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Journal Articles
- 2024
[j8]Fushuo Huo
, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo:
UTDNet: A unified triplet decoder network for multimodal salient object detection. Neural Networks 170: 521-534 (2024)- [j7]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: 104-113 (2024) - [j6]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): 3938-3954 (2024) - 2023
- [j5]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): 2888-2901 (2023) - [j4]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: 7441-7455 (2023) - [j3]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): 662-676 (2023) - 2021
- [j2]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): 11916-11934 (2021) - [j1]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: 524-537 (2021)
Conference and Workshop Papers
- 2024
- [c17]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: 12689-12697 - [c16]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: 12698-12707 - [c15]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: 17123-17131 - [c14]Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo:
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. ICLR 2024 - [c13]Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu:
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. ICML 2024 - 2023
- [c12]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: 7775-7783 - [c11]Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo:
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR 2023: 23560-23569 - [c10]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: 23859-23868 - [c9]Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia:
Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. ICDCS 2023: 534-544 - [c8]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: 1-8 - 2022
- [c7]Xueyang Tang, Song Guo, Jingcai Guo:
Personalized Federated Learning with Contextualized Generalization. IJCAI 2022: 2241-2247 - 2021
- [c6]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 ATC 2021: 177-191 - 2020
- [c5]Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo:
Dual-view Attention Networks for Single Image Super-Resolution. ACM Multimedia 2020: 2728-2736 - 2019
- [c4]Jingcai Guo, Song Guo:
Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition. ICASSP 2019: 3287-3291 - [c3]Jingcai Guo, Song Guo:
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. ICASSP 2019: 3517-3521 - [c2]Jingcai Guo, Song Guo:
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. ICME 2019: 73-78 - 2016
- [c1]Jingcai Guo:
An improved incremental training approach for large scaled dataset based on support vector machine. BDCAT 2016: 149-157
Informal and Other Publications
- 2024
- [i35]Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao:
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR abs/2401.17766 (2024) - [i34]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 abs/2403.08506 (2024) - [i33]Yang Chen, Jingcai Guo, Tian He, Ling Wang:
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition. CoRR abs/2404.07487 (2024) - [i32]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 abs/2404.16348 (2024) - [i31]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 abs/2405.20606 (2024) - [i30]Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo:
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. CoRR abs/2407.05005 (2024) - 2023
- [i29]Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang:
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning. CoRR abs/2302.04453 (2023) - [i28]Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang:
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. CoRR abs/2302.04464 (2023) - [i27]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 abs/2303.10891 (2023) - [i26]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 abs/2305.01236 (2023) - [i25]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 abs/2305.01239 (2023) - [i24]Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo:
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. CoRR abs/2305.01245 (2023) - [i23]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 abs/2305.11615 (2023) - [i22]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 abs/2306.00714 (2023) - [i21]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 abs/2307.01750 (2023) - [i20]Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia:
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report. CoRR abs/2308.10298 (2023) - [i19]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 abs/2309.00923 (2023) - [i18]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 abs/2311.14750 (2023) - [i17]Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang:
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. CoRR abs/2311.14926 (2023) - [i16]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 abs/2312.09709 (2023) - 2022
- [i15]Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo:
Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention. CoRR abs/2203.03483 (2022) - [i14]Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu:
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. CoRR abs/2208.12044 (2022) - [i13]Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu:
CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. CoRR abs/2211.08428 (2022) - [i12]Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo:
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CoRR abs/2211.10681 (2022) - [i11]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 abs/2211.12417 (2022) - [i10]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 abs/2212.03537 (2022) - [i9]Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang:
Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning. CoRR abs/2212.09458 (2022) - 2021
- [i8]Jingcai Guo:
Learning Robust Visual-semantic Mapping for Zero-shot Learning. CoRR abs/2104.05668 (2021) - [i7]Xueyang Tang, Song Guo, Jingcai Guo:
Personalized Federated Learning with Clustered Generalization. CoRR abs/2106.13044 (2021) - 2020
- [i6]Jingcai Guo, Song Guo:
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. CoRR abs/2004.14795 (2020) - 2019
- [i5]Jingcai Guo, Song Guo:
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition. CoRR abs/1904.00170 (2019) - [i4]Jingcai Guo, Song Guo:
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. CoRR abs/1904.00172 (2019) - [i3]Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo:
Position-Aware Convolutional Networks for Traffic Prediction. CoRR abs/1904.06187 (2019) - [i2]Jingcai Guo, Shiheng Ma, Song Guo:
MAANet: Multi-view Aware Attention Networks for Image Super-Resolution. CoRR abs/1904.06252 (2019) - [i1]Jingcai Guo, Song Guo:
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. CoRR abs/1904.06254 (2019)
Coauthor Index
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