Site Li

Orcid: 0000-0002-7221-1814

According to our database1, Site Li authored at least 24 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Can Large Language Models Understand Context?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures.
Neurocomputing, April, 2023

MARRS: Multimodal Reference Resolution System.
CoRR, 2023

Ontology Revision based on Pre-trained Language Models.
CoRR, 2023

5IDER: Unified Query Rewriting for Steering, Intent Carryover, Disfluencies, Entity Carryover and Repair.
CoRR, 2023

An Embedding-based Approach to Inconsistency-tolerant Reasoning with Inconsistent Ontologies.
CoRR, 2023

2022
Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation.
IEEE Trans. Intell. Transp. Syst., 2022

Towards Modern Card Games with Large-Scale Action Spaces Through Action Representation.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Band Selection for Specific Target Detection of Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
MBB: Model-Based Baseline for Efficient Reinforcement Learning.
CoRR, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.
CoRR, 2020

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving.
CoRR, 2020

AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Small Traffic Sign Detection Through Selective Feature Fusion Based Faster R-CNN With Arc-Softmax Loss.
Proceedings of the 12th ACM SIGSPATIAL International Workshop on Computational Transportation Science, 2019

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Data Augmentation via Latent Space Interpolation for Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017
An improved effective approach for urban air quality forecast.
Proceedings of the 13th International Conference on Natural Computation, 2017


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