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Qianyi Li
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Journal Articles
- 2022
- [j3]Renfei Yang, Fang Luo, Fu Ren, Wenli Huang, Qianyi Li, Kaixuan Du, Dingdi Yuan:
Identifying Urban Wetlands through Remote Sensing Scene Classification Using Deep Learning: A Case Study of Shenzhen, China. ISPRS Int. J. Geo Inf. 11(2): 131 (2022) - 2021
- [j2]Yuxuan Liu, Qianyi Li, Chao Tang, Shanshan Qin, Yuhai Tu:
Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System. Frontiers Comput. Neurosci. 15: 730431 (2021) - [j1]Mohammad Rafayet Ali, Taylan K. Sen, Qianyi Li, Raina Langevin, Taylor Myers, Earl Ray Dorsey, Saloni Sharma, Ehsan Hoque:
Analyzing Head Pose in Remotely Collected Videos of People with Parkinson's Disease. ACM Trans. Comput. Heal. 2(4): 30:1-30:13 (2021)
Conference and Workshop Papers
- 2024
- [c7]Qianyi Li, Libo Liu, Ofir Turel:
Uncovering the Ripple Effect of Cyberbullying Victimisation on Social Media. ICIS 2024 - [c6]Qianyi Li, Mingxin Zhang, Dilang Tan, Libo Liu, Yixin Zhang:
"Hiding in the Crowd?" In Pursuit of Perceived Anonymity through a Uniform Visual Presentation on Algorithm-driven Social Media Platforms. PACIS 2024 - 2023
- [c5]Qianyi Li, Libo Liu, Chunxiao Yin, Yundan Xiao, Jinbi Yang:
Leveraging Collective Social Capital and Team Diversity to Promote Online Medical Team Performance. PACIS 2023: 162 - 2022
- [c4]Qianyi Li:
Empowering Mental Health Care Technology in Low- and Middle-Income Countries: Establishing Ethical Development Guidelines. ACIS 2022: 26 - [c3]Qianyi Li, Haim Sompolinsky:
Globally Gated Deep Linear Networks. NeurIPS 2022 - 2021
- [c2]Qianyi Li, Ting-Yen Shih:
Non-Foster Matching Circuit Synthesis Using Artificial Neural Networks. RWS 2021: 11-13 - 2020
- [c1]Qianyi Li, Cengiz Pehlevan:
Minimax Dynamics of Optimally Balanced Spiking Networks of Excitatory and Inhibitory Neurons. NeurIPS 2020
Informal and Other Publications
- 2024
- [i4]Haozhe Shan, Qianyi Li, Haim Sompolinsky:
Order parameters and phase transitions of continual learning in deep neural networks. CoRR abs/2407.10315 (2024) - 2023
- [i3]Yehonatan Avidan, Qianyi Li, Haim Sompolinsky:
Connecting NTK and NNGP: A Unified Theoretical Framework for Neural Network Learning Dynamics in the Kernel Regime. CoRR abs/2309.04522 (2023) - 2022
- [i2]Qianyi Li, Haim Sompolinsky:
Globally Gated Deep Linear Networks. CoRR abs/2210.17449 (2022) - 2020
- [i1]Qianyi Li, Haim Sompolinsky:
Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Renormalization Group. CoRR abs/2012.04030 (2020)
Coauthor Index
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