Xiaodan Liang

23.4k total citations · 5 hit papers
239 papers, 8.7k citations indexed

About

Xiaodan Liang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Xiaodan Liang has authored 239 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 177 papers in Computer Vision and Pattern Recognition, 137 papers in Artificial Intelligence and 14 papers in Computational Mechanics. Recurrent topics in Xiaodan Liang's work include Multimodal Machine Learning Applications (85 papers), Domain Adaptation and Few-Shot Learning (69 papers) and Advanced Neural Network Applications (66 papers). Xiaodan Liang is often cited by papers focused on Multimodal Machine Learning Applications (85 papers), Domain Adaptation and Few-Shot Learning (69 papers) and Advanced Neural Network Applications (66 papers). Xiaodan Liang collaborates with scholars based in China, United States and Sweden. Xiaodan Liang's 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 and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and The Science of The Total Environment.

In The Last Decade

Xiaodan Liang

218 papers receiving 8.5k citations

Hit Papers

5 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.

Scale-aware Fast R-CNN for Pedestrian Detection

2017 547 citations Xiaodan Liang et al. profile →
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach

2017 545 citations Yunchao Wei, Xiaodan Liang et al. profile →
STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

2016 398 citations Yunchao Wei, Xiaodan Liang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Meta R-CNN: Towards General Solver for Instance-Level Low-Shot Learning

2019 350 citations Xiaodan Liang, Liang Lin et al. profile →
Aligning Cyber Space With Physical World: A Comprehensive Survey on Embodied AI

2025 17 citations Xiaodan Liang, Liang Lin et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xiaodan Liang China	51	6.6k	3.7k	498	455	434	239	8.7k
Abhinav Gupta United States	35	5.3k 0.8×	3.7k 1.0×	234 0.5×	502 1.1×	486 1.1×	76	7.9k
Yanwei Fu China	38	4.8k 0.7×	2.8k 0.8×	376 0.8×	744 1.6×	693 1.6×	164	6.7k
Mingkui Tan China	40	5.4k 0.8×	3.3k 0.9×	445 0.9×	917 2.0×	473 1.1×	151	8.1k
Zhaoxiang Zhang China	39	5.1k 0.8×	1.9k 0.5×	345 0.7×	428 0.9×	197 0.5×	230	6.5k
Bharath Hariharan United States	23	4.7k 0.7×	2.3k 0.6×	363 0.7×	399 0.9×	229 0.5×	46	5.9k
Fumin Shen China	45	6.1k 0.9×	2.9k 0.8×	226 0.5×	539 1.2×	210 0.5×	205	7.7k
Guosheng Lin Singapore	38	7.0k 1.1×	2.9k 0.8×	454 0.9×	1.6k 3.5×	555 1.3×	162	9.0k
Xiangyang Xue China	42	4.5k 0.7×	2.8k 0.7×	292 0.6×	373 0.8×	320 0.7×	288	7.0k
Guiguang Ding China	51	7.5k 1.1×	4.6k 1.2×	238 0.5×	1.0k 2.2×	481 1.1×	187	11.8k
Wenguan Wang China	56	9.4k 1.4×	1.9k 0.5×	275 0.6×	1.1k 2.4×	282 0.6×	123	11.1k

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 of co-authors of Xiaodan Liang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Liang. A scholar is included among the top collaborators of Xiaodan Liang 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 Xiaodan Liang. Xiaodan Liang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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

20 of 20 papers shown

Chu, Ruihang, et al.. (2025). DialogGen: Multi-modal Interactive Dialogue System with Multi-turn Text-Image Generation. 411–426. 2 indexed citations

Li, Hanhui, et al.. (2024). Monocular 3D Hand Mesh Recovery via Dual Noise Estimation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(4). 3046–3054. 1 indexed citations

Tang, Haoran, Peng Jin, Can Zhang, et al.. (2024). RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7160–7174. 3 indexed citations

Xiong, Jing, et al.. (2024). AlignedCoT: Prompting Large Language Models via Native-Speaking Demonstrations. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2857–2896.

Cao, Qingxing, et al.. (2024). VisDiaHalBench: A Visual Dialogue Benchmark For Diagnosing Hallucination in Large Vision-Language Models. 12161–12176. 1 indexed citations

Wang, Guangrun, Yixing Lao, Peng Chen, et al.. (2024). LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. 390–398. 10 indexed citations

Han, Jianhua, et al.. (2023). NLIP: Noise-Robust Language-Image Pre-training. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 926–934. 17 indexed citations

Zhu, Fengda, Vincent C. S. Lee, Xiaojun Chang, & Xiaodan Liang. (2023). Vision Language Navigation with Knowledge-driven Environmental Dreamer. Monash University Research Portal (Monash University). 1840–1848.

Zeng, Yihan, Chenhan Jiang, Jiageng Mao, et al.. (2023). CLIP²: Contrastive Language-Image-Point Pretraining from Real-World Point Cloud Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 15244–15253. 41 indexed citations

10.

Jiang, Zutao, Guansong Lu, Xiaodan Liang, et al.. (2023). 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 1051–1059. 5 indexed citations

11.

Lin, Bingqian, Yi Zhu, Fengda Zhu, et al.. (2023). Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(10). 12535–12549. 2 indexed citations

12.

Qin, Jinghui, et al.. (2023). Template-Based Contrastive Distillation Pretraining for Math Word Problem Solving. IEEE Transactions on Neural Networks and Learning Systems. 35(9). 12823–12835. 1 indexed citations

13.

Dong, Xiao, Yunchao Wei, Xiao-Yong Wei, et al.. (2023). Entity-Graph Enhanced Cross-Modal Pretraining for Instance-level Product Retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 1–16. 9 indexed citations

14.

Cheng, Yi, Wenge Liu, Wenjie Li, et al.. (2022). Improving Multi-turn Emotional Support Dialogue Generation with Lookahead Strategy Planning. 3014–3026. 15 indexed citations

15.

Qin, Jinghui, et al.. (2022). LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning. 1–13. 16 indexed citations

16.

Zhang, Hongming, et al.. (2022). MetaLogic: Logical Reasoning Explanations with Fine-Grained Structure. 4698–4724. 2 indexed citations

17.

Li, Changlin, Guangrun Wang, Bing Wang, et al.. (2021). Dynamic Slimmable Network. 8603–8613. 84 indexed citations

18.

Cao, Qingxing, et al.. (2021). Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 1594–1603. 10 indexed citations

19.

Dong, Xiao, et al.. (2021). PathReasoner: Explainable reasoning paths for commonsense question answering. Knowledge-Based Systems. 235. 107612–107612. 11 indexed citations

20.

Gong, Ke, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, & Liang Lin. (2017). Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing. 6757–6765. 293 indexed citations

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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