Xiaolin Hu - RankMe

234 papers A* 54A 6B 6C 8Misc 1Journal 136Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Black Box: Theory and Mechanism of Large Language Models. CoRR Zeyu Gan, Ruifeng Ren, Wei Yao, Xiaolin Hu, Gengze Xu, Chen Qian, Huayi Tang, Zixuan Gong, Xinhao Yao, Pengwei Tang, Zhenxing Dou, Yong Liu
2026	J	`jnl`	Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders. IEEE CAA J. Autom. Sinica Yuqiu Liu, Huanqian Yan, Xiaopei Zhu, Xiaolin Hu, Liang Tang, Hang Su, Chen Lv
2026	A*	`conf`	FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation. AAAI Zhenghua Li, Hang Chen, Zihao Sun, Kai Li, Xiaolin Hu
2026	A*	`conf`	Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge. AAAI Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang
2026	J	`jnl`	RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation. CoRR Hao Li, Ziqin Wang, Zi-han Ding, Shuai Yang, Yilun Chen, Yang Tian, Xiaolin Hu, Tai Wang, Dahua Lin, Feng Zhao, Si Liu, Jiangmiao Pang
2026	A*	`conf`	VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples. AAAI Qixin Sun, Ziqin Wang, Hengyuan Zhao, Yilin Li, Kaiyou Song, Si Liu, Xiaolin Hu, Qingpei Guo, Linjiang Huang
2025	A	`conf`	A Fast and Lightweight Model for Causal Audio-Visual Speech Separation. ECAI Wendi Sang, Kai Li, Runxuan Yang, Jianqiang Huang, Xiaolin Hu
2025	J	`jnl`	A Fast and Lightweight Model for Causal Audio-Visual Speech Separation. CoRR Wendi Sang, Kai Li, Runxuan Yang, Jianqiang Huang, Xiaolin Hu
2025	J	`jnl`	A Single Set of Adversarial Clothes Breaks Multiple Defense Methods in the Physical World. CoRR Wei Zhang, Zhanhao Hu, Xiao Li, Xiaopei Zhu, Xiaolin Hu
2025	A*	`conf`	ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning. ICLR Pengwei Tang, Xiaolin Hu, Yong Liu
2025	J	`jnl`	ADePT: Adaptive Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning. CoRR Pengwei Tang, Xiaolin Hu, Yong Liu
2025	J	`jnl`	CEDNet: A cascade encoder-decoder network for dense prediction. Pattern Recognit. Gang Zhang, Ziyi Li, Chufeng Tang, Jianmin Li, Xiaolin Hu
2025	J	`jnl`	Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders. CoRR Yuqiu Liu, Huanqian Yan, Xiaopei Zhu, Xiaolin Hu, Liang Tang, Hang Su, Chen Lv
2025	A*	`conf`	Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries. ICLR Hang Chen, Chufeng Tang, Xiao Li, Xiaolin Hu
2025	J	`jnl`	Enhancing Spectrogram Realism in Singing Voice Synthesis via Explicit Bandwidth Extension Prior to Vocoder. CoRR Runxuan Yang, Kai Li, Guo Chen, Xiaolin Hu
2025	J	`jnl`	FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation. CoRR Zhenghua Li, Hang Chen, Zihao Sun, Kai Li, Xiaolin Hu
2025	A*	`conf`	Improving Accuracy and Calibration via Differentiated Deep Mutual Learning. CVPR Han Liu, Peng Cui, Bingning Wang, Weipeng Chen, Yupeng Zhang, Jun Zhu, Xiaolin Hu
2025	J	`jnl`	LLaVA-CMoE: Towards Continual Mixture of Experts for Large Vision-Language Models. CoRR Hengyuan Zhao, Ziqin Wang, Qixin Sun, Kaiyou Song, Yilin Li, Xiaolin Hu, Qingpei Guo, Si Liu
2025	J	`jnl`	On the Importance of Backbone to the Adversarial Robustness of Object Detectors. IEEE Trans. Inf. Forensics Secur. Xiao Li, Hang Chen, Xiaolin Hu
2025	J	`jnl`	Physical Adversarial Examples for Person Detectors in Thermal Images Based on 3D Modeling. IEEE Trans. Pattern Anal. Mach. Intell. Xiaopei Zhu, Siyuan Huang, Zhanhao Hu, Jianmin Li, Jun Zhu, Xiaolin Hu
2025	A	`conf`	SPMamba: Leveraging Long-Sequence Modeling with State Space Models for Speech Separation. ICME Kai Li, Guo Chen, Runxuan Yang, Xiaolin Hu
2025	J	`jnl`	Surrogate Signals from Format and Length: Reinforcement Learning for Solving Mathematical Problems without Ground Truth Answers. CoRR Rihui Xin, Han Liu, Zecheng Wang, Yupeng Zhang, Dianbo Sui, Xiaolin Hu, Bingning Wang
2025	J	`jnl`	The Debate on RLVR Reasoning Capability Boundary: Shrinkage, Expansion, or Both? A Two-Stage Dynamic View. CoRR Xinhao Yao, Lu Yu, Xiaolin Hu, Fengwei Teng, Qing Cui, Jun Zhou, Yong Liu
2025	C	`conf`	Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation. ASRU Guo Chen, Kai Li, Runxuan Yang, Xiaolin Hu
2025	J	`jnl`	Towards Auto-Regressive Next-Token Prediction: In-Context Learning Emerges from Generalization. CoRR Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu
2025	A*	`conf`	Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization. ICLR Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu
2025	J	`jnl`	VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples. CoRR Qixin Sun, Ziqin Wang, Hengyuan Zhao, Yilin Li, Kaiyou Song, Linjiang Huang, Xiaolin Hu, Qingpei Guo, Si Liu
2024	J	`jnl`	Accurate and Reliable Predictions with Mutual-Transport Ensemble. CoRR Han Liu, Peng Cui, Bingning Wang, Jun Zhu, Xiaolin Hu
2024	J	`jnl`	An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. IEEE Trans. Pattern Anal. Mach. Intell. Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu
2024	C	`conf`	CSFuser: A Cascade Siamese Fusion Architecture for RGB-Infrared Object Detection. ISNN Ziyi Li, Gang Zhang, Zhigang Zeng, Xiaolin Hu
2024	—	`conf`	Controllable Navigation Instruction Generation with Chain of Thought Prompting. ECCV (29) Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu
2024	J	`jnl`	Controllable Navigation Instruction Generation with Chain of Thought Prompting. CoRR Xianghao Kong, Jinyu Chen, Wenguan Wang, Hang Su, Xiaolin Hu, Yi Yang, Si Liu
2024	A*	`conf`	CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. NeurIPS Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang
2024	J	`jnl`	CooHOI: Learning Cooperative Human-Object Interaction with Manipulated Object Dynamics. CoRR Jiawei Gao, Ziqin Wang, Zeqi Xiao, Jingbo Wang, Tai Wang, Jinkun Cao, Xiaolin Hu, Si Liu, Jifeng Dai, Jiangmiao Pang
2024	J	`jnl`	DHS-DETR: Efficient DETRs with dynamic head switching. Comput. Vis. Image Underst. Hang Chen, Chufeng Tang, Xiaolin Hu
2024	A*	`conf`	Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective. NeurIPS Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu
2024	J	`jnl`	Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective. CoRR Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu
2024	A*	`conf`	Full-Distance Evasion of Pedestrian Detectors in the Physical World. NeurIPS Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su, Xiaolin Hu
2024	J	`jnl`	Full-ECE: A Metric For Token-level Calibration on Large Language Models. CoRR Han Liu, Yupeng Zhang, Bingning Wang, Weipeng Chen, Xiaolin Hu
2024	J	`jnl`	Hiding from thermal imaging pedestrian detectors in the physical world. Neurocomputing Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu
2024	A*	`conf`	IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation. ICML Kai Li, Runxuan Yang, Fuchun Sun, Xiaolin Hu
2024	C	`conf`	Improve Adversarial Robustness of MNIST Classification via Topological Data Analysis. ISNN Yining Liu, Xiao Li, Sitian Qin, Xiaolin Hu
2024	A*	`conf`	Infrared Adversarial Car Stickers. CVPR Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li, Xiaolin Hu
2024	J	`jnl`	Infrared Adversarial Car Stickers. CoRR Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu, Jianmin Li, Xiaolin Hu
2024	A*	`conf`	Language-Driven Anchors for Zero-Shot Adversarial Robustness. CVPR Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu
2024	A*	`conf`	Natural Language Induced Adversarial Images. ACM Multimedia Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yinpeng Dong, Xiaolin Hu
2024	J	`jnl`	Natural Language Induced Adversarial Images. CoRR Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yingpeng Dong, Xiaolin Hu
2024	A*	`conf`	Neural Retrievers are Biased Towards LLM-Generated Content. KDD Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu
2024	J	`jnl`	On the Privacy Effect of Data Enhancement via the Lens of Memorization. IEEE Trans. Inf. Forensics Secur. Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu
2024	—	`conf`	PartImageNet++ Dataset: Scaling Up Part-Based Models for Robust Recognition. ECCV (71) Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu
2024	J	`jnl`	PartImageNet++ Dataset: Scaling up Part-based Models for Robust Recognition. CoRR Xiao Li, Yining Liu, Na Dong, Sitian Qin, Xiaolin Hu
2024	J	`jnl`	Perfect Gradient Inversion in Federated Learning: A New Paradigm from the Hidden Subset Sum Problem. CoRR Qiongxiu Li, Lixia Luo, Agnese Gini, Changlong Ji, Zhanhao Hu, Xiao Li, Chengfang Fang, Jie Shi, Xiaolin Hu
2024	C	`conf`	PhonHuBERT: A Phoneme Transcription Tool for Song Datasets. ISNN Amaury Prat, Runxuan Yang, Xiaolin Hu
2024	A*	`conf`	RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation. ICLR Samuel Pegg, Kai Li, Xiaolin Hu
2024	A*	`conf`	SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection. CVPR Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, Xiaolin Hu
2024	J	`jnl`	SAFDNet: A Simple and Effective Network for Fully Sparse 3D Object Detection. CoRR Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Si Liu, Xiaolin Hu
2024	J	`jnl`	TDFNet: An Efficient Audio-Visual Speech Separation Model with Top-down Fusion. CoRR Samuel Pegg, Kai Li, Xiaolin Hu
2024	J	`jnl`	Theoretical Insights into Fine-Tuning Attention Mechanism: Generalization and Optimization. CoRR Xinhao Yao, Hongjin Qian, Xiaolin Hu, Gengze Xu, Yong Liu
2024	C	`conf`	nuScenesComplex: A More Rigorous Evaluation Framework for End-to-End Autonomous Driving Planning. ISNN Dung Nguyen, Gang Zhang, Hujie Pan, Xiaolin Hu
2023	J	`jnl`	A Fast High-Fidelity Source-Filter Vocoder With Lightweight Neural Modules. IEEE ACM Trans. Audio Speech Lang. Process. Runxuan Yang, Yuyang Peng, Xiaolin Hu
2023	J	`jnl`	Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2023	J	`jnl`	Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. CoRR Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
2023	A*	`conf`	An efficient encoder-decoder architecture with top-down attention for speech separation. ICLR Kai Li, Runxuan Yang, Xiaolin Hu
2023	A	`conf`	Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. INTERSPEECH Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
2023	J	`jnl`	Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
2023	J	`jnl`	CFNet: Cascade Fusion Network for Dense Prediction. CoRR Gang Zhang, Ziyi Li, Jianmin Li, Xiaolin Hu
2023	J	`jnl`	Extracting Semantic Knowledge From GANs With Unsupervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu
2023	J	`jnl`	Focal Distillation From High-Resolution Data to Low-Resolution Data for 3D Object Detection. IEEE Trans. Intell. Transp. Syst. Jiawei Shan, Gang Zhang, Chufeng Tang, Hujie Pan, Qiankun Yu, Guanhao Wu, Xiaolin Hu
2023	A*	`conf`	Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses. ICLR Xiaolin Hu, Shaojie Li, Yong Liu
2023	A*	`conf`	HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. NeurIPS Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu
2023	J	`jnl`	HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point Clouds. CoRR Gang Zhang, Junnan Chen, Guohuan Gao, Jianmin Li, Xiaolin Hu
2023	J	`jnl`	Hiding from infrared detectors in real world with adversarial clothes. Appl. Intell. Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu, Zheyao Wang
2023	J	`jnl`	LLMs may Dominate Information Access: Neural Retrievers are Biased Towards LLM-Generated Texts. CoRR Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Jun Xu
2023	J	`jnl`	Language-Driven Anchors for Zero-Shot Adversarial Robustness. CoRR Xiao Li, Wei Zhang, Yining Liu, Zhanhao Hu, Bo Zhang, Xiaolin Hu
2023	J	`jnl`	MIXPGD: Hybrid Adversarial Training for Speech Recognition Systems. CoRR Aminul Huq, Weiyi Zhang, Xiaolin Hu
2023	J	`jnl`	NP-Match: Towards a New Probabilistic Model for Semi-Supervised Learning. CoRR Jianfeng Wang, Xiaolin Hu, Thomas Lukasiewicz
2023	A*	`conf`	NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. ICML Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
2023	J	`jnl`	NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation. CoRR Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz
2023	J	`jnl`	On the Importance of Backbone to the Adversarial Robustness of Object Detectors. CoRR Xiao Li, Hang Chen, Xiaolin Hu
2023	A*	`conf`	Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CVPR Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
2023	J	`jnl`	Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling. CoRR Zhanhao Hu, Wenda Chu, Xiaopei Zhu, Hui Zhang, Bo Zhang, Xiaolin Hu
2023	J	`jnl`	RTFS-Net: Recurrent time-frequency modelling for efficient audio-visual speech separation. CoRR Samuel Pegg, Kai Li, Xiaolin Hu
2023	J	`jnl`	Recognizing Object by Components With Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
2023	J	`jnl`	SCANet: A Self- and Cross-Attention Network for Audio-Visual Speech Separation. CoRR Kai Li, Runxuan Yang, Xiaolin Hu
2023	A*	`conf`	Visual Recognition by Request. CVPR Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian
2022	—	`conf`	Active Pointly-Supervised Instance Segmentation. ECCV (28) Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu
2022	J	`jnl`	Active Pointly-Supervised Instance Segmentation. CoRR Chufeng Tang, Lingxi Xie, Gang Zhang, Xiaopeng Zhang, Qi Tian, Xiaolin Hu
2022	A*	`conf`	Adversarial Texture for Fooling Person Detectors in the Physical World. CVPR Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu
2022	J	`jnl`	Adversarial Texture for Fooling Person Detectors in the Physical World. CoRR Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Xiaolin Hu, Fuchun Sun, Bo Zhang
2022	J	`jnl`	Amplification trojan network: Attack deep neural networks by amplifying their inherent weakness. Neurocomputing Zhanhao Hu, Jun Zhu, Bo Zhang, Xiaolin Hu
2022	J	`jnl`	An Audio-Visual Speech Separation Model Inspired by Cortico-Thalamo-Cortical Circuits. CoRR Kai Li, Fenghua Xie, Hang Chen, Kexin Yuan, Xiaolin Hu
2022	J	`jnl`	An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. CoRR Zhanhao Hu, Tao Wang, Xiaolin Hu
2022	J	`jnl`	An efficient encoder-decoder architecture with top-down attention for speech separation. CoRR Kai Li, Runxuan Yang, Xiaolin Hu
2022	J	`jnl`	Bridging the Functional and Wiring Properties of V1 Neurons Through Sparse Coding. Neural Comput. Xiaolin Hu, Zhigang Zeng
2022	J	`jnl`	Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models. CoRR Han Liu, Bingning Wang, Ting Yao, Haijin Liang, Jianjin Xu, Xiaolin Hu
2022	J	`jnl`	Convolutional Neural Networks With Gated Recurrent Connections. IEEE Trans. Pattern Anal. Mach. Intell. Jianfeng Wang, Xiaolin Hu
2022	A	`conf`	Dense Contrastive Loss for Instance Segmentation. BMVC Hang Chen, Chufeng Tang, Xiaolin Hu
2022	J	`jnl`	Extracting Semantic Knowledge from GANs with Unsupervised Learning. CoRR Jianjin Xu, Zhaoxiang Zhang, Xiaolin Hu
2022	J	`jnl`	Improving Image Segmentation with Boundary Patch Refinement. Int. J. Comput. Vis. Xiaolin Hu, Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang
2022	J	`jnl`	Inferring Mechanisms of Auditory Attentional Modulation with Deep Neural Networks. Neural Comput. Ting-Yu Kuo, Yuanda Liao, Kai Li, Bo Hong, Xiaolin Hu
2022	A*	`conf`	Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. CVPR Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
2022	J	`jnl`	Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. CoRR Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu
2022	A*	`conf`	NP-Match: When Neural Processes meet Semi-Supervised Learning. ICML Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
2022	J	`jnl`	NP-Match: When Neural Processes meet Semi-Supervised Learning. CoRR Jianfeng Wang, Thomas Lukasiewicz, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Alexandros Neophytou
2022	J	`jnl`	On the Privacy Effect of Data Enhancement via the Lens of Memorization. CoRR Xiao Li, Qiongxiu Li, Zhanhao Hu, Xiaolin Hu
2022	A	`conf`	On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. INTERSPEECH Kai Li, Xiaolin Hu, Yi Luo
2022	J	`jnl`	On the Use of Deep Mask Estimation Module for Neural Source Separation Systems. CoRR Kai Li, Xiaolin Hu, Yi Luo
2022	J	`jnl`	Recognizing Object by Components with Human Prior Knowledge Enhances Adversarial Robustness of Deep Neural Networks. CoRR Xiao Li, Ziqi Wang, Bo Zhang, Fuchun Sun, Xiaolin Hu
2022	J	`jnl`	State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. Shangqi Guo, Qi Yan, Xin Su, Xiaolin Hu, Feng Chen
2022	J	`jnl`	The MSR-Video to Text dataset with clean annotations. Comput. Vis. Image Underst. Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu
2022	J	`jnl`	Visual Recognition by Request. CoRR Chufeng Tang, Lingxi Xie, Xiaopeng Zhang, Xiaolin Hu, Qi Tian
2021	J	`jnl`	Adjacency constraint for efficient hierarchical reinforcement learning. CoRR Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2021	J	`jnl`	Annotation Cleaning for the MSR-Video to Text Dataset. CoRR Haoran Chen, Jianmin Li, Simone Frintrop, Xiaolin Hu
2021	Misc	`conf`	Attack on Practical Speaker Verification System Using Universal Adversarial Perturbations. ICASSP Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu
2021	J	`jnl`	Attack on practical speaker verification system using universal adversarial perturbations. CoRR Weiyi Zhang, Shuning Zhao, Le Liu, Jianmin Li, Xingliang Cheng, Thomas Fang Zheng, Xiaolin Hu
2021	A*	`conf`	CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds. ICRA Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
2021	J	`jnl`	CloudAAE: Learning 6D Object Pose Regression with On-line Data Synthesis on Point Clouds. CoRR Ge Gao, Mikko Lauri, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
2021	J	`jnl`	Convolutional Neural Networks with Gated Recurrent Connections. CoRR Jianfeng Wang, Xiaolin Hu
2021	A*	`conf`	DAM: Discrepancy Alignment Metric for Face Recognition. ICCV Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang
2021	A*	`conf`	Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs. AAAI Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu
2021	J	`jnl`	Fooling thermal infrared pedestrian detectors in real world using small bulbs. CoRR Xiaopei Zhu, Xiao Li, Jianmin Li, Zheyao Wang, Xiaolin Hu
2021	J	`jnl`	Frame Difference-Based Temporal Loss for Video Stylization. CoRR Jianjin Xu, Zheyang Xiong, Xiaolin Hu
2021	A*	`conf`	Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CVPR Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
2021	A*	`conf`	Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation. CVPR Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu
2021	J	`jnl`	Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation. CoRR Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu
2021	A*	`conf`	RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CVPR Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu
2021	J	`jnl`	RSG: A Simple but Effective Module for Learning Imbalanced Datasets. CoRR Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu
2021	A*	`conf`	RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. CVPR Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
2021	J	`jnl`	RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features. CoRR Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu
2021	J	`jnl`	Rethinking Natural Adversarial Examples for Classification Models. CoRR Xiao Li, Jianmin Li, Ting Dai, Jie Shi, Jun Zhu, Xiaolin Hu
2021	A*	`conf`	Robust Logo Detection in E-Commerce Images by Data Augmentation. ACM Multimedia Hang Chen, Xiao Li, Zefan Wang, Xiaolin Hu
2021	A*	`conf`	Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. NeurIPS Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
2021	J	`jnl`	Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. CoRR Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
2021	J	`jnl`	Vocabulary-Wide Credit Assignment for Training Image Captioning Models. IEEE Trans. Image Process. Han Liu, Shifeng Zhang, Ke Lin, Jing Wen, Jianmin Li, Xiaolin Hu
2020	A*	`conf`	6D Object Pose Regression via Supervised Learning on Point Clouds. ICRA Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
2020	J	`jnl`	6D Object Pose Regression via Supervised Learning on Point Clouds. CoRR Ge Gao, Mikko Lauri, Yulong Wang, Xiaolin Hu, Jianwei Zhang, Simone Frintrop
2020	J	`jnl`	A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. IEEE Trans. Cybern. Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
2020	J	`jnl`	A Semantics-Assisted Video Captioning Model Trained With Scheduled Sampling. Frontiers Robotics AI Haoran Chen, Ke Lin, Alexander Maye, Jianmin Li, Xiaolin Hu
2020	—	`conf`	Boosting Decision-Based Black-Box Adversarial Attacks with Random Sign Flip. ECCV (15) Weilun Chen, Zhaoxiang Zhang, Xiaolin Hu, Baoyuan Wu
2020	—	`conf`	Companion Guided Soft Margin for Face Recognition. ECML/PKDD (3) Yingcheng Su, Yichao Wu, Zhenmao Li, Qiushan Guo, Ken Chen, Junjie Yan, Ding Liang, Xiaolin Hu
2020	A	`conf`	Delving Deeper into the Decoder for Video Captioning. ECAI Haoran Chen, Jianmin Li, Xiaolin Hu
2020	J	`jnl`	Delving Deeper into the Decoder for Video Captioning. CoRR Haoran Chen, Jianmin Li, Xiaolin Hu
2020	B	`conf`	Dynamic Multi-path Neural Network. ICPR Yingcheng Su, Yichao Wu, Ken Chen, Ding Liang, Xiaolin Hu
2020	A*	`conf`	Dynamic Network Pruning with Interpretable Layerwise Channel Selection. AAAI Yulong Wang, Xiaolu Zhang, Xiaolin Hu, Bo Zhang, Hang Su
2020	J	`jnl`	Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. CoRR Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
2020	A*	`conf`	Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. NeurIPS Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
2020	J	`jnl`	Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection. CoRR Xiang Li, Wenhai Wang, Lijun Wu, Shuo Chen, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang
2020	A*	`conf`	Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020	J	`jnl`	Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen
2020	J	`jnl`	Interpret Neural Networks by Extracting Critical Subnetworks. IEEE Trans. Image Process. Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
2020	J	`jnl`	Learning Reliable Visual Saliency For Model Explanations. IEEE Trans. Multim. Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
2020	J	`jnl`	Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit. IEEE Trans. Intell. Transp. Syst. Xiang Li, Jun Li, Xiaolin Hu, Jian Yang
2020	A*	`conf`	Online Knowledge Distillation via Collaborative Learning. CVPR Qiushan Guo, Xinjiang Wang, Yichao Wu, Zhipeng Yu, Ding Liang, Xiaolin Hu, Ping Luo
2020	J	`jnl`	PopMNet: Generating structured pop music melodies using neural networks. Artif. Intell. Jian Wu, Xiaoguang Liu, Xiaolin Hu, Jun Zhu
2020	A*	`conf`	Pruning from Scratch. AAAI Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
2020	A*	`conf`	Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition. CVPR Yudong Wu, Yichao Wu, Ruihao Gong, Yuanhao Lv, Ken Chen, Ding Liang, Xiaolin Hu, Xianglong Liu, Junjie Yan
2019	J	`jnl`	A Semantics-Assisted Video Captioning Model Trained with Scheduled Sampling. CoRR Haoran Chen, Ke Lin, Alexander Maye, Jianming Li, Xiaolin Hu
2019	J	`jnl`	A hierarchical sparse coding model predicts acoustic feature encoding in both auditory midbrain and cortex. PLoS Comput. Biol. Qingtian Zhang, Xiaolin Hu, Bo Hong, Bo Zhang
2019	J	`jnl`	Estimation of the Volume of the Left Ventricle From MRI Images Using Deep Neural Networks. IEEE Trans. Cybern. Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
2019	J	`jnl`	Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network. IEEE Trans. Neural Networks Learn. Syst. Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
2019	J	`jnl`	Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. Shangqi Guo, Zhaofei Yu, Fei Deng, Xiaolin Hu, Feng Chen
2019	A*	`conf`	Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. ICCV Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu
2019	J	`jnl`	Improving Pedestrian Attribute Recognition With Weakly-Supervised Multi-Scale Attribute-Specific Localization. CoRR Chufeng Tang, Lu Sheng, Zhaoxiang Zhang, Xiaolin Hu
2019	J	`jnl`	Interpretable Disentanglement of Neural Networks by Extracting Class-Specific Subnetwork. CoRR Yulong Wang, Xiaolin Hu, Hang Su
2019	A*	`conf`	Knowledge Distillation via Route Constrained Optimization. ICCV Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
2019	J	`jnl`	Knowledge Distillation via Route Constrained Optimization. CoRR Xiao Jin, Baoyun Peng, Yichao Wu, Yu Liu, Jiaheng Liu, Ding Liang, Junjie Yan, Xiaolin Hu
2019	—	`conf`	Learning Sparse Hidden States in Long Short-Term Memory. ICANN (2) Niange Yu, Cornelius Weber, Xiaolin Hu
2019	J	`jnl`	Pruning from Scratch. CoRR Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu
2019	A*	`conf`	Selective Kernel Networks. CVPR Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
2019	J	`jnl`	Selective Kernel Networks. CoRR Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
2019	J	`jnl`	Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks. CoRR Xiang Li, Xiaolin Hu, Jian Yang
2019	J	`jnl`	Topic-Oriented Image Captioning Based on Order-Embedding. IEEE Trans. Image Process. Niange Yu, Xiaolin Hu, Binheng Song, Jian Yang, Jianwei Zhang
2019	A*	`conf`	Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. AAAI Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu
2019	J	`jnl`	Turbo Learning Framework for Human-Object Interactions Recognition and Human Pose Estimation. CoRR Wei Feng, Wentao Liu, Tong Li, Jing Peng, Chen Qian, Xiaolin Hu
2019	A*	`conf`	Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift. CVPR Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang
2018	A*	`conf`	A Cascaded Inception of Inception Network With Attention Modulated Feature Fusion for Human Pose Estimation. AAAI Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu
2018	J	`jnl`	Adversarial Attacks and Defences Competition. CoRR Alexey Kurakin, Ian J. Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan L. Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe
2018	A*	`conf`	Boosting Adversarial Attacks With Momentum. CVPR Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Hang Su, Jun Zhu, Xiaolin Hu, Jianguo Li
2018	A*	`conf`	Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser. CVPR Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Xiaolin Hu, Jun Zhu
2018	J	`jnl`	Interlinked Convolutional Neural Networks for Face Parsing. CoRR Yisu Zhou, Xiaolin Hu, Bo Zhang
2018	A*	`conf`	Interpret Neural Networks by Identifying Critical Data Routing Paths. CVPR Yulong Wang, Hang Su, Bo Zhang, Xiaolin Hu
2018	J	`jnl`	Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift. CoRR Xiang Li, Shuo Chen, Xiaolin Hu, Jian Yang
2018	—	`conf`	UnrealStereo: Controlling Hazardous Factors to Analyze Stereo Vision. 3DV Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille
2017	J	`jnl`	A Hierarchical Recurrent Neural Network for Symbolic Melody Generation. CoRR Jian Wu, Changran Hu, Yulong Wang, Xiaolin Hu, Jun Zhu
2017	B	`conf`	Accelerating convolutional neural networks by group-wise 2D-filter pruning. IJCNN Niange Yu, Shi Qiu, Xiaolin Hu, Jianmin Li
2017	—	`conf`	An STDP-Based Supervised Learning Algorithm for Spiking Neural Networks. ICONIP (2) Zhanhao Hu, Tao Wang, Xiaolin Hu
2017	J	`jnl`	Convolution Neural Networks With Two Pathways for Image Style Recognition. IEEE Trans. Image Process. Tiancheng Sun, Yulong Wang, Jian Yang, Xiaolin Hu
2017	J	`jnl`	Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser. CoRR Fangzhou Liao, Ming Liang, Yinpeng Dong, Tianyu Pang, Jun Zhu, Xiaolin Hu
2017	A*	`conf`	Delving deeper into convolutional neural networks for camera relocalization. ICRA Jian Wu, Liwei Ma, Xiaolin Hu
2017	J	`jnl`	Discovering Adversarial Examples with Momentum. CoRR Yinpeng Dong, Fangzhou Liao, Tianyu Pang, Xiaolin Hu, Jun Zhu
2017	J	`jnl`	Estimation of the volume of the left ventricle from MRI images using deep neural networks. CoRR Fangzhou Liao, Xi Chen, Xiaolin Hu, Sen Song
2017	J	`jnl`	Evaluate the Malignancy of Pulmonary Nodules Using the 3D Deep Leaky Noisy-or Network. CoRR Fangzhou Liao, Ming Liang, Zhe Li, Xiaolin Hu, Sen Song
2017	—	`conf`	Gated Recurrent Convolution Neural Network for OCR. NIPS Jianfeng Wang, Xiaolin Hu
2017	—	`conf`	Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli. ISNN (1) Ke Bai, Fangzhou Liao, Xiaolin Hu
2017	A*	`conf`	Scale-Aware Face Detection. CVPR Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
2017	J	`jnl`	Scale-Aware Face Detection. CoRR Zekun Hao, Yu Liu, Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
2017	—	`conf`	Training the Hopfield Neural Network for Classification Using a STDP-Like Rule. ICONIP (3) Xiaolin Hu, Tao Wang
2016	—	`conf`	Fuzzy String Matching Using Sentence Embedding Algorithms. ICONIP (3) Yu Rong, Xiaolin Hu
2016	J	`jnl`	Guest Editorial Special Issue on Neurodynamic Systems for Optimization and Applications. IEEE Trans. Neural Networks Learn. Syst. Zhigang Zeng, Andrzej Cichocki, Long Cheng, Youshen Xia, Xiaolin Hu
2016	A*	`conf`	Joint Training of Cascaded CNN for Face Detection. CVPR Hongwei Qin, Junjie Yan, Xiu Li, Xiaolin Hu
2016	J	`jnl`	Solving the K-shortest paths problem in timetable-based public transportation systems. J. Intell. Transp. Syst. Shuai Wang, Yang Yang, Xiaolin Hu, Jianmin Li, Bingji Xu
2016	J	`jnl`	UnrealStereo: A Synthetic Dataset for Analyzing Stereo Vision. CoRR Yi Zhang, Weichao Qiu, Qi Chen, Xiaolin Hu, Alan L. Yuille
2015	C	`ed.`	Advances in Neural Networks - ISNN 2015 - 12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings ISNN Xiaolin Hu, Yousheng Xia, Yunong Zhang, Dongbin Zhao
2015	J	`jnl`	Comparison of ℓ IEEE Trans. Neural Networks Learn. Syst. Qingtian Zhang, Xiaolin Hu, Bo Zhang
2015	—	`conf`	Convolutional Neural Networks with Intra-Layer Recurrent Connections for Scene Labeling. NIPS Ming Liang, Xiaolin Hu, Bo Zhang
2015	—	`conf`	Deep Convolutional Neural Network and Multi-view Stacking Ensemble in Ali Mobile Recommendation Algorithm Competition: The Solution to the Winning of Ali Mobile Recommendation Algorithm. ICDM Workshops Xiang Li, Suchi Qian, Furong Peng, Jian Yang, Xiaolin Hu, Rui Xia
2015	C	`conf`	Interlinked Convolutional Neural Networks for Face Parsing. ISNN Yisu Zhou, Xiaolin Hu, Bo Zhang
2014	J	`jnl`	Learning Nonlinear Statistical Regularities in Natural Images by Modeling the Outer Product of Image Intensities. Neural Comput. Peng Qi, Xiaolin Hu
2014	J	`jnl`	Modeling response properties of V2 neurons using a hierarchical K-means model. Neurocomputing Xiaolin Hu, Jianwei Zhang, Peng Qi, Bo Zhang
2013	J	`jnl`	Data-based control, optimization, modeling and applications. Neural Comput. Appl. Dongbin Zhao, Yi Shen, Zhanshan Wang, Xiaolin Hu
2013	B	`conf`	Traffic sign detection based on convolutional neural networks. IJCNN Yihui Wu, Yulong Liu, Jianmin Li, Huaping Liu, Xiaolin Hu
2013	B	`conf`	Traffic sign detection by ROI extraction and histogram features-based recognition. IJCNN Ming Liang, Mingyi Yuan, Xiaolin Hu, Jianmin Li, Huaping Liu
2012	—	`conf`	Hierarchical K-Means Algorithm for Modeling Visual Area V2 Neurons. ICONIP (3) Xiaolin Hu, Peng Qi, Bo Zhang
2012	J	`jnl`	Solving the Assignment Problem Using Continuous-Time and Discrete-Time Improved Dual Networks. IEEE Trans. Neural Networks Learn. Syst. Xiaolin Hu, Jun Wang
2011	—	`conf`	Solving the Assignment Problem with the Improved Dual Neural Network. ISNN (1) Xiaolin Hu, Jun Wang
2010	J	`jnl`	A Gaussian Attractor Network for Memory and Recognition with Experience-Dependent Learning. Neural Comput. Xiaolin Hu, Bo Zhang
2010	J	`jnl`	Design of recurrent neural networks for solving constrained least absolute deviation problems. IEEE Trans. Neural Networks Xiaolin Hu, Changyin Sun, Bo Zhang
2009	J	`jnl`	A New Recurrent Neural Network for Solving Convex Quadratic Programming Problems With an Application to the k -Winners-Take-All Problem. IEEE Trans. Neural Networks Xiaolin Hu, Bo Zhang
2009	J	`jnl`	An Alternative Recurrent Neural Network for Solving Variational Inequalities and Related Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B Xiaolin Hu, Bo Zhang
2009	—	`conf`	Another Simple Recurrent Neural Network for Quadratic and Linear Programming. ISNN (3) Xiaolin Hu, Bo Zhang
2009	B	`conf`	Motion Planning with Obstacle Avoidance for Kinematically Redundant Manipulators Based on Two Recurrent Neural Networks. SMC Xiaolin Hu, Jun Wang, Bo Zhang
2008	J	`jnl`	An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its k-Winners-Take-All Application. IEEE Trans. Neural Networks Xiaolin Hu, Jun Wang
2008	—	`conf`	THU and ICRC at TRECVID 2008. TRECVID Yingyu Liang, Xiaobing Liu, Zhikun Wang, Jianmin Li, Binbin Cao, Zhichao Cao, Zhenlong Dai, Zhishan Guo, Wen Li, Leigang Luo, Zhaoshi Meng, Yinfeng Qin, Qiu Shi, Aibo Tian, Dong Wang, Qiuping Wang, Chenguang Zhu, Xiaolin Hu, Jinhui Yuan, Peijiang Yuan, Bo Zhang, Shi Chen, Jianguo Li, Tao Wang, Yimin Zhang
2008	—	`conf`	Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities. ISNN (1) Xiaolin Hu, Zhigang Zeng, Bo Zhang
2007	J	`jnl`	A Recurrent Neural Network for Solving a Class of General Variational Inequalities. IEEE Trans. Syst. Man Cybern. Part B Xiaolin Hu, Jun Wang
2007	—	`conf`	Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function. ISNN (3) Xiaolin Hu, Jun Wang
2007	J	`jnl`	Design of General Projection Neural Networks for Solving Monotone Linear Variational Inequalities and Linear and Quadratic Optimization Problems. IEEE Trans. Syst. Man Cybern. Part B Xiaolin Hu, Jun Wang
2007	J	`jnl`	Solving Generally Constrained Generalized Linear Variational Inequalities Using the General Projection Neural Networks. IEEE Trans. Neural Networks Xiaolin Hu, Jun Wang
2007	—	`conf`	Solving the k-Winners-Take-All Problem and the Oligopoly Cournot-Nash Equilibrium Problem Using the General Projection Neural Networks. ICONIP (1) Xiaolin Hu, Jun Wang
2007	—	`—`	Solving variational inequalities and related problems using recurrent neural networks. Xiaolin Hu
2006	B	`conf`	A Recurrent Neural Network for Solving Nonconvex Optimization Problems. IJCNN Xiaolin Hu, Jun Wang
2006	C	`conf`	Global stability of a recurrent neural network for solving pseudomonotone variational inequalities. ISCAS Xiaolin Hu, Jun Wang
2006	—	`conf`	Solving Extended Linear Programming Problems Using a Class of Recurrent Neural Networks. ICONIP (2) Xiaolin Hu, Jun Wang
2006	J	`jnl`	Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network. IEEE Trans. Neural Networks Xiaolin Hu, Jun Wang