Si Wu - RankMe

137 papers A* 35A 12B 5Misc 2Journal 74Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Hierarchical Cross-Modality Interaction for Unified Video-Text Retrieval Modeling. MMM (2) Tianshi Xu, Zhengzheng Sun, Yizheng Hu, Junyuan Shang, Si Wu
2026	J	`jnl`	Learning region-aware style-content feature transformations for face image beautification. Pattern Recognit. Zhen Xu, Si Wu
2026	J	`jnl`	MVHDiff: Leveraging 3D priors for consistent multi-view human image generation with diffusion models. Neurocomputing Yan Huang, Hongxin Fu, Zhonghang Li, Yongcan Luo, Tianyi Chen, Si Wu
2026	A*	`conf`	Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification. AAAI Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2026	J	`jnl`	SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering. IEEE Trans. Circuits Syst. Video Technol. Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2026	J	`jnl`	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. IEEE Trans. Knowl. Data Eng. Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2025	A*	`conf`	3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation. AAAI FeiFan Xu, Tianyi Chen, Fan Yang, Yunfei Zhang, Si Wu
2025	J	`jnl`	3DMM-GAN: Multi-Modal Alignment With Adversarial Learning for Compositional 3D Human Image Synthesis. IEEE Trans. Emerg. Top. Comput. Intell. Tianyi Chen, Hongxin Fu, Hao Wang, Yan Huang, Si Wu, Yong Xu, Dapeng Oliver Wu
2025	A	`conf`	Adaptive Illumination Transfer Network for Shadow Removal. ICME Yinan Wang, Si Wu, Yong Xu, Yan Huang, Patrick Le Callet
2025	B	`conf`	Adversarial Style Interpolation for High-fidelity Stroke-aware Chinese Character Image Synthesis. IJCNN Jiaxin Li, Chun Ding, Si Wu
2025	J	`jnl`	Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2025	J	`jnl`	COME: contrastive mapping learning for spatial reconstruction of single-cell RNA sequencing data. Bioinform. Xindian Wei, Tianyi Chen, Xibiao Wang, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong
2025	J	`jnl`	Class-conditional image synthesis with intra-class relation preservation. Knowl. Based Syst. Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong
2025	J	`jnl`	Controllable instance synthesis with hierarchical regularization for semi-supervised pedestrian detection. Neurocomputing Tianyi Chen, Gaozhe Li, Xiangyu Sai, Lianxin Xie, Yunfei Zhang, Si Wu
2025	A	`conf`	Cross-View Neighborhood Contrastive Multi-View Clustering with View Mixup Feature Learning. ICME Yixuan Ye, Yang Zhang, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2025	J	`jnl`	DA-GAN: Dual-attention generative adversarial networks for real-world exquisite makeup transfer. Pattern Recognit. Qianfen Jiao, Zhen Xu, Si Wu, Hau-San Wong
2025	A*	`conf`	Discrete Prior-Based Temporal-Coherent Content Prediction for Blind Face Video Restoration. AAAI Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong
2025	J	`jnl`	Discrete Prior-based Temporal-coherent Content Prediction for Blind Face Video Restoration. CoRR Lianxin Xie, Bingbing Zheng, Wen Xue, Yunfei Zhang, Le Jiang, Ruotao Xu, Si Wu, Hau-San Wong
2025	J	`jnl`	Diverse Semantic Image Synthesis with various conditioning modalities. Knowl. Based Syst. Chaoyue Wu, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2025	A*	`conf`	Dynamic Content Prediction with Motion-aware Priors for Blind Face Video Restoration. CVPR Lianxin Xie, Bingbing Zheng, Si Wu, Hau-San Wong
2025	J	`jnl`	E-Net for pansharpening: A super-resolution perspective. Image Vis. Comput. Yifan Wang, Si Wu, Yan Pang, Yong Xu, Yan Huang
2025	J	`jnl`	EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. IEEE Trans. Neural Networks Learn. Syst. Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2025	Misc	`conf`	Facilitating Semi-Supervised Pedestrian Detection with Structurally Controllable Instance Synthesis. ICASSP Tianyou Zhang, Wenhao Wu, Si Wu, Rui Li
2025	A	`conf`	IP-KGQA: Intent-Aware Prompt Learning for Knowledge Graph Question Answering. ICME Zheng Dai, Chun Ding, Tianyi Chen, Si Wu, Yong Xu, Runzhe Liang, Tianshi Xu, Yedong Li, Dapeng Wu
2025	A	`conf`	InpaintFormer: Prompt-guided High-Quality Face Inpainting with Mask-Aware Self-Attention. ICME Zhouhao Ouyang, Wen Xue, Tianyi Chen, Yan Huang, Si Wu, Yong Xu, Patrick Le Callet, Dapeng Oliver Wu
2025	J	`jnl`	Model Adaptation: Unsupervised Domain Adaptation without Source Data. CoRR Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2025	A*	`conf`	Prior-Free Augmentation for Cloth-Changing Person Re-Identification. ACM Multimedia Jiajun Zhang, Xin Li, Si Wu, Yong Xu, Yaowei Wang
2025	Misc	`conf`	Prompt-augmented Feature with Cross-domain Contrastive Learning for Efficient Multi-domain Sentiment Analysis. ICASSP Rui Li, Tao Yang, Cheng Liu, Dazhi Jiang, Hau-San Wong, Si Wu
2025	J	`jnl`	Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification. CoRR Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2025	A	`conf`	Rethinking 3D Robotic Perception: Elastic Voxel Representation with Splatting Distillation. ICME Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu, Patrick Le Callet
2025	A*	`conf`	RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting. AAAI Wen Xue, Chun Ding, Ruotao Xu, Si Wu, Yong Xu, Hau-San Wong
2025	J	`jnl`	Robust subspace structure discovery for cell type identification in scRNA-seq data. BMC Bioinform. Xianyong Zhou, Xindian Wei, Cheng Liu, Wenjun Shen, Ping Xuan, Si Wu, Hau-San Wong
2025	J	`jnl`	SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering. CoRR Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong
2025	A*	`conf`	Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight. AAAI Shaohui Pan, Yong Xu, Ruotao Xu, Zihan Zhou, Si Wu, Zhuliang Yu
2025	A	`conf`	SemanticLoom: Category-aware Dynamic Fusion for Multi-class Few-shot Image Synthesis. ICME Jie Wang, Yan Huang, Yunfei Zhang, Tianyi Chen, Si Wu, Yong Xu, Patrick Le Callet
2025	A*	`conf`	SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration. AAAI Tianyi Chen, Yunfei Zhang, Lianxin Xie, Wenjun Shen, Si Wu, Hau-San Wong
2025	A*	`conf`	Task-aware Cross-modal Feature Refinement Transformer with Large Language Models for Visual Grounding. CVPR Wenbo Chen, Zhen Xu, Ruotao Xu, Si Wu, Hau-San Wong
2025	A	`conf`	Text to Trajectory: Enhancing and Evaluating LLMs for Embodied Task Planning. ICME Yihan Tang, Yong Xu, Ruotao Xu, Yan Huang, Si Wu, Patrick Le Callet
2025	J	`jnl`	Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering. CoRR Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Man-Fai Leung, Si Wu, Hau-San Wong
2024	J	`jnl`	A Graph-Based Discriminator Architecture for Multi-Attribute Facial Image Editing. IEEE Trans. Multim. Quanpeng Song, Jiaxin Li, Si Wu, Hau-San Wong
2024	A*	`conf`	AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing. CVPR Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin
2024	J	`jnl`	Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. Knowl. Based Syst. Jian Zhong, Qianfen Jiao, Si Wu, Cheng Liu, Hau-San Wong
2024	J	`jnl`	Collaborative Structure-Preserved Missing Data Imputation for Single-Cell RNA-Seq Clustering. IEEE ACM Trans. Comput. Biol. Bioinform. Hang Gao, Wenjun Shen, Rui Li, Cheng Liu, Si Wu
2024	A*	`conf`	Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering. ACM Multimedia Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong
2024	A*	`conf`	Hunting Blemishes: Language-guided High-fidelity Face Retouching Transformer with Limited Paired Data. ACM Multimedia Le Jiang, Yan Huang, Lianxin Xie, Wen Xue, Cheng Liu, Si Wu, Hau-San Wong
2024	J	`jnl`	Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong
2024	A*	`conf`	Learning Degradation-Unaware Representation with Prior-Based Latent Transformations for Blind Face Restoration. CVPR Lianxin Xie, Bingbing Zheng, Wen Xue, Le Jiang, Cheng Liu, Si Wu, Hau-San Wong
2024	J	`jnl`	Pseudo-Siamese Teacher for Semi-Supervised Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. Wenhao Wu, Hau-San Wong, Si Wu
2024	A	`conf`	Reference-conditional Makeup-aware Discrimination for Face Image Beautification. ICME Zhenping Li, Si Wu, Xindian Wei, Qianfen Jiao, Cheng Liu, Rui Li
2024	A*	`conf`	Relational Matching for Weakly Semi-Supervised Oriented Object Detection. CVPR Wenhao Wu, Hau-San Wong, Si Wu, Tianyou Zhang
2024	A*	`conf`	RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention. AAAI Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong
2024	A*	`conf`	SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation. IJCAI Lu Lin, Wen Xue, Xindian Wei, Wenjun Shen, Cheng Liu, Si Wu, Hau-San Wong
2024	J	`jnl`	SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. Briefings Bioinform. Tianyi Chen, Xindian Wei, Lianxin Xie, Yunfei Zhang, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2024	J	`jnl`	Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2024	J	`jnl`	Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms. Pattern Recognit. Xiaoyang Huo, Yunfei Zhang, Si Wu
2024	A*	`conf`	Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. CVPR FeiFan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong
2024	A*	`conf`	VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. CVPR Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong
2023	J	`jnl`	AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing. CoRR Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin
2023	A*	`conf`	Blemish-aware and Progressive Face Retouching with Limited Paired Data. CVPR Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong
2023	J	`jnl`	Collaborative Learning with Unreliability Adaptation for Semi-Supervised Image Classification. Pattern Recognit. Xiaoyang Huo, Xiangping Zeng, Si Wu, Wenjun Shen, Hau-San Wong
2023	J	`jnl`	Collaborative learning-based unknown-class instance identification for open-set domain adaptation. Inf. Sci. Jiaxin Li, Haohong Zhou, Si Wu, Cheng Liu, Hau-San Wong
2023	J	`jnl`	Content-Aware Latent Semantic Direction Fusion for Multi-Attribute Editing. IEEE Multim. Xiwen Wei, Yihan Tang, Si Wu
2023	J	`jnl`	Discriminator feature-based progressive GAN inversion. Knowl. Based Syst. Quanpeng Song, Guanyue Li, Si Wu, Wenjun Shen, Hau-San Wong
2023	A*	`conf`	Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. CVPR Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau-San Wong
2023	J	`jnl`	Self-Supervised Graph Completion for Incomplete Multi-View Clustering. IEEE Trans. Knowl. Data Eng. Cheng Liu, Si Wu, Rui Li, Dazhi Jiang, Hau-San Wong
2023	A*	`conf`	Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus. CVPR Wenhao Wu, Hau-San Wong, Si Wu
2023	A*	`conf`	Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation. CVPR Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong
2023	B	`conf`	Unknown Class Feature Transformation for Open Set Domain Adaptation Without Source Data. ICIP Jian Zhong, Si Wu, Hau-San Wong
2023	J	`jnl`	View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification. IEEE Trans. Biomed. Eng. Cheng Liu, Si Wu, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. IEEE Multim. Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong
2022	J	`jnl`	Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. IEEE Trans. Neural Networks Learn. Syst. Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	Attention regularized semi-supervised learning with class-ambiguous data for image classification. Pattern Recognit. Xiaoyang Huo, Xiangping Zeng, Si Wu, Hau-San Wong
2022	J	`jnl`	Learning scene-adaptive pseudo annotations for pedestrian detection in semi-supervised scenarios. Knowl. Based Syst. Wenhao Wu, Qianfen Jiao, Hau-San Wong, Gaozhe Li, Si Wu
2022	J	`jnl`	Perturbation-insensitive cross-domain image enhancement for low-quality face verification. Inf. Sci. Qianfen Jiao, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
2022	J	`jnl`	Scene-Adaptive Instance Modification for Semisupervised Pedestrian Detection. IEEE Multim. Gaozhe Li, Si Wu
2022	J	`jnl`	Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong
2022	A	`conf`	Semi-Supervised Generative Learning with Extended Distribution Matching for Class-Conditional Image Synthesis. ICME Xiaoyang Huo, Guangchang Deng, Si Wu, Zhiwen Yu, Peng Li
2022	J	`jnl`	Semisupervised Multiple Choice Learning for Ensemble Classification. IEEE Trans. Cybern. Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2022	A	`conf`	Source-Free Unsupervised Cross-Domain Pedestrian Detection via Pseudo Label Mining and Screening. ICME Zhiri Tang, Qianfen Jiao, Jian Zhong, Si Wu, Hau-San Wong
2022	A*	`conf`	SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong
2022	J	`jnl`	Supervised Graph Clustering for Cancer Subtyping Based on Survival Analysis and Integration of Multi-Omic Tumor Data. IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2022	J	`jnl`	TSEV-GAN: Generative Adversarial Networks with Target-aware Style Encoding and Verification for facial makeup transfer. Knowl. Based Syst. Zhen Xu, Si Wu, Qianfen Jiao, Hau-San Wong
2022	J	`jnl`	The residual generator: An improved divergence minimization framework for GAN. Pattern Recognit. Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2022	—	`conf`	Unreliability-Aware Disentangling for Cross-Domain Semi-supervised Pedestrian Detection. ACCV (2) Wenhao Wu, Si Wu, Hau-San Wong
2022	J	`jnl`	Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong
2022	J	`jnl`	αβ-GAN: Robust generative adversarial networks. Inf. Sci. Aurele Tohokantche Gnanha, Wenming Cao, Xudong Mao, Si Wu, Hau-San Wong, Qing Li
2021	A	`conf`	Adversarial Adaptive Interpolation for Regularizing Representation Learning and Image Synthesis in Autoencoders. ICME Guanyue Li, Xiwen Wei, Sheng Qian, Si Wu, Zhiwen Yu, Hau-San Wong
2021	B	`conf`	Adversarially Smoothed Feature Alignment for Visual Domain Adaptation. IJCNN Mohamed Azzam, Si Wu, Yang Zhang, Aurele Tohokantche Gnanha, Hau-San Wong
2021	J	`jnl`	Behavior regularized prototypical networks for semi-supervised few-shot image classification. Pattern Recognit. Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong
2021	J	`jnl`	DDAT: Dual domain adaptive translation for low-resolution face verification in the wild. Pattern Recognit. Qianfen Jiao, Rui Li, Wenming Cao, Jian Zhong, Si Wu, Hau-San Wong
2021	A*	`conf`	Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong
2021	A*	`conf`	High Fidelity GAN Inversion via Prior Multi-Subspace Feature Composition. AAAI Guanyue Li, Qianfen Jiao, Sheng Qian, Si Wu, Hau-San Wong
2021	J	`jnl`	KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. IEEE Trans. Multim. Mohamed Azzam, Wenhao Wu, Wen-ming Cao, Si Wu, Hau-San Wong
2021	J	`jnl`	Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. IEEE Trans. Image Process. Haohong Zhou, Mohamed Azzam, Jian Zhong, Cheng Liu, Si Wu, Hau-San Wong
2021	A*	`conf`	Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. CVPR Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
2021	A*	`conf`	Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong
2021	A	`conf`	Unsupervised Domain Adaptation VIA Cluster Alignment with Maximum Classifier Discrepancy. ICME Mohamed Azzam, Si Wu, Aurele Tohokantche Gnanha, Qianfen Jiao, Hau-San Wong
2020	B	`conf`	Adversarially Constrained Interpolation for Unsupervised Domain Adaptation. ICPR Mohamed Azzam, Aurele Tohokantche Gnanha, Hau-San Wong, Si Wu
2020	J	`jnl`	Generating Target Image-Label Pairs for Unsupervised Domain Adaptation. IEEE Trans. Image Process. Rui Li, Wenming Cao, Si Wu, Hau-San Wong
2020	J	`jnl`	Joint subspace and discriminative learning for self-paced domain adaptation. Knowl. Based Syst. Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong
2020	A*	`conf`	Model Adaptation: Unsupervised Domain Adaptation Without Source Data. CVPR Rui Li, Qianfen Jiao, Wenming Cao, Hau-San Wong, Si Wu
2020	J	`jnl`	Multitask Feature Selection by Graph-Clustered Feature Sharing. IEEE Trans. Cybern. Cheng Liu, Chutao Zheng, Si Wu, Zhiwen Yu, Hau-San Wong
2020	A*	`conf`	Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning. CVPR Yi Liu, Guangchang Deng, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong
2020	J	`jnl`	Self-Enhanced R-CNNs for Human Detection With Semi-Supervised Assumptions. IEEE Access Xuexian Chen, Si Wu, Zhiwen Yu
2020	J	`jnl`	Semi-Supervised Deep Coupled Ensemble Learning With Classification Landmark Exploration. IEEE Trans. Image Process. Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong
2020	J	`jnl`	Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification. IEEE Trans. Image Process. Si Wu, Wenhao Wu, Shiyao Lei, Sihao Lin, Rui Li, Zhiwen Yu, Hau-San Wong
2020	J	`jnl`	Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognit. Rui Li, Wenming Cao, Qianfen Jiao, Si Wu, Hau-San Wong
2019	J	`jnl`	Encoding sparse and competitive structures among tasks in multi-task learning. Pattern Recognit. Cheng Liu, Chutao Zheng, Sheng Qian, Si Wu, Hau-San Wong
2019	A*	`conf`	Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. CVPR Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong
2019	J	`jnl`	Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering. IEEE Trans. Neural Networks Learn. Syst. Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong
2019	A*	`conf`	Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks. AAAI Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, Hau-San Wong
2019	A*	`conf`	Improving representation learning in autoencoders via multidimensional interpolation and dual regularizations. IJCAI Sheng Qian, Guanyue Li, Wen-ming Cao, Cheng Liu, Si Wu, Hau-San Wong
2019	J	`jnl`	Multiobjective Semisupervised Classifier Ensemble. IEEE Trans. Cybern. Zhiwen Yu, Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, Jun Zhang
2019	A*	`conf`	Mutual Learning of Complementary Networks via Residual Correction for Improving Semi-Supervised Classification. CVPR Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, Hau-San Wong
2019	A*	`conf`	Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement. ICCV Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong
2019	J	`jnl`	Unsupervised Multi-task Learning with Hierarchical Data Structure. Pattern Recognit. Wenming Cao, Sheng Qian, Si Wu, Hau-San Wong
2018	J	`jnl`	Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification. IEEE Access Farrikh Alzami, Juan Tang, Zhiwen Yu, Si Wu, C. L. Philip Chen, Jane You, Jun Zhang
2018	J	`jnl`	Adaptive activation functions in convolutional neural networks. Neurocomputing Sheng Qian, Hua Liu, Cheng Liu, Si Wu, Hau-San Wong
2018	—	`conf`	Coupled Learning for Image Generation and Latent Representation Inference Using MMD. PCM (2) Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
2018	B	`conf`	Cross-domain Semantic Feature Learning via Adversarial Adaptation Networks. ICPR Rui Li, Wen-ming Cao, Sheng Qian, Hau-San Wong, Si Wu
2018	—	`conf`	Efficient Direct Structured Subspace Clustering. ICONIP (4) Wen-ming Cao, Rui Li, Sheng Qian, Si Wu, Hau-San Wong
2018	J	`jnl`	Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu
2018	—	`conf`	Self-supervised GAN for Image Generation by Correlating Image Channels. PCM (2) Sheng Qian, Wen-ming Cao, Rui Li, Si Wu, Hau-San Wong
2018	J	`jnl`	Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu
2018	J	`jnl`	Variant SemiBoost for Improving Human Detection in Application Scenes. IEEE Trans. Circuits Syst. Video Technol. Si Wu, Hau-San Wong, Shufeng Wang
2017	—	`conf`	Adapting Generic Detector for Semi-Supervised Pedestrian Detection. PCM (1) Shiyao Lei, Qiujia Ji, Shufeng Wang, Si Wu
2016	J	`jnl`	Incremental Semi-Supervised Clustering Ensemble for High Dimensional Data Clustering. IEEE Trans. Knowl. Data Eng. Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han
2016	A*	`conf`	Incremental semi-supervised clustering ensemble for high dimensional data clustering. ICDE Zhiwen Yu, Peinan Luo, Si Wu, Guoqiang Han, Jane You, Hareton Leung, Hau-San Wong, Jun Zhang
2016	J	`jnl`	Progressive subspace ensemble learning. Pattern Recognit. Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han
2015	J	`jnl`	Improving pedestrian detection with selective gradient self-similarity feature. Pattern Recognit. Si Wu, Robert Laganière, Pierre Payeur
2014	J	`jnl`	A Bayesian Model for Crowd Escape Behavior Detection. IEEE Trans. Circuits Syst. Video Technol. Si Wu, Hau-San Wong, Zhiwen Yu
2013	—	`conf`	Event Detection using Local Part Model and Random Sampling Strategy for Visual Surveillance. TRECVID Si Wu, Feng Shi, Mathieu Jobin, Emilienne Pugin, Robert Laganière, Emil M. Petriu
2012	J	`jnl`	A fuzzy minimax clustering model and its applications. Inf. Sci. Xiang Li, Hau-San Wong, Si Wu
2012	J	`jnl`	Crowd Motion Partitioning in a Scattered Motion Field. IEEE Trans. Syst. Man Cybern. Part B Si Wu, Hau-San Wong
2012	J	`jnl`	Joint segmentation of collectively moving objects using a bag-of-words model and level set evolution. Pattern Recognit. Si Wu, Hau-San Wong
2009	—	`conf`	A Shape Derivative Based Approach for Crowd Flow Segmentation. ACCV (1) Si Wu, Zhiwen Yu, Hau-San Wong
2009	—	`conf`	Crowd Flow Segmentation Using a Novel Region Growing Scheme. PCM Si Wu, Zhiwen Yu, Hau-San Wong