Pseudo-handover based power and subchannel adaptation for two-tier femtocell networks. - Hongjia Li; Xiaodong Xu 001; Dan Hu; Xin Chen 019; Xiaofeng Tao; Ping Zhang 003 (WCNC, 2011)

Clustering strategy based on graph method and power control for frequency resource management in femtocell and macrocell overlaid system. - Hongjia Li; Xiaodong Xu 001; Dan Hu; Xiaofeng Tao; Ping Zhang 003; Song Ci; Hui Tang 001 (J. Commun. Networks, 2011)

Achievable energy efficiency in cooperative transmission system with frequency-selective power allocation. - Xin Chen 019; Xiaodong Xu 001; Hongjia Li; Xiaofeng Tao (GLOBECOM, 2012)

Prediction handover trigger scheme for reducing handover latency in two-tier Femtocell networks. - Hongjia Li; Song Ci; Zejue Wang (GLOBECOM, 2012)

Energy sustainability modeling and liquid cell management in green cellular networks. - Ying Xu; Hongjia Li; Zhiyong Feng 001; Ping Zhang 003; Song Ci (ICC, 2013)

Cross-layer design based sustainability and energy-efficiency optimization in femtocell networks with sustainable energy. - Ying Xu; Zhiyong Feng 001; Hongjia Li; Yuchi Zhang; Ping Zhang 003; Song Ci (WCNC, 2013)

Optimal joint transmission scheduling for green energy powered coordinated multi-point transmission system. - Zejue Wang; Hongjia Li; Xin Chen 019; Song Ci (GLOBECOM, 2014)

Stochastic queue modeling and key design metrics analysis for solar energy powered cellular networks. - Heng Wang 004; Hongjia Li; Zejue Wang; Xin Chen 019; Song Ci (ICNC, 2014)

Liquid cell management for reducing energy consumption expenses in hybrid energy powered cellular networks. - Heng Wang 004; Hongjia Li; Xin Chen 019; Yifang Qin; Lei Yang; Song Ci; Hui Tang 001 (WCNC, 2014)

Social Relation Based Cache Distribution Policy in Wireless Mobile Networks. - Lei Yang; Yifang Qin; Xu Zhou; Hongjia Li; Song Ci; Hui Tang 001 (J. Networks, 2014)

iCacheOS: In-RAN Caches Orchestration Strategy through Content Joint Wireless and Backhaul Routing in Small-Cell Networks. - Hongjia Li; Dan Hu; Song Ci (GLOBECOM, 2015)

Joint wireless and backhaul load balancing in cooperative caches enabled small-cell networks. - Hongjia Li; Zejue Wang; Dan Hu (PIMRC, 2015)

High-resolution cell breathing for improving energy efficiency of Ultra-Dense HetNets. - Hongjia Li; Dan Hu; Xin Chen 019; Song Ci (WCNC, 2015)

Optimal joint transmission and harvested energy scheduling for renewable energy harvesting enabled cellular network under coordinated multi-point transmission. - Zejue Wang; Hongjia Li; Dan Hu; Song Ci (EURASIP J. Wirel. Commun. Netw., 2015)

Modeling, metrics, and optimal design for solar energy-powered base station system. - Heng Wang 004; Hongjia Li; Chaowei Tang; Lingbao Ye; Xin Chen 019; Hui Tang 001; Song Ci (EURASIP J. Wirel. Commun. Netw., 2015)

Modeling and Transmission Optimization of Full-Duplex Energy Harvesting Enabled Hybrid Relaying. - Zejue Wang; Hongjia Li; Xueqing Huang; Song Ci (GLOBECOM, 2016)

Dynamic converter reconfiguration for near-threshold non-volatile processors using in-door energy harvesting. - Caiwen Ding; Hongjia Li; Jingtong Hu; Yongpan Liu; Yanzhi Wang (ICCD, 2016)

Luminescent solar concentrator-based photovoltaic reconfiguration for hybrid and plug-in electric vehicles. - Caiwen Ding; Hongjia Li; Weiwei Zheng; Yanzhi Wang; Naehyuck Chang; Xue Lin 001 (ICCD, 2016)

Adaptive relaying for full-duplex energy harvesting enabled cooperative communication in harsh environments. - Zejue Wang; Hongjia Li; Dan Wang; Liming Wang 001; Song Ci (MILCOM, 2016)

Performance and Implications of RAN Caching in LTE Mobile Networks: A Real Traffic Analysis. - Tao Lin 001; Hongjia Li; Haiyong Xie 001; Jiasi Chen; Huajun Cui; Guoqiang Zhang 004; Wei An; Yang Li 017 (SECON, 2016)

Mobility prediction based seamless RAN-cache handover in HetNet. - Hongjia Li; Dan Hu (WCNC, 2016)

Feasibility analysis and self-organizing algorithm for RAN cooperative caching. - Zejue Wang; Hongjia Li; Chang Yang (WCNC, 2016)

Cross-layer transmission and energy scheduling under full-duplex energy harvesting wireless OFDM joint transmission. - Hongjia Li; Zejue Wang; Dan Hu; Song Ci; Zhen Xu 009 (Sci. China Inf. Sci., 2016)

A Multi-queue Aggregation Framework for M2M Traffic in LTE-A and Beyond Networks. - Wen Feng; Hongjia Li; Ding Tang; Liming Wang 001; Zhen Xu 009 (5GWN, 2017)

A game theoretical framework for improving the quality of service in cooperative RAN caching. - Chang Yang; Hongjia Li; Liming Wang 001; Zhen Xu 009 (ICC, 2017)

A new framework for peer-to-peer energy sharing and coordination in the energy internet. - Yanglin Zhou; Song Ci; Hongjia Li; Yang Yang 001 (ICC, 2017)

Deep reinforcement learning: Framework, applications, and embedded implementations: Invited paper. - Hongjia Li; Tianshu Wei; Ao Ren; Qi Zhu 002; Yanzhi Wang (ICCAD, 2017)

Fast and energy-aware resource provisioning and task scheduling for cloud systems. - Hongjia Li; Ji Li 006; Wang Yao; Shahin Nazarian; Xue Lin 001; Yanzhi Wang (ISQED, 2017)

Ameliorate Half-Duplex Relaying via Cooperative Caching for Content Accessing. - Chang Yang; Hongjia Li (WCNC, 2017)

Real-world traffic analysis and joint caching and scheduling for in-RAN caching networks. - Zejue Wang; Hongjia Li; Zhen Xu 009 (Sci. China Inf. Sci., 2017)

Deep Reinforcement Learning: Framework, Applications, and Embedded Implementations. - Hongjia Li; Tianshu Wei; Ao Ren; Qi Zhu 002; Yanzhi Wang (CoRR, 2017)

Cooperative RAN Caching Based on Local Altruistic Game for Single and Joint Transmissions. - Hongjia Li; Chang Yang; Xueqing Huang; Nirwan Ansari; Zejue Wang (IEEE Commun. Lett., 2017)

FFT-based deep learning deployment in embedded systems. - Sheng Lin 001; Ning Liu 007; Mahdi Nazemi; Hongjia Li; Caiwen Ding; Yanzhi Wang; Massoud Pedram (DATE, 2018)

Distributed Energy Management of P2P Energy Sharing in Energy Internet Based on Cloud Energy Storage. - Yanglin Zhou; Song Ci; Ni Lin; Hongjia Li; Yang Yang 001 (e-Energy, 2018)

Designing Pricing Incentive Mechanism for Proactive Demand Response in Smart Grid. - Yanglin Zhou; Song Ci; Hongjia Li; Yang Yang 001 (ICC, 2018)

A New Digital Power Supply System for Fog and Edge Computing. - Song Ci; Ni Lin; Yanglin Zhou; Hongjia Li; Yang Yang 001 (IWCMC, 2018)

Online orchestration of cooperative defense against DDoS attacks for 5G MEC. - Hongjia Li; Liming Wang 001 (WCNC, 2018)

Exploring the behaviors and threats of pollution attack in cooperative MEC caching. - Chang Yang; Hongjia Li; Liming Wang 001; Ding Tang (WCNC, 2018)

Reconfigurable Photovoltaic Systems for Electric Vehicles. - Caiwen Ding; Hongjia Li; Weiwei Zheng; Yanzhi Wang; Xue Lin 001 (IEEE Des. Test, 2018)

Deep reinforcement learning: Algorithm, applications, and ultra-low-power implementation. - Hongjia Li; Ruizhe Cai; Ning Liu 007; Xue Lin 001; Yanzhi Wang (Nano Commun. Networks, 2018)

Transmission Adaptation for Battery-Free Relaying. - Zejue Wang; Hongjia Li; Dan Hu; Song Ci (ACM Trans. Embed. Comput. Syst., 2018)

Moving to Green Edges: A Cooperative MEC Framework to Reduce Energy Demand of Clouds. - Hongjia Li; Song Ci; Chang Yang; Xinrui Tan; Shiming Hou; Zejue Wang (GLOBECOM Workshops, 2019)

ADMM-based Weight Pruning for Real-Time Deep Learning Acceleration on Mobile Devices. - Hongjia Li; Ning Liu 007; Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Tianyun Zhang; Xue Lin 001; Wenyao Xu; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2019)

Deep Compressed Pneumonia Detection for Low-Power Embedded Devices. - Hongjia Li; Sheng Lin 001; Ning Liu 007; Caiwen Ding; Yanzhi Wang (LABELS/HAL-MICCAI/CuRIOUS@MICCAI, 2019)

Fast and Accurate Trajectory Tracking for Unmanned Aerial Vehicles based on Deep Reinforcement Learning. - Yilan Li; Hongjia Li; Zhe Li 001; Haowen Fang; Amit K. Sanyal; Yanzhi Wang; Qinru Qiu (RTCSA, 2019)

Global Orchestration of Cooperative Defense against DDoS Attacks for MEC. - Xinrui Tan; Hongjia Li; Liming Wang 001; Zhen Xu 009 (WCNC, 2019)

Database and Benchmark for Early-stage Malicious Activity Detection in 3D Printing. - Xiaolong Ma; Zhe Li 001; Hongjia Li; Qiyuan An; Qinru Qiu; Wenyao Xu; Yanzhi Wang (ASP-DAC, 2020)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Sheng Lin 001; Hongjia Li; Wujie Wen; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (ECCV (13), 2020)

ASAP: An Analytical Strategy for AQFP Placement. - Yi-Chen Chang; Hongjia Li; Olivia Chen; Yanzhi Wang; Nobuyuki Yoshikawa; Tsung-Yi Ho (ICCAD, 2020)

New Passive and Active Attacks on Deep Neural Networks in Medical Applications. - Cheng Gongye; Hongjia Li; Xiang Zhang; Majid Sabbagh; Geng Yuan; Xue Lin 001; Thomas Wahl; Yunsi Fei (ICCAD, 2020)

A New Privacy-Preserving Framework based on Edge-Fog-Cloud Continuum for Load Forecasting. - Shiming Hou; Hongjia Li; Chang Yang; Liming Wang 001 (WCNC, 2020)

End-Edge Coordinated Inference for Real-Time BYOD Malware Detection using Deep Learning. - Xinrui Tan; Hongjia Li; Liming Wang 001; Zhen Xu 009 (WCNC, 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren; Yanzhi Wang (CoRR, 2020)

ESMFL: Efficient and Secure Models for Federated Learning. - Sheng Lin 001; Chenghong Wang; Hongjia Li; Jieren Deng; Yanzhi Wang; Caiwen Ding (CoRR, 2020)

Comments on "Dropping Activation Outputs with Localized First-Layer Deep Network for Enhancing User Privacy and Data Security". - Xinrui Tan; Hongjia Li; Liming Wang 001; Zhen Xu 009 (IEEE Trans. Inf. Forensics Secur., 2020)

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. - Yuxuan Cai 001; Hongjia Li; Geng Yuan; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (AAAI, 2021)

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. - Yuxuan Cai 001; Geng Yuan; Hongjia Li; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (AAAI, 2021)

Empowering Adaptive Early-Exit Inference with Latency Awareness. - Xinrui Tan; Hongjia Li; Liming Wang 001; Xueqing Huang; Zhen Xu 009 (AAAI, 2021)

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. - Hongjia Li; Geng Yuan; Wei Niu 002; Yuxuan Cai 001; Mengshu Sun; Zhengang Li; Bin Ren; Xue Lin 001; Yanzhi Wang (ASP-DAC, 2021)

TransPicker: a Transformer-based Framework for Particle Picking in cryoEM Micrographs. - Chi Zhang; Hongjia Li; Xiaohua Wan; Xuemei Chen; Zhenghe Yang; Jieqing Feng; Fa Zhang 001 (BIBM, 2021)

Towards AQFP-Capable Physical Design Automation. - Hongjia Li; Mengshu Sun; Tianyun Zhang; Olivia Chen; Nobuyuki Yoshikawa; Bei Yu 001; Yanzhi Wang; Yibo Lin (DATE, 2021)

PickerOptimizer: A Deep Learning-Based Particle Optimizer for Cryo-Electron Microscopy Particle-Picking Algorithms. - Hongjia Li; Ge Chen; Shan Gao; Jintao Li 001; Fa Zhang 001 (ISBRA, 2021)

Structural Supervision for Word Alignment and Machine Translation. - Lei Li 051; Kai Fan 002; Hongjia Li; Chun Yuan (ACL (Findings), 2022)

A Segmentation-aware Synergy Network for Single Particle Recognition in Cryo-EM. - Shuo Li; Hongjia Li; Chi Zhang; Fa Zhang 001; Xiaohua Wan (BIBM, 2022)

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. - Peiyan Dong; Yanyue Xie; Hongjia Li; Mengshu Sun; Olivia Chen; Nobuyuki Yoshikawa; Yanzhi Wang (DAC, 2022)

PTS: A Prompt-based Teacher-Student Network for Weakly Supervised Aspect Detection. - Hongjia Li; Lingyu Yang; Lei Li 051; Chengyin Xu; Shu-Tao Xia; Chun Yuan (IJCNN, 2022)

ACEs: Unsupervised Multi-label Aspect Detection with Aspect-category Experts. - Lingyu Yang; Hongjia Li; Lei Li 051; Chun Yuan; Shu-Tao Xia (IJCNN, 2022)

An Automatic and Efficient BERT Pruning for Edge AI Systems. - Shaoyi Huang; Ning Liu 007; Yueying Liang; Hongwu Peng; Hongjia Li; Dongkuan Xu; Mimi Xie; Caiwen Ding (ISQED, 2022)

Joint Model, Task Partitioning and Privacy Preserving Adaptation for Edge DNN Inference. - Jingran Jiang; Hongjia Li; Liming Wang 001 (WCNC, 2022)

Noise-Transfer2Clean: denoising cryo-EM images based on noise modeling and transfer. - Hongjia Li; Hui Zhang; Xiaohua Wan; Zhidong Yang; Chengmin Li; Jintao Li 001; Renmin Han; Ping Zhu; Fa Zhang 001 (Bioinform., 2022)

A Transfer Learning-Based Classification Model for Particle Pruning in Cryo-Electron Microscopy. - Hongjia Li; Ge Chen; Shan Gao; Jintao Li 001; Xiaohua Wan; Fa Zhang 001 (J. Comput. Biol., 2022)

LET: Leveraging Error Type Information for Grammatical Error Correction. - Lingyu Yang; Hongjia Li; Lei Li 051; Chengyin Xu; Shutao Xia; Chun Yuan (ACL (Findings), 2023)

Satellite Anomaly Detection based on Improved Transformer Method. - Yuqiao Hou; Hongjia Li; Yuxiang Wang; Liming Wang 001; Zhen Xu 009 (APNOMS, 2023)

SaID: Simulation-Aware Image Denoising Pre-trained Model for Cryo-EM Micrographs. - Zhidong Yang; Hongjia Li; Dawei Zang; Renmin Han; Fa Zhang 001 (ISBRA, 2023)

NadGPT: Semi-Supervised Network Anomaly Detection via Auto-Regressive Auxiliary Prediction. - Yuqiao Hou; Zhen Xu 009; Liming Wang 001; Yuxiang Wang; Hongjia Li (SMC, 2023)

Byzantine-Robust Federated Learning through Dynamic Clustering. - Hanyu Wang; Liming Wang 001; Hongjia Li (TrustCom, 2023)

Label-wise Distribution Adaptive Federated Learning on Non-IID Data. - Baojian Chen; Hongjia Li; Lu Guo; Liming Wang 001 (WCNC, 2023)

Satellite Telemetry Data Anomaly Detection using Multiple Factors and Co-Attention based LSTM. - Jiankai Wang; Hongjia Li; Liming Wang 001; Zhen Xu 009 (WCNC, 2023)

Neural Machine Translation with Dynamic Graph Convolutional Decoder. - Lei Li 051; Kai Fan 002; Lingyu Yang; Hongjia Li; Chun Yuan (CoRR, 2023)

A Cooperative Defense Framework Against Application-Level DDoS Attacks on Mobile Edge Computing Services. - Hongjia Li; Chang Yang; Liming Wang 001; Nirwan Ansari; Ding Tang; Xueqing Huang; Zhen Xu 009; Dan Hu (IEEE Trans. Mob. Comput., 2023)

HHF: Hashing-Guided Hinge Function for Deep Hashing Retrieval. - Chengyin Xu; Zenghao Chai; Zhengzhuo Xu; Hongjia Li; Qiruyi Zuo; Lingyu Yang; Chun Yuan (IEEE Trans. Multim., 2023)

A strategy combining denoising and cryo-EM single particle analysis. - Hui Zhang; Hongjia Li; Fa Zhang 001; Ping Zhu (Briefings Bioinform., 2023)

Optimizing Privacy in Federated Learning with MPC and Differential Privacy. - Chao Zheng; Liming Wang 001; Zhen Xu 009; Hongjia Li (CACML, 2024)

A Secure Blockchain-based Reputation Scheme for Data Offloading in Edge Computing. - Qian Yang; Jiankai Wang; Kai Chen 012; Hongjia Li; Haihua Gao; Zhen Xu 009 (CSCWD, 2024)

Mutual Information Based Noise Scale Optimization for Gradient Leakage Resistant Federated Learning. - Chao Zheng; Liming Wang 001; Zhen Xu 009; Hongjia Li (ICASSP, 2024)

Runtime Anomaly Detection for MEC Services with Multi-Timescale and Dimensional Feature. - Qian Yang; Hongjia Li; Kai Chen 012; Jiankai Wang; Liming Wang 001; Zhen Xu 009 (WCNC, 2024)

An Enclave-Aided Byzantine-Robust Federated Aggregation Framework. - Jingyi Yao; Chen Song; Hongjia Li; Yuxiang Wang; Qian Yang; Liming Wang 001 (WCNC, 2024)

Improved Denoising of Cryo-Electron Microscopy Micrographs with Simulation-Aware Pretraining. - Zhidong Yang; Hongjia Li; Dawei Zang; Renmin Han; Fa Zhang 001 (J. Comput. Biol., 2024)

Iterative and mixed-spaces image gradient inversion attack in federated learning. - Linwei Fang; Liming Wang 001; Hongjia Li (Cybersecur., 2024)

FedSHE: privacy preserving and efficient federated learning with adaptive segmented CKKS homomorphic encryption. - Yao Pan; Zheng Chao; He Wang; Jing Yang 032; Hongjia Li; Liming Wang 001 (Cybersecur., 2024)

Reinforcement Learning Based Online Request Scheduling Framework for Workload-Adaptive Edge Deep Learning Inference. - Xinrui Tan; Hongjia Li; Xiaofei Xie; Lu Guo; Nirwan Ansari; Xueqing Huang; Liming Wang 001; Zhen Xu 009; Yang Liu 003 (IEEE Trans. Mob. Comput., 2024)

A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy. - Zhenbang Zhang; Hongjia Li; Zhiqiang Xu; Wenjia Meng; Renmin Han (AAAI, 2025)

VaniKG: Vanishing Key Gradient Attack and Defense for Robust Federated Aggregation. - Hongjia Li; Leshui Lv; Ding Tang; Yan Zhang 014; Weiping Wang 005; Xinghua Yang (INFOCOM, 2025)

A Hierarchical Networking and Privacy-Preserving Federated Learning Framework for 5G Networks. - Chen Guo; Fang Cui; Chao Xu; Mohan Su; Zhihao Wang; Hongjia Li (J. Commun. Inf. Networks, 2025)