Changwen Zheng

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 105

Top Venues

Publications

Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
Rethinking Causal Relationships Learning in Graph Neural Networks. AAAI (2024)
Jingyao Wang, Yunhan Tian, Yuxuan Yang, Xiaoxin Chen, Changwen Zheng, Wenwen Qiang
Meta-Auxiliary Learning for Micro-Expression Recognition. CoRR (2024)
Jingyao Wang, Wenwen Qiang, Zeen Song, Lingyu Si, Jiangmeng Li, Changwen Zheng, Bing Su
Explicitly Modeling Universality into Self-Supervised Learning. CoRR (2024)
Zeen Song, Jingyao Wang, Jianqi Zhang, Changwen Zheng, Wenwen Qiang
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective. CoRR (2024)
Zeen Song, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong
On the Discriminability of Self-Supervised Representation Learning. CoRR (2024)
Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. AAAI (2024)
Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. 293 (2024)
Lingyu Si, Gang Li, Hongwei Dong, Changwen Zheng, Fanjiang Xu, Fuchun Sun
Radardiff: Improving Sea Clutter Suppression Using Diffusion Models for Radar Images. ICASSP (2024)
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 (2024)
Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. CoRR (2024)
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 (2024)
Zeen Song, Siyu Zhao, Xingyu Zhang, Jiangmeng Li, Changwen Zheng, Wenwen Qiang
Learning Invariant Causal Mechanism from Vision-Language Models. CoRR (2024)
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 (2024)
Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. AAAI (2024)
Jianqi Zhang, Jingyao Wang, Wenwen Qiang, Fanjiang Xu, Changwen Zheng, Fuchun Sun, Hui Xiong
Intriguing Properties of Positional Encoding in Time Series Forecasting. CoRR (2024)
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)
Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng
Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR (2024)
Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng, Bing Su
On the Causal Sufficiency and Necessity of Multi-Modal Representation Learning. CoRR (2024)
Yi Li, Qingmeng Zhu, Changwen Zheng, Jiangmeng Li
MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. ICMR (2024)
Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng
Graph Partial Label Learning with Potential Cause Discovering. CoRR (2024)
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 (2024)
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 (2024)
Chuxiong Sun, Zehua Zang, Jiabao Li, Jiangmeng Li, Xiao Xu, Rui Wang, Changwen Zheng
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. AAAI (2024)
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun
Robust Causal Graph Representation Learning against Confounding Effects. AAAI (2023)
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) (2023)
Jingyao Wang, Zeen Song, Xingzhe Su, Lingyu Si, Hongwei Dong, Wenwen Qiang, Changwen Zheng
Learning to Sample Tasks for Meta Learning. CoRR (2023)
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 (2023)
Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao
GSGAN: Learning controllable geospatial images generation. IET Image Process. 17 (2) (2023)
Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR (2023)
Xingzhe Su, Wenwen Qiang, Zeen Song, Hang Gao, Fengge Wu, Changwen Zheng
Manifold-Guided Sampling in Diffusion Models for Unbiased Image Generation. CoRR (2023)
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 (2023)
Zeen Song, Xingzhe Su, Jingyao Wang, Wenwen Qiang, Changwen Zheng, Fuchun Sun
Towards the Sparseness of Projection Head in Self-Supervised Learning. CoRR (2023)
Jingyao Wang, Luntian Mou, Changwen Zheng, Wen Gao
CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication. CoRR (2023)
Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng
Adaptive Graph Augmentation for Graph Contrastive Learning. ICIC (4) (2023)
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)
Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng
Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning. CACML (2023)
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) (2023)
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) (2023)
Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng
Information theory-guided heuristic progressive multi-view coding. Neural Networks 167 (2023)
Jingyao Wang, Wenwen Qiang, Yi Ren, Zeen Song, Xingzhe Su, Changwen Zheng
Hacking Task Confounder in Meta-Learning. CoRR (2023)
Hang Gao, Chengyu Yao, Jiangmeng Li, Lingyu Si, Yifan Jin, Fengge Wu, Changwen Zheng, Huaping Liu
Rethinking Causal Relationships Learning in Graph Neural Networks. CoRR (2023)
Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. CoRR (2023)
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 (2023)
Jingyao Wang, Zeen Song, Wenwen Qiang, Changwen Zheng
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning. CoRR (2023)
Yi Li, Qingmeng Zhu, Hao He, Ziyin Gu, Changwen Zheng
MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions. ICONIP (2) (2023)
Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. CoRR (2023)
Xingzhe Su, Lingyu Si, Wenwen Qiang, Junzhi Yu, Fengge Wu, Changwen Zheng, Fuchun Sun
Intriguing Property of GAN for Remote Sensing Image Generation. CoRR (2023)
Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS (2022)
Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng
SimViT: Exploring a Simple Vision Transformer with Sliding Windows. ICME (2022)
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Bing Xu, Changwen Zheng, Fuchun Sun
Robust Causal Graph Representation Learning against Confounding Effects. CoRR (2022)
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 (2022)
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Fuchun Sun, Changwen Zheng
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. IJCAI (2022)
Tianci Zhao, Changwen Zheng, Qingmeng Zhu, Hao He
SwinTransTrack: Multi-object Tracking Using Shifted Window Transformers. ISCIT (2022)
Gang Li, Changwen Zheng, Bing Su
Transductive distribution calibration for few-shot learning. Neurocomputing 500 (2022)
Hang Gao, Jiangmeng Li, Changwen Zheng
Self-supervised Graph Learning with Segmented Graph Channels. ECML/PKDD (2) (2022)
Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng
Weight-Aware Graph Contrastive Learning. ICANN (2) (2022)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation. CoRR (2022)
Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML (2022)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR (2022)
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 (2022)
Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR (2022)
Lingyu Si, Gang Li, Changwen Zheng, Fanjiang Xu
Self-supervised Representation Learning for the Object Detection of Marine Radar. ICCAI (2022)
Lingling Li, Changwen Zheng, Cunli Mao, Haibo Deng, Taisong Jin
Scale-Insensitive Object Detection via Attention Feature Pyramid Transformer Network. Neural Process. Lett. 54 (1) (2022)
Jiangmeng Li, Wenyi Mo, Wenwen Qiang, Bing Su, Changwen Zheng
Supporting Vision-Language Model Inference with Causality-pruning Knowledge Prompt. CoRR (2022)
Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. CoRR (2022)
Hang Gao, Jiangmeng Li, Wenwen Qiang, Lingyu Si, Changwen Zheng, Fuchun Sun
Bootstrapping Informative Graph Augmentation via A Meta Learning Approach. CoRR (2022)
Gang Li, Heliang Zheng, Chaoyue Wang, Chang Li, Changwen Zheng, Dacheng Tao
3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models. CoRR (2022)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML (2022)
Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR (2022)
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 (2022)
Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS (2022)
Zhenghao Zhang, Liguo Sun, Lingyu Si, Changwen Zheng
A New Siamese Co-attention Network for Unsupervised Video Object Segmentation. ICCCS (2021)
Gang Li, Yuncong Lei, Lingyu Si, Changwen Zheng
Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. ICISCAE (IEEE) (2021)
Shuaiyu Chen, Changwen Zheng, Liguo Sun
A New Method of Wave Parameter Retrieve Based on Transformer. ICCCS (2021)
Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng
SimViT: Exploring a Simple Vision Transformer with sliding windows. CoRR (2021)
Yun Hu, Yeshuang Zhu, Jinchao Zhang, Changwen Zheng, Jie Zhou
Toward Fully Exploiting Heterogeneous Corpus: A Decoupled Named Entity Recognition Model with Two-stage Training. ACL/IJCNLP (Findings) (2021)
Jiangmeng Li, Wenwen Qiang, Hang Gao, Bing Su, Farid Razzak, Jie Hu, Changwen Zheng, Hui Xiong
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR (2021)
Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su
Auxiliary task guided mean and covariance alignment network for adversarial domain adaptation. Knowl. Based Syst. 223 (2021)
Mengjing Hu, Changwen Zheng, Liguo Sun
Multi-Task Based Marine Radar Tracking Network. ICCCS (2021)
Zhenghao Zhang, Zhao Wang, Yan Ye, Shiqi Wang, Changwen Zheng
Encoder-Decoder Joint Enhancement for Video Chat. VCIP (2021)
Yun Hu, Changwen Zheng
A Double Adversarial Network Model for Multi-Domain and Multi-Task Chinese Named Entity Recognition. IEICE Trans. Inf. Syst. (7) (2020)
Teng Ling, Lixiang Liu, Changwen Zheng, Shuaijun Liu, Xi Zhou
An Optimized Forward Scheduling Algorithm in A Software-defined Satellite Network. SERA (2019)
Xinwei Zhao, Haichang Li, Rui Wang, Changwen Zheng, Song Shi
Street-view Change Detection via Siamese Encoder-decoder Structured Convolutional Neural Networks. VISIGRAPP (5: VISAPP) (2019)
Caixia Qin, Mingxue Liao, Yuanyuan Liang, Changwen Zheng
Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs. ICNC-FSKD (2019)
Hongbin Yang, Mingxue Liao, Changwen Zheng, Pin Lv
A New Coefficient for a Two-Scale Microfacet Reflectance Model. ICIG (2) (2019)
Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng
An Empirical Data Selection Schema in Annotation Projection Approach. CICLing (2) (2019)
Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng
An Empirical Study of Multi-domain and Multi-task Learning in Chinese Named Entity Recognition. ICANN (2) (2019)
Xuange Cui, Mingxue Liao, Pin Lv, Changwen Zheng
Sequencing the musical sections with deep learning. IJCNN (2019)
Yu Liu, Changwen Zheng, Hongliang Yuan
Denoising Monte Carlo Renderings based on a Robust High-order Function. VISIGRAPP (1: GRAPP) (2018)
Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng
Utilizing Chinese Dictionary Information in Named Entity Recognition. ICCSIP (2) (2018)
Yu Liu, Changwen Zheng, Quan Zheng, Hongliang Yuan
Removing Monte Carlo noise using a Sobel operator and a guided image filter. Vis. Comput. 34 (4) (2018)
Chao Cai, Lingge Li, Changwen Zheng
Image Elementary Manifold and Its Application in Image Analysis. ICCSIP (1) (2018)
Hongliang Yuan, Changwen Zheng
Adaptive rendering based on robust principal component analysis. Vis. Comput. 34 (4) (2018)
Changwen Zheng, Yu Liu
Removing Monte Carlo Noise with Compressed Sensing and Feature Information. VISIGRAPP (1: GRAPP) (2018)
Hongliang Yuan, Changwen Zheng, Quan Zheng, Yu Liu
Adaptive Rendering based on Adaptive Order Selection. VISIGRAPP (1: GRAPP) (2017)
Hongliang Yuan, Changwen Zheng
Adaptive rendering based on a weighted mixed-order estimator. Vis. Comput. 33 (6-8) (2017)
Quan Zheng, Changwen Zheng
NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Comput. Graph. Forum 36 (8) (2017)
Junkai Peng, Changwen Zheng, Pin Lv
Parameters Sharing Multi-items Non-parametric Factor Microfacet Model for Isotropic and Anisotropic BRDFs. ICIG (3) (2017)
Quan Zheng, Changwen Zheng
Adaptive sparse polynomial regression for camera lens simulation. Vis. Comput. 33 (6-8) (2017)
Jinsen Zhang, Changwen Zheng, Yu Liu
Advanced physical optical model for simulating rainbows. AICCSA (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Changwen Zheng