Xu Zou
Biography
- B.Eng., Tsien Class (Chien-Shiung Wu Mechanics Honors Program), Xinya College / Dept. of Aerospace, Tsinghua University, 2014.8 – 2018.7
- Ph.D., KEG Lab, Dept. of Computer Science, Tsinghua University, 2018.8 – 2024.6. Advisor: Jie Tang
- Algorithm Expert, Zhipu.AI, 2024.7 – ;
Research Fields
Large Model Generation, Controllable Generation, Adversarial Graph Generation, SARS-CoV-2 Mutation Tracking & Prediction. TA for the graduate course Advanced Machine Learning, Tsinghua University.
Academic Service
- Volunteer variant spotter for Pango (since 2023) — Designated Pango lineages proposed by me
- Contributor of SGLang
- Reviewer for multiple academic conferences/journals such as KDD/ICLR
Hobbies
Go (weiqi), 7.44d (AGA), Rank 1 in San Francisco Seasonal Go Competition, 2017.7. Amateur 5-dan; two individual runner-up finishes at the Tsinghua Ma Yuehan Cup; three team first places and one runner-up representing the CS Department.
Contact
- Email: xz_mailbox@xuzou.cn
- Google Scholar: View Profile
- GitHub: @xz-keg
I am open to discussions — if you are interested in cooperation, please contact me.
Publications
- Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, Jie Tang. "TDGIA: Effective Injection Attacks on Graph Neural Networks", KDD 2021 Research Track
- Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, Jie Tang. "Controllable Generation from Pre-trained Language Models via Inverse Prompting", KDD 2021 Research Track
- Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, Jie Tang. "Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning", NeurIPS 2021 Dataset & Benchmark Track
- Qinkai Zheng, Xiao Xia, Xu Zou, et al. "CodeGeeX: A Pre-trained Model for Code Generation with Multilingual Evaluations on HumanEval-X", KDD 2023 Application Track
- Sha Yuan, Hanyu Zhao, Zhengxiao Du, Ming Ding, Xiao Liu, Yukuo Cen, Xu Zou, Zhilin Yang, Jie Tang. "WuDaoCorpora: A Super Large-scale Chinese Corpora for Pre-training Language Models", AI Open 2021
- Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, Jie Tang. "Controllable Multi-Interest Framework for Recommendation", KDD 2020 Application Track
- Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, Jie Tang. "Representation Learning for Attributed Multiplex Heterogeneous Network", KDD 2019 Research Track
- Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang. "Region or Global? A Principle for Negative Sampling in Graph-based Recommendation", TKDE 2022
- Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, Jie Tang. "CogView: Mastering Text-to-Image Generation via Transformers", NeurIPS 2021
- Yan Wang, Lequn Wang, Yurong You, Xu Zou, et al. "Resource Aware Person Re-identification across Multiple Resolutions", CVPR 2018
- Junyang Lin, Rui Men, An Yang, et al. "M6: A Chinese Multimodal Pretrainer"
- Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang. "Dimensional Reweighting Graph Convolutional Networks"
- Xu Zou. "Lineage Detector: Efficient Tool for Detecting New SARS-CoV-2 Lineages"
- Xu Zou. "BIPro: Zero-shot Chinese Poem Generation via Block Inverse Prompting Constrained Generation Framework", ACL 2025