Jingcai Guo

544 total citations
38 papers, 270 citations indexed

About

Jingcai Guo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jingcai Guo has authored 38 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 19 papers in Computer Vision and Pattern Recognition and 4 papers in Signal Processing. Recurrent topics in Jingcai Guo's work include Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (7 papers) and Privacy-Preserving Technologies in Data (6 papers). Jingcai Guo is often cited by papers focused on Domain Adaptation and Few-Shot Learning (14 papers), Multimodal Machine Learning Applications (7 papers) and Privacy-Preserving Technologies in Data (6 papers). Jingcai Guo collaborates with scholars based in Hong Kong, China and Singapore. Jingcai Guo's co-authors include Song Guo, Fushuo Huo, Xiaocheng Lu, Wenchao Xu, Jingren Zhou, Jie Zhang, Albert Y. Zomaya, Zhihao Qu, Deze Zeng and Rajendra Akerkar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Information Sciences and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Jingcai Guo

30 papers receiving 267 citations

Peers

Countries citing papers authored by Jingcai Guo

Since Specialization

Citations

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

Fields of papers citing papers by Jingcai Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingcai Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jingcai Guo. A scholar is included among the top collaborators of Jingcai Guo 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 Jingcai Guo. Jingcai Guo 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	Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition 2025 ·Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao	0
2	Reliable Service Recommendation: A Multi-Modal Adversarial Method for Personalized Recommendation Under Uncertain Missing Modalities 2025 ·IEEE Transactions on Services Computing ·Junyang Chen, (unknown), Jingcai Guo, Huan Wang, Kaishun Wu, Liang‐Jie Zhang	0
3	Unveiling user interests: A deep user interest exploration network for sequential location recommendation 2024 ·Information Sciences ·(unknown), Jingcai Guo, (unknown), Kaishun Wu, Liang‐Jie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong	0
4	Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning 2024 ·IEEE Transactions on Mobile Computing ·Jie Zhang, Song Guo, (unknown), Wenchao Xu, (unknown), Jingcai Guo, Zicong Hong, (unknown)	1
5	Multimodal Dual-Embedding Networks for Malware Open-Set Recognition 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·Jingcai Guo, (unknown), Yuanyuan Xu, Wenchao Xu, (unknown), (unknown), Song Guo	7
6	C²KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo	9
7	FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model 2024 ·PolyU Institutional Research Archive (Hong Kong Polytechnic University) ·(unknown), Jingcai Guo, (unknown), Song Guo	0
8	Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, (unknown)	3
9	Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Song Guo, Jingcai Guo, (unknown), Weizhan Zhang, Qinghua Zheng, Jie Zhang	0
10	Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition 2024 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Yang Chen, Jingcai Guo, (unknown), (unknown), (unknown)	1
11	SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection 2024 ·IEEE Transactions on Neural Networks and Learning Systems ·(unknown), Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo	10
12	Vision-Language Meets the Skeleton: Progressively Distillation With Cross-Modal Knowledge for 3D Action Representation Learning 2024 ·IEEE Transactions on Multimedia ·Yang Chen, (unknown), (unknown), (unknown), Jingcai Guo, Ting Hu, Hong Cheng	0
13	ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning 2024 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, (unknown), (unknown)	2
14	UTDNet: A unified triplet decoder network for multimodal salient object detection 2023 ·Neural Networks ·Fushuo Huo, (unknown), Jingcai Guo, Wenchao Xu, Song Guo	12
15	Towards performance-maximizing neural network pruning via global channel attention 2023 ·Neural Networks ·(unknown), Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, (unknown)	11
16	Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition 2023 ·Proceedings of the AAAI Conference on Artificial Intelligence ·Jingcai Guo, Song Guo, (unknown), Ziming Liu, (unknown), Fushuo Huo	12
17	Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning 2021 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·(unknown), Song Guo, Zhihao Qu, Jingcai Guo, (unknown), Jiewei Zhang, (unknown), (unknown), Jingren Zhou	9
18	Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Jingcai Guo, Song Guo	6
19	AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Jingcai Guo, Song Guo	2
20	EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach 2019 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Jingcai Guo, Song Guo	1

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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