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2020 – today
- 2024
[j46]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)- [j45]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) - [j44]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) - [j43]Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing diminutive causal structure into graph representation learning. Knowl. Based Syst. 293: 111592 (2024) - [j42]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) - [j41]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) - [c69]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: 12145-12154 - [c68]Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. AAAI 2024: 12810-12820 - [c67]Jiangmeng Li, Yifan Jin, Hang Gao, Wenwen Qiang, Changwen Zheng, Fuchun Sun:
Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning. AAAI 2024: 13518-13527 - [c66]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: 15154-15163 - [c65]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: 4420-4424 - [c64]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 - [c63]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 - [c62]Jingyao Wang, Yi Ren, Zeen Song, Jianqi Zhang, Changwen Zheng, Wenwen Qiang:
Hacking Task Confounder in Meta-Learning. IJCAI 2024: 5064-5072 - [c61]Xingzhe Su, Daixi Jia, Fengge Wu, Junsuo Zhao, Changwen Zheng:
Object-aided Generative Adversarial Networks for Remote Sensing Image Generation. IJCNN 2024: 1-8 - [c60]Yi Li, Qingmeng Zhu, Changwen Zheng, Jiangmeng Li:
MSI: Multi-modal Recommendation via Superfluous Semantics Discarding and Interaction Preserving. ICMR 2024: 814-823 - [c59]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 - [i43]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 abs/2401.10973 (2024) - [i42]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) - [i41]Hang Gao, Jiaguo Yuan, Jiangmeng Li, Chengyu Yao, Fengge Wu, Junsuo Zhao, Changwen Zheng:
Graph Partial Label Learning with Potential Cause Discovering. CoRR abs/2403.11449 (2024) - [i40]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) - [i39]Jingyao Wang, Yunhan Tian, Yuxuan Yang, Xiaoxin Chen, Changwen Zheng, Wenwen Qiang:
Meta-Auxiliary Learning for Micro-Expression Recognition. CoRR abs/2404.12024 (2024) - [i38]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) - [i37]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) - [i36]Hang Gao, Peng Qiao, Yifan Jin, Fengge Wu, Jiangmeng Li, Changwen Zheng:
Introducing Diminutive Causal Structure into Graph Representation Learning. CoRR abs/2406.08709 (2024) - [i35]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) - [i34]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) - [i33]Zeen Song, Wenwen Qiang, Changwen Zheng, Fuchun Sun, Hui Xiong:
On the Discriminability of Self-Supervised Representation Learning. CoRR abs/2407.13541 (2024) - [i32]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) - [i31]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) - [i30]Jingyao Wang, Luntian Mou, Changwen Zheng, Wen Gao:
Image-based Freeform Handwriting Authentication with Energy-oriented Self-Supervised Learning. CoRR abs/2408.09676 (2024) - [i29]Jingyao Wang, Wenwen Qiang, Jiangmeng Li, Lingyu Si, Changwen Zheng:
Rethinking Meta-Learning from a Learning Lens. CoRR abs/2409.08474 (2024) - [i28]Jianqi Zhang, Mengxuan Wang, Jingyao Wang, Lingyu Si, Changwen Zheng, Fanjiang Xu:
Less yet robust: crucial region selection for scene recognition. CoRR abs/2409.14741 (2024) - [i27]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) - 2023
- [j40]Xingzhe Su, Yijun Lin, Quan Zheng, Fengge Wu, Changwen Zheng, Junsuo Zhao:
GSGAN: Learning controllable geospatial images generation. IET Image Process. 17(2): 401-417 (2023) - [j39]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information theory-guided heuristic progressive multi-view coding. Neural Networks 167: 415-432 (2023) - [j38]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) - [j37]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) - [j36]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) - [c58]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 - [c57]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 - [c56]Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng:
Robust Hypergraph-Augmented Graph Contrastive Learning for Graph Self-Supervised Learning. CACML 2023: 287-293 - [c55]Zeming Wang, Xiaoyang Li, Rui Wang, Changwen Zheng:
Adaptive Graph Augmentation for Graph Contrastive Learning. ICIC (4) 2023: 354-366 - [c54]Yi Li, Qingmeng Zhu, Hao He, Ziyin Gu, Changwen Zheng:
MOC: Multi-modal Sentiment Analysis via Optimal Transport and Contrastive Interactions. ICONIP (2) 2023: 439-451 - [i26]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) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]Jingyao Wang, Luntian Mou, Changwen Zheng, Wen Gao:
CSSL-RHA: Contrastive Self-Supervised Learning for Robust Handwriting Authentication. CoRR abs/2307.11100 (2023) - [i18]Jiangmeng Li, Hang Gao, Wenwen Qiang, Changwen Zheng:
Information Theory-Guided Heuristic Progressive Multi-View Coding. CoRR abs/2308.10522 (2023) - [i17]Jingyao Wang, Zeen Song, Wenwen Qiang, Changwen Zheng:
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning. CoRR abs/2308.14267 (2023) - [i16]Jingyao Wang, Wenwen Qiang, Yi Ren, Zeen Song, Xingzhe Su, Changwen Zheng:
Hacking Task Confounder in Meta-Learning. CoRR abs/2312.05771 (2023) - [i15]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 abs/2312.09613 (2023) - [i14]Qirui Ji, Jiangmeng Li, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu:
Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective. CoRR abs/2312.10401 (2023) - [i13]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
- [j35]Gang Li, Changwen Zheng, Bing Su:
Transductive distribution calibration for few-shot learning. Neurocomputing 500: 604-615 (2022) - [j34]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) - [j33]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): 581-595 (2022) - [c53]Hang Gao, Jiangmeng Li, Peng Qiao, Changwen Zheng:
Weight-Aware Graph Contrastive Learning. ICANN (2) 2022: 719-730 - [c52]Lingyu Si, Gang Li, Changwen Zheng, Fanjiang Xu:
Self-supervised Representation Learning for the Object Detection of Marine Radar. ICCAI 2022: 751-760 - [c51]Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng:
SimViT: Exploring a Simple Vision Transformer with Sliding Windows. ICME 2022: 1-6 - [c50]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. ICML 2022: 12964-12978 - [c49]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. ICML 2022: 18018-18030 - [c48]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 - [c47]Tianci Zhao, Changwen Zheng, Qingmeng Zhu, Hao He:
SwinTransTrack: Multi-object Tracking Using Shifted Window Transformers. ISCIT 2022: 183-188 - [c46]Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong:
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning. NeurIPS 2022 - [c45]Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng:
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. NeurIPS 2022 - [c44]Hang Gao, Jiangmeng Li, Changwen Zheng:
Self-supervised Graph Learning with Segmented Graph Channels. ECML/PKDD (2) 2022: 293-308 - [i12]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) - [i11]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) - [i10]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Hui Xiong:
MetAug: Contrastive Learning via Meta Feature Augmentation. CoRR abs/2203.05119 (2022) - [i9]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) - [i8]Gang Li, Heliang Zheng, Daqing Liu, Chaoyue Wang, Bing Su, Changwen Zheng:
SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders. CoRR abs/2206.10207 (2022) - [i7]Wenwen Qiang, Jiangmeng Li, Changwen Zheng, Bing Su, Hui Xiong:
Interventional Contrastive Learning with Meta Semantic Regularizer. CoRR abs/2206.14702 (2022) - [i6]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) - [i5]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) - [i4]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) - [i3]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) - [i2]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 abs/2211.14108 (2022) - 2021
- [j32]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) - [c43]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: 1641-1652 - [c42]Zhenghao Zhang, Liguo Sun, Lingyu Si, Changwen Zheng:
A New Siamese Co-attention Network for Unsupervised Video Object Segmentation. ICCCS 2021: 335-340 - [c41]Shuaiyu Chen, Changwen Zheng, Liguo Sun:
A New Method of Wave Parameter Retrieve Based on Transformer. ICCCS 2021: 517-521 - [c40]Mengjing Hu, Changwen Zheng, Liguo Sun:
Multi-Task Based Marine Radar Tracking Network. ICCCS 2021: 616-620 - [c39]Gang Li, Yuncong Lei, Lingyu Si, Changwen Zheng:
Self-supervised Visual Representation Learning for Fine-Grained Ship Detection. ICISCAE (IEEE) 2021: 67-71 - [c38]Zhenghao Zhang, Zhao Wang, Yan Ye, Shiqi Wang, Changwen Zheng:
Encoder-Decoder Joint Enhancement for Video Chat. VCIP 2021: 1-5 - [i1]Gang Li, Di Xu, Xing Cheng, Lingyu Si, Changwen Zheng:
SimViT: Exploring a Simple Vision Transformer with sliding windows. CoRR abs/2112.13085 (2021) - 2020
- [j31]Yun Hu, Changwen Zheng:
A Double Adversarial Network Model for Multi-Domain and Multi-Task Chinese Named Entity Recognition. IEICE Trans. Inf. Syst. 103-D(7): 1744-1752 (2020)
2010 – 2019
- 2019
- [c37]Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng:
An Empirical Data Selection Schema in Annotation Projection Approach. CICLing (2) 2019: 16-25 - [c36]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: 743-754 - [c35]Hongbin Yang, Mingxue Liao, Changwen Zheng, Pin Lv:
A New Coefficient for a Two-Scale Microfacet Reflectance Model. ICIG (2) 2019: 208-219 - [c34]Caixia Qin, Mingxue Liao, Yuanyuan Liang, Changwen Zheng:
Efficient Algorithm for Maximal Biclique Enumeration on Bipartite Graphs. ICNC-FSKD 2019: 3-13 - [c33]Xuange Cui, Mingxue Liao, Pin Lv, Changwen Zheng:
Sequencing the musical sections with deep learning. IJCNN 2019: 1-7 - [c32]Teng Ling, Lixiang Liu, Changwen Zheng, Shuaijun Liu, Xi Zhou:
An Optimized Forward Scheduling Algorithm in A Software-defined Satellite Network. SERA 2019: 27-32 - [c31]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: 525-532 - 2018
- [j30]Hongliang Yuan, Changwen Zheng:
Adaptive rendering based on robust principal component analysis. Vis. Comput. 34(4): 551-562 (2018) - [j29]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): 589-601 (2018) - [c30]Changwen Zheng, Yu Liu:
Removing Monte Carlo Noise with Compressed Sensing and Feature Information. VISIGRAPP (1: GRAPP) 2018: 145-153 - [c29]Yu Liu, Changwen Zheng, Hongliang Yuan:
Denoising Monte Carlo Renderings based on a Robust High-order Function. VISIGRAPP (1: GRAPP) 2018: 288-294 - [c28]Yun Hu, Mingxue Liao, Pin Lv, Changwen Zheng:
Utilizing Chinese Dictionary Information in Named Entity Recognition. ICCSIP (2) 2018: 17-26 - [c27]Chao Cai, Lingge Li, Changwen Zheng:
Image Elementary Manifold and Its Application in Image Analysis. ICCSIP (1) 2018: 132-142 - 2017
- [j28]Quan Zheng, Changwen Zheng:
NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Comput. Graph. Forum 36(8): 390-401 (2017) - [j27]Hongliang Yuan, Changwen Zheng:
Adaptive rendering based on a weighted mixed-order estimator. Vis. Comput. 33(6-8): 695-704 (2017) - [j26]Quan Zheng, Changwen Zheng:
Adaptive sparse polynomial regression for camera lens simulation. Vis. Comput. 33(6-8): 715-724 (2017) - [c26]Hongliang Yuan, Changwen Zheng, Quan Zheng, Yu Liu:
Adaptive Rendering based on Adaptive Order Selection. VISIGRAPP (1: GRAPP) 2017: 37-45 - [c25]Junkai Peng, Changwen Zheng, Pin Lv:
Parameters Sharing Multi-items Non-parametric Factor Microfacet Model for Isotropic and Anisotropic BRDFs. ICIG (3) 2017: 182-193 - 2016
- [j25]Yu Liu, Changwen Zheng:
Adaptive Rendering Using a Best Matching Patch. IEICE Trans. Inf. Syst. 99-D(7): 1910-1919 (2016) - [j24]Dongxia Chang, Yao Zhao, Lian Liu, Changwen Zheng:
A dynamic niching clustering algorithm based on individual-connectedness and its application to color image segmentation. Pattern Recognit. 60: 334-347 (2016) - [c24]