Ziqi Gu

Orcid: 0009-0003-5938-2621

According to our database1, Ziqi Gu authored at least 16 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Boosting Few-Shot Continual Learning via Self-Adaptive Evolution.
IEEE Trans. Image Process., 2026

From Noisy Candidates to Reliable Grounding in Weakly-Supervised Referring Expression Comprehension.
Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025
Semi-Supervised Building Footprint Extraction Using Debiased Pseudo-Labels.
IEEE Trans. Geosci. Remote. Sens., 2025

Adaptive exploration for few-shot incremental learning.
Knowl. Based Syst., 2025

Learn and Ensemble Bridge Adapters for Multi-domain Task Incremental Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Remote Sensing for Building Energy Efficiency Assessment: A Multi-modal Multi-task Approach.
Proceedings of the Joint Urban Remote Sensing Event, 2025

CLIP-driven Few-Shot Continual Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Multi-clue Consistency Learning to Bridge Gaps Between General and Oriented Object in Semi-supervised Detection.
CoRR, 2024

MMM-RS: A Multi-modal, Multi-GSD, Multi-scene Remote Sensing Dataset and Benchmark for Text-to-Image Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Building Attributes Recognition with Noisy and Incomplete Labels.
Proceedings of the IGARSS 2024, 2024

Learning Building Energy Efficiency with Semantic Attributes.
Proceedings of the IGARSS 2024, 2024

2023
Big-model Driven Few-shot Continual Learning.
CoRR, 2023

Grassmann Graph Embedding for Few-Shot Class Incremental Learning.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Few-shot Continual Infomax Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2019
Single Remote Sensing Image Dehazing Using a Prior-Based Dense Attentive Network.
Remote. Sens., 2019


  Loading...