Publications

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2025

Balancing Cross-Modal Attention for Generalized Zero-Shot Learning
Balancing Cross-Modal Attention for Generalized Zero-Shot Learning
Data
Z. Rao, J. Guo#
ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2025.
Topic Guided Multi-faceted Semantic Disentanglement for CTR Prediction
Topic Guided Multi-faceted Semantic Disentanglement for CTR Prediction
APPs
F. Li, Z. Yin, H. Liu, J. Guo#, J. He, Y. LI, C. Zhou, J. Zhang, H. Gu
ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2025.
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation
APPs
M. Wang, H. Su, J. Li, C. Li, N. Yin, L. Shen, J. Guo#
International Conference on Machine Learning (ICML, CCF-A/Core-A*), 2025.
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning
Data
Z. Chen, Z. Zhao, J. Guo, J. Li, Z. Huang
IEEE/CVF International Conference on Computer Vision (ICCV, CCF-A/Core-A*), 2025.
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns
Data
X. Jiang, B. He, P. Zhou, X. Chen, J. Guo, J. Xu, Y. Liao
IEEE/CVF International Conference on Computer Vision (ICCV, CCF-A/Core-A*), 2025.
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning
Data
M. Li, J. Guo#, Y. Xu, D. Wang, X. Cao, Z. Rao, S. Guo
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2025.
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning
Data
Z. Rao, J. Guo#, M. Li, Y. Chen, M. Wang
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2025.
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
Data
T. Wang, J. Guo#, D. Li, Z. Chen
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2025.
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
Capability
Y. Sun, A. Sun, S. Pan, Z. Fu, J. Guo#
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2025.
In Context Meta LoRA Generation
In Context Meta LoRA Generation
Capability
Y. Shao, M. Yan, Y. Liu, S. Chen, W. Chen, X. Long, Z. Yan, L. Li, C. Zhang, N. Sebe, H. Tang, Y. Wang, H. Zhao, M. Wang, J. Guo#
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2025.
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation
ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation
Capability
J. Li, H. Su, B. Wang, Y. Min, M. Wang, N. Yin, S. Wang, J. Guo#
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2025.
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition
Data
Y. Chen, J. Guo#, S. Guo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2025.
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
Data
Z. Liu, J. Guo#, S. Guo, X. Lu
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2025.
Concept Matching with Agent for Out-of-Distribution Detection
Concept Matching with Agent for Out-of-Distribution Detection
Data
Y, Lee, X. Cao, J. Guo, W. Ye, Q. Guo, Y. Chang
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2025.
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement
APPs
Q. Zhou, R. Li, J. Guo, Y. Huang, Z. Xu, L. Cui, S. Guo
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2025.
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
APPs
Z. Rao, J. Guo#, L. Tang, Y. Huang, X. Ding, S. Guo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=14.255/JCR-Q1), 2025.
A Paradigm of Temporal-Weather-Aware Transition Pattern for POI Recommendation
A Paradigm of Temporal-Weather-Aware Transition Pattern for POI Recommendation
APPs
J. Chen, J. Guo#, H. Wang, Z. Lai, Q. Zhang, K. Wu, L. Zhang
CAAI Transactions on Intelligence Technology (TIT, IF=8.4/JCR-Q1), 2025.
A Multi-Modal Adversarial Method for Personalized Recommendation under Uncertain Missing Modalities
A Multi-Modal Adversarial Method for Personalized Recommendation under Uncertain Missing Modalities
APPs
J. Chen, J. Guo#, H. Wang, Z. Lai, Q. Zhang, K. Wu, L. Zhang
IEEE Transactions on Services Computing (TSC, IF=5.5/JCR-Q1), 2025.

2024

ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning
Data
J. Guo#, Q. Zhou, X. Lu, R. Li, Z. Liu, J. Zhang, B. Han, J. Chen, X. Xie, S. Guo
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2024
long oral, acceptance rate ~= 2.3% (128/5651).
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Data
Z. Rao, J. Guo#, X. Lu, J. Liang, J. Zhang, H. Wang, K. Wei, X. Cao
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2024
long oral, acceptance rate ~= 2.3% (128/5651).
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition
Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition
Data
Y. Chen, J. Guo#, T. He, X. Lu, L. Wang
ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2024.
SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization
SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization
Capability
Y. Wang, J. Guo#, S. Guo, Y. Liu, J. Zhang, W. Zhang
ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2024.
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model
FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model
APPs
R. Li, J. Guo#, Q. Zhou, S. Guo
ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2024.
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization
Capability
X. Tang, S. Guo, J. Guo#, J. Zhang, Y. Yu
International Conference on Machine Learning (ICML, CCF-A/Core-A*), 2024.
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures
Capability
Y. Sun, X. Cao, Y. Wang, W. Ye, J. Guo, Q. Guo
Annual Conference on Neural Information Processing Systems (NeurIPS, CCF-A/Core-A*), 2024.
CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media
CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media
APPs
J. Chen, J. Guo#, X. Li, H. Wang, Z. Xu, Z. Gong, L. Zhang, VCM. Leung
IEEE Transactions on Computational Social Systems (TCSS, IF=5.0/JCR-Q1), 2024.
A Review of Few-shot and Zero-shot Learning for Node Classification in Social Networks
A Review of Few-shot and Zero-shot Learning for Node Classification in Social Networks
APPs
J. Chen, R. Mi, H. Wang, H. Wu, J. Mo, J. Guo, Z. Lai, L. Zhang, VCM. Leung
IEEE Transactions on Computational Social Systems (TCSS, IF=5.0/JCR-Q1), 2024.
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation
Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation
APPs
Y. Chen, T. He, J. Fu, L. Wang, J. Guo, H. Cheng
IEEE Transactions on Multimedia (TMM, IF=8.4/JCR-Q1), 2024.
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning
Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning
Capability
J. Zhang, S. Guo, X. Ma, W. Xu, Q. Zhou, J. Guo, Z. Hong, J. Shan
IEEE Transactions on Mobile Computing (TMC, IF=7.7/JCR-Q1), 2024.
Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching
Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching
Capability
Y. Li, W. Xu, H. Wang, R. Li, Y. Qi, J. Guo
European Conference on Computer Vision (ECCV, CCF-B/Core-A*), 2024.
Multi-modal Dual-embedding Networks for Malware Open-set Recognition
Multi-modal Dual-embedding Networks for Malware Open-set Recognition
APPs
J. Guo, H. Wang, Y. Xu, W. Xu, Y. Zhan, Y. Sun, S. Guo
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=14.255/JCR-Q1), 2024.
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Capability
Y. Wang, S. Guo, J. Guo#, Y. Zhang, W. Zhang, Q. Zheng, J. Zhang
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=14.255/JCR-Q1), 2024.
Unveiling User Interests: A Deep User Interest Exploration Network for Sequential Location Recommendation
Unveiling User Interests: A Deep User Interest Exploration Network for Sequential Location Recommendation
APPs
J. Chen, J. Guo, Q. Zhang, K. Wu, L. Zhang, VCM. Leung, H. Wang, Z. Gong
Information Sciences (INS, IF=8.1/JCR-Q1), 2024.
On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks
On the Robustness of Neural-enhanced Video Streaming Against Adversarial Attacks
Data
Q. Zhou, J. Guo#, S. Guo, R. Li, J. Zhang, B. Wang, Z. Xu
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2024.
ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning
Data
F. Huo, W. Xu, S. Guo, J. Guo#, H. Wang, Z. Liu, X. Lu
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2024.
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement
Data
F. Huo, W. Xu, J. Guo, H. Wang, Y. Fan
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2024.
PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception
PASS: Patch Automatic Skip Scheme for Efficient On-device Video Perception
Capability
Q. Zhou, S. Guo, J. Pan, J. Liang, J. Guo#, Z. Xu, J. Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF=24.314/JCR-Q1), 2024.
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Capability
X. Tang, S. Guo, J. Zhang, J. Guo
International Conference on Learning Representations (ICLR, CCF-A/Core-A*), 2024.
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Capability
S. Bai, J. Zhang, S. Guo, S. Li, J. Guo, J. Hou, T. Han, X. Lu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2024.
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation,
C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation,
APPs
F. Huo, W. Xu, J. Guo, H. Wang, Song Guo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2024.

2023

Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition
Data
J. Guo, S. Guo, Q. Zhou, Z. Liu, X. Lu, F. Huo
AAAI Conference on Artificial Intelligence (AAAI, CCF-A/Core-A*), 2023.
(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
Data
Z. Liu, S. Guo, X. Lu, J. Guo#, J. Zhang, Y. Zeng, F. Huo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2023.
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning
Data
X. Lu, S. Guo, Z. Liu, J. Guo#
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A/Core-A*), 2023.
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning
Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning
Capability
J. Zhang, S. Guo, J. Guo#, D. Zeng, J. Zhou, A. Zomaya
IEEE Transactions on Computers (TC, CCF-A), 2023.
UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection
UTDNet: A Unified Triplet Decoder Network for Multimodal Salient Object Detection
APPs
F. Huo, Z. Liu, J. Guo#, W. Xu, S. Guo
Neural Networks (NN, IF=9.657/JCR-Q1), 2023.
Towards performance-maximizing neural network pruning via global channel attention
Towards performance-maximizing neural network pruning via global channel attention
Capability
Y. Wang, S. Guo, J. Guo, J. Zhang, W. Zhang, C. Yan, Y. Zhang
Neural Networks (NN, IF=9.657/JCR-Q1), 2023.
Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning
Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning
Capability
T. Qi, Y. Zhan, P. Li, J. Guo, Y. Xia
IEEE International Conference on Distributed Computing Systems (ICDCS, CCF-B/Core-A), 2023.
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models
Capability
Y. Wang, J. Guo, J. Zhang, S. Guo, W. Zhang, Q. Zheng
International Joint Conference on Neural Networks (IJCNN, Core-B), 2023.

2022 and before

Personalized Federated Learning with Contextualized Generalization
Personalized Federated Learning with Contextualized Generalization
Capability
X. Tang, S. Guo, J. Guo#
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A/Core-A*), 2022.
Towards Unbiased Multi-Label Zero-Shot Learning with Pyramid and Semantic Attention
Towards Unbiased Multi-Label Zero-Shot Learning with Pyramid and Semantic Attention
Data
Z. Liu, S. Guo, J. Guo#, Y. Xu, F. Huo
IEEE Transactions on Multimedia (TMM, IF=8.4/JCR-Q1), 2022.
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario
Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario
APPs
J. Guo, S. Guo, S. Ma, Y. Sun, Y. Xu
IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IF=14.255/JCR-Q1), 2021.
Outstanding Paper Award of GDCA
INT8 Training with Loss-Aware Compensation and Backward Quantization for Tiny On-Device Learning
INT8 Training with Loss-Aware Compensation and Backward Quantization for Tiny On-Device Learning
Capability
Q. Zhou, S. Guo, Z. Qu, J. Guo, Z. Xu, J. Zhang, T. Guo, B. Luo, J. Zhou
USENIX Annual Technical Conference (USENIX-ATC, CCF-A/Core-A*), 2021.
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective
On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective
Capability
Q. Zhou, Z. Qu, S. Guo, B. Luo, J. Guo, Z. Xu, R. Akerkar
IEEE Internet of Things Journal (IoT-J, IF=10.6/JCR-Q1), 2021.
Dual-View Attention Networks for Single Image Super-Resolution
Dual-View Attention Networks for Single Image Super-Resolution
APPs
J. Guo, S. Ma, J. Zhang, Q. Zhou, S. Guo
ACM International Conference on Multimedia (ACM-MM, CCF-A/Core-A*), 2020.
A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion
Data
J. Guo, S. Guo
IEEE Transactions on Multimedia (TMM, IF=8.4/JCR-Q1), 2020.
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition
Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition
Data
J. Guo, S. Guo
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP, CCF-B/Core-B), 2019.
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach
EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach
APPs
J. Guo, S. Guo
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP, CCF-B/Core-B), 2019.
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-Shot Learning
AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-Shot Learning
Data
J. Guo, S. Guo
IEEE International Conference on Multimedia and Expo (ICME, CCF-B/Core-A), 2019.
An improved incremental training approach for large-scaled dataset based on support vector machine
An improved incremental training approach for large-scaled dataset based on support vector machine
Data
J. Guo
IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT), 2016.