Tian, Qi

Swin-Unet: Unet-like pure transformer for medical image segmentation

Cao, H., Wang, Y., Chen, J., Jiang, D., Zhang, X., Tian, Q., & Wang, M. (2023) · Lecture Notes in Computer Science

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 5,640

GhostNet: More Features From Cheap Operations

Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 5,222

CenterNet: Keypoint Triplets for Object Detection

Duan, K., Bai, S., Xie, L., Qi, H., Huang, Q., & Tian, Q. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 4,079

Accurate medium-range global weather forecasting with 3D neural networks

Bi, K., Xie, L., Zhang, H., Chen, X., Gu, X., & Tian, Q. (2023) · Nature

Meteorological Phenomena and SimulationsHydrological Forecasting Using AI

Cited by 1,670

The Unmanned Aerial Vehicle Benchmark: Object Detection and Tracking

Du, D., Qi, Y., Yu, H., Yang, Y., Duan, K., Li, G., Zhang, W., Huang, Q., & Tian, Q. (2018) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 1,099

AdderNet: Do We Really Need Multiplications in Deep Learning?

Chen, H., Wang, Y., Xu, C., Shi, B., Xu, C., Tian, Q., & Xu, C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsNeural Networks and Applications

Cited by 199

MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning

Zhao, H., Fu, Y., Kang, M., Tian, Q., Wu, F., & Li, X. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 115

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

Li, H., Ai, Q., Chen, J., Dong, Q., Wu, Y., Liu, Y., Chen, C., & Tian, Q. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Artificial Intelligence in LawInformation Retrieval and Search Behavior

Cited by 79

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

Yang, L., Jiang, H., Cai, R., Wang, Y., Song, S., Huang, G., & Tian, Q. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 71

Semi-Supervised Contrastive Learning With Similarity Co-Calibration

Zhang, Y., Zhang, X., Li, J., Qiu, R. C., Xu, H., & Tian, Q. (2023) · IEEE Transactions on Multimedia

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 67

Probabilistic Tree-of-thought Reasoning for Answering Knowledge-intensive Complex Questions

Cao, S., Zhang, J., Shi, J., Lv, X., Yao, Z., Tian, Q., Hou, L., & Li, J. (2023) · Findings of the Association for Computational Linguistics: EMNLP 2023

Topic ModelingInformation Retrieval and Search Behavior

Cited by 17