Xinlin Li

According to our database, Xinlin Li authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bi-Objective Circular Multi-Rail-Guided Vehicle Scheduling Optimization Considering Multi-Type Entry and Delivery Tasks: A Combined Genetic Algorithm and Symmetry Algorithm.

Xinlin Li, Xuzhen Wu, Peipei Wang, Yalu Xu, Yue Gao, Yiyang Chen

Symmetry, September, 2024

Multi-Dimensional Data Analysis Platform (MuDAP): A Cognitive Science Data Toolbox.

Xinlin Li, Yiming Wang, Xiaoyu Bi, Yalu Xu, Haojiang Ying, Yiyang Chen

Symmetry, April, 2024

Brain age prediction via cross-stratified ensemble learning.

Xinlin Li, Zezhou Hao, Di Li, Qiuye Jin, Zhixian Tang, Xufeng Yao, Tao Wu

NeuroImage, 2024

On the Relation Between the Common Information Dimension and Wyner Common Information.

Osama A. Hanna, Xinlin Li, Suhas N. Diggavi, Christina Fragouli

Proceedings of the IEEE International Symposium on Information Theory, 2024

Suzhou Garden Dynamic Image Design Based on Digital Media Programming and Sound Visualization.

Muqing Liu, Zhuxuan Chen, Qingyi Li, Xinlin Li

Proceedings of the HCI International 2024 Posters, 2024

2023

Deep Neural Networks Pruning via the Structured Perspective Regularization.

Matteo Cacciola, Antonio Frangioni, Xinlin Li, Andrea Lodi

SIAM J. Math. Data Sci., December, 2023

EuclidNets: An Alternative Operation for Efficient Inference of Deep Learning Models.

Xinlin Li, Mariana Parazeres, Adam Oberman, Alireza Ghaffari, Masoud Asgharian, Vahid Partovi Nia

SN Comput. Sci., September, 2023

Experimental study on heat storing and release properties of fluidized bed regenerative device.

Feng Xu, Huiwen Shi, Xingdong Wu, Xinlin Li, Yong Sun

J. Comput. Methods Sci. Eng., 2023

Mathematical Challenges in Deep Learning.

Vahid Partovi Nia, Guojun Zhang, Ivan Kobyzev, Michael R. Metel, Xinlin Li, Ke Sun, Sobhan Hemati, Masoud Asgharian, Linglong Kong, Wulong Liu, Boxing Chen

CoRR, 2023

Classification of Alzheimer??s Disease using combined features of fMRI Brain Network and clinical scales.

Xia Xu, Wenjie Wang, Zengbei Yuan, Xinlin Li, Tao Wu, Xufeng Yao

Proceedings of the 2023 International Conference on Power, 2023

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers.

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Feature Compression for Multimodal Multi-Object Tracking.

Xinlin Li, Osama A. Hanna, Christina Fragouli, Suhas N. Diggavi, Gunjan Verma, Joydeep Bhattacharyya

Proceedings of the IEEE Military Communications Conference, 2023

Common Information Dimension.

Osama A. Hanna, Xinlin Li, Suhas N. Diggavi, Christina Fragouli

Proceedings of the IEEE International Symposium on Information Theory, 2023

DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Chaotic Encryption Approach Improving Digital Image Security.

Chenlei Zhang, Xinlin Li, Yuchen Luan, Wenjun Fan

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2023

BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models.

Phuoc-Hoan Charles Le, Xinlin Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Online Allocation of Sensing and Computation in Large Graphs.

Xinlin Li, Merve Karakas, Osama A. Hanna, Mehrdad Kiamari, Jared Ray Coleman, Christina Fragouli, Bhaskar Krishnamachari, Gunjan Verma

Proceedings of the 9th IEEE International Conference on Collaboration and Internet Computing, 2023

2022

Finding Stars From Fireworks: Improving Non-Cooperative Iris Tracking.

Chengdong Lin, Xinlin Li, Zhenjiang Li, Junhui Hou

IEEE Trans. Circuits Syst. Video Technol., 2022

A Generalized Robot Navigation Analysis Platform (RoNAP) with Visual Results Using Multiple Navigation Algorithms.

Chuanxin Cheng, Shuang Duan, Haidong He, Xinlin Li, Yiyang Chen

Sensors, 2022

DenseShift: Towards Accurate and Transferable Low-Bit Shift Network.

Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia

CoRR, 2022

Effects of global climate change on the hydrological cycle and crop growth under heavily irrigated management - A comparison between CMIP5 and CMIP6.

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

Comput. Electron. Agric., 2022

Can we break the dependency in distributed detection?

Osama A. Hanna, Xinlin Li, Christina Fragouli, Suhas N. Diggavi

Proceedings of the IEEE International Symposium on Information Theory, 2022

Low-bit Shift Network for End-to-End Spoken Language Understanding.

Anderson R. Avila, Khalil Bibi, Rui Heng Yang, Xinlin Li, Chao Xing, Xiao Chen

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference.

Mariana Oliveira Prazeres, Xinlin Li, Adam M. Oberman, Vahid Partovi Nia

Proceedings of the 11th International Conference on Pattern Recognition Applications and Methods, 2022

2021

S³: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

CoRR, 2021

S$^3$: Sign-Sparse-Shift Reparametrization for Effective Training of Low-bit Shift Networks.

Xinlin Li, Bang Liu, Yaoliang Yu, Wulong Liu, Chunjing Xu, Vahid Partovi Nia

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predicting Downside in Stock Market Using Knowledge and News Data.

Xinlin Li, Shuqi Liu, Xinyi Zhang, Linqi Song

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Tensor train decompositions on recurrent networks.

Alejandro Murua, Ramchalam Ramakrishnan, Xinlin Li, Rui Heng Yang, Vahid Partovi Nia

CoRR, 2020

Clustering Causal Additive Noise Models.

Vahid Partovi Nia, Xinlin Li, Masoud Asgharian, Shoubo Hu, Zhitang Chen, Yanhui Geng

CoRR, 2020

Importance of Data Loading Pipeline in Training Deep Neural Networks.

Mahdi Zolnouri, Xinlin Li, Vahid Partovi Nia

CoRR, 2020

2019

Random Bias Initialization Improving Binary Neural Network Training.

Xinlin Li, Vahid Partovi Nia

CoRR, 2019