个人简介 Resume

邹旭,

工学学士,清华大学新雅书院/航天航空学院,钱学森力学班,2014.8-2018.7

工学博士,清华大学计算机系,软件所KEG实验室 2018.8-2024.6 导师:唐杰

北京智谱华章有限公司,2024.7-

Xu Zou,

Bachelor Degree, Tsien Class, Xinya College/Dept. of Aerospace, Tsinghua University 2014.8-2018.7

Ph. d, KEG Group, Dept. of Computer Science, Tsinghua University 2018.8-2024.6 Advisor: Jie Tang

Works for Zhipu.AI, 2024.7-

研究领域:

大模型生成,可控生成,图对抗攻击等,清华大学研究生精品课程《高级机器学习》课程助教

Research Field:

Large Model Generation, Controllable Generation, Adversarial Graph Generation, SARS-2 mutation Tracking & Prediction

TA for Advanced Machine Learning Course in Tsinghua University

I’m open for discussions, if you have interest in cooperation, pls contact

ataritigertom@gmail.com

I’m also a volunteer variant spotter for Pango since 2023.

Designated Pango Lineages Proposed By me

爱好:

围棋,业余5段,曾在清华大学马约翰杯获得2次个人第二名,代表计算机系获得3次第1,1次第2。

Hobbies:

Go,7.44d(AGA),Rank 1 in San Fransisco Seasonal Go Competition 2017.7

论文列表/Publication List

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, Yuxiao Dong, Shan Wang, Yufei Xue, Zihan Wang, Lei Shen, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang, 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

Cen, Yukuo, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, and Jie Tang. “Controllable multi-interest framework for recommendation” KDD 2020 Application Track

Cen, Yukuo, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou, and 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

Wang, Yan, Lequn Wang, Yurong You, Xu Zou, Vincent Chen, Serena Li, Gao Huang, Bharath Hariharan, and Kilian Q. Weinberger. “Resource aware person re-identification across multiple resolutions” CVPR 2018

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang, M6: A chinese multimodal pretrainer

Xu Zou, Qiuye Jia, Jianwei Zhang, Chang Zhou, Hongxia Yang, Jie Tang, Dimensional reweighting graph convolutional networks

专利/Patents:

 唐杰, 邹旭. 《自然合理的多语言预训练模型生成语言约束方法》2024.

  唐杰, 邹旭. 《基于非顺序反向提示的自动作诗方法》 2024.


《预训练服务系统及基于预训练服务系统的服务提供方法》, 门睿; 周畅; 王鹏; 张一昌; 林俊旸; 杨安; 李永; 林伟; 丁铭; 邹旭; 杜政晓; 唐杰; 杨红霞; 周靖人, 2022.9

“Method and apparatus for graph-based recommendation”, Evgeny Kharlamov; Jie Tang; Zhen Yang; Ming Ding; Xu Zou. 2023.

“Method and apparatus for effective injection attacks on graph neural network”, Evgeny Kharlamov; Jie Tang; Xu Zou. 2023.