379 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Sun Yat-sen UniversityCN23 papers
- South China Agricultural UniversityCN7 papers
- Ministry of Education of the People's Republic of ChinaCN4 papers
- Ministry of Agriculture and Rural AffairsCN2 papers
- SYSU-CMU International Joint Research InstituteCN2 papers
- University of Maryland, College ParkUS2 papers
- Clemson UniversityUS1 paper
- Guangdong Industry Technical CollegeCN1 paper
- Guangdong University of FinanceCN1 paper
- Guangdong University Of Finances and EconomicsCN1 paper
- Hefei University of TechnologyCN1 paper
- Instituto de TelecomunicaçõesPT1 paper
23 papers
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Si-Guo Fang, Dong Huang, Xiao-Sha Cai +3
Although previous graph-based multi-view clustering algorithms have gained significant progress, most of them are still faced with three limitations. First, they often suffer from…
SNN2ANN: A Fast and Memory-Efficient Training Framework for Spiking Neural Networks
Jianxiong Tang, Jianhuang Lai, Xiaohua Xie +2
Spiking neural networks are efficient computation models for low-power environments. Spike-based BP algorithms and ANN-to-SNN (ANN2SNN) conversions are successful techniques for SN…
Distributed quantum algorithm for Simon's problem
Jiawei Tan, Ligang Xiao, Daowen Qiu +2
Limited by today's physical devices, quantum circuits are usually noisy and difficult to be designed deeply. The novel computing architecture of distributed quantum computing is ex…
Cross-Camera Trajectories Help Person Retrieval in a Camera Network
Xin Zhang, Xiaohua Xie, Jianhuang Lai +1
We are concerned with retrieving a query person from multiple videos captured by a non-overlapping camera network. Existing methods often rely on purely visual matching or consider…
Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation
Qi Chen, Lingxiao Yang, Jianhuang Lai +1
Weakly Supervised Semantic Segmentation (WSSS) based on image-level labels has attracted much attention due to low annotation costs. Existing methods often rely on Class Activation…
Fast Multi-view Clustering via Ensembles: Towards Scalability, Superiority, and Simplicity
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Despite significant progress, there remain three limitations to the previous multi-view clustering algorithms. First, they often suffer from high computational complexity, restrict…
Seeking Commonness and Inconsistencies: A Jointly Smoothed Approach to Multi-view Subspace Clustering
Xiaosha Cai, Dong Huang, Guang-Yu Zhang +1
Multi-view subspace clustering aims to discover the hidden subspace structures from multiple views for robust clustering, and has been attracting considerable attention in recent y…
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
Peijia Chen, Jianhuang Lai, Guangcong Wang +1
Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences. However, sp…
Partial Boolean functions with exact quantum 1-query complexity
Guoliang Xu, Daowen Qiu
We provide two sufficient and necessary conditions to characterize any -bit partial Boolean function with exact quantum 1-query complexity. Using the first characterization, we…
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang, Chengying Gao, Yuyin Zhou +4
In this paper, we study physical adversarial attacks on object detectors in the wild. Previous works mostly craft instance-dependent perturbations only for rigid or planar objects.…
Linear Complexity of A Family of Binary -periodic Sequences From Euler Quotients
Jingwei Zhang, Shuhong Gao, Chang-An Zhao
We first introduce a family of binary -periodic sequences based on the Euler quotients modulo , where and are two distinct odd primes and divides . The m…
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
Ning Liu, Yongchao Long, Changqing Zou +3
We propose an attention-injective deformable convolutional network called ADCrowdNet for crowd understanding that can address the accuracy degradation problem of highly congested n…
IGCV: Interleaved Structured Sparse Convolutional Neural Networks
Guotian Xie, Jingdong Wang, Ting Zhang +3
In this paper, we study the problem of designing efficient convolutional neural network architectures with the interest in eliminating the redundancy in convolution kernels. In add…
Toward Multidiversified Ensemble Clustering of High-Dimensional Data: From Subspaces to Metrics and Beyond
Dong Huang, Chang-Dong Wang, Jian-Huang Lai +1
The rapid emergence of high-dimensional data in various areas has brought new challenges to current ensemble clustering research. To deal with the curse of dimensionality, recently…
Image Processing Operations Identification via Convolutional Neural Network
Bolin Chen, Haodong Li, Weiqi Luo
In recent years, image forensics has attracted more and more attention, and many forensic methods have been proposed for identifying image processing operations. Up to now, most ex…
Motion-Appearance Interactive Encoding for Object Segmentation in Unconstrained Videos
Chunchao Guo, Jianhuang Lai, Xiaohua Xie
We present a novel method of integrating motion and appearance cues for foreground object segmentation in unconstrained videos. Unlike conventional methods encoding motion and appe…
Achievable Rate Region of Non-Orthogonal Multiple Access Systems with Wireless Powered Decoder
Jie Gong, Xiang Chen
Non-orthogonal multiple access (NOMA) is a candidate multiple access scheme in 5G systems for the simultaneous access of tremendous number of wireless nodes. On the other hand, RF-…
Bi-Fuzzy Discrete Event Systems and Their Supervisory Control Theory
Weilin Deng, Daowen Qiu
It is well known that type-1 fuzzy sets (T1 FSs) have limited capabilities to handle some data uncertainties directly, and type-2 fuzzy sets (T2 FSs) can cover the shortcoming of T…
Robust Ensemble Clustering Using Probability Trajectories
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
Although many successful ensemble clustering approaches have been developed in recent years, there are still two limitations to most of the existing approaches. First, they mostly…
Locally Weighted Ensemble Clustering
Dong Huang, Chang-Dong Wang, Jian-Huang Lai
Due to its ability to combine multiple base clusterings into a probably better and more robust clustering, the ensemble clustering technique has been attracting increasing attentio…
Improvement of a quantum broadcasting multiple blind signature scheme based on quantum teleportation
Wei Zhang, Daowen Qiu, Xiangfu Zou
Recently, a broadcasting multiple blind signature scheme based on quantum teleportation has been proposed for the first time. It is claimed to have unconditional security and prope…
Combining Multiple Clusterings via Crowd Agreement Estimation and Multi-Granularity Link Analysis
Dong Huang, Jian-Huang Lai, Chang-Dong Wang
The clustering ensemble technique aims to combine multiple clusterings into a probably better and more robust clustering and has been receiving an increasing attention in recent ye…
Secure -dimensional Simultaneous Dense Coding and Applications
Haozhen Situ, Daowen Qiu, Paulo Mateus +1
Simultaneous dense coding guarantees that Bob and Charlie simultaneously receive their respective information from Alice in their respective processes of dense coding. The idea is…