| Graph Neural Networks in Computer Vision S Tang, W Zhang, Z Mu, K Shen, J Li, J Li, L Wu Graph Neural Networks: Foundations, Frontiers, and Applications, 447-462, 2022 | 479* | 2022 |
| Boostmis: Boosting medical image semi-supervised learning with adaptive pseudo labeling and informative active annotation W Zhang, L Zhu, J Hallinan, S Zhang, A Makmur, Q Cai, BC Ooi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 114 | 2022 |
| DeVRF: Fast Deformable Voxel Radiance Fields for Dynamic Scenes JW Liu, YP Cao, W Mao, W Zhang, DJ Zhang, J Keppo, Y Shan, X Qie, ... NeurIPS 2022, 2022 | 110 | 2022 |
| Frame augmented alternating attention network for video question answering W Zhang, S Tang, Y Cao, S Pu, F Wu, Y Zhuang IEEE Transactions on Multimedia 22 (4), 1032-1041, 2020 | 72 | 2020 |
| Fine-tuning multimodal llms to follow zero-shot demonstrative instructions J Li, K Pan, Z Ge, M Gao, W Ji, W Zhang, TS Chua, S Tang, H Zhang, ... The Twelfth International Conference on Learning Representations, 2023 | 69 | 2023 |
| Duet: A tuning-free device-cloud collaborative parameters generation framework for efficient device model generalization Z Lv, W Zhang, S Zhang, K Kuang, F Wang, Y Wang, Z Chen, T Shen, ... Proceedings of the ACM Web Conference 2023, 3077-3085, 2023 | 57 | 2023 |
| Consensus graph representation learning for better grounded image captioning W Zhang, H Shi, S Tang, J Xiao, Q Yu, Y Zhuang AAAI 2021, 2021 | 54 | 2021 |
| MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning W Zhang, H Shi, J Guo, S Zhang, Q Cai, J Li, S Luo, Y Zhuang AAAI 2022, 2022 | 42 | 2022 |
| Improved productivity using deep learning–assisted reporting for lumbar spine MRI DSW Lim, A Makmur, L Zhu, W Zhang, AJL Cheng, DSY Sia, SE Eide, ... Radiology 305 (1), 160-166, 2022 | 38 | 2022 |
| End-to-End Modeling via Information Tree for One-Shot Natural Language Spatial Video Grounding M Li, T Wang, H Zhang, S Zhang, Z Zhao, J Miao, W Zhang, W Tan, ... ACL 2022, 2022 | 38 | 2022 |
| Winner: Weakly-supervised hierarchical decomposition and alignment for spatio-temporal video grounding M Li, H Wang, W Zhang, J Miao, Z Zhao, S Zhang, W Ji, F Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 36 | 2023 |
| Are binary annotations sufficient? video moment retrieval via hierarchical uncertainty-based active learning W Ji, R Liang, Z Zheng, W Zhang, S Zhang, J Li, M Li, T Chua Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 36 | 2023 |
| Relational graph learning for grounded video description generation W Zhang, XE Wang, S Tang, H Shi, H Shi, J Xiao, Y Zhuang, WY Wang ACM MM 2020, 3807-3828, 2020 | 35 | 2020 |
| Tell and guess: cooperative learning for natural image caption generation with hierarchical refined attention W Zhang, S Tang, J Su, J Xiao, Y Zhuang Multimedia Tools and Applications 80, 16267-16282, 2021 | 29 | 2021 |
| HERO: HiErarchical spatio-tempoRal reasOning with Contrastive Action Correspondence for End-to-End Video Object Grounding M Li, T Wang, H Zhang, S Zhang, Z Zhao, W Zhang, J Miao, S Pu, F Wu ACM MM 2022, 2022 | 28 | 2022 |
| VPModel: High-fidelity product simulation in a virtual-physical environment X Min, W Zhang, S Sun, N Zhao, S Tang, Y Zhuang IEEE transactions on visualization and computer graphics 25 (11), 3083-3093, 2019 | 28 | 2019 |
| Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models J Li, M Gao, L Wei, S Tang, W Zhang, M Li, W Ji, Q Tian, TS Chua, ... Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023, 2023 | 26 | 2023 |
| Intelligent model update strategy for sequential recommendation Z Lv, W Zhang, Z Chen, S Zhang, K Kuang Proceedings of the ACM on Web Conference 2024, 3117-3128, 2024 | 24 | 2024 |
| Application of artificial intelligence methods for imaging of spinal metastasis W Ong, L Zhu, W Zhang, T Kuah, DSW Lim, XZ Low, YL Thian, EC Teo, ... Cancers 14 (16), 4025, 2022 | 23 | 2022 |
| Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding J Li, S Tang, L Zhu, W Zhang, Y Yang, TS Chua, F Wu, Y Zhuang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 21 | 2023 |
Siliang TangProfessor of Computer Science, Zhejiang UniversityEmail verificata su zju.edu.cn
