Ji Liu

70 papers receiving 2.3k citations

Hit Papers

Sparse reconstruction cost for abnormal event detection20112026201620212011100200300400500

Peers

Ji Liu
Comparison fields: 5 of 149
  • Artificial Intelligence 1.5k
  • Computer Vision and Pattern Recognition 1.0k
  • Computer Networks and Communications 569
  • Biomedical Engineering 209
  • Computational Mechanics 150
Replace Kazuyuki Murase with:
Kazuyuki Murase Japan
Zhengchao Dong United States
Cong Liu China
Jia Zhang China
Xueying Zhang China
Xi Xiao China
Lizhong Xu China
Yi Xu China
Eduardo Ros Spain
Tao Song China
Ji Liu relative to Kazuyuki Murase Japan Kazuyuki Murase's profile →
Citations per field
00.5×5.4×
Kazuyuki Murase · 1×
Citations per year

Countries citing papers authored by Ji Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ji Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji Liu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 2
3 2
4 135
5 44
6 18
7
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free
1
8
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization
14
9
A Generic Active Learning Framework for Class Imbalance Applications.
4
10
Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent
5
11
ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning
52
12
Cascaded Contextual Region-based Convolutional Neural Network for Event Detection from Time Series Signals: A Seismic Application.
2
13
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent
188
14
Staleness-aware async-SGD for distributed deep learning
100
15
The teaching dimension of linear learners
3
16
Exclusive Feature Learning on Arbitrary Structures via ell_1,2-norm
45
17 27
18
An Approximate, Efficient LP Solver for LP Rounding
8
19 66
20 45

About Ji Liu

Ji Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Behavioral Neuroscience, having authored 74 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (11 papers), Stochastic Gradient Optimization Techniques (10 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Artificial Intelligence (1.5k citations) and Computer Networks and Communications (569 citations). Ji Liu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Yang Cong, Junsong Yuan, Xiangru Lian, Ce Zhang, Jiang‐Ning Zhou, Gan Sun, Cho‐Jui Hsieh, Huan Zhang, Wei Zhang and Lingjuan Lyu. Their work appears in journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

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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