Hongtao Lu - RankMe

239 papers A* 29A 20B 7C 3Misc 13Journal 127Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	HACMatch Semi-Supervised Rotation Regression with Hardness-Aware Curriculum Pseudo Labeling. CoRR Mei Li, Huayi Zhou, Suizhi Huang, Yuxiang Lu, Yue Ding, Hongtao Lu
2026	J	`jnl`	HACMatch: Semi-supervised rotation regression with hardness-aware curriculum pseudo labeling. Comput. Vis. Image Underst. Mei Li, Huayi Zhou, Suizhi Huang, Yuxiang Lu, Yue Ding, Hongtao Lu
2026	J	`jnl`	Semi-Supervised Unconstrained Head Pose Estimation in the Wild. IEEE Trans. Pattern Anal. Mach. Intell. Huayi Zhou, Fei Jiang, Jin Yuan, Yong Rui, Hongtao Lu, Kui Jia
2025	J	`jnl`	BECAME: BayEsian Continual Learning with Adaptive Model MErging. CoRR Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu
2025	A*	`conf`	BECAME: Bayesian Continual Learning with Adaptive Model Merging. ICML Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu
2025	A*	`conf`	CLIP-MT: Multi-Modal Knowledge-Driven Adaptive Scale Feature Allocation for Multi-Task Dense Prediction. ACM Multimedia Shalayiding Sirejiding, Yue Ding, Yuxiang Lu, Xinyi Hou, Shaokai Wu, Qichen He, Chunlin Wang, Wenqiang Guo, Hongtao Lu
2025	J	`jnl`	DAG: Deep Adaptive and Generative CoRR Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2025	J	`jnl`	Dejavu: Post-Deployment Learning for Embodied Agents via Experience Feedback. CoRR Shaokai Wu, Yanbiao Ji, Qiuchang Li, Zhiyi Zhang, Qichen He, Wenyuan Xie, Guodong Zhang, Bayram Bayramli, Yue Ding, Hongtao Lu
2025	A*	`conf`	Few-shot Implicit Function Generation via Equivariance. CVPR Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang
2025	J	`jnl`	Few-shot Implicit Function Generation via Equivariance. CoRR Suizhi Huang, Xingyi Yang, Hongtao Lu, Xinchao Wang
2025	A	`conf`	From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. CIKM Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu
2025	A*	`conf`	Generating Negative Samples for Multi-Modal Recommendation. ACM Multimedia Yanbiao Ji, Dan Luo, Chang Liu, Shaokai Wu, Jing Tong, Qichen He, Deyi Ji, Hongtao Lu, Yue Ding
2025	J	`jnl`	Generating Negative Samples for Multi-Modal Recommendation. CoRR Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Jing Tong, Shaokai Wu, Hongtao Lu
2025	J	`jnl`	Learning Auxiliary Representations With Inconsistency-Guided Detail Regularization for Mask-Guided Matting. IEEE Trans. Multim. Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu
2025	A*	`conf`	MORE: Multi-Organ Medical Image REconstruction Dataset. ACM Multimedia Shaokai Wu, Yapan Guo, Yanbiao Ji, Jing Tong, Yuxiang Lu, Mei Li, Suizhi Huang, Yue Ding, Hongtao Lu
2025	J	`jnl`	MORE: Multi-Organ Medical Image REconstruction Dataset. CoRR Shaokai Wu, Yapan Guo, Yanbiao Ji, Jing Tong, Yuxiang Lu, Mei Li, Suizhi Huang, Yue Ding, Hongtao Lu
2025	J	`jnl`	Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation. CoRR Deyi Ji, Feng Zhao, Hongtao Lu, Feng Wu, Jieping Ye
2025	J	`jnl`	Structural and Statistical Texture Knowledge Distillation and Learning for Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Deyi Ji, Feng Zhao, Hongtao Lu, Feng Wu, Jieping Ye
2025	A	`conf`	Towards Personalized Federated Multi-Scenario Multi-Task Recommendation. WSDM Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Yuxiang Lu, Suizhi Huang, Chang Liu, Xiaofeng Gao, Tsuyoshi Murata, Hongtao Lu
2025	—	`conf`	Unsupervised Domain Adaptive Hand Mesh Reconstruction of 2D Images in the Wild. ICANN (2) Xinyi Hou, Huayi Zhou, Yue Ding, Hongtao Lu
2024	J	`jnl`	Adaptive Task-Wise Message Passing for Multi-Task Learning: A Spatial Interaction Perspective. IEEE Trans. Circuits Syst. Video Technol. Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Suizhi Huang, Hongtao Lu, Yue Ding
2024	A	`conf`	BARTENDER: A simple baseline model for task-level heterogeneous federated learning. ICME Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu
2024	J	`jnl`	BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. IEEE Trans. Pattern Anal. Mach. Intell. Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu
2024	A*	`conf`	Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. KDD Chang Liu, QiWei Wang, Wenqing Lin, Yue Ding, Hongtao Lu
2024	J	`jnl`	Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training. CoRR Huayi Zhou, Mukun Luo, Fei Jiang, Yue Ding, Hongtao Lu
2024	A	`conf`	CGCUT: Unpaired Image-to-Image Translation via Cluster-Guided Contrastive Learning. ICME Longjie Qi, Yue Ding, Hongtao Lu
2024	Misc	`conf`	Changenet: Multi-Temporal Asymmetric Change Detection Dataset. ICASSP Deyi Ji, Siqi Gao, Mingyuan Tao, Hongtao Lu, Feng Zhao
2024	A*	`conf`	DAG: Deep Adaptive and Generative KDD Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi
2024	—	`conf`	Decoupling Classification and Localization of CLIP. ICME Workshops Muyang Yi, Zhaozhi Xie, Yuwen Yang, Chang Liu, Yue Ding, Hongtao Lu
2024	J	`jnl`	Differentiable Gaussian Representation for Incomplete CT Reconstruction. CoRR Shaokai Wu, Yuxiang Lu, Wei Ji, Suizhi Huang, Fengyu Yang, Shalayiding Sirejiding, Qichen He, Jing Tong, Yanbiao Ji, Yue Ding, Hongtao Lu
2024	A*	`conf`	Discrete Latent Perspective Learning for Segmentation and Detection. ICML Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye
2024	J	`jnl`	Discrete Latent Perspective Learning for Segmentation and Detection. CoRR Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye
2024	Misc	`conf`	Enhancing Cross-Domain Detection: Adaptive Class-Aware Contrastive Transformer. ICASSP Ziru Zeng, Yue Ding, Hongtao Lu
2024	J	`jnl`	Enhancing cross-domain detection: adaptive class-aware contrastive transformer. CoRR Ziru Zeng, Yue Ding, Hongtao Lu
2024	B	`conf`	Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study. ICMR Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding
2024	J	`jnl`	Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study. CoRR Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Hongtao Lu, Yue Ding
2024	A*	`conf`	Fedhca CVPR Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu
2024	B	`conf`	Integrating Semantic Segmentation Model for Self-Supervised Scene Flow Estimation via Cross Task Distillation. IJCNN Bayram Bayramli, Yue Ding, Hongtao Lu
2024	J	`jnl`	Learning Multiple Representations with Inconsistency-Guided Detail Regularization for Mask-Guided Matting. CoRR Weihao Jiang, Zhaozhi Xie, Yuxiang Lu, Longjie Qi, Jingyong Cai, Hiroyuki Uchiyama, Bin Chen, Yue Ding, Hongtao Lu
2024	J	`jnl`	Library book recommendation with CNN-FM deep learning approach. Libr. Hi Tech Xiaohua Shi, Chen Hao, Ding Yue, Hongtao Lu
2024	—	`conf`	MMAT: Multi-scale Multi-attention Transformer for Fine-Grained Wild Fungi Visual Classification. PRICAI (3) Qinyan Dai, Yuxiang Lu, Chunlin Wang, Hongtao Lu
2024	—	`conf`	Mediate: Mixture Domain Model-Agnostic Federated Learning. DASFAA (1) Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu
2024	J	`jnl`	NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. CoRR Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo, Mei Li, Wenqing Lin, Hongtao Lu
2024	A	`conf`	PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. ICME Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang
2024	J	`jnl`	PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation. CoRR Zhaozhi Xie, Bochen Guan, Weihao Jiang, Muyang Yi, Yue Ding, Hongtao Lu, Lei Zhang
2024	A*	`conf`	PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation. IJCAI Deyi Ji, Wenwei Jin, Hongtao Lu, Feng Zhao
2024	J	`jnl`	PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation. CoRR Deyi Ji, Wenwei Jin, Hongtao Lu, Feng Zhao
2024	J	`jnl`	Prompt Guided Transformer for Multi-Task Dense Prediction. IEEE Trans. Multim. Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
2024	J	`jnl`	Semi-Supervised Unconstrained Head Pose Estimation in the Wild. CoRR Huayi Zhou, Fei Jiang, Hongtao Lu
2024	J	`jnl`	Spammer detection on short video applications. Pattern Recognit. Lett. Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu
2024	J	`jnl`	Superpixel Guided Network for Weakly Supervised Semantic Segmentation. IEEE Signal Process. Lett. Zhaozhi Xie, Weihao Jiang, Yuwen Yang, Hongtao Lu
2024	J	`jnl`	T-Skeleton: Accurate scene text detection via instance-aware skeleton embedding. IET Image Process. Haiyan Li, Xingfei Hu, Hongtao Lu
2024	J	`jnl`	TFUT: Task fusion upward transformer model for multi-task learning on dense prediction. Comput. Vis. Image Underst. Zewei Xin, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Chunlin Wang, Tamam Alsarhan, Hongtao Lu
2024	Misc	`conf`	Task Indicating Transformer for Task-Conditional Dense Predictions. ICASSP Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu
2024	J	`jnl`	Task Indicating Transformer for Task-conditional Dense Predictions. CoRR Yuxiang Lu, Shalayiding Sirejiding, Bayram Bayramli, Suizhi Huang, Yue Ding, Hongtao Lu
2024	A*	`conf`	Task-Interaction-Free Multi-Task Learning with Efficient Hierarchical Feature Representation. ACM Multimedia Shalayiding Sirejiding, Bayram Bayramli, Yuxiang Lu, Yuwen Yang, Tamam Alsarhan, Hongtao Lu, Yue Ding
2024	J	`jnl`	Topology-Aware Popularity Debiasing via Simplicial Complexes. CoRR Yanbiao Ji, Yue Ding, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu
2024	—	`conf`	Towards Mixture of Task-Intensive Experts for Multi-task Recommendation. DASFAA (3) Xun Cai, Yuxiang Lu, Hongtao Lu, Yue Ding
2024	J	`jnl`	Towards Personalized Federated Multi-scenario Multi-task Recommendation. CoRR Yue Ding, Yanbiao Ji, Xun Cai, Xin Xin, Xiaofeng Gao, Hongtao Lu
2024	J	`jnl`	Tree-of-Table: Unleashing the Power of LLMs for Enhanced Large-Scale Table Understanding. CoRR Deyi Ji, Lanyun Zhu, Siqi Gao, Peng Xu, Hongtao Lu, Jieping Ye, Feng Zhao
2024	Misc	`conf`	UNIDEAL: Curriculum Knowledge Distillation Federated Learning. ICASSP Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
2024	J	`jnl`	View-Centric Multi-Object Tracking with Homographic Matching in Moving UAV. CoRR Deyi Ji, Siqi Gao, Lanyun Zhu, Yiru Zhao, Peng Xu, Hongtao Lu, Feng Zhao
2024	J	`jnl`	YOLO-MED : Multi-Task Interaction Network for Biomedical Images. CoRR Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu
2024	Misc	`conf`	YOLO-Med : Multi-Task Interaction Network for Biomedical Images. ICASSP Suizhi Huang, Shalayiding Sirejiding, Yuxiang Lu, Yue Ding, Leheng Liu, Hui Zhou, Hongtao Lu
2023	A*	`conf`	A Simple Framework for Text-Supervised Semantic Segmentation. CVPR Muyang Yi, Quan Cui, Hao Wu, Cheng Yang, Osamu Yoshie, Hongtao Lu
2023	J	`jnl`	Arbitrary shape scene text detector with accurate text instance generation based on instance-relevant contexts. Multim. Tools Appl. Haiyan Li, Yangsong Zhang, Bayram Bayramli, Hongtao Lu
2023	J	`jnl`	BPJDet: Extended Object Representation for Generic Body-Part Joint Detection. CoRR Huayi Zhou, Fei Jiang, Jiaxin Si, Yue Ding, Hongtao Lu
2023	A	`conf`	Body-Part Joint Detection and Association via Extended Object Representation. ICME Huayi Zhou, Fei Jiang, Hongtao Lu
2023	J	`jnl`	ChangeNet: Multi-Temporal Asymmetric Change Detection Dataset. CoRR Deyi Ji, Siqi Gao, Mingyuan Tao, Hongtao Lu, Feng Zhao
2023	J	`jnl`	Combining Past, Present and Future: A Self-Supervised Approach for Class Incremental Learning. CoRR Xiaoshuang Chen, Zhongyi Sun, Ke Yan, Shouhong Ding, Hongtao Lu
2023	—	`conf`	Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation. CVPR Workshops Tianyu Li, Subhankar Roy, Huayi Zhou, Hongtao Lu, Stéphane Lathuilière
2023	J	`jnl`	Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation. CoRR Tianyu Li, Subhankar Roy, Huayi Zhou, Hongtao Lu, Stéphane Lathuilière
2023	A	`conf`	Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation. WACV Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière
2023	J	`jnl`	DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles. CoRR Huayi Zhou, Fei Jiang, Hongtao Lu
2023	A*	`conf`	Generating Human Motion from Textual Descriptions with Discrete Representations. CVPR Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen, Shan Ying
2023	A*	`conf`	Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. IJCAI Deyi Ji, Feng Zhao, Hongtao Lu
2023	J	`jnl`	Guided Patch-Grouping Wavelet Transformer with Spatial Congruence for Ultra-High Resolution Segmentation. CoRR Deyi Ji, Feng Zhao, Hongtao Lu
2023	—	`conf`	Landmark-Assisted Facial Action Unit Detection with Optimal Attention and Contrastive Learning. ICONIP (12) Yi Yang, Qiaoping Hu, Hongtao Lu, Fei Jiang, Yaoyi Li
2023	—	`conf`	Multi-scale Local Region-Based Facial Action Unit Detection with Graph Convolutional Network. ICONIP (12) Yi Yang, Zhenchang Zhang, Hongtao Lu, Fei Jiang
2023	A	`conf`	Position-Aware Subgraph Neural Networks with Data-Efficient Learning. WSDM Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
2023	J	`jnl`	Prompt Guided Transformer for Multi-Task Dense Prediction. CoRR Yuxiang Lu, Shalayiding Sirejiding, Yue Ding, Chunlin Wang, Hongtao Lu
2023	J	`jnl`	RAFT-MSF: Self-Supervised Monocular Scene Flow Using Recurrent Optimizer. Int. J. Comput. Vis. Bayram Bayramli, Junhwa Hur, Hongtao Lu
2023	J	`jnl`	Radiologists with assistance of deep learning can achieve overall accuracy of benign-malignant differentiation of musculoskeletal tumors comparable with that of pre-surgical biopsies in the literature. Int. J. Comput. Assist. Radiol. Surg. Keyang Zhao, Xiaozhong Zhu, Mingzi Zhang, Zhaozhi Xie, Xu Yan, Sheng-Hui Wu, Peng Liao, Hongtao Lu, Wei Shen, Chicheng Fu, Haoyang Cui, Chuan He, Qu Fang, Jiong Mei
2023	J	`jnl`	SSDA-YOLO: Semi-supervised domain adaptive YOLO for cross-domain object detection. Comput. Vis. Image Underst. Huayi Zhou, Fei Jiang, Hongtao Lu
2023	A	`conf`	Scale-Aware Task Message Transferring for Multi-Task Learning. ICME Shalayiding Sirejiding, Yuxiang Lu, Hongtao Lu, Yue Ding
2023	J	`jnl`	Single Person Dense Pose Estimation via Geometric Equivariance Consistency. IEEE Trans. Multim. Qinchuan Zhang, Yi Jiang, Qin Zhou, Yiru Zhao, Yao Liu, Hongtao Lu, Xian-Sheng Hua
2023	Misc	`conf`	Spammer Detection on Short Video Applications: A new Challenge and Baselines. ICASSP Muyang Yi, Dong Liang, Rui Wang, Yue Ding, Hongtao Lu
2023	J	`jnl`	Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. CoRR Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu
2023	Misc	`conf`	Stuart: Individualized Classroom Observation of Students with Automatic Behavior Recognition And Tracking. ICASSP Huayi Zhou, Fei Jiang, Jiaxin Si, Lili Xiong, Hongtao Lu
2023	J	`jnl`	T2M-GPT: Generating Human Motion from Textual Descriptions with Discrete Representations. CoRR Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Shaoli Huang, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen
2023	J	`jnl`	Towards Hetero-Client Federated Multi-Task Learning. CoRR Yuxiang Lu, Suizhi Huang, Yuwen Yang, Shalayiding Sirejiding, Yue Ding, Hongtao Lu
2023	J	`jnl`	Trimap-guided feature mining and fusion network for natural image matting. Comput. Vis. Image Underst. Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu
2023	J	`jnl`	UNIDEAL: Curriculum Knowledge Distillation Federated Learning. CoRR Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding
2023	J	`jnl`	USMLP: U-shaped Sparse-MLP network for mass segmentation in mammograms. Image Vis. Comput. Jiaming Luo, Yongzhe Tang, Jie Wang, Hongtao Lu
2023	A*	`conf`	Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. CVPR Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
2023	J	`jnl`	Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. CoRR Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
2022	J	`jnl`	An Intuitive and Unconstrained 2D Cube Representation for Simultaneous Head Detection and Pose Estimation. CoRR Huayi Zhou, Fei Jiang, Lili Xiong, Hongtao Lu
2022	J	`jnl`	Body-Part Joint Detection and Association via Extended Object Representation. CoRR Huayi Zhou, Fei Jiang, Hongtao Lu
2022	J	`jnl`	Completely Heterogeneous Federated Learning. CoRR Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu
2022	Misc	`conf`	Coneface: Approximate Pairwise Loss for Face Recognition. ICASSP Zijun Zhuang, Hongtao Lu
2022	J	`jnl`	Cooperative Self-Training for Multi-Target Adaptive Semantic Segmentation. CoRR Yangsong Zhang, Subhankar Roy, Hongtao Lu, Elisa Ricci, Stéphane Lathuilière
2022	J	`jnl`	EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. CoRR Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
2022	J	`jnl`	Efficient dual attention SlowFast networks for video action recognition. Comput. Vis. Image Underst. Dafeng Wei, Ye Tian, Liqing Wei, Hong Zhong, Siqian Chen, Shiliang Pu, Hongtao Lu
2022	J	`jnl`	Enhanced discriminative graph convolutional network with adaptive temporal modelling for skeleton-based action recognition. Comput. Vis. Image Underst. Tamam Alsarhan, Usman Ali, Hongtao Lu
2022	Misc	`conf`	Exploring Category Consistency for Weakly Supervised Semantic Segmentation. ICASSP Zhaozhi Xie, Hongtao Lu
2022	J	`jnl`	Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding. CoRR Huayi Zhou, Fei Jiang, Jiaxin Si, Hongtao Lu
2022	B	`conf`	Merged U-Net for Bone Tumors X-Ray Images Segmentation. ICIP Zhaozhi Xie, Keyang Zhao, Xu Yan, Sheng-Hui Wu, Jiong Mei, Hongtao Lu
2022	J	`jnl`	NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. CoRR Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu
2022	J	`jnl`	Position-Aware Subgraph Neural Networks with Data-Efficient Learning. CoRR Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding
2022	J	`jnl`	RAFT-MSF: Self-Supervised Monocular Scene Flow using Recurrent Optimizer. CoRR Bayram Bayramli, Junhwa Hur, Hongtao Lu
2022	J	`jnl`	Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting. CoRR Xiaoshuang Chen, Hongtao Lu
2022	J	`jnl`	SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection. CoRR Huayi Zhou, Fei Jiang, Hongtao Lu
2022	A*	`conf`	Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. CVPR Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu
2022	J	`jnl`	StuArt: Individualized Classroom Observation of Students with Automatic Behavior Recognition and Tracking. CoRR Huayi Zhou, Fei Jiang, Jiaxin Si, Lili Xiong, Hongtao Lu
2022	J	`jnl`	ULN: An efficient face recognition method for person wearing a mask. Multim. Tools Appl. Hongtao Lu, Zijun Zhuang
2022	J	`jnl`	student dangerous behavior detection in school. CoRR Huayi Zhou, Fei Jiang, Hongtao Lu
2021	J	`jnl`	A Robust and Effective Text Detector Supervised by Contrastive Learning. IEEE Access Ran Wei, Yaoyi Li, Haiyan Li, Ze Tang, Hongtao Lu, Nengbin Cai, Xuejun Zhao
2021	J	`jnl`	A lightweight network for monocular depth estimation with decoupled body and edge supervision. Image Vis. Comput. Usman Ali, Bayram Bayramli, Tamam Alsarhan, Hongtao Lu
2021	A*	`conf`	Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. WWW Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding
2021	J	`jnl`	Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation. CoRR Zhe Xie, Chengxuan Liu, Yichi Zhang, Hongtao Lu, Dong Wang, Yue Ding
2021	J	`jnl`	FreqNet: A Frequency-domain Image Super-Resolution Network with Dicrete Cosine Transform. CoRR Runyuan Cai, Yue Ding, Hongtao Lu
2021	—	`conf`	Intelligent Student Fighting Recognition System in Schools. CISP-BMEI Tian Yu, Fei Jiang, Hongtao Lu
2021	Misc	`conf`	Laplacian Regularized Tensor Low-Rank Minimization for Hyperspectral Snapshot Compressive Imaging. ICASSP Yi Yang, Fei Jiang, Hongtao Lu
2021	J	`jnl`	Multi-modal constraint propagation via compatible conditional distribution reconstruction. Neurocomputing Yaoyi Li, Hongtao Lu
2021	J	`jnl`	PANet: Perspective-Aware Network with Dynamic Receptive Fields and Self-Distilling Supervision for Crowd Counting. CoRR Xiaoshuang Chen, Yiru Zhao, Yu Qin, Fei Jiang, Mingyuan Tao, Xiansheng Hua, Hongtao Lu
2021	A	`conf`	Semi-deterministic and Contrastive Variational Graph Autoencoder for Recommendation. CIKM Yue Ding, Yuxiang Shi, Bo Chen, Chenghua Lin, Hongtao Lu, Jie Li, Ruiming Tang, Dong Wang
2021	—	`conf`	ShallowNet: An Efficient Lightweight Text Detection Network Based on Instance Count-Aware Supervision Information. ICONIP (1) Xingfei Hu, Deyang Wu, Haiyan Li, Fei Jiang, Hongtao Lu
2021	J	`jnl`	Small and accurate heatmap-based face alignment via distillation strategy and cascaded architecture. Comput. Vis. Image Underst. Jiaxin Si, Fei Jiang, Ruimin Shen, Hongtao Lu
2021	J	`jnl`	Smart library book sorting application with intelligence computer vision technology. Libr. Hi Tech Xiaohua Shi, Kaicheng Tang, Hongtao Lu
2021	—	`conf`	Spatial Gradient Guided Learning and Semantic Relation Transfer for Facial Landmark Detection. MMM (1) Jian Wang, Yaoyi Li, Hongtao Lu
2021	—	`conf`	Text Detection by Jointly Learning Character and Word Regions. ICDAR (1) Deyang Wu, Xingfei Hu, Zhaozhi Xie, Haiyan Li, Usman Ali, Hongtao Lu
2021	A	`conf`	Towards Dynamic and Scalable Active Learning with Neural Architecture Adaption for Object Detection. BMVC Fuhui Tang, Chenhan Jiang, Dafeng Wei, Hang Xu, Andi Zhang, Wei Zhang, Hongtao Lu, Chunjing Xu
2021	J	`jnl`	Trimap-guided Feature Mining and Fusion Network for Natural Image Matting. CoRR Weihao Jiang, Dongdong Yu, Zhaozhi Xie, Yaoyi Li, Zehuan Yuan, Hongtao Lu
2020	—	`conf`	Ensemble-Based Deep Metric Learning for Few-Shot Learning. ICANN (1) Meng Zhou, Yaoyi Li, Hongtao Lu
2020	J	`jnl`	Hierarchical Opacity Propagation for Image Matting. CoRR Yaoyi Li, Qingyao Xu, Hongtao Lu
2020	B	`conf`	Image-based Table Cell Detection: a Novel Table Structure Decomposition Method with New Dataset. ICPR Dafeng Wei, Hongtao Lu, Yi Zhou, Kai Chen
2020	A	`conf`	Inductive Guided Filter: Real-Time Deep Matting with Weakly Annotated Masks on Mobile Devices. ICME Yaoyi Li, Jianfu Zhang, Weijie Zhao, Weihao Jiang, Hongtao Lu
2020	—	`conf`	LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. ICME Workshops Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu
2020	J	`jnl`	LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. CoRR Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu
2020	—	`conf`	Missing Frame Detection of Surveillance Videos Based on Deep Learning in Forensic Science. ICCAI Zefeng Zhang, Hao Feng, Shaoyou Pan, Muyang Yi, Hongtao Lu
2020	A*	`conf`	Natural Image Matting via Guided Contextual Attention. AAAI Yaoyi Li, Hongtao Lu
2020	J	`jnl`	Natural Image Matting via Guided Contextual Attention. CoRR Yaoyi Li, Hongtao Lu
2020	J	`jnl`	Temporal Continuity Based Unsupervised Learning for Person Re-Identification. CoRR Usman Ali, Bayram Bayramli, Hongtao Lu
2019	A*	`conf`	Attribute-Driven Feature Disentangling and Temporal Aggregation for Video Person Re-Identification. CVPR Yiru Zhao, Xu Shen, Zhongming Jin, Hongtao Lu, Xian-Sheng Hua
2019	—	`conf`	Community Detection in Knowledge Graph Network with Matrix Factorization Learning. APWeb/WAIM Workshops Xiaohua Shi, Yin Qian, Hongtao Lu
2019	J	`jnl`	Community detection in scientific collaborative network with bayesian matrix learning. Frontiers Comput. Sci. Xiaohua Shi, Hongtao Lu
2019	—	`conf`	Data Quality Management in Institutional Research Output Data Center. DASFAA Workshops Xiaohua Shi, Zhuoyuan Xing, Hongtao Lu
2019	—	`conf`	FH-GAN: Face Hallucination and Recognition Using Generative Adversarial Network. ICONIP (1) Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu
2019	J	`jnl`	FH-GAN: Face Hallucination and Recognition using Generative Adversarial Network. CoRR Bayram Bayramli, Usman Ali, Te Qi, Hongtao Lu
2019	—	`conf`	Improve Image Captioning by Self-attention. ICONIP (5) Zhenru Li, Yaoyi Li, Hongtao Lu
2019	J	`jnl`	Inductive Guided Filter: Real-time Deep Image Matting with Weakly Annotated Masks on Mobile Devices. CoRR Yaoyi Li, Jianfu Zhang, Weijie Zhao, Hongtao Lu
2019	J	`jnl`	Spatial Shortcut Network for Human Pose Estimation. CoRR Te Qi, Bayram Bayramli, Usman Ali, Qinchuan Zhang, Hongtao Lu
2019	—	`conf`	Temporal Continuity Based Unsupervised Learning for Person Re-identification. ICONIP (5) Usman Ali, Bayram Bayramli, Hongtao Lu
2018	—	`conf`	An Adversarial Approach to Hard Triplet Generation. ECCV (9) Yiru Zhao, Zhongming Jin, Guo-Jun Qi, Hongtao Lu, Xian-Sheng Hua
2018	Misc	`conf`	Anisotropic Total Variation Regularized Low-Rank Tensor Completion Based On Tensor Nuclear Norm for Color Image Inpainting. ICASSP Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
2018	A*	`conf`	Efficient Multi-Dimensional Tensor Sparse Coding Using t-Linear Combination. AAAI Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
2018	C	`conf`	End to end multi-scale convolutional neural network for crowd counting. ICMV Deyi Ji, Hongtao Lu, Tongzhen Zhang
2018	—	`conf`	Image Recognition with Deep Learning for Library Book Identification. PCM (3) Kaichen Tang, Hongtao Lu, Xiaohua Shi
2018	—	`conf`	Multilevel Collaborative Attention Network for Person Search. ACCV (1) Wenbo Li, Ze Chen, Zhenyong Fu, Hongtao Lu
2018	J	`jnl`	On Multi-modal Fusion Learning in constraint propagation. Inf. Sci. Yaoyi Li, Hongtao Lu
2017	—	`conf`	Adaptive Overlapping Community Detection with Bayesian NonNegative Matrix Factorization. DASFAA (2) Xiaohua Shi, Hongtao Lu, Guanbo Jia
2017	J	`jnl`	Efficient Two-Dimensional Sparse Coding Using Tensor-Linear Combination. CoRR Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
2017	J	`jnl`	Generalized Residual Vector Quantization and Aggregating Tree for Large Scale Search. IEEE Trans. Multim. Shicong Liu, Junru Shao, Hongtao Lu
2017	J	`jnl`	Graph Regularized Tensor Sparse Coding for Image Representation. CoRR Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
2017	A	`conf`	Graph regularized tensor sparse coding for image representation. ICME Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen
2017	B	`conf`	Learning deep representations with diode loss for quantization-based similarity search. IJCNN Shicong Liu, Hongtao Lu
2017	A	`conf`	Quantizable deep representation learning with gradient snapping layer for large scale search. ICME Shicong Liu, Hongtao Lu
2017	A	`conf`	Space shuttle model: A physics inspired method for learning quantizable deep representations. ICME Shicong Liu, Hongtao Lu
2017	A*	`conf`	Spatio-Temporal AutoEncoder for Video Anomaly Detection. ACM Multimedia Yiru Zhao, Bing Deng, Chen Shen, Yao Liu, Hongtao Lu, Xian-Sheng Hua
2017	A*	`conf`	Stylized Adversarial AutoEncoder for Image Generation. ACM Multimedia Yiru Zhao, Bing Deng, Jianqiang Huang, Hongtao Lu, Xian-Sheng Hua
2016	Misc	`conf`	Accelerated distance computation with encoding tree/forest for high dimensional data. ICMLC Shicong Liu, Junru Shao, Hongtao Lu
2016	J	`jnl`	Accurate Deep Representation Quantization with Gradient Snapping Layer for Similarity Search. CoRR Shicong Liu, Hongtao Lu
2016	A	`conf`	Adaptive affinity matrix for unsupervised metric learning. ICME Yaoyi Li, Junxuan Chen, Yiru Zhao, Hongtao Lu
2016	—	`conf`	Aggregating Tree for Searching in Billion Scale High Dimensional Data. ICDM Workshops Shicong Liu, Junru Shao, Hongtao Lu
2016	—	`conf`	Community Inference with Bayesian Non-negative Matrix Factorization. APWeb (1) Xiaohua Shi, Hongtao Lu
2016	A*	`conf`	Deep CTR Prediction in Display Advertising. ACM Multimedia Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua
2016	J	`jnl`	Deep CTR Prediction in Display Advertising. CoRR Junxuan Chen, Baigui Sun, Hao Li, Hongtao Lu, Xian-Sheng Hua
2016	A	`conf`	Generalized residual vector quantization for large scale data. ICME Shicong Liu, Junru Shao, Hongtao Lu
2016	J	`jnl`	Generalized residual vector quantization for large scale data. CoRR Shicong Liu, Junru Shao, Hongtao Lu
2016	A*	`conf`	LSOD: Local Sparse Orthogonal Descriptor for Image Matching. ACM Multimedia Yiru Zhao, Yaoyi Li, Zhiwen Shao, Hongtao Lu
2016	J	`jnl`	Multi-View Constraint Propagation with Consensus Prior Knowledge. CoRR Yaoyi Li, Hongtao Lu
2016	A	`conf`	Online self-organizing hashing. ICME Junxuan Chen, Yaoyi Li, Hongtao Lu
2015	J	`jnl`	Accelerated Distance Computation with Encoding Tree for High Dimensional Data. CoRR Shicong Liu, Junru Shao, Hongtao Lu
2015	J	`jnl`	Adaptive Affinity Matrix for Unsupervised Metric Learning. CoRR Yaoyi Li, Junxuan Chen, Hongtao Lu
2015	B	`conf`	Community Detection in Social Network with Pairwisely Constrained Symmetric Non-Negative Matrix Factorization. ASONAM Xiaohua Shi, Hongtao Lu, Yangcheng He, Shan He
2015	—	`conf`	Constrained Non-negative Matrix Factorization with Graph Laplacian. ICONIP (3) Pan Chen, Yangcheng He, Hongtao Lu, Li Wu
2015	A	`conf`	Distance Preserving Marginal Hashing for image retrieval. ICME Li Wu, Kang Zhao, Hongtao Lu, Zhen Wei, Bao-Liang Lu
2015	A	`conf`	Graph regularized non-negative local coordinate factorization with pairwise constraints for image representation. ICME Yangcheng He, Hongtao Lu, Bao-Liang Lu
2015	J	`jnl`	HCLAE: High Capacity Locally Aggregating Encodings for Approximate Nearest Neighbor Search. CoRR Shicong Liu, Junru Shao, Hongtao Lu
2015	J	`jnl`	Improved Residual Vector Quantization for High-dimensional Approximate Nearest Neighbor Search. CoRR Shicong Liu, Hongtao Lu, Junru Shao
2015	J	`jnl`	Learning Better Encoding for Approximate Nearest Neighbor Search with Dictionary Annealing. CoRR Shicong Liu, Hongtao Lu
2015	J	`jnl`	Local similarity learning for pairwise constraint propagation. Multim. Tools Appl. Zhenyong Fu, Zhiwu Lu, Horace H. S. Ip, Hongtao Lu, Yunyun Wang
2015	J	`jnl`	Non-negative Matrix Factorization with Pairwise Constraints and Graph Laplacian. Neural Process. Lett. Yangcheng He, Hongtao Lu, Lei Huang, Xiaohua Shi
2014	J	`jnl`	An integrated Gaussian mixture model to estimate vigilance level based on EEG recordings. Neurocomputing Jing-Nan Gu, Hongtao Lu, Bao-Liang Lu
2014	A*	`conf`	Locality Preserving Discriminative Hashing. ACM Multimedia Kang Zhao, Hongtao Lu, Yangcheng He, Shaokun Feng
2014	J	`jnl`	Non-negative and sparse spectral clustering. Pattern Recognit. Hongtao Lu, Zhenyong Fu, Xin Shu
2014	J	`jnl`	Pairwise constrained concept factorization for data representation. Neural Networks Yangcheng He, Hongtao Lu, Lei Huang, Saining Xie
2014	J	`jnl`	Semi-supervised non-negative matrix factorization for image clustering with graph Laplacian. Multim. Tools Appl. Yangcheng He, Hongtao Lu, Saining Xie
2013	—	`conf`	Image Classification Based on Weight Adjustment before Feature Pooling. ICONIP (3) Shaokun Feng, Hongtao Lu, Lei Huang
2012	J	`jnl`	Incremental visual objects clustering with the growing vocabulary tree. Multim. Tools Appl. Zhenyong Fu, Hongtao Lu, Wenbin Li
2012	A*	`conf`	Modalities consensus for multi-modal constraint propagation. ACM Multimedia Zhenyong Fu, Hongtao Lu, Horace Ho-Shing Ip, Zhiwu Lu
2012	B	`conf`	Multi-task co-clustering via nonnegative matrix factorization. ICPR Saining Xie, Hongtao Lu, Yangcheng He
2012	J	`jnl`	Novel robust image watermarking based on subsampling and DWT. Multim. Tools Appl. Wei Lu, Wei Sun, Hongtao Lu
2011	—	`conf`	An Integrated Hierarchical Gaussian Mixture Model to Estimate Vigilance Level Based on EEG Recordings. ICONIP (1) Jing-Nan Gu, Hongjun Liu, Hongtao Lu, Bao-Liang Lu
2011	J	`jnl`	Digital image splicing detection based on approximate run length. Pattern Recognit. Lett. Zhongwei He, Wei Sun, Wei Lu, Hongtao Lu
2011	A*	`conf`	Multi-modal constraint propagation for heterogeneous image clustering. ACM Multimedia Zhenyong Fu, Horace Ho-Shing Ip, Hongtao Lu, Zhiwu Lu
2011	J	`jnl`	Revealing digital fakery using multiresolution decomposition and higher order statistics. Eng. Appl. Artif. Intell. Wei Lu, Wei Sun, Fu-Lai Chung, Hongtao Lu
2011	A*	`conf`	Symmetric Graph Regularized Constraint Propagation. AAAI Zhenyong Fu, Zhiwu Lu, Horace Ho-Shing Ip, Yuxin Peng, Hongtao Lu
2010	Misc	`conf`	Blind image watermark analysis using higher order statistics. ICNC Wei Lu, Wei Sun, Hongtao Lu
2010	J	`jnl`	Feature based robust watermarking using image normalization. Comput. Electr. Eng. Wei Lu, Hongtao Lu, Fu-Lai Chung
2010	—	`conf`	Large Scale Visual Classification via Learned Dictionaries and Sparse Representation. AICI (1) Zhenyong Fu, Hongtao Lu, Nan Deng, Nengbin Cai
2009	—	`conf`	Enriched Gabor Feature Based PCA for Face Recognition with One Training Image per Person. ICNC (2) Wei Lu, Wei Sun, Hongtao Lu
2009	J	`jnl`	Evolutionary Discriminant Feature Extraction with Application to Face Recognition. EURASIP J. Adv. Signal Process. Qijun Zhao, David Zhang, Lei Zhang, Hongtao Lu
2009	J	`jnl`	Robust watermarking based on DWT and nonnegative matrix factorization. Comput. Electr. Eng. Wei Lu, Wei Sun, Hongtao Lu
2008	—	`conf`	Blind Image Watermark Analysis Using Feature Fusion and Neural Network Classifier. ISNN (2) Wei Lu, Wei Sun, Hongtao Lu
2008	J	`jnl`	Detecting fake images using watermarks and support vector machines. Comput. Stand. Interfaces Wei Lu, Fu-Lai Chung, Hongtao Lu, Kup-Sze Choi
2008	J	`jnl`	Robust Watermarking based on Subsampling and Nonnegative Matrix Factorization. Informatica Wei Lu, Hongtao Lu
2007	—	`conf`	Bagging Evolutionary Feature Extraction Algorithm for Classification. ICNC (3) Tianwen Zhao, Qijun Zhao, Hongtao Lu, David Zhang
2007	J	`jnl`	Novel robust image watermarking using difference correlation detector. Comput. Stand. Interfaces Wei Lu, Hongtao Lu, Fu-Lai Chung
2006	A*	`conf`	A Direct Evolutionary Feature Extraction Algorithm for Classifying High Dimensional Data. AAAI Qijun Zhao, David Zhang, Hongtao Lu
2006	J	`jnl`	A fast evolutionary pursuit algorithm based on linearly combining vectors. Pattern Recognit. Qijun Zhao, Hongtao Lu, David Zhang
2006	J	`jnl`	Blind Fake Image Detection Scheme Using SVD. IEICE Trans. Commun. Wei Lu, Fu-Lai Chung, Hongtao Lu
2006	J	`jnl`	Feature based watermarking using watermark template match. Appl. Math. Comput. Wei Lu, Hongtao Lu, Korris Fu-Lai Chung
2006	—	`conf`	Image Fakery and Neural Network Based Detection. ISNN (2) Wei Lu, Fu-Lai Chung, Hongtao Lu
2006	—	`conf`	Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines. ISNN (1) Qijun Zhao, Hongtao Lu, David Zhang
2006	—	`conf`	Robust Image Watermarking Using RBF Neural Network. ISNN (2) Wei Lu, Hongtao Lu, Fu-Lai Chung
2006	J	`jnl`	Robust digital image watermarking based on subsampling. Appl. Math. Comput. Wei Lu, Hongtao Lu, Fu-Lai Chung
2005	J	`jnl`	A novel image watermarking scheme based on support vector regression. J. Syst. Softw. Ruimin Shen, Yonggang Fu, Hongtao Lu
2005	J	`jnl`	Absolute exponential stability of a class of recurrent neural networks with multiple and variable delays. Theor. Comput. Sci. Hongtao Lu, Ruimin Shen, Fu-Lai Chung
2005	J	`jnl`	Attacking Subsampling-Based Watermarking. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Wei Lu, Hongtao Lu, Fu-Lai Chung
2005	J	`jnl`	Global exponential convergence of Cohen-Grossberg neural networks with time delays. IEEE Trans. Neural Networks Hongtao Lu, Ruimin Shen, Fu-Lai Chung
2005	J	`jnl`	Global exponential stability of delayed competitive neural networks with different time scales. Neural Networks Hongtao Lu, Zhenya He
2005	—	`conf`	SVR-Based Oblivious Watermarking Scheme. ISNN (2) Yonggang Fu, Ruimin Shen, Hongtao Lu, Xusheng Lei
2005	—	`conf`	Subsampling-Based Robust Watermarking Using Neural Network Detector. ISNN (2) Wei Lu, Hongtao Lu, Fu-Lai Chung
2004	—	`conf`	Color Image Watermarking Based on Neural Networks. ISNN (2) Wei Lu, Hongtao Lu, Ruimin Shen
2004	—	`conf`	Optimal Watermark Detection Based on Support Vector Machines. ISNN (1) Yonggang Fu, Ruimin Shen, Hongtao Lu
2004	J	`jnl`	Some sufficient conditions for global exponential stability of delayed Hopfield neural networks. Neural Networks Hongtao Lu, Fu-Lai Chung, Zhenya He
1995	C	`conf`	A New Type of Chaotic Attractor with Cellular Neural Networks. ISCAS Hongtao Lu, Luxi Yang, Baoyun Wang, Zhenya He
1995	C	`conf`	On the Capacity of Intraconnected Bidirectional Associative Memory. ISCAS Baoyun Wang, Luxi Yang, Hongtao Lu, Zhenya He