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2020 – today
- 2024
[j20]Xingzhe Su, Wenwen Qiang
, Jie Hu, Changwen Zheng, Fengge Wu, Fuchun Sun:
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. Int. J. Comput. Vis. 132(11): 5192-5216 (2024)- [j19]Jingyao Wang, Wenwen Qiang, Xingzhe Su, Changwen Zheng, Fuchun Sun, Hui Xiong:
Towards Task Sampler Learning for Meta-Learning. Int. J. Comput. Vis. 132(12): 5534-5564 (2024) - [j18]Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng, Junzhi Yu, Fuchun Sun:
Regularized Hypothesis-Induced Wasserstein Divergence for unsupervised domain adaptation. Knowl. Based Syst. 283: 111162 (2024) - [j17]Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Ruiheng Zhang, Lamei Zhang:
Background Debiased SAR Automatic Target Recognition via a Novel Causal Interventional Regularizer. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 16993-17006 (2024) - [j16]Hongwei Dong, Lingyu Si, Wenwen Qiang, Lamei Zhang, Junzhi Yu, Yuquan Wu, Changwen Zheng, Fuchun Sun:
A Novel Causal Inference-Guided Feature Enhancement Framework for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j15]Lingyu Si, Hongwei Dong, Wenwen Qiang, Zeen Song, Bo Du, Junzhi Yu, Fuchun Sun:
A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j14]Xingzhe Su, Changwen Zheng, Wenwen Qiang, Fengge Wu, Junsuo Zhao, Fuchun Sun, Hui Xiong:
Manifold Constraint Regularization for Remote Sensing Image Generation. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [c17]Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. AAAI 2024: 1959-1967 - [c16]Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. AAAI 2024: 13518-13527 - [c15]Chuxiong Sun, Wenwen Qiang, Jiangmeng Li:
Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. ICDCS 2024: 1404-1407 - [c14]Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong:
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. ICLR 2024 - [c13]Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng, Wenwen Qiang:
Unbiased Image Synthesis via Manifold Guidance in Diffusion Models. ICME 2024: 1-6 - [c12]Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang:
Hacking Task Confounder in Meta-Learning. IJCAI 2024: 5064-5072 - [c11]Guanming Chen, Wenwen Qiang, Yuanxin Ouyang, Chuantao Yin, Zhang Xiong:
Is Encoded Popularity Always Harmful? Explicit Debiasing with Augmentation for Contrastive Collaborative Filtering. IJCNN 2024: 1-9 - [c10]Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang:
Not All Frequencies Are Created Equal: Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. ACM Multimedia 2024: 4729-4737 - [i39]Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong:
BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction. CoRR abs/2401.14166 (2024) - [i38]Huijie Guo, Ying Ba, Jie Hu, Lingyu Si, Wenwen Qiang, Lei Shi:
Self-Supervised Representation Learning with Meta Comprehensive Regularization. CoRR abs/2403.01549 (2024) - [i37]Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng, Fuchun Sun, Hui Xiong:
Intriguing Properties of Positional Encoding in Time Series Forecasting. CoRR abs/2404.10337 (2024) - [i36]Jingyao Wang, Yunhan Tian, Yuxuan Yang, Xiaoxin Chen, Changwen Zheng, Wenwen Qiang:
Meta-Auxiliary Learning for Micro-Expression Recognition. CoRR abs/2404.12024 (2024) - [i35]Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su:
Explicitly Modeling Universality into Self-Supervised Learning. CoRR abs/2405.01053 (2024) - [i34]Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang:
Learning Invariant Causal Mechanism from Vision-Language Models. CoRR abs/2405.15289 (2024) - [i33]Yi Li, Jiangmeng Li, Fei Song, Qingmeng Zhu, Changwen Zheng, Wenwen Qiang:
Interventional Imbalanced Multi-Modal Representation Learning via β-Generalization Front-Door Criterion. CoRR abs/2406.11490 (2024) - [i32]Jiangmeng Li, Bin Qin, Qirui Ji, Yi Li, Wenwen Qiang, Jianwen Cao, Fanjiang Xu:
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality. CoRR abs/2406.11501 (2024) - [i31]Bin Qin, Jiangmeng Li, Yi Li, Xuesong Wu, Yupeng Wang, Wenwen Qiang, Jianwen Cao:
Revisiting Spurious Correlation in Domain Generalization. CoRR abs/2406.11517 (2024) - [i30]Xingyu Zhang, Siyu Zhao, Zeen Song, Huijie Guo, Jianqi Zhang, Changwen Zheng, Wenwen Qiang:
Not All Frequencies Are Created Equal:Towards a Dynamic Fusion of Frequencies in Time-Series Forecasting. CoRR abs/2407.12415 (2024) - [i29]Zeen Song, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong:
On the Discriminability of Self-Supervised Representation Learning. CoRR abs/2407.13541 (2024) - [i28]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su:
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR abs/2407.14058 (2024) - [i27]Zeen Song, Jingyao Wang, Jianqi Zhang, Changwen Zheng, Wenwen Qiang:
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective. CoRR abs/2407.14069 (2024) - [i26]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng:
Rethinking Meta-Learning from a Learning Lens. CoRR abs/2409.08474 (2024) - [i25]Wenwen Qiang, Zeen Song, Ziyin Gu, Jiangmeng Li, Changwen Zheng, Fuchun Sun, Hui Xiong:
On the Generalization and Causal Explanation in Self-Supervised Learning. CoRR abs/2410.00772 (2024) - [i24]Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang:
Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective. CoRR abs/2410.12816 (2024) - 2023
- [j13]Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j12]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information theory-guided heuristic progressive multi-view coding. Neural Networks 167: 415-432 (2023) - [j11]Hongwei Dong, Lingyu Si, Wenwen Qiang, Wuxia Miao, Changwen Zheng, Yuquan Wu, Lamei Zhang:
A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification. Remote. Sens. 15(7): 1782 (2023) - [j10]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. IEEE Trans. Knowl. Data Eng. 35(3): 3014-3029 (2023) - [j9]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. 35(7): 7220-7238 (2023) - [c9]Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from a Conditional Causal Perspective. AAAI 2023: 1323-1333 - [c8]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. AAAI 2023: 7624-7632 - [c7]Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu:
Rethinking skip connection model as a learnable Markov chain. ICLR 2023 - [c6]Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen:
Spatio-Temporal Branching for Motion Prediction using Motion Increments. ACM Multimedia 2023: 4290-4299 - [c5]Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang:
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. ACM Multimedia 2023: 5302-5310 - [i23]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Xingzhe Su, Fengge Wu, Changwen Zheng, Fuchun Sun:
Introducing Expertise Logic into Graph Representation Learning from A Causal Perspective. CoRR abs/2301.08496 (2023) - [i22]Xingzhe Su, Wenwen Qiang, Jie Hu, Fengge Wu, Changwen Zheng, Fuchun Sun:
Intriguing Property and Counterfactual Explanation of GAN for Remote Sensing Image Generation. CoRR abs/2303.05240 (2023) - [i21]Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng:
A Unified GAN Framework Regarding Manifold Alignment for Remote Sensing Images Generation. CoRR abs/2305.19507 (2023) - [i20]Lingyu Si, Hongwei Dong, Wenwen Qiang, Junzhi Yu, Wenlong Zhai, Changwen Zheng, Fanjiang Xu, Fuchun Sun:
A Dimensional Structure based Knowledge Distillation Method for Cross-Modal Learning. CoRR abs/2306.15977 (2023) - [i19]Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng:
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. CoRR abs/2307.08199 (2023) - [i18]Zeen Song, Xingzhe Su, Jingyao Wang, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Towards the Sparseness of Projection Head in Self-Supervised Learning. CoRR abs/2307.08913 (2023) - [i17]Jingyao Wang, Zeen Song, Xingzhe Su, Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng:
Learning to Sample Tasks for Meta Learning. CoRR abs/2307.08924 (2023) - [i16]Yujie Zhou, Wenwen Qiang, Anyi Rao, Ning Lin, Bing Su, Jiaqi Wang:
Zero-shot Skeleton-based Action Recognition via Mutual Information Estimation and Maximization. CoRR abs/2308.03950 (2023) - [i15]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR abs/2308.10522 (2023) - [i14]Jingyao Wang, Zeen Song, Wenwen Qiang, Changwen Zheng:
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning. CoRR abs/2308.14267 (2023) - [i13]Hongwei Dong, Fangzhou Han, Lingyu Si, Wenwen Qiang, Lamei Zhang:
Background Debiased SAR Target Recognition via Causal Interventional Regularizer. CoRR abs/2308.15724 (2023) - [i12]Jingyao Wang, Wenwen Qiang, Yi Ren, Zeen Song, Xingzhe Su, Changwen Zheng:
Hacking Task Confounder in Meta-Learning. CoRR abs/2312.05771 (2023) - [i11]Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. CoRR abs/2312.14222 (2023) - 2022
- [j8]Wenwen Qiang, Hongjie Zhang, Jingxing Zhang, Ling Jing:
TSVM-M3: Twin support vector machine based on multi-order moment matching for large-scale multi-class classification. Appl. Soft Comput. 128: 109506 (2022) - [j7]Lingyu Si, Wenwen Qiang, Jiangmeng Li, Fanjiang Xu, Funchun Sun:
Multi-view representation learning from local consistency and global alignment. Neurocomputing 501: 727-740 (2022) - [j6]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su:
RHMC: Modeling consistent information from deep multiple views via Regularized and Hybrid Multiview Coding. Knowl. Based Syst. 241: 108201 (2022) - [j5]Hongjie Zhang, Wenwen Qiang, Jinxin Zhang, Yingyi Chen, Ling Jing:
Unified feature extraction framework based on contrastive learning. Knowl. Based Syst. 258: 110028 (2022) - [j4]Hongjie Zhang, Siyu Zhao, Wenwen Qiang, Yingyi Chen, Ling Jing:
Feature extraction framework based on contrastive learning with adaptive positive and negative samples. Neural Networks 156: 244-257 (2022) - [c4]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML 2022: 12964-12978 - [c3]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML 2022: 18018-18030 - [c2]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. IJCAI 2022: 3001-3007 - [c1]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS 2022 - [i10]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun:
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. CoRR abs/2201.03812 (2022) - [i9]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR abs/2203.04156 (2022) - [i8]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR abs/2203.05119 (2022) - [i7]Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng:
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR abs/2205.11100 (2022) - [i6]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR abs/2206.14702 (2022) - [i5]Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun:
Robust Causal Graph Representation Learning against Confounding Effects. CoRR abs/2208.08584 (2022) - [i4]Jiangmeng Li, Yanan Zhang, Wenwen Qiang, Lingyu Si, Chengbo Jiao, Xiaohui Hu, Changwen Zheng, Fuchun Sun:
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective. CoRR abs/2208.12681 (2022) - [i3]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. CoRR abs/2209.07811 (2022) - [i2]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. CoRR abs/2209.07902 (2022) - [i1]Dengsheng Chen, Jie Hu, Wenwen Qiang, Xiaoming Wei, Enhua Wu:
Rethinking skip connection model as a learnable Markov chain. CoRR abs/2209.15278 (2022) - 2021
- [j3]Jinxin Zhang, Hongjie Zhang, Wenwen Qiang, Naiyang Deng, Ling Jing:
Locality cross-view regression for feature extraction. Eng. Appl. Artif. Intell. 105: 104414 (2021) - [j2]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su:
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. 223: 107066 (2021) - 2020
- [j1]Wenwen Qiang, Jinxin Zhang, Ling Zhen, Ling Jing:
Robust weighted linear loss twin multi-class support vector regression for large-scale classification. Signal Process. 170: 107449 (2020)
Coauthor Index
[j20] [j19] [j18] [j16] [j14] [c16] [c14] [c13] [c12] [c10] [i39] [i37] [i36] [i35] [i34] [i33] [i30] [i29] [i28] [i27] [i26] [i25] [j12] [j11] [j10] [j9] [c9] [c8] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i15] [i14] [i12] [i11] [j6] [c4] [c3] [c2] [c1] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [j2]
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