Donglin Di

According to our database, Donglin Di authored at least 64 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Mode Hypergraph Neural Network.

Shuyi Ji, Yifan Feng, Donglin Di, Shihui Ying, Yue Gao

IEEE Trans. Neural Networks Learn. Syst., August, 2025

PhysGM: Large Physical Gaussian Model for Feed-Forward 4D Synthesis.

Chunji Lv, Zequn Chen, Donglin Di, Weinan Zhang, Hao Li, Wei Chen, Changsheng Li

CoRR, August, 2025

DiTalker: A Unified DiT-based Framework for High-Quality and Speaking Styles Controllable Portrait Animation.

He Feng, Yongjia Ma, Donglin Di, Lei Fan, Tonghua Su, Xiangqian Wu

CoRR, August, 2025

MoCA: Identity-Preserving Text-to-Video Generation via Mixture of Cross Attention.

Qi Xie, Yongjia Ma, Donglin Di, Xuehao Gao, Xun Yang

CoRR, August, 2025

LLaPa: A Vision-Language Model Framework for Counterfactual-Aware Procedural Planning.

Shibo Sun, Xue Li, Donglin Di, Mingjie Wei, Lanshun Nie, Wei-Nan Zhang, Dechen Zhan, Yang Song, Lei Fan

CoRR, July, 2025

SAGE: A Visual Language Model for Anomaly Detection via Fact Enhancement and Entropy-aware Alignment.

Guoxin Zang, Xue Li, Donglin Di, Lanshun Nie, Dechen Zhan, Yang Song, Lei Fan

CoRR, July, 2025

QR-LoRA: Efficient and Disentangled Fine-tuning via QR Decomposition for Customized Generation.

Jiahui Yang, Yongjia Ma, Donglin Di, Hao Li, Wei Chen, Yan Xie, Jianxun Cui, Xun Yang, Wangmeng Zuo

CoRR, July, 2025

Spatially Gene Expression Prediction using Dual-Scale Contrastive Learning.

Mingcheng Qu, Yuncong Wu, Donglin Di, Yue Gao, Tonghua Su, Yang Song, Lei Fan

CoRR, June, 2025

Memory-Augmented Incomplete Multimodal Survival Prediction via Cross-Slide and Gene-Attentive Hypergraph Learning.

Mingcheng Qu, Guang Yang, Donglin Di, Yue Gao, Tonghua Su, Yang Song, Lei Fan

CoRR, June, 2025

Hi-VAE: Efficient Video Autoencoding with Global and Detailed Motion.

Huaize Liu, Wenzhang Sun, Qiyuan Zhang, Donglin Di, Biao Gong, Hao Li, Chen Wei, Changqing Zou

CoRR, June, 2025

ChronoTailor: Harnessing Attention Guidance for Fine-Grained Video Virtual Try-On.

Jinjuan Wang, Wenzhang Sun, Ming Li, Yun Zheng, Fanyao Li, Zhulin Tao, Donglin Di, Hao Li, Wei Chen, Xianglin Huang

CoRR, June, 2025

On Weak-to-Strong Generalization and f-Divergence.

Wei Yao, Gengze Xu, Huayi Tang, Wenkai Yang, Donglin Di, Ziqiao Wang, Yong Liu

CoRR, June, 2025

GrainBrain: Multiview Identification and Stratification of Defective Grain Kernels.

Lei Fan, Dongdong Fan, Yiwen Ding, Yong Wu, Donglin Di, Maurice Pagnucco, Yang Song

IEEE Trans. Ind. Informatics, May, 2025

Hyper-3DG: Text-to-3D Gaussian Generation via Hypergraph.

Donglin Di, Jiahui Yang, Chaofan Luo, Zhou Xue, Wei Chen, Xun Yang, Yue Gao

Int. J. Comput. Vis., May, 2025

Hypergraph Tversky-Aware Domain Incremental Learning for Brain Tumor Segmentation with Missing Modalities.

Junze Wang, Lei Fan, Weipeng Jing, Donglin Di, Yang Song, Sidong Liu, Cong Cong

CoRR, May, 2025

Multimodal Cancer Survival Analysis via Hypergraph Learning with Cross-Modality Rebalance.

Mingcheng Qu, Guang Yang, Donglin Di, Tonghua Su, Yue Gao, Yang Song, Lei Fan

CoRR, May, 2025

Cluster-Driven Expert Pruning for Mixture-of-Experts Large Language Models.

Hongcheng Guo, Juntao Yao, Boyang Wang, Junjia Du, Shaosheng Cao, Donglin Di, Shun Zhang, Zhoujun Li

CoRR, April, 2025

Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow.

Yongjia Ma, Donglin Di, Xuan Liu, Xiaokai Chen, Lei Fan, Wei Chen, Tonghua Su

CoRR, March, 2025

Semantic Latent Motion for Portrait Video Generation.

Qiyuan Zhang, Chenyu Wu, Wenzhang Sun, Huaize Liu, Donglin Di, Wei Chen, Changqing Zou

CoRR, March, 2025

UniCP: A Unified Caching and Pruning Framework for Efficient Video Generation.

Wenzhang Sun, Qirui Hou, Donglin Di, Jiahui Yang, Yongjia Ma, Jianxun Cui

CoRR, February, 2025

Tuning-Free Long Video Generation via Global-Local Collaborative Diffusion.

Yongjia Ma, Junlin Chen, Donglin Di, Qi Xie, Lei Fan, Wei Chen, Xiaofei Gou, Na Zhao, Xun Yang

CoRR, January, 2025

TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Manipulation.

Chaofan Luo, Donglin Di, Xun Yang, Yongjia Ma, Zhou Xue, Wei Chen, Xiaofei Gou, Yebin Liu

IEEE Trans. Multim., 2025

ToCoAD: Two-Stage Contrastive Learning for Industrial Anomaly Detection.

Yun Liang, Zhiguang Hu, Junjie Huang, Donglin Di, Anyang Su, Lei Fan

IEEE Trans. Instrum. Meas., 2025

An Open-Set Semi-Supervised Contrastive Learning for Bearing Fault Diagnosis.

Wenxiao Cheng, Xue Li, Donglin Di, Xiaohe Wu, Lanshun Nie, Dechen Zhan, Lei Fan

IEEE Trans. Instrum. Meas., 2025

Hypergraph BiFormer for Semantic Segmentation of High-Resolution Remote Sensing Images.

Weipeng Jing, Wenjun Zhang, Donglin Di, Chao Li, Mahmoud Emam, Ajmal Mian

IEEE Trans. Geosci. Remote. Sens., 2025

Multi-modal hypergraph contrastive learning for medical image segmentation.

Weipeng Jing, Junze Wang, Donglin Di, Dandan Li, Yang Song, Lei Fan

Pattern Recognit., 2025

MoEE: Mixture of Emotion Experts for Audio-Driven Portrait Animation.

Huaize Liu, Wenzhang Sun, Donglin Di, Shibo Sun, Jiahui Yang, Changqing Zou, Hujun Bao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MANTA: A Large-Scale Multi-View and Visual-Text Anomaly Detection Dataset for Tiny Objects.

Lei Fan, Dongdong Fan, Zhiguang Hu, Yiwen Ding, Donglin Di, Kai Yi, Maurice Pagnucco, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors.

Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Wei Chen, Gouxiao Fei, Yang Song, Xiao Sun, Xun Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MV-VTON: Multi-View Virtual Try-On with Diffusion Models.

Haoyu Wang, Zhilu Zhang, Donglin Di, Shiliang Zhang, Wangmeng Zuo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Divide-Aggregate Heterogeneous Hypergraph for large-scale user intention detection.

Mingcheng Qu, Xianyang Song, Donglin Di, Tonghua Su

Knowl. Based Syst., 2024

UniAvatar: Taming Lifelike Audio-Driven Talking Head Generation with Comprehensive Motion and Lighting Control.

Wenzhang Sun, Xiang Li, Donglin Di, Zhuding Liang, Qiyuan Zhang, Hao Li, Wei Chen, Jianxun Cui

CoRR, 2024

Revitalizing Reconstruction Models for Multi-class Anomaly Detection via Class-Aware Contrastive Learning.

Lei Fan, Junjie Huang, Donglin Di, Anyang Su, Maurice Pagnucco, Yang Song

CoRR, 2024

TV-3DG: Mastering Text-to-3D Customized Generation with Visual Prompt.

Jiahui Yang, Donglin Di, Baorui Ma, Xun Yang, Yongjia Ma, Wenzhang Sun, Wei Chen, Jianxun Cui, Zhou Xue, Meng Wang, Yebin Liu

CoRR, 2024

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch.

Donglin Di, Weinan Zhang, Yue Zhang, Fanglin Wang

CoRR, 2024

FaceVid-1K: A Large-Scale High-Quality Multiracial Human Face Video Dataset.

Donglin Di, He Feng, Wenzhang Sun, Yongjia Ma, Hao Li, Wei Chen, Xiaofei Gou, Tonghua Su, Xun Yang

CoRR, 2024

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors.

Xiangchen Yin, Donglin Di, Lei Fan, Hao Li, Chen Wei, Xiaofei Gou, Yang Song, Xiao Sun, Xun Yang

CoRR, 2024

Real Face Video Animation Platform.

Xiaokai Chen, Xuan Liu, Donglin Di, Yongjia Ma, Wei Chen, Tonghua Su

CoRR, 2024

One-Shot Pose-Driving Face Animation Platform.

He Feng, Donglin Di, Yongjia Ma, Wei Chen, Tonghua Su

CoRR, 2024

TrAME: Trajectory-Anchored Multi-View Editing for Text-Guided 3D Gaussian Splatting Manipulation.

Chaofan Luo, Donglin Di, Yongjia Ma, Zhou Xue, Chen Wei, Xun Yang, Yebin Liu

CoRR, 2024

Hypergraph Multi-modal Large Language Model: Exploiting EEG and Eye-tracking Modalities to Evaluate Heterogeneous Responses for Video Understanding.

Minghui Wu, Chenxu Zhao, Anyang Su, Donglin Di, Tianyu Fu, Da An, Min He, Ya Gao, Meng Ma, Kun Yan, Ping Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Boundary-Guided Learning for Gene Expression Prediction in Spatial Transcriptomics.

Mingcheng Qu, Yuncong Wu, Donglin Di, Anyang Su, Tonghua Su, Yang Song, Lei Fan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing.

Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu

Frontiers Comput. Sci., December, 2023

Generating Hypergraph-Based High-Order Representations of Whole-Slide Histopathological Images for Survival Prediction.

Donglin Di, Changqing Zou, Yifan Feng, Haiyan Zhou, Rongrong Ji, Qionghai Dai, Yue Gao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Building Dialogue Understanding Models for Low-resource Language Indonesian from Scratch.

Donglin Di, Xianyang Song, Weinan Zhang, Yue Zhang, Fanglin Wang

ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

StfMLP: Spatiotemporal Fusion Multilayer Perceptron for Remote-Sensing Images.

Guangsheng Chen, Hailiang Lu, Donglin Di, Linhui Li, Mahmoud Emam, Weipeng Jing

IEEE Geosci. Remote. Sens. Lett., 2023

Dual attentional transformer for video visual relation prediction.

Mingcheng Qu, Ganlin Deng, Donglin Di, Jianxun Cui, Tonghua Su

Neurocomputing, 2023

Scene Style Text Editing.

Tonghua Su, Fuxiang Yang, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li

CoRR, 2023

Self-Supervised Cross-Language Scene Text Editing.

Fuxiang Yang, Tonghua Su, Xiang Zhou, Donglin Di, Zhongjie Wang, Songze Li

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image.

Donglin Di, Jun Zhang, Fuqiang Lei, Qi Tian, Yue Gao

IEEE Trans. Image Process., 2022

SERNet: Squeeze and Excitation Residual Network for Semantic Segmentation of High-Resolution Remote Sensing Images.

Xiaoyan Zhang, Linhui Li, Donglin Di, Jian Wang, Guangsheng Chen, Weipeng Jing, Mahmoud Emam

Remote. Sens., 2022

AGNet: An Attention-Based Graph Network for Point Cloud Classification and Segmentation.

Weipeng Jing, Wenjun Zhang, Linhui Li, Donglin Di, Guangsheng Chen, Jian Wang

Remote. Sens., 2022

Multi-Scale U-Shape MLP for Hyperspectral Image Classification.

Moule Lin, Weipeng Jing, Donglin Di, Guangsheng Chen, Houbing Song

IEEE Geosci. Remote. Sens. Lett., 2022

Context-Aware Attentional Graph U-Net for Hyperspectral Image Classification.

Moule Lin, Weipeng Jing, Donglin Di, Guangsheng Chen, Houbing Song

IEEE Geosci. Remote. Sens. Lett., 2022

Binary Neural Network for Multispectral Image Classification.

Weipeng Jing, Xu Zhang, Jian Wang, Donglin Di, Guangsheng Chen, Houbing Song

IEEE Geosci. Remote. Sens. Lett., 2022

GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains.

Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

geoGAT: Graph Model Based on Attention Mechanism for Geographic Text Classification.

Weipeng Jing, Xianyang Song, Donglin Di, Houbing Song

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2021

Hypergraph learning for identification of COVID-19 with CT imaging.

Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Bin Song, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

Medical Image Anal., 2021

2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging.

Donglin Di, Feng Shi, Fuhua Yan, Liming Xia, Zhanhao Mo, Zhongxiang Ding, Fei Shan, Shengrui Li, Ying Wei, Ying Shao, Miaofei Han, Yaozong Gao, He Sui, Yue Gao, Dinggang Shen

CoRR, 2020

Ranking-Based Survival Prediction on Histopathological Whole-Slide Images.

Donglin Di, Shengrui Li, Jun Zhang, Yue Gao

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Relation Understanding in Videos: A Grand Challenge Overview.

Xindi Shang, Junbin Xiao, Donglin Di, Tat-Seng Chua

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Annotating Objects and Relations in User-Generated Videos.

Xindi Shang, Donglin Di, Junbin Xiao, Yu Cao, Xun Yang, Tat-Seng Chua

Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019

Multiple Hypothesis Video Relation Detection.

Donglin Di, Xindi Shang, Weinan Zhang, Xun Yang, Tat-Seng Chua

Proceedings of the Fifth IEEE International Conference on Multimedia Big Data, 2019

A Neural Network Approach to Verb Phrase Ellipsis Resolution.

Weinan Zhang, Yue Zhang, Yuanxing Liu, Donglin Di, Ting Liu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019