Novel deep learning-based transcriptome data analysis for drug-drug interaction prediction with an application in diabetes. - Qichao Luo; Shenglong Mo; Yunfei Xue; Xiangzhou Zhang; Yuliang Gu; Lijuan Wu; Jia Zhang; Linyan Sun; Mei Liu; Yong Hu 002 (BMC Bioinform., 2021)

Pruning Adatperfusion with Lottery Ticket Hypothesis. - Jiarun Wu; Qingliang Chen; Zeguan Xiao; Yuliang Gu; Mengsi Sun (NAACL-HLT (Findings), 2022)

Phy-Taylor: Physics-Model-Based Deep Neural Networks. - Yanbing Mao; Lui Sha; Huajie Shao; Yuliang Gu; Qixin Wang; Tarek F. Abdelzaher (CoRR, 2022)

Synergistic Perception and Control Simplex for Verifiable Safe Vertical Landing. - Ayoosh Bansal; Yang Zhao; James Zhu; Sheng Cheng 001; Yuliang Gu; Hyung-Jin Yoon; Hunmin Kim; Naira Hovakimyan; Lui Sha (CoRR, 2023)

Dual Structure-Preserving Image Filterings for Semi-supervised Medical Image Segmentation. - Yuliang Gu; Zhichao Sun; Xin Xiao 010; Yuda Zou; Zelong Liu; Yongchao Xu (CoRR, 2023)

Sℒ1-Simplex: Safe Velocity Regulation of Self-Driving Vehicles in Dynamic and Unforeseen Environments. - Yanbing Mao; Yuliang Gu; Naira Hovakimyan; Lui Sha; Petros G. Voulgaris (ACM Trans. Cyber Phys. Syst., 2023)

Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation. - Yuliang Gu; Yepeng Liu; Zhichao Sun; Jinchi Zhu; Yongchao Xu; Laurent Najman (BIBM, 2024)

Progressive Retinal Image Registration via Global and Local Deformable Transformations. - Yepeng Liu; Baosheng Yu; Tian Chen; Yuliang Gu; Bo Du 001; Yongchao Xu; Jun Cheng 003 (BIBM, 2024)

Proto-MPC: An encoder-prototype-decoder approach for quadrotor control in challenging winds. - Yuliang Gu; Sheng Cheng 001; Naira Hovakimyan (L4DC, 2024)

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays. - Zhichao Sun; Yuliang Gu; Yepeng Liu; Zerui Zhang; Zhou Zhao; Yongchao Xu (MICCAI (1), 2024)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation. - Zhikai Wei; Wenhui Dong; Peilin Zhou; Yuliang Gu; Zhou Zhao; Yongchao Xu (MICCAI (8), 2024)

WIA-LD2ND: Wavelet-Based Image Alignment for Self-supervised Low-Dose CT Denoising. - Haoyu Zhao; Yuliang Gu; Zhou Zhao; Bo Du 001; Yongchao Xu; Rui Yu 002 (MICCAI (7), 2024)

Task-Parameter Nexus: Task-Specific Parameter Learning for Model-Based Control. - Sheng Cheng 001; Ran Tao; Yuliang Gu; Shenlong Wang; Xiaofeng Wang 007; Naira Hovakimyan (CoRR, 2024)

Nighttime image semantic segmentation with retinex theory. - Zhichao Sun; Huachao Zhu; Xin Xiao 010; Yuliang Gu; Yongchao Xu (Image Vis. Comput., 2024)

Query-guided generalizable medical image segmentation. - Zhiyi Yang; Zhou Zhao; Yuliang Gu; Yongchao Xu (Pattern Recognit. Lett., 2024)

Dual structure-aware image filterings for semi-supervised medical image segmentation. - Yuliang Gu; Zhichao Sun; Tian Chen; Xin Xiao 010; Yepeng Liu; Yongchao Xu; Laurent Najman (Medical Image Anal., 2025)

Learning Modality-Invariant Feature for Multimodal Image Matching via Knowledge Distillation. - Yepeng Liu; Wenpeng Lai; Yuliang Gu; Gui-Song Xia; Bo Du 001; Yongchao Xu (IEEE Trans. Geosci. Remote. Sens., 2025)

Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation. - Yuliang Gu; Weilun Tsao; Bo Du 001; Thierry Géraud; Yongchao Xu (CoRR, 2025)

Phy-Taylor: Partially Physics-Knowledge-Enhanced Deep Neural Networks via NN Editing. - Yanbing Mao; Yuliang Gu; Lui Sha; Huajie Shao; Qixin Wang; Tarek F. Abdelzaher (IEEE Trans. Neural Networks Learn. Syst., 2025)

RefDrone: A Challenging Benchmark for Referring Expression Comprehension in Drone Scenes. - Zhichao Sun; Yepeng Liu; Huachao Zhu; Yuliang Gu; Yuda Zou; Zelong Liu; Gui-Song Xia; Bo Du 001; Yongchao Xu (CoRR, 2025)

Consistent-Point: Consistent Pseudo-Points for Semi-Supervised Crowd Counting and Localization. - Yuda Zou; Zelong Liu; Yuliang Gu; Bo Du 001; Yongchao Xu (CoRR, 2025)

Bregman Centroid Guided Cross-Entropy Method. - Yuliang Gu; Hongpeng Cao; Marco Caccamo; Naira Hovakimyan (CoRR, 2025)

Observations Meet Actions: Learning Control-Sufficient Representations for Robust Policy Generalization. - Yuliang Gu; Hongpeng Cao; Marco Caccamo; Naira Hovakimyan (CoRR, 2025)

Coarse-to-fine crack cue for robust crack detection. - Zelong Liu; Yuliang Gu; Zhichao Sun; Huachao Zhu; Xin Xiao 010; Bo Du 001; Laurent Najman; Yongchao Xu (Pattern Recognit., 2026)