A Novel Variational Family for Hidden Nonlinear Markov Models. - Daniel Hernández 010; Antonio Khalil Moretti; Ziqiang Wei; Shreya Saxena; John P. Cunningham; Liam Paninski (CoRR, 2018)

Visual physiology of the layer 4 cortical circuit in silico. - Anton Arkhipov; Nathan W. Gouwens; Yazan N. Billeh; Sergey L. Gratiy; Ramakrishnan Iyer; Ziqiang Wei; Zihao Xu; Reza Abbasi-Asl; Jim Berg; Michael A. Buice; Nicholas Cain; Nuno daCosta; et al. (PLoS Comput. Biol., 2018)

A comparison of neuronal population dynamics measured with calcium imaging and electrophysiology. - Ziqiang Wei; Bei-Jung Lin; Tsai-Wen Chen; Kayvon Daie; Karel Svoboda; Shaul Druckmann (PLoS Comput. Biol., 2020)

A Self-Supervised Model Advance OCTA Image Disease Diagnosis. - Bingbing Li; Yiheng Ding; Ziqiang Wei; Zhijie Fu; Peng Sun; Qi Sun; Hong Zhang; Hongwei Mo (Int. J. Pattern Recognit. Artif. Intell., 2022)

Deep Reinforcement Learning for Quantitative Portfolio Management. - Ziqiang Wei; Deng Chen (ICRSA, 2023)

Dimensionality reduction of calcium-imaged neuronal population activity. - Tze Hui Koh; William E. Bishop; Takashi Kawashima; Brian B. Jeon; Ranjani Srinivasan; Yu Mu; Ziqiang Wei; Sandra J. Kuhlman; Misha B. Ahrens; Steven M. Chase; Byron M. Yu (Nat. Comput. Sci., 2023)

3-D Imaging and Inverse Labeling of Biological Samples Based on Reflectance-Guided Adaptive Fringe Projection. - Ziqiang Wei; Sudong Ding; Yan Hu; Shuang Mu; Kehui Wang; Kun Gui; Shijie Feng; Qian Chen 002; Chao Zuo 001 (IEEE Trans. Instrum. Meas., 2025)

Deep reinforcement learning portfolio model based on mixture of experts. - Ziqiang Wei; Deng Chen; Yanduo Zhang; Dawei Wen; Xin Nie; Liang Xie 001 (Appl. Intell., 2025)