Qijia Jiang

According to our database, Qijia Jiang authored at least 11 papers between 2016 and 2024.

Collaborative distances:

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

2024

Design and Control of a Multi-Locomotion Parallel-Legged Bipedal Robot.

Ruchao Wang, Zhiguo Lu, Yinhe Xiao, Yiheng Zhao, Qijia Jiang, Xinhao Shi

IEEE Robotics Autom. Lett., February, 2024

2022

Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings.

Qijia Jiang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Mirror Langevin Monte Carlo: the Case Under Isoperimetry.

Qijia Jiang

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

Learning the Truth From Only One Side of the Story.

Heinrich Jiang, Qijia Jiang, Aldo Pacchiano

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Acceleration with a Ball Optimization Oracle.

Yair Carmon, Arun Jambulapati, Qijia Jiang, Yujia Jin, Yin Tat Lee, Aaron Sidford, Kevin Tian

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Optimizing Black-box Metrics with Adaptive Surrogates.

Qijia Jiang, Olaoluwa Adigun, Harikrishna Narasimhan, Mahdi Milani Fard, Maya R. Gupta

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Complexity of Highly Parallel Non-Smooth Convex Optimization.

Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Subgradient Descent Learns Orthogonal Dictionaries.

Yu Bai, Qijia Jiang, Ju Sun

Proceedings of the 7th International Conference on Learning Representations, 2019

Near Optimal Methods for Minimizing Convex Functions with Lipschitz $p$-th Derivatives.

Alexander V. Gasnikov, Pavel E. Dvurechensky, Eduard Gorbunov, Evgeniya A. Vorontsova, Daniil Selikhanovych, César A. Uribe, Bo Jiang, Haoyue Wang, Shuzhong Zhang, Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

Proceedings of the Conference on Learning Theory, 2019

Near-optimal method for highly smooth convex optimization.

Sébastien Bubeck, Qijia Jiang, Yin Tat Lee, Yuanzhi Li, Aaron Sidford

Proceedings of the Conference on Learning Theory, 2019

2016

NEMo: An Evolutionary Model with Modularity for PPI Networks.

Min Ye, Gabriela C. Racz, Qijia Jiang, Xiuwei Zhang, Bernard M. E. Moret

Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016