Jingcai Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 59

Top Topics

Learning Systems

Object Detection

Video Streaming

Invariant Representations

Top Venues

IEEE Trans. Multim.

Publications

Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR (2024)
Yang Chen, Jingcai Guo, Tian He, Ling Wang
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition. CoRR (2024)
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR (2024)
Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. AAAI (2024)
Sikai Bai, Jie Zhang, Shuaicheng Li, Song Guo, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. CoRR (2024)
Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. ICLR (2024)
Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. CoRR (2024)
Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou
PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo
UTDNet: A unified triplet decoder network for multimodal salient object detection. Neural Networks 170 (2024)
Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. AAAI (2024)
Yang Chen, Tian He, Junfeng Fu, Ling Wang, Jingcai Guo, Hong Cheng
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning. CoRR (2024)
Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. AAAI (2024)
Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang
Towards performance-maximizing neural network pruning via global channel attention. Neural Networks 171 (2024)
Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. CoRR (2023)
Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR (2023)
Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. CoRR (2023)
Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR (2023)
Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang
GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. CoRR (2023)
Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. IEEE Trans. Computers 72 (10) (2023)
Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. CoRR (2023)
Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention. IEEE Trans. Multim. 25 (2023)
Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang
ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. CoRR (2023)
Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. CoRR (2023)
Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report. CoRR (2023)
Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning. CoRR (2023)
Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng
SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. CoRR (2023)
Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. CoRR (2023)
Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia
Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. ICDCS (2023)
Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. IJCNN (2023)
Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu
CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario. CoRR (2023)
Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario. IEEE Trans. Neural Networks Learn. Syst. 34 (2) (2023)
Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han
DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. CoRR (2023)
Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo
Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. CoRR (2023)
Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo
(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. CVPR (2023)
Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI (2023)
Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention. CoRR (2022)
Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CoRR (2022)
Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu
Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. CoRR (2022)
Xueyang Tang, Song Guo, Jingcai Guo
Personalized Federated Learning with Contextualized Generalization. IJCAI (2022)
Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. CoRR (2022)
Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. CoRR (2022)
Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning. CoRR (2022)
Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu
ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR (2022)
Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet Things J. 8 (15) (2021)
Jingcai Guo
Learning Robust Visual-semantic Mapping for Zero-shot Learning. CoRR (2021)
Jingcai Guo, Song Guo
A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. IEEE Trans. Multim. 23 (2021)
Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou
Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX Annual Technical Conference (2021)
Xueyang Tang, Song Guo, Jingcai Guo
Personalized Federated Learning with Clustered Generalization. CoRR (2021)
Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo
Dual-view Attention Networks for Single Image Super-Resolution. ACM Multimedia (2020)
Jingcai Guo, Song Guo
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. CoRR (2020)
Jingcai Guo, Song Guo
Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition. ICASSP (2019)
Jingcai Guo, Song Guo
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. CoRR (2019)
Jingcai Guo, Song Guo
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition. CoRR (2019)
Jingcai Guo, Song Guo
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. ICME (2019)
Jingcai Guo, Song Guo
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. ICASSP (2019)
Jingcai Guo, Shiheng Ma, Song Guo
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution. CoRR (2019)
Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo
Position-Aware Convolutional Networks for Traffic Prediction. CoRR (2019)
Jingcai Guo, Song Guo
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. CoRR (2019)
Jingcai Guo
An improved incremental training approach for large scaled dataset based on support vector machine. BDCAT (2016)