Qi Qi

According to our database, Qi Qi authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Improving Identity-Robustness for Face Models.

Qi Qi, Shervin Ardeshir

CoRR, 2023

2022

Fairness via Adversarial Attribute Neighbourhood Robust Learning.

Qi Qi, Shervin Ardeshir, Yi Xu, Tianbao Yang

CoRR, 2022

2021

Stochastic Optimization of Area Under Precision-Recall Curve for Deep Learning with Provable Convergence.

Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

CoRR, 2021

Stochastic Optimization of Areas Under Precision-Recall Curves with Provable Convergence.

Qi Qi, Youzhi Luo, Zhao Xu, Shuiwang Ji, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives.

Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Attentional Biased Stochastic Gradient for Imbalanced Classification.

Qi Qi, Yi Xu, Rong Jin, Wotao Yin, Tianbao Yang

CoRR, 2020

Variance-Reduced Off-Policy Memory-Efficient Policy Search.

Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu

CoRR, 2020

A Practical Online Method for Distributionally Deep Robust Optimization.

Qi Qi, Zhishuai Guo, Yi Xu, Rong Jin, Tianbao Yang

CoRR, 2020

A Simple and Effective Framework for Pairwise Deep Metric Learning.

Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, Tianbao Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

A Branch-and-Bound-Based Crossover Operator for the Traveling Salesman Problem.

Thomas Weise, Yan Jiang, Qi Qi, Weichen Liu

Int. J. Cogn. Informatics Nat. Intell., 2019

Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence.

Yi Xu, Qi Qi, Qihang Lin, Rong Jin, Tianbao Yang

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features.

Thomas Weise, Xiaofeng Wang, Qi Qi, Bin Li, Ke Tang

Appl. Soft Comput., 2018

Optimization algorithm behavior modeling: A study on the traveling salesman problem.

Qi Qi, Thomas Weise, Bin Li

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017

Modeling optimization algorithm runtime behavior and its applications.

Qi Qi, Thomas Weise, Bin Li

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Combining two local searches with crossover: an efficient hybrid algorithm for the traveling salesman problem.

Weichen Liu, Thomas Weise, Yuezhong Wu, Qi Qi

Proceedings of the Genetic and Evolutionary Computation Conference, 2017