Random Bias Initialization Improving Binary Neural Network Training. - Xinlin Li; Vahid Partovi Nia (CoRR, 2019)

Importance of Data Loading Pipeline in Training Deep Neural Networks. - Mahdi Zolnouri; Xinlin Li; 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)

Tensor train decompositions on recurrent networks. - Alejandro Murua; Ramchalam Ramakrishnan; Xinlin Li; Rui Heng Yang; Vahid Partovi Nia (CoRR, 2020)

Predicting Downside in Stock Market Using Knowledge and News Data. - Xinlin Li; Shuqi Liu 001; Xinyi Zhang; Linqi Song (ICPADS, 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 (NeurIPS, 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)

EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. - Mariana Oliveira Prazeres; Xinlin Li; Adam M. Oberman; Vahid Partovi Nia (ICPRAM, 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 (INTERSPEECH, 2022)

Can we break the dependency in distributed detection? - Osama A. Hanna; Xinlin Li; Christina Fragouli; Suhas N. Diggavi (ISIT, 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 005; Raghavan Srinivasan; et al. (Comput. Electron. Agric., 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)

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)

Finding Stars From Fireworks: Improving Non-Cooperative Iris Tracking. - Chengdong Lin; Xinlin Li; Zhenjiang Li; Junhui Hou (IEEE Trans. Circuits Syst. Video Technol., 2022)

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 (CIC, 2023)

BinaryViT: Pushing Binary Vision Transformers Towards Convolutional Models. - Phuoc-Hoan Charles Le; Xinlin Li (CVPR Workshops, 2023)

A Chaotic Encryption Approach Improving Digital Image Security. - Chenlei Zhang; Xinlin Li; Yuchen Luan; Wenjun Fan (CyberC, 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 (ICCV, 2023)

Feature Compression for Multimodal Multi-Object Tracking. - Xinlin Li; Osama A. Hanna; Christina Fragouli; Suhas N. Diggavi; Gunjan Verma; Joydeep Bhattacharyya (MILCOM, 2023)

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers. - Yiwei Lu 001; Yaoliang Yu; Xinlin Li; Vahid Partovi Nia (NeurIPS, 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 (PCCNT, 2023)

Mathematical Challenges in Deep Learning. - Vahid Partovi Nia; Guojun Zhang; Ivan Kobyzev; Michael R. Metel; Xinlin Li; Ke Sun 013; Sobhan Hemati; Masoud Asgharian; Linglong Kong; Wulong Liu; Boxing Chen (CoRR, 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)

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., 2023)

Deep Neural Networks Pruning via the Structured Perspective Regularization. - Matteo Cacciola; Antonio Frangioni; Xinlin Li; Andrea Lodi 001 (SIAM J. Math. Data Sci., 2023)

Suzhou Garden Dynamic Image Design Based on Digital Media Programming and Sound Visualization. - Muqing Liu; Zhuxuan Chen; Qingyi Li; Xinlin Li (HCI (58), 2024)

On the Relation Between the Common Information Dimension and Wyner Common Information. - Osama A. Hanna; Xinlin Li; Suhas N. Diggavi; Christina Fragouli (ISIT, 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)

Multi-Dimensional Data Analysis Platform (MuDAP): A Cognitive Science Data Toolbox. - Xinlin Li; Yiming Wang; Xiaoyu Bi; Yalu Xu; Haojiang Ying; Yiyang Chen (Symmetry, 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 013; Yiyang Chen (Symmetry, 2024)

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. - Tomoyoshi Kimura; Xinlin Li; Osama A. Hanna; Yatong Chen; Yizhuo Chen; Denizhan Kara; Tianshi Wang; Jinyang Li 004; Xiaomin Ouyang; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; et al. (WWW, 2025)

Multi-objective virtual calibration method for parameters in two control strategies of a complex hybrid electric vehicle. - Jiangbin Yu; Xin Zhang; Haohua Yan; Xinlin Li (Eng. Appl. Artif. Intell., 2025)

Enhancing Binary Search via Overlapping Partitions. - Kaan Buyukkalayci; Merve Karakas; Xinlin Li; Christina Fragouli (CoRR, 2025)

ICQuant: Index Coding enables Low-bit LLM Quantization. - Xinlin Li; Osama A. Hanna; Christina Fragouli; Suhas N. Diggavi (CoRR, 2025)

Common Information Dimension. - Xinlin Li; Osama A. Hanna; Suhas N. Diggavi; Christina Fragouli (IEEE Trans. Inf. Theory, 2025)