Deep CNN-Based Methods to Evaluate Neighborhood-Scale Urban Valuation Through Street Scenes Perception. - Junhan Zhao; Xiang Liu 016; Yanqun Kuang; Yingjie Victor Chen; Baijian Yang 001 (DSC, 2018)

Phoenixmap: Spatio-Temporal Distribution Analysis With Deep Learning Classifications. - Junhan Zhao; Xiang Liu 016; Ryan Guan; Josephine Zhang; Baijian Yang 001; Zhenyu Cheryl Qian; Yingjie Victor Chen (VAST, 2018)

CareerVis: Hierarchical Visualization of Career Pathway Data. - Mingran Li; Wenjie Wu; Junhan Zhao; Keyuan Zhou; David Perkis; Timothy N. Bond; Kevin J. Mumford; David Hummels; Yingjie Victor Chen (IEEE Computer Graphics and Applications, 2018)

Memorizing All for Implicit Discourse Relation Recognition. - Hongxiao Bai; Hai Zhao; Junhan Zhao (CoRR, 2019)

ProtoViewer: Visual Interpretation and Diagnostics of Deep Neural Networks with Factorized Prototypes. - Junhan Zhao; Zeng Dai; Panpan Xu; Liu Ren (IEEE VIS (Short Papers), 2020)

Click or not: different mouseover effects may affect clicking-through rate while browsing interactive information visualization. - Keyuan Zhou; Wenjie Wu; Junhan Zhao; Mingran Li; Zhenyu Cheryl Qian; Yingjie Victor Chen (J. Vis., 2020)

Phoenixmap: An Abstract Approach to Visualize 2D Spatial Distributions. - Junhan Zhao; Xiang Liu 016; Chen Guo; Zhenyu Cheryl Qian; Yingjie Victor Chen (IEEE Trans. Vis. Comput. Graph., 2021)

Memorizing All for Implicit Discourse Relation Recognition. - Kashif Munir; Hongxiao Bai; Hai Zhao 001; Junhan Zhao (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Federated contrastive learning models for prostate cancer diagnosis and Gleason grading. - Fei Kong; Jinxi Xiang; Xiyue Wang; Xinran Wang; Meng Yue; Jun Zhang 018; Sen Yang 006; Junhan Zhao; Xiao Han 011; Yuhan Dong; Yueping Liu (CoRR, 2023)

Colorslope: a balanced visualization of overview and details on ranks over time. - Hao Wang 181; Xingyu Jiang; Apurva Nagarajan; Xiaolei Guo; Lu Ding; Dayu Wan; Junhan Zhao; Yingjie Victor Chen (Vis. Intell., 2023)

Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation. - Xiang Gao 014; Zhengbo Xu; Junhan Zhao; Jiaying Liu 001 (AAAI, 2024)

Radiance Field Learners As UAV First-Person Viewers. - Liqi Yan; Qifan Wang 001; Junhan Zhao; Qiang Guan; Zheng Tang; Jianhui Zhang; Dongfang Liu (ECCV (61), 2024)

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (EMNLP, 2024)

A systematic evaluation of computational methods for cell segmentation. - Yuxing Wang; Junhan Zhao; Hongye Xu; Cheng Han 001; Zhiqiang Tao; Dawei Zhou; Tong Geng; Dongfang Liu; Zhicheng Ji (Briefings Bioinform., 2024)

Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings. - Junhan Zhao; Xiang Liu 016; Hongping Tang; Xiyue Wang; Sen Yang 006; Donfang Liu; Yijiang Chen; Yingjie Victor Chen (Comput. Biol. Medicine, 2024)

M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. - Taowen Wang; Yiyang Liu 003; James Chenhao Liang; Junhan Zhao; Yiming Cui 002; Yuning Mao; Shaoliang Nie; Jiahao Liu; Fuli Feng; Zenglin Xu; Cheng Han 001; Lifu Huang; et al. (CoRR, 2024)

Predicting physical functioning status in older adults: insights from wrist accelerometer sensors and derived digital biomarkers of physical activity. - Lingjie Fan; Junhan Zhao; Yao Hu; Junjie Zhang; Xiyue Wang; Fengyi Wang; Mengyi Wu; Tao Lin (J. Am. Medical Informatics Assoc., 2024)

PFIMPA: A Multimodal Approach to Predict Physical Function Impairment in Older Adults Using Physical Activity From Wrist-Worn Accelerometer. - Lingjie Fan; Junjie Zhang; Junhan Zhao; Fengyi Wang; Tao Luo; Tao Lin (IEEE Trans. Instrum. Meas., 2024)

Optimal sensor placement for permanent magnet synchronous motor condition monitoring using a digital twin-assisted fault diagnosis approach. - Sara Kohtz; Junhan Zhao; Anabel Renteria; Anand Lalwani; Yanwen Xu; Xiaolong Zhang; Kiruba Sivasubramaniam Haran; Debbie G. Senesky; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2024)

Error-Robust and Label-Efficient Deep Learning for Understanding Tumor Microenvironment From Spatial Transcriptomics. - Jiake Leng; Yiyan Zhang; Xiang Liu; Yiming Cui 002; Junhan Zhao; Yongxin Ge (IEEE Trans. Circuits Syst. Video Technol., 2024)

SAC-Net: Enhancing Spatiotemporal Aggregation in Cervical Histological Image Classification via Label-Efficient Weakly Supervised Learning. - Xiyue Wang; De Cai; Sen Yang 006; Yiming Cui 002; Junyou Zhu; Kanran Wang; Junhan Zhao (IEEE Trans. Circuits Syst. Video Technol., 2024)

HiCervix: An Extensive Hierarchical Dataset and Benchmark for Cervical Cytology Classification. - De Cai; Jie Chen; Junhan Zhao; Yuan Xue 002; Sen Yang 006; Wei Yuan 015; Min Feng; Haiyan Weng; Shuguang Liu; Yulong Peng; Junyou Zhu; Kanran Wang; et al. (IEEE Trans. Medical Imaging, 2024)

Active learning in computational pathology with noise detection empowered by loss-based prior and feature analysis. - Yujian Huang; Jinyang Li; Hui An; Tong Luo; Zheyi Ji; Yi Song; Huijun Liu; Kaicheng U; Sophia Meixuan Zhang; Junhan Zhao; Yongxin Ge (Biomed. Signal Process. Control., 2025)

Advancing hierarchical neural networks with scale-aware pyramidal feature learning for medical image dense prediction. - Xiang Liu; James Liang; Jianwei Zhang; Zihan Qian; Phoebe Xing; Taige Chen; Shanchieh Yang; Chijioke Chukwudi; Liang Qiu; Dongfang Liu; Junhan Zhao (Comput. Methods Programs Biomed., 2025)

Rethinking Copy-Paste for Consistency Learning in Medical Image Segmentation. - Senlong Huang; Yongxin Ge; Dongfang Liu; Mingjian Hong; Junhan Zhao; Alexander C. Loui (IEEE Trans. Image Process., 2025)

DISPROTBENCH: A Disorder-Aware, Task-Rich Benchmark for Evaluating Protein Structure Prediction in Realistic Biological Contexts. - Xinyue Zeng; Tuo Wang; Adithya Kulkarni; Alexander Lu; Alexandra Ni; Phoebe Xing; Junhan Zhao; Siwei Chen; Dawei Zhou 001 (CoRR, 2025)

Counterfactual Bidirectional Co-Attention Transformer for Integrative Histology-Genomic Cancer Risk Stratification. - Zheyi Ji; Yongxin Ge; Chijioke Chukwudi; Kaicheng U; Sophia Meixuan Zhang; Yulong Peng; Junyou Zhu; Hossam Zaki; Xueling Zhang; Sen Yang 006; Xiyue Wang; Yijiang Chen; et al. (IEEE J. Biomed. Health Informatics, 2025)