Yunqiu Xu

Orcid: 0000-0002-2940-4805

According to our database1, Yunqiu Xu authored at least 25 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Manifold-Based Incomplete Multi-View Clustering via Bi-Consistency Guidance.
IEEE Trans. Multim., 2024

MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs.
CoRR, 2024

GG-Editor: Locally Editing 3D Avatars with Multimodal Large Language Model Guidance.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MoS<sup>2</sup>: Mixture of Scale and Shift Experts for Text-Only Video Captioning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Continual Learning for Temporal-Sensitive Question Answering.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Shared dynamics learning for large-scale traveling salesman problem.
Adv. Eng. Informatics, April, 2023

Cyclic Self-Training With Proposal Weight Modulation for Cross-Supervised Object Detection.
IEEE Trans. Image Process., 2023

Stay Moral and Explore: Learn to Behave Morally in Text-based Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Self-imitation Learning for Action Generation in Text-based Games.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
Weakly Supervised RGB-D Salient Object Detection With Prediction Consistency Training and Active Scribble Boosting.
IEEE Trans. Image Process., 2022

Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems.
IEEE Trans. Cybern., 2022

Self-Correction for Human Parsing.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Perceiving the World: Question-guided Reinforcement Learning for Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
Pyramidal Multiple Instance Detection Network With Mask Guided Self-Correction for Weakly Supervised Object Detection.
IEEE Trans. Image Process., 2021

Generalization in Text-based Games via Hierarchical Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Deep Reinforcement Learning for Performance-Aware Adaptive Resource Allocation in Mobile Edge Computing.
Wirel. Commun. Mob. Comput., 2020

Follow the Sound of Children's Heart: A Deep-Learning-Based Computer-Aided Pediatric CHDs Diagnosis System.
IEEE Internet Things J., 2020

Heart sounds classification using a novel 1-D convolutional neural network with extremely low parameter consumption.
Neurocomputing, 2020

Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep Reinforcement Learning with Transformers for Text Adventure Games.
Proceedings of the IEEE Conference on Games, 2020

2019
Security and Cost-Aware Computation Offloading via Deep Reinforcement Learning in Mobile Edge Computing.
Wirel. Commun. Mob. Comput., 2019

Histogram Learning in Image Contrast Enhancement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Pay More Attention with Fewer Parameters: A Novel 1-D Convolutional Neural Network for Heart Sounds Classification.
Proceedings of the Computing in Cardiology, 2018


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