CV

Education

• M.S. in Civil and Environmental Engineering, Stanford University, 2023
• B.Eng. in Environmental Engineering, Sun Yat-sen University, 2020

Work experience

• Oct 2023 - Present: Senior Research Scientist, Meta, Menlo Park, CA
  • Design and develop core ranking algorithms for Facebook and Instagram Ads and News Feed recommendation systems.
  • Conduct large-scale machine learning experiments for ranking, retrieval, CTR/CVR prediction, user engagement, and recommendation quality.
  • Develop and deploy scalable model training, serving, and publishing pipelines with machine learning infrastructure teams.
  • Contribute to production-scale recommendation systems serving large user populations and high-throughput ranking and retrieval tasks.

Research areas

• Large-scale recommendation systems
• Ranking and retrieval models
• Sequence learning
• Graph neural networks
• Information retrieval
• LLM agents
• Trustworthy AI
• Misinformation detection
• Large-scale machine learning systems

Publications

RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation

Renzhi Wu, Zikun Cui, Junjie Yang, Tai Guo, Hong Li, Xian Chen, Li Yu, Ke Pan, Sri Reddy, Mahesh Srinivasan, Nipun Mathur, Haomin Yu, and Hong Yan. (2026). "RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation." ACM Conference on Recommender Systems (RecSys). Accepted / To appear.

Code as Agent Harness

Xuying Ning, Katherine Tieu, Dongqi Fu, Tianxin Wei, Zihao Li, Yuanchen Bei, Jiaru Zou, Mengting Ai, Zhining Liu, Ting-Wei Li, Lingjie Chen, Yanjun Zhao, Ke Yang, Bingxuan Li, Cheng Qian, Gaotang Li, Xiao Lin, Zhichen Zeng, Ruizhong Qiu, Sirui Chen, Yifan Sun, Xiyuan Yang, Ruida Wang, Rui Pan, Chenyuan Yang, Dylan Zhang, Liri Fang, Zikun Cui, Yang Cao, Pan Chen, Dorothy Sun, Ren Chen, Mahesh Srinivasan, Nipun Mathur, Yinglong Xia, Hong Li, Hong Yan, Pan Lu, Lingming Zhang, Tong Zhang, Hanghang Tong, and Jingrui He. (2026). "Code as Agent Harness." arXiv preprint arXiv:2605.18747.

CMSL: Constructive Multi-Sequence Learning for Recommendation Systems

Zikun Cui, Renzhi Wu, Junjie Yang, Li Sheng, Jijie Wei, Linfeng Liu, Tai Guo, Tao Jia, Xiaodong Wang, Hong Li, Li Yu, Sri Reddy, and Hong Yan. (2026). "CMSL: Constructive Multi-Sequence Learning for Recommendation Systems." Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval.

Adaptive Graph Convolution and Semantic-Guided Attention for Multimodal Risk Detection in Social Networks

Cuiqianhe Du, Chia-En Chiang, Tianyi Huang, and Zikun Cui. (2025). "Adaptive Graph Convolution and Semantic-Guided Attention for Multimodal Risk Detection in Social Networks." International Conference on Artificial Intelligence, Automation and High Performance Computing, IEEE.

CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media

Tianyi Huang, Zikun Cui, Cuiqianhe Du, and Chia-En Chiang. (2025). "CL-ISR: A Contrastive Learning and Implicit Stance Reasoning Framework for Misleading Text Detection on Social Media." International Conference on Electronic Communication and Artificial Intelligence, IEEE.

Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework

Zikun Cui, Tianyi Huang, Chia-En Chiang, and Cuiqianhe Du. (2025). "Toward Verifiable Misinformation Detection: A Multi-Tool LLM Agent Framework." International Conference on Generative Artificial Intelligence for Business.

Global Consistency in Response of Terrestrial Ecosystem Respiration to Temperature

Zhiyuan Zhang, Huanyuan Zhang, Zikun Cui, Feng Tao, Ziwei Chen, Yaxuan Chang, Vincenzo Magliulo, Georg Wohlfahrt, and Dongsheng Zhao. (2021). "Global Consistency in Response of Terrestrial Ecosystem Respiration to Temperature." Agricultural and Forest Meteorology, 308-309:108576.

Service and leadership

• Reviewed 11 manuscripts for journals and conferences in information systems, recommender systems, multimedia, artificial intelligence, machine learning, optimization, economics, consumer electronics, and applied computing.
• Selected venues include ACM Transactions on Information Systems, Multimedia Systems, Neural Processing Letters, Information Technology and Control, Economics, Internet Technology Letters, Transactions on Consumer Electronics, and ICAICT 2026.