📝 学术论文

Dan Fu, Wai Keung Wong, Lunke Fei, Tingting Chai, Yuzhu Ji, Qinghua Zhu. Coarse-To-Fine Graph Reasoning for 3D Hand Mesh Reconstruction. IEEE International Conference on Multimedia and Expo, ICME 2025, Nantes, France, June 30 - July 4, 2025, 1–6, 2025.

Yiqun Zhang, Sen Feng, Pengkai Wang, Zexi Tan, Xiaopeng Luo, Yuzhu Ji, Rong Zou, Yiu-Ming Cheung. Learning Self-Growth Maps for Fast and Accurate Imbalanced Streaming Data Clustering. IEEE Trans. Neural Networks Learn. Syst., 36(9), 16049–16061, 2025.

Yiqun Zhang, Zhanpei Huang, Mingjie Zhao, Chuyao Zhang, Yang Lu, Yuzhu Ji, Fangqing Gu, An Zeng. Learning Unbiased Cluster Descriptors for Interpretable Imbalanced Concept Drift Detection. IEEE Transactions on Emerging Topics in Computational Intelligence, Early Access, 2025.

Yuzhu Ji, Chuanxia Zheng, Tat-Jen Cham. One-Shot Human Motion Transfer via Occlusion-Robust Flow Prediction and Neural Texturing. IEEE Trans. Multim., 27, 3939–3952, 2025.

Sen Feng, Mingjie Zhao, Zhanpei Huang, Yuzhu Ji, Yiqun Zhang, Yiu-Ming Cheung. Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025, 1–5, 2025.

Yuzhu Ji, Mingshan Sun, Jianyang Shi, Xiaoke Jiang, Yiqun Zhang, Haijun Zhang. SeqPose: An End-to-End Framework to Unify Single-frame and Video-based RGB Category-Level Pose Estimation. Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2025, Montreal, Canada, August 16-22, 2025, 1224–1232, 2025.

Yuzhu Ji, Wei Hu, Guoji Gan, Zhiquan Long, Yiqun Zhang, An Zeng, Haijun Zhang. SMACNet: A Unified Framework for One-Shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. IEEE Trans. Consum. Electron., 1-13, Early Access, 2025.

Wei Hu, Yuzhu Ji, An Zeng, Dan Pan, Yiqun Zhang, Haijun Zhang. SmartNet: One-shot Talking Head Synthesis via Subtle Motion and Appearance Compensation. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025, 1–5, 2025.

Chuyao Zhang, Xinxi Chen, Zexi Tan, Fangqing Gu, Yuzhu Ji, Yiqun Zhang. Towards Clustering of Incomplete Mixed-Attribute Data. Expert Syst., 42(7), 2025.

Yuzhu Ji, Mingshan Sun, Yiqun Zhang, Haijun Zhang. CPNet: 3D Semantic Relation and Geometry Context Prior Network for Multi-Organ Segmentation. ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024), 392, 153–160, 2024.

Xiaopeng Luo, Yiqun Zhang, Yuzhu Ji, Peng Liu, Taoting Xiao. Efficient Topology-Driven Clustering for Imbalanced Streaming Biomedical Data Analysis. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 2262–2267, 2024.

Qingsheng Chen, Mingjie Zhao, Yuzhu Ji, Xiaopeng Luo, Yiqun Zhang, Yue Zhang. MGOD: Multi-Granular Outlier Detection with Clustlier Analysis. IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024, 3105–3110, 2024.

Junyang Chen, Yuzhu Ji, Rong Zou, Yiqun Zhang, Yiu-ming Cheung. QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering. Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024, 297–306, 2024.

Shiting He, Yuzhu Ji, Yiqun Zhang, An Zeng, Dan Pan, Jing Lin, Xiaobo Zhang. CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation. Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V, 14429, 431–442, 2023.

Zhipeng Zhang, Yiqun Zhang, An Zeng, Dan Pan, Yuzhu Ji, Zhipeng Zhang, Jing Lin. Time-Series Data Imputation via Realistic Masking-Guided Tri-Attention Bi-GRU. ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland - Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023), 372, 3074–3082, 2023.

Mingjie Zhao, Yiqun Zhang, Yuzhu Ji, Yang Lu. Unsupervised Concept Drift Detection via Imbalanced Cluster Discriminator Learning. Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III, 14427, 31–43, 2023.

Lang Zhao, Yiqun Zhang, Yuzhu Ji, An Zeng, Fangqing Gu, Xiaopeng Luo. Heterogeneous Drift Learning: Classification of Mix-Attribute Data with Concept Drifts. 9th IEEE International Conference on Data Science and Advanced Analytics, DSAA 2022, Shenzhen, China, October 13-16, 2022, 1–10, 2022.

Yuzhu Ji, Haijun Zhang, Feng Gao, Haofei Sun, Haokun Wei, Nan Wang, Biao Yang. LGCNet: A local-to-global context-aware feature augmentation network for salient object detection. Inf. Sci., 584, 399–416, 2022.

Haijun Zhang, Mingshan Sun, Qun Li, Linlin Liu, Ming Liu, Yuzhu Ji. An empirical study of multi-scale object detection in high resolution UAV images. Neurocomputing, 421, 173–182, 2021.

Yuzhu Ji, Haijun Zhang, Zequn Jie, Lin Ma, Q. M. Jonathan Wu. CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection. IEEE Trans. Neural Networks Learn. Syst., 32(6), 2676–2690, 2021.

Yuzhu Ji, Haijun Zhang, Zhao Zhang, Ming Liu. CNN-based encoder-decoder networks for salient object detection: A comprehensive review and recent advances. Inf. Sci., 546, 835–857, 2021.

Feng Gao, Qun Li, Yuzhu Ji, Shengchang Ji, Jie Guo, Haofei Sun, Yang Liu, Simeng Feng, Haokun Wei, Nan Wang, Biao Yang, Haijun Zhang. EWNet: An early warning classification framework for smart grid based on local-to-global perception. Neurocomputing, 443, 199–212, 2021.

Feng Gao, Shengchang Ji, Jie Guo, Qun Li, Yuzhu Ji, Yang Liu, Simeng Feng, Haokun Wei, Nan Wang, Biao Yang. ID-Net: an improved mask R-CNN model for intrusion detection under power grid surveillance. Neural Comput. Appl., 33(15), 9241–9257, 2021.

Haijun Zhang, Han Guo, Xinghao Wang, Yuzhu Ji, Q. M. Jonathan Wu. Clothescounter: A framework for star-oriented clothes mining from videos. Neurocomputing, 377, 38–48, 2020.

Haijun Zhang, Donghai Li, Yuzhu Ji, Haibin Zhou, Weiwei Wu, Kai Liu. Toward New Retail: A Benchmark Dataset for Smart Unmanned Vending Machines. IEEE Trans. Ind. Informatics, 16(12), 7722–7731, 2020.

Yuzhu Ji, Haijun Zhang, Kuo-Kun Tseng, Tommy W. S. Chow, Q. M. Jonathan Wu. Graph model-based salient object detection using objectness and multiple saliency cues. Neurocomputing, 323, 188–202, 2019.

Linlin Liu, Haijun Zhang, Yuzhu Ji, Q. M. Jonathan Wu. Toward AI fashion design: An Attribute-GAN model for clothing match. Neurocomputing, 341, 156–167, 2019.

Yuzhu Ji, Haijun Zhang, Q. M. Jonathan Wu. Saliency detection via conditional adversarial image-to-image network. Neurocomputing, 316, 357–368, 2018.

Yuzhu Ji, Haijun Zhang, Q. M. Jonathan Wu. Salient object detection via multi-scale attention CNN. Neurocomputing, 322, 130–140, 2018.

Haijun Zhang, Yuzhu Ji, Wang Huang, Linlin Liu. Sitcom-Stars Oriented Video Advertising via Clothing Retrieval. Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Gold Coast, QLD, Australia, May 21-24, 2018, Proceedings, Part II, 10828, 638–646, 2018.

Haijun Zhang, Jingxuan Li, Yuzhu Ji, Heng Yue. Understanding Subtitles by Character-Level Sequence-to-Sequence Learning. IEEE Trans. Ind. Informatics, 13(2), 616–624, 2017.

Haijun Zhang, Yuzhu Ji, Jingxuan Li, Yunming Ye. A Triple Wing Harmonium Model for Movie Recommendation. IEEE Trans. Ind. Informatics, 12(1), 231–239, 2016.