Changshuo Wang (王昌硕)

I am currently a Research Fellow at Nanyang Technological University (NTU) (since September 2023). In June 2023, I obtained my doctoral degree from the University of Chinese Academy of Sciences (UCAS) and the Institute of Semiconductors, Chinese Academy of Sciences (CAS), advised by Prof. Weijun Li and Wanang Xiao . In 2018, I obtained my B.Eng. in the institute of automation, Qingdao University of science and technology (QUST).

I am interested in computer vision and deep learning. My current research focuses on:

2D/3D scene understanding and generation based on multimodal data;

Human-centered visual understanding, such as person re-identification;

Brain-inspired visual cognition algorithm.

Email / CV / Google Scholar / Github

Note: we are hosting a special issue in Electronics titled "Recent Progress in Visual AI: Architectures, Learning, and Applications." I am currently serving as a guest editor and warmly invite everyone to submit their contributions!

News

2024-08: 3DeNet is accepted by Neural Networks.

2024-08: DIECED is accepted by Measurement.

2024-07: GPSFormer is accepted by ECCV.

2024-03: PointGT is accepted by TMM.

2024-01: MV-3DSReID is accepted by TCSVT.

2023-11: EIE is accepted by Neural Networks.

2023-11: LTTPoint is accepted by 2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT).

2023-10: A survey about occluded person Re-ID is accepted by Expert Systems with Applications.

2023-10: PointReIDNet is accepted by TCSVT.

2023-06: CECC is accepted by Displays.

2023-05: A survey about point cloud classfication is accepted by Displays.

2022-04: The chinese journal version of DC-CNN is accepted by Journal of software.

2022-04: SC-CNN are accepted by TGRS.

2021-09: A survey on RGBD semantic segmentation is accepted by Displays.

Publications

* indicates equal contribution. # indication corresponding author.

	Deformation depth decoupling network for point cloud domain adaptation Huang Zhang, Xin Ning, Changshuo Wang, Enhao Ning, Lusi Li Neural Networks, 2024 [paper]
	Destination intention estimation-based convolutional encoder-decoder for pedestrian trajectory multimodality forecast Ruiping Wang, Siew-Kei Lam, Meiqing Wu, Zhijian Hu, Changshuo Wang, Jing Wang Measurement, 2024 [paper]
	GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding Changshuo Wang, Meiqing Wu, Siew-Kei Lam, Xin Ning, Ruiping Wang, Shangshu Yu, Weijun Li, Thambipillai Srikanthan ECCV, 2024 [Code]
	PointGT: A Method for Point-Cloud Classification and Segmentation Based on Local Geometric Transformation Huang Zhang, Changshuo Wang, Long Yu, Shengwei Tian, Xin Ning, Joel Rodrigues IEEE Transactions on Multimedia, 2024 [paper]
	Pedestrian 3D Shape Understanding for Person Re-Identification via Multi-View Learning Zaiyang Yu, Lusi Li, Jinlong Xie, Changshuo Wang, Weijun Li, Xin Ning, IEEE Transactions on Circuits and Systems for Video Technology, 2024 [paper]
	Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning, Neural Networks, 2023 [paper]
	LTTPoint: A MLP-Based Point Cloud Classification Method with Local Topology Transformation Module Limin Jiang, Changshuo Wang#, Xin Ning, Zaiyang Yu 2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT), 2023 [paper]
	Occluded person re-identification with deep learning: A survey and perspectives Enhao Ning, Changshuo Wang, Huang Zhang, Xin Ning, Prayag Tiwari Expert Systems with Applications, 2023 [paper]
	3D Person Re-identification Based on Global Semantic Guidance and Local Feature Aggregation Changshuo Wang, Xin Ning, Weijun Li, Xiao Bai, Xingyu Gao IEEE Transactions on Circuits and Systems for Video Technology, 2023 [paper]
	Pedestrian Re-ID based on Feature Consistency and Contrast Enhancement Enhao Ning, Canlong Zhang, Changshuo Wang, Xin Ning, Hao Chen, Xiao Bai Displays, 2023 [paper]
	Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook Huang Zhang, Changshuo Wang*, Jianchu Lin, Baoli Lu, Liping Zhang, Shengwei Tian, Displays*, 2023 [paper]
	3D Point Cloud Classification Method Based on Dynamic Coverage of Local Area Changshuo Wang, Han Wang, Xin Ning, Shengwei Tian, Weijun Li, Journal of Software , 2022 [paper] [Code]
	Learning Discriminative Features by Covering Local Geometric Space for Point Cloud Analysis (Highly Cited Paper) Changshuo Wang, Xin Ning, Linjun Sun, Liping Zhang, Weijun Li, Xiao Bai IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2022 [paper] [Code]
	A brief survey on RGB-D semantic segmentation using deep learning Changshuo Wang, Chen Wang, Weijun Li, Haining Wang Displays, 2021 [paper]

AI Competitions

2023 COSMOPlat × Extreme Mart "Tianjiao Cup" Industrial Internet Software and Application Challenge - Personnel off-post, leaving post, and boundary crossing detection [Second Place]

ECV2022 Extreme Mart Computer Vision Developer Competition - Passenger flow statistics [Third Place]

ECV2022 Extreme Mart Computer Vision Developer Competition - Smoking detection [Third Place]

Honors and Awards

2023 Outstanding graduate of Beijing

2023 Outstanding graduate, UCAS

2023 Director Scholarship from Institute of Semiconductors, CAS

2022 Chinese National Scholarship

2020&2021&2022 Merit Student from UCAS

2019 Best Service Award from HPBD&IS

2018 Outstanding Graduates of Shandong Province, China

2017 Honourable Metion of MCM/ICM, USA

2016 Second Prize in the 13th “Huawei Cup” National Graduate Mathematical Contest in Modeling

2016 First Prize in the 8th China College Students' Mathematics Competition (Non-Mathematics Major Group)

2016 First Prize in the Shandong Provincial Electronic Design Contest

2015&2016&2017 National Encouragement scholarship from QUST

Academic Services

Conference Reviewer / PC Member: NeurIPS 2024, ICCD2024, ICARCV 2024, HDIS 2023 PC Member and Reviewer, ICCD 2023, HDIS 2022, HPBD&IS 2019-2021, etc.

Journal Reviewer: TCSVT, Pattern recognition, Knowledge-Based Systems, Information Fusion, Neural networks, Neurocomputing, IET Computer Vision, IEEE Fuzy, Signal processing, etc.

A brief cv.