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ORCIDZexi Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2025
[j11]Hongwei Chen, Jianpeng Wang, Zexi Chen:
Multi-scale spatiotemporal topology unveiled: enhancing skeleton-based action recognition. J. Supercomput. 81(1): 10 (2025)- [j10]Hongwei Chen, Hui Han, Yifan Chen, Zexi Chen, Rong Gao, Xia Li:
A traffic speed prediction algorithm for dynamic spatio-temporal graph convolutional networks based on attention mechanism. J. Supercomput. 81(1): 18 (2025) - 2024
- [j9]Hongwei Chen, Shiqi He, Zexi Chen:
DSTC-Net: differential spatio-temporal correlation network for similar action recognition. Multim. Syst. 30(3): 153 (2024) - [c29]Jinquan Yang, Zexi Chen, Orest Kochan, Olha Fedchyshyn:
FKD-YOLO: a Lightweight Student Classroom Behavior Recognition Algorithm. ACIT 2024: 729-734 - [c28]Xizhi Deng, Siwei Wei, Zexi Chen, Serhii Mokhun:
RUCARDAS: Retinex-Inspired Unrolling with Channel Attention Residual Dense Cooperative Prior Architecture Search for Low-Light Image Enhancement. ACIT 2024: 790-795 - [c27]Zuhua Li, Siwei Wei, Zexi Chen, Lei Yu, Beier Luo, Haibo Wang:
Traffic Flow Prediction Model Based on Gated Temporal Attention and Down-Sampling Convolutional Network. ACIT 2024: 802-808 - [c26]Hongwei Chen, Luanxuan Liu, Zexi Chen, Xia Li:
Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation. ICANN (9) 2024: 121-135 - [c25]Xiaolang Lin
, Zexi Chen, Jinsheng Liu, Yan Li:
Optimization of node voltage stability of flexible DC transmission network based on genetic simulated annealing algorithm. PEAI 2024: 213-218 - [i25]Lingxi Xiao, Muqing Li, Yinqiu Feng, Meiqi Wang, Ziyi Zhu, Zexi Chen:
Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data. CoRR abs/2406.00016 (2024) - [i24]Lingxi Xiao, Jinxin Hu, Yutian Yang, Yinqiu Feng, Zichao Li, Zexi Chen:
Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning. CoRR abs/2406.16981 (2024) - [i23]Yang Lin, Muqing Li, Ziyi Zhu, Yinqiu Feng, Lingxi Xiao, Zexi Chen:
Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology. CoRR abs/2406.16982 (2024) - [i22]Yinqiu Feng, Bo Zhang, Lingxi Xiao, Yutian Yang, Gegen Tana, Zexi Chen:
Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data. CoRR abs/2406.18547 (2024) - [i21]Shi Bo, Yuwei Zhang, Junming Huang, Sitong Liu, Zexi Chen, Zizheng Li:
Attention Mechanism and Context Modeling System for Text Mining Machine Translation. CoRR abs/2408.04216 (2024) - 2023
- [j8]Zexi Chen, Yiyi Liao, Haozhe Du, Haodong Zhang, Xuecheng Xu, Haojian Lu, Rong Xiong, Yue Wang:
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14366-14384 (2023) - [j7]Zexi Chen, Yunhe Zhang, Sheng Huang, Yanfang Liu, William Zhu, Shiping Wang:
Multiview Deep Matrix Factorization for Shared Compact Representation. IEEE Trans. Comput. Soc. Syst. 10(5): 2739-2751 (2023) - [i20]Luke Friedman, Sameer Ahuja, David Allen, Zhenning Tan, Hakim Sidahmed, Changbo Long, Jun Xie, Gabriel Schubiner, Ajay Patel, Harsh Lara, Brian Chu, Zexi Chen, Manoj Tiwari:
Leveraging Large Language Models in Conversational Recommender Systems. CoRR abs/2305.07961 (2023) - 2022
- [j6]Zexi Chen, Pengfei Lin, Zhaoliang Chen, Dongyi Ye, Shiping Wang:
Diversity embedding deep matrix factorization for multi-view clustering. Inf. Sci. 610: 114-125 (2022) - [j5]Haodong Zhang, Weijie Li, Jiangpin Liu, Zexi Chen, Yuxiang Cui, Yue Wang, Rong Xiong:
Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language. IEEE Robotics Autom. Lett. 7(2): 4582-4589 (2022) - [j4]Zexi Chen, Ting Wang, Haibin Cai, Subrota Kumar Mondal, Jyoti Prakash Sahoo:
BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting. IEEE Trans. Parallel Distributed Syst. 33(11): 3141-3152 (2022) - [c24]Zexi Chen, Haozhe Du, Xuecheng Xu, Rong Xiong, Yiyi Liao, Yue Wang:
Learning Interpretable BEV Based VIO without Deep Neural Networks. CoRL 2022: 1289-1298 - [c23]Krishna Karthik Gadiraju, Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Real-Time Change Detection At the Edge. ICMLA 2022: 776-781 - [c22]Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang:
Domain Generalization for Vision-based Driving Trajectory Generation. ICRA 2022: 8950-8956 - [c21]Sha Lu, Xuecheng Xu, Huan Yin, Zexi Chen, Rong Xiong, Yue Wang:
One RING to Rule Them All: Radon Sinogram for Place Recognition, Orientation and Translation Estimation. IROS 2022: 2778-2785 - [c20]Xianze Fang, Yunkai Wang, Zexi Chen, Yue Wang, Rong Xiong:
Depth-Independent Depth Completion via Least Square Estimation. ROBIO 2022: 748-754 - [i19]Xianze Fang, Zexi Chen, Yunkai Wang, Yue Wang, Rong Xiong:
Least Square Estimation Network for Depth Completion. CoRR abs/2203.03317 (2022) - [i18]Zexi Chen, Yiyi Liao, Haozhe Du, Haodong Zhang, Xuecheng Xu, Haojian Lu, Rong Xiong, Yue Wang:
DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration. CoRR abs/2206.05707 (2022) - 2021
- [j3]Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Huang Huang, Yue Wang, Rong Xiong:
PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation. IEEE Robotics Autom. Lett. 6(2): 2209-2216 (2021) - [j2]Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yuehua Li, Yue Wang, Rong Xiong:
Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory. IEEE Robotics Autom. Lett. 6(2): 2477-2484 (2021) - [j1]Xuecheng Xu, Huan Yin, Zexi Chen, Yuehua Li, Yue Wang, Rong Xiong:
DiSCO: Differentiable Scan Context With Orientation. IEEE Robotics Autom. Lett. 6(2): 2791-2798 (2021) - [c19]Yuan Zhu, Liwei Kuang, Zexi Chen:
Siamese ELECTRA Network Combined with BERT for Semantic Similarity. ICCSE 2021: 481-485 - [c18]Zhongxiang Zhou, Rong Xiong, Zexi Chen, Yue Wang:
Assembly Sequence Generation for New Objects via Experience Learned from Similar Object. IROS 2021: 1054-1061 - [c17]Zexi Chen, Zheyuan Huang, Hongxiang Yu, Zhongxiang Zhou, Yunkai Wang, Xuecheng Xu, Qimeng Tan, Yue Wang, Rong Xiong:
Learn to Differ: Sim2Real Small Defection Segmentation Network. IROS 2021: 1070-1077 - [c16]Hongxiang Yu, Dashun Guo, Huan Yin, Anzhe Chen, Kechun Xu, Zexi Chen, Minhang Wang, Qimeng Tan, Yue Wang, Rong Xiong:
Neural Motion Prediction for In-flight Uneven Object Catching. IROS 2021: 4662-4669 - [c15]Yunshuang Li, Zheyuan Huang, Zexi Chen, Yue Wang, Rong Xiong:
Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN. RCAR 2021: 245-250 - [c14]Zhike Chen, Zhiye He, Haozhe Du, Chengrui Han, Yunkai Wang, Zexi Chen, Rong Xiong:
Multi-Stage Decision-Making Skill Learning for Soccer Robot. RCAR 2021: 608-613 - [i17]Yunshuang Li, Zheyuan Huang, Zexi Chen, Yue Wang, Rong Xiong:
Collaborative Recognition of Feasible region with Aerial and Ground Robots through DPCN. CoRR abs/2103.00947 (2021) - [i16]Zexi Chen, Zheyuan Huang, Yunkai Wang, Xuecheng Xu, Yue Wang, Rong Xiong:
Learn to Differ: Sim2Real Small Defection Segmentation Network. CoRR abs/2103.04297 (2021) - [i15]Haodong Zhang, Weijie Li, Yuwei Liang, Zexi Chen, Yuxiang Cui, Yue Wang, Rong Xiong:
Human-Robot Motion Retargeting via Neural Latent Optimization. CoRR abs/2103.08882 (2021) - [i14]Zexi Chen, Haozhe Du, Yiyi Liao, Yue Wang, Rong Xiong:
Fully Differentiable and Interpretable Model for VIO with 4 Trainable Parameters. CoRR abs/2109.12292 (2021) - [i13]Yunkai Wang, Dongkun Zhang, Yuxiang Cui, Zexi Chen, Wei Jing, Junbo Chen, Rong Xiong, Yue Wang:
Domain Generalization for Vision-based Driving Trajectory Generation. CoRR abs/2109.13858 (2021) - 2020
- [c13]Zexi Chen, Xuecheng Xu, Yue Wang, Rong Xiong:
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching. CoRL 2020: 2359-2375 - [c12]Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Local Clustering with Mean Teacher for Semi-supervised learning. ICPR 2020: 6243-6250 - [c11]Krishna Karthik Gadiraju, Bharathkumar Ramachandra, Zexi Chen, Ranga Raju Vatsavai:
Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. KDD 2020: 3234-3242 - [c10]Xuecheng Xu, Zexi Chen, Jiaxin Guo, Yue Wang, Yunkai Wang, Rong Xiong:
Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map. RCAR 2020: 122-127 - [i12]Zexi Chen, Benjamin Dutton, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Local Clustering with Mean Teacher for Semi-supervised Learning. CoRR abs/2004.09665 (2020) - [i11]Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. CoRR abs/2007.03844 (2020) - [i10]Zexi Chen, Xuecheng Xu, Yue Wang, Yunkai Wang, Rong Xiong:
Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map. CoRR abs/2007.11233 (2020) - [i9]Zexi Chen, Xuecheng Xu, Yue Wang, Rong Xiong:
Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching. CoRR abs/2008.09474 (2020) - [i8]Yunkai Wang, Dongkun Zhang, Jingke Wang, Zexi Chen, Yue Wang, Rong Xiong:
Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory. CoRR abs/2010.10393 (2020) - [i7]Xuecheng Xu, Huan Yin, Zexi Chen, Yue Wang, Rong Xiong:
DiSCO: Differentiable Scan Context with Orientation. CoRR abs/2010.10949 (2020) - [i6]Zexi Chen, Jiaxin Guo, Xuecheng Xu, Yunkai Wang, Yue Wang, Rong Xiong:
Pose Randomization for Weakly Paired Image Style Translation. CoRR abs/2011.00301 (2020)
2010 – 2019
- 2019
- [c9]Ranga Raju Vatsavai, Bharathkumar Ramachandra, Zexi Chen, John Jernigan:
geoEdge: a real-time analytics framework for geospatial applications. BigSpatial@SIGSPATIAL 2019: 2:1-2:4 - [c8]Zheyuan Huang, Yunkai Wang, Lingyun Chen, Jiacheng Li, Zexi Chen, Rong Xiong:
Mechatronic Design of a Dribbling System for RoboCup Small Size Robot. RCAR 2019: 685-689 - [c7]Yunkai Wang, Shenhan Jia, Zexi Chen, Zheyuan Huang, Rong Xiong:
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation. ROBIO 2019: 1158-1165 - [c6]Zexi Chen, Haodong Zhang, Dashun Guo, Shenhan Jia, Xianze Fang, Zheyuan Huang, Yunkai Wang, Peng Hu, Licheng Wen, Lingyun Chen, Zhengxi Li, Rong Xiong:
Champion Team Paper: Dynamic Passing-Shooting Algorithm of the RoboCup Soccer SSL 2019 Champion. RoboCup 2019: 479-490 - [i5]Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong:
ZJUNlict Extended Team Description Paper for RoboCup 2019. CoRR abs/1905.09157 (2019) - [i4]Zheyuan Huang, Yunkai Wang, Lingyun Chen, Jiacheng Li, Zexi Chen, Rong Xiong:
Mechatronic Design of a Dribbling System for RoboCup Small Size Robot. CoRR abs/1905.09934 (2019) - [i3]Zexi Chen, Haodong Zhang, Dashun Guo, Shenhan Jia, Xianze Fang, Zheyuan Huang, Yunkai Wang, Peng Hu, Licheng Wen, Lingyun Chen, Zhengxi Li, Rong Xiong:
Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion. CoRR abs/1909.07717 (2019) - [i2]Yunkai Wang, Shenhan Jia, Zexi Chen, Zheyuan Huang, Rong Xiong:
Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation. CoRR abs/1909.13794 (2019) - 2018
- [c5]Lamei Zhang, Zexi Chen, Bin Zou, Ye Gao:
Polarimetric SAR Terrain Classification Using 3D Convolutional Neural Network. IGARSS 2018: 4551-4554 - [c4]Zheyuan Huang, Lingyun Chen, Jiacheng Li, Yunkai Wang, Zexi Chen, Licheng Wen, Jianyang Gu, Peng Hu, Rong Xiong:
RoboCup SSL 2018 Champion Team Paper. RoboCup 2018: 401-412 - [i1]Zexi Chen, Bharathkumar Ramachandra, Tianfu Wu, Ranga Raju Vatsavai:
Relational Long Short-Term Memory for Video Action Recognition. CoRR abs/1811.07059 (2018) - 2017
- [c3]Zexi Chen, Miguel Rodrigo, Alejandro Liberos, Ismael Hernández-Romero, Jesus Requena, Andreu M. Climent, María de la Salud Guillem Sánchez:
Evaluation of Inverse Problem with Slow-Conducting Channel in Scar Area in a Post-Infarction Model. CinC 2017 - [c2]Zexi Chen, Bharathkumar Ramachandra, Ranga Raju Vatsavai:
Hierarchical change detection framework for biomass monitoring. IGARSS 2017: 620-623 - 2016
- [c1]Zexi Chen, Ranga Raju Vatsavai, Bharathkumar Ramachandra, Qiang Zhang, Nagendra Singh, Sreenivas R. Sukumar:
Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. IEEE BigData 2016: 1309-1314
Coauthor Index
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