125 citations · 228 across the 19 of their papers we have counts for
19 papers
DRL4Route: A Deep Reinforcement Learning Framework for Pick-up and Delivery Route Prediction
Xiaowei Mao, Haomin Wen, Hengrui Zhang +5
Pick-up and Delivery Route Prediction (PDRP), which aims to estimate the future service route of a worker given his current task pool, has received rising attention in recent years…
Origin-Destination Travel Time Oracle for Map-based Services
Yan Lin, Huaiyu Wan, Jilin Hu +4
Given an origin (O), a destination (D), and a departure time (T), an Origin-Destination (OD) travel time oracle~(ODT-Oracle) returns an estimate of the time it takes to travel from…
LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry
Lixia Wu, Haomin Wen, Haoyuan Hu +10
Real-world last-mile delivery datasets are crucial for research in logistics, supply chain management, and spatio-temporal data mining. Despite a plethora of algorithms developed t…
Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Peng Cheng, Xianyuan Zhan, Zhihao Wu +5
Offline reinforcement learning (RL) offers an appealing approach to real-world tasks by learning policies from pre-collected datasets without interacting with the environment. Howe…
View Adaptive Light Field Deblurring Networks with Depth Perception
Zeqi Shen, Shuo Zhang, Zhuhao Zhang +3
The Light Field (LF) deblurring task is a challenging problem as the blur images are caused by different reasons like the camera shake and the object motion. The single image deblu…
DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models
Haomin Wen, Youfang Lin, Yutong Xia +4
Spatio-temporal graph neural networks (STGNN) have emerged as the dominant model for spatio-temporal graph (STG) forecasting. Despite their success, they fail to model intrinsic un…
Light Field Raindrop Removal via 4D Re-sampling
Dong Jing, Shuo Zhang, Song Chang +1
The Light Field Raindrop Removal (LFRR) aims to restore the background areas obscured by raindrops in the Light Field (LF). Compared with single image, the LF provides more abundan…
Conservative Distributional Reinforcement Learning with Safety Constraints
Hengrui Zhang, Youfang Lin, Sheng Han +2
Safety exploration can be regarded as a constrained Markov decision problem where the expected long-term cost is constrained. Previous off-policy algorithms convert the constrained…
Agent-Centric Relation Graph for Object Visual Navigation
Xiaobo Hu, Youfang Lin, Shuo Wang +2
Object visual navigation aims to steer an agent toward a target object based on visual observations. It is highly desirable to reasonably perceive the environment and accurately co…
SleepPriorCL: Contrastive Representation Learning with Prior Knowledge-based Positive Mining and Adaptive Temperature for Sleep Staging
Hongjun Zhang, Jing Wang, Qinfeng Xiao +2
The objective of this paper is to learn semantic representations for sleep stage classification from raw physiological time series. Although supervised methods have gained remarkab…
Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification
Ziyu Jia, Youfang Lin, Jing Wang +5
Sleep stage classification is essential for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performanc…
HetEmotionNet: Two-Stream Heterogeneous Graph Recurrent Neural Network for Multi-modal Emotion Recognition
Ziyu Jia, Youfang Lin, Jing Wang +3
The research on human emotion under multimedia stimulation based on physiological signals is an emerging field, and important progress has been achieved for emotion recognition bas…
SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
Ziyu Jia, Youfang Lin, Jing Wang +3
Sleep staging is fundamental for sleep assessment and disease diagnosis. Although previous attempts to classify sleep stages have achieved high classification performance, several…
Multi-Dimension Fusion Network for Light Field Spatial Super-Resolution using Dynamic Filters
Qingyan Sun, Shuo Zhang, Song Chang +2
Light field cameras have been proved to be powerful tools for 3D reconstruction and virtual reality applications. However, the limited resolution of light field images brings a lot…
Detecting causality in multivariate time series via non-uniform embedding
Ziyu Jia, Youfang Lin, Zehui Jiao +2
Causal analysis based on non-uniform embedding schemes is an important way to detect the underlying interactions between dynamic systems. However, there are still some obstacles to…
Improving local clustering based top-L link prediction methods via asymmetrical link clustering information
Zhihao Wu, Youfang Lin, Yiji Zhao +1
Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analy…
Link Prediction with Node Clustering Coefficient
Zhihao Wu, Youfang Lin, Jing Wang +1
Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows t…
A parameter free similarity index based on clustering ability for link prediction in complex networks
Zhihao Wu, Youfang Lin, Yao Zhao
Link prediction in complex network based on solely topological information is a challenging problem. In this paper, we propose a novel similarity index, which is efficient and para…
Inferring High Quality Co-Travel Networks
Youfang Lin, Xuguang Jia, Mingjie Lin +3
Social networks provide a new perspective for enterprises to better understand their customers and have attracted substantial attention in industry. However, inferring high quality…