Jing Wang

61 papers A* 14B 1Journal 45Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Creative Agent is Worth a 64-Token Template.
CoRR
Ruixiao Shi, Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
2026 J jnl
BHMFL: Autonomous Federated Learning for Privacy-Aware Health Monitoring via Self-Balancing Data Synthesis in Smart 6G-HIoT Systems.
IEEE Internet Things J.
Tianxu Yang, Jing Wang
2026 J jnl
CLER: A benchmark for Chinese litigation evidence reasoning.
Inf. Process. Manag.
Sheng Bi, Kai Yu, Jiaqi Li, Xiaoyan Wang, Fuhui Sun, Zeyi Miao, Jing Wang, Xin Geng, Lusheng Wang
2026 A* conf
DivControl: Knowledge Diversion for Controllable Image Generation.
AAAI
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2026 J jnl
HealthGuard: Privacy-Preserving Framework for Consumer Healthcare Devices Against Adversarial Inference Attacks.
IEEE Trans. Consumer Electron.
Jing Wang, Byung-Gyu Kim, Shalli Rani, Keqin Li, Jianhui Lv
2026 A* conf
Learngene: Inheritable 'Genes' in Intelligent Agents (Abstract Reprint).
AAAI
Fu Feng, Jing Wang, Xu Yang, Xin Geng
2026 J jnl
SSL-OHE: A self-supervised ensemble approach for early diagnosis of biliary atresia from sonographic images.
Biomed. Signal Process. Control.
Adam A. Q. Mohammed, Xin Geng, Jing Wang, Ahmed Ameen Fateh, Muhammad Hassan, Zafar Ali
2026 J jnl
Self-Supervised Weight Templates for Scalable Vision Model Initialization.
CoRR
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2026 J jnl
Tail-Aware Reconstruction of Incomplete Label Distributions With Low-Rank and Sparse Modeling.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqiang Kou, Haoyuan Xuan, Jingyu Zhu, Hailin Wang, Ming-Kun Xie, Changwei Wang, Jing Wang, Yuheng Jia, Xin Geng
2025 J jnl
Adaptive Encryption Scheduling for Holographic Counterpart Communication in IoT Consumer Electronics.
IEEE Trans. Consumer Electron.
Xinyu He, Lingling Zhang, Jing Wang, Hong Zhang
2025 J jnl
Distribution-Conditional Generation: From Class Distribution to Creative Generation.
CoRR
Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
2025 J jnl
DivControl: Knowledge Diversion for Controllable Image Generation.
CoRR
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2025 J jnl
Edge-Cloud Framework for Vehicle-Road Cooperative Traffic Signal Control in Augmented Internet of Things.
IEEE Internet Things J.
Lingling Zhang, Zhenxiong Zhou, Bo Yi, Jing Wang, Chien-Ming Chen, Chunyang Shi
2025 J jnl
Explaining the better generalization of label distribution learning for classification.
Sci. China Inf. Sci.
Jing Wang, Xin Geng
2025 J jnl
Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.
CoRR
Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Jing Wang, Xin Geng
2025 J jnl
FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning.
CoRR
Ruixiao Shi, Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2025 J jnl
Instance-Dependent Inaccurate Label Distribution Learning.
IEEE Trans. Neural Networks Learn. Syst.
Zhiqiang Kou, Jing Wang, Yuheng Jia, Biao Liu, Xin Geng
2025 A* conf
KIND: Knowledge Integration and Diversion for Training Decomposable Models.
ICML
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2025 J jnl
Knowledge Diversion for Efficient Morphology Control and Policy Transfer.
CoRR
Fu Feng, Ruixiao Shi, Yucheng Xie, Jianlu Shen, Jing Wang, Xin Geng
2025 J jnl
Label Distribution Learning by Exploiting Fuzzy Label Correlation.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025 J jnl
Label Distribution Learning by Partitioning Label Distribution Manifold.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Jianhui Lv, Xin Geng
2025 A* conf
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning.
IJCAI
Zhiqiang Kou, Si Qin, Hailin Wang, Jing Wang, Ming-Kun Xie, Shuo Chen, Yuheng Jia, Tongliang Liu, Masashi Sugiyama, Xin Geng
2025 J jnl
Label distribution learning by utilizing common and label-specific feature fusion space.
Int. J. Mach. Learn. Cybern.
Ziyun Zhang, Jing Wang, Xin Geng
2025 J jnl
Label enhancement by manifold fusion of feature and label spaces.
Pattern Recognit.
Jing Wang, Zhiqiang Kou, Yuheng Jia, Jianhui Lv, Xin Geng
2025 J jnl
Learngene: Inheritable "genes" in intelligent agents.
Artif. Intell.
Fu Feng, Jing Wang, Xu Yang, Xin Geng
2025 J jnl
Privacy-preserving heterogeneous multi-modal sensor data fusion via federated learning for smart healthcare.
Inf. Fusion
Jing Wang, Mohammad Tabrez Quasim, Bo Yi
2025 J jnl
Progressive label enhancement.
Pattern Recognit.
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2025 A* conf
Redefining in Dictionary: Towards an Enhanced Semantic Understanding of Creative Generation.
CVPR
Fu Feng, Yucheng Xie, Xu Yang, Jing Wang, Xin Geng
2025 J jnl
Residual k-Nearest Neighbors Label Distribution Learning.
Pattern Recognit.
Jing Wang, Fu Feng, Jianhui Lv, Xin Geng
2025 J jnl
Towards Understanding Feature Learning in Parameter Transfer.
CoRR
Hua Yuan, Xuran Meng, Qiufeng Wang, Shiyu Xia, Ning Xu, Xu Yang, Jing Wang, Xin Geng, Yong Rui
2025 A* conf
WAVE: Weight Templates for Adaptive Initialization of Variable-sized Models.
CVPR
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2025 J jnl
fMRI2GES: Co-Speech Gesture Reconstruction From fMRI Signal With Dual Brain Decoding Alignment.
IEEE Trans. Circuits Syst. Video Technol.
Chunzheng Zhu, Jialin Shao, Jianxin Lin, Yijun Wang, Jing Wang, Jinhui Tang, Kenli Li
2025 J jnl
fMRI2GES: Co-speech Gesture Reconstruction from fMRI Signal with Dual Brain Decoding Alignment.
CoRR
Chunzheng Zhu, Jialin Shao, Jianxin Lin, Yijun Wang, Jing Wang, Jinhui Tang, Kenli Li
2024 A* conf
Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers.
NeurIPS
Qiufeng Wang, Xu Yang, Fu Feng, Jing Wang, Xin Geng
2024 J jnl
Driver distraction detection using semi-supervised lightweight vision transformer.
Eng. Appl. Artif. Intell.
Adam A. Q. Mohammed, Xin Geng, Jing Wang, Zafar Ali
2024 A* conf
Exploiting Multi-Label Correlation in Label Distribution Learning.
IJCAI
Zhiqiang Kou, Jing Wang, Jiawei Tang, Yuheng Jia, Boyu Shi, Xin Geng
2024 J jnl
FINE: Factorizing Knowledge for Initialization of Variable-sized Diffusion Models.
CoRR
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Xin Geng
2024 J jnl
Inaccurate Label Distribution Learning with Dependency Noise.
CoRR
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024 J jnl
Inaccurate Label Distribution Learning.
IEEE Trans. Circuits Syst. Video Technol.
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2024 J jnl
KIND: Knowledge Integration and Diversion in Diffusion Models.
CoRR
Yucheng Xie, Fu Feng, Jing Wang, Xin Geng, Yong Rui
2024 J jnl
Large Margin Weighted k-Nearest Neighbors Label Distribution Learning for Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Xin Geng
2024 J jnl
Redefining in Dictionary: Towards a Enhanced Semantic Understanding of Creative Generation.
CoRR
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2024 J jnl
Towards Better Performance in Incomplete LDL: Addressing Data Imbalance.
CoRR
Zhiqiang Kou, Haoyuan Xuan, Jing Wang, Yuheng Jia, Xin Geng
2024 J jnl
Transferring Core Knowledge via Learngenes.
CoRR
Fu Feng, Jing Wang, Xin Geng
2024 J jnl
WAVE: Weight Template for Adaptive Initialization of Variable-sized Models.
CoRR
Fu Feng, Yucheng Xie, Jing Wang, Xin Geng
2023 B conf
An Improvement Paillier Algorithm Applied to Federated Learning.
ICPADS
Chao Xu, Yun Wang, Jing Wang
2023 J jnl
Data Augmentation For Label Enhancement.
CoRR
Zhiqiang Kou, Yuheng Jia, Jing Wang, Boyu Shi, Xin Geng
2023 J jnl
Exploiting Multi-Label Correlation in Label Distribution Learning.
CoRR
Zhiqiang Kou, Jing Wang, Yuheng Jia, Xin Geng
2023 J jnl
From Instance to Metric Calibration: A Unified Framework for Open-World Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuexuan An, Hui Xue, Xingyu Zhao, Jing Wang
2023 J jnl
Genes in Intelligent Agents.
CoRR
Fu Feng, Jing Wang, Congzhi Zhang, Wenqian Li, Xu Yang, Xin Geng
2023 A* conf
Imbalanced Label Distribution Learning.
AAAI
Xingyu Zhao, Yuexuan An, Ning Xu, Jing Wang, Xin Geng
2023 — conf
JumpCrypt: Based on Precomputing Federated Learning with Homomorphic Encryption.
HPCC/DSS/SmartCity/DependSys
Yun Wang, Chong Wang, Chao Xu, Jing Wang
2023 J jnl
Label Distribution Learning by Exploiting Label Distribution Manifold.
IEEE Trans. Neural Networks Learn. Syst.
Jing Wang, Xin Geng
2023 J jnl
Manipulating the Label Space for In-Context Classification.
CoRR
Haokun Chen, Xu Yang, Yuhang Huang, Zihan Wu, Jing Wang, Xin Geng
2023 J jnl
RankMatch: A Novel Approach to Semi-Supervised Label Distribution Learning Leveraging Inter-label Correlations.
CoRR
Kouzhiqiang Yucheng Xie, Jing Wang, Yuheng Jia, Boyu Shi, Xin Geng
2022 J jnl
Re-Weighting Large Margin Label Distribution Learning for Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Jing Wang, Xin Geng, Hui Xue
2021 A* conf
Label Distribution Learning Machine.
ICML
Jing Wang, Xin Geng
2021 A* conf
Learn the Highest Label and Rest Label Description Degrees.
IJCAI
Jing Wang, Xin Geng
2019 A* conf
Classification with Label Distribution Learning.
IJCAI
Jing Wang, Xin Geng
2019 A* conf
Theoretical Analysis of Label Distribution Learning.
AAAI
Jing Wang, Xin Geng
2018 A* conf
Towards Mitigating the Class-Imbalance Problem for Partial Label Learning.
KDD
Jing Wang, Min-Ling Zhang