Hanqi Wang

According to our database, Hanqi Wang authored at least 23 papers between 2013 and 2024.

Collaborative distances:

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

2024

InLIOM: Tightly-Coupled Intensity LiDAR Inertial Odometry and Mapping.

Hanqi Wang, Huawei Liang, Zhiyuan Li, Xiaokun Zheng, Haitao Xu, Pengfei Zhou, Bin Kong

IEEE Trans. Intell. Transp. Syst., September, 2024

MKD-Cooper: Cooperative 3D Object Detection for Autonomous Driving via Multi-Teacher Knowledge Distillation.

Zhiyuan Li, Huawei Liang, Hanqi Wang, Mingzhuo Zhao, Jian Wang, Xiaokun Zheng

IEEE Trans. Intell. Veh., January, 2024

Silent EEG classification using cross-fusion adaptive graph convolution network for multilingual neurolinguistic signal decoding.

Chengfang Li, Hanqi Wang, Yang Liu, Xiaoguang Zhu, Liang Song

Biomed. Signal Process. Control., January, 2024

ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments.

Jingyu Zhang, Kun Yang, Yilei Wang, Hanqi Wang, Peng Sun, Liang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A multi-modal vehicle trajectory prediction framework via conditional diffusion model: A coarse-to-fine approach.

Zhiyuan Li, Huawei Liang, Hanqi Wang, Xiaokun Zheng, Jian Wang, Pengfei Zhou

Knowl. Based Syst., November, 2023

A fast coarse-to-fine point cloud registration based on optical flow for autonomous vehicles.

Hanqi Wang, Huawei Liang, Zhiyuan Li, Pengfei Zhou, Liangji Chen

Appl. Intell., August, 2023

DSDCLA: driving style detection via hybrid CNN-LSTM with multi-level attention fusion.

Jing Liu, Yang Liu, Di Li, Hanqi Wang, Xiaohong Huang, Liang Song

Appl. Intell., August, 2023

Rethinking Saliency Map: A Context-Aware Perturbation Method to Explain EEG-Based Deep Learning Model.

Hanqi Wang, Xiaoguang Zhu, Tao Chen, Chengfang Li, Liang Song

IEEE Trans. Biomed. Eng., May, 2023

Joint Design of a Simultaneous Reflection and Transmission RIS in Mode-Switching Mode to Assist NOMA Systems.

Xiaoping Zhou, Hanqi Wang, Jiajia Chen

Sensors, 2023

Dynamic vehicle pose estimation and tracking based on motion feedback for LiDARs.

Fengyu Xu, Zhiling Wang, Hanqi Wang, Linglong Lin, Huawei Liang

Appl. Intell., 2023

3D Object Detection Based on Neighborhood Graph Search in Dense Scenes.

Liangji Chen, Zhiling Wang, Hanqi Wang, Pengfei Zhou

Proceedings of the 2023 3rd International Conference on Robotics and Control Engineering, 2023

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling.

Kun Yang, Dingkang Yang, Jingyu Zhang, Hanqi Wang, Peng Sun, Liang Song

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception.

Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song

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

A Novel Efficient Multi-View Traffic-Related Object Detection Framework.

Kun Yang, Jing Liu, Dingkang Yang, Hanqi Wang, Peng Sun, Yanni Zhang, Yan Liu, Liang Song

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model.

Hanqi Wang, Xiaoguang Zhu, Tao Chen, Chengfang Li, Liang Song

CoRR, 2022

Drivable Area Segmentation in Unstructured Roads for Autonomous Vehicles based on Multi-sensor Fusion.

Hanqi Wang, Huawei Liang, Liangji Chen, Diancheng Gong, Pengfei Zhou, Bin Kong

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

2021

Optimal Vehicle Pose Estimation Network Based on Time Series and Spatial Tightness with 3D LiDARs.

Hanqi Wang, Zhiling Wang, Linglong Lin, Fengyu Xu, Jie Yu, Huawei Liang

Remote. Sens., 2021

Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly.

Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang

Proceedings of the Neural Information Processing - 28th International Conference, 2021

2018

Identifying Objective and Subjective Words via Topic Modeling.

Hanqi Wang, Fei Wu, Weiming Lu, Yi Yang, Xi Li, Xuelong Li, Yueting Zhuang

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling.

Yueting Zhuang, Hanqi Wang, Jun Xiao, Fei Wu, Yi Yang, Weiming Lu, Zhongfei Zhang

IEEE Trans. Knowl. Data Eng., 2017

Learning Deep Contextual Attention Network for Narrative Photo Stream Captioning.

Hanqi Wang, Siliang Tang, Yin Zhang, Tao Mei, Yueting Zhuang, Fei Wu

Proceedings of the on Thematic Workshops of ACM Multimedia 2017, Mountain View, CA, USA, October 23, 2017

2014

Jointly Discovering Fine-grained and Coarse-grained Sentiments via Topic Modeling.

Hanqi Wang, Fei Wu, Xi Li, Siliang Tang, Jian Shao, Yueting Zhuang

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2013

πLDA: document clustering with selective structural constraints.

Siliang Tang, Hanqi Wang, Jian Shao, Fei Wu, Ming Chen, Yueting Zhuang

Proceedings of the ACM Multimedia Conference, 2013