Yuanxin Liu

According to our database, Yuanxin Liu authored at least 44 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MPTN: A message-passing transformer network for drug repurposing from knowledge graph.

Yuanxin Liu, Guoming Sang, Zhi Liu, Yilin Pan, Junkai Cheng, Yijia Zhang

Comput. Biol. Medicine, January, 2024

Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality.

Sishuo Chen, Lei Li, Shuhuai Ren, Rundong Gao, Yuanxin Liu, Xiaohan Bi, Xu Sun, Lu Hou

CoRR, 2024

TempCompass: Do Video LLMs Really Understand Videos?

Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou

CoRR, 2024

2023

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models.

Shicheng Li, Lei Li, Shuhuai Ren, Yuanxin Liu, Yi Liu, Rundong Gao, Xu Sun, Lu Hou

CoRR, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.

Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

CoRR, 2023

Portfolio selection of power generation projects considering the synergy of project and uncertainty of decision information.

Yao Tao, Xu Luo, Yunna Wu, Lihui Zhang, Yuanxin Liu, Chuanbo Xu

Comput. Ind. Eng., 2023

FCA: A Causal Inference Based Method for Analyzing the Failure Causes of Object Detection Algorithms.

Yuanxin Liu, Rui Li, Yuxi Ma, Yunzhi Xue, Lingzhong Meng

Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation.

Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering.

Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering.

Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Weiping Wang

CoRR, 2022

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference.

Qiangjuan Huang, Yuanxin Liu, Haoyu Zhang

Proceedings of the IEEE Smartworld, 2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models.

Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training.

Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Connecting Targets via Latent Topics And Contrastive Learning: A Unified Framework For Robust Zero-Shot and Few-Shot Stance Detection.

Rui Liu, Zheng Lin, Peng Fu, Yuanxin Liu, Weiping Wang

Proceedings of the IEEE International Conference on Acoustics, 2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA.

Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning.

Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models.

Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Learning Class-Transductive Intent Representations for Zero-shot Intent Detection.

Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation.

Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques.

Yuanxin Liu, Zheng Lin, Fengcheng Yuan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Disentangled Intent Representations for Zero-shot Intent Detection.

Qingyi Si, Yuanxin Liu, Peng Fu, Jiangnan Li, Zheng Lin, Weiping Wang

CoRR, 2020

2019

Unsupervised Pre-training for Natural Language Generation: A Literature Review.

Yuanxin Liu, Zheng Lin

CoRR, 2019

Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning.

Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Kai Lei, Xu Sun

CoRR, 2019

Efficient multivariate analysis algorithms for longitudinal genome-wide association studies.

Chao Ning, Dan Wang, Lei Zhou, Julong Wei, Yuanxin Liu, Huimin Kang, Shengli Zhang, Xiang Zhou, Shizhong Xu, Jian-Feng Liu

Bioinform., 2019

Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations.

Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Exploring and Distilling Cross-Modal Information for Image Captioning.

Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Ranking and Sampling in Open-Domain Question Answering.

Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Self-Adaptive Scaling for Learnable Residual Structure.

Fenglin Liu, Meng Gao, Yuanxin Liu, Kai Lei

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Generating Paraphrase with Topic as Prior Knowledge.

Yuanxin Liu, Zheng Lin, Fenglin Liu, Qinyun Dai, Weiping Wang

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions.

Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2014

Deviation of land-use data from quickbird and TM remote sensing imagery: A case study of the Tanjiaying small watershed in the loess hilly-gully area of China.

Lina Zhong, Wenwu Zhao, Yuanxin Liu, Xiao Zhang, Xuening Fang

Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

2008

Computations of Delaunay and Higher Order Triangulations, with Applications to Splines.

Yuanxin Liu

PhD thesis, 2008

Faraway Point: a Sentinel Point for Delaunay Computation.

Yuanxin Liu, Jack Snoeyink

Int. J. Comput. Geom. Appl., 2008

2007

Faster placement of hydrogens in protein structures by dynamic programming.

Andrew Leaver-Fay, Yuanxin Liu, Jack Snoeyink, Xueyi Wang

ACM J. Exp. Algorithmics, 2007

Quadratic and cubic b-splines by generalizing higher-order voronoi diagrams.

Yuanxin Liu, Jack Snoeyink

Proceedings of the 23rd ACM Symposium on Computational Geometry, 2007

2006

Streaming computation of Delaunay triangulations.

Martin Isenburg, Yuanxin Liu, Jonathan Richard Shewchuk, Jack Snoeyink

ACM Trans. Graph., 2006

Sphere-based Computation of Delaunay Diagrams on Points from 4d Grids.

Yuanxin Liu, Jack Snoeyink

Proceedings of the 3rd International Symposium on Voronoi Diagrams in Science and Engineering, 2006

Generating Raster DEM from Mass Points Via TIN Streaming.

Martin Isenburg, Yuanxin Liu, Jonathan Richard Shewchuk, Jack Snoeyink, Tim Thirion

Proceedings of the Geographic Information Science, 4th International Conference, 2006

Illustrating the streaming construction of 2D delaunay triangulations.

Martin Isenburg, Yuanxin Liu, Jonathan Richard Shewchuk, Jack Snoeyink

Proceedings of the 22nd ACM Symposium on Computational Geometry, 2006

2005

Testing Shortcuts to Maintain Simplicity in Subdivision Simplification.

Craig Falls, Yuanxin Liu, Jack Snoeyink, Diane L. Souvaine

Proceedings of the 17th Canadian Conference on Computational Geometry, 2005

2004

A viscous paint model for interactive applications.

William V. Baxter III, Yuanxin Liu, Ming C. Lin

Comput. Animat. Virtual Worlds, 2004

Testing Homotopy for Paths in the Plane.

Sergio Cabello, Yuanxin Liu, Andrea Mantler, Jack Snoeyink

Discret. Comput. Geom., 2004

Flooding Triangulated Terrain.

Yuanxin Liu, Jack Snoeyink

Proceedings of the Developments in Spatial Data Handling, 2004

Faster Placement of Hydrogens in Protein Structures by Dynamic Programming.

Andrew Leaver-Fay, Yuanxin Liu, Jack Snoeyink

Proceedings of the Sixth Workshop on Algorithm Engineering and Experiments and the First Workshop on Analytic Algorithmics and Combinatorics, 2004