Jiawen Liu

According to our database, Jiawen Liu authored at least 70 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Sample feature enhancement model based on heterogeneous graph representation learning for few-shot relation classification.

Zhezhe Xing, Yuxin Ye, Rui Song, Yun Teng, Ziheng Li, Jiawen Liu

Inf. Sci., 2025

2024

Sub-6G Aided Millimeter Wave Hybrid Beamforming: A Two-Stage Deep Learning Framework With Statistical Channel Information.

Siting Lv, Xiaohui Li, Jiawen Liu, Mingli Shi

IEEE Trans. Green Commun. Netw., September, 2024

Constant Modulus Waveform Design for RIS-Aided ISAC System.

Mingli Shi, Xiaohui Li, Jiawen Liu, Siting Lv

IEEE Trans. Veh. Technol., June, 2024

Multimodal Fusion Assisted Mmwave Beam Training in Dual-Model Networks.

Jiawen Liu, Xiaohui Li, Tao Fan, Siting Lv, Mingli Shi

IEEE Trans. Veh. Technol., January, 2024

Remote Sensing-Based Analysis of Urban Heat Island Driving Factors: A Local Climate Zone Perspective.

Zhi Qiao, Ruoyu Jia, Jiawen Liu, Huan Gao, Qikun Wei

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Program Analysis for Adaptive Data Analysis.

Jiawen Liu, Weihao Qu, Marco Gaboardi, Deepak Garg, Jonathan R. Ullman

Proc. ACM Program. Lang., 2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

Understanding Open Source Contributor Profiles in Popular Machine Learning Libraries.

Jiawen Liu, Haoxiang Zhang, Ying Zou

CoRR, 2024

Channel Tracking with Minimal Overhead for Wideband MIMO Mobile Communication Systems.

Siting Lv, Xiaohui Li, Xingbo Chen, Jiawen Liu, Mingli Shi

Proceedings of the 99th IEEE Vehicular Technology Conference, 2024

SFERNet: Student Facial Expression Recognition Using Superpixel-Assisted Global Semantic Enhancement and Fine-Grained Features.

Yan Rong, Jiawen Liu, Xinlei Li

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

PeerGPT: Probing the Roles of LLM-based Peer Agents as Team Moderators and Participants in Children's Collaborative Learning.

Jiawen Liu, Yuanyuan Yao, Pengcheng An, Qi Wang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

LGDCloudSim: A Resource Management Simulation System for Large-Scale Geographically Distributed Cloud Data Center Scenarios.

Jiawen Liu, Yuehao Xu, Binbin Feng, Zhijun Ding

Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023

Hybrid variable neighborhood search for automated warehouse scheduling.

Ivan A. Davydov, Yury Kochetov, Daniil Tolstykh, Xialiang Tong, Jiawen Liu

Optim. Lett., December, 2023

The Impact of Mobile-Assisted Social Language Learning Activities on Speaking Skills and Self-Efficacy Development.

Rustam Shadiev, Jiawen Liu, Pei-Yu Cheng

IEEE Trans. Learn. Technol., October, 2023

Collaborative Management of Resource Allocation and Precoding for Dual-Mode Networks.

Jiawen Liu, Xiaohui Li, Tao Fan, Siting Lv, Mingli Shi

IEEE Trans. Veh. Technol., August, 2023

Multimodality MRI synchronous construction based deep learning framework for MRI-guided radiotherapy synthetic CT generation.

Xuanru Zhou, Wenwen Cai, Jiajun Cai, Fan Xiao, Mengke Qi, Jiawen Liu, Linghong Zhou, Yongbao Li, Ting Song

Comput. Biol. Medicine, August, 2023

Physics-Driven Deep Learning Inversion for Direct Current Resistivity Survey Data.

Bin Liu, Yonghao Pang, Peng Jiang, Zhengyu Liu, Benchao Liu, Yongheng Zhang, Yumei Cai, Jiawen Liu

IEEE Trans. Geosci. Remote. Sens., 2023

Adaptive multi-population artificial bee colony algorithm for wireless sensor network coverage optimisation.

Jiali Wu, Shuai Wang, Zichen Wei, Jiawen Liu, Hui Wang

Int. J. Wirel. Mob. Comput., 2023

Bilevel Scheduled Sampling for Dialogue Generation.

Jiawen Liu, Kan Li

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Indicators Directed Multi-strategy Artificial Bee Colony Algorithm.

Jiali Wu, Jingwu Wang, Wenjun Wang, Jiawen Liu, Hui Wang, Hai Zhang, Min Hu

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Artificial Bee Colony Based on Adaptive Search Strategies and Elite Selection Mechanism.

Jiawen Liu, Wenjun Wang, Jiali Wu, Hui Wang, Hai Zhang, Min Hu

Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

Bridge the Gap between Visual Difference Prediction Model and Just Noticeable Difference Subjective Datasets.

Jiawen Liu, Jingwen Zhu, Patrick Le Callet

Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Naturalistic Emotion Recognition Using EEG and Eye Movements.

Jian-Ming Zhang, Jiawen Liu, Ziyi Li, Tian-Fang Ma, Yiting Wang, Wei-Long Zheng, Bao-Liang Lu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

DAformer: Transformer with Domain Adversarial Adaptation for EEG-Based Emotion Recognition with Live-Oil Paintings.

Zhong-Wei Jin, Jiawen Liu, Wei-Long Zheng, Bao-Liang Lu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Product Appearance Design Guide for Innovative Products Based on Kansei Engineering.

Jiawen Liu, Zhijuan Zhu

Proceedings of the Design, User Experience, and Usability, 2023

Mobile Technology as a Catalyst for Enhancing EFL Speaking Skills in Social Language Learning Contexts.

Rustam Shadiev, Mirzaali Fayziev, Gulmira Abildinova, Jiawen Liu, Fahriye Altinay, Roza Zhussupova, Nurassyl Kerimbayev, Aynur Jumadillaeva, Elena Gaevskaia, Narzikul Shadiev

Proceedings of the IEEE Intl Conf on Dependable, 2023

PersLEARN: Research Training through the Lens of Perspective Cultivation.

Yu-Zhe Shi, Shiqian Li, Xinyi Niu, Qiao Xu, Jiawen Liu, Yifan Xu, Shiyu Gu, Bingru He, Xinyang Li, Xinyu Zhao, Zijian Zhao, Yidong Lyu, Zhen Li, Sijia Liu, Lin Qiu, Jinhao Ji, Lecheng Ruan, Yuxi Ma, Wenjuan Han, Yixin Zhu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Tensor Computation Based on Heterogeneous Memory

Jiawen Liu

PhD thesis, 2022

A Low Complexity Algorithm for Achievable Rate Maximization in mmWave Systems Aided by IRS.

Mingli Shi, Xiaohui Li, Tao Fan, Jiawen Liu, Siting Lv

IEEE Wirel. Commun. Lett., 2022

Deep Learning-Based Overhead Minimizing Hybrid Beamforming for Wideband mmWave Systems.

Siting Lv, Xiaohui Li, Tao Fan, Jiawen Liu, Mingli Shi

IEEE Wirel. Commun. Lett., 2022

Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search.

Ziru Wang, Jiawen Liu, Yongqiang Ma, Badong Chen, Nanning Zheng, Pengju Ren

IEEE Trans. Neural Networks Learn. Syst., 2022

Apple leaf disease recognition method with improved residual network.

Helong Yu, Xianhe Cheng, Chengcheng Chen, Ali Asghar Heidari, Jiawen Liu, Zhennao Cai, Huiling Chen

Multim. Tools Appl., 2022

Information technology and performance: Integrating data envelopment analysis and configurational approach.

Jiawen Liu, Yeming Gong, Joe Zhu, Ryad Titah

J. Oper. Res. Soc., 2022

Performance optimization of annealing salp swarm algorithm: frameworks and applications for engineering design.

Jiuman Song, Chengcheng Chen, Ali Asghar Heidari, Jiawen Liu, Helong Yu, Huiling Chen

J. Comput. Des. Eng., 2022

A two-stage many-objective evolutionary algorithm with dynamic generalized Pareto dominance.

Hui Wang, Zichen Wei, Gan Yu, Shuai Wang, Jiali Wu, Jiawen Liu

Int. J. Intell. Syst., 2022

Multiuser beamforming optimization for IRS-aided systems with discrete phase shifts.

Mingli Shi, Xiaohui Li, Tao Fan, Jiawen Liu, Siting Lv

IET Commun., 2022

ALNN-based LOS/NLOS identification in 3D millimetre wave channel.

Siting Lv, Xiaohui Li, Tao Fan, Jiawen Liu

IET Commun., 2022

Hybrid beamforming with impaired elements: Design of optimized beam pattern.

Jiawen Liu, Xiaohui Li, Tao Fan, Siting Lv, Mingli Shi

IET Commun., 2022

Model-Driven Deep Learning Assisted Beam Tracking for Millimeter-Wave Systems.

Jiawen Liu, Xiaohui Li, Tao Fan, Siting Lv, Mingli Shi

IEEE Commun. Lett., 2022

Adaptive Antenna Diagnosis Based on Clustering Block Sparse Bayesian Learning.

Jiawen Liu, Xiaohui Li, Tao Fan, Siting Lv, Mingli Shi

IEEE Commun. Lett., 2022

Image segmentation of Leaf Spot Diseases on Maize using multi-stage Cauchy-enabled grey wolf algorithm.

Helong Yu, Jiuman Song, Chengcheng Chen, Ali Asghar Heidari, Jiawen Liu, Huiling Chen, Atef Zaguia, Majdi M. Mafarja

Eng. Appl. Artif. Intell., 2022

Optimized deep residual network system for diagnosing tomato pests.

Helong Yu, Jiawen Liu, Chengcheng Chen, Ali Asghar Heidari, Qian Zhang, Huiling Chen

Comput. Electron. Agric., 2022

Many-Objective Evolutionary Algorithm Based on Dominance and Objective Space Decomposition.

Zichen Wei, Hui Wang, Tingyu Ye, Shuai Wang, Jiali Wu, Jiawen Liu, Hai Zhang

Proceedings of the Neural Computing for Advanced Applications, 2022

Many-Objective Artificial Bee Colony Algorithm Based on Decomposition and Dimension Learning.

Shuai Wang, Hui Wang, Zichen Wei, Jiali Wu, Jiawen Liu, Hai Zhang

Proceedings of the Neural Computing for Advanced Applications, 2022

Lower-limb Coordination Varies with Steps During Gait Initiation.

Rui Xu, Jiawen Liu, Shizhong Liu, Ziyao Wang, Lin Meng, Dong Ming

Proceedings of the 9th International Conference on Biomedical and Bioinformatics Engineering, 2022

Effect of Increasing Cadence on Knee Joint Load in Patients with Medial Compartment Knee Osteoarthritis: A Pilot Observational Study.

Shizhong Liu, Ziyao Wang, Jingwen Chen, Jun Liang, Jiawen Liu, Yuan Liu, Rui Xu, Dong Ming

Proceedings of the 9th International Conference on Biomedical and Bioinformatics Engineering, 2022

Adopting Learning-to-rank Algorithm for Reviewer Recommendation.

Guoliang Zhao, Jiawen Liu, Daniel Alencar da Costa, Ying Zou

Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

Height Localization of Micropipette in Zebrafish Embryo Penetration Based on Force Sensor.

Sijia Li, Rongxin Liu, Jiawen Liu, Yize Ma, Xinyi Li, Mingzhu Sun

Proceedings of the 7th Asia-Pacific Conference on Intelligent Robot Systems, 2022

2021

Corn Leaf Diseases Diagnosis Based on K-Means Clustering and Deep Learning.

Helong Yu, Jiawen Liu, Chengcheng Chen, Ali Asghar Heidari, Qian Zhang, Huiling Chen, Majdi M. Mafarja, Hamza Turabieh

IEEE Access, 2021

Distributed Collaborative Anomaly Detection for Trusted Digital Twin Vehicular Edge Networks.

Jiawen Liu, Shuaipeng Zhang, Hong Liu, Yan Zhang

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Generative Adversarial Scheme Based GNSS Spoofing Detection for Digital Twin Vehicular Networks.

Hong Liu, Jun Tu, Jiawen Liu, Zhenxue Zhao, Ruikang Zhou

Proceedings of the Wireless Algorithms, Systems, and Applications, 2021

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory.

Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors.

Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Athena: high-performance sparse tensor contraction sequence on heterogeneous memory.

Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators.

Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li

Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Markov Approximation Based Resource Allocation Algorithm for Multi - Frequency Cooperative Networks.

Xiaohui Li, Tao Fan, Jiawen Liu, Mingli Shi, Siting Lv

Proceedings of the 21st International Conference on Communication Technology, 2021

Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU.

Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

Fast, flexible, and comprehensive bug detection for persistent memory programs.

Bang Di, Jiawen Liu, Hao Chen, Dong Li

Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020

FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors.

Jie Liu, Jiawen Liu, Zhen Xie, Dong Li

CoRR, 2020

RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices.

Jiawen Liu, Zhen Xie, Dimitrios S. Nikolopoulos, Dong Li

Proceedings of the 2020 USENIX Conference on Operational Machine Learning, 2020

2019

When to increase firms' sustainable operations for efficiency? A data envelopment analysis in the retailing industry.

Yeming Gong, Jiawen Liu, Joe Zhu

Eur. J. Oper. Res., 2019

Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2.

Jie Liu, Jiawen Liu, Wan Du, Dong Li

CoRR, 2019

An integrated data analysis of configurations of supply chain integration.

Jiawen Liu, Jinlong Zhang, Yeming Gong

Clust. Comput., 2019

Millimeter Wave Channel Estimation Based on Clustering Block Sparse Bayesian Learning.

Jiawen Liu, Xiaohui Li, Kun Fang, Tao Fan

Proceedings of the 11th International Conference on Wireless Communications and Signal Processing, 2019

Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training.

Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device.

Jie Liu, Jiawen Liu, Wan Du, Dong Li

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

2018

Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach.

Jiawen Liu, Hengyu Zhao, Matheus A. Ogleari, Dong Li, Jishen Zhao

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

2017

Pricing Privacy Leakage in Location-Based Services.

Fenghua Li, Jiawen Liu, Liang Fang, Ben Niu, Kui Geng, Hui Li

Proceedings of the Wireless Algorithms, Systems, and Applications, 2017

HOMP: Automated Distribution of Parallel Loops and Data in Highly Parallel Accelerator-Based Systems.

Yonghong Yan, Jiawen Liu, Kirk W. Cameron, Mariam Umar

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017

Comparison of Threading Programming Models.

Solmaz Salehian, Jiawen Liu, Yonghong Yan

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017