Machine Learning-Based Resource Optimization for D2D Communication Underlaying Networks. - Lingting Zhu; Chonghe Liu; Jiantao Yuan; Guanding Yu (VTC Fall, 2020)

Cheap Lunch for Medical Image Segmentation by Fine-Tuning SAM on Few Exemplars. - Weijia Feng; Lingting Zhu; Lequan Yu (BrainLes/SWITCH@MICCAI, 2023)

Taming Diffusion Models for Audio-Driven Co-Speech Gesture Generation. - Lingting Zhu; Xian Liu; Xuanyu Liu; Rui Qian 001; Ziwei Liu 002; Lequan Yu (CVPR, 2023)

Make-A-Volume: Leveraging Latent Diffusion Models for Cross-Modality 3D Brain MRI Synthesis. - Lingting Zhu; Zeyue Xue; Zhenchao Jin; Xian Liu; Jingzhen He; Ziwei Liu 002; Lequan Yu (MICCAI (10), 2023)

IDRNet: Intervention-Driven Relation Network for Semantic Segmentation. - Zhenchao Jin; Xiaowei Hu 001; Lingting Zhu; Luchuan Song; Li Yuan; Lequan Yu (NeurIPS, 2023)

HFGS: 4D Gaussian Splatting with Emphasis on Spatial and Temporal High-Frequency Components for Endoscopic Scene Reconstruction. - Haoyu Zhao; Xingyue Zhao; Lingting Zhu; Weixi Zheng; Yongchao Xu (BMVC, 2024)

EndoGS: Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting. - Lingting Zhu; Zhao Wang; Jiahao Cui 003; Zhenchao Jin; Guying Lin; Lequan Yu (ISIC/iMIMIC/EARTH/DeCaF@MICCAI, 2024)

Low-to-High Frequency Progressive K-Space Learning for MRI Reconstruction. - Xiaohan Xing; Liang Qiu; Lequan Yu; Lingting Zhu; Lei Xing 001; Lianli Liu (MLMI@MICCAI (1), 2024)

CustomVideo: Customizing Text-to-Video Generation with Multiple Subjects. - Zhao Wang 006; Aoxue Li; Enze Xie; Lingting Zhu; Yong Guo; Qi Dou 001; Zhenguo Li (CoRR, 2024)

Deformable Endoscopic Tissues Reconstruction with Gaussian Splatting. - Lingting Zhu; Zhao Wang; Zhenchao Jin; Guying Lin; Lequan Yu (CoRR, 2024)

Generative Enhancement for 3D Medical Images. - Lingting Zhu; Noel Codella; Dongdong Chen 001; Zhenchao Jin; Lu Yuan; Lequan Yu (CoRR, 2024)

ToolBridge: An Open-Source Dataset to Equip LLMs with External Tool Capabilities. - Zhenchao Jin; Mengchen Liu; Dongdong Chen 001; Lingting Zhu; Yunsheng Li; Lequan Yu (CoRR, 2024)

Large Images Are Gaussians: High-Quality Large Image Representation with Levels of 2D Gaussian Splatting. - Lingting Zhu; Guying Lin; Jinnan Chen; Xinjie Zhang; Zhenchao Jin; Zhao Wang; Lequan Yu (AAAI, 2025)

MAR-3D: Progressive Masked Auto-regressor for High-Resolution 3D Generation. - Jinnan Chen; Lingting Zhu; Zeyu Hu; Shengju Qian; Yugang Chen; Xin Wang; Gim Hee Lee (CVPR, 2025)

Generalizable Human Gaussians from Single-View Image. - Jinnan Chen; Chen Li; Jianfeng Zhang; Lingting Zhu; Buzhen Huang; Hanlin Chen; Gim Hee Lee (ICLR, 2025)

Multi-Sensor Learning Enables Information Transfer Across Different Sensory Data and Augments Multi-Modality Imaging. - Lingting Zhu; Yizheng Chen; Lianli Liu; Lei Xing 001; Lequan Yu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

AnyCharV: Bootstrap Controllable Character Video Generation with Fine-to-Coarse Guidance. - Zhao Wang 006; Hao Wen; Lingting Zhu; Chenming Shang; Yujiu Yang; Qi Dou 001 (CoRR, 2025)

Unleash the Power of State Space Model for Whole Slide Image With Local Aware Scanning and Importance Resampling. - Yanyan Huang; Weiqin Zhao; Yu Fu; Lingting Zhu; Lequan Yu (IEEE Trans. Medical Imaging, 2025)

Proxy-Tuning: Tailoring Multimodal Autoregressive Models for Subject-Driven Image Generation. - Yi Wu; Lingting Zhu; Lei Liu; Wandi Qiao; Ziqiang Li; Lequan Yu; Bin Li (CoRR, 2025)

MuMA: 3D PBR Texturing via Multi-Channel Multi-View Generation and Agentic Post-Processing. - Lingting Zhu; Jingrui Ye; Runze Zhang; Zeyu Hu; Yingda Yin; Lanjiong Li; Jinnan Chen; Shengju Qian; Xin Wang; Qingmin Liao; Lequan Yu (CoRR, 2025)

GarmentX: Autoregressive Parametric Representations for High-Fidelity 3D Garment Generation. - Jingfeng Guo; Jinnan Chen; Weikai Chen 003; Zhenyu Sun; Lanjiong Li; Baozhu Zhao; Lingting Zhu; Xin Wang; Qi Liu (CoRR, 2025)

DanceGRPO: Unleashing GRPO on Visual Generation. - Zeyue Xue; Jie Wu 001; Yu Gao; Fangyuan Kong; Lingting Zhu; Mengzhao Chen; Zhiheng Liu; Wei Liu 005; Qiushan Guo; Weilin Huang; Ping Luo 002 (CoRR, 2025)

StyleAR: Customizing Multimodal Autoregressive Model for Style-Aligned Text-to-Image Generation. - Yi Wu; Lingting Zhu; Shengju Qian; Lei Liu; Wandi Qiao; Lequan Yu; Bin Li (CoRR, 2025)

Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences. - Zhao Wang 006; Chang Liu; Lingting Zhu; Tongtong Wang; Shaoting Zhang 001; Qi Dou 001 (IEEE J. Biomed. Health Informatics, 2025)

AssetDropper: Asset Extraction via Diffusion Models with Reward-Driven Optimization. - Lanjiong Li; Guanhua Zhao; Lingting Zhu; Zeyu Cai; Lequan Yu; Jian Zhang; Zeyu Wang (CoRR, 2025)