Longwei Wang

According to our database, Longwei Wang authored at least 37 papers between 2011 and 2026.

Collaborative distances:

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

2026

MBD-Planner: A Real-Time Obstacle Avoidance Framework for UAVs via Feature-Domain Motion Blur Decoupling.

Sitian Peng, Rui Wang, Liang Yu, Longwei Wang

IEEE Robotics Autom. Lett., May, 2026

Learning to Select Like Humans: Explainable Active Learning for Medical Imaging.

Ifrat Ikhtear Uddin, Longwei Wang, Xiao Qin, Yang Zhou, KC Santosh

CoRR, February, 2026

Channel Selected Stratified Nested Cross Validation for Clinically Relevant EEG Based Parkinsons Disease Detection.

Nicholas Rasmussen, Rodrigue Rizk, Longwei Wang, Arun Singh, KC Santosh

CoRR, January, 2026

Expert-Guided Explainable Few-Shot Learning with Active Sample Selection for Medical Image Analysis.

Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh

CoRR, January, 2026

Acting Flatterers via LLMs Sycophancy: Combating Clickbait with LLMs Opposing-Stance Reasoning.

Chaowei Zhang, Xiansheng Luo, Zewei Zhang, Yi Zhu, Jipeng Qiang, Longwei Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness.

Longwei Wang, Ifrat Ikhtear Uddin, KC Santosh, Chaowei Zhang, Xiao Qin, Yang Zhou

CoRR, October, 2025

Promoting Shape Bias in CNNs: Frequency-Based and Contrastive Regularization for Corruption Robustness.

Robin Narsingh Ranabhat, Longwei Wang, Amit Kumar Patel, KC Santosh

CoRR, September, 2025

CoSwin: Convolution Enhanced Hierarchical Shifted Window Attention For Small-Scale Vision.

Puskal Khadka, Rodrigue Rizk, Longwei Wang, KC Santosh

CoRR, September, 2025

Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring.

Nicholas Rasmussen, Rodrigue Rizk, Longwei Wang, KC Santosh

CoRR, September, 2025

Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization.

Casey Wall, Longwei Wang, Rodrigue Rizk, KC Santosh

CoRR, July, 2025

Promotion or Prevention? Does CEOs' Famine Experience Affect Their Digital Transformation Decisions?

Zhenyu Wang, Longwei Wang, Min Zhang

IEEE Trans. Engineering Management, 2025

Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis.

Ifrat Ikhtear Uddin, Longwei Wang, KC Santosh

Proceedings of the Data Engineering in Medical Imaging - Third MICCAI Workshop, 2025

Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks.

Longwei Wang, Mohammad Navid Nayyem, Abdullah Al Rakin, KC Santosh, Chaowei Zhang, Yang Zhou

Proceedings of the IEEE International Conference on Data Mining, 2025

Toward Carbon-Neutral Human AI: Rethinking Data, Computation, and Learning Paradigms for Sustainable Intelligence.

KC Santosh, Rodrigue Rizk, Longwei Wang

Proceedings of the 7th IEEE International Conference on Cognitive Machine Intelligence, 2025

2024

Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning.

Longwei Wang, Navid Nayyem, Abdullah Al Rakin

CoRR, 2024

Bridging Interpretability and Robustness Using LIME-Guided Model Refinement.

Navid Nayyem, Abdullah Al Rakin, Longwei Wang

CoRR, 2024

Dense Cross-Connected Ensemble Convolutional Neural Networks for Enhanced Model Robustness.

Longwei Wang, Xueqian Li, Zheng Zhang

CoRR, 2024

Enhanced Model Robustness by Integrated Local and Global Processing.

Longwei Wang, Aashish Ghimire, KC Santosh

Proceedings of the 6th IEEE International Conference on Cognitive Machine Intelligence, 2024

2022

Looking Beyond Content: Modeling and Detection of Fake News from a Social Context Perspective.

Kenan Xiao, Longwei Wang, Ashish Gupta, Xiao Qin

Proceedings of the 55th Hawaii International Conference on System Sciences, 2022

2021

How does contract completeness affect tacit knowledge acquisition?

Longwei Wang, Meige Song, Min Zhang, Li Wang

J. Knowl. Manag., 2021

Improving robustness of deep neural networks via large-difference transformation.

Longwei Wang, Chengfei Wang, Yupeng Li, Rui Wang

Neurocomputing, 2021

Explaining the Behavior of Neuron Activations in Deep Neural Networks.

Longwei Wang, Chengfei Wang, Yupeng Li, Rui Wang

Ad Hoc Networks, 2021

2019

Representation Learning and Nature Encoded Fusion for Heterogeneous Sensor Networks.

Longwei Wang, Qilian Liang

IEEE Access, 2019

Feature Extraction and Identification of Pipeline Intrusion Based on Phase-Sensitive Optical Time Domain Reflectometer.

Zhanfeng Zhao, Duo Liu, Longwei Wang, Shujun Liu

Proceedings of the Wireless and Satellite Systems, 2019

Detection of Print Head Defect Based on Image Processing Technology.

Zhanfeng Zhao, Duo Liu, Longwei Wang

Proceedings of the Wireless and Satellite Systems, 2019

DFT-Spread Based PAPR Reduction of OFDM for Short Reach Communication Systems.

Yupeng Li, Yaqi Wang, Longwei Wang

Proceedings of the Communications, Signal Processing, and Systems, 2019

Deep Reinforcement Learning Based Computation Offloading for Mobility-Aware Edge Computing.

Minyan Shi, Rui Wang, Erwu Liu, Zhixin Xu, Longwei Wang

Proceedings of the Communications and Networking, 2019

2018

Performance Analysis of Cooperative Multicell Precoding With Global CSI and Local Individual CSI in the Large Dimensional Regime.

Longwei Wang, Qilian Liang

IEEE Trans. Veh. Technol., 2018

Partial Interference Alignment for Heterogeneous Cellular Networks.

Longwei Wang, Qilian Liang

IEEE Access, 2018

2017

Low complexity optimization for user centric cellular networks via large dimensional analysis.

Longwei Wang, Qilian Liang

Phys. Commun., 2017

Trust and knowledge creation: the moderating effects of legal inadequacy.

Longwei Wang, Min Zhang, Xiaodong Li

Ind. Manag. Data Syst., 2017

2016

Large system analysis for densification of cellular networks with massive MIMO.

Longwei Wang, Qilian Liang

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Large dimensional analysis of cooperative multicell precoding with local individual csi.

Longwei Wang, Qilian Liang

Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

Optimization for User Centric Massive MIMO Cell Free Networks via Large System Analysis.

Longwei Wang, Qilian Liang

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2014

Congestion aware dynamic user association in Heterogeneous cellular network: A stochastic decision approach.

Longwei Wang, Wen Chen, Jun Li

Proceedings of the IEEE International Conference on Communications, 2014

2011

Collaborative spectrum sharing based on information pooling for cognitive radio networks with channel heterogeneity.

Longwei Wang, Xianfu Chen, Zhifeng Zhao, Honggang Zhang

Proceedings of the 11th International Symposium on Communications and Information Technologies, 2011

Exploration vs exploitation for distributed channel access in cognitive radio networks: A multi-user case study.

Longwei Wang, Xianfu Chen, Zhifeng Zhao, Honggang Zhang

Proceedings of the 11th International Symposium on Communications and Information Technologies, 2011