Zihang Lin

Orcid: 0000-0003-4262-6354

According to our database1, Zihang Lin authored at least 13 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
LearnedFTL: A Learning-Based Page-Level FTL for Reducing Double Reads in Flash-Based SSDs.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

2023
LearnedFTL: A Learning-based Page-level FTL for Improving Random Reads in Flash-based SSDs.
CoRR, 2023

Hierarchical Semantic Correspondence Networks for Video Paragraph Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Density-Aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement.
IEEE Trans. Circuits Syst. Video Technol., 2022

Structural Hole Theory in Social Network Analysis: A Review.
IEEE Trans. Comput. Soc. Syst., 2022

APANet: Auto-Path Aggregation for Future Instance Segmentation Prediction.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

STVGFormer: Spatio-Temporal Video Grounding with Static-Dynamic Cross-Modal Understanding.
CoRR, 2022

2021
Augmented 2D-TAN: A Two-stage Approach for Human-centric Spatio-Temporal Video Grounding.
CoRR, 2021

Level-aware Haze Image Synthesis by Self-Supervised Content-Style Disentanglement.
CoRR, 2021

Action-guided 3D Human Motion Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Predictive Feature Learning for Future Segmentation Prediction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Predicting Future Instance Segmentation with Contextual Pyramid ConvLSTMs.
Proceedings of the 27th ACM International Conference on Multimedia, 2019


  Loading...