Wenjun Lyu

Ph.D. Candidate, Rutgers University

Selected Conference Publications

2024

[IWQOS’24] SGC: Similarity-Guided Gradient Compression for Distributed Deep Learning
Jingling Liu, Jiawei Huang, Yijun Li, Zhaoyi Li, Wenjun Lyu, Wenchao Jiang, Jianxin Wang

2023

[ICA3PP’23] CAST: An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training
Weihe Li, Jiawei Huang, Yu Liang, Jingling Liu, Wenlu Zhang, Wenjun Lyu, Jianxin Wang
Best Student Paper

[CIKM’23] Urban-scale POI Updating with Crowd Intelligence
Zhiqing Hong, Haotian Wang, Wenjun Lyu, Hai Wang, Yunhuai Liu, Guang Wang, Tian He, Desheng Zhang

[CIKM’23] RLIFE: Remaining Lifespan Prediction for E-scooters
Shuxin Zhong, William Yubeaton, Wenjun Lyu, Guang Wang, Desheng Zhang, Yu Yang

[IJCAI’23] A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics
Wenjun Lyu, Haotian Wang , Yiwei Song, Yunhuai Liu, Tian He, Desheng Zhang

[ICDE’23] REDE: Exploring Relay Transportation for Efficient Last-mile Delivery
Wenjun Lyu, Haotian Wang, Zhiqing Hong, Guang Wang, Yu Yang, Yunhuai Liu, Desheng Zhang

2022

[CIKM’22] Towards Fair Workload Assessment via Homogeneous Order Grouping in Last-mile Delivery
Wenjun Lyu, Kexin Zhang, Baoshen Guo, Zhiqing Hong, Guang Yang, Guang Wang, Yu Yang, Yunhuai Liu and Desheng Zhang

[Ubicomp’22] WePos: Weak-supervised Indoor Positioning with Unlabeled WiFi for On-demand Delivery
Baoshen Guo, Weijian Zuo, Shuai Wang, Wenjun Lyu, Zhiqing Hong, Yi Ding, Tian He, Desheng Zhang

[ICDCS’22] BikeCAP: Deep Spatial-temporal Capsule Network for Multi-step Bike Demand Prediction
Shuxin Zhong, Wenjun Lyu, Yu Yang, Desheng Zhang

[SIGSPATIAL’22] CoMiner: nationwide behavior-driven unsupervised spatial coordinate mining from uncertain delivery events
Zhiqing Hong, Guang Wang, Wenjun Lyu, Baoshen Guo, Yi Ding, Haotian Wang, Shuai Wang, Yunhuai Liu, Desheng Zhang

[SIGSPATIAL’22] FastAddr: real-time abnormal address detection via contrastive augmentation for location-based services
Zhiqing Hong, Heng Yang, Haotian Wang, Wenjun Lyu, Yu Yang, Guang Wang, Yunhuai Liu, Yang Wang, Desheng Zhang

2021

[Ubicomp’21] Mover: Generalizability Verification of Human Mobility Models via Heterogeneous Use Cases
Wenjun Lyu, Guang Wang, Yu Yang, Desheng Zhang

[ICDCS’21] Mitigating Port Starvation for Shallow-buffered Switches in Datacenter Networks
Wenjun Lyu, Jiawei Huang, Jingling Liu, Zhaoyi Li, Shaojun Zou, Weihe Li, Jianxin Wang, Desheng Zhang

2019

[ICPP’19] TLB: Traffic-aware Load Balancing with Adaptive Granularity in Data Center Networks
Jinbin Hu, Jiawei Huang, Wenjun Lyu, Weihe Li, Jianxin Wang, Tian He
Best Paper Candidate

2018

[ICNP’18] QDAPS: Queueing Delay Aware Packet Spraying for Load Balancing in Data Center
Jiawei Huang, Wenjun Lyu, Weihe Li, Jianxin Wang, Tian He

[INFOCOM’18] CAPS: Coding-based Adaptive Packet Spraying to Reduce Flow Completion Time in Data Center
Jinbin Hu, Jiawei Huang, Wenjun Lyu, Yutao Zhou, Jianxin Wang, Tian He

Selected Journal Publications

[TCC’24] Cyclic Matrix Coding to Mitigate ACK Blocking of MPTCP in Data Center Networks
Zhaoyi Li, Jiawei Huang, Shiqi Wang, Wenjun Lyu, Jianxin Wang

[TOSN’23] OPTI: Order Preparation Time Inference for On-demand Delivery
Zhigang Dai, Wenjun Lyu, Yi Ding, Yiwei Song, Yunhuai Liu

[TCC’22] APS: Adaptive Packet Spraying to Isolate Mix-Flows in Data Center Network
Jingling Liu, Jiawei Huang, Wenjun Lyu, Jianxin Wang

[TON’21] Mitigating Packet Reordering for Random Packet Spraying in Data Center Networks
Jiawei Huang, Wenjun Lyu, Weihe Li, Jianxin Wang, Tian He

[TON’21] Adjusting Switching Granularity of Load Balancing for Heterogeneous Datacenter Traffic
Jinbin Hu, Jiawei Huang, Wenjun Lyu, Weihe Li, Zhaoyi Li, Wenchao Jiang, Jianxin Wang, Tian He

[TON’19] CAPS: Coding-Based Adaptive Packet Spraying to Reduce Flow Completion Time in Data Center
Jinbin Hu, Jiawei Huang, Wenjun Lyu, Yutao Zhou, Jianxin Wang, Tian He