224 citations · 1.7k across the 40 of their papers we have counts for
41 papers
Carbon emissions and sustainability of launching 5G mobile networks in China
Tong Li, Li Yu, Yibo Ma +6
Since 2021, China has deployed more than 2.1 million 5G base stations to increase the network capacity and provide ubiquitous digital connectivity for mobile terminals. However, th…
Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity
Lin Chen, Fengli Xu, Zhenyu Han +4
Balancing social utility and equity in distributing limited vaccines represents a critical policy concern for protecting against the prolonged COVID-19 pandemic. What is the nature…
DGCN: Diversified Recommendation with Graph Convolutional Networks
Yu Zheng, Chen Gao, Liang Chen +2
These years much effort has been devoted to improving the accuracy or relevance of the recommendation system. Diversity, a crucial factor which measures the dissimilarity among the…
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
Zhenyu Han, Fengli Xu, Jinghan Shi +4
In the past decade, the heterogeneous information network (HIN) has become an important methodology for modern recommender systems. To fully leverage its power, manually designed n…
Policy-Aware Mobility Model Explains the Growth of COVID-19 in Cities
Zhenyu Han, Fengli Xu, Yong Li +4
With the continued spread of coronavirus, the task of forecasting distinctive COVID-19 growth curves in different cities, which remain inadequately explained by standard epidemiolo…
Group-Buying Recommendation for Social E-Commerce
Jun Zhang, Chen Gao, Depeng Jin +1
Group buying, as an emerging form of purchase in social e-commerce websites, such as Pinduoduo, has recently achieved great success. In this new business model, users, initiator, c…
You Recommend, I Buy: How and Why People Engage in Instant Messaging Based Social Commerce
Hancheng Cao, Zhilong Chen, Mengjie Cheng +3
As an emerging business phenomenon especially in China, instant messaging (IM) based social commerce is growing increasingly popular, attracting hundreds of millions of users and i…
Understanding the Role of Intermediaries in Online Social E-commerce: An Exploratory Study of Beidian
Zhilong Chen, Hancheng Cao, Fengli Xu +3
Social e-commerce, as a new form of social computing based marketing platforms, utilizes existing real-world social relationships for promotions and sales of products. It has been…
Learning from Home: A Mixed-Methods Analysis of Live Streaming Based Remote Education Experience in Chinese Colleges During the COVID-19 Pandemic
Zhilong Chen, Hancheng Cao, Yuting Deng +5
The COVID-19 global pandemic and resulted lockdown policies have forced education in nearly every country to switch from a traditional co-located paradigm to a pure online 'distanc…
DeepNetQoE: Self-adaptive QoE Optimization Framework of Deep Networks
Rui Wang, Min Chen, Nadra Guizani +3
Future advances in deep learning and its impact on the development of artificial intelligence (AI) in all fields depends heavily on data size and computational power. Sacrificing m…
Disentangling User Interest and Conformity for Recommendation with Causal Embedding
Yu Zheng, Chen Gao, Xiang Li +3
Recommendation models are usually trained on observational interaction data. However, observational interaction data could result from users' conformity towards popular items, whic…
Bundle Recommendation with Graph Convolutional Networks
Jianxin Chang, Chen Gao, Xiangnan He +2
Bundle recommendation aims to recommend a bundle of items for a user to consume as a whole. Existing solutions integrate user-item interaction modeling into bundle recommendation b…
Urban Anomaly Analytics: Description, Detection, and Prediction
Mingyang Zhang, Tong Li, Yue Yu +3
Urban anomalies may result in loss of life or property if not handled properly. Automatically alerting anomalies in their early stage or even predicting anomalies before happening…
Price-aware Recommendation with Graph Convolutional Networks
Yu Zheng, Chen Gao, Xiangnan He +2
In recent years, much research effort on recommendation has been devoted to mining user behaviors, i.e., collaborative filtering, along with the general information which describes…
Edge Intelligence: Architectures, Challenges, and Applications
Dianlei Xu, Tong Li, Yong Li +5
Edge intelligence refers to a set of connected systems and devices for data collection, caching, processing, and analysis in locations close to where data is captured based on arti…
Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection
Xiang Zhang, Lina Yao, Manqing Dong +3
Objective: Epilepsy is a chronic neurological disorder characterized by the occurrence of spontaneous seizures, which affects about one percent of the world's population. Most of t…
When Your Friends Become Sellers: An Empirical Study of Social Commerce Site Beidian
Hancheng Cao, Zhilong Chen, Fengli Xu +4
Past few years have witnessed the emergence and phenomenal success of strong-tie based social commerce. Embedded in social networking sites, these E-Commerce platforms transform or…
LambdaOpt: Learn to Regularize Recommender Models in Finer Levels
Yihong Chen, Bei Chen, Xiangnan He +4
Recommendation models mainly deal with categorical variables, such as user/item ID and attributes. Besides the high-cardinality issue, the interactions among such categorical varia…
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang +6
Increasingly available city data and advanced learning techniques have empowered people to improve the efficiency of our city functions. Among them, improving the urban transportat…
Coalition Formation Games Based Sub-Channel Allocation for Device-to-Device Underlay mmWave Small Cells
Yong Niu, Han Shi, Yong Li +2
Small cells in the millimeter wave band densely deployed underlying the macrocell have been regarded as one of promising candidates for the next generation mobile networks. In the…
QoS-aware Full-duplex Concurrent Scheduling for Millimeter Wave Wireless Backhaul Networks
Weiguang Ding, Yong Niu, Hao Wu +2
The development of self-interference (SI) cancelation technology makes full-duplex (FD) communication possible. Considering the quality of service (QoS) of flows in small cells den…
Relay-Assisted and QoS Aware Scheduling to Overcome Blockage in mmWave Backhaul Networks
Yong Niu, Weiguang Ding, Hao Wu +4
In the scenario where small cells are densely deployed, the millimeter wave (mmWave) wireless backhaul network has been widely used. However, mmWave is easily blocked by obstacles,…
Device-to-Device Communications Enabled Multicast Scheduling with the Multi-Level Codebook in mmWave Small Cells
Yong Niu, Liren Yu, Yong Li +3
With the exponential growth of mobile data, there are increasing interests to deploy small cells in millimeter wave (mmWave) bands to underlay the conventional homogeneous macrocel…
Mobility-aware Caching Scheduling for Fog Computing in mmWave Band
Yong Niu, Yu Liu, Yong Li +3
As an extension of cloud computing, fog computing at the edge of networks provides low latency, location awareness, and real-time interactions. At the same time, millimeter wave (m…