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ORCIDQi Wu 0009
Person information
- affiliation: City University of Hong Kong, School of Data Science, Hong Kong
- affiliation (2013 - 2018): Chinese University of Hong Kong, Department of Systems Engineering and Management, Hong Kong
- affiliation (PhD 2011): Columbia University, New York, NY, USA
Other persons with the same name
- Qi Wu — disambiguation page
- Qi Wu 0001
![[0000-0003-3631-256X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3631-256X")
— University of Adelaide, School of Computer Science, Australian Centre for Robotic Vision, Adelaide, Australia (and 1 more) - Qi Wu 0002 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Qi Wu 0003 (aka: Edmond Qi Wu) — Shanghai Jiao Tong University, School of Electronic, Information and Electrical Engineering, China (and 2 more)
- Qi Wu 0004 — Technical University of Hamburg-Harburg, Germany (and 2 more)
- Qi Wu 0005 — Beihang University, School of Instrumentation and Optoelectronic Engineering, Beijing, China
- Qi Wu 0006 — ScaleFlux Inc., San Jose, CA, USA (and 2 more)
- Qi Wu 0007 — Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai Key Laboratory of Navigation and Location-based Services, Shanghai, China
- Qi Wu 0008 — Jiangxi University of Finance and Economics, School of Information Technology, Nanchang, China
- Qi Wu 0010 — Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, China
- Qi Wu 0011 — Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Qi Wu 0012 — Huazhong University of Science and Technology, School of Mechanical Science and Engineering, National NC System Engineering Research Center, Wuhan, China
- Qi Wu 0013 — Guangdong Police College, Department of Computer Science, Guangzhou, China
- Qi Wu 0014 (aka: Tony Qi Wu) — Carnegie Mellon University, Electrical and Computer Engineering Department, Pittsburgh, PA, USA (and 1 more)
- Qi Wu 0015 — University of California, Davis, CA, USA (and 1 more)
- Qi Wu 0016 — Xiangtan University, School of Mathematics and Computational Science, Xiangtan, China (and 1 more)
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2020 – today
- 2024
[c11]Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang, Xing Yan, Qi Wu, Dongdong Wang, Zhixiang Huang:
The Causal Impact of Credit Lines on Spending Distributions. AAAI 2024: 180-187- 2023
- [c10]Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Zhiri Yuan, Qi Wu, Siyi Wang, Dongdong Wang, Zhixiang Huang:
Towards Balanced Representation Learning for Credit Policy Evaluation. AISTATS 2023: 3677-3692 - [c9]Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang:
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series. IJCAI 2023: 4299-4307 - [i10]Shumin Ma, Zhiri Yuan, Qi Wu, Yiyan Huang, Xixu Hu, Cheuk Hang Leung, Dongdong Wang, Zhixiang Huang:
Deep into The Domain Shift: Transfer Learning through Dependence Regularization. CoRR abs/2305.19499 (2023) - [i9]Chaoqun Wang, Yijun Li, Xiangqian Sun, Qi Wu, Dongdong Wang, Zhixiang Huang:
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series. CoRR abs/2308.13797 (2023) - [i8]Yufan Liao, Qi Wu, Xing Yan:
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization. CoRR abs/2312.04273 (2023) - 2022
- [j2]Zhiri Yuan, Xixu Hu, Qi Wu, Shumin Ma, Cheuk Hang Leung, Xin Shen, Yiyan Huang:
A Unified Domain Adaptation Framework with Distinctive Divergence Analysis. Trans. Mach. Learn. Res. 2022 (2022) - [c8]Yiyan Huang, Cheuk Hang Leung, Qi Wu, Xing Yan, Shumin Ma, Zhiri Yuan, Dongdong Wang, Zhixiang Huang:
Robust Causal Learning for the Estimation of Average Treatment Effects. IJCNN 2022: 1-9 - [c7]Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang:
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information. PRICAI (2) 2022: 3-16 - [i7]Yiyan Huang, Cheuk Hang Leung, Shumin Ma, Qi Wu, Dongdong Wang, Zhixiang Huang:
Moderately-Balanced Representation Learning for Treatment Effects with Orthogonality Information. CoRR abs/2209.01956 (2022) - [i6]Yufan Liao, Qi Wu, Xing Yan:
Decorr: Environment Partitioning for Invariant Learning and OOD Generalization. CoRR abs/2211.10054 (2022) - 2021
- [c6]Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu, Nanbo Peng, Dongdong Wang, Zhixiang Huang:
The Causal Learning of Retail Delinquency. AAAI 2021: 204-212 - [c5]Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang:
Memory-Gated Recurrent Networks. AAAI 2021: 10956-10963 - [c4]Siyi Wang, Xing Yan, Bangqi Zheng, Hu Wang, Wangli Xu, Nanbo Peng, Qi Wu:
Risk and return prediction for pricing portfolios of non-performing consumer credit. ICAIF 2021: 10:1-10:9 - [i5]Yiyan Huang, Cheuk Hang Leung, Xing Yan, Qi Wu:
Higher-Order Orthogonal Causal Learning for Treatment Effect. CoRR abs/2103.11869 (2021) - 2020
- [c3]Shumin Ma, Cheuk Hang Leung, Qi Wu, Wei Liu, Nanbo Peng:
Understanding distributional ambiguity via non-robust chance constraint. ICAIF 2020: 42:1-42:8 - [i4]Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu:
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning. CoRR abs/2010.08263 (2020) - [i3]Yaquan Zhang, Qi Wu, Nanbo Peng, Min Dai, Jing Zhang, Hu Wang:
Memory-Gated Recurrent Networks. CoRR abs/2012.13121 (2020)
2010 – 2019
- 2019
- [c2]Xing Yan, Qi Wu, Wen Zhang:
Cross-sectional Learning of Extremal Dependence among Financial Assets. NeurIPS 2019: 3852-3862 - [i2]Di Wang, Qi Wu, Wen Zhang:
Neural Learning of Online Consumer Credit Risk. CoRR abs/1906.01923 (2019) - [i1]Qi Wu, Shumin Ma, Cheuk Hang Leung, Wei Liu:
Understanding Distributional Ambiguity via Non-robust Chance Constraint. CoRR abs/1906.01981 (2019) - 2018
- [j1]Paul Glasserman, Qi Wu:
Persistence and Procyclicality in Margin Requirements. Manag. Sci. 64(12): 5705-5724 (2018) - [c1]Xing Yan, Weizhong Zhang, Lin Ma, Wei Liu, Qi Wu:
Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning. NeurIPS 2018: 1582-1592
Coauthor Index
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last updated on 2024-04-20 23:41 CEST by the dblp team
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