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ORCIDLing Liu 0001
Person information
- affiliation: Georgia Institute of Technology, Atlanta, USA
- affiliation (former): Oregon Graduate Institute of Science & Technology, Portland, OR, USA
- affiliation (former): University of Alberta, Department of Computing Science, Edmonton, AB, Canada
Other persons with the same name
- Ling Liu — disambiguation page
- Ling Liu 0002 — Aachen University of Technology, Germany
- Ling Liu 0003
![[0000-0002-2309-6768]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2309-6768")
— Shenzhen University, College of Computer Science and Software Engineering, China (and 1 more) - Ling Liu 0004 — Xi'an Jiaotong University, School of Electrical Engineering, State Key Laboratory of Electrical Insulation and Power Equipment, China
- Ling Liu 0005 — Stony Brook University, Marine and Atmospheric Science Department, NY, USA
- Ling Liu 0006 — Chinese Academy of Sciences, Beijing Key Laboratory of Mobile Computing and Pervasive Device / Institute of Computing Technology, China
- Ling Liu 0007 — Queen Mary University of London, UK
- Ling Liu 0008 — Southwestern University of Finance and Economics, School of Economics Information Engineering, Chengdu, China
- Ling Liu 0009 — Yunnan University of Finance and Economics, School of Logistics and Management Engineering, Kumming, China
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2020 – today
- 2025
[i72]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Virus: Harmful Fine-tuning Attack for Large Language Models Bypassing Guardrail Moderation. CoRR abs/2501.17433 (2025)- [i71]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Zachary Yahn, Ling Liu:
Multi-Agent Reinforcement Learning with Focal Diversity Optimization. CoRR abs/2502.04492 (2025) - [i70]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Zachary Yahn, Yichang Xu, Ling Liu:
Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable. CoRR abs/2503.00555 (2025) - 2024
- [j226]Hui Yan, Weidong Bao, Xiaoqing Li, Xiaomin Zhu, Yaohong Zhang, Ji Wang, Ling Liu:
Fault-Tolerant Scheduling of Heterogeneous UAVs for Data Collection of IoT Applications. IEEE Internet Things J. 11(16): 26623-26644 (2024) - [j225]Ziwei Wang, Jun Zeng, Lin Zhong, Ling Liu, Min Gao, Junhao Wen:
DSDRec: Next POI recommendation using deep semantic extraction and diffusion model. Inf. Sci. 678: 121004 (2024) - [j224]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Fatih Ilhan, Wenqi Wei, Ling Liu:
Diversity-driven Privacy Protection Masks Against Unauthorized Face Recognition. Proc. Priv. Enhancing Technol. 2024(4): 381-392 (2024) - [j223]Xin Jin, Ling Liu, Xiaoxuan Ren, Qian Jiang, Shin-Jye Lee, Jun Zhang, Shaowen Yao:
A Restoration Scheme for Spatial and Spectral Resolution of the Panchromatic Image Using the Convolutional Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3379-3393 (2024) - [j222]Xiaofeng Liu, Yinglong Ma, Degang Chen, Ling Liu:
Toward Embedding Ambiguity-Sensitive Graph Neural Network Explainability. IEEE Trans. Fuzzy Syst. 32(12): 6951-6964 (2024) - [j221]Gaoyang Liu, Tianlong Xu, Rui Zhang, Zixiong Wang, Chen Wang, Ling Liu:
Gradient-Leaks: Enabling Black-Box Membership Inference Attacks Against Machine Learning Models. IEEE Trans. Inf. Forensics Secur. 19: 427-440 (2024) - [j220]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. ACM Trans. Intell. Syst. Technol. 15(1): 15:1-15:24 (2024) - [j219]Sangwon Lee, Junho Hong, Ling Liu, Wonik Choi:
TS-Fastformer: Fast Transformer for Time-series Forecasting. ACM Trans. Intell. Syst. Technol. 15(2): 24:1-24:20 (2024) - [j218]Wenqi Wei, Ka Ho Chow, Yanzhao Wu, Ling Liu:
Demystifying Data Poisoning Attacks in Distributed Learning as a Service. IEEE Trans. Serv. Comput. 17(1): 237-250 (2024) - [j217]Rui Zhu, Yue Huang, Ling Liu, Wei Zhou, Xuan Zhang, Yeting Chen, Li Cai:
Business Process Retrieval From Large Model Repositories for Industry 4.0. IEEE Trans. Serv. Comput. 17(1): 306-321 (2024) - [j216]Ming Xu, Ling Liu:
Secure Neighbor Discovery as a Service in the Internet of Ships Environment. IEEE Trans. Serv. Comput. 17(5): 2807-2821 (2024) - [c376]Gawon Lee, Dohee Kim, Segil Park, Sung-Hyun Sim, Ling Liu, Hyerim Bae:
Neural Bezier Interpolation with Manifold Learning for Reliable Vessel Trajectory Prediction. CogMI 2024: 189-196 - [c375]Fatih Ilhan, Gong Su, Selim Furkan Tekin, Tiansheng Huang, Sihao Hu, Ling Liu:
Resource- Efficient Transformer Pruning for Finetuning of Large Models. CVPR 2024: 16206-16215 - [c374]Boyu Du, Jingya Zhou, Ling Liu, Xiaolong She:
FL-GNN: Efficient Fusion of Fuzzy Neural Network and Graph Neural Network. ECAI 2024: 1768-1775 - [c373]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu:
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. ECCV (82) 2024: 434-450 - [c372]Selim F. Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu:
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. EMNLP (Findings) 2024: 11951-11966 - [c371]Ka-Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. EuroSys 2024: 870-887 - [c370]Wenqi Wei, Ling Liu:
Gradient Coupling Effect of Poisoning Attacks in Federated Learning. HICSS 2024: 7602-7611 - [c369]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
Conversational Drug Editing Using Retrieval and Domain Feedback. ICLR 2024 - [c368]Zhen Wu, Jingya Zhou, Jinghui Zhang, Ling Liu, Chizhou Huang:
A Deep Prediction Framework for Multi-Source Information via Heterogeneous GNN. KDD 2024: 3460-3471 - [c367]Tiansheng Huang, Sihao Hu, Ling Liu:
Vaccine: Perturbation-aware Alignment for Large Language Models against Harmful Fine-tuning Attack. NeurIPS 2024 - [c366]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim F. Tekin, Ling Liu:
Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack. NeurIPS 2024 - [c365]Fatih Ilhan, Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Selim F. Tekin, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu, Ling Liu:
Adaptive Deep Neural Network Inference Optimization with EENet. WACV 2024: 1362-1371 - [c364]Sihao Hu, Tiansheng Huang, Ka-Ho Chow, Wenqi Wei, Yanzhao Wu, Ling Liu:
ZipZap: Efficient Training of Language Models for Large-Scale Fraud Detection on Blockchain. WWW 2024: 2807-2816 - [i69]Wenqi Wei, Ling Liu:
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance. CoRR abs/2402.01096 (2024) - [i68]Tiansheng Huang, Sihao Hu, Ling Liu:
Vaccine: Perturbation-aware Alignment for Large Language Model. CoRR abs/2402.01109 (2024) - [i67]Sihao Hu, Tiansheng Huang, Ling Liu:
PokeLLMon: A Human-Parity Agent for Pokemon Battles with Large Language Models. CoRR abs/2402.01118 (2024) - [i66]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim F. Tekin, Gaowen Liu, Ramana Kompella, Ling Liu:
A Survey on Large Language Model-Based Game Agents. CoRR abs/2404.02039 (2024) - [i65]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ka-Ho Chow, Margaret L. Loper, Ling Liu:
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning. CoRR abs/2404.04434 (2024) - [i64]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR abs/2405.18641 (2024) - [i63]Ka-Ho Chow, Sihao Hu, Tiansheng Huang, Ling Liu:
Personalized Privacy Protection Mask Against Unauthorized Facial Recognition. CoRR abs/2407.13975 (2024) - [i62]Tiansheng Huang, Gautam Bhattacharya, Pratik Joshi, Josh Kimball, Ling Liu:
Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning. CoRR abs/2408.09600 (2024) - [i61]Yang Zhang, Rui Zhang, Xuecheng Nie, Haochen Li, Jikun Chen, Yifan Hao, Xin Zhang, Luoqi Liu, Ling Liu:
SPDiffusion: Semantic Protection Diffusion for Multi-concept Text-to-image Generation. CoRR abs/2409.01327 (2024) - [i60]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturbation. CoRR abs/2409.01586 (2024) - [i59]Wenqi Wei, Tiansheng Huang, Zachary Yahn, Anoop Singhal, Margaret Loper, Ling Liu:
Data Poisoning and Leakage Analysis in Federated Learning. CoRR abs/2409.13004 (2024) - [i58]Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey. CoRR abs/2409.18169 (2024) - [i57]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Ling Liu:
LLM-TOPLA: Efficient LLM Ensemble by Maximising Diversity. CoRR abs/2410.03953 (2024) - [i56]Selim Furkan Tekin, Fatih Ilhan, Tiansheng Huang, Sihao Hu, Zachary Yahn, Ling Liu:
H3Fusion: Helpful, Harmless, Honest Fusion of Aligned LLMs. CoRR abs/2411.17792 (2024) - 2023
- [j215]Chungheon Yi, Ling Liu, Wonik Choi:
SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison. IEEE Access 11: 121603-121616 (2023) - [j214]Jingya Zhou, Ling Liu, Wenqi Wei, Jianxi Fan:
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding. ACM Comput. Surv. 55(2): 38:1-38:35 (2023) - [j213]Liping Wang, Wei Zhou, Ling Liu, Zhengyi Yang, Junhao Wen:
Deep adaptive collaborative graph neural network for social recommendation. Expert Syst. Appl. 229(Part A): 120410 (2023) - [j212]Hui Yan, Weidong Bao, Xiaomin Zhu, Ji Wang, Ling Liu:
Data Offloading Enabled by Heterogeneous UAVs for IoT Applications Under Uncertain Environments. IEEE Internet Things J. 10(5): 3928-3943 (2023) - [j211]Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei:
Explicit time embedding based cascade attention network for information popularity prediction. Inf. Process. Manag. 60(3): 103278 (2023) - [j210]Xigang Sun, Jingya Zhou, Ling Liu, Zhen Wu:
CasTformer: A novel cascade transformer towards predicting information diffusion. Inf. Sci. 648: 119531 (2023) - [j209]Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Animashree Anandkumar:
Multi-modal molecule structure-text model for text-based retrieval and editing. Nat. Mac. Intell. 5(12): 1447-1457 (2023) - [j208]Yanzhao Wu, Ling Liu:
Selecting and Composing Learning Rate Policies for Deep Neural Networks. ACM Trans. Intell. Syst. Technol. 14(2): 22:1-22:25 (2023) - [j207]Hangying Liao, Qian Jiang, Xin Jin, Ling Liu, Lin Liu, Shin-Jye Lee, Wei Zhou:
MUGAN: Thermal Infrared Image Colorization Using Mixed-Skipping UNet and Generative Adversarial Network. IEEE Trans. Intell. Veh. 8(4): 2954-2969 (2023) - [j206]Yakun Huang, Xiuquan Qiao, Jian Tang, Pei Ren, Ling Liu, Calton Pu, Junliang Chen:
An Integrated Cloud-Edge-Device Adaptive Deep Learning Service for Cross-Platform Web. IEEE Trans. Mob. Comput. 22(4): 1950-1967 (2023) - [j205]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD Against Gradient Leakage Threats. IEEE Trans. Parallel Distributed Syst. 34(7): 2040-2054 (2023) - [j204]Sung-Hyun Sim, Hyerim Bae, Ling Liu:
Bagging Recurrent Event Imputation for Repair of Imperfect Event Log With Missing Categorical Events. IEEE Trans. Serv. Comput. 16(1): 108-121 (2023) - [j203]Wenhua Xiao, Cheng Yang, Ji Wang, Xiaomin Zhu, Weidong Bao, Xiaojie Feng, Yu Xie, Wei Cao, Feng Yu, Ling Liu:
YISHAN: Managing Large-scale Cloud Database Instances via Machine Learning. IEEE Trans. Serv. Comput. 16(1): 724-738 (2023) - [j202]Chen Wang, Mengting Yuan, Rui Zhang, Kai Peng, Ling Liu:
Efficient Point-of-Interest Recommendation Services With Heterogenous Hypergraph Embedding. IEEE Trans. Serv. Comput. 16(2): 1132-1143 (2023) - [j201]Emre Yigitoglu, Mehmet Emre Gursoy, Ling Liu:
Utility-Aware and Privacy-Preserving Mobile Query Services. IEEE Trans. Serv. Comput. 16(2): 1458-1472 (2023) - [j200]Pei Ren, Ling Liu, Xiuquan Qiao, Junliang Chen:
Distributed Edge System Orchestration for Web-Based Mobile Augmented Reality Services. IEEE Trans. Serv. Comput. 16(3): 1778-1792 (2023) - [j199]Imam Mustafa Kamal, Hyerim Bae, Ling Liu:
Metric Learning as a Service With Covariance Embedding. IEEE Trans. Serv. Comput. 16(5): 3508-3522 (2023) - [j198]Bingbing Song, Ruxin Wang, Song Gao, Yunyun Dong, Ling Liu, Wei Zhou:
Securing Deep Learning as a Service Against Adaptive High Frequency Attacks With MMCAT. IEEE Trans. Serv. Comput. 16(5): 3723-3735 (2023) - [c363]Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Amplifying Object Tracking Performance on Edge Devices. CogMI 2023: 83-92 - [c362]Chungheon Yi, Wonik Choi, Ling Liu:
Revisiting Metric Space Similarity Methods for High Performance Deep Embedding Learning. CogMI 2023: 159-164 - [c361]Dohee Kim, Sung-Hyun Sim, Bori Yoon, Ling Liu, Hyerim Bae:
Improving Time-Series Classification Accuracy Based on Temporal Feature Representation Learning Using CRU-LSTM Autoencoder. CogMI 2023: 175-183 - [c360]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CVPR 2023: 16343-16351 - [c359]Fatih Ilhan, Gong Su, Ling Liu:
ScaleFL: Resource-Adaptive Federated Learning with Heterogeneous Clients. CVPR 2023: 24532-24541 - [c358]Fatih Ilhan, Gong Su, Qingyang Wang, Ling Liu:
Scalable Federated Learning with System Heterogeneity. ICDCS 2023: 1037-1040 - [c357]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. ICDM 2023: 648-657 - [c356]Wenqi Wei, Ka-Ho Chow, Fatih Ilhan, Yanzhao Wu, Ling Liu:
Model Cloaking against Gradient Leakage. ICDM 2023: 1403-1408 - [c355]Youssef Elmougy, Ling Liu:
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics. KDD 2023: 3979-3990 - [c354]Tiansheng Huang, Sihao Hu, Ka Ho Chow, Fatih Ilhan, Selim F. Tekin, Ling Liu:
Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training. NeurIPS 2023 - [c353]Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
SCAD: Scalability Advisor for Interactive Microservices on Hybrid Clouds. SIGMOD Conference Companion 2023: 127-130 - [c352]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. TPS-ISA 2023: 297-306 - [c351]Ling Liu:
Can Federated Learning be Responsible? TPS-ISA 2023: xv - [c350]Fatih Ilhan, Selim Furkan Tekin, Sihao Hu, Tiansheng Huang, Ka Ho Chow, Ling Liu:
Hierarchical Deep Neural Network Inference for Device-Edge-Cloud Systems. WWW (Companion Volume) 2023: 302-305 - [c349]Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu:
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. WWW 2023: 2189-2197 - [i55]Fatih Ilhan, Ling Liu, Ka Ho Chow, Wenqi Wei, Yanzhao Wu, Myungjin Lee, Ramana Kompella, Hugo Latapie, Gaowen Liu:
EENet: Learning to Early Exit for Adaptive Inference. CoRR abs/2301.07099 (2023) - [i54]Ka Ho Chow, Ling Liu, Wenqi Wei, Fatih Ilhan, Yanzhao Wu:
STDLens: Model Hijacking-Resilient Federated Learning for Object Detection. CoRR abs/2303.11511 (2023) - [i53]Sihao Hu, Zhen Zhang, Bingqiao Luo, Shengliang Lu, Bingsheng He, Ling Liu:
BERT4ETH: A Pre-trained Transformer for Ethereum Fraud Detection. CoRR abs/2303.18138 (2023) - [i52]Wenqi Wei, Ling Liu, Jingya Zhou, Ka Ho Chow, Yanzhao Wu:
Securing Distributed SGD against Gradient Leakage Threats. CoRR abs/2305.06473 (2023) - [i51]Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao:
ChatGPT-powered Conversational Drug Editing Using Retrieval and Domain Feedback. CoRR abs/2305.18090 (2023) - [i50]Youssef Elmougy, Ling Liu:
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics. CoRR abs/2306.06108 (2023) - [i49]Xigang Sun, Jingya Zhou, Ling Liu, Wenqi Wei:
Explicit Time Embedding Based Cascade Attention Network for Information Popularity Prediction. CoRR abs/2308.09976 (2023) - [i48]Sanjana Vijay Ganesh, Yanzhao Wu, Gaowen Liu, Ramana Kompella, Ling Liu:
Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study. CoRR abs/2309.02666 (2023) - [i47]Sihao Hu, Tiansheng Huang, Fatih Ilhan, Selim Furkan Tekin, Ling Liu:
Large Language Model-Powered Smart Contract Vulnerability Detection: New Perspectives. CoRR abs/2310.01152 (2023) - [i46]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Exploring Model Learning Heterogeneity for Boosting Ensemble Robustness. CoRR abs/2310.02237 (2023) - [i45]Ka Ho Chow, Umesh Deshpande, Veera Deenadhayalan, Sangeetha Seshadri, Ling Liu:
Atlas: Hybrid Cloud Migration Advisor for Interactive Microservices. CoRR abs/2311.06962 (2023) - [i44]Yanzhao Wu, Ka Ho Chow, Wenqi Wei, Ling Liu:
Hierarchical Pruning of Deep Ensembles with Focal Diversity. CoRR abs/2311.10293 (2023) - 2022
- [j197]Jaejin Seo, Sangwon Lee, Ling Liu, Wonik Choi:
TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation. IEEE Access 10: 39119-39128 (2022) - [j196]Ling Liu, Qian Jiang, Xin Jin, Jia-Nan Feng, Ruxin Wang, Hangying Liao, Shin-Jye Lee, Shaowen Yao:
CASR-Net: A color-aware super-resolution network for panchromatic image. Eng. Appl. Artif. Intell. 114: 105084 (2022) - [j195]Ting Li, Yiming Zhang, Hao Liu, Guangtao Xue, Ling Liu:
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph. IEEE Trans. Big Data 8(1): 193-202 (2022) - [j194]Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar, Junliang Chen:
Edge AR X5: An Edge-Assisted Multi-User Collaborative Framework for Mobile Web Augmented Reality in 5G and Beyond. IEEE Trans. Cloud Comput. 10(4): 2521-2537 (2022) - [j193]Jia-Nan Feng, Qian Jiang, Ching-Hsun Tseng, Xin Jin, Ling Liu, Wei Zhou, Shaowen Yao:
A Deep Multitask Convolutional Neural Network for Remote Sensing Image Super-Resolution and Colorization. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j192]Wenqi Wei, Ling Liu:
Gradient Leakage Attack Resilient Deep Learning. IEEE Trans. Inf. Forensics Secur. 17: 303-316 (2022) - [j191]Mehmet Emre Gursoy, Ling Liu, Ka Ho Chow, Stacey Truex, Wenqi Wei:
An Adversarial Approach to Protocol Analysis and Selection in Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 1785-1799 (2022) - [j190]Yakun Huang, Xiuquan Qiao, Pei Ren, Ling Liu, Calton Pu, Schahram Dustdar, Junliang Chen:
A Lightweight Collaborative Deep Neural Network for the Mobile Web in Edge Cloud. IEEE Trans. Mob. Comput. 21(7): 2289-2305 (2022) - [j189]Zhongwei Xie, Ling Liu, Yanzhao Wu, Luo Zhong, Lin Li:
Learning Text-image Joint Embedding for Efficient Cross-modal Retrieval with Deep Feature Engineering. ACM Trans. Inf. Syst. 40(4): 74:1-74:27 (2022) - [j188]Yanzhao Wu, Ling Liu, Calton Pu, Wenqi Cao, Semih Sahin, Wenqi Wei, Qi Zhang:
A Comparative Measurement Study of Deep Learning as a Service Framework. IEEE Trans. Serv. Comput. 15(1): 551-566 (2022) - [j187]Pingpeng Yuan, Yujie You, Shuang Zhou, Hai Jin, Ling Liu:
Providing Fast Reachability Query Services With MGTag: A Multi-Dimensional Graph Labeling Method. IEEE Trans. Serv. Comput. 15(2): 1000-1011 (2022) - [j186]Bowen Fei, Xiaomin Zhu, Daqian Liu, Junjie Chen, Weidong Bao, Ling Liu:
Elastic Resource Provisioning Using Data Clustering in Cloud Service Platform. IEEE Trans. Serv. Comput. 15(3): 1578-1591 (2022) - [j185]Bei Wang, Ling Xu, Meng Yan, Chao Liu, Ling Liu:
Multi-Dimension Convolutional Neural Network for Bug Localization. IEEE Trans. Serv. Comput. 15(3): 1649-1663 (2022) - [j184]Yuming Wang, Yanbo Long, Lai Tu, Ling Liu:
Delivering Scientific Influence Analysis as a Service on Research Grants Repository. IEEE Trans. Serv. Comput. 15(4): 1896-1911 (2022) - [j183]Xiong Gao, Weidong Bao, Xiaomin Zhu, Guanlin Wu, Ling Liu:
An Edge Storage Acceleration Service for Collaborative Mobile Devices. IEEE Trans. Serv. Comput. 15(4): 1993-2006 (2022) - [j182]Mincheol Kim, Ling Liu, Wonik Choi:
Multi-GPU Efficient Indexing For Maximizing Parallelism of High Dimensional Range Query Services. IEEE Trans. Serv. Comput. 15(5): 2910-2924 (2022) - [j181]Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar:
Fine-Grained Elastic Partitioning for Distributed DNN Towards Mobile Web AR Services in the 5G Era. IEEE Trans. Serv. Comput. 15(6): 3260-3274 (2022) - [j180]Zhongwei Xie, Ling Liu, Yanzhao Wu, Lin Li, Luo Zhong:
Learning TFIDF Enhanced Joint Embedding for Recipe-Image Cross-Modal Retrieval Service. IEEE Trans. Serv. Comput. 15(6): 3304-3316 (2022) - [j179]Rui Zhang, Rui Xue, Ling Liu:
Security and Privacy for Healthcare Blockchains. IEEE Trans. Serv. Comput. 15(6): 3668-3686 (2022) - [j178]Longlong Lin, Pingpeng Yuan, Rong-Hua Li, Jifei Wang, Ling Liu, Hai Jin:
Mining Stable Quasi-Cliques on Temporal Networks. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3731-3745 (2022) - [j177]Ming Xu, Hexin Feng, Ling Liu:
Covert Secret-Key Agreement Protocol Based on the Underwater Acoustic Channel. IEEE Wirel. Commun. Lett. 11(7): 1384-1388 (2022) - [c348]Ling Liu:
Ensemble Learning Methods for Dirty Data. CIKM 2022: 2 - [c347]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
DeepRest: deep resource estimation for interactive microservices. EuroSys 2022: 181-198 - [c346]Ling Liu, Minghan Cai, Rui Zhang, Qianchen Xiang, Hairu Yang:
Research on the Current Situation and Strategies of College Students' Online Learning Interaction and Satisfaction During the COVID-19 Pandemic. IC4E 2022: 189-196 - [c345]Zhen Wu, Jingya Zhou, Ling Liu, Chaozhuo Li, Fei Gu:
Deep Popularity Prediction in Multi-Source Cascade with HERI-GCN. ICDE 2022: 1714-1726 - [c344]Ka Ho Chow, Ling Liu:
Boosting Object Detection Ensembles with Error Diversity. ICDM 2022: 903-908 - [c343]Zhongwei Xie, Lin Li, Luo Zhong, Jianquan Liu, Ling Liu:
Cross-Modal Retrieval between Event-Dense Text and Image. ICMR 2022: 229-238 - [i43]Yanzhao Wu, Ling Liu:
Selecting and Composing Learning Rate Policies for Deep Neural Networks. CoRR abs/2210.12936 (2022) - [i42]Imam Mustafa Kamal, Hyerim Bae, Ling Liu:
Metric Learning as a Service with Covariance Embedding. CoRR abs/2211.15197 (2022) - [i41]Sung-Hyun Sim, Ling Liu, Hyerim Bae:
Automatic Discovery of Multi-perspective Process Model using Reinforcement Learning. CoRR abs/2211.16687 (2022) - [i40]Shengchao Liu, Weili Nie, Chengpeng Wang, Jiarui Lu, Zhuoran Qiao, Ling Liu, Jian Tang, Chaowei Xiao, Anima Anandkumar:
Multi-modal Molecule Structure-text Model for Text-based Retrieval and Editing. CoRR abs/2212.10789 (2022) - [i39]Shanxiang Lyu, Ling Liu, Junzuo Lai, Cong Ling, Hao Chen:
Lattice Codes for Lattice-Based PKE. IACR Cryptol. ePrint Arch. 2022: 874 (2022) - 2021
- [j176]Sangwon Lee, Ling Liu, Wonik Choi:
Iterative Translation-Based Data Augmentation Method for Text Classification Tasks. IEEE Access 9: 160437-160445 (2021) - [j175]Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing, Jingping Bi:
Decentralized Trust Management: Risk Analysis and Trust Aggregation. ACM Comput. Surv. 53(1): 2:1-2:33 (2021) - [j174]Gaoyang Liu, Rui Zhang, Yang Yang, Chen Wang, Ling Liu:
GPS spoofed or not? Exploiting RSSI and TSS in crowdsourced air traffic control data. Distributed Parallel Databases 39(1): 231-257 (2021) - [j173]Wenqi Wei, Ling Liu:
Robust Deep Learning Ensemble Against Deception. IEEE Trans. Dependable Secur. Comput. 18(4): 1513-1527 (2021) - [j172]Mehmet Emre Gursoy, Acar Tamersoy, Stacey Truex, Wenqi Wei, Ling Liu:
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy. IEEE Trans. Dependable Secur. Comput. 18(5): 2365-2378 (2021) - [j171]Wenqi Wei, Qi Zhang, Ling Liu:
Bitcoin Transaction Forecasting With Deep Network Representation Learning. IEEE Trans. Emerg. Top. Comput. 9(3): 1359-1371 (2021) - [j170]Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu:
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks. IEEE Trans. Inf. Forensics Secur. 16: 3412-3425 (2021) - [j169]Xuxin Zhang, Jian Chen, Rui Zhang, Chen Wang, Ling Liu:
Attacking Recommender Systems With Plausible Profile. IEEE Trans. Inf. Forensics Secur. 16: 4788-4800 (2021) - [j168]Yiming Zhang, Dong Sheng Li, Chengfei Zhang, Jinyan Wang, Ling Liu:
GraphA: Efficient Partitioning and Storage for Distributed Graph Computation. IEEE Trans. Serv. Comput. 14(1): 155-166 (2021) - [j167]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Lei Yu, Wenqi Wei:
Demystifying Membership Inference Attacks in Machine Learning as a Service. IEEE Trans. Serv. Comput. 14(6): 2073-2089 (2021) - [c342]Xiaoke Zhu, Qi Zhang, Taining Cheng, Ling Liu, Wei Zhou, Jing He:
DLB: Deep Learning Based Load Balancing. CLOUD 2021: 648-653 - [c341]Hanwen Zhang, Wei Zhou, Junhao Wen, Ling Liu, Jun Zeng, Min Gao:
Modeling Multi-Attribute and Implicit Relationship Factors for Collaborative Filtering Recommender System. SCC 2021: 71-78 - [c340]Juhyun Bae, Ling Liu, Ka Ho Chow, Yanzhao Wu, Gong Su, Arun Iyengar:
Transparent Network Memory Storage for Efficient Container Execution in Big Data Clouds. IEEE BigData 2021: 76-85 - [c339]Wenqi Cao, Ling Liu, Gong Su, Arun Iyengar:
Efficient Huge Page Management with Xpage. IEEE BigData 2021: 1317-1326 - [c338]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Learning Joint Embedding with Modality Alignments for Cross-Modal Retrieval of Recipes and Food Images. CIKM 2021: 2221-2230 - [c337]Yanzhao Wu, Ling Liu, Ramana Kompella:
Parallel Detection for Efficient Video Analytics at the Edge. CogMI 2021: 1-10 - [c336]Juhyun Bae, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
RDMAbox: Optimizing RDMA for Memory Intensive Workload. CIC 2021: 1-10 - [c335]Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei:
Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. CVPR 2021: 16469-16477 - [c334]Yangyang Zhang, Jianxin Li, Yiming Zhang, Lijie Wang, Ling Liu:
FreeLauncher: Lossless Failure Recovery of Parameter Servers with Ultralight Replication. ICDCS 2021: 472-482 - [c333]Wenqi Wei, Ling Liu, Yanzhao Wu, Gong Su, Arun Iyengar:
Gradient-Leakage Resilient Federated Learning. ICDCS 2021: 797-807 - [c332]Yanzhao Wu, Ling Liu:
Boosting Deep Ensemble Performance with Hierarchical Pruning. ICDM 2021: 1433-1438 - [c331]Zhongwei Xie, Ling Liu, Lin Li, Luo Zhong:
Efficient Deep Feature Calibration for Cross-Modal Joint Embedding Learning. ICMI 2021: 43-51 - [c330]Yakun Huang, Hongru Zhao, Xiuquan Qiao, Jian Tang, Ling Liu:
Towards Video Streaming Analysis and Sharing for Multi-Device Interaction with Lightweight DNNs. INFOCOM 2021: 1-10 - [c329]Ka Ho Chow, Ling Liu:
Robust Object Detection Fusion Against Deception. KDD 2021: 2703-2713 - [c328]Ka Ho Chow, Umesh Deshpande, Sangeetha Seshadri, Ling Liu:
SRA: Smart Recovery Advisor for Cyber Attacks. SIGMOD Conference 2021: 2691-2695 - [c327]Ka Ho Chow, Ling Liu:
Perception Poisoning Attacks in Federated Learning. TPS-ISA 2021: 146-155 - [c326]Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Ka Ho Chow:
The TSC-PFed Architecture for Privacy-Preserving FL. TPS-ISA 2021: 207-216 - [i38]Juhyun Bae, Gong Su, Arun Iyengar, Yanzhao Wu, Ling Liu:
RDMAbox : Optimizing RDMA for Memory Intensive Workloads. CoRR abs/2104.12197 (2021) - [i37]