Xiaoliang Dai

4.5k total citations · 4 hit papers
44 papers, 2.0k citations indexed

About

Xiaoliang Dai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaoliang Dai has authored 44 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 22 papers in Artificial Intelligence and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaoliang Dai's work include Advanced Neural Network Applications (17 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Multimodal Machine Learning Applications (7 papers). Xiaoliang Dai is often cited by papers focused on Advanced Neural Network Applications (17 papers), Domain Adaptation and Few-Shot Learning (13 papers) and Multimodal Machine Learning Applications (7 papers). Xiaoliang Dai collaborates with scholars based in United States, China and Israel. Xiaoliang Dai's co-authors include BoRui Wu, Peizhao Zhang, Péter Vajda, Niraj K. Jha, Yuandong Tian, Hongxu Yin, Fei Sun, Yanghan Wang, Yangqing Jia and Yiming Wu and has published in prestigious journals such as Optics Letters, Expert Systems with Applications and Remote Sensing.

In The Last Decade

Xiaoliang Dai

40 papers receiving 2.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search

2019 718 citations BoRui Wu, Kurt Keutzer et al. profile →
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIP

2023 192 citations BoRui Wu, Xiaoliang Dai et al. profile →
Cross-Domain Adaptive Teacher for Object Detection

2022 139 citations Yu-Jhe Li, Xiaoliang Dai et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

2024 74 citations Yunyang Xiong, Lemeng Wu et al. profile →

Peers

Countries citing papers authored by Xiaoliang Dai

Since Specialization

Citations

This map shows the geographic impact of Xiaoliang Dai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoliang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoliang Dai more than expected).

Fields of papers citing papers by Xiaoliang Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoliang Dai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoliang Dai. The network helps show where Xiaoliang Dai may publish in the future.

Co-authorship network of co-authors of Xiaoliang Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoliang Dai. A scholar is included among the top collaborators of Xiaoliang Dai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoliang Dai. Xiaoliang Dai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity 2025 ·Hongjie Wang, Chih‐Yao Ma, Yen‐Cheng Liu, (unknown), Tao Xu, Jialiang Wang, Felix Juefei-Xu, (unknown), Peizhao Zhang, Tingbo Hou, P. Vajda, Niraj K. Jha, Xiaoliang Dai	0
2	Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation 2025 ·(unknown), (unknown), Miao Liu, Xiaoliang Dai, (unknown), Chenguang Zhu, Zeyi Huang, James M. Rehg, Sangmin Lee, (unknown), Tong Xiao	0
3	Movie Weaver: Tuning-Free Multi-Concept Video Personalization with Anchored Prompts 2025 ·(unknown), Haoyu Ma, Zhongyuan He, Tingbo Hou, Ji Hou, Kunpeng Li, Xiaoliang Dai, Felix Juefei-Xu, Samaneh Azadi, Animesh A. Sinha, Peizhao Zhang, Péter Vajda, Diana Marculescu	1
4	Deep learning prediction of rainfall-driven debris flows considering the similar critical thresholds within comparable background conditions 2024 ·Environmental Modelling & Software ·(unknown), Qiang Zou, Yunqiang Zhu, Yong Li, Bin Zhou, Wentao Zhou, (unknown), Xiaoliang Dai, (unknown), Siyu Chen	5
5	DePNR: A DeBERTa‐based deep learning model with complete position embedding for place name recognition from geographical literature 2024 ·Transactions in GIS ·(unknown), Kai Sun, Shu Wang, Yunqiang Zhu, Xiaoliang Dai, Lei Hu	3
6	Cache Me if You Can: Accelerating Diffusion Models through Block Caching 2024 ·(unknown), BoRui Wu, (unknown), Xiaoliang Dai, (unknown), Zijian He, Artsiom Sanakoyeu, Peizhao Zhang, Sam S. Tsai, Jonas Köhler, Christian Rupprecht, Daniel Cremers, Péter Vajda, Jialiang Wang	3
7	Layout-Agnostic Scene Text Image Synthesis with Diffusion Models 2024 ·(unknown), Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, (unknown), Guan Pang, Dimitris Metaxas, Praveen Krishnan	1
8	EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything breakdown → 2024 ·Yunyang Xiong, (unknown), Lemeng Wu, Xiaoyu Xiang, Fanyi Xiao, Chenchen Zhu, Xiaoliang Dai, Dilin Wang, (unknown), Forrest Iandola, Raghuraman Krishnamoorthi, Vikas Chandra	74
9	GeoTPE: A neural network model for geographical topic phrases extraction from literature based on BERT enhanced with relative position embedding 2023 ·Expert Systems with Applications ·(unknown), Kai Sun, Yunqiang Zhu, Fangyu Ding, Lei Hu, Xiaoliang Dai, Jia Song, Jie Yáng, (unknown), Shu Wang	3
10	An Investigation on Hardware-Aware Vision Transformer Scaling 2023 ·ACM Transactions on Embedded Computing Systems ·Chaojian Li, Kyungmin Kim, BoRui Wu, Peizhao Zhang, Hang Zhang, Xiaoliang Dai, Péter Vajda, Yingyan Lin	2
11	NASRec: Weight Sharing Neural Architecture Search for Recommender Systems 2023 ·(unknown), (unknown), (unknown), (unknown), Xiaoliang Dai, (unknown), Feng Yan, Hai Li, Yiran Chen, (unknown)	12
12	Mask3D: Pretraining 2D Vision Transformers by Learning Masked 3D Priors 2023 ·(unknown), Xiaoliang Dai, Zijian He, Angela Dai, Matthias NieBner	16
13	Examining the Spatially Varying Relationships between Landslide Susceptibility and Conditioning Factors Using a Geographical Random Forest Approach: A Case Study in Liangshan, China 2023 ·Remote Sensing ·Xiaoliang Dai, Yunqiang Zhu, Kai Sun, Qiang Zou, Shen Zhao, Weirong Li, Lei Hu, Shu Wang	28
14	Cross-Domain Adaptive Teacher for Object Detection breakdown → 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Yu-Jhe Li, Xiaoliang Dai, Chih‐Yao Ma, Yen‐Cheng Liu, Kan Chen, BoRui Wu, Zijian He, Kris Kitani, Péter Vajda	139
15	Rethinking the Self-Attention in Vision Transformers 2021 ·Kyungmin Kim, BoRui Wu, Xiaoliang Dai, Peizhao Zhang, Zhicheng Yan, Péter Vajda, Seon Wook Kim	34
16	Visual Transformers: Where Do Transformers Really Belong in Vision Models? 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·BoRui Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph E. Gonzalez, Kurt Keutzer, Péter Vajda	48
17	FP-NAS: Fast Probabilistic Neural Architecture Search 2021 ·Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, BoRui Wu, Matt Feiszli	13
18	FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions 2020 ·Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, BoRui Wu, Matthew Yu, Tao Xu, Kan Chen, Péter Vajda, Joseph E. Gonzalez	168
19	Using a Device State Library to Boost the Performance of TCAD Mixed-Mode Simulation 2017 ·IEEE Transactions on Very Large Scale Integration (VLSI) Systems ·Xiaoliang Dai, Niraj K. Jha	1
20	Robot error calibration based on distance measurement with parameter selection 2014 ·Beijing Hangkong Hangtian Daxue xuebao ·Tie Zhang, Xiaoliang Dai, Liang Du	3

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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