Jingcai Guo - RankMe

120 papers A* 34A 2B 1C 1Misc 2Journal 78Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attribute knowledge inheritance and evolution for generalized zero-shot learning. Inf. Sci. Zhijie Rao, Jingcai Guo, Chenxin Li, Song Guo
2026	A*	`conf`	ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation. AAAI Yihua Shao, Xiaofeng Lin, Xinwei Long, Siyu Chen, Minxi Yan, Yang Liu, Ziyang Yan, Ao Ma, Hao Tang, Jingcai Guo
2026	J	`jnl`	Learning Multi-Modal Prototypes for Cross-Domain Few-Shot Object Detection. CoRR Wanqi Wang, Jingcai Guo, Yuxiang Cai, Zhi Chen
2026	A*	`conf`	Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis. AAAI Daixian Liu, Hau-Sing So, Haoran Chen, Jiao Li, Shanshan Wang, Mengzhu Wang, Jingcai Guo
2026	J	`jnl`	Multimodal Visual Surrogate Compression for Alzheimer's Disease Classification. CoRR Dexuan Ding, Ciyuan Peng, Endrowednes Kuantama, Jingcai Guo, Jia Wu, Jian Yang, Amin Beheshti, Ming-Hsuan Yang, Yuankai Qi
2026	J	`jnl`	Nüwa: Mending the Spatial Integrity Torn by VLM Token Pruning. CoRR Yihong Huang, Fei Ma, Yihua Shao, Jingcai Guo, Zitong Yu, Laizhong Cui, Qi Tian
2026	J	`jnl`	PMCE: Probabilistic Multi-Granularity Semantics with Caption-Guided Enhancement for Few-Shot Learning. CoRR Jiaying Wu, Can Gao, Jinglu Hu, Hui Li, Xiaofeng Cao, Jingcai Guo
2026	J	`jnl`	SRSUPM: Sequential Recommender System Based on User Psychological Motivation. CoRR Yicheng Di, Yuan Liu, Zhi Chen, Jingcai Guo
2026	A*	`conf`	TR-DQ: Time-Rotation Diffusion Quantization. AAAI Yihua Shao, Deyang Lin, Minxi Yan, Siyu Chen, Fanhu Zeng, Minwen Liao, Ao Ma, Ziyang Yan, Haozhe Wang, Yan Wang, Zhi Chen, Xiaofeng Cao, Haotong Qin, Hao Tang, Jingcai Guo
2025	J	`jnl`	A Paradigm of Temporal-Weather-Aware Transition Pattern for POI Recommendation. CAAI Trans. Intell. Technol. Junyang Chen, Jingcai Guo, Huan Wang, Zhihui Lai, Qin Zhang, Kaishun Wu, Liang-Jie Zhang
2025	J	`jnl`	A Review of Few-Shot and Zero-Shot Learning for Node Classification in Social Networks. IEEE Trans. Comput. Soc. Syst. Junyang Chen, Rui Mi, Huan Wang, Huisi Wu, Jiqian Mo, Jingcai Guo, Zhihui Lai, Liang-Jie Zhang, Victor C. M. Leung
2025	A*	`conf`	Balancing Cross-Modal Attention for Generalized Zero-Shot Learning. ACM Multimedia Zhijie Rao, Jingcai Guo
2025	J	`jnl`	CGraphNet: Contrastive Graph Context Prediction for Sparse Unlabeled Short Text Representation Learning on Social Media. IEEE Trans. Comput. Soc. Syst. Junyang Chen, Jingcai Guo, Xueliang Li, Huan Wang, Zhenghua Xu, Zhiguo Gong, Liang-Jie Zhang, Victor C. M. Leung
2025	A*	`conf`	Concept Matching with Agent for Out-of-Distribution Detection. AAAI Yuxiao Lee, Xiaofeng Cao, Jingcai Guo, Wei Ye, Qing Guo, Yi Chang
2025	J	`jnl`	Data Quality-Aware Mixed-Precision Quantization via Hybrid Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Yingchun Wang, Song Guo, Jingcai Guo, Yuanhong Zhang, Weizhan Zhang, Qinghua Zheng, Jie Zhang
2025	A*	`conf`	DeNC: Unleash Neural Codecs in Video Streaming with Diffusion Enhancement. AAAI Qihua Zhou, Ruibin Li, Jingcai Guo, Yaodong Huang, Zhenda Xu, Laizhong Cui, Song Guo
2025	A*	`conf`	ESBN: Estimation Shift of Batch Normalization for Source-free Universal Domain Adaptation. IJCAI Jiao Li, Houcheng Su, Bingli Wang, Yuandong Min, Mengzhu Wang, Nan Yin, Shanshan Wang, Jingcai Guo
2025	A*	`conf`	Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. AAAI Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu
2025	J	`jnl`	Exploring Transferable Homogeneous Groups for Compositional Zero-Shot Learning. CoRR Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen
2025	A*	`conf`	Exploring Transferable Homogenous Groups for Compositional Zero-Shot Learning. IJCAI Zhijie Rao, Jingcai Guo, Miaoge Li, Yang Chen, Mengzhu Wang
2025	A*	`conf`	FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. IJCAI Yuxia Sun, Aoxiang Sun, Siyi Pan, Zhixiao Fu, Jingcai Guo
2025	J	`jnl`	FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data. CoRR Yuxia Sun, Aoxiang Sun, Siyi Pan, Zhixiao Fu, Jingcai Guo
2025	J	`jnl`	Fine-Grained Zero-Shot Learning with Attribute-Centric Representations. CoRR Zhi Chen, Jingcai Guo, Taotao Cai, Yuxiang Cai
2025	J	`jnl`	FlowSteer: Guiding Few-Step Image Synthesis with Authentic Trajectories. CoRR Lei Ke, Hubery Yin, Gongye Liu, Zhengyao Lv, Jingcai Guo, Chen Li, Wenhan Luo, Yujiu Yang, Jing Lyu
2025	A*	`conf`	GraphCL: Graph-based Clustering for Semi-Supervised Medical Image Segmentation. ICML Mengzhu Wang, Houcheng Su, Jiao Li, Chuan Li, Nan Yin, Li Shen, Jingcai Guo
2025	J	`jnl`	ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation. CoRR Yihua Shao, Xiaofeng Lin, Xinwei Long, Siyu Chen, Minxi Yan, Yang Liu, Ziyang Yan, Ao Ma, Hao Tang, Jingcai Guo
2025	A*	`conf`	In-Context Meta LoRA Generation. IJCAI Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo
2025	J	`jnl`	In-Context Meta LoRA Generation. CoRR Yihua Shao, Minxi Yan, Yang Liu, Siyu Chen, Wenjie Chen, Xinwei Long, Ziyang Yan, Lei Li, Chenyu Zhang, Nicu Sebe, Hao Tang, Yan Wang, Hao Zhao, Mengzhu Wang, Jingcai Guo
2025	J	`jnl`	KG-Augmented Executable CoT for Mathematical Coding. CoRR Xingyu Chen, Junxiu An, Jun Guo, Li Wang, Jingcai Guo
2025	J	`jnl`	Learning by Neighbor-Aware Semantics, Deciding by Open-form Flows: Towards Robust Zero-Shot Skeleton Action Recognition. CoRR Yang Chen, Miaoge Li, Zhijie Rao, Deze Zeng, Song Guo, Jingcai Guo
2025	J	`jnl`	Model Decomposition and Reassembly for Purified Knowledge Transfer in Personalized Federated Learning. IEEE Trans. Mob. Comput. Jie Zhang, Song Guo, Xiaosong Ma, Wenchao Xu, Qihua Zhou, Jingcai Guo, Zicong Hong, Jun Shan
2025	J	`jnl`	Multimodal Dual-Embedding Networks for Malware Open-Set Recognition. IEEE Trans. Neural Networks Learn. Syst. Jingcai Guo, Han Wang, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo
2025	A*	`conf`	Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition. CVPR Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao
2025	A*	`conf`	On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning. IJCAI Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen
2025	J	`jnl`	On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning. CoRR Tianqi Wang, Jingcai Guo, Depeng Li, Zhi Chen
2025	J	`jnl`	Reliable Service Recommendation: A Multi-Modal Adversarial Method for Personalized Recommendation Under Uncertain Missing Modalities. IEEE Trans. Serv. Comput. Junyang Chen, Ruohan Yang, Jingcai Guo, Huan Wang, Kaishun Wu, Liang-Jie Zhang
2025	J	`jnl`	RoMA: Robust Malware Attribution via Byte-level Adversarial Training with Global Perturbations and Adversarial Consistency Regularization. CoRR Yuxia Sun, Huihong Chen, Jingcai Guo, Aoxiang Sun, Zhetao Li, Haolin Liu
2025	J	`jnl`	SRCD: Semantic Reasoning With Compound Domains for Single-Domain Generalized Object Detection. IEEE Trans. Neural Networks Learn. Syst. Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo
2025	J	`jnl`	SVIP: Semantically Contextualized Visual Patches for Zero-Shot Learning. CoRR Zhi Chen, Zecheng Zhao, Jingcai Guo, Jingjing Li, Zi Huang
2025	J	`jnl`	Semantic-guided LoRA Parameters Generation. CoRR Miaoge Li, Yang Chen, Zhijie Rao, Can Jiang, Jingcai Guo
2025	J	`jnl`	TR-DQ: Time-Rotation Diffusion Quantization. CoRR Yihua Shao, Deyang Lin, Fanhu Zeng, Minxi Yan, Muyang Zhang, Siyu Chen, Yuxuan Fan, Ziyang Yan, Haozhe Wang, Jingcai Guo, Yan Wang, Haotong Qin, Hao Tang
2025	A*	`conf`	Topic Guided Multi-faceted Semantic Disentanglement for CTR prediction. ACM Multimedia Fengxin Li, Zhiqian Yin, Hongyan Liu, Jingcai Guo, Jun He, Yi Li, Chao Zhou, Jun Zhang, Haijie Gu
2025	J	`jnl`	Towards Robust and Realistic Human Pose Estimation via WiFi Signals. CoRR Yang Chen, Jingcai Guo, Song Guo, Jingren Zhou, Dacheng Tao
2025	A*	`conf`	TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. IJCAI Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Zhijie Rao, Song Guo
2025	J	`jnl`	Unveiling user interests: A deep user interest exploration network for sequential location recommendation. Inf. Sci. Junyang Chen, Jingcai Guo, Qin Zhang, Kaishun Wu, Liangjie Zhang, Victor C. M. Leung, Huan Wang, Zhiguo Gong
2025	J	`jnl`	Vision-Language Meets the Skeleton: Progressively Distillation With Cross-Modal Knowledge for 3D Action Representation Learning. IEEE Trans. Multim. Yang Chen, Tian He, Junfeng Fu, Ling Wang, Jingcai Guo, Ting Hu, Hong Cheng
2024	A*	`conf`	C CVPR Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo
2024	A*	`conf`	Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. ICML Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu
2024	A*	`conf`	DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. CVPR Sikai Bai, Jie Zhang, Song Guo, Shuaicheng Li, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
2024	J	`jnl`	DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning. CoRR Sikai Bai, Jie Zhang, Shuaicheng Li, Song Guo, Jingcai Guo, Jun Hou, Tao Han, Xiaocheng Lu
2024	A*	`conf`	Dual Expert Distillation Network for Generalized Zero-Shot Learning. IJCAI Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024	J	`jnl`	Dual Expert Distillation Network for Generalized Zero-Shot Learning. CoRR Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024	J	`jnl`	Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning. CoRR Ziming Liu, Jingcai Guo, Song Guo, Xiaocheng Lu
2024	A*	`conf`	Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition. ACM Multimedia Yang Chen, Jingcai Guo, Tian He, Xiaocheng Lu, Ling Wang
2024	J	`jnl`	Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition. CoRR Yang Chen, Jingcai Guo, Tian He, Ling Wang
2024	J	`jnl`	Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects. CoRR Jingcai Guo, Zhijie Rao, Song Guo, Jingren Zhou, Dacheng Tao
2024	A*	`conf`	FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. ACM Multimedia Ruibin Li, Jingcai Guo, Qihua Zhou, Song Guo
2024	J	`jnl`	GWQ: Gradient-Aware Weight Quantization for Large Language Models. CoRR Yihua Shao, Siyu Liang, Xiaolin Lin, Zijian Ling, Zixian Zhu, Minxi Yan, Haiyang Liu, Siyu Chen, Ziyang Yan, Yilan Meng, Chenyu Zhang, Haotong Qin, Michele Magno, Yang Yang, Zhen Lei, Yan Wang, Jingcai Guo, Ling Shao, Hao Tang
2024	A*	`conf`	Geometry Awakening: Cross-Geometry Learning Exhibits Superiority over Individual Structures. NeurIPS Yadong Sun, Xiaofeng Cao, Yu Wang, Wei Ye, Jingcai Guo, Qing Guo
2024	A*	`conf`	Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients. ICLR Xueyang Tang, Song Guo, Jie Zhang, Jingcai Guo
2024	J	`jnl`	Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition. CoRR Yang Chen, Jingcai Guo, Song Guo, Dacheng Tao
2024	A*	`conf`	Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement. AAAI Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan
2024	J	`jnl`	On the Element-Wise Representation and Reasoning in Zero-Shot Image Recognition: A Systematic Survey. CoRR Jingcai Guo, Zhijie Rao, Zhi Chen, Song Guo, Jingren Zhou, Dacheng Tao
2024	A*	`conf`	On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks. AAAI Qihua Zhou, Jingcai Guo, Song Guo, Ruibin Li, Jie Zhang, Bingjie Wang, Zhenda Xu
2024	J	`jnl`	PASS: Patch Automatic Skip Scheme for Efficient On-Device Video Perception. IEEE Trans. Pattern Anal. Mach. Intell. Qihua Zhou, Song Guo, Jun Pan, Jiacheng Liang, Jingcai Guo, Zhenda Xu, Jingren Zhou
2024	A*	`conf`	ParsNets: A Parsimonious Composition of Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. IJCAI Jingcai Guo, Qihua Zhou, Xiaocheng Lu, Ruibin Li, Ziming Liu, Jie Zhang, Bo Han, Junyang Chen, Xin Xie, Song Guo
2024	—	`conf`	Personalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching. ECCV (46) Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li
2024	J	`jnl`	Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching. CoRR Yichen Li, Wenchao Xu, Haozhao Wang, Ruixuan Li, Yining Qi, Jingcai Guo
2024	A*	`conf`	ProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning. AAAI Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
2024	A*	`conf`	SFP: Spurious Feature-Targeted Pruning for Out-of-Distribution Generalization. ACM Multimedia Yingchun Wang, Jingcai Guo, Song Guo, Yi Liu, Jie Zhang, Weizhan Zhang
2024	J	`jnl`	Towards performance-maximizing neural network pruning via global channel attention. Neural Networks Yingchun Wang, Song Guo, Jingcai Guo, Jie Zhang, Weizhan Zhang, Caixia Yan, Yuanhong Zhang
2024	J	`jnl`	TsCA: On the Semantic Consistency Alignment via Conditional Transport for Compositional Zero-Shot Learning. CoRR Miaoge Li, Jingcai Guo, Richard Yi Da Xu, Dongsheng Wang, Xiaofeng Cao, Song Guo
2024	J	`jnl`	UTDNet: A unified triplet decoder network for multimodal salient object detection. Neural Networks Fushuo Huo, Ziming Liu, Jingcai Guo, Wenchao Xu, Song Guo
2024	J	`jnl`	Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning. CoRR Yang Chen, Tian He, Junfeng Fu, Ling Wang, Jingcai Guo, Hong Cheng
2023	A*	`conf`	(ML)2P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning. CVPR Ziming Liu, Song Guo, Xiaocheng Lu, Jingcai Guo, Jiewei Zhang, Yue Zeng, Fushuo Huo
2023	J	`jnl`	Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning-Technical Report. CoRR Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia
2023	J	`jnl`	Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning. CoRR Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Qihua Zhou, Jie Zhang, Kang Wei, Chenxin Li, Song Guo
2023	J	`jnl`	CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario. CoRR Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu
2023	J	`jnl`	Conservative Novelty Synthesizing Network for Malware Recognition in an Open-Set Scenario. IEEE Trans. Neural Networks Learn. Syst. Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu
2023	J	`jnl`	DRPT: Disentangled and Recurrent Prompt Tuning for Compositional Zero-Shot Learning. CoRR Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo, Fushuo Huo, Sikai Bai, Tao Han
2023	J	`jnl`	Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning. CoRR Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang
2023	A*	`conf`	Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CVPR Xiaocheng Lu, Song Guo, Ziming Liu, Jingcai Guo
2023	J	`jnl`	Dissecting Arbitrary-scale Super-resolution Capability from Pre-trained Diffusion Generative Models. CoRR Ruibin Li, Qihua Zhou, Song Guo, Jie Zhang, Jingcai Guo, Xinyang Jiang, Yifei Shen, Zhenhua Han
2023	J	`jnl`	FreePIH: Training-Free Painterly Image Harmonization with Diffusion Model. CoRR Ruibin Li, Jingcai Guo, Song Guo, Qihua Zhou, Jie Zhang
2023	J	`jnl`	GBE-MLZSL: A Group Bi-Enhancement Framework for Multi-Label Zero-Shot Learning. CoRR Ziming Liu, Jingcai Guo, Xiaocheng Lu, Song Guo, Peiran Dong, Jiewei Zhang
2023	A*	`conf`	Graph Knows Unknowns: Reformulate Zero-Shot Learning as Sample-Level Graph Recognition. AAAI Jingcai Guo, Song Guo, Qihua Zhou, Ziming Liu, Xiaocheng Lu, Fushuo Huo
2023	A	`conf`	Hwamei: A Learning-Based Synchronization Scheme for Hierarchical Federated Learning. ICDCS Tianyu Qi, Yufeng Zhan, Peng Li, Jingcai Guo, Yuanqing Xia
2023	J	`jnl`	MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition. CoRR Jingcai Guo, Yuanyuan Xu, Wenchao Xu, Yufeng Zhan, Yuxia Sun, Song Guo
2023	J	`jnl`	Offline-Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. CoRR Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan, Song Guo
2023	J	`jnl`	ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning. CoRR Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang
2023	J	`jnl`	SFP: Spurious Feature-targeted Pruning for Out-of-Distribution Generalization. CoRR Yingchun Wang, Jingcai Guo, Yi Liu, Song Guo, Weizhan Zhang, Xiangyong Cao, Qinghua Zheng
2023	J	`jnl`	SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. CoRR Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo
2023	J	`jnl`	Towards Data-Independent Knowledge Transfer in Model-Heterogeneous Federated Learning. IEEE Trans. Computers Jie Zhang, Song Guo, Jingcai Guo, Deze Zeng, Jingren Zhou, Albert Y. Zomaya
2023	B	`conf`	Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. IJCNN Yingchun Wang, Jingcai Guo, Jie Zhang, Song Guo, Weizhan Zhang, Qinghua Zheng
2023	J	`jnl`	Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models. CoRR Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang
2023	J	`jnl`	Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention. IEEE Trans. Multim. Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
2022	J	`jnl`	CaDM: Codec-aware Diffusion Modeling for Neural-enhanced Video Streaming. CoRR Qihua Zhou, Ruibin Li, Song Guo, Yi Liu, Jingcai Guo, Zhenda Xu
2022	J	`jnl`	Decomposed Soft Prompt Guided Fusion Enhancing for Compositional Zero-Shot Learning. CoRR Xiaocheng Lu, Ziming Liu, Song Guo, Jingcai Guo
2022	J	`jnl`	Efficient Stein Variational Inference for Reliable Distribution-lossless Network Pruning. CoRR Yingchun Wang, Song Guo, Jingcai Guo, Weizhan Zhang, Richard Yida Xu, Jie Zhang, Yi Liu
2022	J	`jnl`	Exploring Optimal Substructure for Out-of-distribution Generalization via Feature-targeted Model Pruning. CoRR Yingchun Wang, Jingcai Guo, Song Guo, Weizhan Zhang, Jie Zhang
2022	J	`jnl`	Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network. CoRR Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu
2022	A*	`conf`	Personalized Federated Learning with Contextualized Generalization. IJCAI Xueyang Tang, Song Guo, Jingcai Guo
2022	J	`jnl`	ProCC: Progressive Cross-primitive Consistency for Open-World Compositional Zero-Shot Learning. CoRR Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu
2022	J	`jnl`	Towards Unbiased Multi-label Zero-Shot Learning with Pyramid and Semantic Attention. CoRR Ziming Liu, Song Guo, Jingcai Guo, Yuanyuan Xu, Fushuo Huo
2021	J	`jnl`	A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. IEEE Trans. Multim. Jingcai Guo, Song Guo
2021	J	`jnl`	Learning Robust Visual-semantic Mapping for Zero-shot Learning. CoRR Jingcai Guo
2021	—	`conf`	Octo: INT8 Training with Loss-aware Compensation and Backward Quantization for Tiny On-device Learning. USENIX ATC Qihua Zhou, Song Guo, Zhihao Qu, Jingcai Guo, Zhenda Xu, Jiewei Zhang, Tao Guo, Boyuan Luo, Jingren Zhou
2021	J	`jnl`	On-Device Learning Systems for Edge Intelligence: A Software and Hardware Synergy Perspective. IEEE Internet Things J. Qihua Zhou, Zhihao Qu, Song Guo, Boyuan Luo, Jingcai Guo, Zhenda Xu, Rajendra Akerkar
2021	J	`jnl`	Personalized Federated Learning with Clustered Generalization. CoRR Xueyang Tang, Song Guo, Jingcai Guo
2020	J	`jnl`	A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion. CoRR Jingcai Guo, Song Guo
2020	A*	`conf`	Dual-view Attention Networks for Single Image Super-Resolution. ACM Multimedia Jingcai Guo, Shiheng Ma, Jie Zhang, Qihua Zhou, Song Guo
2019	A	`conf`	AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. ICME Jingcai Guo, Song Guo
2019	J	`jnl`	AMS-SFE: Towards an Alignment of Manifold Structures via Semantic Feature Expansion for Zero-shot Learning. CoRR Jingcai Guo, Song Guo
2019	J	`jnl`	Adaptive Adjustment with Semantic Feature Space for Zero-Shot Recognition. CoRR Jingcai Guo, Song Guo
2019	Misc	`conf`	Adaptive Adjustment with Semantic Feature Space for Zero-shot Recognition. ICASSP Jingcai Guo, Song Guo
2019	Misc	`conf`	EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. ICASSP Jingcai Guo, Song Guo
2019	J	`jnl`	EE-AE: An Exclusivity Enhanced Unsupervised Feature Learning Approach. CoRR Jingcai Guo, Song Guo
2019	J	`jnl`	MAANet: Multi-view Aware Attention Networks for Image Super-Resolution. CoRR Jingcai Guo, Shiheng Ma, Song Guo
2019	J	`jnl`	Position-Aware Convolutional Networks for Traffic Prediction. CoRR Shiheng Ma, Jingcai Guo, Song Guo, Minyi Guo
2016	C	`conf`	An improved incremental training approach for large scaled dataset based on support vector machine. BDCAT Jingcai Guo