In defense of iterated conditional mode for hyperspectral image classification. - Jianzhe Lin; Qi Wang 009; Yuan Yuan 001 (ICME, 2014)

Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization. - Yuan Yuan 001; Jianzhe Lin; Qi Wang 009 (IEEE Trans. Cybern., 2016)

Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis. - Yuan Yuan 001; Jianzhe Lin; Qi Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2016)

Salient Band Selection for Hyperspectral Image Classification via Manifold Ranking. - Qi Wang 009; Jianzhe Lin; Yuan Yuan 001 (IEEE Trans. Neural Networks Learn. Syst., 2016)

Structure Preserving Transfer Learning for Unsupervised Hyperspectral Image Classification. - Jianzhe Lin; Chen He 002; Z. Jane Wang 001; Shuying Li (IEEE Geosci. Remote. Sens. Lett., 2017)

Deep Transfer Learning for Hyperspectral Image Classification. - Jianzhe Lin; Rabab Ward; Z. Jane Wang 001 (MMSP, 2018)

DT-LET: Deep Transfer Learning by Exploring where to Transfer. - Jianzhe Lin; Qi Wang 001; Rabab Ward; Z. Jane Wang 001 (CoRR, 2018)

Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification. - Jianzhe Lin; Liang Zhao 005; Shuying Li; Rabab K. Ward; Z. Jane Wang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Dense-Residual Attention Network for Skin Lesion Segmentation. - Lei Song 003; Jianzhe Lin; Z. Jane Wang 001; Haoqian Wang (MLMI@MICCAI, 2019)

A Coarse-to-Fine Optimization for Hyperspectral Band Selection. - Xuefeng Jiang; Jianzhe Lin; Junrui Liu; Shuying Li; Yanning Zhang 001 (IEEE Geosci. Remote. Sens. Lett., 2019)

Cycle Ynet: Semi-supervised Tracking of 3D Anatomical Landmarks. - Jianzhe Lin; Yue Zhang 036; Abdoul-aziz Amadou; Ingmar Voigt; Tommaso Mansi; Rui Liao (MLMI@MICCAI, 2020)

Dual Adversarial Network for Unsupervised Ground/Satellite-to-Aerial Scene Adaptation. - Jianzhe Lin; Lichao Mou; Tianze Yu; Xiaoxiang Zhu 001; Z. Jane Wang 001 (ACM Multimedia, 2020)

Hyperspectral Image Classification With CapsNet and Markov Random Fields. - Xuefeng Jiang; Yue Zhang 036; Wenbo Liu 005; Junyu Gao 001; Junrui Liu; Yanning Zhang 001; Jianzhe Lin (IEEE Access, 2020)

Xnet: Task-specific attentional domain adaptation for satellite-to-aerial scene. - Jianzhe Lin; Kaiwen Yuan; Rabab Ward; Zhen Jane Wang 001 (Neurocomputing, 2020)

DT-LET: Deep transfer learning by exploring where to transfer. - Jianzhe Lin; Liang Zhao 005; Qi Wang 009; Rabab Ward; Z. Jane Wang 001 (Neurocomputing, 2020)

An End-to-End Multi-Task Deep Learning Framework for Skin Lesion Analysis. - Lei Song 003; Jianzhe Lin; Z. Jane Wang 001; Haoqian Wang (IEEE J. Biomed. Health Informatics, 2020)

ERA: Entity-relationship Aware Video Summarization with Wasserstein GAN. - Guande Wu; Jianzhe Peter Lin; Cláudio T. Silva (BMVC, 2021)

Reciprocal Landmark Detection and Tracking With Extremely Few Annotations. - Jianzhe Lin; Ghazal Sahebzamani; Christina Luong 001; Fatemeh Taheri Dezaki; Mohammad H. Jafari 001; Purang Abolmaesumi; Teresa Tsang (CVPR, 2021)

ShuffleCount: Task-Specific Knowledge Distillation for Crowd Counting. - Minyang Jiang; Jianzhe Lin; Z. Jane Wang 001 (ICIP, 2021)

NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences. - Diwei Sheng; Yuxiang Chai; Xinru Li; Chen Feng 002; Jianzhe Lin; Cláudio T. Silva; John-Ross Rizzo (IROS, 2021)

Aerial Scene Understanding in The Wild: Multi-Scene Recognition via Prototype-based Memory Networks. - Yuansheng Hua; Lichao Mou; Jianzhe Lin; Konrad Heidler; Xiao Xiang Zhu 001 (CoRR, 2021)

Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification. - Jianzhe Lin; Tianze Yu; Z. Jane Wang 001 (CoRR, 2021)

IntentVizor: Towards Generic Query Guided Interactive Video Summarization Using Slow-Fast Graph Convolutional Networks. - Guande Wu; Jianzhe Lin; Cláudio T. Silva (CoRR, 2021)

Guest editorial: Graph learning for computer vision. - Qi Wang 009; Hongkai Yu; Song Wang 002; Jianzhe Lin (IET Comput. Vis., 2021)

Crowd understanding and analysis. - Qi Wang 009; Bo Liu 006; Jianzhe Lin (IET Image Process., 2021)

A smartly simple way for joint crowd counting and localization. - Minyang Jiang; Jianzhe Lin; Zhen Jane Wang 001 (Neurocomputing, 2021)

Spectral-Spatial Hyperspectral Image Classification Using Dual-Channel Capsule Networks. - Xuefeng Jiang; Wenbo Liu 005; Yue Zhang 036; Junrui Liu; Shuying Li; Jianzhe Lin (IEEE Geosci. Remote. Sens. Lett., 2021)

Discriminative feature alignment: Improving transferability of unsupervised domain adaptation by Gaussian-guided latent alignment. - Jing Wang 112; Jiahong Chen; Jianzhe Lin; Leonid Sigal; Clarence W. de Silva (Pattern Recognit., 2021)

Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification. - Jianzhe Lin; Lichao Mou; Xiao Xiang Zhu 001; Xiangyang Ji; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

Unifying Top-Down Views by Task-Specific Domain Adaptation. - Jianzhe Lin; Tianze Yu; Lichao Mou; Xiaoxiang Zhu 001; Rabab Kreidieh Ward; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2021)

IntentVizor: Towards Generic Query Guided Interactive Video Summarization. - Guande Wu; Jianzhe Lin; Cláudio T. Silva (CVPR, 2022)

CitySurfaces: City-Scale Semantic Segmentation of Sidewalk Materials. - Maryam Hosseini; Fabio Miranda 001; Jianzhe Lin; Cláudio T. Silva (CoRR, 2022)

Multilabel Aerial Image Classification With a Concept Attention Graph Neural Network. - Dan Lin 008; Jianzhe Lin; Liang Zhao 005; Z. Jane Wang 001; Zhikui Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Multilabel Aerial Image Classification With Unsupervised Domain Adaptation. - Dan Lin 008; Jianzhe Lin; Liang Zhao 005; Zhen Wang 029; Zhikui Chen (IEEE Trans. Geosci. Remote. Sens., 2022)

Rethinking Crowdsourcing Annotation: Partial Annotation With Salient Labels for Multilabel Aerial Image Classification. - Jianzhe Lin; Tianze Yu; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

SCIDA: Self-Correction Integrated Domain Adaptation From Single- to Multi-Label Aerial Images. - Tianze Yu; Jianzhe Lin; Lichao Mou; Yuansheng Hua; Xiaoxiang Zhu 001; Z. Jane Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Spatiotemporal-Memory-Guided Machine Perception for Augmented Reality. - Jianzhe Lin; Shaoyu Chen; Bea Steers; Huy T. Vo; Cláudio T. Silva; Qi Sun 003 (VR Workshops, 2023)

BatchPrompt: Accomplish more with less. - Jianzhe Lin; Maurice Diesendruck; Liang Du; Robin Abraham (ICLR, 2024)

Multi-User Chat Assistant (MUCA): a Framework Using LLMs to Facilitate Group Conversations. - Manqing Mao; Paishun Ting; Yijian Xiang; Mingyang Xu; Julia Chen; Jianzhe Lin (CoRR, 2024)

Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models. - Maurice Diesendruck; Jianzhe Lin; Shima Imani; Gayathri Mahalingam; Mingyang Xu; Jie Zhao (CoRR, 2024)