KINARI-Web: a server for protein rigidity analysis. - Naomi Fox; Filip Jagodzinski; Yang Li 104; Ileana Streinu (Nucleic Acids Res., 2011)

Large-scale joint map matching of GPS traces. - Yang Li 104; Qixing Huang; Michael Kerber; Lin Zhang 001; Leonidas J. Guibas (SIGSPATIAL/GIS, 2013)

Knowledge-based trajectory completion from sparse GPS samples. - Yang Li 104; Yangyan Li; Dimitrios Gunopulos; Leonidas J. Guibas (SIGSPATIAL/GIS, 2016)

Urban Travel Time Prediction using a Small Number of GPS Floating Cars. - Yang Li 104; Dimitrios Gunopulos; Cewu Lu; Leonidas J. Guibas (SIGSPATIAL/GIS, 2017)

Exploiting shared structures in large GPS trajectory datasets under uncertainty. - Yang Li 104 (2017)

Joint Mobility Pattern Mining with Urban Region Partitions. - Jing Lian 003; Yang Li 104; Weixi Gu; Shao-Lun Huang; Lin Zhang 001 (MobiQuitous, 2018)

HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. - Nikolaos Zygouras; Nikolaos Panagiotou; Yang Li 104; Dimitrios Gunopulos; Leonidas J. Guibas (SIGSPATIAL/GIS, 2019)

An Information-Theoretic Approach to Transferability in Task Transfer Learning. - Yajie Bao; Yang Li 104; Shao-Lun Huang; Lin Zhang 001; Lizhong Zheng; Amir Zamir; Leonidas J. Guibas (ICIP, 2019)

Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. - Lu Li; Yang Li 104; Xiangxiang Xu 001; Shao-Lun Huang; Lin Zhang 001 (ICME, 2019)

An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information. - Fei Ma 006; Wei Zhang; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ICME, 2019)

Info-Detection: An Information-Theoretic Approach to Detect Outlier. - Feng Zhao; Fei Ma 006; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ICONIP (5), 2019)

A maximal correlation embedding method for multilabel human context recognition: poster abstract. - Lu Li; Yang Li 104; Xiangxiang Xu 001; Lin Zhang 001 (IPSN, 2019)

Mining Mobility Patterns with Trip-Based Traffic Analysis Zones: A Deep Feature Embedding Approach. - Jing Lian 003; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ITSC, 2019)

Personalized Travel Time Prediction Using a Small Number of Probe Vehicles. - Yang Li 104; Dimitrios Gunopulos; Cewu Lu; Leonidas J. Guibas (ACM Trans. Spatial Algorithms Syst., 2019)

Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. - Mingyang Li; Yang Li 104; Shao-Lun Huang; Lin Zhang 001 (ICIP, 2020)

Person Recognition with HGR Maximal Correlation on Multimodal Data. - Yihua Liang; Fei Ma 006; Yang Li 104; Shao-Lun Huang (ICPR, 2020)

Mining Regional Mobility Patterns for Urban Dynamic Analytics. - Jing Lian 003; Yang Li 104; Weixi Gu; Shao-Lun Huang; Lin Zhang 001 (Mob. Networks Appl., 2020)

OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. - Yang Tan 004; Yang Li 104; Shao-Lun Huang (CVPR, 2021)

How Does Policy Stringency Affect the Spread of COVID-19 Pandemic? A Country Level Study. - Yicong Li 003; Calvin Chan; Yang Li 104; Ercan Engin Kuruoglu (EUSIPCO, 2021)

Few-Shot Cross Domain Battery Capacity Estimation. - Zihao Zhou; Aihua Ran; Shuxiao Chen; Guodan Wei; Hongbin Sun 002; Xuan Zhang 004; Yang Li 104 (UbiComp/ISWC Adjunct, 2021)

Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. - Wangbin Sun; Fei Ma 006; Yang Li 104; Shao-Lun Huang; Shiguang Ni; Lin Zhang 001 (ICASSP, 2021)

Joint PVL Detection and Manual Ability Classification Using Semi-supervised Multi-task Learning. - Jingyun Yang; Jie Hu; Yicong Li 003; Heng Liu; Yang Li 104 (MICCAI (7), 2021)

Practical Transferability Estimation for Image Classification Tasks. - Yang Tan 004; Yang Li 104; Shao-Lun Huang (CoRR, 2021)

Class-conditioned Domain Generalization via Wasserstein Distributional Robust Optimization. - Jingge Wang; Yang Li 104; Liyan Xie; Yao Xie 002 (CoRR, 2021)

Transferability Estimation for Semantic Segmentation Task. - Yang Tan 004; Yang Li 104; Shao-Lun Huang (CoRR, 2021)

Modelling Time-Varying Epidemiological Parameters for COVID-19. - Ercan Engin Kuruoglu; Yang Li 104 (ERCIM News, 2021)

Finding the Most Transferable Tasks for Brain Image Segmentation. - Yicong Li 003; Yang Tan 004; Jingyun Yang; Yang Li 104; Xiao-Ping Zhang 003 (BIBM, 2022)

Riemannian Geometric Instance Filtering for Transfer Learning in Brain-Computer Interfaces. - Qianxin Hui; Xiaolin Liu; Yang Li 104; Susu Xu; Shuailei Zhang; Ying Sun; Shuai Wang; Xinlei Chen; Dezhi Zheng (SenSys, 2022)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning. - Yang Tan 004; Yang Li 104; Shao-Lun Huang; Xiao-Ping Zhang 003 (CoRR, 2022)

Investigating Consistency Constraints in Heterogeneous Multi-task Learning for Medical Image Processing. - Jingyun Yang; Yicong Li 003; Yang Tan 004; Heng Liu; Yang Li 104 (BIBM, 2023)

Explainable Trajectory Representation through Dictionary Learning. - Yuanbo Tang; Zhiyuan Peng; Yang Li 104 (SIGSPATIAL/GIS, 2023)

Efficient Prediction of Model Transferability in Semantic Segmentation Tasks. - Yang Tan 004; Yicong Li 003; Yang Li 104; Xiao-Ping Zhang 003 (ICIP, 2023)

RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yuan Meng; Fang Shen; Yue Li; Jialong Wang; Yang Li 104; Wenwu Zhu 001 (CIKM, 2024)

Enhancing Implicit Shape Generators Using Topological Regularizations. - Liyan Chen; Yan Zheng; Yang Li 104; Lohit Anirudh Jagarapu; Haoxiang Li; Hao Kang; Gang Hua 001; Qixing Huang (ICML, 2024)

A Geometric Algorithm for Blood Vessel Reconstruction from Skeletal Representation. - Guoqing Zhang; Yang Li 104 (ISBRA (1), 2024)

Safe Routes, Safer Rides: A Multi-Tiered Approach to Trajectory Anomaly Detection. - Sirui He; Chenye Wu; Zuxin Li; Yang Li 104 (MobiCom, 2024)

Predicting community case transfer path and processing time using decoder models. - Yiwen Liu; Dongdong Zhang; Xinyu Yang; Yuanbo Tang; Yang Chen; Qingmin Liao; Yang Li 104 (MobiCom, 2024)

Enhancing Continuous Domain Adaptation with Multi-path Transfer Curriculum. - Hanbing Liu; Jingge Wang; Xuan Zhang 004; Ye Guo; Yang Li 104 (PAKDD (2), 2024)

Cauchy Graphical Models. - Taurai Muvunza; Yang Li 104; Ercan Engin Kuruoglu (PGM, 2024)

LLM-Enhanced Causal Discovery in Temporal Domain from Interventional Data. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yuan Meng; Fang Shen; Yue Li; Jialong Wang; Yang Li 104; Wenweu Zhu (CoRR, 2024)

Causal-Aware Graph Neural Architecture Search under Distribution Shifts. - Peiwen Li; Xin Wang 019; Zeyang Zhang 001; Yijian Qin; Ziwei Zhang 001; Jialong Wang; Yang Li 104; Wenwu Zhu 001 (CoRR, 2024)

P3P: Pseudo-3D Pre-training for Scaling 3D Masked Autoencoders. - Xuechao Chen; Ying Chen; Jialin Li; Qiang Nie; Yong Liu; Qixing Huang; Yang Li 104 (CoRR, 2024)

Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal Alignment. - Keren Artiaga; Yang Li 104; Ercan Engin Kuruoglu; Wai Kin (Victor) Chan (Multim. Tools Appl., 2024)

Reinforced Domain Selection for Continuous Domain Adaptation. - Hanbing Liu; Huaze Tang; Yanru Wu; Yang Li 104; Xiao-Ping Zhang 002 (ICASSP, 2025)

CCIS-DIFF: A Generative Model with Stable Diffusion Prior for Controlled Colonoscopy Image Synthesis. - Yifan Xie; Jingge Wang; Tao Feng; Fei Ma 006; Yang Li 104 (ISBI, 2025)

Cauchy Graph Convolutional Networks. - Taurai Muvunza; Yang Li 104; Ercan Engin Kuruoglu (Int. J. Approx. Reason., 2025)

Generalizing to Unseen Domains With Wasserstein Distributional Robustness Under Limited Source Knowledge. - Jingge Wang; Liyan Xie; Yao Xie 002; Shao-Lun Huang; Yang Li 104 (IEEE J. Sel. Top. Signal Process., 2025)

Transferability-Guided Cross-Domain Cross-Task Transfer Learning. - Yang Tan 004; Enming Zhang; Yang Li 104; Shao-Lun Huang; Xiao-Ping Zhang 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)