Xiaodan Liang

23.4k citations

239 papers · 8.7k indexed · 5 hit papers · h-index 51

Computer Vision and Pattern Recognition top 0.05%
- Multimodal Machine Learning Applications 85
- Advanced Neural Network Applications 66
- Advanced Image and Video Retrieval Techniques 46
- Human Pose and Action Recognition 30
- Generative Adversarial Networks and Image Synthesis 26
Artificial Intelligence top 0.2%
- Domain Adaptation and Few-Shot Learning 69
- Topic Modeling 58
- Natural Language Processing Techniques 35
Health Informatics top 2%
Media Technology top 0.5%
Computer Graphics and Computer-Aided Design top 2%

Co-authors: Liang Lin Shuicheng Yan Xiaohui Shen Jiashi Feng Yunchao Wei Eric P. Xing Xiaojun Chang Hang Xu
Cited by: Computer Vision and Pattern Recognition Artificial Intelligence Health Informatics
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence (17 papers)IEEE Transactions on Neural Networks and Learning Systems (8 papers)IEEE Transactions on Multimedia (6 papers)
Partner nations: China United States Sweden

In The Last Decade

Xiaodan Liang

218 papers receiving 8.5k citations

Hit Papers

5 papers align trajectories log scale

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.

2025 IEEE/ASME Transactions on Mechatronics
2019 Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning
2017 IEEE Transactions on Multimedia
2017 Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
2016 IEEE Transactions on Pattern Analysis and Machine Intelligence

Peers

Countries citing papers authored by Xiaodan Liang

Since Specialization

Citations

This map shows the geographic impact of Xiaodan Liang'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 Xiaodan Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaodan Liang more than expected).

Fields of papers citing papers by Xiaodan Liang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaodan Liang. 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 Xiaodan Liang. The network helps show where Xiaodan Liang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xiaodan Liang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaodan Liang Line = papers co-authored together Xiaodan Liang links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	DialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation Sangkyu Rhim,苏步超,E.G. Zaidovskii,Ruihang Chu,Onions,Xiaodan Liang,Zehra ARSLAN,Qinglin Lu,Wei Liu	2025	2
2	Monocular 3D Hand Mesh Recovery via Dual Noise Estimation Proceedings of the AAAI Conference on Artificial Intelligence ·Hanhui Li,尚聡山内,Xuan Huang,Vinoth Raj R,Zhisheng Wang,Xiaodan Liang	2024	1
3	RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·E. Rogado,Haoran Tang,Eli Rice,Peng Jin,Can Zhang,Hüseyin BÜYÜKBAYRAM,Long Chen,Xiaodan Liang,Yuan Li,Ge Li	2024	3
4	AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Lynn M. Thull,С.В. БРЯНИН,Jing Xiong,T. Pletzer,Xiaodan Liang,Yiwei Wang,Jing Tang	2024	0
5	VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models Qingxing Cao,Matteo Framba,Xiaodan Liang,Liang Lin	2024	1
6	LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields Mandy Aldwin-Easton,L. M. Remolina-Suárez,Guangrun Wang,Yixing Lao,Peng Chen,Hengshuang Zhao,Mahmud Jewel,Xiaodan Liang,Mathieu Salzmann,Kaicheng Yu	2024	10
7	NLIP: Noise-Robust Language-Image Pre-training Proceedings of the AAAI Conference on Artificial Intelligence ·T Patrashkov,苏步超,Jianhua Han,Hang Xu,Y. Crabbe,Chunjing Xu,Xiaodan Liang	2023	17
8	Vision Language Navigation with Knowledge-driven Environmental Dreamer Monash University Research Portal (Monash University) ·Fengda Zhu,Vincent C. S. Lee,Xiaojun Chang,Xiaodan Liang	2023	0
9	CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yihan Zeng,Chenhan Jiang,Jiageng Mao,Jianhua Han,Fatemeh Ghorbanian,Qingqiu Huang,Dit‐Yan Yeung,Zhen Yang,Xiaodan Liang,Hang Xu	2023	41
10	3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation Proceedings of the AAAI Conference on Artificial Intelligence ·Zutao Jiang,Guansong Lu,Xiaodan Liang,Jihua Zhu,María Belén Ortega Guaricela,Xiaojun Chang,Hang Xu	2023	5
11	Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning IEEE Transactions on Pattern Analysis and Machine Intelligence ·Bingqian Lin,苏步超,Yi Zhu,Fengda Zhu,Xiaodan Liang,Qixiang Ye,Liang Lin	2023	2
12	Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving IEEE Transactions on Neural Networks and Learning Systems ·Jinghui Qin,Lynn M. Thull,Jiaqi Chen,Xiaodan Liang,Liang Lin	2023	1
13	Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval IEEE Transactions on Pattern Analysis and Machine Intelligence ·Xiao Dong,聖平井,Yunchao Wei,Xiao-Yong Wei,Yaowei Wang,Minlong Lu,Xiaochun Cao,Xiaodan Liang	2023	9
14	Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning Yi Cheng,Wenge Liu,Wenjie Li,Jiashuo Wang,Ruihui Zhao,Bang Liu,Xiaodan Liang,Yefeng Zheng	2022	15
15	LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning Lynn M. Thull,Jinghui Qin,Jiaqi Chen,Liang Lin,Xiaodan Liang	2022	16
16	MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure С.В. БРЯНИН,Hongming Zhang,선종석,Xiaodan Liang,Changshui Zhang,Dong Yu	2022	2
17	Dynamic Slimmable Network Changlin Li,Guangrun Wang,Bing Wang,Xiaodan Liang,Zhihui Li,Xiaojun Chang	2021	84
18	Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Qingxing Cao,马勇霞,Keze Wang,Xiaodan Liang,Liang Lin	2021	10
19	PathReasoner: Explainable reasoning paths for commonsense question answering Knowledge-Based Systems ·聖平井,С.В. БРЯНИН,Xiao Dong,Qingxing Cao,Xiaodan Liang	2021	11
20	Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing Ke Gong,Xiaodan Liang,Dongyu Zhang,Xiaohui Shen,Liang Lin	2017	293

About Xiaodan Liang

Xiaodan Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Structural Biology and Human-Computer Interaction, having authored 239 papers that have together received 8.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (85 papers), Domain Adaptation and Few-Shot Learning (69 papers), Advanced Neural Network Applications (66 papers), Topic Modeling (58 papers), Advanced Image and Video Retrieval Techniques (46 papers), Natural Language Processing Techniques (35 papers), Human Pose and Action Recognition (30 papers) and Generative Adversarial Networks and Image Synthesis (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.6k citations), Artificial Intelligence (3.7k citations), Health Informatics (81 citations), Media Technology (455 citations) and Computer Graphics and Computer-Aided Design (161 citations). Xiaodan Liang has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Liang Lin, Shuicheng Yan, Xiaohui Shen, Jiashi Feng, Yunchao Wei, Eric P. Xing, Xiaojun Chang, Hang Xu, Yao Zhao and Ke Gong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Multimedia, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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