Tian Qin @ LAMDA, NJU-AI
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秦 天
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Biography
Currently I am a fourth year Ph.D. candidate of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by Prof. Zhi-Hua Zhou. I received my B.Sc. degree in Computer Science and Technology in June 2020 from Nanjing University. In the same year, I was admitted to pursue Ph.D. degree without entrance examination.
Research Interests
My research interests include machine learning, causal inference, and data mining.
Publications
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Tian Qin, Long-Fei Li, Tian-Zuo Wang, and Zhi-Hua Zhou. Tracking Treatment Effect Heterogeneity in Evolving Environments. Machine Learning, 2024. [supp][code]
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Tian Qin, Tian-Zuo Wang, and Zhi-Hua Zhou. Rehearsal Learning for Avoiding Undesired Future. In: Advances in Neural Information Processing Systems 36 (NeurIPS'23), New Orleans, LA, 2023. [code]
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Tian-Zuo Wang, Tian Qin, and Zhi-Hua Zhou. Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge. Artificial Intelligence, 2023.
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Tian-Zuo Wang, Tian Qin, and Zhi-Hua Zhou. Estimating Possible Causal Effects with Latent Variables via Adjustment. In: Proceedings of the 40th International Conference on Machine Learning (ICML'23), Honolulu, HI, 2023.
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Tian Qin, Tian-Zuo Wang, and Zhi-Hua Zhou. Learning Causal Structure on Mixed Data with Tree-Structured Functional Models. In: Proceedings of the 23rd SIAM International Conference on Data Mining (SDM'23), Minneapolis, MN, 2023. [supp][code]
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Tian-Zuo Wang, Tian Qin, and Zhi-Hua Zhou. Sound and Complete Causal Identification with Latent Variables Given Local Background Knowledge. In: Advances in Neural Information Processing Systems 35 (NeurIPS'22), New Orleans, LA, 2022.
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Tian Qin, Tian-Zuo Wang, and Zhi-Hua Zhou. Budgeted Heterogeneous Treatment Effect Estimation. In: Proceedings of the 38th International Conference on Machine Learning (ICML'21), Online, 2021. [supp][code]
Awards & Honors
- 南京大学优秀研究生标兵, 2023.
- 华为奖学金, 2023.
- 冠军, 广州·琶洲算法大赛算法优选赛, 中国人工智能学会 & 广州市人民政府, 2023.
- 亚军, 百度商业AI技术创新大赛-商业转化行为预测赛道, 中国人工智能学会 & 百度 & 英伟达, 2023.
- Gold Prize, PCIC Causal Inference and Recommendation Track, Pacific Causal Inference Conference & Huawei, 2022.
- 学业奖学金, 2021, 2022.
- 南京大学优秀研究生, 2021.
- 研究生国家奖学金, 2021.
- 季军&创新奖, DIGIX全球校园AI算法精英大赛-视频推荐赛道, 华为, 2021.
- Xu Xin International Student Exchange Scholarship, 2020.
- 博士生校长特别奖学金, 2020.
- Before 2020
Teaching Assistant
- LAMDA Summer Seminar on Derivative-Free Optimization, Summer, 2023.
- Light of Science: Exploring CSAI, with Prof. Zhi-Hua Zhou et al., Spring, 2023.
- LAMDA Summer Seminar on Algorithmic Complexity, Summer, 2022.
- LAMDA Machine Learning Summer Seminar, Summer, 2021.
- Game Theory and Its Applications, with Assoc. Prof. Wei Gao, Spring, 2021.
- Introduction to Machine Learning, with Prof. Zhi-Hua Zhou and Dr. Han-Jia Ye, Spring, 2021.
Academic Service
- Reviewer for UAI'22, AAAI'23, UAI'23, NeurIPS'23, ACML'23, AAAI'24, ICLR'24.
- Reviewer for Machine Learning.
Correspondence
- Email: qint@lamda.nju.edu.cn
- Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University