Qing Liao

208 papers A* 23A 8B 9C 9Misc 5Journal 109Unranked 45
YearRankTypeTitle / Venue / Authors
2026 A* conf
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification.
AAAI
Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang
2026 J jnl
Enabling Reliable and Anonymous Data Collection for Fog-Assisted Mobile Crowdsensing With Malicious User Detection.
IEEE Trans. Mob. Comput.
Mingyang Song, Zhongyun Hua, Yifeng Zheng, Rushi Lan, Qing Liao, Guoai Xu
2026 J jnl
FedPD: personalized federated learning based on partial distillation.
Frontiers Comput. Sci.
Xu Yang, Ji-Yuan Feng, Song-Yue Guo, Bin-Xing Fang, Qing Liao
2026 — conf
Improving Heterogeneous Graph Contrastive Learning Robustness via Hierarchical Vulnerability Protection.
KDD (1)
Jinhao Cui, Chaoyang Li, Jianyang Qin, Lingzhi Wang, Cuiyun Gao, Qing Liao
2026 J jnl
Large-Capacity Reversible Data Hiding Over Encrypted Images via Pixel Correlation Recovery.
IEEE Trans. Dependable Secur. Comput.
Zhongyun Hua, Jianhui Zou, Yifeng Zheng, Zhili Zhou, Fei Peng, Qing Liao
2026 J jnl
Orchestration-Free Customer Service Automation: A Privacy-Preserving and Flowchart-Guided Framework.
CoRR
Mengze Hong, Chen Jason Zhang, Zichang Guo, Hanlin Gu, Di Jiang, Qing Liao
2026 J jnl
Self-Regressive Prototype Refinement: Stepping from Local to Global Prototypes in Few-Shot Image Classification.
ACM Trans. Multim. Comput. Commun. Appl.
Zhenyu Zhou, Qing Liao, Tianrui Liu, Lei Luo, Xinwang Liu, En Zhu
2025 J jnl
A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI.
CoRR
Cuiyun Gao, Guodong Fan, Chun Yong Chong, Shizhan Chen, Chao Liu, David Lo, Zibin Zheng, Qing Liao
2025 J jnl
AXIOM: Benchmarking LLM-as-a-Judge for Code via Rule-Based Perturbation and Multisource Quality Calibration.
CoRR
Ruiqi Wang, Xinchen Wang, Cuiyun Gao, Chun Yong Chong, Xin Xia, Qing Liao
2025 A* conf
Adaptive Data and Task Joint Scheduling for Multi-Task Learning.
ICDE
Zeyu Liu, Heyan Chai, Chaoyang Li, Lingzhi Wang, Qing Liao
2025 J jnl
An Empirical Study of Knowledge Distillation for Code Understanding Tasks.
CoRR
Ruiqi Wang, Zezhou Yang, Cuiyun Gao, Xin Xia, Qing Liao
2025 J jnl
CGoFed: Constrained Gradient Optimization Strategy for Federated Class Incremental Learning.
IEEE Trans. Knowl. Data Eng.
Jiyuan Feng, Xu Yang, Liwen Liang, Weihong Han, Binxing Fang, Qing Liao
2025 J jnl
CORE: CORrelation-Guided Feature Enhancement for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Jing Xu, Xinglin Pan, Jingquan Wang, Wenjie Pei, Qing Liao, Zenglin Xu
2025 J jnl
Category Alignment Mechanism for Few-Shot Image Classification.
IEEE Trans. Neural Networks Learn. Syst.
Zhenyu Zhou, Lei Luo, Tianrui Liu, Qing Liao, Xinwang Liu, En Zhu
2025 A* conf
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language.
SIGIR
Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao
2025 J jnl
CoMaPOI: A Collaborative Multi-Agent Framework for Next POI Prediction Bridging the Gap Between Trajectory and Language.
CoRR
Lin Zhong, Lingzhi Wang, Xu Yang, Qing Liao
2025 — conf
Cross-Modal Causal Scheduling for Enhancing Target-Oriented Multi-modal Sentiment Classification.
ECML/PKDD (4)
Pengyu Zhao, Chaoyang Li, Lingzhi Wang, Qing Liao
2025 J jnl
DA-PFL: Dynamic Affinity Aggregation in Personalized Federated Learning Under Class Imbalance.
IEEE Trans. Neural Networks Learn. Syst.
Xu Yang, Jiyuan Feng, Yongxin Tong, Lingzhi Wang, Songyue Guo, Binxing Fang, Qing Liao
2025 J jnl
Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification.
CoRR
Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang
2025 J jnl
Enabling Verifiable Search and Integrity Auditing in Encrypted Decentralized Storage Using One Proof.
IEEE Trans. Computers
Mingyang Song, Zhongyun Hua, Yifeng Zheng, Qing Liao, Xiaohua Jia
2025 J jnl
EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment.
CoRR
Xin-Cheng Wen, Jiaxin Ye, Cuiyun Gao, Lianwei Wu, Qing Liao
2025 B conf
FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning.
COLING
Dongyi Zheng, Hongyu Zhang, Jianyang Zhai, Lin Zhong, Lingzhi Wang, Jiyuan Feng, Xiangke Liao, Yonghong Tian, Nong Xiao, Qing Liao
2025 B conf
FedSS: A Federated Semantic Segmentation Framework with Domain-Agnostic Feature Extraction and Fair Aggregation.
IJCNN
Liwen Liang, Jiyuan Feng, Lingzhi Wang, Qing Liao
2025 J jnl
Improving long-tail classification via decoupling and regularisation.
CAAI Trans. Intell. Technol.
Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu
2025 A* conf
IntelliTopo: An IaC Generation Service for Industrial Network Topology Construction.
ASE
Mingyu Shao, Zhao Liu, Weihong Han, Cuiyun Gao, Jiachen Liu, Qing Liao
2025 A* conf
Joint Scheduling of Causal Prompts and Tasks for Multi-Task Learning.
CVPR
Chaoyang Li, Jianyang Qin, Jinhao Cui, Zeyu Liu, Ning Hu, Qing Liao
2025 J jnl
MG-SIN: Multigraph Sparse Interaction Network for Multitask Stance Detection.
IEEE Trans. Neural Networks Learn. Syst.
Heyan Chai, Jinhao Cui, Siyu Tang, Ye Ding, Xinwang Liu, Binxing Fang, Qing Liao
2025 J jnl
MLLM-Based UI2Code Automation Guided by UI Layout Information.
CoRR
Fan Wu, Cuiyun Gao, Shuqing Li, Xin-Cheng Wen, Qing Liao
2025 J jnl
MLLM-Based UI2Code Automation Guided by UI Layout Information.
Proc. ACM Softw. Eng.
Fan Wu, Cuiyun Gao, Shuqing Li, Xin-Cheng Wen, Qing Liao
2025 J jnl
Multitask Causal Contrastive Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chaoyang Li, Heyan Chai, Yan Jia, Ning Hu, Qing Liao
2025 J jnl
Overcoming Catastrophic Forgetting in Federated Continual Graph Learning for Resource-Limited Mobile Devices.
IEEE Trans. Mob. Comput.
Jiyuan Feng, Xu Yang, Dongyi Zheng, Weihong Han, Binxing Fang, Qing Liao
2025 C conf
PATCHOULI: Fine-grained Security Patch Detection Engine.
APSEC
Binchang Li, Qingyuan Li, Cuiyun Gao, Qing Liao
2025 A* conf
Repository-Level Graph Representation Learning for Enhanced Security Patch Detection.
ICSE
Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao
2025 A* conf
Robust and Consistent Anchor Graph Learning for Multi-View Clustering (Extended Abstract).
ICDE
Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu
2025 J jnl
S
CoRR
Shengpeng Wang, Yulong Xie, Qing Liao, Wei Wang
2025 J jnl
Scalable Multi-View Graph Clustering With Cross-View Corresponding Anchor Alignment.
IEEE Trans. Knowl. Data Eng.
Siwei Wang, Xinwang Liu, Qing Liao, Yi Wen, En Zhu, Kunlun He
2025 J jnl
TaylorS: A Multi-Order Expansion Structure for Urban Spatio-Temporal Forecasting.
IEEE Trans. Knowl. Data Eng.
Jianyang Qin, Yan Jia, Binxing Fang, Qing Liao
2025 A conf
Themis: Finding Imbalance Failures in Distributed File Systems via a Load Variance Model.
EuroSys
Yuanliang Chen, Fuchen Ma, Yuanhang Zhou, Zhen Yan, Qing Liao, Yu Jiang
2025 B conf
WisePIFinder: Efficient and Accurate Detection of Persistent and Infrequent Flows.
IWQoS
Zengxie Ma, Yao Xin, Ying Chen, Zhuochen Fan, Tong Li, Ning Hu, Qing Liao, Yi Zhao, Feng Zhang
2024 A conf
A Multi-modal Prompt Learning Framework for Early Detection of Fake News.
ICWSM
Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou
2024 A* conf
A Real-time Execution System of Multimodal Transformer through PIM-GPU Collaboration.
DAC
Shengyi Ji, Chubo Liu, Yan Ding, Qing Liao, Zhuo Tang
2024 J jnl
A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities.
CoRR
Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao
2024 A conf
APIGen: Generative API Method Recommendation.
SANER
Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu
2024 J jnl
APIGen: Generative API Method Recommendation.
CoRR
Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu
2024 J jnl
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data.
CoRR
Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He
2024 A conf
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code.
ISSTA
Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao
2024 J jnl
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code.
CoRR
Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao
2024 J jnl
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection.
IEEE Trans. Knowl. Data Eng.
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
2024 A* conf
Chronos: Finding Timeout Bugs in Practical Distributed Systems by Deep-Priority Fuzzing with Transient Delay.
SP
Yuanliang Chen, Fuchen Ma, Yuanhang Zhou, Ming Gu, Qing Liao, Yu Jiang
2024 A* conf
Conditional Backdoor Attack via JPEG Compression.
AAAI
Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang
2024 J jnl
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning.
CoRR
Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao
2024 A* conf
Data Coverage for Guided Fuzzing.
USENIX Security Symposium
Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Jingzhou Fu, Zhuo Su, Qing Liao, Bin Gu, Bodong Wu, Yu Jiang
2024 — conf
Exploration On Prompting LLM With Code-Specific Information For Vulnerability Detection.
SSE
Zhihong Liu, Zezhou Yang, Qing Liao
2024 A conf
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning.
SDM
Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao
2024 — conf
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling.
ECML/PKDD (1)
Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao
2024 J jnl
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling.
CoRR
Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao
2024 J jnl
Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning.
CoRR
Xin-Cheng Wen, Cuiyun Gao, Xinchen Wang, Ruiqi Wang, Tao Zhang, Qing Liao
2024 J jnl
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types.
IEEE Trans. Software Eng.
Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
2024 Misc conf
Learning from Easy to Hard: Multi-Task Learning with Data Scheduling.
ICASSP
Zeyu Liu, Heyan Chai, Qing Liao
2024 A* conf
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting.
ICDE
Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao
2024 J jnl
ProtoRefine: Enhancing Prototypes with Similar Structure in Few-Shot Learning.
ACM Trans. Multim. Comput. Commun. Appl.
Zhenyu Zhou, Qing Liao, Lei Luo, Xinwang Liu, En Zhu
2024 J jnl
RARE: Robust Masked Graph Autoencoder.
IEEE Trans. Knowl. Data Eng.
Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He
2024 J jnl
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment.
IEEE Trans. Neural Networks Learn. Syst.
Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao
2024 — conf
ReposVul: A Repository-Level High-Quality Vulnerability Dataset.
ICSE Companion
Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao
2024 J jnl
Repository-Level Graph Representation Learning for Enhanced Security Patch Detection.
CoRR
Xin-Cheng Wen, Zirui Lin, Cuiyun Gao, Hongyu Zhang, Yong Wang, Qing Liao
2024 J jnl
Robust and Consistent Anchor Graph Learning for Multi-View Clustering.
IEEE Trans. Knowl. Data Eng.
Suyuan Liu, Qing Liao, Siwei Wang, Xinwang Liu, En Zhu
2024 A* conf
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation.
ICDE
Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao
2024 J jnl
The Design of Fast Delta Encoding for Delta Compression Based Storage Systems.
ACM Trans. Storage
Haoliang Tan, Wen Xia, Xiangyu Zou, Cai Deng, Qing Liao, Zhaoquan Gu
2024 A* conf
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning.
ICDE
Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao
2024 J jnl
Unpaired Multi-View Graph Clustering With Cross-View Structure Matching.
IEEE Trans. Neural Networks Learn. Syst.
Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu
2024 — conf
X-EDF: An Efficient Defensive Deception Framework against Reconnaissance Attacks.
MSN
Zhihang Zhang, Chenlin Huang, Yan Ding, Jinzhu Kong, Qing Liao, Pan Dong, Haifang Zhou
2023 J jnl
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning.
IEEE Trans. Cybern.
Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao
2023 Misc conf
A Multi-Modal Approach For Context-Aware Network Traffic Classification.
ICASSP
Bo Pang, Yongquan Fu, Siyuan Ren, Siqi Shen, Ye Wang, Qing Liao, Yan Jia
2023 — conf
Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion.
ICONIP (11)
Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao
2023 — conf
Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis.
EMNLP (Findings)
Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao
2023 A* conf
ConfTainter: Static Taint Analysis For Configuration Options.
ASE
Teng Wang, Haochen He, Xiaodong Liu, Shanshan Li, Zhouyang Jia, Yu Jiang, Qing Liao, Wang Li
2023 J jnl
Contrastive Multi-View Kernel Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia
2023 J jnl
Deep Intellectual Property: A Survey.
CoRR
Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shouling Ji, Nenghai Yu, Deke Guo, Li Liu
2023 J jnl
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia
2023 J jnl
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao
2023 J jnl
Extrapolation over temporal knowledge graph via hyperbolic embedding.
CAAI Trans. Intell. Technol.
Yan Jia, Mengqi Lin, Ye Wang, Jianming Li, Kai Chen, Joanna Siebert, Geordie Z. Zhang, Qing Liao
2023 B conf
FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework.
IJCNN
Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao
2023 J jnl
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning.
CoRR
Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao
2023 — conf
FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution.
DASFAA (1)
Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao
2023 — conf
HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy.
SemEval@ACL
Ziyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao
2023 J jnl
Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints.
IEEE Trans. Image Process.
Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu
2023 — conf
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification.
ACL (1)
Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao
2023 J jnl
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types.
CoRR
Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao
2023 J jnl
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.
IEEE Trans. Reliab.
Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao
2023 J jnl
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization.
IEEE Trans. Cybern.
Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu
2023 Misc conf
Minimising Distortion for GAN-Based Facial Attribute Manipulation.
ICASSP
Mingyu Shao, Li Lu, Ye Ding, Qing Liao
2023 B conf
MocGCL: Molecular Graph Contrastive Learning via Negative Selection.
IJCNN
Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao
2023 J jnl
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules.
IEEE Trans. Knowl. Data Eng.
Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang
2023 J jnl
RARE: Robust Masked Graph Autoencoder.
CoRR
Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai
2023 — conf
Software Vulnerability Detection with GPT and In-Context Learning.
DSC
Zhihong Liu, Qing Liao, Wenchao Gu, Cuiyun Gao
2023 — conf
Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion.
DASFAA (2)
Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao
2023 J jnl
Towards Better Semantics Exploration for Browser Fuzzing.
Proc. ACM Program. Lang.
Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu
2023 J jnl
Unbiased Scene Graph Generation via Two-Stage Causal Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu
2023 J jnl
Unbiased Scene Graph Generation via Two-stage Causal Modeling.
CoRR
Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu
2023 J jnl
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching.
CoRR
Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu
2023 A* conf
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning.
ICSE
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao
2023 J jnl
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning.
CoRR
Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao
2023 J jnl
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst.
Lin Xiao, Wenqian Huang, Xiaopeng Li, Fuchun Sun, Qing Liao, Lei Jia, Jichun Li, Sai Liu
2022 J jnl
A Novel Deep Learning Framework for Automatic Recognition of Thyroid Gland and Tissues of Neck in Ultrasound Image.
IEEE Trans. Circuits Syst. Video Technol.
Laifa Ma, Guanghua Tan, Hongxia Luo, Qing Liao, Shengli Li, Kenli Li
2022 — conf
ASPGen-D: Automatically Generating Fine-grained Apparmor Policies for Docker.
ISPA/BDCloud/SocialCom/SustainCom
Chenlin Huang, Keming Wang, Yun Li, Jiajian Li, Qing Liao
2022 A* conf
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis.
EMNLP
Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao
2022 J jnl
An Integrated Multi-Task Model for Fake News Detection.
IEEE Trans. Knowl. Data Eng.
Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding
2022 J jnl
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection.
CoRR
Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang
2022 J jnl
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification.
Pattern Recognit.
Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu
2022 J jnl
Communication-Efficient Federated Edge Learning via Optimal Probabilistic Device Scheduling.
IEEE Trans. Wirel. Commun.
Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Qing Liao, Caijun Zhong, Shuguang Cui
2022 J jnl
DEF-Net: A Face Aging Model by Using Different Emotional Learnings.
IEEE Trans. Circuits Syst. Video Technol.
Mingxing Duan, Kenli Li, Qing Liao, Qi Tian
2022 J jnl
Design and Analysis of a Novel Integral Design Scheme for Finding Finite-Time Solution of Time-Varying Matrix Inequalities.
IEEE Trans. Emerg. Top. Comput.
Yuejie Zeng, Kenli Li, Lin Xiao, Qing Liao
2022 Misc conf
Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network.
ICASSP
Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao
2022 A* conf
Improving Multi-task Stance Detection with Multi-task Interaction Network.
EMNLP
Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao
2022 J jnl
Informative Feature Disentanglement for Unsupervised Domain Adaptation.
IEEE Trans. Multim.
Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu
2022 J jnl
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation.
CoRR
Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King
2022 J jnl
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews.
CoRR
Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao
2022 A* conf
Multi-Intention-Aware Configuration Selection for Performance Tuning.
ICSE
Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao
2022 B conf
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs.
IJCNN
Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu
2022 J jnl
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation.
CoRR
Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding
2022 J jnl
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels.
IEEE Trans. Knowl. Data Eng.
Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang
2022 J jnl
Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI.
IEEE Trans. Neural Networks Learn. Syst.
Lin Xiao, Lei Jia, Yaonan Wang, Jianhua Dai, Qing Liao, Quanxin Zhu
2022 — conf
Topic Modeling for Short Texts Via Dual View Collaborate optimization.
DSC
Wei Liu, Yutao Huang, Yibing Guo, Ye Wang, Binxing Fang, Qing Liao
2021 — conf
A Coverage-Guided Fuzzing Framework for Trusted Execution Environments.
HPCC/DSS/SmartCity/DependSys
Chenlin Huang, Yusong Tan, Guoyun Duan, Zhiwen Chen, Boyang Zhang, Peiyao Deng, Qianxiang Zhang, Jianhua Sun, Hao Chen, Guoqing Xiao, Qing Liao
2021 J jnl
CGNN: Traffic Classification with Graph Neural Network.
CoRR
Bo Pang, Yongquan Fu, Siyuan Ren, Ye Wang, Qing Liao, Yan Jia
2021 J jnl
Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations.
Inf. Sci.
Jianhua Dai, Yiwei Li, Lin Xiao, Lei Jia, Qing Liao, Jichun Li
2021 J jnl
Deep Understanding of Runtime Configuration Intention.
Int. J. Softw. Eng. Knowl. Eng.
Chenglong Zhou, Haoran Liu, Yuanliang Zhang, Zhipeng Xue, Qing Liao, Jinjing Zhao, Ji Wang
2021 — conf
FedSP: Federated Speaker Verification with Personal Privacy Preservation.
ICA3PP (3)
Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao
2021 C conf
Fine-Grained Unbalanced Interaction Network for Visual Question Answering.
KSEM
Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao
2021 J jnl
FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories.
IEEE Internet Things J.
Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni
2021 — conf
Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning.
Trustworthy AI @ ACM Multimedia
Mingyan Wu, Shuhan Qi, Jun Rao, Jiajia Zhang, Qing Liao, Xuan Wang, Xinxin Liao
2021 J jnl
IIMLP: integrated information-entropy-based method for LncRNA prediction.
BMC Bioinform.
Junyi Li, Huinian Li, Xiao Ye, Li Zhang, Qingzhe Xu, Yuan Ping, Xiaozhu Jing, Wei Jiang, Qing Liao, Bo Liu, Yadong Wang
2021 J jnl
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation.
IEEE Trans. Image Process.
Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu
2021 A conf
MulCode: A Multi-task Learning Approach for Source Code Understanding.
SANER
Deze Wang, Yue Yu, Shanshan Li, Wei Dong, Ji Wang, Qing Liao
2021 J jnl
Novel Convergence Results of Adaptive Stochastic Gradient Descents.
IEEE Trans. Image Process.
Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li
2021 A* conf
One Pass Late Fusion Multi-view Clustering.
ICML
Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu
2021 J jnl
PL-search: a profile-link-based search method for protein remote homology detection.
Briefings Bioinform.
Xiaopeng Jin, Qing Liao, Bin Liu
2021 A* conf
Pixel Difference Networks for Efficient Edge Detection.
ICCV
Zhuo Su, WenZhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu
2021 J jnl
Pixel Difference Networks for Efficient Edge Detection.
CoRR
Zhuo Su, WenZhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu
2021 J jnl
RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything.
IEEE Consumer Electron. Mag.
Zerui Li, Yuchen Tian, Weizhe Zhang, Qing Liao, Yang Liu, Xiaojiang Du, Mohsen Guizani
2021 J jnl
S2L-PSIBLAST: a supervised two-layer search framework based on PSI-BLAST for protein remote homology detection.
Bioinform.
Xiaopeng Jin, Qing Liao, Bin Liu
2021 J jnl
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection.
Bioinform.
Xiaopeng Jin, Qing Liao, Hang Wei, Jun Zhang, Bin Liu
2021 J jnl
Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval.
Signal Image Video Process.
Yifan Li, Xuan Wang, Shuhan Qi, Chengkai Huang, Zoe Lin Jiang, Qing Liao, Jian Guan, Jiajia Zhang
2021 B conf
Spatio-Temporal Action Detector with Self-Attention.
IJCNN
Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang
2021 A conf
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval.
CIKM
Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang
2021 — conf
Survey on Knowledge Graph Embedding Based on Hyperbolic Geometry.
DSC
Mengqi Lin, Qing Liao, Yan Jia, Ye Wang
2021 — conf
Survey on Temporal Knowledge Graph.
DSC
Chong Mo, Ye Wang, Yan Jia, Qing Liao
2021 — conf
Survey on social event detection.
DSC
Yutao Huang, Qing Liao, Yan Jia, Ye Wang
2021 J jnl
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests.
CoRR
Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao
2021 J jnl
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network.
IEEE ACM Trans. Comput. Biol. Bioinform.
Hang Wei, Qing Liao, Bin Liu
2021 J jnl
iMatching: An interactive map-matching system.
Neurocomputing
Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni
2021 J jnl
idenPC-CAP: Identify protein complexes from weighted RNA-protein heterogeneous interaction networks using co-assemble partner relation.
Briefings Bioinform.
Zhourun Wu, Qing Liao, Shixi Fan, Bin Liu
2021 J jnl
idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation.
Briefings Bioinform.
Zhourun Wu, Qing Liao, Bin Liu
2020 J jnl
A Time-space Efficient Algorithm for Parallel
ACM Trans. Parallel Comput.
Ahmad Salah, Kenli Li, Qing Liao, Mervat Hashem, Zhiyong Li, Anthony T. Chronopoulos, Albert Y. Zomaya
2020 J jnl
A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks.
Briefings Bioinform.
Zhourun Wu, Qing Liao, Bin Liu
2020 J jnl
A half-precision compressive sensing framework for end-to-end person re-identification.
Neural Comput. Appl.
Longlong Liao, Zhibang Yang, Qing Liao, Kenli Li, Keqin Li, Jie Liu, Qi Tian
2020 J jnl
Bi-Connect Net for salient object detection.
Neurocomputing
Fengwei Jia, Xuan Wang, Jian Guan, Qing Liao, Jiajia Zhang, Huale Li, Shuhan Qi
2020 J jnl
Correlation Self-Expression Shrunk for Subspace Clustering.
IEEE Access
Tuo Wang, Xiang Zhang, Long Lan, Qing Liao, Chuanfu Xu, Zhigang Luo
2020 J jnl
DP-FL: a novel differentially private federated learning framework for the unbalanced data.
World Wide Web
Xixi Huang, Ye Ding, Zoe Lin Jiang, Shuhan Qi, Xuan Wang, Qing Liao
2020 — conf
Enhanced Gaze Following via Object Detection and Human Pose Estimation.
MMM (2)
Jian Guan, Liming Yin, Jianguo Sun, Shuhan Qi, Xuan Wang, Qing Liao
2020 J jnl
Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval.
Inf. Process. Manag.
Chengkai Huang, Xuan Luo, Jiajia Zhang, Qing Liao, Xuan Wang, Zoe Lin Jiang, Shuhan Qi
2020 C conf
Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio.
CLUSTER
Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, Wen Xia
2020 — conf
GPU-BTM: A Topic Model for Short Text using Auxiliary Information.
DSC
Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao
2020 C conf
PRTransE: Emphasize More Important Facts Based on Pagerank for Knowledge Graph Completion.
ICCC
Zhongwen Li, Bin Zhang, Yang Liu, Qing Liao
2020 A conf
Robust Normalized Squares Maximization for Unsupervised Domain Adaptation.
CIKM
Wenju Zhang, Xiang Zhang, Qing Liao, Wenjing Yang, Long Lan, Zhigang Luo
2020 J jnl
Robust Similarity-Based Concept Factorization for Data Representation.
IEEE Access
Xingyu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo
2019 — conf
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
HPCC/SmartCity/DSS
Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao
2019 J jnl
Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint.
IEEE Access
Xingyu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo
2019 — conf
Bi-directional Features Reuse Network for Salient Object Detection.
PRICAI (3)
Fengwei Jia, Xuan Wang, Jian Guan, Shuhan Qi, Qing Liao, Huale Li
2019 J jnl
Decentralized Markov Chain Gradient Descent.
CoRR
Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li
2019 — conf
Differentially Private Convolutional Neural Networks with Adaptive Gradient Descent.
DSC
Xixi Huang, Jian Guan, Bin Zhang, Shuhan Qi, Xuan Wang, Qing Liao
2019 A* conf
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme.
NeurIPS
Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao
2019 J jnl
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme.
CoRR
Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao
2019 J jnl
HashEclat: an efficient frequent itemset algorithm.
Int. J. Mach. Learn. Cybern.
Chunkai Zhang, Panbo Tian, Xudong Zhang, Qing Liao, Zoe Lin Jiang, Xuan Wang
2019 C conf
Learning Contextual Features with Multi-head Self-attention for Fake News Detection.
ICCC
Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao
2019 — conf
Multi-depth Graph Convolutional Networks for Fake News Detection.
NLPCC (1)
Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao
2019 J jnl
Multi-task deep convolutional neural network for cancer diagnosis.
Neurocomputing
Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang
2019 — conf
Protein Remote Homology Detection Based on Profiles.
IWBBIO (1)
Qing Liao, Mingyue Guo, Bin Liu
2019 C conf
Structural-Based Graph Publishing Under Differential Privacy.
ICCC
Yiping Yin, Qing Liao, Yang Liu, Ruifeng Xu
2019 J jnl
iEsGene-ZCPseKNC: Identify Essential Genes Based on Z Curve Pseudo $k$ -Tuple Nucleotide Composition.
IEEE Access
Jiahai Chen, Yongmin Liu, Qing Liao, Bin Liu
2019 J jnl
iRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning.
IEEE Access
Xin Gao, Donghua Wang, Jun Zhang, Qing Liao, Bin Liu
2018 J jnl
Diverse Mobile System for Location-Based Mobile Data.
Wirel. Commun. Mob. Comput.
Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding
2018 — conf
File Fragment Classification Using Grayscale Image Conversion and Deep Learning in Digital Forensics.
IEEE Symposium on Security and Privacy Workshops
Qian Chen, Qing Liao, Zoe Lin Jiang, Junbin Fang, Siu-Ming Yiu, Guikai Xi, Rong Li, Zhengzhong Yi, Xuan Wang, Lucas C. K. Hui, Dong Liu, En Zhang
2018 C conf
MisconfDoctor: Diagnosing Misconfiguration via Log-Based Configuration Testing.
QRS
Teng Wang, Xiaodong Liu, Shanshan Li, Xiangke Liao, Wang Li, Qing Liao
2018 C conf
NotOnlyLog: Mining Patch-Log Associations from Software Evolution History to Enhance Failure Diagnosis Capability.
APSEC
Shuqi Chi, Shanshan Li, Yong Guo, Wei Dong, Zhouyang Jia, Haochen He, Qing Liao
2017 — conf
A novel privacy-preserving distributed anomaly detection method.
SPAC
Chunkai Zhang, Haodong Liu, Ye Li, Ao Yin, Zoe Lin Jiang, Qing Liao, Xuan Wang
2017 — conf
Cancer classification with multi-task deep learning.
SPAC
Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding
2017 — conf
EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling.
SPAC
Chunkai Zhang, Jianwei Guo, Changqing Qi, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang
2017 — conf
Feature selection for high dimensional imbalanced class data based on F-measure optimization.
SPAC
Chunkai Zhang, Guoquan Wang, Ying Zhou, Lin Yao, Zoe Lin Jiang, Qing Liao, Xuan Wang
2017 — conf
Mining inter-transaction association rules from multiple time-series data.
SPAC
Chunkai Zhang, Xudong Zhang, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang
2017 — conf
Online discriminant projective non-negative matrix factorization.
SPAC
Xiang Zhang, Qing Liao, Zhigang Luo
2017 — conf
Outsourced Privacy-Preserving C4.5 Algorithm over Arbitrarily Partitioned Databases.
DSC
Ye Li, Zoe Lin Jiang, Xuan Wang, Siu-Ming Yiu, Qing Liao
2016 Misc conf
Gauss-Seidel based non-negative matrix factorization for gene expression clustering.
ICASSP
Qing Liao, Naiyang Guan, Qian Zhang
2016 J jnl
Local coordinate based graph-regularized NMF for image representation.
Signal Process.
Qing Liao, Qian Zhang
2016 — conf
Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion.
PAKDD (1)
Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang
2015 C conf
Local Coordinate Projective Non-negative Matrix Factorization.
ICMLA
Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang
2015 A* conf
Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation.
ICDM
Qing Liao, Naiyang Guan, Qian Zhang
2015 B conf
Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria.
SMC
Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang
2015 — conf
TiSA: Time-dependent social network advertising.
ICC
Wei Wang, Linlin Yang, Qing Liao, Xiang Zhu, Qian Zhang
2014 J jnl
COD: A Cooperative Cell Outage Detection Architecture for Self-Organizing Femtocell Networks.
IEEE Trans. Wirel. Commun.
Wei Wang, Qing Liao, Qian Zhang
2014 — conf
Improved Recommendation System with Friends on SNS.
3PGCIC
Yanxiang Ling, Qing Liao
2013 — conf
An improved parallel K-means clustering algorithm with MapReduce.
ICCT
Qing Liao, Fan Yang, Jingming Zhao
2013 B conf
Analyzing the influential people in Sina Weibo dataset.
GLOBECOM
Qing Liao, Wei Wang, Yi Han, Qian Zhang
2013 — conf
Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization.
ECML/PKDD (2)
Qing Liao, Qian Zhang
2013 — conf
Implementation of K-Means based on improved storm model.
ICCT
Jingling Zhao, Zhaohua Sun, Qing Liao
2012 — conf
A cross-platform context-aware application developing framework for mobile terminals.
CCIS
Pingyi Wang, Jingling Zhao, Qing Liao
2010 — conf
File Sharing System in Wireless Home Environment.
ICEE
Yongjia Liu, Yong Sun, Qing Liao, Xiangming Wen
2008 — conf
A Principal-Agent Perspective on ERP Implementation Decisions: An Empirical Analysis Based on Chinese Listed Companies.
AMCIS
Liyan Wang, Jidong Zhang, Longhua Yang, Qing Liao