Bi-Level Multi-column Convolutional Neural Networks for Facial Landmark Point Detection. - Yanyu Xu 001; Shenghua Gao (ECCV Workshops (2), 2016)

Beyond Universal Saliency: Personalized Saliency Prediction with Multi-task CNN. - Yanyu Xu 001; Nianyi Li; Junru Wu; Jingyi Yu 001; Shenghua Gao (IJCAI, 2017)

Gaze Prediction in Dynamic 360° Immersive Videos. - Yanyu Xu 001; Yanbing Dong; Junru Wu; Zhengzhong Sun; Zhiru Shi; Jingyi Yu 001; Shenghua Gao (CVPR, 2018)

Encoding Crowd Interaction With Deep Neural Network for Pedestrian Trajectory Prediction. - Yanyu Xu 001; Zhixin Piao; Shenghua Gao (CVPR, 2018)

Saliency Detection in 360 ^ circ ∘ Videos. - Ziheng Zhang; Yanyu Xu 001; Jingyi Yu 001; Shenghua Gao (ECCV (7), 2018)

Semantic Human Matting. - Quan Chen 006; Tiezheng Ge; Yanyu Xu 001; Zhiqiang Zhang 011; Xinxin Yang; Kun Gai (ACM Multimedia, 2018)

PPGNet: Learning Point-Pair Graph for Line Segment Detection. - Ziheng Zhang; Zhengxin Li; Ning Bi; Jia Zheng 002; Jinlei Wang; Kun Huang 001; Weixin Luo; Yanyu Xu 001; Shenghua Gao (CVPR, 2019)

Personalized Saliency and Its Prediction. - Yanyu Xu 001; Shenghua Gao; Junru Wu; Nianyi Li; Jingyi Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Multiview Multitask Gaze Estimation With Deep Convolutional Neural Networks. - Dongze Lian; Lina Hu; Weixin Luo; Yanyu Xu 001; Lixin Duan; Jingyi Yu 001; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2019)

Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery. - Lei Jin; Yanyu Xu 001; Jia Zheng 002; Junfei Zhang; Rui Tang 015; Shugong Xu; Jingyi Yu 001; Shenghua Gao (CVPR, 2020)

SIRI: Spatial Relation Induced Network For Spatial Description Resolution. - Peiyao Wang; Weixin Luo; Yanyu Xu 001; Haojie Li; Shugong Xu; Jianyu Yang; Shenghua Gao (NeurIPS, 2020)

Amodal Segmentation Based on Visible Region Segmentation and Shape Prior. - Yuting Xiao; Yanyu Xu 001; Ziming Zhong; Weixin Luo; Jiawei Li; Shenghua Gao (AAAI, 2021)

Layout-Guided Novel View Synthesis From a Single Indoor Panorama. - Jiale Xu; Jia Zheng 002; Yanyu Xu 001; Rui Tang 015; Shenghua Gao (CVPR, 2021)

Prior Based Human Completion. - Zibo Zhao 001; Wen Liu 003; Yanyu Xu 001; Xianing Chen; Weixin Luo; Lei Jin; Bohui Zhu; Tong Liu 037; Binqiang Zhao; Shenghua Gao (CVPR, 2021)

Crowd Counting With Partial Annotations in an Image. - Yanyu Xu 001; Ziming Zhong; Dongze Lian; Jing Li 117; Zhengxin Li; Xinxing Xu; Shenghua Gao (ICCV, 2021)

Accurate depth estimation from a hybrid event-RGB stereo setup. - Yi-Fan Zuo; Li Cui; Xin Peng 005; Yanyu Xu 001; Shenghua Gao; Xia Wang 002; Laurent Kneip (IROS, 2021)

Partially-Supervised Learning for Vessel Segmentation in Ocular Images. - Yanyu Xu 001; Xinxing Xu; Lei Jin; Shenghua Gao; Rick Siow Mong Goh; Daniel Shu Wei Ting; Yong Liu 026 (MICCAI (1), 2021)

SUNNet: A novel framework for simultaneous human parsing and pose estimation. - Yanyu Xu 001; Zhixin Piao; Ziheng Zhang; Wen Liu 003; Shenghua Gao (Neurocomputing, 2021)

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models. - Linh D. Le; Huazhu Fu; Xinxing Xu; Yong Liu 026; Yanyu Xu 001; Jiawei Du 002; Joey Tianyi Zhou; Rick Siow Mong Goh (REMIA@MICCAI, 2022)

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks. - Xiaofeng Lei; Shaohua Li 003; Xinxing Xu; Huazhu Fu; Yong Liu 026; Yih Chung Tham; Yangqin Feng; Mingrui Tan; Yanyu Xu 001; Jocelyn Hui Lin Goh; Rick Siow Mong Goh; Ching-Yu Cheng (OMIA@MICCAI, 2022)

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer. - Meng Wang 001; Kai Yu 009; Xinxing Xu; Yi Zhou 024; Yuanyuan Peng; Yanyu Xu 001; Rick Siow Mong Goh; Yong Liu 026; Huazhu Fu (OMIA@MICCAI, 2022)

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer. - Yanyu Xu 001; Xinxing Xu; Huazhu Fu; Meng Wang 001; Rick Siow Mong Goh; Yong Liu 026 (REMIA@MICCAI, 2022)

GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Lexing Huang; Qinji Yu; Sifan Song; Xingxing Xu; Yanyu Xu 001; Wensai Wang; et al. (CoRR, 2022)

Spherical DNNs and Their Applications in 360$^ circ$∘ Images and Videos. - Yanyu Xu 001; Ziheng Zhang; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. - Chi Zhang 123; Xiaoman Zhang; Ekanut Sotthiwat; Yanyu Xu 001; Ping Liu; Liangli Zhen; Yong Liu 026 (ICCV, 2023)

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory. - Yanyu Xu 001; Menghan Zhou; Yangqin Feng; Xinxing Xu; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026 (MICCAI (3), 2023)

GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. - Junde Wu; Huihui Fang; Fei Li 021; Huazhu Fu; Fengbin Lin; Jiongcheng Li; Yue Huang 001; Qinji Yu; Sifan Song; Xinxing Xu; Yanyu Xu 001; Wensai Wang; et al. (Medical Image Anal., 2023)

Test-Time Medical Image Segmentation Using CLIP-Guided SAM Adaptation. - Haotian Chen 002; Yonghui Xu; Yanyu Xu 001; Yixin Zhang; Lizhen Cui 001 (BIBM, 2024)

MeshSegmenter: Zero-Shot Mesh Semantic Segmentation via Texture Synthesis. - Ziming Zhong; Yanyu Xu 001; Jing Li 117; Jiale Xu; Zhengxin Li; Chaohui Yu; Shenghua Gao (ECCV (77), 2024)

Parameter-Efficient Fine-Tuning with Controls. - Chi Zhang 123; Jingpu Cheng; Yanyu Xu 001; Qianxiao Li (ICML, 2024)

Multi-Scale Region-Aware Implicit Neural Network for Medical Images Matting. - Yanyu Xu 001; Yingzhi Xia; Huazhu Fu; Rick Siow Mong Goh; Yong Liu 026; Xinxing Xu (MICCAI (9), 2024)

MedMLP: An Efficient MLP-Like Network for Zero-Shot Retinal Image Classification. - Menghan Zhou; Yanyu Xu 001; Zhi Da Soh; Huazhu Fu; Rick Siow Mong Goh; Ching-Yu Cheng; Yong Liu 026; Liangli Zhen (MICCAI (3), 2024)

Partially Supervised Unpaired Multi-modal Learning for Label-Efficient Medical Image Segmentation. - Lei Zhu 003; Yanyu Xu 001; Huazhu Fu; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026 (MLMI@MICCAI (2), 2024)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays. - Yang Zhou 017; Tan Li Hui Faith; Yanyu Xu 001; Sicong Leng; Xinxing Xu; Yong Liu 026; Rick Siow Mong Goh (NeurIPS, 2024)

FCA-RAC: First Cycle Annotated Repetitive Action Counting. - Jiada Lu; Weiwei Zhou; Xiang Qian; Dongze Lian; Yanyu Xu 001; Weifeng Wang; Lina Cao; Shenghua Gao (CoRR, 2024)

AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis. - Helin Wang; Wei Du 010; Ning Liu 014; Qian Li 043; Yanyu Xu 001; Lizhen Cui 001 (CIKM, 2025)

SAC-B: Soft Actor-Critic with Bias for Suppressing Q-valueOverestimation in Off-Policy Reinforcement Learning. - Han Wang; Wei Du 010; Yanyu Xu 001; Lizhen Cui 002 (DAI, 2025)

Parameterized Diffusion Optimization Enabled Autoregressive Ordinal Regression for Diabetic Retinopathy Grading. - Qinkai Yu; Wei Zhou 021; Hantao Liu; Yanyu Xu 001; Meng Wang 038; Yitian Zhao; Huazhu Fu; Xujiong Ye; Yalin Zheng; Yanda Meng (MICCAI (15), 2025)

Learning Invariant Discriminative Patterns for Unified Anomaly Detection. - Chengcheng Xing; Yanyu Xu 001; Yonghui Xu; Lizhen Cui 001 (ACM Multimedia, 2025)

Diffusion-based Data Augmentation via Noise Concatenation for Chest X-Ray Classification. - Xinran Chen; Yujing Xin; Ning Liu 014; Yanyu Xu 001; Yonghui Xu; Lizhen Cui 001 (SMC, 2025)

Ad2Mix: Adversarial and Adaptive Mixup for Unsupervised Domain Adaptation. - Lei Zhu 003; Yanyu Xu 001; Yong Liu 026; Rick Siow Mong Goh; Xinxing Xu (WACV, 2025)

Effective test-time personalization for federated semantic segmentation. - Haotian Chen 002; Yonghui Xu; Yanyu Xu 001; Yibowen Zhao; Yixin Zhang; Lizhen Cui 001 (Expert Syst. Appl., 2025)

LexPro-1.0 Technical Report. - Haotian Chen 002; Yanyu Xu 001; Boyan Wang; Chaoyue Zhao; Xiaoyu Han; Fang Wang 017; Lizhen Cui 001; Yonghui Xu (CoRR, 2025)

RTS-LLM: Restoring time structure for time series forecasting with LLMs. - Taihua Chen; Xiang Ma 006; Yanyu Xu 001; Yonghui Xu; Shuyuan Qian; Lizhen Cui 001 (Expert Syst. Appl., 2026)

Test-time thinking: Reinforcement adaptation for multimodal LLM reasoning. - Haotian Chen 002; Yanyu Xu 001; Yonghui Xu; Boyan Wang; Fang Wang 017; Li-Zhen Cui 001 (Expert Syst. Appl., 2026)

Toward Effective Model Merging in Semantic Segmentation. - Haotian Chen 002; Yanyu Xu 001; Yonghui Xu; Yu Zhang; Yixin Zhang; Fang Wang 017; Li-Zhen Cui 001 (IEEE Trans. Neural Networks Learn. Syst., 2026)