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2020 – today
- 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)- [i22]Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang:
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning. CoRR abs/2302.04453 (2023) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - 2022
- [c7]Xueyang Tang, Song Guo, Jingcai Guo:
Personalized Federated Learning with Contextualized Generalization. IJCAI 2022: 2241-2247 - [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
- [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) - [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 Annual Technical Conference 2021: 177-191 - [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
- [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 - [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)
2010 – 2019
- 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 - [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) - 2016
- [c1]Jingcai Guo:
An improved incremental training approach for large scaled dataset based on support vector machine. BDCAT 2016: 149-157
Coauthor Index
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last updated on 2023-05-26 18:38 CEST by the dblp team
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