An improved incremental training approach for large scaled dataset based on support vector machine. - Jingcai Guo (BDCAT, 2016)

Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition. - Jingcai Guo; Song Guo 001 (ICASSP, 2019)

EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. - Jingcai Guo; Song Guo 001 (ICASSP, 2019)

AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. - Jingcai Guo; Song Guo 001 (ICME, 2019)

Position-Aware Convolutional Networks for Traffic Prediction. - Shiheng Ma; Jingcai Guo; Song Guo 001; Minyi Guo (CoRR, 2019)

MAANet: Multi-view Aware Attention Networks for Image Super-Resolution. - Jingcai Guo; Shiheng Ma; Song Guo 001 (CoRR, 2019)

Dual-view Attention Networks for Single Image Super-Resolution. - Jingcai Guo; Shiheng Ma; Jie Zhang 076; Qihua Zhou; Song Guo 001 (ACM Multimedia, 2020)

Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. - Qihua Zhou; Song Guo 001; Zhihao Qu; Jingcai Guo; Zhenda Xu; Jiewei Zhang; Tao Guo 004; Boyuan Luo; Jingren Zhou 001 (USENIX ATC, 2021)

Learning Robust Visual-semantic Mapping for Zero-shot Learning. - Jingcai Guo (CoRR, 2021)

Personalized Federated Learning with Clustered Generalization. - Xueyang Tang; Song Guo 001; Jingcai Guo (CoRR, 2021)

On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. - Qihua Zhou; Zhihao Qu; Song Guo 001; Boyuan Luo; Jingcai Guo; Zhenda Xu; Rajendra Akerkar (IEEE Internet Things J., 2021)

A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. - Jingcai Guo; Song Guo 001 (IEEE Trans. Multim., 2021)

Personalized Federated Learning with Contextualized Generalization. - Xueyang Tang; Song Guo 001; Jingcai Guo (IJCAI, 2022)

Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. - Jingcai Guo; Song Guo 001; Jie Zhang 076; Ziming Liu (CoRR, 2022)

CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. - Qihua Zhou; Ruibin Li; Song Guo 001; Yi Liu 057; Jingcai Guo; Zhenda Xu (CoRR, 2022)

ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. - Fushuo Huo; Wenchao Xu 001; Song Guo 001; Jingcai Guo; Haozhao Wang; Ziming Liu (CoRR, 2022)

Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. - Yingchun Wang; Song Guo 001; Jingcai Guo; Weizhan Zhang; Richard Yida Xu; Jie Zhang 076; Yi Liu 057 (CoRR, 2022)

Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning. - Yingchun Wang; Jingcai Guo; Song Guo 001; Weizhan Zhang; Jie Zhang 076 (CoRR, 2022)

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. - Jingcai Guo; Song Guo 001; Qihua Zhou; Ziming Liu; Xiaocheng Lu; Fushuo Huo (AAAI, 2023)

(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. - Ziming Liu; Song Guo 001; Xiaocheng Lu; Jingcai Guo; Jiewei Zhang; Yue Zeng 002; Fushuo Huo (CVPR, 2023)

Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. - Xiaocheng Lu; Song Guo 001; Ziming Liu; Jingcai Guo (CVPR, 2023)

Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. - Tianyu Qi; Yufeng Zhan; Peng Li 017; Jingcai Guo; Yuanqing Xia (ICDCS, 2023)

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. - Yingchun Wang; Jingcai Guo; Jie Zhang 076; Song Guo 001; Weizhan Zhang; Qinghua Zheng (IJCNN, 2023)

Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning. - Yingchun Wang; Jingcai Guo; Song Guo 001; Weizhan Zhang (CoRR, 2023)

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. - Yingchun Wang; Jingcai Guo; Song Guo 001; Weizhan Zhang (CoRR, 2023)

Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. - Fushuo Huo; Wenchao Xu 001; Jingcai Guo; Haozhao Wang; Yunfeng Fan; Song Guo 001 (CoRR, 2023)

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario. - Jingcai Guo; Song Guo 001; Shiheng Ma; Yuxia Sun; Yuanyuan Xu 004 (CoRR, 2023)

DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. - Xiaocheng Lu; Ziming Liu; Song Guo 001; Jingcai Guo; Fushuo Huo; Sikai Bai; Tao Han (CoRR, 2023)

MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. - Jingcai Guo; Yuanyuan Xu 004; Wenchao Xu 001; Yufeng Zhan; Yuxia Sun; Song Guo 001 (CoRR, 2023)

SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. - Yingchun Wang; Jingcai Guo; Yi Liu 057; Song Guo 001; Weizhan Zhang; Xiangyong Cao; Qinghua Zheng (CoRR, 2023)

Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. - Ruibin Li; Qihua Zhou; Song Guo 001; Jie Zhang 076; Jingcai Guo; Xinyang Jiang; Yifei Shen; Zhenhua Han (CoRR, 2023)

Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report. - Tianyu Qi; Yufeng Zhan; Peng Li 017; Jingcai Guo; Yuanqing Xia (CoRR, 2023)

GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. - Ziming Liu; Jingcai Guo; Xiaocheng Lu; Song Guo 001; Peiran Dong; Jiewei Zhang (CoRR, 2023)

Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Xiaocheng Lu; Qihua Zhou; Jie Zhang 076; Kang Wei; Chenxin Li; Song Guo 001 (CoRR, 2023)

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. - Ruibin Li; Jingcai Guo; Song Guo 001; Qihua Zhou; Jie Zhang 076 (CoRR, 2023)

ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. - Jingcai Guo; Qihua Zhou; Ruibing Li; Xiaocheng Lu; Ziming Liu; Junyang Chen 001; Xin Xie 001; Jie Zhang 076 (CoRR, 2023)

Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention. - Ziming Liu; Song Guo 001; Jingcai Guo; Yuanyuan Xu 004; Fushuo Huo (IEEE Trans. Multim., 2023)

Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario. - Jingcai Guo; Song Guo 001; Shiheng Ma; Yuxia Sun; Yuanyuan Xu 004 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. - Jie Zhang 076; Song Guo 001; Jingcai Guo; Deze Zeng; Jingren Zhou 001; Albert Y. Zomaya (IEEE Trans. Computers, 2023)

ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. - Fushuo Huo; Wenchao Xu 001; Song Guo 001; Jingcai Guo; Haozhao Wang; Ziming Liu; Xiaocheng Lu (AAAI, 2024)

Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. - Fushuo Huo; Wenchao Xu 001; Jingcai Guo; Haozhao Wang; Yunfeng Fan (AAAI, 2024)

On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. - Qihua Zhou; Jingcai Guo; Song Guo 001; Ruibin Li; Jie Zhang 076; Bingjie Wang; Zhenda Xu (AAAI, 2024)

DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. - Sikai Bai; Jie Zhang 076; Song Guo 001; Shuaicheng Li; Jingcai Guo; Jun Hou; Tao Han; Xiaocheng Lu (CVPR, 2024)

C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation. - Fushuo Huo; Wenchao Xu 001; Jingcai Guo; Haozhao Wang; Song Guo 001 (CVPR, 2024)

Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. - Yichen Li 006; Wenchao Xu 001; Haozhao Wang; Yining Qi; Jingcai Guo; Ruixuan Li 001 (ECCV (46), 2024)

Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. - Xueyang Tang; Song Guo 001; Jie Zhang 076; Jingcai Guo (ICLR, 2024)

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. - Xueyang Tang; Song Guo 001; Jingcai Guo; Jie Zhang 076; Yue Yu 001 (ICML, 2024)

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. - Jingcai Guo; Qihua Zhou; Xiaocheng Lu; Ruibin Li; Ziming Liu; Jie Zhang 076; Bo Han; Junyang Chen 001; Xin Xie 001; Song Guo 001 (IJCAI, 2024)

Dual Expert Distillation Network for Generalized Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Xiaocheng Lu; Jingming Liang; Jie Zhang 076; Haozhao Wang; Kang Wei; Xiaofeng Cao (IJCAI, 2024)

Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition. - Yang Chen 039; Jingcai Guo; Tian He; Xiaocheng Lu; Ling Wang 013 (ACM Multimedia, 2024)

FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. - Ruibin Li; Jingcai Guo; Qihua Zhou; Song Guo 001 (ACM Multimedia, 2024)

SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization. - Yingchun Wang; Jingcai Guo; Song Guo 001; Yi Liu 057; Jie Zhang 076; Weizhan Zhang (ACM Multimedia, 2024)

Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures. - Yadong Sun; Xiaofeng Cao; Yu Wang; Wei Ye; Jingcai Guo; Qing Guo (NeurIPS, 2024)

Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. - Jingcai Guo; Zhijie Rao; Song Guo 001; Jingren Zhou 001; Dacheng Tao (CoRR, 2024)

Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition. - Yang Chen 039; Jingcai Guo; Tian He; Ling Wang 013 (CoRR, 2024)

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning. - Yang Chen 039; Tian He; Junfeng Fu; Ling Wang 013; Jingcai Guo; Hong Cheng 002 (CoRR, 2024)

On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey. - Jingcai Guo; Zhijie Rao; Zhi Chen 010; Song Guo 001; Jingren Zhou 001; Dacheng Tao (CoRR, 2024)

TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. - Miaoge Li; Jingcai Guo; Richard Yi Da Xu; Dongsheng Wang; Xiaofeng Cao; Song Guo 001 (CoRR, 2024)

GWQ: Gradient-Aware Weight Quantization for Large Language Models. - Yihua Shao; Siyu Liang; Xiaolin Lin; Zijian Ling; Zixian Zhu; Minxi Yan; Haiyang Liu; Siyu Chen; Ziyang Yan; Yilan Meng; Chenyu Zhang; Haotong Qin; et al. (CoRR, 2024)

UTDNet: A unified triplet decoder network for multimodal salient object detection. - Fushuo Huo; Ziming Liu; Jingcai Guo; Wenchao Xu 001; Song Guo 001 (Neural Networks, 2024)

Towards performance-maximizing neural network pruning via global channel attention. - Yingchun Wang; Song Guo 001; Jingcai Guo; Jie Zhang 076; Weizhan Zhang; Caixia Yan; Yuanhong Zhang (Neural Networks, 2024)

PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. - Qihua Zhou; Song Guo 001; Jun Pan; Jiacheng Liang; Jingcai Guo; Zhenda Xu; Jingren Zhou 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Concept Matching with Agent for Out-of-Distribution Detection. - Yuxiao Lee; Xiaofeng Cao; Jingcai Guo; Wei Ye; Qing Guo; Yi Chang (AAAI, 2025)

Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. - Ziming Liu; Jingcai Guo; Song Guo 001; Xiaocheng Lu (AAAI, 2025)

DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. - Qihua Zhou; Ruibin Li; Jingcai Guo; Yaodong Huang; Zhenda Xu; Laizhong Cui; Song Guo 001 (AAAI, 2025)

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition. - Yang Chen 039; Jingcai Guo; Song Guo 001; Dacheng Tao (CVPR, 2025)

Unveiling user interests: A deep user interest exploration network for sequential location recommendation. - Junyang Chen 001; Jingcai Guo; Qin Zhang 011; Kaishun Wu; Liangjie Zhang; Victor C. M. Leung; Huan Wang 005; Zhiguo Gong (Inf. Sci., 2025)

Vision-Language Meets the Skeleton: Progressively Distillation With Cross-Modal Knowledge for 3D Action Representation Learning. - Yang Chen 039; Tian He; Junfeng Fu; Ling Wang 013; Jingcai Guo; Ting Hu; Hong Cheng 002 (IEEE Trans. Multim., 2025)

Reliable Service Recommendation: A Multi-Modal Adversarial Method for Personalized Recommendation Under Uncertain Missing Modalities. - Junyang Chen 001; Ruohan Yang; Jingcai Guo; Huan Wang 005; Kaishun Wu; Liang-Jie Zhang (IEEE Trans. Serv. Comput., 2025)

Towards Robust and Realistic Human Pose Estimation via WiFi Signals. - Yang Chen 039; Jingcai Guo; Song Guo 001; Jingren Zhou 001; Dacheng Tao (CoRR, 2025)

Exploring Transferable Homogeneous Groups for Compositional Zero-Shot Learning. - Zhijie Rao; Jingcai Guo; Miaoge Li; Yang Chen 039 (CoRR, 2025)

On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning. - Tianqi Wang; Jingcai Guo; Depeng Li 001; Zhi Chen 010 (CoRR, 2025)

In-Context Meta LoRA Generation. - Yihua Shao; Minxi Yan; Yang Liu 360; Siyu Chen; Wenjie Chen; Xinwei Long; Ziyang Yan; Lei Li; Chenyu Zhang; Nicu Sebe; Hao Tang 005; Yan Wang 068; et al. (CoRR, 2025)

Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning. - Jie Zhang 076; Song Guo 001; Xiaosong Ma; Wenchao Xu 001; Qihua Zhou; Jingcai Guo; Zicong Hong; Jun Shan (IEEE Trans. Mob. Comput., 2025)

FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. - Yuxia Sun; Aoxiang Sun; Siyi Pan; Zhixiao Fu; Jingcai Guo (CoRR, 2025)

RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization. - Yuxia Sun; Huihong Chen; Jingcai Guo; Aoxiang Sun; Zhetao Li; Haolin Liu (CoRR, 2025)

TR-DQ: Time-Rotation Diffusion Quantization. - Yihua Shao; Deyang Lin; Fanhu Zeng; Minxi Yan; Muyang Zhang; Siyu Chen; Yuxuan Fan; Ziyang Yan; Haozhe Wang 002; Jingcai Guo; Yan Wang 068; Haotong Qin; et al. (CoRR, 2025)

SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning. - Zhi Chen 010; Zecheng Zhao; Jingcai Guo; Jingjing Li 001; Zi Huang (CoRR, 2025)

Multimodal Dual-Embedding Networks for Malware Open-Set Recognition. - Jingcai Guo; Han Wang; Yuanyuan Xu 004; Wenchao Xu 001; Yufeng Zhan; Yuxia Sun; Song Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning. - Yingchun Wang; Song Guo 001; Jingcai Guo; Yuanhong Zhang; Weizhan Zhang; Qinghua Zheng; Jie Zhang 076 (IEEE Trans. Neural Networks Learn. Syst., 2025)

SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection. - Zhijie Rao; Jingcai Guo; Luyao Tang; Yue Huang 001; Xinghao Ding; Song Guo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

KG-Augmented Executable CoT for Mathematical Coding. - Xingyu Chen; Junxiu An; Jun Guo; Li Wang; Jingcai Guo (CoRR, 2025)

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation. - Yihua Shao; Xiaofeng Lin; Xinwei Long; Siyu Chen; Minxi Yan; Yang Liu 360; Ziyang Yan; Ao Ma; Hao Tang 005; Jingcai Guo (CoRR, 2025)

CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media. - Junyang Chen 001; Jingcai Guo; Xueliang Li 002; Huan Wang 005; Zhenghua Xu 001; Zhiguo Gong; Liang-Jie Zhang; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2025)

A Review of Few-Shot and Zero-Shot Learning for Node Classification in Social Networks. - Junyang Chen 001; Rui Mi; Huan Wang 005; Huisi Wu; Jiqian Mo; Jingcai Guo; Zhihui Lai 001; Liang-Jie Zhang; Victor C. M. Leung (IEEE Trans. Comput. Soc. Syst., 2025)