Ruizhe Li

Orcid: 0000-0003-2512-845X

According to our database1, Ruizhe Li authored at least 44 papers between 2011 and 2024.

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

Timeline

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Links

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Bibliography

2024
On the Model-Agnostic Multi-Source-Free Unsupervised Domain Adaptation.
CoRR, 2024

GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators.
CoRR, 2024

It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition.
CoRR, 2024

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition.
CoRR, 2024

Simulated Task Oriented Dialogues for Developing Versatile Conversational Agents.
Proceedings of the Advances in Information Retrieval, 2024

2023
Accuracy Improvement of Braking Force via Deceleration Feedback Functions Applied to Braking Systems.
Sensors, July, 2023

Controllable automatic generation of non-player characters in 3D anime style.
Comput. Animat. Virtual Worlds, 2023

Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction.
CoRR, 2023

Noise-aware Speech Enhancement using Diffusion Probabilistic Model.
CoRR, 2023

A Hierarchical Deep Video Understanding Method with Shot-Based Instance Search and Large Language Model.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Gradient Remedy for Multi-Task Learning in End-to-End Noise-Robust Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MIR-GAN: Refining Frame-Level Modality-Invariant Representations with Adversarial Network for Audio-Visual Speech Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
An efficient interactive multi-label segmentation tool for 2D and 3D medical images using fully connected conditional random field.
Comput. Methods Programs Biomed., 2022

Motion-Related Artefact Classification Using Patch-Based Ensemble and Transfer Learning in Cardiac MRI.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers, 2022

Data Distribution Transfer for Out Of Distribution Generalization.
Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

Bounding Box Based Weakly Supervised Deep Convolutional Neural Network for Medical Image Segmentation Using an Uncertainty Guided and Spatially Constrained Loss.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
On the Latent Holes of VAEs for Text Generation.
CoRR, 2021

Affective Decoding for Empathetic Response Generation.
CoRR, 2021

Image Augmentation Using a Task Guided Generative Adversarial Network for Age Estimation on Brain MRI.
Proceedings of the Medical Image Understanding and Analysis - 25th Annual Conference, 2021

Affective Decoding for Empathetic Response Generation.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

Real-Time Semantic Segmentation of Aerial Videos Based on Bilateral Segmentation Network.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2020
On the Low-density Latent Regions of VAE-based Language Models.
Proceedings of the NeurIPS 2020 Workshop on Pre-registration in Machine Learning, 2020

A Generic Ensemble Based Deep Convolutional Neural Network for Semi-Supervised Medical Image Segmentation.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Latent Space Factorisation and Manipulation via Matrix Subspace Projection.
Proceedings of the 37th International Conference on Machine Learning, 2020

DGST: a Dual-Generator Network for Text Style Transfer.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Automatic Generation of 3D Natural Anime-like Non-Player Characters with Machine Learning.
Proceedings of the International Conference on Cyberworlds, 2020

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Deep neural network with FGL for small dataset classification.
IET Image Process., 2019

A Stable Variational Autoencoder for Text Modelling.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

FU-Net: Multi-class Image Segmentation Using Feedback Weighted U-Net.
Proceedings of the Image and Graphics - 10th International Conference, 2019

A Dual-Attention Hierarchical Recurrent Neural Network for Dialogue Act Classification.
Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

2018
Inference of a compact representation of sensor fingerprint for source camera identification.
Pattern Recognit., 2018

ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2016
Learning based forensic techniques for source camera identification.
PhD thesis, 2016

2015
Random subspace method for source camera identification.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Incremental update of feature extractor for camera identification.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A compact representation of sensor fingerprint for camera identification and fingerprint matching.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Performance Characterization and Optimization for Intel Xeon Phi Coprocessor.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

CSAP: A Performance Predictor for Climate Simulation Applications on Intel CPUs.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2015

2014
A reference estimator based on composite sensor pattern noise for source device identification.
Proceedings of the Media Watermarking, 2014

PCA-based denoising of Sensor Pattern Noise for source camera identification.
Proceedings of the IEEE China Summit & International Conference on Signal and Information Processing, 2014

2011
Efficient Nonserial Polyadic Dynamic Programming on the Cell Processor.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011


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