| Advanced graph and sequence neural networks for molecular property prediction and drug discovery Z Wang, M Liu, Y Luo, Z Xu, Y Xie, L Wang, L Cai, Q Qi, Z Yuan, T Yang, ... Bioinformatics 38 (9), 2579-2586, 2022 | 94 | 2022 |
| Stochastic optimization of areas under precision-recall curves with provable convergence Q Qi, Y Luo, Z Xu, S Ji, T Yang Advances in neural information processing systems 34, 1752-1765, 2021 | 72 | 2021 |
| An Online Method for A Class of Distributionally Robust Optimization with Non-convex Objectives Q Qi, Z Guo, Y Xu, R Jin, T Yang Advances in Neural Information Processing Systems 34, 10067-10080, 2021 | 46* | 2021 |
| Stochastic optimization for DC functions and non-smooth non-convex regularizers with non-asymptotic convergence Y Xu, Q Qi, Q Lin, R Jin, T Yang International conference on machine learning, 6942-6951, 2019 | 44 | 2019 |
| Attentional-Biased Stochastic Gradient Descent Q Qi, Y Xu, W Yin, R Jin, T Yang Transactions on Machine Learning Research 2023, 2023 | 20 | 2023 |
| A Simple and Effective Framework for Pairwise Deep Metric Learning Q Qi, Y Yan, Z Wu, X Wang, T Yang European Conference on Computer Vision (ECCV), 2020, 2020 | 19 | 2020 |
| Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features T Weise, X Wang, Q Qi, B Li, K Tang Applied Soft Computing 73, 366-382, 2018 | 17 | 2018 |
| Stochastic constrained dro with a complexity independent of sample size Q Qi, J Lyu, EW Bai, T Yang Transactions on Machine Learning Research 2023, 2023 | 11 | 2023 |
| Variance-reduced off-policy memory-efficient policy search D Lyu, Q Qi, M Ghavamzadeh, H Yao, T Yang, B Liu Offline Reinforcement Learning Workshop at Neural Information Processing …, 2020 | 6 | 2020 |
| Lego: Language enhanced multi-modal grounding model Z Li, Q Xu, D Zhang, H Song, Y Cai, Q Qi, R Zhou, J Pan, Z Li, VT Vu, ... arXiv preprint arXiv:2401.06071, 2024 | 5 | 2024 |
| Optimization algorithm behavior modeling: A study on the traveling salesman problem Q Qi, T Weise, B Li 2018 Tenth International Conference on Advanced Computational Intelligence …, 2018 | 5 | 2018 |
| Modeling optimization algorithm runtime behavior and its applications Q Qi, T Weise, B Li Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2017 | 5 | 2017 |
| Improving identity-robustness for face models Q Qi, S Ardeshir ICML 2023 SCIS Workshop, 2023 | 4 | 2023 |
| A branch-and-bound-based crossover operator for the traveling salesman problem T Weise, Y Jiang, Q Qi, W Liu International Journal of Cognitive Informatics and Natural Intelligence …, 2019 | 4 | 2019 |
| Combining two local searches with crossover: An efficient hybrid algorithm for the traveling salesman problem W Liu, T Weise, Y Wu, Q Qi Proceedings of the Genetic and Evolutionary Computation Conference, 298-305, 2017 | 3 | 2017 |
| Fairness via Adversarial Attribute Neighbourhood Robust Learning Q Qi, S Ardeshir, Y Xu, T Yang arXiv preprint arXiv:2210.06630, 2022 | 1 | 2022 |
| Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning Q Qi, Q Hu, Q Lin, T Yang arXiv preprint arXiv:2406.05686, 2024 | | 2024 |
| Single-loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions Q Hu, Q Qi, Z Lu, T Yang arXiv preprint arXiv:2405.18577, 2024 | | 2024 |
| QCRD: Quality-guided Contrastive Rationale Distillation for Large Language Models W Wang, Z Li, Q Xu, Y Cai, H Song, Q Qi, R Zhou, Z Huang, T Wang, ... arXiv preprint arXiv:2405.13014, 2024 | | 2024 |
| Efficient Algorithms for Distributionally Robust Optimization and Its Applications Q Qi The University of Iowa, 2023 | | 2023 |
Tianbao YangTexas A&M UniversityE-mailová adresa ověřena na: tamu.edu
