Xiaoyu Liu

Affiliations:
  • University of Maryland, College Park, Department of Computer Science, MD, USA
  • Colorado State University, Fort Collins, CO, USA (former)


According to our database1, Xiaoyu Liu authored at least 23 papers between 2016 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

Online presence:

On csauthors.net:

Bibliography

2024
Joint Semantic Knowledge Distillation and Masked Acoustic Modeling for Full-band Speech Restoration with Improved Intelligibility.
CoRR, 2024

CSRec: Rethinking Sequential Recommendation from A Causal Perspective.
CoRR, 2024

Calibrated Dataset Condensation for Faster Hyperparameter Search.
CoRR, 2024

Large Language Models and Causal Inference in Collaboration: A Comprehensive Survey.
CoRR, 2024

Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation.
CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
CoRR, 2024

conv_einsum: A Framework for Representation and Fast Evaluation of Multilinear Operations in Convolutional Tensorial Neural Networks.
CoRR, 2024

DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GASS: Generalizing Audio Source Separation with Large-Scale Data.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoHallusion: Automatic Generation of Hallucination Benchmarks for Vision-Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Hallusionbench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CAT: Causal Audio Transformer for Audio Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

Quantitative Evidence on Overlooked Aspects of Enrollment Speaker Embeddings for Target Speaker Separation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Compact Neural Architecture Designs by Tensor Representations.
Frontiers Artif. Intell., 2022

Tuformer: Data-driven Design of Transformers for Improved Generalization or Efficiency.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
On Permutation Invariant Training For Speech Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
An Empirical Study of Conv-Tasnet.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2016
Explorations in Very Early Prognosis of the Human Immune Response to Influenza.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016


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