Self-align with Complex Instructions? [Paper, Code]
  Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
  In Findings of ACL 2025

• Are You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks [Paper, Code]
  Minhua Lin*, Zhiwei Zhang*, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
  In KDD 2025

• Test-Time Multimodal Backdoor Detection by Contrastive Prompting [Paper, Code]
  Yuwei Niu*, Shuo He*, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng
  In ICML 2025

• Robustness Inspired Graph Backdoor Defense [Paper, Code]
  Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
  In ICLR 2025 (Oral)

• Catastrophic Failure of LLM Unlearning via Quantization [Paper, Code]
  Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
  In ICLR 2025

• Bridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs [Paper]
  Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
  In WSDM 2025 (Oral)

📖 Selected Academic Services

• Conference Program Committee / Reviewer: ICML (2025, 2026), NeurIPS (2024, 2025, 2026), ICLR (2025, 2026), CVPR (2025, 2026), AAAI (2025, 2026, 2027), KDD (2025, 2026, 2027), WWW (2026), CIKM (2024, 2025, 2026)
• Journal Reviewer: ACM TKDD, IEEE TKDE, IEEE TNNLS, ACM TIST, Neurocomputing, Neural Networks