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2020 – today
- 2025
[i21]Han Zhong, Yutong Yin, Shenao Zhang, Xiaojun Xu, Yuanxin Liu, Yifei Zuo, Zhihan Liu, Boyi Liu, Sirui Zheng, Hongyi Guo, Liwei Wang, Mingyi Hong, Zhaoran Wang:
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning. CoRR abs/2501.18858 (2025)- 2024
- [j8]Yuanxin Liu, Guoming Sang
, Zhi Liu, Yilin Pan, Junkai Cheng, Yijia Zhang:
MPTN: A message-passing transformer network for drug repurposing from knowledge graph. Comput. Biol. Medicine 168: 107800 (2024) - [c31]Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou:
TempCompass: Do Video LLMs Really Understand Videos? ACL (Findings) 2024: 8731-8772 - [c30]Shicheng Li, Lei Li, Yi Liu, Shuhuai Ren, Yuanxin Liu, Rundong Gao, Xu Sun, Lu Hou:
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models. ECCV (70) 2024: 331-348 - [i20]Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, Lu Hou:
TempCompass: Do Video LLMs Really Understand Videos? CoRR abs/2403.00476 (2024) - [i19]Sishuo Chen, Lei Li, Shuhuai Ren, Rundong Gao, Yuanxin Liu, Xiaohan Bi, Xu Sun, Lu Hou:
Towards Multimodal Video Paragraph Captioning Models Robust to Missing Modality. CoRR abs/2403.19221 (2024) - [i18]Linli Yao, Lei Li, Shuhuai Ren, Lean Wang, Yuanxin Liu, Xu Sun, Lu Hou:
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models. CoRR abs/2405.20985 (2024) - [i17]Lei Li, Yuanxin Liu, Linli Yao, Peiyuan Zhang, Chenxin An, Lean Wang, Xu Sun, Lingpeng Kong, Qi Liu:
Temporal Reasoning Transfer from Text to Video. CoRR abs/2410.06166 (2024) - [i16]Kun Ouyang, Yuanxin Liu, Shicheng Li, Yi Liu, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension. CoRR abs/2412.11906 (2024) - 2023
- [j7]Yao Tao, Xu Luo, Yunna Wu, Lihui Zhang, Yuanxin Liu, Chuanbo Xu:
Portfolio selection of power generation projects considering the synergy of project and uncertainty of decision information. Comput. Ind. Eng. 175: 108896 (2023) - [c29]Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang:
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. EMNLP 2023: 513-529 - [c28]Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou:
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation. NeurIPS 2023 - [c27]Yuanxin Liu, Rui Li, Yuxi Ma, Yunzhi Xue, Lingzhong Meng:
FCA: A Causal Inference Based Method for Analyzing the Failure Causes of Object Detection Algorithms. QRS Companion 2023: 247-256 - [i15]Yuanxin Liu, Lei Li, Shuhuai Ren, Rundong Gao, Shicheng Li, Sishuo Chen, Xu Sun, Lu Hou:
FETV: A Benchmark for Fine-Grained Evaluation of Open-Domain Text-to-Video Generation. CoRR abs/2311.01813 (2023) - [i14]Shicheng Li, Lei Li, Shuhuai Ren, Yuanxin Liu, Yi Liu, Rundong Gao, Xu Sun, Lu Hou:
VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models. CoRR abs/2311.17404 (2023) - 2022
- [c26]Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang:
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models. EMNLP 2022: 1719-1730 - [c25]Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. EMNLP (Findings) 2022: 3698-3712 - [c24]Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. EMNLP (Findings) 2022: 6650-6662 - [c23]Rui Liu, Zheng Lin, Peng Fu, Yuanxin Liu, Weiping Wang:
Connecting Targets via Latent Topics And Contrastive Learning: A Unified Framework For Robust Zero-Shot and Few-Shot Stance Detection. ICASSP 2022: 7812-7816 - [c22]Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. NAACL-HLT 2022: 5840-5857 - [c21]Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. NeurIPS 2022 - [c20]Qiangjuan Huang, Yuanxin Liu, Haoyu Zhang:
Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 1644-1650 - [i13]Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training. CoRR abs/2204.11218 (2022) - [i12]Qingyi Si, Yuanxin Liu, Fandong Meng, Zheng Lin, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. CoRR abs/2210.04563 (2022) - [i11]Qingyi Si, Fandong Meng, Mingyu Zheng, Zheng Lin, Yuanxin Liu, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. CoRR abs/2210.04692 (2022) - [i10]Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou:
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models. CoRR abs/2210.05211 (2022) - [i9]Qingyi Si, Yuanxin Liu, Zheng Lin, Peng Fu, Weiping Wang:
Compressing And Debiasing Vision-Language Pre-Trained Models for Visual Question Answering. CoRR abs/2210.14558 (2022) - [i8]Bowen Shen, Zheng Lin, Yuanxin Liu, Zhengxiao Liu, Lei Wang, Weiping Wang:
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models. CoRR abs/2210.15523 (2022) - 2021
- [c19]Yuanxin Liu, Zheng Lin, Fengcheng Yuan:
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques. AAAI 2021: 8715-8722 - [c18]Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou:
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. ACL/IJCNLP (1) 2021: 2928-2941 - [c17]Qingyi Si, Yuanxin Liu, Peng Fu, Zheng Lin, Jiangnan Li, Weiping Wang:
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection. IJCAI 2021: 3922-3928 - [i7]Yuanxin Liu, Zheng Lin, Fengcheng Yuan:
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques. CoRR abs/2103.11367 (2021) - [i6]Yuanxin Liu, Fandong Meng, Zheng Lin, Weiping Wang, Jie Zhou:
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation. CoRR abs/2106.05691 (2021) - 2020
- [i5]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. CoRR abs/2002.12585 (2020) - [i4]Qingyi Si, Yuanxin Liu, Peng Fu, Jiangnan Li, Zheng Lin, Weiping Wang:
Learning Disentangled Intent Representations for Zero-shot Intent Detection. CoRR abs/2012.01721 (2020)
2010 – 2019
- 2019
- [j6]Chao Ning, Dan Wang, Lei Zhou, Julong Wei, Yuanxin Liu, Huimin Kang, Shengli Zhang, Xiang Zhou, Shizhong Xu, Jianfeng Liu:
Efficient multivariate analysis algorithms for longitudinal genome-wide association studies. Bioinform. 35(23): 4879-4885 (2019) - [c16]Yuanxin Liu, Zheng Lin, Fenglin Liu, Qinyun Dai, Weiping Wang:
Generating Paraphrase with Topic as Prior Knowledge. CIKM 2019: 2381-2384 - [c15]Fenglin Liu, Meng Gao, Yuanxin Liu, Kai Lei:
Self-Adaptive Scaling for Learnable Residual Structure. CoNLL 2019: 862-870 - [c14]Yanfu Xu, Zheng Lin, Yuanxin Liu, Rui Liu, Weiping Wang, Dan Meng:
Ranking and Sampling in Open-Domain Question Answering. EMNLP/IJCNLP (1) 2019: 2412-2421 - [c13]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Kai Lei, Xu Sun:
Exploring and Distilling Cross-Modal Information for Image Captioning. IJCAI 2019: 5095-5101 - [c12]Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Xiaodong He, Xu Sun:
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations. NeurIPS 2019: 6847-6857 - [i3]Fenglin Liu, Yuanxin Liu, Xuancheng Ren, Kai Lei, Xu Sun:
Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning. CoRR abs/1905.06139 (2019) - [i2]Yuanxin Liu, Zheng Lin:
Unsupervised Pre-training for Natural Language Generation: A Literature Review. CoRR abs/1911.06171 (2019) - 2018
- [c11]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun:
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. EMNLP 2018: 137-149 - [i1]Fenglin Liu, Xuancheng Ren, Yuanxin Liu, Houfeng Wang, Xu Sun:
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions. CoRR abs/1808.08732 (2018) - 2014
- [c10]Lina Zhong, Wenwu Zhao, Yuanxin Liu, Xiao Zhang, Xuening Fang:
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. IGARSS 2014: 4184-4187
2000 – 2009
- 2008
- [b1]Yuanxin Liu:
Computations of Delaunay and Higher Order Triangulations, with Applications to Splines. University of North Carolina, Chapel Hill, USA, 2008 - [j5]Yuanxin Liu, Jack Snoeyink:
Faraway Point: a Sentinel Point for Delaunay Computation. Int. J. Comput. Geom. Appl. 18(4): 343-355 (2008) - 2007
- [j4]Andrew Leaver-Fay, Yuanxin Liu, Jack Snoeyink, Xueyi Wang:
Faster placement of hydrogens in protein structures by dynamic programming. ACM J. Exp. Algorithmics 12: 2.5:1-2.5:16 (2007) - [c9]Yuanxin Liu, Jack Snoeyink:
Quadratic and cubic b-splines by generalizing higher-order voronoi diagrams. SCG 2007: 150-157 - 2006
- [j3]Martin Isenburg, Yuanxin Liu, Jonathan Richard Shewchuk, Jack Snoeyink:
Streaming computation of Delaunay triangulations. ACM Trans. Graph. 25(3): 1049-1056 (2006) - [c8]Martin Isenburg, Yuanxin Liu, Jonathan Richard Shewchuk, Jack Snoeyink:
Illustrating the streaming construction of 2D delaunay triangulations. SCG 2006: 481-482 - [c7]Martin Isenburg, Yuanxin Liu, Jonathan Richard Shewchuk, Jack Snoeyink, Tim Thirion:
Generating Raster DEM from Mass Points Via TIN Streaming. GIScience 2006: 186-198 - [c6]Yuanxin Liu, Jack Snoeyink:
Sphere-based Computation of Delaunay Diagrams on Points from 4d Grids. ISVD 2006: 60-65 - 2005
- [c5]Craig Falls, Yuanxin Liu, Jack Snoeyink, Diane L. Souvaine:
Testing Shortcuts to Maintain Simplicity in Subdivision Simplification. CCCG 2005: 35-38 - 2004
- [j2]Sergio Cabello, Yuanxin Liu, Andrea Mantler, Jack Snoeyink:
Testing Homotopy for Paths in the Plane. Discret. Comput. Geom. 31(1): 61-81 (2004) - [j1]William V. Baxter III, Yuanxin Liu, Ming C. Lin:
A viscous paint model for interactive applications. Comput. Animat. Virtual Worlds 15(3-4): 433-441 (2004) - [c4]Andrew Leaver-Fay, Yuanxin Liu, Jack Snoeyink:
Faster Placement of Hydrogens in Protein Structures by Dynamic Programming. ALENEX/ANALC 2004: 39-48 - [c3]Yuanxin Liu, Jack Snoeyink:
Flooding Triangulated Terrain. SDH 2004: 137-148 - [c2]William V. Baxter III, Yuanxin Liu, Ming C. Lin:
A viscous paint model for interactive applications. SIGGRAPH Sketches 2004: 3 - 2002
- [c1]Sergio Cabello, Yuanxin Liu, Andrea Mantler, Jack Snoeyink:
Testing Homotopy for paths in the plane. SCG 2002: 160-169
Coauthor Index
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