| 2026 | AAAI | GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection. | Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo |
| 2026 | AAAI | Tracking and Segmenting Anything in Any Modality. | Tianlu Zhang, Qiang Zhang, Guiguang Ding, Jungong Han |
| 2025 | AAAI | Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal. | Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding |
| 2025 | AAAI | Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning. | Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding |
| 2025 | ACL | Extending LLM Context Window with Adaptive Grouped Positional Encoding: A Training-Free Method. | Xinhao Xu, Jiaxin Li, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding |
| 2025 | COLING | Breaking the Stage Barrier: A Novel Single-Stage Approach to Long Context Extension for Large Language Models. | Haoran Lian, Junmin Chen, Wei Huang, Yizhe Xiong, Wenping Hu, Guiguang Ding, Hui Chen, Jianwei Niu, Zijia Lin, Fuzheng Zhang, Di Zhang |
| 2025 | CVPR | Bayesian Prompt Flow Learning for Zero-Shot Anomaly Detection. | Zhen Qu, Xian Tao, Xinyi Gong, Shichen Qu, Qiyu Chen, Zhengtao Zhang, Xingang Wang, Guiguang Ding |
| 2025 | CVPR | DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval. | Leqi Shen, Guoqiang Gong, Tianxiang Hao, Tao He, Yifeng Zhang, Pengzhang Liu, Sicheng Zhao, Jungong Han, Guiguang Ding |
| 2025 | CVPR | LSNet: See Large, Focus Small. | Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding |
| 2025 | CVPR | HEIE: MLLM-Based Hierarchical Explainable AIGC Image Implausibility Evaluator. | Fan Yang, Ru Zhen, Jianing Wang, Yanhao Zhang, Haoxiang Chen, Haonan Lu, Sicheng Zhao, Guiguang Ding |
| 2025 | EMNLP | Fast Quiet-STaR: Thinking Without Thought Tokens. | Wei Huang, Yizhe Xiong, Xin Ye, Zhijie Deng, Hui Chen, Zijia Lin, Guiguang Ding |
| 2025 | EMNLP | DSMoE: Matrix-Partitioned Experts with Dynamic Routing for Computation-Efficient Dense LLMs. | Minxuan Lv, Zhenpeng Su, Leiyu Pan, Yizhe Xiong, Zijia Lin, Hui Chen, Wei Zhou, Jungong Han, Guiguang Ding, Wenwu Ou, Di Zhang, Kun Gai, Songlin Hu |
| 2025 | EMNLP | AdaTP: Attention-Debiased Token Pruning for Video Large Language Models. | Fengyuan Sun, Leqi Shen, Hui Chen, Sicheng Zhao, Jungong Han, Guiguang Ding |
| 2025 | EMNLP | Temporal Scaling Law for Large Language Models. | Yizhe Xiong, Xiansheng Chen, Xin Ye, Hui Chen, Zijia Lin, Haoran Lian, Zhenpeng Su, Wei Huang, Jianwei Niu, Jungong Han, Guiguang Ding |
| 2025 | ICASSP | LBPE: Long-token-first Tokenization to Improve Large Language Models. | Haoran Lian, Yizhe Xiong, Zijia Lin, Jianwei Niu, Shasha Mo, Hui Chen, Peng Liu, Guiguang Ding |
| 2025 | ICCV | DictAS: A Framework for Class-Generalizable Few-Shot Anomaly Segmentation via Dictionary Lookup. | Zhen Qu, Xian Tao, Xinyi Gong, Shichen Qu, Xiaopei Zhang, Xingang Wang, Fei Shen, Zhengtao Zhang, Mukesh Prasad, Guiguang Ding |
| 2025 | ICCV | YOLOE: Real-Time Seeing Anythi. | Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding |
| 2025 | ICLR | TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval. | Leqi Shen, Tianxiang Hao, Tao He, Sicheng Zhao, Yifeng Zhang, Pengzhang Liu, Yongjun Bao, Guiguang Ding |
| 2025 | IJCAI | Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization. | Tianxiang Hao, Hui Chen, Guiguang Ding |
| 2025 | NAACL | CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. | Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding |
| 2025 | NAACL | Mitigating Hallucinations in Multi-modal Large Language Models via Image Token Attention-Guided Decoding. | Xinhao Xu, Hui Chen, Mengyao Lyu, Sicheng Zhao, Yizhe Xiong, Zijia Lin, Jungong Han, Guiguang Ding |
| 2024 | AAAI | Debiased Novel Category Discovering and Localization. | Juexiao Feng, Yuhong Yang, Yanchun Xie, Yaqian Li, Yandong Guo, Yuchen Guo, Yuwei He, Liuyu Xiang, Guiguang Ding |
| 2024 | AAAI | Geometry-Guided Domain Generalization for Monocular 3D Object Detection. | Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding |
| 2024 | CVPR | One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications. | Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding |
| 2024 | CVPR | Rep ViT: Revisiting Mobile CNN From ViT Perspective. | Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding |
| 2024 | ECAI | Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection. | Hui-Yue Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Liejun Wang, Jungong Han, Guiguang Ding |
| 2024 | ECCV | Quantized Prompt for Efficient Generalization of Vision-Language Models. | Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding |
| 2024 | ECCV | Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence. | Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding |
| 2024 | ECCV | VCP-CLIP: A Visual Context Prompting Model for Zero-Shot Anomaly Segmentation. | Zhen Qu, Xian Tao, Mukesh Prasad, Fei Shen, Zhengtao Zhang, Xinyi Gong, Guiguang Ding |
| 2024 | ECCV | PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation. | Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding |
| 2024 | IJCAI | TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks. | Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding |
| 2024 | IJCAI | More is Better: Deep Domain Adaptation with Multiple Sources. | Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding |
| 2024 | NAACL | MiLe Loss: a New Loss for Mitigating the Bias of Learning Difficulties in Generative Language Models. | Zhenpeng Su, Zijia Lin, Bai Xue, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu |
| 2023 | CVPR | Box-Level Active Detection. | Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding |
| 2023 | ICCV | Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. | Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding |
| 2023 | ICLR | Re-parameterizing Your Optimizers rather than Architectures. | Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Kaiqi Huang, Jungong Han, Guiguang Ding |
| 2023 | ICLR | Consolidator: Mergable Adapter with Group Connections for Visual Adaptation. | Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding |
| 2022 | AAAI | SECRET: Self-Consistent Pseudo Label Refinement for Unsupervised Domain Adaptive Person Re-identification. | Tao He, Leqi Shen, Yuchen Guo, Guiguang Ding, Zhenhua Guo |
| 2022 | AAAI | ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising. | Liuyu Xiang, Jundong Zhou, Jirui Liu, Zerun Wang, Haidong Huang, Jie Hu, Jungong Han, Yuchen Guo, Guiguang Ding |
| 2022 | CVPR | Scaling Up Your Kernels to 3131: Revisiting Large Kernel Design in CNNs. | Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2022 | CVPR | RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. | Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2021 | AAAI | Automated Model Design and Benchmarking of Deep Learning Models for COVID-19 Detection with Chest CT Scans. | Xin He, Shihao Wang, Xiaowen Chu, Shaohuai Shi, Jiangping Tang, Xin Liu, Chenggang Yan, Jiyong Zhang, Guiguang Ding |
| 2021 | CVPR | Diverse Branch Block: Building a Convolution as an Inception-Like Unit. | Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2021 | CVPR | RepVGG: Making VGG-Style ConvNets Great Again. | Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun |
| 2021 | ICCV | ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. | Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding |
| 2020 | AAAI | Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. | Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao |
| 2020 | AAAI | Shallow Feature Based Dense Attention Network for Crowd Counting. | Yunqi Miao, Zijia Lin, Guiguang Ding, Jungong Han |
| 2020 | CVPR | IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval. | Hui Chen, Guiguang Ding, Xudong Liu, Zijia Lin, Ji Liu, Jungong Han |
| 2020 | CVPR | PANDA: A Gigapixel-Level Human-Centric Video Dataset. | Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang |
| 2020 | ECCV | Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-Tailed Classification. | Liuyu Xiang, Guiguang Ding, Jungong Han |
| 2019 | AAAI | GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition. | Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Brje Karlsson |
| 2019 | AAAI | Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. | Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai |
| 2019 | AAAI | Adaptive Region Embedding for Text Classification. | Liuyu Xiang, Xiaoming Jin, Lan Yi, Guiguang Ding |
| 2019 | AAAI | CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions. | Sicheng Zhao, Chuang Lin, Pengfei Xu, Sendong Zhao, Yuchen Guo, Ravi Krishna, Guiguang Ding, Kurt Keutzer |
| 2019 | AAAI | Recurrent Attention Model for Pedestrian Attribute Recognition. | Xin Zhao, Liufang Sang, Guiguang Ding, Jungong Han, Na Di, Chenggang Yan |
| 2019 | CVPR | Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. | Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han |
| 2019 | ICCV | ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. | Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han |
| 2019 | ICML | Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. | Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan |
| 2019 | IJCAI | Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. | Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai |
| 2019 | IJCAI | Landmark Selection for Zero-shot Learning. | Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai |
| 2019 | IJCAI | Low Shot Box Correction for Weakly Supervised Object Detection. | Tianxiang Pan, Bin Wang, Guiguang Ding, Jungong Han, Jun-Hai Yong |
| 2019 | IJCAI | Incremental Few-Shot Learning for Pedestrian Attribute Recognition. | Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li |
| 2018 | AAAI | Temporal-Difference Learning With Sampling Baseline for Image Captioning. | Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han |
| 2018 | AAAI | Auto-Balanced Filter Pruning for Efficient Convolutional Neural Networks. | Xiaohan Ding, Guiguang Ding, Jungong Han, Sheng Tang |
| 2018 | AAAI | Zero-Shot Learning With Attribute Selection. | Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang |
| 2018 | AAAI | On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. | Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han |
| 2018 | BMVC | Shadow Detection Using Robust Texture Learning. | Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong |
| 2018 | IJCAI | Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning. | Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han |
| 2018 | IJCAI | Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. | Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang |
| 2018 | IJCAI | Automatic Gating of Attributes in Deep Structure. | Xiaoming Jin, Tao He, Cheng Wan, Lan Yi, Guiguang Ding, Dou Shen |
| 2018 | IJCAI | Unsupervised Deep Hashing via Binary Latent Factor Models for Large-scale Cross-modal Retrieval. | Gengshen Wu, Zijia Lin, Jungong Han, Li Liu, Guiguang Ding, Baochang Zhang, Jialie Shen |
| 2018 | IJCAI | Affective Image Content Analysis: A Comprehensive Survey. | Sicheng Zhao, Guiguang Ding, Qingming Huang, Tat-Seng Chua, Bjrn W. Schuller, Kurt Keutzer |
| 2018 | IJCAI | Personality-Aware Personalized Emotion Recognition from Physiological Signals. | Sicheng Zhao, Guiguang Ding, Jungong Han, Yue Gao |
| 2018 | IJCAI | Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. | Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin |
| 2018 | IJCAI | Where to Prune: Using LSTM to Guide End-to-end Pruning. | Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang |
| 2017 | AAAI | Reference Based LSTM for Image Captioning. | Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han |
| 2017 | AAAI | Active Learning with Cross-Class Similarity Transfer. | Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han |
| 2017 | AAAI | Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. | Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| 2017 | AAAI | Fully Convolutional Neural Networks with Full-Scale-Features for Semantic Segmentation. | Tianxiang Pan, Bin Wang, Guiguang Ding, Jun-Hai Yong |
| 2017 | CVPR | From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis. | Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han |
| 2017 | IJCAI | SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing. | Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| 2017 | IJCAI | Synthesizing Samples for Zero-shot Learning. | Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao |
| 2017 | IJCAI | Unsupervised Deep Video Hashing with Balanced Rotation. | Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao |
| 2017 | IJCAI | Approximating Discrete Probability Distribution of Image Emotions by Multi-Modal Features Fusion. | Sicheng Zhao, Guiguang Ding, Yue Gao, Jungong Han |
| 2017 | IJCAI | TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets. | Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao |
| 2016 | AAAI | Transductive Zero-Shot Recognition via Shared Model Space Learning. | Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang |
| 2016 | AAAI | Active Learning with Cross-Class Knowledge Transfer. | Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin |
| 2016 | AAAI | Multi-Domain Active Learning for Recommendation. | Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang |
| 2016 | BigData | Model Transformation and Data Migration from Relational Database to MongoDB. | Tianyu Jia, Xiaomeng Zhao, Zheng Wang, Dahan Gong, Guiguang Ding |
| 2016 | IJCAI | Semi-Supervised Active Learning with Cross-Class Sample Transfer. | Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang |
| 2016 | IJCAI | Robust Iterative Quantization for Efficient ℓ | Yuchen Guo, Guiguang Ding, Jungong Han, Xiaoming Jin |
| 2016 | PAKDD | Image Representation Optimization Based on Locally Aggregated Descriptors. | Shijiang Chen, Guiguang Ding, Chenxiao Li, Yuchen Guo |
| 2015 | AAAI | Learning Predictable and Discriminative Attributes for Visual Recognition. | Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang |
| 2015 | AAAI | Gaussian Cardinality Restricted Boltzmann Machines. | Cheng Wan, Xiaoming Jin, Guiguang Ding, Dou Shen |
| 2015 | CVPR | Semantics-preserving hashing for cross-view retrieval. | Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang |
| 2014 | APWEB | Matrix Factorization Meets Cosine Similarity: Addressing Sparsity Problem in Collaborative Filtering Recommender System. | Hailong Wen, Guiguang Ding, Cong Liu, Jianming Wang |
| 2014 | BigData | Inherent Replica Inconsistency in Cassandra. | Xiangdong Huang, Jianmin Wang, Jian Bai, Guiguang Ding, Mingsheng Long |
| 2014 | CVPR | Collective Matrix Factorization Hashing for Multimodal Data. | Guiguang Ding, Yuchen Guo, Jile Zhou |
| 2014 | CVPR | Transfer Joint Matching for Unsupervised Domain Adaptation. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu |
| 2014 | ICML | Multi-label Classification via Feature-aware Implicit Label Space Encoding. | Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang |
| 2014 | SIGIR | Latent semantic sparse hashing for cross-modal similarity search. | Jile Zhou, Guiguang Ding, Yuchen Guo |
| 2013 | CVPR | Image Tag Completion via Image-Specific and Tag-Specific Linear Sparse Reconstructions. | Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Xiaojun Ye |
| 2013 | CVPR | Transfer Sparse Coding for Robust Image Representation. | Mingsheng Long, Guiguang Ding, Jianmin Wang, Jiaguang Sun, Yuchen Guo, Philip S. Yu |
| 2013 | ICCV | Transfer Feature Learning with Joint Distribution Adaptation. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Jiaguang Sun, Philip S. Yu |
| 2013 | ICIP | Multi-source image auto-annotation. | Zijia Lin, Guiguang Ding, Mingqing Hu |
| 2013 | PAKDD | Twin Bridge Transfer Learning for Sparse Collaborative Filtering. | Jiangfeng Shi, Mingsheng Long, Qiang Liu, Guiguang Ding, Jianmin Wang |
| 2012 | AAAI | Transfer Learning with Graph Co-Regularization. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang |
| 2012 | CIKM | Automatic image annotation using tag-related random search over visual neighbors. | Zijia Lin, Guiguang Ding, Mingqing Hu, Jianmin Wang, Jiaguang Sun |
| 2012 | SDM | Dual Transfer Learning. | Mingsheng Long, Jianmin Wang, Guiguang Ding, Wei Cheng, Xiang Zhang, Wei Wang |
| 2011 | SIGIR | Image annotation based on recommendation model. | Zijia Lin, Guiguang Ding, Jianmin Wang |
| 2010 | ICDM | Augmenting Chinese Online Video Recommendations by Using Virtual Ratings Predicted by Review Sentiment Classification. | Weishi Zhang, Guiguang Ding, Li Chen, Chunping Li |
| 2010 | ISM | Ring Fingerprint Based on Interest Points for Video Copy Detection. | Guiguang Ding, Rongxian Nie |
| 2009 | ICDM | Automatic Image Annotations by Mining Web Image Data. | Guiguang Ding, Jianmin Wang, Na Xu, Lu Zhang |
| 2008 | ISDA | A Novel Digital Watermarking Method for New Viewpoint Video Based on Depth Map. | Ning Zhu, Guiguang Ding, Jianmin Wang |
| 2007 | ICASSP | Multi-View Images Coding Based on Multiterminal Source Coding. | Feng Yang, Qionghai Dai, Guiguang Ding |
| 2007 | MMM | A Distributed Video Coding Scheme Based on Denoising Techniques. | Guiguang Ding, Feng Yang |
| 2005 | CIS | Motion-Compensated 3D Wavelet Video Coding Based on Adaptive Temporal Lifting Filter Implementation. | Guiguang Ding, Qionghai Dai, Wenli Xu |
| 2005 | MMSP | Affine-Invariant Image Retrieval Based on Wavelet Interest Points. | Guiguang Ding, Qionghai Dai, Wenli Xu, Feng Yang |
| 2005 | MMSP | Adaptive Key Frame Selection Wyner-Ziv Video Coding. | Feng Yang, Guiguang Ding, Qionghai Dai, Yaguang Yin |
| 2004 | ICIG | A line-diamond parallel search algorithm for block motion estimation. | Guiguang Ding, Qionghai Dai |