Tie Liu

2.6k citations

27 papers · 1.8k indexed · 2 hit papers · h-index 11

Computer Vision and Pattern Recognition top 0.5%
Sensory Systems top 1%
Cognitive Neuroscience top 10%
Automotive Engineering top 5%
Media Technology top 2%

Co-authors: Zejian Yuan Nanning Zheng Jian Sun Heung‐Yeung Shum Jingdong Wang Xiaoou Tang Ruijin Liu Zhuhong Shao
Topics: Emotion and Mood Recognition (7 papers)Advanced Neural Network Applications (5 papers)Visual Attention and Saliency Detection (3 papers)
Cited by: Sensory Systems Computer Vision and Pattern Recognition Human-Computer Interaction
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence Expert Systems with Applications IEEE Access
Partner nations: China United States Hong Kong

In The Last Decade

Tie Liu

23 papers receiving 1.7k 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.

Learning to Detect a Salient Object

2010 1.3k citations Tie Liu, Zejian Yuan et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
End-to-end Lane Shape Prediction with Transformers

2021 208 citations Ruijin Liu, Zejian Yuan et al. profile →

Peers

Countries citing papers authored by Tie Liu

Since Specialization

Citations

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

Fields of papers citing papers by Tie Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Tie Liu. A scholar is included among the top collaborators of Tie Liu 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 Tie Liu. Tie Liu 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

#	Work	Indexed citations
1	CFGMamba: Cross frame group Mamba for video-based depression recognition 2025 ·Biomedical Signal Processing and Control ·Jingyi Liu,Yuanyuan Shang,Mengyuan Yang,Zhuhong Shao,Hui Ding,Tie Liu	0
2	MFMamba: A Multimodal Fusion State Space Model for Depression Recognition 2025 ·Jingyi Liu,Yuanyuan Shang,Mengyuan Yang,Zhuhong Shao,Jiaxi Lu,Tie Liu	1
3	Integrating Deep Facial Priors Into Landmarks for Privacy Preserving Multimodal Depression Recognition 2023 ·IEEE Transactions on Affective Computing ·(unknown),Yuanyuan Shang,Zhuhong Shao,Tie Liu,Guodong Guo,Hui Ding	27
4	Multi-feature deep supervised voiceprint adversarial network for depression recognition from speech 2023 ·Biomedical Signal Processing and Control ·(unknown),Yuanyuan Shang,Wei Wang,Zhuhong Shao,(unknown),Tie Liu,Guodong Guo,Hui Ding	9
5	Integrate memory mechanism in multi-granularity deep framework for driver drowsiness detection 2023 ·(unknown),Tie Liu,(unknown),Dapeng Chen,Zejian Yuan	1
6	Learning to Predict 3D Lane Shape and Camera Pose from a Single Image via Geometry Constraints 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Ruijin Liu,Dapeng Chen,Tie Liu,(unknown),Zejian Yuan	34
7	Multiple color image encryption based on cascaded quaternion gyrator transforms 2022 ·Signal Processing Image Communication ·(unknown),Yuanyuan Shang,Zhuhong Shao,Yan Zhang,Gouenou Coatrieux,Hui Ding,Tie Liu	10
8	LQGDNet: A Local Quaternion and Global Deep Network for Facial Depression Recognition 2021 ·IEEE Transactions on Affective Computing ·Yuanyuan Shang,(unknown),Jiang Xiao,Zhuhong Shao,Guodong Guo,Tie Liu,Hui Ding	35
9	End-to-end Lane Shape Prediction with Transformersbreakdown → 2021 ·Ruijin Liu,Zejian Yuan,Tie Liu,(unknown)	208
10	Output Layer Multiplication for Class Imbalance Problem in Convolutional Neural Networks 2020 ·Neural Processing Letters ·Zhao Yang,Yuanxin Zhu,Tie Liu,Sai Zhao,Yunyan Wang,Dapeng Tao	2
11	Spatial Attention-based Efficiently Features Fusion Network for 3D-MR Brain Tumor Segmentation 2020 ·Yufeng Nie,Hui Ding,Yuanyuan Shang,Zhuhong Shao,Tie Liu	4
12	Welding Joints Inspection via Residual Attention Network 2019 ·(unknown),Zejian Yuan,Tie Liu	2
13	Path Planning of Anti-ship Missile Based on Adaptive A* Algorithm and Improved Generic Algorithm 2013 ·Journal of Projectiles.Rockets.Missiles and Guidance ·(unknown),(unknown),Tie Liu	0
14	Research on methods of allocation and prediction of missile storage reliability 2011 ·Machinery Design and Manufacture ·Tie Liu	0
15	Learning to Detect a Salient Objectbreakdown → 2010 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Tie Liu,Zejian Yuan,Jian Sun,Jingdong Wang,Nanning Zheng,Xiaoou Tang,Heung‐Yeung Shum	1297
16	A study on performance improvement of gateway anti-virus system based on file scanning 2009 ·(unknown),Zhihong Zhao,Tie Liu,(unknown),Jiren Liu	1
17	Rule flow logic verification: A simulation based approach 2009 ·(unknown),(unknown),Feng Li,Tie Liu	1
18	Watermarking via optimization algorithms for quantizing randomized semi-global image statistics 2005 ·Multimedia Systems ·M. Kıvanç Mıhçak,Ramarathnam Venkatesan,Tie Liu	11
19	Scale-invariant image watermarking via optimization algorithms for quantizing randomized statistics 2004 ·Tie Liu,Ramarathnam Venkatesan,M. Kıvanç Mıhçak	4
20	Convergence analysis of genetic algorithms 2000 ·Journal of Daqing Petroleum Institute ·Tie Liu	1

About Tie Liu

Tie Liu is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Applied Psychology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Emotion and Mood Recognition (7 papers), Advanced Neural Network Applications (5 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Sensory Systems (379 citations), Computer Vision and Pattern Recognition (1.6k citations) and Human-Computer Interaction (122 citations). Tie Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zejian Yuan, Nanning Zheng, Jian Sun, Heung‐Yeung Shum, Jingdong Wang, Xiaoou Tang, Ruijin Liu, Zhuhong Shao, Hui Ding and Guodong Guo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Expert Systems with Applications and IEEE Access.

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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