Scalable nearest neighbor based hierarchical change detection framework for crop monitoring. - Zexi Chen; Ranga Raju Vatsavai; Bharathkumar Ramachandra; Qiang Zhang; Nagendra Singh; Sreenivas R. Sukumar 001 (IEEE BigData, 2016)

Evaluation of Inverse Problem with Slow-Conducting Channel in Scar Area in a Post-Infarction Model. - Zexi Chen; Miguel Rodrigo; Alejandro Liberos; Ismael Hernández-Romero; Jesus Requena; Andreu M. Climent; María de la Salud Guillem Sánchez (CinC, 2017)

Hierarchical change detection framework for biomass monitoring. - Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (IGARSS, 2017)

Polarimetric SAR Terrain Classification Using 3D Convolutional Neural Network. - Lamei Zhang; Zexi Chen; Bin Zou 001; Ye Gao (IGARSS, 2018)

RoboCup SSL 2018 Champion Team Paper. - Zheyuan Huang; Lingyun Chen; Jiacheng Li; Yunkai Wang; Zexi Chen; Licheng Wen; Jianyang Gu; Peng Hu; Rong Xiong (RoboCup, 2018)

Relational Long Short-Term Memory for Video Action Recognition. - Zexi Chen; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (CoRR, 2018)

geoEdge: a real-time analytics framework for geospatial applications. - Ranga Raju Vatsavai; Bharathkumar Ramachandra; Zexi Chen; John Jernigan (BigSpatial@SIGSPATIAL, 2019)

Mechatronic Design of a Dribbling System for RoboCup Small Size Robot. - Zheyuan Huang; Yunkai Wang; Lingyun Chen; Jiacheng Li; Zexi Chen; Rong Xiong (RCAR, 2019)

Multi-agent Collaboration for Feasible Collaborative Behavior Construction and Evaluation. - Yunkai Wang; Shenhan Jia; Zexi Chen; Zheyuan Huang; Rong Xiong (ROBIO, 2019)

Champion Team Paper: Dynamic Passing-Shooting Algorithm of the RoboCup Soccer SSL 2019 Champion. - Zexi Chen; Haodong Zhang; Dashun Guo; Shenhan Jia; Xianze Fang; Zheyuan Huang; Yunkai Wang; Peng Hu; Licheng Wen; Lingyun Chen; Zhengxi Li; Rong Xiong (RoboCup, 2019)

ZJUNlict Extended Team Description Paper for RoboCup 2019. - Zheyuan Huang; Lingyun Chen; Jiacheng Li; Yunkai Wang; Zexi Chen; Licheng Wen; Jianyang Gu; Peng Hu; Rong Xiong (CoRR, 2019)

Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion. - Zexi Chen; Haodong Zhang; Dashun Guo; Shenhan Jia; Xianze Fang; Zheyuan Huang; Yunkai Wang; Peng Hu; Licheng Wen; Lingyun Chen; Zhengxi Li; Rong Xiong (CoRR, 2019)

Deep Phase Correlation for End-to-End Heterogeneous Sensor Measurements Matching. - Zexi Chen; Xuecheng Xu; Yue Wang 020; Rong Xiong (CoRL, 2020)

Local Clustering with Mean Teacher for Semi-supervised learning. - Zexi Chen; Benjamin Dutton; Bharathkumar Ramachandra; Tianfu Wu 001; Ranga Raju Vatsavai (ICPR, 2020)

Multimodal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery. - Krishna Karthik Gadiraju; Bharathkumar Ramachandra; Zexi Chen; Ranga Raju Vatsavai (KDD, 2020)

Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map. - Xuecheng Xu; Zexi Chen; Jiaxin Guo; Yue Wang 020; Yunkai Wang; Rong Xiong (RCAR, 2020)

Consistency Regularization with Generative Adversarial Networks for Semi-Supervised Image Classification. - Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (CoRR, 2020)

Collaborative Localization of Aerial and Ground Mobile Robots through Orthomosaic Map. - Zexi Chen; Xuecheng Xu; Yue Wang 020; Yunkai Wang; Rong Xiong (CoRR, 2020)

Imitation Learning of Hierarchical Driving Model: from Continuous Intention to Continuous Trajectory. - Yunkai Wang; Dongkun Zhang; Jingke Wang; Zexi Chen; Yue Wang 020; Rong Xiong (CoRR, 2020)

DiSCO: Differentiable Scan Context with Orientation. - Xuecheng Xu; Huan Yin; Zexi Chen; Yue Wang 020; Rong Xiong (CoRR, 2020)

Pose Randomization for Weakly Paired Image Style Translation. - Zexi Chen; Jiaxin Guo; Xuecheng Xu; Yunkai Wang; Yue Wang 020; Rong Xiong (CoRR, 2020)

Siamese ELECTRA Network Combined with BERT for Semantic Similarity. - Yuan Zhu; Liwei Kuang; Zexi Chen (ICCSE, 2021)

Learn to Differ: Sim2Real Small Defection Segmentation Network. - Zexi Chen; Zheyuan Huang; Hongxiang Yu; Zhongxiang Zhou; Yunkai Wang; Xuecheng Xu; Qimeng Tan; Yue Wang 020; Rong Xiong (IROS, 2021)

Neural Motion Prediction for In-flight Uneven Object Catching. - Hongxiang Yu; Dashun Guo; Huan Yin; Anzhe Chen; Kechun Xu; Zexi Chen; Minhang Wang; Qimeng Tan; Yue Wang 020; Rong Xiong (IROS, 2021)

Assembly Sequence Generation for New Objects via Experience Learned from Similar Object. - Zhongxiang Zhou; Rong Xiong; Zexi Chen; Yue Wang 020 (IROS, 2021)

Multi-Stage Decision-Making Skill Learning for Soccer Robot. - Zhike Chen; Zhiye He; Haozhe Du; Chengrui Han; Yunkai Wang; Zexi Chen; Rong Xiong (RCAR, 2021)

Collaborative Recognition of Feasible Region with Aerial and Ground Robots through DPCN. - Yunshuang Li; Zheyuan Huang; Zexi Chen; Yue Wang 020; Rong Xiong (RCAR, 2021)

Learn to Differ: Sim2Real Small Defection Segmentation Network. - Zexi Chen; Zheyuan Huang; Yunkai Wang; Xuecheng Xu; Yue Wang 020; Rong Xiong (CoRR, 2021)

Human-Robot Motion Retargeting via Neural Latent Optimization. - Haodong Zhang; Weijie Li; Yuwei Liang; Zexi Chen; Yuxiang Cui; Yue Wang 020; Rong Xiong (CoRR, 2021)

Fully Differentiable and Interpretable Model for VIO with 4 Trainable Parameters. - Zexi Chen; Haozhe Du; Yiyi Liao; Yue Wang 020; Rong Xiong (CoRR, 2021)

PREGAN: Pose Randomization and Estimation for Weakly Paired Image Style Translation. - Zexi Chen; Jiaxin Guo; Xuecheng Xu; Yunkai Wang; Huang Huang; Yue Wang 020; Rong Xiong (IEEE Robotics Autom. Lett., 2021)

Imitation Learning of Hierarchical Driving Model: From Continuous Intention to Continuous Trajectory. - Yunkai Wang; Dongkun Zhang; Jingke Wang; Zexi Chen; Yuehua Li; Yue Wang 020; Rong Xiong (IEEE Robotics Autom. Lett., 2021)

DiSCO: Differentiable Scan Context With Orientation. - Xuecheng Xu; Huan Yin; Zexi Chen; Yuehua Li; Yue Wang 020; Rong Xiong (IEEE Robotics Autom. Lett., 2021)

Learning Interpretable BEV Based VIO without Deep Neural Networks. - Zexi Chen; Haozhe Du; Xuecheng Xu; Rong Xiong; Yiyi Liao; Yue Wang 020 (CoRL, 2022)

Real-Time Change Detection At the Edge. - Krishna Karthik Gadiraju; Zexi Chen; Bharathkumar Ramachandra; Ranga Raju Vatsavai (ICMLA, 2022)

Domain Generalization for Vision-based Driving Trajectory Generation. - Yunkai Wang; Dongkun Zhang; Yuxiang Cui; Zexi Chen; Wei Jing; Junbo Chen; Rong Xiong; Yue Wang 020 (ICRA, 2022)

One RING to Rule Them All: Radon Sinogram for Place Recognition, Orientation and Translation Estimation. - Sha Lu; Xuecheng Xu; Huan Yin; Zexi Chen; Rong Xiong; Yue Wang 020 (IROS, 2022)

Depth-Independent Depth Completion via Least Square Estimation. - Xianze Fang; Yunkai Wang; Zexi Chen; Yue Wang 020; Rong Xiong (ROBIO, 2022)

Least Square Estimation Network for Depth Completion. - Xianze Fang; Zexi Chen; Yunkai Wang; Yue Wang 020; Rong Xiong (CoRR, 2022)

Diversity embedding deep matrix factorization for multi-view clustering. - Zexi Chen; Pengfei Lin; Zhaoliang Chen; Dongyi Ye; Shiping Wang (Inf. Sci., 2022)

Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language. - Haodong Zhang; Weijie Li; Jiangpin Liu; Zexi Chen; Yuxiang Cui; Yue Wang 020; Rong Xiong (IEEE Robotics Autom. Lett., 2022)

BLB-gcForest: A High-Performance Distributed Deep Forest With Adaptive Sub-Forest Splitting. - Zexi Chen; Ting Wang 001; Haibin Cai; Subrota Kumar Mondal; Jyoti Prakash Sahoo (IEEE Trans. Parallel Distributed Syst., 2022)

Leveraging Large Language Models in Conversational Recommender Systems. - Luke Friedman; Sameer Ahuja; David Allen; Zhenning Tan; Hakim Sidahmed; Changbo Long; Jun Xie; Gabriel Schubiner; Ajay Patel; Harsh Lara; Brian Chu; Zexi Chen; et al. (CoRR, 2023)

Multiview Deep Matrix Factorization for Shared Compact Representation. - Zexi Chen; Yunhe Zhang 001; Sheng Huang; Yanfang Liu; William Zhu 001; Shiping Wang (IEEE Trans. Comput. Soc. Syst., 2023)

DPCN++: Differentiable Phase Correlation Network for Versatile Pose Registration. - Zexi Chen; Yiyi Liao; Haozhe Du; Haodong Zhang; Xuecheng Xu; Haojian Lu; Rong Xiong; Yue Wang 020 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

RUCARDAS: Retinex-Inspired Unrolling with Channel Attention Residual Dense Cooperative Prior Architecture Search for Low-Light Image Enhancement. - Xizhi Deng; Siwei Wei; Zexi Chen; Serhii Mokhun (ACIT, 2024)

Traffic Flow Prediction Model Based on Gated Temporal Attention and Down-Sampling Convolutional Network. - Zuhua Li; Siwei Wei; Zexi Chen; Lei Yu; Beier Luo; Haibo Wang (ACIT, 2024)

FKD-YOLO: a Lightweight Student Classroom Behavior Recognition Algorithm. - Jinquan Yang; Zexi Chen; Orest Kochan; Olha Fedchyshyn (ACIT, 2024)

Time-Aware Squeeze-Excitation Transformer for Sequential Recommendation. - Hongwei Chen; Luanxuan Liu; Zexi Chen; Xia Li (ICANN (9), 2024)

Optimization of node voltage stability of flexible DC transmission network based on genetic simulated annealing algorithm. - Xiaolang Lin; Zexi Chen; Jinsheng Liu; Yan Li (PEAI, 2024)

Exploration of Attention Mechanism-Enhanced Deep Learning Models in the Mining of Medical Textual Data. - Lingxi Xiao; Muqing Li; Yinqiu Feng; Meiqi Wang; Ziyi Zhu; Zexi Chen (CoRR, 2024)

Research on Feature Extraction Data Processing System For MRI of Brain Diseases Based on Computer Deep Learning. - Lingxi Xiao; Jinxin Hu; Yutian Yang; Yinqiu Feng; Zichao Li; Zexi Chen (CoRR, 2024)

Research on Disease Prediction Model Construction Based on Computer AI deep Learning Technology. - Yang Lin; Muqing Li; Ziyi Zhu; Yinqiu Feng; Lingxi Xiao; Zexi Chen (CoRR, 2024)

Enhancing Medical Imaging with GANs Synthesizing Realistic Images from Limited Data. - Yinqiu Feng; Bo Zhang; Lingxi Xiao; Yutian Yang; Gegen Tana; Zexi Chen (CoRR, 2024)

Attention Mechanism and Context Modeling System for Text Mining Machine Translation. - Shi Bo; Yuwei Zhang; Junming Huang 003; Sitong Liu; Zexi Chen; Zizheng Li (CoRR, 2024)

DSTC-Net: differential spatio-temporal correlation network for similar action recognition. - Hongwei Chen; Shiqi He; Zexi Chen (Multim. Syst., 2024)

MKTZ: multi-semantic embedding and key frame masking techniques for zero-shot skeleton action recognition. - Hongwei Chen; Sheng Guo; Zexi Chen (Multim. Syst., 2024)

TLSTSRec: Time-aware long short-term attention neural network for sequential recommendation. - Hongwei Chen; Luanxuan Liu; Zexi Chen (Intell. Data Anal., 2025)

Fault identification of rolling bearing based on improved salp swarm algorithm. - Hongwei Chen; Man Zhang; Fangrui Liu; Zexi Chen (Intell. Data Anal., 2025)

A traffic speed prediction algorithm for dynamic spatio-temporal graph convolutional networks based on attention mechanism. - Hongwei Chen; Hui Han; Yifan Chen; Zexi Chen; Rong Gao; Xia Li (J. Supercomput., 2025)

Multi-scale spatiotemporal topology unveiled: enhancing skeleton-based action recognition. - Hongwei Chen; Jianpeng Wang; Zexi Chen (J. Supercomput., 2025)

Temporal Knowledge Graph Reasoning Based on Dynamic Fusion Representation Learning. - Hongwei Chen; Man Zhang; Zexi Chen (Expert Syst. J. Knowl. Eng., 2025)

RE-STNet: relational enhancement spatio-temporal networks based on skeleton action recognition. - Hongwei Chen; Shiqi He; Zexi Chen (Multim. Tools Appl., 2025)

Deep random walk inspired multi-view graph convolutional networks for semi-supervised classification. - Zexi Chen; Weibin Chen; Jie Yao; Jinbo Li; Shiping Wang (Appl. Intell., 2025)

Can Multi-modal (reasoning) LLMs detect document manipulation? - Zisheng Liang; Kidus Zewde; Rudra Pratap Singh; Disha Patil; Zexi Chen; Jiayu Xue; Yao Yao; Yifei Chen; Qinzhe Liu; Simiao Ren (CoRR, 2025)