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ORCIDQi Qi 0006
Person information
- unicode name: 齐琪
- affiliation: University of Iowa, Department of Computer Science, Iowa City, IA, USA
- affiliation: University of Science and Technology of China, Hefei, China
Other persons with the same name
- Qi Qi — disambiguation page
- Qi Qi 0001
![[0000-0003-0829-4624]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0829-4624")
— Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China - Qi Qi 0002 — LSI corporation, Milpitas, CA, USA (and 1 more)
- Qi Qi 0003 — Hong Kong University of Science and Technology, Department of Industrial Engineering and Logistics Management, Hong Kong (and 1 more)
- Qi Qi 0004 — Hainan University, Haikou, China (and 1 more)
- Qi Qi 0005 — Xiamen University, School of Information Science and Engineering / Fujian Key Laboratory of Sensing and Computing for Smart City, China
- Qi Qi 0007 — Southeast University, School of Electrical Engineering, Nanjing, China
- Qi Qi 0008 — Ocean University of China, College of Engineering, Qingdao, China (and 1 more)
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Journal Articles
- 2023
[j5]Qi Qi, Jiameng Lyu, Kung-Sik Chan, Er-Wei Bai, Tianbao Yang:
Stochastic Constrained DRO with a Complexity Independent of Sample Size. Trans. Mach. Learn. Res. 2023 (2023)- [j4]Qi Qi, Yi Xu, Wotao Yin, Rong Jin, Tianbao Yang:
Attentional-Biased Stochastic Gradient Descent. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j3]Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Qi Qi, Zhuoning Yuan, Tianbao Yang, Shuiwang Ji:
Advanced graph and sequence neural networks for molecular property prediction and drug discovery. Bioinform. 38(9): 2579-2586 (2022) - 2019
- [j2]Thomas Weise, Yan Jiang, Qi Qi, Weichen Liu:
A Branch-and-Bound-Based Crossover Operator for the Traveling Salesman Problem. Int. J. Cogn. Informatics Nat. Intell. 13(3): 1-18 (2019) - 2018
- [j1]Thomas Weise, Xiaofeng Wang, Qi Qi, Bin Li, Ke Tang:
Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features. Appl. Soft Comput. 73: 366-382 (2018)
Conference and Workshop Papers
- 2024
- [c8]Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang:
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. NeurIPS 2024 - 2021
- [c7]Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang:
Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence. NeurIPS 2021: 1752-1765 - [c6]Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang:
An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives. NeurIPS 2021: 10067-10080 - 2020
- [c5]Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang:
A Simple and Effective Framework for Pairwise Deep Metric Learning. ECCV (27) 2020: 375-391 - 2019
- [c4]Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang:
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence. ICML 2019: 6942-6951 - 2018
- [c3]Qi Qi, Thomas Weise, Bin Li:
Optimization algorithm behavior modeling: A study on the traveling salesman problem. ICACI 2018: 861-866 - 2017
- [c2]Qi Qi, Thomas Weise, Bin Li:
Modeling optimization algorithm runtime behavior and its applications. GECCO (Companion) 2017: 115-116 - [c1]Weichen Liu, Thomas Weise, Yuezhong Wu, Qi Qi:
Combining two local searches with crossover: an efficient hybrid algorithm for the traveling salesman problem. GECCO 2017: 298-305
Informal and Other Publications
- 2024
- [i10]Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang:
Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions. CoRR abs/2405.18577 (2024) - [i9]Qi Qi, Quanqi Hu, Qihang Lin, Tianbao Yang:
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning. CoRR abs/2406.05686 (2024) - 2023
- [i8]Qi Qi, Shervin Ardeshir:
Improving Identity-Robustness for Face Models. CoRR abs/2304.03838 (2023) - 2022
- [i7]Qi Qi, Jiameng Lyu, Kung-Sik Chan, Er-Wei Bai, Tianbao Yang:
Stochastic Constrained DRO with a Complexity Independent of Sample Size. CoRR abs/2210.05740 (2022) - [i6]Qi Qi, Shervin Ardeshir, Yi Xu, Tianbao Yang:
Fairness via Adversarial Attribute Neighbourhood Robust Learning. CoRR abs/2210.06630 (2022) - 2021
- [i5]Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang:
Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence. CoRR abs/2104.08736 (2021) - 2020
- [i4]Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang:
A Practical Online Method for Distributionally Deep Robust Optimization. CoRR abs/2006.10138 (2020) - [i3]Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu:
Variance-Reduced Off-Policy Memory-Efficient Policy Search. CoRR abs/2009.06548 (2020) - [i2]Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang:
Attentional Biased Stochastic Gradient for Imbalanced Classification. CoRR abs/2012.06951 (2020) - 2019
- [i1]Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang:
a simple and effective framework for pairwise deep metric learning. CoRR abs/1912.11194 (2019)
Coauthor Index
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