Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons. - Qianyi Li; Cengiz Pehlevan (NeurIPS, 2020)

Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group. - Qianyi Li; Haim Sompolinsky (CoRR, 2020)

Non-Foster Matching Circuit Synthesis Using Artificial Neural Networks. - Qianyi Li; Ting-Yen Shih (RWS, 2021)

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System. - Yuxuan Liu; Qianyi Li; Chao Tang; Shanshan Qin; Yuhai Tu (Frontiers Comput. Neurosci., 2021)

Analyzing Head Pose in Remotely Collected Videos of People with Parkinson's Disease. - Mohammad Rafayet Ali; Taylan K. Sen; Qianyi Li; Raina Langevin; Taylor Myers; Earl Ray Dorsey; Saloni Sharma; Ehsan Hoque 001 (ACM Trans. Comput. Heal., 2021)

Empowering Mental Health Care Technology in Low- and Middle-Income Countries: Establishing Ethical Development Guidelines. - Qianyi Li (ACIS, 2022)

Globally Gated Deep Linear Networks. - Qianyi Li; Haim Sompolinsky (NeurIPS, 2022)

Identifying Urban Wetlands through Remote Sensing Scene Classification Using Deep Learning: A Case Study of Shenzhen, China. - Renfei Yang; Fang Luo; Fu Ren; Wenli Huang; Qianyi Li; Kaixuan Du; Dingdi Yuan (ISPRS Int. J. Geo Inf., 2022)

Leveraging Collective Social Capital and Team Diversity to Promote Online Medical Team Performance. - Qianyi Li; Libo Liu; Chunxiao Yin; Yundan Xiao; Jinbi Yang (PACIS, 2023)

Connecting NTK and NNGP: A Unified Theoretical Framework for Neural Network Learning Dynamics in the Kernel Regime. - Yehonatan Avidan; Qianyi Li; Haim Sompolinsky (CoRR, 2023)

Uncovering the Ripple Effect of Cyberbullying Victimisation on Social Media. - Qianyi Li; Libo Liu; Ofir Turel (ICIS, 2024)

"Hiding in the Crowd?" In Pursuit of Perceived Anonymity through a Uniform Visual Presentation on Algorithm-driven Social Media Platforms. - Qianyi Li; Mingxin Zhang; Dilang Tan; Libo Liu; Yixin Zhang (PACIS, 2024)

Order parameters and phase transitions of continual learning in deep neural networks. - Haozhe Shan; Qianyi Li; Haim Sompolinsky (CoRR, 2024)

Prototype-guided and dynamic-aware video anomaly detection. - Chao Huang 008; Qianyi Li; Bob Zhang 001 (Neural Networks, 2025)