Parameter Identification for Area-Specific Resistance of Direct Methanol Fuel Cell Using Cuckoo Search Algorithm. - Jiajun Ding; Xiongxiong He; Bo Jiang 016; Yiming Wu 001 (BIC-TA, 2015)

An improved adaboost face detection algorithm based on the different sample weights. - Xingqiang Zhang; Jiajun Ding (CSCWD, 2016)

Image sparse representation based on ensemble learning in compressed sensing. - Donghai Bao; Qingpei Wang; Jiajun Ding; Sheng Li 005; Xiongxiong He (ICSPCC, 2017)

An Adaptive Rate-Distortion Optimization Algorithm for HEVC-SCC with High Perceptual Quality. - Jiajun Ding; Jing Chen 001; Huanqiang Zeng (IFTC, 2018)

A Surface Mass-Spring Model With New Flexion Springs and Collision Detection Algorithms Based on Volume Structure for Real-Time Soft-Tissue Deformation Interaction. - Chunquan Li 001; Jiajun Ding; Zhichao Hong; Yucheng Pan; Peter X. Liu (IEEE Access, 2018)

Space-Time Analysis of Vehicle Theft Patterns in Shanghai, China. - Yuanyuan Mao; Shenzhi Dai; Jiajun Ding; Wei Zhu; Can Wang; Xinyue Ye (ISPRS Int. J. Geo Inf., 2018)

On Collaborative Compressive Sensing Systems: The Framework, Design, and Algorithm. - Zhihui Zhu; Gang Li 010; Jiajun Ding; Qiuwei Li; Xiongxiong He (SIAM J. Imaging Sci., 2018)

A novel multi-dictionary framework with global sensing matrix design for compressed sensing. - Jiajun Ding; Donghai Bao; Qingpei Wang; Xiongxiong He; Huang Bai; Sheng Li 005 (Signal Process., 2018)

Automatic clustering based on density peak detection using generalized extreme value distribution. - Jiajun Ding; Xiongxiong He; Junqing Yuan; Bo Jiang 016 (Soft Comput., 2018)

Contrastive learning of graph encoder for accelerating pedestrian trajectory prediction training. - Zonggui Yao; Jun Yu 002; Jiajun Ding (IET Image Process., 2021)

Distributed feedback network for single-image deraining. - Jiajun Ding; Huanlei Guo; Hang Zhou; Jun Yu 002; Xiongxiong He; Bo Jiang (Inf. Sci., 2021)

FDAM: full-dimension attention module for deep convolutional neural networks. - Silin Cai; Changping Wang; Jiajun Ding; Jun Yu 002; Jianping Fan 001 (Int. J. Multim. Inf. Retr., 2022)

Anonymous identity sampling and reusable synthesis for face camouflage. - Zhenzhong Kuang; Longbin Teng; Xingchi He; Jiajun Ding; Yuta Nakashima; Noboru Babaguchi (J. Electronic Imaging, 2022)

Research and Development of Dangerous Driving Warning and Rescue Devices. - Jiajun Ding (ISCSIC, 2023)

Follow-me: Deceiving Trackers with Fabricated Paths. - Shengtao Lou; Buyu Liu; Jun Bao; Jiajun Ding; Jun Yu 002 (ACM Multimedia, 2023)

Import vertical characteristic of rain streak for single image deraining. - Zhexin Zhang; Jiajun Ding; Jun Yu 002; Yiming Yuan; Jianping Fan 001 (Multim. Syst., 2023)

EGRA-NeRF: Edge-Guided Ray Allocation for Neural Radiance Fields. - Zhenbiao Gai; Zhenyang Liu; Min Tan 005; Jiajun Ding; Jun Yu 002; Mingzhao Tong; Junqing Yuan (Image Vis. Comput., 2023)

An efficient multi-path structure with staged connection and multi-scale mechanism for text-to-image synthesis. - Jiajun Ding; Beili Liu; Jun Yu 002; Huanlei Guo; Ming Shen; Kenong Shen (Multim. Syst., 2023)

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search. - Yiqian Zhang; Yinfu Feng; Wen-Ji Zhou; Yunan Ye; Min Tan 005; Rong Xiao 005; Haihong Tang; Jiajun Ding; Jun Yu 002 (AAAI, 2024)

A Semi-Supervised Approach Combining Image and Frequency Enhancement for Echocardiography Segmentation. - Jiajun Ding; Xiaoxiang Han 001 (IEEE Access, 2024)

SRGS: Super-Resolution 3D Gaussian Splatting. - Xiang Feng; Yongbo He; Yubo Wang; Yan Yang; Zhenzhong Kuang; Jun Yu 002; Jianping Fan 001; Jiajun Ding (CoRR, 2024)

Imp: Highly Capable Large Multimodal Models for Mobile Devices. - Zhenwei Shao; Zhou Yu 001; Jun Yu 002; Xuecheng Ouyang; Lihao Zheng; Zhenbiao Gai; Mingyang Wang; Jiajun Ding (CoRR, 2024)

PINN-EMFNet: PINN-based and Enhanced Multi-Scale Feature Fusion Network for Breast Ultrasound Images Segmentation. - Jiajun Ding; Beiyao Zhu; Wenjie Wang; Shurong Zhang; Dian Zhua; Zhao Liua (CoRR, 2024)

ZS-SRT: An efficient zero-shot super-resolution training method for Neural Radiance Fields. - Xiang Feng; Yongbo He; Yubo Wang; Chengkai Wang; Zhenzhong Kuang; Jiajun Ding; Feiwei Qin; Jun Yu 002; Jianping Fan 001 (Neurocomputing, 2024)

Confidence correction for trained graph convolutional networks. - Junqing Yuan; Huanlei Guo; Chenyi Zhou; Jiajun Ding; Zhenzhong Kuang; Zhou Yu 001; Yuan Liu (Pattern Recognit., 2024)

Understanding the Willingness to Use In-Vehicle Interactive Displays: A Hybrid Model and Cross-Cultural Analysis. - Qin Yang; Jiajun Ding; Dian Zhu (HCI (17), 2025)

Texture-aware 3D Gaussian Splatting for sparse view reconstructions. - Xinyuan Hu; Changyue Shi; Chuxiao Yang; Minghao Chen; Xiaoling Gu; Jiajun Ding; Jifa He; Jianping Fan 007 (Appl. Soft Comput., 2025)

MMGS: Multi-Model Synergistic Gaussian Splatting for Sparse View Synthesis. - Changyue Shi; Chuxiao Yang; Xinyuan Hu; Yan Yang; Jiajun Ding; Min Tan (Image Vis. Comput., 2025)

Imp: Highly Capable Large Multimodal Models for Mobile Devices. - Zhenwei Shao; Zhou Yu 001; Jun Yu 002; Xuecheng Ouyang; Lihao Zheng; Zhenbiao Gai; Mingyang Wang; Zhenzhong Kuang; Jiajun Ding (IEEE Trans. Multim., 2025)

Collaborative neural radiance fields for novel view synthesis. - Junqing Yuan; Mengting Fan; Zhenyang Liu; Tongxuan Han; Zhenzhong Kuang; Chihao Pan; Jiajun Ding (Vis. Comput., 2025)

DE-NAF: decoupled neural attenuation fields for sparse-view CBCT reconstruction. - Tianning Zhao; Guoping Ding; Zhenyang Liu; Peng Hu; Hangping Wei; Min Tan 005; Jiajun Ding (Pattern Anal. Appl., 2025)

LymphAtlas- A Unified Multimodal Lymphoma Imaging Repository Delivering AI-Enhanced Diagnostic Insight. - Jiajun Ding; Beiyao Zhu; Xiaosheng Liu; Lishen Zhang; Zhao Liu (CoRR, 2025)

Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation. - Yan Yang; Xiaoxing You; Ke Zhang; Zhenqi Fu; Xianyun Wang; Jiajun Ding; Jiamei Sun; Zhou Yu 001; Qingming Huang; Weidong Han 001; Jun Yu 002 (IEEE Trans. Medical Imaging, 2025)

VC-GS: view-consistent deblurring Gaussian splatting via alternating branch optimization. - Qida Cao; Jiajun Ding; Zhenyang Liu; Zhenzhong Kuang; Yijie Shao; Yilan Shen (Vis. Comput., 2025)