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ORCIDQing Liao 0001
廖清
Person information
- unicode name: 廖清
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China
- affiliation (PhD 2016): Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
Other persons with the same name
- Qing Liao 0002 — Shanghai Maritime University, China
- Qing Liao 0003 — Beijing University of Posts and Telecommunications, Beijing, China
- Qing Liao 0004 — Xiangtan University, Xiangtan, Hunan, China
- Qing Liao 0005 — Tsinghua University, Department of Microelectronics and Nanoelectronics, Beijing, China
- Qing Liao 0006
![[0009-0007-0896-9886]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0007-0896-9886")
— Wuhan Institute of Technology, Hubei Key Laboratory of Optical Information and Pattern Recognition, China - Qing Liao 0007 — Xihua University, School of Electrical Engineering and Electronic Information, Chengdu, China
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2020 – today
- 2024
[j58]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai, Kunlun He:
RARE: Robust Masked Graph Autoencoder. IEEE Trans. Knowl. Data Eng. 36(10): 5340-5353 (2024)- [j57]Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-Class Classification for Unsupervised Time Series Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(11): 5723-5736 (2024) - [j56]Miaomiao Li, Yi Zhang, Chuan Ma, Suyuan Liu, Zhe Liu, Jianping Yin, Xinwang Liu, Qing Liao:
Regularized Simple Multiple Kernel k-Means With Kernel Average Alignment. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15910-15919 (2024) - [j55]Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu:
Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. IEEE Trans. Neural Networks Learn. Syst. 35(11): 16049-16063 (2024) - [j54]Haoliang Tan, Wen Xia, Xiangyu Zou, Cai Deng, Qing Liao, Zhaoquan Gu:
The Design of Fast Delta Encoding for Delta Compression Based Storage Systems. ACM Trans. Storage 20(4): 23:1-23:30 (2024) - [j53]Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao:
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. IEEE Trans. Software Eng. 50(6): 1325-1339 (2024) - [c83]Zhihong Liu, Zezhou Yang, Qing Liao:
Exploration On Prompting LLM With Code-Specific Information For Vulnerability Detection. SSE 2024: 273-281 - [c82]Qiuyu Duan, Zhongyun Hua, Qing Liao, Yushu Zhang, Leo Yu Zhang:
Conditional Backdoor Attack via JPEG Compression. AAAI 2024: 19823-19831 - [c81]Zeyu Liu, Heyan Chai, Qing Liao:
Learning from Easy to Hard: Multi-Task Learning with Data Scheduling. ICASSP 2024: 5905-5909 - [c80]Heyan Chai, Zeyu Liu, Yongxin Tong, Ziyi Yao, Binxing Fang, Qing Liao:
Towards Task-Conflicts Momentum-Calibrated Approach for Multi-task Learning. ICDE 2024: 939-952 - [c79]Jianyang Qin, Yan Jia, Yongxin Tong, Heyan Chai, Ye Ding, Xuan Wang, Binxing Fang, Qing Liao:
MUSE-Net: Disentangling Multi-Periodicity for Traffic Flow Forecasting. ICDE 2024: 1282-1295 - [c78]Jinhao Cui, Heyan Chai, Xu Yang, Ye Ding, Binxing Fang, Qing Liao:
SGCL: Semantic-aware Graph Contrastive Learning with Lipschitz Graph Augmentation. ICDE 2024: 3028-3041 - [c77]Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao:
ReposVul: A Repository-Level High-Quality Vulnerability Dataset. ICSE Companion 2024: 472-483 - [c76]Weiqi Hu, Ye Wang, Yan Jia, Qing Liao, Bin Zhou:
A Multi-modal Prompt Learning Framework for Early Detection of Fake News. ICWSM 2024: 651-662 - [c75]Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao:
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. ISSTA 2024: 274-286 - [c74]Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao:
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling. ECML/PKDD (1) 2024: 350-366 - [c73]Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao:
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. SDM 2024: 535-543 - [c72]Yuanliang Chen, Fuchen Ma, Yuanhang Zhou, Ming Gu, Qing Liao, Yu Jiang:
Chronos: Finding Timeout Bugs in Practical Distributed Systems by Deep-Priority Fuzzing with Transient Delay. SP 2024: 1939-1955 - [c71]Mingzhe Wang, Jie Liang, Chijin Zhou, Zhiyong Wu, Jingzhou Fu, Zhuo Su, Qing Liao, Bin Gu, Bodong Wu, Yu Jiang:
Data Coverage for Guided Fuzzing. USENIX Security Symposium 2024 - [c70]Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu:
APIGen: Generative API Method Recommendation. SANER 2024: 171-182 - [i23]Xin-Cheng Wen, Cuiyun Gao, Xinchen Wang, Ruiqi Wang, Tao Zhang, Qing Liao:
Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning. CoRR abs/2401.08131 (2024) - [i22]Xinchen Wang, Ruida Hu, Cuiyun Gao, Xin-Cheng Wen, Yujia Chen, Qing Liao:
A Repository-Level Dataset For Detecting, Classifying and Repairing Software Vulnerabilities. CoRR abs/2401.13169 (2024) - [i21]Yujia Chen, Cuiyun Gao, Muyijie Zhu, Qing Liao, Yong Wang, Guoai Xu:
APIGen: Generative API Method Recommendation. CoRR abs/2401.15843 (2024) - [i20]Hongyu Zhang, Dongyi Zheng, Lin Zhong, Xu Yang, Jiyuan Feng, Yunqing Feng, Qing Liao:
FedHCDR: Federated Cross-Domain Recommendation with Hypergraph Signal Decoupling. CoRR abs/2403.02630 (2024) - [i19]Xu Yang, Jiyuan Feng, Songyue Guo, Ye Wang, Ye Ding, Binxing Fang, Qing Liao:
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning. CoRR abs/2403.09284 (2024) - [i18]Yujia Chen, Cuiyun Gao, Zezhou Yang, Hongyu Zhang, Qing Liao:
Bridge and Hint: Extending Pre-trained Language Models for Long-Range Code. CoRR abs/2405.11233 (2024) - [i17]Jiyuan Liu, Xinwang Liu, Siqi Wang, Xingchen Hu, Qing Liao, Xinhang Wan, Yi Zhang, Xin Lv, Kunlun He:
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data. CoRR abs/2409.04111 (2024) - 2023
- [j52]Yan Jia, Mengqi Lin, Ye Wang, Jianming Li, Kai Chen, Joanna Siebert, Geordie Z. Zhang, Qing Liao:
Extrapolation over temporal knowledge graph via hyperbolic embedding. CAAI Trans. Intell. Technol. 8(2): 418-429 (2023) - [j51]Chijin Zhou, Quan Zhang, Lihua Guo, Mingzhe Wang, Yu Jiang, Qing Liao, Zhiyong Wu, Shanshan Li, Bin Gu:
Towards Better Semantics Exploration for Browser Fuzzing. Proc. ACM Program. Lang. 7(OOPSLA2): 604-631 (2023) - [j50]Siqi Wang, Yijie Zeng, Guang Yu, Zhen Cheng, Xinwang Liu, Sihang Zhou, En Zhu, Marius Kloft, Jianping Yin, Qing Liao:
E$^{3}$3Outlier: a Self-Supervised Framework for Unsupervised Deep Outlier Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2952-2969 (2023) - [j49]Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Qing Liao, Yuanqing Xia:
Contrastive Multi-View Kernel Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9552-9566 (2023) - [j48]Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu:
Unbiased Scene Graph Generation via Two-Stage Causal Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12562-12580 (2023) - [j47]Miaomiao Li, Jingyuan Xia, Huiying Xu, Qing Liao, Xinzhong Zhu, Xinwang Liu:
Localized Incomplete Multiple Kernel k-Means With Matrix-Induced Regularization. IEEE Trans. Cybern. 53(6): 3479-3492 (2023) - [j46]Heyan Chai, Zhe Yin, Ye Ding, Li Liu, Binxing Fang, Qing Liao:
A Model-Agnostic Approach to Mitigate Gradient Interference for Multi-Task Learning. IEEE Trans. Cybern. 53(12): 7810-7823 (2023) - [j45]Zhenyu Zhou, Lei Luo, Qing Liao, Xinwang Liu, En Zhu:
Improving Embedding Generalization in Few-Shot Learning With Instance Neighbor Constraints. IEEE Trans. Image Process. 32: 5197-5208 (2023) - [j44]Xingchen Hu, Xinwang Liu, Witold Pedrycz, Qing Liao, Yinghua Shen, Yan Li, Siwei Wang:
Multi-View Fuzzy Classification With Subspace Clustering and Information Granules. IEEE Trans. Knowl. Data Eng. 35(11): 11642-11655 (2023) - [j43]Lin Xiao, Wenqian Huang, Xiaopeng Li, Fuchun Sun, Qing Liao, Lei Jia, Jichun Li, Sai Liu:
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation. IEEE Trans. Neural Networks Learn. Syst. 34(12): 9981-9991 (2023) - [j42]Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia:
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(3): 923-937 (2023) - [j41]Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao:
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. IEEE Trans. Reliab. 72(4): 1619-1631 (2023) - [c69]Heyan Chai, Jinhao Cui, Ye Wang, Min Zhang, Binxing Fang, Qing Liao:
Improving Gradient Trade-offs between Tasks in Multi-task Text Classification. ACL (1) 2023: 2565-2579 - [c68]Songyue Guo, Xu Yang, Jiyuan Feng, Ye Ding, Wei Wang, Yunqing Feng, Qing Liao:
FedGR: Federated Learning with Gravitation Regulation for Double Imbalance Distribution. DASFAA (1) 2023: 703-718 - [c67]Xing Gong, Jianyang Qin, Heyan Chai, Ye Ding, Yan Jia, Qing Liao:
Temporal-Relational Matching Network for Few-Shot Temporal Knowledge Graph Completion. DASFAA (2) 2023: 768-783 - [c66]Zhihong Liu, Qing Liao, Wenchao Gu, Cuiyun Gao:
Software Vulnerability Detection with GPT and In-Context Learning. DSC 2023: 229-236 - [c65]Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao:
Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) 2023: 10902-10913 - [c64]Bo Pang, Yongquan Fu, Siyuan Ren, Siqi Shen, Ye Wang, Qing Liao, Yan Jia:
A Multi-Modal Approach For Context-Aware Network Traffic Classification. ICASSP 2023: 1-5 - [c63]Mingyu Shao, Li Lu, Ye Ding, Qing Liao:
Minimising Distortion for GAN-Based Facial Attribute Manipulation. ICASSP 2023: 1-5 - [c62]Xing Gong, Jianyang Qin, Ye Ding, Yan Jia, Qing Liao:
Adaptive Multi-hop Neighbor Selection for Few-Shot Knowledge Graph Completion. ICONIP (11) 2023: 153-164 - [c61]Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. ICSE 2023: 2275-2286 - [c60]Jinhao Cui, Heyan Chai, Yanbin Gong, Ye Ding, Zhongyun Hua, Cuiyun Gao, Qing Liao:
MocGCL: Molecular Graph Contrastive Learning via Negative Selection. IJCNN 2023: 1-8 - [c59]Ye Ding, Li Lu, Ziyuan Liu, Songjie Wu, Qing Liao:
FAU-Gaze: Fast and Accurate User-specific Gaze Estimation Framework. IJCNN 2023: 1-8 - [c58]Teng Wang, Haochen He, Xiaodong Liu, Shanshan Li, Zhouyang Jia, Yu Jiang, Qing Liao, Wang Li:
ConfTainter: Static Taint Analysis For Configuration Options. ASE 2023: 1640-1651 - [c57]Ziyi Yao, Heyan Chai, Jinhao Cui, Siyu Tang, Qing Liao:
HITSZQ at SemEval-2023 Task 10: Category-aware Sexism Detection Model with Self-training Strategy. SemEval@ACL 2023: 934-940 - [i16]Xin-Cheng Wen, Yupan Chen, Cuiyun Gao, Hongyu Zhang, Jie M. Zhang, Qing Liao:
Vulnerability Detection with Graph Simplification and Enhanced Graph Representation Learning. CoRR abs/2302.04675 (2023) - [i15]Wenxuan Tu, Qing Liao, Sihang Zhou, Xin Peng, Chuan Ma, Zhe Liu, Xinwang Liu, Zhiping Cai:
RARE: Robust Masked Graph Autoencoder. CoRR abs/2304.01507 (2023) - [i14]Yuchen Sun, Tianpeng Liu, Panhe Hu, Qing Liao, Shouling Ji, Nenghai Yu, Deke Guo, Li Liu:
Deep Intellectual Property: A Survey. CoRR abs/2304.14613 (2023) - [i13]Xin-Cheng Wen, Cuiyun Gao, Feng Luo, Haoyu Wang, Ge Li, Qing Liao:
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability Types. CoRR abs/2306.06935 (2023) - [i12]Yi Wen, Siwei Wang, Qing Liao, Weixuan Liang, Ke Liang, Xinhang Wan, Xinwang Liu:
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching. CoRR abs/2307.03476 (2023) - [i11]Shuzhou Sun, Shuaifeng Zhi, Qing Liao, Janne Heikkilä, Li Liu:
Unbiased Scene Graph Generation via Two-stage Causal Modeling. CoRR abs/2307.05276 (2023) - [i10]Hongyu Zhang, Dongyi Zheng, Xu Yang, Jiyuan Feng, Qing Liao:
FedDCSR: Federated Cross-domain Sequential Recommendation via Disentangled Representation Learning. CoRR abs/2309.08420 (2023) - 2022
- [j40]Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu:
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification. Pattern Recognit. 122: 108296 (2022) - [j39]Mingxing Duan, Kenli Li, Qing Liao, Qi Tian:
DEF-Net: A Face Aging Model by Using Different Emotional Learnings. IEEE Trans. Circuits Syst. Video Technol. 32(5): 3012-3022 (2022) - [j38]Laifa Ma, Guanghua Tan, Hongxia Luo, Qing Liao, Shengli Li, Kenli Li:
A Novel Deep Learning Framework for Automatic Recognition of Thyroid Gland and Tissues of Neck in Ultrasound Image. IEEE Trans. Circuits Syst. Video Technol. 32(9): 6113-6124 (2022) - [j37]Yuejie Zeng, Kenli Li, Lin Xiao, Qing Liao:
Design and Analysis of a Novel Integral Design Scheme for Finding Finite-Time Solution of Time-Varying Matrix Inequalities. IEEE Trans. Emerg. Top. Comput. 10(1): 267-279 (2022) - [j36]Jiyuan Liu, Xinwang Liu, Jian Xiong, Qing Liao, Sihang Zhou, Siwei Wang, Yuexiang Yang:
Optimal Neighborhood Multiple Kernel Clustering With Adaptive Local Kernels. IEEE Trans. Knowl. Data Eng. 34(6): 2872-2885 (2022) - [j35]Qing Liao, Heyan Chai, Hao Han, Xiang Zhang, Xuan Wang, Wen Xia, Ye Ding:
An Integrated Multi-Task Model for Fake News Detection. IEEE Trans. Knowl. Data Eng. 34(11): 5154-5165 (2022) - [j34]Wanxia Deng, Lingjun Zhao, Qing Liao, Deke Guo, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu:
Informative Feature Disentanglement for Unsupervised Domain Adaptation. IEEE Trans. Multim. 24: 2407-2421 (2022) - [j33]Lin Xiao, Lei Jia, Yaonan Wang, Jianhua Dai, Qing Liao, Quanxin Zhu:
Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6665-6676 (2022) - [j32]Maojun Zhang, Guangxu Zhu, Shuai Wang, Jiamo Jiang, Qing Liao, Caijun Zhong, Shuguang Cui:
Communication-Efficient Federated Edge Learning via Optimal Probabilistic Device Scheduling. IEEE Trans. Wirel. Commun. 21(10): 8536-8551 (2022) - [c56]Wei Liu, Yutao Huang, Yibing Guo, Ye Wang, Binxing Fang, Qing Liao:
Topic Modeling for Short Texts Via Dual View Collaborate optimization. DSC 2022: 160-166 - [c55]Heyan Chai, Siyu Tang, Jinhao Cui, Ye Ding, Binxing Fang, Qing Liao:
Improving Multi-task Stance Detection with Multi-task Interaction Network. EMNLP 2022: 2990-3000 - [c54]Siyu Tang, Heyan Chai, Ziyi Yao, Ye Ding, Cuiyun Gao, Binxing Fang, Qing Liao:
Affective Knowledge Enhanced Multiple-Graph Fusion Networks for Aspect-based Sentiment Analysis. EMNLP 2022: 5352-5362 - [c53]Heyan Chai, Weijun Su, Siyu Tang, Ye Ding, Binxing Fang, Qing Liao:
Improving Anomaly Detection with a Self-Supervised Task Based on Generative Adversarial Network. ICASSP 2022: 3563-3567 - [c52]Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao:
Multi-Intention-Aware Configuration Selection for Performance Tuning. ICSE 2022: 1431-1442 - [c51]Yutao Huang, Ye Wang, Qing Liao, Yan Jia, Yongquan Fu:
Multi-Semantics Learning for Social Event Detection via Heterogeneous GNNs. IJCNN 2022: 1-9 - [c50]Chenlin Huang, Keming Wang, Yun Li, Jiajian Li, Qing Liao:
ASPGen-D: Automatically Generating Fine-grained Apparmor Policies for Docker. ISPA/BDCloud/SocialCom/SustainCom 2022: 822-829 - [i9]Wenju Zhang, Xiang Zhang, Qing Liao, Long Lan, Mengzhu Wang, Wei Wang, Baoyun Peng, Zhengming Ding:
On the Equity of Nuclear Norm Maximization in Unsupervised Domain Adaptation. CoRR abs/2204.05596 (2022) - [i8]Hongzuo Xu, Yijie Wang, Songlei Jian, Qing Liao, Yongjun Wang, Guansong Pang:
Calibrated One-class Classification for Unsupervised Time Series Anomaly Detection. CoRR abs/2207.12201 (2022) - [i7]Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, Irwin King:
Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. CoRR abs/2209.13973 (2022) - [i6]Cuiyun Gao, Yaoxian Li, Shuhan Qi, Yang Liu, Xuan Wang, Zibin Zheng, Qing Liao:
Listening to Users' Voice: Automatic Summarization of Helpful App Reviews. CoRR abs/2210.06235 (2022) - 2021
- [j31]Zhourun Wu, Qing Liao, Bin Liu:
idenPC-MIIP: identify protein complexes from weighted PPI networks using mutual important interacting partner relation. Briefings Bioinform. 22(2): 1972-1983 (2021) - [j30]Xiaopeng Jin, Qing Liao, Bin Liu:
PL-search: a profile-link-based search method for protein remote homology detection. Briefings Bioinform. 22(3) (2021) - [j29]Zhourun Wu, Qing Liao, Shixi Fan, Bin Liu:
idenPC-CAP: Identify protein complexes from weighted RNA-protein heterogeneous interaction networks using co-assemble partner relation. Briefings Bioinform. 22(4) (2021) - [j28]Xiaopeng Jin, Qing Liao, Hang Wei, Jun Zhang, Bin Liu:
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection. Bioinform. 37(7): 913-920 (2021) - [j27]Xiaopeng Jin, Qing Liao, Bin Liu:
S2L-PSIBLAST: a supervised two-layer search framework based on PSI-BLAST for protein remote homology detection. Bioinform. 37(23): 4321-4327 (2021) - [j26]Junyi Li, Huinian Li, Xiao Ye, Li Zhang, Qingzhe Xu, Yuan Ping, Xiaozhu Jing, Wei Jiang, Qing Liao, Bo Liu, Yadong Wang:
IIMLP: integrated information-entropy-based method for LncRNA prediction. BMC Bioinform. 22-S(3): 243 (2021) - [j25]Zerui Li, Yuchen Tian, Weizhe Zhang, Qing Liao, Yang Liu, Xiaojiang Du, Mohsen Guizani:
RR-LADP: A Privacy-Enhanced Federated Learning Scheme for Internet of Everything. IEEE Consumer Electron. Mag. 10(5): 93-101 (2021) - [j24]Ye Ding, Xibo Zhou, Qing Liao, Haoyu Tan, Qiong Luo, Lionel M. Ni:
iMatching: An interactive map-matching system. Neurocomputing 444: 126-135 (2021) - [j23]Chenglong Zhou, Haoran Liu, Yuanliang Zhang, Zhipeng Xue, Qing Liao, JinJing Zhao, Ji Wang:
Deep Understanding of Runtime Configuration Intention. Int. J. Softw. Eng. Knowl. Eng. 31(6): 775-802 (2021) - [j22]Ye Ding, Wenyi Zhang, Xibo Zhou, Qing Liao, Qiong Luo, Lionel M. Ni:
FraudTrip: Taxi Fraudulent Trip Detection From Corresponding Trajectories. IEEE Internet Things J. 8(16): 12505-12517 (2021) - [j21]Jianhua Dai, Yiwei Li, Lin Xiao, Lei Jia, Qing Liao, Jichun Li:
Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations. Inf. Sci. 561: 101-114 (2021) - [j20]Yifan Li, Xuan Wang, Shuhan Qi, Chengkai Huang, Zoe Lin Jiang, Qing Liao, Jian Guan, Jiajia Zhang:
Self-supervised learning-based weight adaptive hashing for fast cross-modal retrieval. Signal Image Video Process. 15(4): 673-680 (2021) - [j19]Hang Wei, Qing Liao, Bin Liu:
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network. IEEE ACM Trans. Comput. Biol. Bioinform. 18(5): 1946-1957 (2021) - [j18]Tao Sun, Linbo Qiao, Qing Liao, Dong Sheng Li:
Novel Convergence Results of Adaptive Stochastic Gradient Descents. IEEE Trans. Image Process. 30: 1044-1056 (2021) - [j17]Wanxia Deng, Qing Liao, Lingjun Zhao, Deke Guo, Gangyao Kuang, Dewen Hu, Li Liu:
Joint Clustering and Discriminative Feature Alignment for Unsupervised Domain Adaptation. IEEE Trans. Image Process. 30: 7842-7855 (2021) - [c49]Jun Rao, Tao Qian, Shuhan Qi, Yulin Wu, Qing Liao, Xuan Wang:
Student Can Also be a Good Teacher: Extracting Knowledge from Vision-and-Language Model for Cross-Modal Retrieval. CIKM 2021: 3383-3387 - [c48]Mengqi Lin, Qing Liao, Yan Jia, Ye Wang:
Survey on Knowledge Graph Embedding Based on Hyperbolic Geometry. DSC 2021: 152-158 - [c47]Yutao Huang, Qing Liao, Yan Jia, Ye Wang:
Survey on social event detection. DSC 2021: 159-165 - [c46]Chong Mo, Ye Wang, Yan Jia, Qing Liao:
Survey on Temporal Knowledge Graph. DSC 2021: 294-300 - [c45]Chenlin Huang, Yusong Tan, Guoyun Duan, Zhiwen Chen, Boyang Zhang, Peiyao Deng, Qianxiang Zhang, Jianhua Sun, Hao Chen, Guoqing Xiao, Qing Liao:
A Coverage-Guided Fuzzing Framework for Trusted Execution Environments. HPCC/DSS/SmartCity/DependSys 2021: 775-782 - [c44]Yangqian Wang, Yuanfeng Song, Di Jiang, Ye Ding, Xuan Wang, Yang Liu, Qing Liao:
FedSP: Federated Speaker Verification with Personal Privacy Preservation. ICA3PP (3) 2021: 462-478 - [c43]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. ICCV 2021: 5097-5107 - [c42]Xinwang Liu, Li Liu, Qing Liao, Siwei Wang, Yi Zhang, Wenxuan Tu, Chang Tang, Jiyuan Liu, En Zhu:
One Pass Late Fusion Multi-view Clustering. ICML 2021: 6850-6859 - [c41]Xurui Ma, Zhigang Luo, Xiang Zhang, Qing Liao, Xingyu Shen, Mengzhu Wang:
Spatio-Temporal Action Detector with Self-Attention. IJCNN 2021: 1-8 - [c40]Xinxin Liao, Mingyan Wu, Heyan Chai, Shuhan Qi, Xuan Wang, Qing Liao:
Fine-Grained Unbalanced Interaction Network for Visual Question Answering. KSEM 2021: 85-97 - [c39]Mingyan Wu, Shuhan Qi, Jun Rao, Jiajia Zhang, Qing Liao, Xuan Wang, Xinxin Liao:
Hierarchical Semantic Enhanced Directional Graph Network for Visual Commonsense Reasoning. Trustworthy AI @ ACM Multimedia 2021: 27-36 - [c38]Deze Wang, Yue Yu, Shanshan Li, Wei Dong, Ji Wang, Qing Liao:
MulCode: A Multi-task Learning Approach for Source Code Understanding. SANER 2021: 48-59 - [i5]Siqi Wang, Guang Yu, Zhiping Cai, Xinwang Liu, En Zhu, Jianping Yin, Qing Liao:
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests. CoRR abs/2108.02356 (2021) - [i4]Zhuo Su, Wenzhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu:
Pixel Difference Networks for Efficient Edge Detection. CoRR abs/2108.07009 (2021) - [i3]Bo Pang, Yongquan Fu, Siyuan Ren, Ye Wang, Qing Liao, Yan Jia:
CGNN: Traffic Classification with Graph Neural Network. CoRR abs/2110.09726 (2021) - 2020
- [j16]Tuo Wang, Xiang Zhang, Long Lan, Qing Liao, Chuanfu Xu, Zhigang Luo:
Correlation Self-Expression Shrunk for Subspace Clustering. IEEE Access 8: 16595-16605 (2020) - [j15]Xingyu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo:
Robust Similarity-Based Concept Factorization for Data Representation. IEEE Access 8: 81394-81411 (2020) - [j14]Zhourun Wu, Qing Liao, Bin Liu:
A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks. Briefings Bioinform. 21(5): 1531-1548 (2020) - [j13]Fengwei Jia, Xuan Wang, Jian Guan, Qing Liao, Jiajia Zhang, Huale Li, Shuhan Qi:
Bi-Connect Net for salient object detection. Neurocomputing 384: 142-155 (2020) - [j12]Chengkai Huang, Xuan Luo, Jiajia Zhang, Qing Liao, Xuan Wang, Zoe Lin Jiang, Shuhan Qi:
Explore instance similarity: An instance correlation based hashing method for multi-label cross-model retrieval. Inf. Process. Manag. 57(2): 102165 (2020) - [j11]Longlong Liao, ZhiBang Yang, Qing Liao, Kenli Li, Keqin Li, Jie Liu, Qi Tian:
A half-precision compressive sensing framework for end-to-end person re-identification. Neural Comput. Appl. 32(4): 1141-1155 (2020) - [j10]Ahmad Salah, Kenli Li, Qing Liao, Mervat Hashem, Zhiyong Li, Anthony T. Chronopoulos, Albert Y. Zomaya:
A Time-space Efficient Algorithm for Parallel k-way In-place Merging based on Sequence Partitioning and Perfect Shuffle. ACM Trans. Parallel Comput. 7(2): 11:1-11:23 (2020) - [j9]Xixi Huang, Ye Ding, Zoe Lin Jiang, Shuhan Qi, Xuan Wang, Qing Liao:
DP-FL: a novel differentially private federated learning framework for the unbalanced data. World Wide Web 23(4): 2529-2545 (2020) - [c37]Wenju Zhang, Xiang Zhang, Qing Liao, Wenjing Yang, Long Lan, Zhigang Luo:
Robust Normalized Squares Maximization for Unsupervised Domain Adaptation. CIKM 2020: 2317-2320 - [c36]Haoliang Tan, Zhiyuan Zhang, Xiangyu Zou, Qing Liao, Wen Xia:
Exploring the Potential of Fast Delta Encoding: Marching to a Higher Compression Ratio. CLUSTER 2020: 198-208 - [c35]Yibing Guo, Yutao Huang, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao:
GPU-BTM: A Topic Model for Short Text using Auxiliary Information. DSC 2020: 198-205 - [c34]Zhongwen Li, Bin Zhang, Yang Liu, Qing Liao:
PRTransE: Emphasize More Important Facts Based on Pagerank for Knowledge Graph Completion. ICCC 2020: 15-26 - [c33]Jian Guan, Liming Yin, Jianguo Sun, Shuhan Qi, Xuan Wang, Qing Liao:
Enhanced Gaze Following via Object Detection and Human Pose Estimation. MMM (2) 2020: 502-513
2010 – 2019
- 2019
- [j8]Xingyu Shen, Xiang Zhang, Long Lan, Qing Liao, Zhigang Luo:
Another Robust NMF: Rethinking the Hyperbolic Tangent Function and Locality Constraint. IEEE Access 7: 31089-31102 (2019) - [j7]Jiahai Chen, Yongmin Liu, Qing Liao, Bin Liu:
iEsGene-ZCPseKNC: Identify Essential Genes Based on Z Curve Pseudo $k$ -Tuple Nucleotide Composition. IEEE Access 7: 165241-165247 (2019) - [j6]Xin Gao, Donghua Wang, Jun Zhang, Qing Liao, Bin Liu:
iRBP-Motif-PSSM: Identification of RNA-Binding Proteins Based on Collaborative Learning. IEEE Access 7: 168956-168962 (2019) - [j5]Qing Liao, Ye Ding, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Qian Zhang:
Multi-task deep convolutional neural network for cancer diagnosis. Neurocomputing 348: 66-73 (2019) - [j4]Chunkai Zhang, Panbo Tian, Xudong Zhang, Qing Liao, Zoe Lin Jiang, Xuan Wang:
HashEclat: an efficient frequent itemset algorithm. Int. J. Mach. Learn. Cybern. 10(11): 3003-3016 (2019) - [c32]Xixi Huang, Jian Guan, Bin Zhang, Shuhan Qi, Xuan Wang, Qing Liao:
Differentially Private Convolutional Neural Networks with Adaptive Gradient Descent. DSC 2019: 642-648 - [c31]Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao:
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. HPCC/SmartCity/DSS 2019: 1791-1797 - [c30]Yiping Yin, Qing Liao, Yang Liu, Ruifeng Xu:
Structural-Based Graph Publishing Under Differential Privacy. ICCC 2019: 67-78 - [c29]Yangqian Wang, Hao Han, Ye Ding, Xuan Wang, Qing Liao:
Learning Contextual Features with Multi-head Self-attention for Fake News Detection. ICCC 2019: 132-142 - [c28]Qing Liao, Mingyue Guo, Bin Liu:
Protein Remote Homology Detection Based on Profiles. IWBBIO (1) 2019: 261-268 - [c27]Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao:
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. NeurIPS 2019: 994-1004 - [c26]Guoyong Hu, Ye Ding, Shuhan Qi, Xuan Wang, Qing Liao:
Multi-depth Graph Convolutional Networks for Fake News Detection. NLPCC (1) 2019: 698-710 - [c25]Fengwei Jia, Xuan Wang, Jian Guan, Shuhan Qi, Qing Liao, Huale Li:
Bi-directional Features Reuse Network for Salient Object Detection. PRICAI (3) 2019: 29-41 - [i2]Tao Sun, Tianyi Chen, Yuejiao Sun, Qing Liao, Dongsheng Li:
Decentralized Markov Chain Gradient Descent. CoRR abs/1909.10238 (2019) - [i1]Tao Sun, Yuejiao Sun, Dongsheng Li, Qing Liao:
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme. CoRR abs/1910.05093 (2019) - 2018
- [j3]Qing Liao, Haoyu Tan, Wuman Luo, Ye Ding:
Diverse Mobile System for Location-Based Mobile Data. Wirel. Commun. Mob. Comput. 2018: 4217432:1-4217432:17 (2018) - [c24]Shuqi Chi, Shanshan Li, Yong Guo, Wei Dong, Zhouyang Jia, Haochen He, Qing Liao:
NotOnlyLog: Mining Patch-Log Associations from Software Evolution History to Enhance Failure Diagnosis Capability. APSEC 2018: 189-198 - [c23]Teng Wang, Xiaodong Liu, Shanshan Li, Xiangke Liao, Wang Li, Qing Liao:
MisconfDoctor: Diagnosing Misconfiguration via Log-Based Configuration Testing. QRS 2018: 1-12 - [c22]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:
File Fragment Classification Using Grayscale Image Conversion and Deep Learning in Digital Forensics. IEEE Symposium on Security and Privacy Workshops 2018: 140-147 - 2017
- [c21]Ye Li, Zoe Lin Jiang, Xuan Wang, Siu-Ming Yiu, Qing Liao:
Outsourced Privacy-Preserving C4.5 Algorithm over Arbitrarily Partitioned Databases. DSC 2017: 124-132 - [c20]Qing Liao, Zoe Lin Jiang, Xuan Wang, Chunkai Zhang, Ye Ding:
Cancer classification with multi-task deep learning. SPAC 2017: 76-81 - [c19]Chunkai Zhang, Jianwei Guo, Changqing Qi, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang:
EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling. SPAC 2017: 118-123 - [c18]Chunkai Zhang, Xudong Zhang, Zoe Lin Jiang, Qing Liao, Lin Yao, Xuan Wang:
Mining inter-transaction association rules from multiple time-series data. SPAC 2017: 158-163 - [c17]Chunkai Zhang, Guoquan Wang, Ying Zhou, Lin Yao, Zoe Lin Jiang, Qing Liao, Xuan Wang:
Feature selection for high dimensional imbalanced class data based on F-measure optimization. SPAC 2017: 278-283 - [c16]Chunkai Zhang, Haodong Liu, Ye Li, Ao Yin, Zoe Lin Jiang, Qing Liao, Xuan Wang:
A novel privacy-preserving distributed anomaly detection method. SPAC 2017: 463-468 - [c15]Xiang Zhang, Qing Liao, Zhigang Luo:
Online discriminant projective non-negative matrix factorization. SPAC 2017: 537-542 - 2016
- [j2]Qing Liao, Qian Zhang:
Local coordinate based graph-regularized NMF for image representation. Signal Process. 124: 103-114 (2016) - [c14]Qing Liao, Naiyang Guan, Qian Zhang:
Gauss-Seidel based non-negative matrix factorization for gene expression clustering. ICASSP 2016: 2364-2368 - [c13]Qing Liao, Naiyang Guan, Chengkun Wu, Qian Zhang:
Predicting Unknown Interactions Between Known Drugs and Targets via Matrix Completion. PAKDD (1) 2016: 591-604 - 2015
- [c12]Wei Wang, Linlin Yang, Qing Liao, Xiang Zhu, Qian Zhang:
TiSA: Time-dependent social network advertising. ICC 2015: 1188-1193 - [c11]Qing Liao, Naiyang Guan, Qian Zhang:
Logdet Divergence Based Sparse Non-Negative Matrix Factorization for Stable Representation. ICDM 2015: 871-876 - [c10]Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang:
Local Coordinate Projective Non-negative Matrix Factorization. ICMLA 2015: 604-607 - [c9]Qing Liao, Xiang Zhang, Naiyang Guan, Qian Zhang:
Robust Local Coordinate Non-negative Matrix Factorization via Maximum Correntropy Criteria. SMC 2015: 2204-2209 - 2014
- [j1]Wei Wang, Qing Liao, Qian Zhang:
COD: A Cooperative Cell Outage Detection Architecture for Self-Organizing Femtocell Networks. IEEE Trans. Wirel. Commun. 13(11): 6007-6014 (2014) - [c8]Yanxiang Ling, Qing Liao:
Improved Recommendation System with Friends on SNS. 3PGCIC 2014: 127-133 - 2013
- [c7]Qing Liao, Wei Wang, Yi Han, Qian Zhang:
Analyzing the influential people in Sina Weibo dataset. GLOBECOM 2013: 3066-3071 - [c6]Jingling Zhao, Zhaohua Sun, Qing Liao:
Implementation of K-Means based on improved storm model. ICCT 2013: 728-732 - [c5]Qing Liao, Fan Yang, Jingming Zhao:
An improved parallel K-means clustering algorithm with MapReduce. ICCT 2013: 764-768 - [c4]Qing Liao, Qian Zhang:
Efficient Rank-one Residue Approximation Method for Graph Regularized Non-negative Matrix Factorization. ECML/PKDD (2) 2013: 242-255 - 2012
- [c3]Pingyi Wang, Jingling Zhao, Qing Liao:
A cross-platform context-aware application developing framework for mobile terminals. CCIS 2012: 1272-1276 - 2010
- [c2]Yongjia Liu, Yong Sun, Qing Liao, Xiangming Wen:
File Sharing System in Wireless Home Environment. ICEE 2010: 2343-2346
2000 – 2009
- 2008
- [c1]Liyan Wang, Jidong Zhang, Longhua Yang, Qing Liao:
A Principal-Agent Perspective on ERP Implementation Decisions: An Empirical Analysis Based on Chinese Listed Companies. AMCIS 2008: 360
Coauthor Index
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