NEMo: An Evolutionary Model with Modularity for PPI Networks. - Min Ye; Gabriela C. Racz; Qijia Jiang; Xiuwei Zhang 002; Bernard M. E. Moret (ISBRA, 2016)

Near-optimal method for highly smooth convex optimization. - Sébastien Bubeck; Qijia Jiang; Yin Tat Lee; Yuanzhi Li; Aaron Sidford (COLT, 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 007; Haoyue Wang; Shuzhong Zhang; Sébastien Bubeck; Qijia Jiang; Yin Tat Lee; et al. (COLT, 2019)

Subgradient Descent Learns Orthogonal Dictionaries. - Yu Bai 017; Qijia Jiang; Ju Sun (ICLR (Poster), 2019)

Complexity of Highly Parallel Non-Smooth Convex Optimization. - Sébastien Bubeck; Qijia Jiang; Yin Tat Lee; Yuanzhi Li; Aaron Sidford (NeurIPS, 2019)

Optimizing Black-box Metrics with Adaptive Surrogates. - Qijia Jiang; Olaoluwa Adigun; Harikrishna Narasimhan; Mahdi Milani Fard; Maya R. Gupta (ICML, 2020)

Acceleration with a Ball Optimization Oracle. - Yair Carmon; Arun Jambulapati; Qijia Jiang; Yujia Jin; Yin Tat Lee; Aaron Sidford; Kevin Tian (NeurIPS, 2020)

Learning the Truth From Only One Side of the Story. - Heinrich Jiang; Qijia Jiang; Aldo Pacchiano (AISTATS, 2021)

Mirror Langevin Monte Carlo: the Case Under Isoperimetry. - Qijia Jiang (NeurIPS, 2021)

Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings. - Qijia Jiang (NeurIPS, 2022)

Control, Transport and Sampling: Towards Better Loss Design. - Qijia Jiang; David Nabergoj (CoRR, 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., 2024)

Machine-Learned Sampling of Conditioned Path Measures. - Qijia Jiang; Reuben Cohn-Gordon (CoRR, 2025)