no code implementations • 3 Jun 2024 • Yuxuan Chen, Rongpeng Li, Xiaoxue Yu, Zhifeng Zhao, Honggang Zhang
Optimizing the deployment of large language models (LLMs) in edge computing environments is critical for enhancing privacy and computational efficiency.
no code implementations • 6 May 2024 • Xiaoxue Yu, Xingfu Yi, Rongpeng Li, Fei Wang, Chenghui Peng, Zhifeng Zhao, Honggang Zhang
Existing distributed learning frameworks like Federated Learning and Split Learning often struggle with significant challenges in dynamic network environments including high synchronization demands, costly communication overheads, severe computing resource consumption, and data heterogeneity across network nodes.
no code implementations • 18 Mar 2024 • Fei Ni, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
In particular, different from the conventional CRC, we introduce a topological data analysis (TDA)-based error detection method, which capably digs out the inner topological and geometric information of images, so as to capture semantic information and determine the necessity for re-transmission.
no code implementations • 18 Jan 2024 • Fei Ni, Bingyan Wang, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
In the swiftly advancing realm of communication technologies, Semantic Communication (SemCom), which emphasizes knowledge understanding and processing, has emerged as a hot topic.
no code implementations • 12 Dec 2023 • Peiwen Sun, Yifan Zhang, Zishan Liu, Donghao Chen, Honggang Zhang
The vanilla fusion methods still dominate a large percentage of mainstream audio-visual tasks.
no code implementations • 3 Dec 2023 • Zhilin Lu, Rongpeng Li, Ming Lei, Chan Wang, Zhifeng Zhao, Honggang Zhang
In particular, to enable stable optimization via a nondifferentiable semantic metric, we regard sentence similarity as a reward and formulate this learning process as an RL problem.
no code implementations • 26 Nov 2023 • Zhiyu Qu, Lan Yang, Honggang Zhang, Tao Xiang, Kaiyue Pang, Yi-Zhe Song
Creating multi-view wire art (MVWA), a static 3D sculpture with diverse interpretations from different viewpoints, is a complex task even for skilled artists.
no code implementations • 13 Nov 2023 • Ruolin Yang, Da Li, Conghui Hu, Timothy Hospedales, Honggang Zhang, Yi-Zhe Song
Reference-based video object segmentation is an emerging topic which aims to segment the corresponding target object in each video frame referred by a given reference, such as a language expression or a photo mask.
no code implementations • 6 Nov 2023 • Sizhao Li, Yuming Xiang, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
Multi-Robot System (MRS) has garnered widespread research interest and fostered tremendous interesting applications, especially in cooperative control fields.
no code implementations • 31 Jul 2023 • Siyu Tong, Xiaoxue Yu, Rongpeng Li, Kun Lu, Zhifeng Zhao, Honggang Zhang
Semantic communication (SemCom) demonstrates strong superiority over conventional bit-level accurate transmission, by only attempting to recover the essential semantic information of data.
1 code implementation • 31 Jul 2023 • Yuntao Liu, Qian Huang, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Shuyuan Zhao, Yongdong Zhu, Honggang Zhang
Collaborative perception by leveraging the shared semantic information plays a crucial role in overcoming the individual limitations of isolated agents.
no code implementations • 23 Jul 2023 • Yuming Xiang, Sizhao Li, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
Adaptive multi-agent formation control, which requires the formation to flexibly adjust along with the quantity variations of agents in a decentralized manner, belongs to one of the most challenging issues in multi-agent systems, especially under communication-limited constraints.
no code implementations • 12 Jul 2023 • Yuxuan Chen, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Jianjun Wu, Ekram Hossain, Honggang Zhang
Towards personalized generative services, a collaborative cloud-edge methodology is promising, as it facilitates the effective orchestration of heterogeneous distributed communication and computing resources.
no code implementations • 13 Feb 2023 • Bingyan Wang, Rongpeng Li, Jianhang Zhu, Zhifeng Zhao, Honggang Zhang
In recent years, with the rapid development of deep learning and natural language processing technologies, semantic communication has become a topic of great interest in the field of communication.
no code implementations • CVPR 2023 • Xiaolin Song, Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, Honggang Zhang
End-to-end pedestrian detection focuses on training a pedestrian detection model via discarding the Non-Maximum Suppression (NMS) post-processing.
no code implementations • 16 Dec 2022 • Zhilin Lu, Rongpeng Li, Kun Lu, Xianfu Chen, Ekram Hossain, Zhifeng Zhao, Honggang Zhang
Along with the springing up of the semantics-empowered communication (SemCom) research, it is now witnessing an unprecedentedly growing interest towards a wide range of aspects (e. g., theories, applications, metrics and implementations) in both academia and industry.
no code implementations • 3 Nov 2022 • Yue Sun, Zhuoming Huang, Honggang Zhang, Xiaohui Liang
The radar data is sent to a deep neural network model, which outputs the point cloud reconstruction of the multiple objects in the space.
no code implementations • 19 Sep 2022 • Xianfu Chen, Zhifeng Zhao, Shiwen Mao, Celimuge Wu, Honggang Zhang, Mehdi Bennis
We then put forward a novel offline DAC scheme, which estimates the optimal control policy from a previously collected dataset without any further interactions with the system.
no code implementations • 9 Sep 2022 • Peiwen Sun, Shanshan Zhang, Zishan Liu, Yougen Yuan, Taotao Zhang, Honggang Zhang, Pengfei Hu
It has already been observed that audio-visual embedding is more robust than uni-modality embedding for person verification.
no code implementations • 18 Aug 2022 • Jianhang Zhu, Rongpeng Li, Guoru Ding, Chan Wang, Jianjun Wu, Zhifeng Zhao, Honggang Zhang
In this paper, to maximize the cache hit rate, we leverage an effective dynamic graph neural network (DGNN) to jointly learn the structural and temporal patterns embedded in the bipartite graph.
1 code implementation • 23 Jul 2022 • Kun Lu, Rongpeng Li, Honggang Zhang
Continuous one-to-many mapping is a less investigated yet important task in both low-level visions and neural image translation.
no code implementations • 21 Jul 2022 • Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu
Recent research has shown the effectiveness of mmWave radar sensing for object detection in low visibility environments, which makes it an ideal technique in autonomous navigation systems.
no code implementations • 13 Mar 2022 • Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Yong Xiao, Honggang Zhang
Semantic communication has witnessed a great progress with the development of natural language processing (NLP) and deep learning (DL).
no code implementations • 30 Jan 2022 • Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
The paper considers independent reinforcement learning (IRL) for multi-agent decision-making process in the paradigm of federated learning (FL).
no code implementations • 18 Jan 2022 • Luya Wang, Feng Liang, Yangguang Li, Honggang Zhang, Wanli Ouyang, Jing Shao
Recently, self-supervised vision transformers have attracted unprecedented attention for their impressive representation learning ability.
1 code implementation • CVPR 2022 • Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song
Our key discovery lies in exploiting the magnitude (L2 norm) of a sketch feature as a quantitative quality metric.
no code implementations • 16 Oct 2021 • Kun Lu, Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jianjun Wu, Honggang Zhang
Modern communications are usually designed to pursue a higher bit-level precision and fewer bits while transmitting a message.
no code implementations • 19 Sep 2021 • Yue Sun, Honggang Zhang, Zhuoming Huang, Benyuan Liu
Built on our recent proposed 3DRIMR (3D Reconstruction and Imaging via mmWave Radar), we introduce in this paper DeepPoint, a deep learning model that generates 3D objects in point cloud format that significantly outperforms the original 3DRIMR design.
1 code implementation • 27 Aug 2021 • Kun Lu, Rongpeng Li, Xianfu Chen, Zhifeng Zhao, Honggang Zhang
We introduce a new semantic communication mechanism - SemanticRL, whose key idea is to preserve the semantic information instead of strictly securing the bit-level precision.
no code implementations • 20 Aug 2021 • Qingyang Zhou, Rongpeng Li, Zhifeng Zhao, Chenghui Peng, Honggang Zhang
With the development of deep learning (DL), natural language processing (NLP) makes it possible for us to analyze and understand a large amount of language texts.
no code implementations • 5 Aug 2021 • Yue Sun, Zhuoming Huang, Honggang Zhang, Zhi Cao, Deqiang Xu
In this paper we propose 3D Reconstruction and Imaging via mmWave Radar (3DRIMR), a deep learning based architecture that reconstructs 3D shape of an object in dense detailed point cloud format, based on sparse raw mmWave radar intensity data.
no code implementations • 24 Mar 2021 • Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
The paper considers independent reinforcement learning (IRL) for multi-agent collaborative decision-making in the paradigm of federated learning (FL).
no code implementations • ICCV 2021 • Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song
The superiority of explicitly abstracting sketch representation is empirically validated on a number of sketch analysis tasks, including sketch recognition, fine-grained sketch-based image retrieval, and generative sketch healing.
no code implementations • ICCV 2021 • Yang Tang, Wangding Zeng, Dafei Zhao, Honggang Zhang
Experimental results on the two popular AU detection datasets BP4D and DISFA prove that PIAP-DF can be the new state-of-the-art method.
1 code implementation • 12 Nov 2020 • Yue Zhong, Yulia Gryaditskaya, Honggang Zhang, Yi-Zhe Song
Deep image-based modeling received lots of attention in recent years, yet the parallel problem of sketch-based modeling has only been briefly studied, often as a potential application.
no code implementations • 15 Jul 2020 • Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji
Using the proposed deep RL scheme, each MU in the system is able to make decisions without a priori statistical knowledge of dynamics.
1 code implementation • 3 Jul 2020 • Shibo Shen, Rongpeng Li, Zhifeng Zhao, Honggang Zhang, Yugeng Zhou
In this paper, we propose a novel network training mechanism called "dynamic channel propagation" to prune the neural networks during the training period.
no code implementations • 2 Jun 2020 • Tianming Du, Honggang Zhang, Yuemeng Li, Hee Kwon Song, Yong Fan
Deep learning in k-space has demonstrated great potential for image reconstruction from undersampled k-space data in fast magnetic resonance imaging (MRI).
no code implementations • 26 Mar 2020 • Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang
The first one is that our dataset is not fully labeled, i. e., only a subset of all lesion instances are marked.
no code implementations • IEEE Access 2019 • Junjian Zhang, Chun-Guang Li, Tianming Du, Honggang Zhang, Jun Guo
Standard methods of subspace clustering are based on self-expressiveness in the original data space, which states that a data point in a subspace can be expressed as a linear combination of other points.
no code implementations • 28 Nov 2019 • Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
With the rapid evolution of wireless mobile devices, there emerges an increased need to design effective collaboration mechanisms between intelligent agents, so as to gradually approach the final collective objective through continuously learning from the environment based on their individual observations.
no code implementations • 26 Aug 2019 • Zhi Cao, Honggang Zhang, Yu Cao, Benyuan Liu
We are interested in the optimal scheduling of a collection of multi-component application jobs in an edge computing system that consists of geo-distributed edge computing nodes connected through a wide area network.
no code implementations • 6 Aug 2019 • Xianfu Chen, Celimuge Wu, Tao Chen, Honggang Zhang, Zhi Liu, Yan Zhang, Mehdi Bennis
In this paper, we investigate the problem of age of information (AoI)-aware radio resource management for expected long-term performance optimization in a Manhattan grid vehicle-to-vehicle network.
no code implementations • 10 Jun 2019 • Chen Qi, Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
Furthermore, as DPGD only works in continuous action space, we embed a k-nearest neighbor algorithm into DQL to quickly find a valid action in the discrete space nearest to the DPGD output.
no code implementations • 3 Jun 2019 • Xianfu Chen, Celimuge Wu, Honggang Zhang, Yan Zhang, Mehdi Bennis, Heli Vuojala
To simplify the decision-making process, we first decompose the MDP into a series of per-VUE-pair MDPs.
no code implementations • 10 May 2019 • Yuxiu Hua, Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Honggang Zhang
Moreover, we further develop Dueling GAN-DDQN, which uses a specially designed dueling generator, to learn the action-value distribution by estimating the state-value distribution and the action advantage function.
Distributional Reinforcement Learning Generative Adversarial Network +3
no code implementations • CVPR 2019 • Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
However, the applicability of subspace clustering has been limited because practical visual data in raw form do not necessarily lie in such linear subspaces.
Ranked #2 on Image Clustering on Extended Yale-B
no code implementations • 26 Apr 2019 • Rongpeng Li, Zhifeng Zhao, Xing Xu, Fei Ni, Honggang Zhang
Afterwards, we highlight the potential huge impact of CI on both communications and intelligence.
no code implementations • 1 Mar 2019 • Anna Dai, Zhifeng Zhao, Honggang Zhang, Rongpeng Li, Yugeng Zhou
Collective intelligence is manifested when multiple agents coherently work in observation, interaction, decision-making and action.
no code implementations • 20 Nov 2018 • Xing Hsu, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
Stigmergy has proved its great superiority in terms of distributed control, robustness and adaptability, thus being regarded as an ideal solution for large-scale swarm control problems.
no code implementations • 24 Oct 2018 • Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang
Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values.
no code implementations • NeurIPS 2018 • Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang
Visual attention, derived from cognitive neuroscience, facilitates human perception on the most pertinent subset of the sensory data.
no code implementations • ECCV 2018 • Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
In this work we aim to develop a universal sketch grouper.
1 code implementation • 7 Aug 2018 • Ke Li, Kaiyue Pang, Jifei Song, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Honggang Zhang
In this work we aim to develop a universal sketch grouper.
no code implementations • 7 Jun 2018 • Jiaqi Li, Zhifeng Zhao, Rongpeng Li, Honggang Zhang
Software Defined Internet of Things (SD-IoT) Networks profits from centralized management and interactive resource sharing which enhances the efficiency and scalability of IoT applications.
no code implementations • 17 May 2018 • Rongpeng Li, Zhifeng Zhao, Qi Sun, Chi-Lin I, Chenyang Yang, Xianfu Chen, MinJian Zhao, Honggang Zhang
Network slicing is born as an emerging business to operators, by allowing them to sell the customized slices to various tenants at different prices.
no code implementations • 16 May 2018 • Xianfu Chen, Honggang Zhang, Celimuge Wu, Shiwen Mao, Yusheng Ji, Mehdi Bennis
To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is a promising paradigm by providing computing capabilities in close proximity within a sliced radio access network (RAN), which supports both traditional communication and MEC services.
no code implementations • CVPR 2018 • Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang
Typical person re-identification (ReID) methods usually describe each pedestrian with a single feature vector and match them in a task-specific metric space.
no code implementations • 8 Nov 2017 • Yuxiu Hua, Zhifeng Zhao, Rongpeng Li, Xianfu Chen, Zhiming Liu, Honggang Zhang
So, the RCLSTM, with certain intrinsic sparsity, have many neural connections absent (distinguished from the full connectivity) and which leads to the reduction of the parameters to be trained and the computational cost.
21 code implementations • CVPR 2017 • Fei Wang, Mengqing Jiang, Chen Qian, Shuo Yang, Cheng Li, Honggang Zhang, Xiaogang Wang, Xiaoou Tang
In this work, we propose "Residual Attention Network", a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in an end-to-end training fashion.
Ranked #639 on Image Classification on ImageNet
no code implementations • 15 Jun 2016 • Rongpeng Li, Zhifeng Zhao, Jianchao Zheng, Chengli Mei, Yueming Cai, Honggang Zhang
Afterwards, with the aid of the traffic "big data", we make a comprehensive study over the modeling and prediction framework of cellular network traffic.
2 code implementations • CVPR 2016 • Kaili Zhao, Wen-Sheng Chu, Honggang Zhang
Region learning (RL) and multi-label learning (ML) have recently attracted increasing attentions in the field of facial Action Unit (AU) detection.
Ranked #6 on Facial Action Unit Detection on DISFA
no code implementations • ICCV 2015 • Chun-Guang Li, Zhouchen Lin, Honggang Zhang, Jun Guo
State of the art approaches for Semi-Supervised Learning (SSL) usually follow a two-stage framework -- constructing an affinity matrix from the data and then propagating the partial labels on this affinity matrix to infer those unknown labels.
no code implementations • CVPR 2015 • Kaili Zhao, Wen-Sheng Chu, Fernando de la Torre, Jeffrey F. Cohn, Honggang Zhang
The most commonly used taxonomy to describe facial behaviour is the Facial Action Coding System (FACS).
no code implementations • CVPR 2015 • Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li, Jun Guo
We propose a perceptual grouping framework that organizes image edges into meaningful structures and demonstrate its usefulness on various computer vision tasks.
no code implementations • 9 May 2014 • Le Li, Jianjun Yang, Kaili Zhao, Yang Xu, Honggang Zhang, Zhuoyi Fan
Non-negative matrix factorization (NMF) has proved effective in many clustering and classification tasks.
no code implementations • 21 Nov 2013 • Yuzhu Zhou, Le Li, Honggang Zhang
In this paper, we present a region-based pLSA model to accomplish the task of total scene annotation.
no code implementations • 28 Nov 2012 • Rongpeng Li, Zhifeng Zhao, Xianfu Chen, Jacques Palicot, Honggang Zhang
Recent works have validated the possibility of improving energy efficiency in radio access networks (RANs), achieved by dynamically turning on/off some base stations (BSs).