PA-INR: Parallel adapter-based storage of edited implicit neural representation. - Ma, Mingyi; Wang, Xinzui; Wang, Yan; Xu, Tongda; Cao, Fucheng; Su, Shichen (J. Vis. Commun. Image Represent., 2025)

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression. - Zhang, Xinjie; Gao, Shenyuan; Liu, Zhening; Shao, Jiawei; Ge, Xingtong; He, Dailan; Xu, Tongda; Wang, Yan; Zhang, Jun (2025)

PICD: Versatile Perceptual Image Compression with Diffusion Rendering. - Xu, Tongda; Li, Jiahao; Li, Bin; Wang, Yan; Zhang, Ya-Qin; Lu, Yan (2025)

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior. - Xu, Tongda; Cai, Xiyan; Zhang, Xinjie; Ge, Xingtong; He, Dailan; Sun, Ming; Liu, Jingjing; Zhang, Ya-Qin; Li, Jian; Wang, Yan (2025)

Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior. - Xu, Tongda; Cai, Xiyan; Zhang, Xinjie; Ge, Xingtong; He, Dailan; Sun, Limin; Liu, Jingjing; Zhang, Ya-Qin; Li, Jian; Wang, Yan (CoRR, 2025)

CoopDETR: A Unified Cooperative Perception Framework for 3D Detection via Object Query. - Wang, Zhe; Xu, Shaocong; Zhuang, Xucai; Xu, Tongda; Wang, Yan; Liu, Jingjing; Chen, Yilun; Zhang, Ya-Qin (CoRR, 2025)

PICD: Versatile Perceptual Image Compression with Diffusion Rendering. - Xu, Tongda; Li, Jiahao; Li, Bin; Wang, Yan; Zhang, Ya-Qin; Lu, Yan (CoRR, 2025)

SenseFlow: Scaling Distribution Matching for Flow-based Text-to-Image Distillation. - Ge, Xingtong; Zhang, Xin; Xu, Tongda; Zhang, Yi; Zhang, Xinjie; Wang, Yan; Zhang, Jun (CoRR, 2025)

Fast Training-free Perceptual Image Compression. - Zhu, Ziran; Xu, Tongda; Huang, Minye; He, Dailan; Ge, Xingtong; Zhang, Xinjie; Li, Ling; Wang, Yan (CoRR, 2025)

Boosting Neural Representations for Videos with a Conditional Decoder. - Zhang, Xinjie; Yang, Ren; He, Dailan; Ge, Xingtong; Xu, Tongda; Wang, Yan; Qin, Hongwei; Zhang, Jun (2024)

Task-Aware Encoder Control for Deep Video Compression. - Ge, Xingtong; Luo, Jixiang; Zhang, Xinjie; Xu, Tongda; Lu, Guo; He, Dailan; Geng, Jing; Wang, Yan; Zhang, Jun; Qin, Hongwei (2024)

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting. - Zhang, Xinjie; Ge, Xingtong; Xu, Tongda; He, Dailan; Wang, Yan; Qin, Hongwei; Lu, Guo; Geng, Jing; Zhang, Jun (2024)

Bandwidth-Efficient Inference for Nerual Image Compression. - Yin, Shanzhi; Xu, Tongda; Liang, Yongsheng; Wang, Yuanyuan; Li, Yanghao; Wang, Yan; Liu, Jingjing (2024)

ECM-OPCC: Efficient Context Model for Octree-Based Point Cloud Compression. - Jin, Yiqi; Zhu, Ziyu; Xu, Tongda; Lin, Yuhuan; Wang, Yan (2024)

GeneFormer: Learned Gene Compression using Transformer-Based Context Modeling. - Cui, Zhanbei; Xu, Tongda; Wang, Jia; Liao, Yu; Wang, Yan (2024)

Idempotence and Perceptual Image Compression. - Xu, Tongda; Zhu, Ziran; He, Dailan; Li, Yanghao; Guo, Lina; Wang, Yuanyuan; Wang, Zhe; Qin, Hongwei; Wang, Yan; Liu, Jingjing; Zhang, Ya-Qin (2024)

Noise Dimension of GAN: An Image Compression Perspective. - Zhu, Ziran; Xu, Tongda; Li, Ling; Wang, Yan (2024)

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. - Wang, Zhe; Fan, Siqi; Huo, Xiaoliang; Xu, Tongda; Wang, Yan; Liu, Jingjing; Chen, Yilun; Zhang, Ya-Qin (2024)

Idempotence and Perceptual Image Compression. - Xu, Tongda; Zhu, Ziran; He, Dailan; Li, Yanghao; Guo, Lina; Wang, Yuanyuan; Wang, Zhe; Qin, Hongwei; Wang, Yan; Liu, Jingjing; Zhang, Ya-Qin (CoRR, 2024)

EMIFF: Enhanced Multi-scale Image Feature Fusion for Vehicle-Infrastructure Cooperative 3D Object Detection. - Wang, Zhe; Fan, Siqi; Huo, Xiaoliang; Xu, Tongda; Wang, Yan; Liu, Jingjing; Chen, Yilun; Zhang, Ya-Qin (CoRR, 2024)

Boosting Neural Representations for Videos with a Conditional Decoder. - Zhang, Xinjie; Yang, Ren; He, Dailan; Ge, Xingtong; Xu, Tongda; Wang, Yan; Qin, Hongwei; Zhang, Jun (CoRR, 2024)

Content-aware Masked Image Modeling Transformer for Stereo Image Compression. - Zhang, Xinjie; Gao, Shenyuan; Liu, Zhening; Shao, Jiawei; Ge, Xingtong; He, Dailan; Xu, Tongda; Wang, Yan; Zhang, Jun (CoRR, 2024)

GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting. - Zhang, Xinjie; Ge, Xingtong; Xu, Tongda; He, Dailan; Wang, Yan; Qin, Hongwei; Lu, Guo; Geng, Jing; Zhang, Jun (CoRR, 2024)

Noise Dimension of GAN: An Image Compression Perspective. - Zhu, Ziran; Xu, Tongda; Li, Ling; Wang, Yan (CoRR, 2024)

Consistency Models Improve Diffusion Inverse Solvers. - Xu, Tongda; Zhu, Ziran; He, Dailan; Wang, Yuanyuan; Sun, Ming; Li, Ning; Qin, Hongwei; Wang, Yan; Liu, Jingjing; Zhang, Ya-Qin (CoRR, 2024)

Task-Aware Encoder Control for Deep Video Compression. - Ge, Xingtong; Luo, Jixiang; Zhang, Xinjie; Xu, Tongda; Lu, Guo; He, Dailan; Geng, Jing; Wang, Yan; Zhang, Jun; Qin, Hongwei (CoRR, 2024)

MEGA: Memory-Efficient 4D Gaussian Splatting for Dynamic Scenes. - Zhang, Xinjie; Liu, Zhening; Zhang, Yifan; Ge, Xingtong; He, Dailan; Xu, Tongda; Wang, Yan; Lin, Zehong; Yan, Shuicheng; Zhang, Jun (CoRR, 2024)

Your Camera Improves Your Point Cloud Compression. - Lin, Yuhuan; Xu, Tongda; Zhu, Ziyu; Li, Yanghao; Wang, Zhe; Wang, Yan (2023)

Unified Learning-Based Lossy and Lossless Jpeg Recompression. - Zhang, Jianghui; Wang, Yuanyuan; Guo, Lina; Luo, Jixiang; Xu, Tongda; Wang, Yan; Wang, Zhi; Qin, Hongwei (2023)

MIXLIC: Mixing Global and Local Context Model for learned Image Compression. - Ruan, Haihang; Wang, Feng; Xu, Tongda; Tan, Zhiyong; Wang, Yan (2023)

Bit Allocation using Optimization. - Xu, Tongda; Gao, Han; Gao, Chenjian; Wang, Yuanyuan; He, Dailan; Pi, Jinyong; Luo, Jixiang; Zhu, Ziyu; Ye, Mao; Qin, Hongwei; Wang, Yan; Liu, Jingjing; et al. (2023)

Idempotent Learned Image Compression with Right-Inverse. - Li, Yanghao; Xu, Tongda; Wang, Yan; Liu, Jingjing; Zhang, Ya-Qin (2023)

VIMI: Vehicle-Infrastructure Multi-view Intermediate Fusion for Camera-based 3D Object Detection. - Wang, Zhe; Fan, Siqi; Huo, Xiaoliang; Xu, Tongda; Wang, Yan; Liu, Jingjing; Chen, Yilun; Zhang, Ya-Qin (CoRR, 2023)

Evaluating Strong Idempotence of Image Codec. - Zhang, Qian; Xu, Tongda; Li, Yanghao; Wang, Yan (CoRR, 2023)

Conditional Perceptual Quality Preserving Image Compression. - Xu, Tongda; Zhang, Qian; Li, Yanghao; He, Dailan; Wang, Zhe; Wang, Yuanyuan; Qin, Hongwei; Wang, Yan; Liu, Jingjing; Zhang, Ya-Qin (CoRR, 2023)

Bandwidth-efficient Inference for Neural Image Compression. - Yin, Shanzhi; Xu, Tongda; Liang, Yongsheng; Wang, Yuanyuan; Li, Yanghao; Wang, Yan; Liu, Jingjing (CoRR, 2023)

Unified learning-based lossy and lossless JPEG recompression. - Zhang, Jianghui; Wang, Yuanyuan; Guo, Lina; Luo, Jixiang; Xu, Tongda; Wang, Yan; Wang, Zhi; Qin, Hongwei (CoRR, 2023)

PO-ELIC: Perception-Oriented Efficient Learned Image Coding. - He, Dailan; Yang, Ziming; Yu, Hongjiu; Xu, Tongda; Luo, Jixiang; Chen, Yuan; Gao, Chenjian; Shi, Xinjie; Qin, Hongwei; Wang, Yan (2022)

Spatial Moment Pooling Improves Neural Image Assessment. - Xu, Tongda; Shao, Yifan; Wang, Yan; Qin, Hongwei (2022)

Flexible Neural Image Compression via Code Editing. - Gao, Chenjian; Xu, Tongda; He, Dailan; Wang, Yan; Qin, Hongwei (2022)

Multi-Sample Training for Neural Image Compression. - Xu, Tongda; Wang, Yan; He, Dailan; Gao, Chenjian; Gao, Han; Liu, Kunzan; Qin, Hongwei (2022)

Flexible Neural Image Compression via Code Editing. - Gao, Chenjian; Xu, Tongda; He, Dailan; Qin, Hongwei; Wang, Yan (CoRR, 2022)

Bit Allocation using Optimization. - Xu, Tongda; Gao, Han; Gao, Chenjian; Pi, Jinyong; Li, Yanghao; Wang, Yuanyuan; Zhu, Ziyu; He, Dailan; Ye, Mao; Qin, Hongwei; Wang, Yan (CoRR, 2022)

Multi-Sample Training for Neural Image Compression. - Xu, Tongda; Wang, Yan; He, Dailan; Gao, Chenjian; Gao, Han; Liu, Kunzan; Qin, Hongwei (CoRR, 2022)

Correcting the Sub-optimal Bit Allocation. - Xu, Tongda; Gao, Han; Wang, Yuanyuan; Qin, Hongwei; Wang, Yan; Liu, Jingjing; Zhang, Ya-Qin (CoRR, 2022)

Spatial Moment Pooling Improves Neural Image Assessment. - Xu, Tongda; Shao, Yifan; Wang, Yan; Qin, Hongwei (CoRR, 2022)

ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression. - Jin, Yiqi; Zhu, Ziyu; Xu, Tongda; Lin, Yuhuan; Wang, Yan (CoRR, 2022)

GeneFormer: Learned Gene Compression using Transformer-based Context Modeling. - Cui, Zhanbei; Liao, Yu; Xu, Tongda; Wang, Yan (CoRR, 2022)

Ultrasound Mouse Embryo Segmentation and Classification. - Qiu, Ziming; Xu, Tongda; Langerman, Jack; Das, William; Wang, Chuiyu; Nair, Nitin; Aristizábal, Orlando; Mamou, Jonathan; Turnbull, Daniel H.; Ketterling, Jeffrey A.; Wang, Yao (IEEE DataPort, 2021)

HLIC: Harmonizing Optimization Metrics in Learned Image Compression by Reinforcement Learning. - Sun, Baocheng; Gu, Meng; He, Dailan; Xu, Tongda; Wang, Yan; Qin, Hongwei (CoRR, 2021)

Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. - Xu, Tongda; Qiu, Ziming; Das, William; Wang, Chuiyu; Langerman, Jack; Nair, Nitin; Aristizábal, Orlando; Mamou, Jonathan; Turnbull, Daniel H.; Ketterling, Jeffrey A.; Wang, Yao (2020)

Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method. - Xu, Tongda; Cai, Xiyan; Wang, Yao; Wang, Xiuyuan; Chung, Sohae; Fieremans, Els; Rath, Joseph; Flanagan, Steven; Lui, Yvonne W. (CoRR, 2019)

Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes. - Xu, Tongda; Qiu, Ziming; Das, William; Wang, Chuiyu; Langerman, Jack; Nair, Nitin; Aristizábal, Orlando; Mamou, Jonathan; Turnbull, Daniel H.; Ketterling, Jeffrey A.; Wang, Yao (CoRR, 2019)

Mindgame: Mediating People's EEG Alpha Band Power through Reinforcement Learning. - Xu, Tongda; Wang, Dinglu; You, Xiaohui (2018)