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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j9]Xinlin Li
, Zezhou Hao, Di Li, Qiuye Jin, Zhixian Tang, Xufeng Yao, Tao Wu:
Brain age prediction via cross-stratified ensemble learning. NeuroImage 299: 120825 (2024)- [j8]Xinlin Li, Yiming Wang, Xiaoyu Bi, Yalu Xu, Haojiang Ying, Yiyang Chen:
Multi-Dimensional Data Analysis Platform (MuDAP): A Cognitive Science Data Toolbox. Symmetry 16(4): 503 (2024) - [j7]Xinlin Li, Xuzhen Wu, Peipei Wang, Yalu Xu, Yue Gao, Yiyang Chen:
Bi-Objective Circular Multi-Rail-Guided Vehicle Scheduling Optimization Considering Multi-Type Entry and Delivery Tasks: A Combined Genetic Algorithm and Symmetry Algorithm. Symmetry 16(9): 1205 (2024) - [c15]Muqing Liu, Zhuxuan Chen, Qingyi Li, Xinlin Li:
Suzhou Garden Dynamic Image Design Based on Digital Media Programming and Sound Visualization. HCI (58) 2024: 266-275 - [c14]Osama A. Hanna, Xinlin Li, Suhas N. Diggavi, Christina Fragouli:
On the Relation Between the Common Information Dimension and Wyner Common Information. ISIT 2024: 2311-2316 - [i13]Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia:
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. CoRR abs/2402.17710 (2024) - 2023
- [j6]Feng Xu, Huiwen Shi, Xingdong Wu, Xinlin Li, Yong Sun:
Experimental study on heat storing and release properties of fluidized bed regenerative device. J. Comput. Methods Sci. Eng. 23(2): 855-865 (2023) - [j5]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi:
Deep Neural Networks Pruning via the Structured Perspective Regularization. SIAM J. Math. Data Sci. 5(4): 1051-1077 (2023) - [j4]Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia:
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. SN Comput. Sci. 4(5): 507 (2023) - [c13]Xinlin Li, Merve Karakas, Osama A. Hanna, Mehrdad Kiamari, Jared Ray Coleman, Christina Fragouli, Bhaskar Krishnamachari, Gunjan Verma:
Online Allocation of Sensing and Computation in Large Graphs. CIC 2023: 28-34 - [c12]Phuoc-Hoan Charles Le, Xinlin Li:
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. CVPR Workshops 2023: 4665-4674 - [c11]Chenlei Zhang, Xinlin Li, Yuchen Luan, Wenjun Fan:
A Chaotic Encryption Approach Improving Digital Image Security. CyberC 2023: 383-392 - [c10]Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. ICCV 2023: 16964-16974 - [c9]Osama A. Hanna, Xinlin Li, Suhas N. Diggavi, Christina Fragouli:
Common Information Dimension. ISIT 2023: 406-411 - [c8]Xinlin Li, Osama A. Hanna, Christina Fragouli, Suhas N. Diggavi, Gunjan Verma, Joydeep Bhattacharyya:
Feature Compression for Multimodal Multi-Object Tracking. MILCOM 2023: 139-143 - [c7]Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia:
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. NeurIPS 2023 - [c6]Xia Xu, Wenjie Wang, Zengbei Yuan, Xinlin Li, Tao Wu, Xufeng Yao:
Classification of Alzheimer??s Disease using combined features of fMRI Brain Network and clinical scales. PCCNT 2023: 88:1-88:5 - [i12]Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen:
Mathematical Challenges in Deep Learning. CoRR abs/2303.15464 (2023) - [i11]Osama A. Hanna, Xinlin Li, Suhas N. Diggavi, Christina Fragouli:
Common Information Dimension. CoRR abs/2305.06469 (2023) - [i10]Phuoc-Hoan Charles Le, Xinlin Li:
BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. CoRR abs/2306.16678 (2023) - 2022
- [j3]Xinlin Li, Lili Tan, Yingxuan Li, Junyu Qi, Puyu Feng, Baoguo Li, De Li Liu, Xueliang Zhang, Gray W. Marek, Yingqi Zhang, Haipeng Liu, Raghavan Srinivasan, Yong Chen:
Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management - A comparison between CMIP5 and CMIP6. Comput. Electron. Agric. 202: 107408 (2022) - [j2]Chuanxin Cheng, Shuang Duan, Haidong He, Xinlin Li, Yiyang Chen:
A Generalized Robot Navigation Analysis Platform (RoNAP) with Visual Results Using Multiple Navigation Algorithms. Sensors 22(23): 9036 (2022) - [j1]Chengdong Lin, Xinlin Li, Zhenjiang Li, Junhui Hou:
Finding Stars From Fireworks: Improving Non-Cooperative Iris Tracking. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6137-6147 (2022) - [c5]Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia:
EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. ICPRAM 2022: 141-151 - [c4]Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen:
Low-bit Shift Network for End-to-End Spoken Language Understanding. INTERSPEECH 2022: 2698-2702 - [c3]Osama A. Hanna, Xinlin Li, Christina Fragouli, Suhas N. Diggavi:
Can we break the dependency in distributed detection? ISIT 2022: 2720-2725 - [i9]Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi:
Deep Neural Networks pruning via the Structured Perspective Regularization. CoRR abs/2206.14056 (2022) - [i8]Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen:
Low-bit Shift Network for End-to-End Spoken Language Understanding. CoRR abs/2207.07497 (2022) - [i7]Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia:
DenseShift: Towards Accurate and Transferable Low-Bit Shift Network. CoRR abs/2208.09708 (2022) - [i6]Xinlin Li, Mariana Parazeres, Adam M. Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia:
EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models. CoRR abs/2212.11803 (2022) - 2021
- [c2]Xinlin Li, Shuqi Liu, Xinyi Zhang, Linqi Song:
Predicting Downside in Stock Market Using Knowledge and News Data. ICPADS 2021: 34-41 - [c1]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. NeurIPS 2021: 14555-14566 - [i5]Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia:
S3: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks. CoRR abs/2107.03453 (2021) - 2020
- [i4]Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia:
Importance of Data Loading Pipeline in Training Deep Neural Networks. CoRR abs/2005.02130 (2020) - [i3]Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng:
Clustering Causal Additive Noise Models. CoRR abs/2006.04877 (2020) - [i2]Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia:
Tensor train decompositions on recurrent networks. CoRR abs/2006.05442 (2020)
2010 – 2019
- 2019
- [i1]Xinlin Li, Vahid Partovi Nia:
Random Bias Initialization Improving Binary Neural Network Training. CoRR abs/1909.13446 (2019)
Coauthor Index
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