Research and Design of Internet Public Opinion Analysis System. - Quanlong Guan; Saizhi Ye; Guoxiang Yao; Huanming Zhang; Linfeng Wei; Gazi Song; Kejing He (SSME, 2009)

Test Model for Security Vulnerability in Web Controls based on Fuzzing. - Guoxiang Yao; Quanlong Guan; Kaibin Ni (J. Softw., 2012)

Research on QoS Routing in the Internet. - Jiandan Yang; Quanlong Guan (HPCC/EUC, 2013)

Multi-objective software assignment for active cyber defense. - Chu Huang; Sencun Zhu; Quanlong Guan (CNS, 2015)

Semantics-Based Repackaging Detection for Mobile Apps. - Quanlong Guan; Heqing Huang 001; Weiqi Luo 002; Sencun Zhu (ESSoS, 2016)

TCon: A Transparent Congestion Control Deployment Platform for Optimizing WAN Transfers. - Yuxiang Zhang 007; Lin Cui 001; Fung Po Tso 001; Quanlong Guan; Weijia Jia 001 (NPC, 2017)

SweetDroid: Toward a Context-Sensitive Privacy Policy Enforcement Framework for Android OS. - Xin Chen; Heqing Huang 001; Sencun Zhu; Qing Li 063; Quanlong Guan (WPES@CCS, 2017)

A software assignment algorithm for minimizing worm damage in networked systems. - Chu Huang; Sencun Zhu; Quanlong Guan; Yongzhong He (J. Inf. Secur. Appl., 2017)

A Fine-grained and Transparent Congestion Control Enforcement Scheme. - Yuxiang Zhang 007; Lin Cui 001; Fung Po Tso 001; Quanlong Guan; Weijia Jia 001; Jipeng Zhou (ANRW, 2018)

A Privacy-Preserving Classifier in Statistic Pattern Recognition. - Qi Wang; Dehua Zhou; Quanlong Guan; Yanling Li; Jimian Yang (ICCCS (2), 2018)

Minimum Migration Time Selection Algorithm for Container Consolidation. - Chao Chen; Kejing He; Quanlong Guan (ICIA, 2018)

Privacy Preserving Computations over Healthcare Data. - Qi Wang; Dehua Zhou; Shiyin Yang; Peng Li; Chuansheng Wang; Quanlong Guan (iThings/GreenCom/CPSCom/SmartData, 2019)

Extensive evaluation on the performance and behaviour of TCP congestion control protocols under varied network scenarios. - Jinting Lin; Lin Cui 001; Yuxiang Zhang 007; Fung Po Tso 001; Quanlong Guan (Comput. Networks, 2019)

Mystique: A Fine-Grained and Transparent Congestion Control Enforcement Scheme. - Yuxiang Zhang 007; Lin Cui 001; Fung Po Tso 001; Quanlong Guan; Weijia Jia 001; Jipeng Zhou (IEEE Trans. Netw. Serv. Manag., 2019)

Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams. - Xuanxiang Huang; Haipeng Che; Liangda Fang; Qingliang Chen; Quanlong Guan; Yuhui Deng; Kaile Su (ICCAD, 2020)

Students' experience of online learning during the COVID-19 pandemic: A province-wide survey study. - Lixiang Yan; Alexander Whitelock-Wainwright; Quanlong Guan; Gangxin Wen; Dragan Gasevic; Guanliang Chen (Br. J. Educ. Technol., 2021)

Efficient reliability analysis of dynamic k-out-of-n phase-AND mission systems. - Chaonan Wang; Yuliang Hu; Liudong Xing; Quanlong Guan; Chunhui Yang; Min Yu (Qual. Reliab. Eng. Int., 2021)

A Fast and Accurate Reliability Approximation Method for Heterogeneous Cold Standby Sparing Systems. - Chaonan Wang; Xiaolei Wang; Liudong Xing; Quanlong Guan; Chunhui Yang; Min Yu (Reliab. Eng. Syst. Saf., 2021)

A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform. - Heqing Huang 001; Cong Zheng; Junyuan Zeng; Wu Zhou; Sencun Zhu; Peng Liu 005; Ian M. Molloy; Suresh Chari; Ce Zhang 001; Quanlong Guan (IEEE Trans. Big Data, 2021)

Knowledge Compilation Meets Logical Separability. - Junming Qiu; Wenqing Li; Zhanhao Xiao; Quanlong Guan; Liangda Fang; Zhao-Rong Lai; Qian Dong (AAAI, 2022)

Cognitive Diagnosis Focusing on Knowledge Components. - Sheng Li; Zhenyu He 003; Quanlong Guan; Yizhou He; Liangda Fang; Weiqi Luo 002; Xingyu Zhu 011 (AIED (2), 2022)

Generalized Linear Integer Numeric Planning. - Xiaoyou Lin; Qingliang Chen; Liangda Fang; Quanlong Guan; Weiqi Luo 002; Kaile Su (ICAPS, 2022)

Knowledge Tracing Model with Learning and Forgetting Behavior. - Mingzhi Chen; Quanlong Guan; Yizhou He; Zhenyu He 003; Liangda Fang; Weiqi Luo 002 (CIKM, 2022)

Cognitive Diagnosis Focusing on Knowledge Concepts. - Sheng Li; Quanlong Guan; Liangda Fang; Fang Xiao; Zhenyu He 003; Yizhou He; Weiqi Luo 002 (CIKM, 2022)

LDGC-SR: Integrating long-range dependencies and global context information for session-based recommendation. - Nan Qiu; Boyu Gao 003; Huawei Tu; Feiran Huang; Quanlong Guan; Weiqi Luo 002 (Knowl. Based Syst., 2022)

Molecular substructure graph attention network for molecular property identification in drug discovery. - Xianbin Ye; Quanlong Guan; Weiqi Luo 002; Liangda Fang; Zhao-Rong Lai; Jun Wang 123 (Pattern Recognit., 2022)

Reliability analysis of smart home sensor systems subject to competing failures. - Chaonan Wang; Qiongyang Liu; Liudong Xing; Quanlong Guan; Chunhui Yang; Min Yu (Reliab. Eng. Syst. Saf., 2022)

Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. - Zijie Zeng; Lin Li 039; Quanlong Guan; Dragan Gasevic; Guanliang Chen (AIED, 2023)

KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. - Quanlong Guan; Fang Xiao; Xinghe Cheng; Liangda Fang; Ziliang Chen 001; Guanliang Chen; Weiqi Luo 002 (CIKM, 2023)

A Deep Conditional Generative Approach for Constrained Community Detection. - Chaobo He; Junwei Cheng; Quanlong Guan; Xiang Fei; Hanchao Li; Yong Tang 001 (CIKM, 2023)

An Interpretable Model With Forgetting Matrix For Deep Knowledge Tracing. - Quanlong Guan; Kaiquan Bian; Liangda Fang; Sheng Li; Zhenyu He 003; Hua Zheng; Lusheng Wu; Weiqi Luo 002 (CogSci, 2023)

Self-supervised community detection in multiplex networks with graph convolutional autoencoder. - Xingyu Liu; Junwei Cheng; Hao Cheng; Chaobo He; Qimai Chen; Quanlong Guan (CSCWD, 2023)

A Retrospect to Multi-prompt Learning across Vision and Language. - Ziliang Chen 001; Xin Huang; Quanlong Guan; Liang Lin; Weiqi Luo 002 (ICCV, 2023)

Global research trends of artificial intelligence applied in drug design: A bibliometric analysis based on Vosviewer and Citespace. - Lusheng Wu; Jiaqi Li; Quanlong Guan; Junwei Duan (ISAIMS, 2023)

Efficient Parcel Damage Detection via Faster R-CNN: A Deep Learning Approach for Logistical Parcels' Automated Inspection. - Zhi Chen; Cuifeng Du; Quanlong Guan; Yuyu Zhou; Vichen Hoo; Xiujie Huang; Zhefu Li; Shuanghuan Lv; Xiaofeng Wu; Xiaotian Zhuang (MobiQuitous (2), 2023)

Exploiting the Potential Anomaly Detection in Automobile Safety Data with Multi-type Neural Network. - Quanlong Guan; Tian Zhang; Xiujie Huang; Yuansheng Zhong; Cuifeng Du; Changjiang Liu; Zhefu Li; Guanghui Zhang; Xiaofeng Wu; Zhifei Duan (MobiQuitous (1), 2023)

A Practical Framework of Blockchain in IoT Information Management. - Quanlong Guan; Jiawei Lei; Chaonan Wang; Guanggang Geng; Yuansheng Zhong; Liangda Fang; Xiujie Huang; Weiqi Luo 002 (SMC, 2023)

NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. - Guoxiong Wei; Zhenyu He 003; Quanlong Guan; Liangda Fang; Weiqi Luo 002; Guanliang Chen (SMC, 2023)

BI-FERH: Blockchain-IoT based framework for securing smart hotel. - Quanlong Guan; Jiawei Lei; Chaonan Wang; Guanggang Geng; Yuansheng Zhong; Liangda Fang; Xiujie Huang; Weiqi Luo 002 (Comput. Sci. Inf. Syst., 2023)

An Investigation of Darwiche and Pearl's Postulates for Iterated Belief Update. - Quanlong Guan; Tong Zhu; Liangda Fang; Junming Qiu; Zhao-Rong Lai; Weiqi Luo 002 (CoRR, 2023)

Variants of Tagged Sentential Decision Diagrams. - Deyuan Zhong; Mingwei Zhang; Quanlong Guan; Liangda Fang; Zhao-Rong Lai; Yong Lai 001 (CoRR, 2023)

A Multi-Agent Deep Reinforcement Learning-Based Popular Content Distribution Scheme in Vehicular Networks. - Wenwei Chen; Xiujie Huang; Quanlong Guan; Shancheng Zhao (Entropy, 2023)

Reliability analysis of dynamic voting phased-mission systems. - Chaonan Wang; Liudong Xing; Yujie Su; Quanlong Guan; Bo Tang; Yuliang Hu (Reliab. Eng. Syst. Saf., 2023)

Is the Latest the Greatest? A Comparative Study of Automatic Approaches for Classifying Educational Forum Posts. - Lele Sha; Mladen Rakovic; Jionghao Lin; Quanlong Guan; Alexander Whitelock-Wainwright; Dragan Gasevic; Guanliang Chen (IEEE Trans. Learn. Technol., 2023)

Efficient performability analysis of dynamic multi-state k-out-of-n: G systems. - Chaonan Wang; Shuli Wang; Liudong Xing; Quanlong Guan (Reliab. Eng. Syst. Saf., 2023)

Phase reduction for efficient reliability analysis of dynamic k-out-of-n phased mission systems. - Chaonan Wang; Liudong Xing; Jingui Yu; Quanlong Guan; Chunhui Yang; Min Yu (Reliab. Eng. Syst. Saf., 2023)

Analysis of cascading probabilistic common cause failures. - Chaonan Wang; Yingxi Lie; Liudong Xing; Quanlong Guan; Chunhui Yang; Min Yu (Qual. Reliab. Eng. Int., 2023)

Face2Nodes: Learning facial expression representations with relation-aware dynamic graph convolution networks. - Fan Jiang; Qionghao Huang; Xiaoyong Mei; Quanlong Guan; Yaxin Tu; Weiqi Luo 002; Changqin Huang (Inf. Sci., 2023)

Efficient reliability approximation for large k-out-of-n cold standby systems with position-dependent component lifetime distributions. - Chaonan Wang; Xiaolei Wang; Liudong Xing; Quanlong Guan; Chunhui Yang; Min Yu (Reliab. Eng. Syst. Saf., 2023)

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. - Ziliang Chen 001; Yongsen Zheng; Zhao-Rong Lai; Quanlong Guan; Liang Lin (AAAI, 2024)

Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability. - Kaixun Yang; Mladen Rakovic; Yuyang Li; Quanlong Guan; Dragan Gasevic; Guanliang Chen (AAAI, 2024)

Generalized Strategy Synthesis of Infinite-state Impartial Combinatorial Games via Exact Binary Classification. - Liangda Fang; Meihong Yang; Dingliang Cheng; Yunlai Hao; Quanlong Guan; Liping Xiong (AAMAS, 2024)

YTCNet: A Real-time Algorithm for Parcel Damage Detection with Rich Features and Attention. - Zhi Chen; Cuifeng Du; Yuyu Zhou; Haoxuan Guan; Xiujie Huang; Zhefu Li; Changjiang Liu; Xiaotian Zhuang; Xingyu Zhu 011; Quanlong Guan (CSCWD, 2024)

Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. - Quanlong Guan; Jinneng He; Zhao-Rong Lai; Yuyu Zhou; Quming Jiang; Ziliang Chen 001 (CSCWD, 2024)

Deformation And Penetration Hybrid Detection-Net For Parcels Inspection In Industrial Supply Chain. - Zhi Chen; Cuifeng Du; Xiujie Huang; Zelong Lin; Yuyu Zhou; Quanlong Guan; Zhefu Li; Shuanghuan Lv; Xiaofeng Wu; Xiaotian Zhuang (ICASSP, 2024)

Transformer Model with Multi-Type Classification Decisions for Intrusion Attack Detection of Track Traffic and Vehicle. - Quanlong Guan; Tian Zhang; Yu Qin; Yuyu Zhou; Yangguang Zhu; Yuansheng Zhong; Xiujie Huang; Zhifei Duan; Zhefu Li; Changjiang Liu; Xiaofeng Wu (ICASSP, 2024)

Constructing a Knowledge Graph for the Database Course Group via Deep Learning. - Xianxia Zou; Haodong Lin; JingPing Wu; Cenyu Zheng; Quanlong Guan (ICEIT, 2024)

On the Logic of Theory Change Iteration of KM-Update, Revised. - Liangda Fang; Tong Zhu; Quanlong Guan; Junming Qiu; Zhao-Rong Lai; Weiqi Luo 002; Hai Wan (IJCAI, 2024)

A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs. - Mingwei Zhang; Liangda Fang; Zhenhao Gu; Quanlong Guan; Yong Lai 001 (IJCAI, 2024)

Exact Computation of Network Reliability with Sentential Decision Diagrams. - Delong Li; Jiayu Zeng; Liangda Fang; Chaonan Wang; Lin Cui 001; Quanlong Guan (ISSRE, 2024)

Reason-and-Execute Prompting: Enhancing Multi-Modal Large Language Models for Solving Geometry Questions. - Xiuliang Duan; Dating Tan; Liangda Fang; Yuyu Zhou; Chaobo He; Ziliang Chen 001; Lusheng Wu; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002; Quanlong Guan (ACM Multimedia, 2024)

Joint Optimization of Spectrum and Power for Vehicular Networks: A MAPPO based Deep Reinforcement Learning Approach. - Weiteng Cai; Xiujie Huang; Yuhao Chen; Quanlong Guan (WCNC, 2024)

Boost Social Recommendation via Adaptive Denoising Network. - Xinran Chen; Chaobo He; Quanlong Guan (WWW (Companion Volume), 2024)

Generating Privacy-preserving Educational Data Records with Diffusion Model. - Quanlong Guan; Yanchong Yu; Xiujie Huang; Liangda Fang; Chaobo He; Lusheng Wu; Weiqi Luo 002; Guanliang Chen (WWW (Companion Volume), 2024)

Dictionary Encoding Based on Tagged Sentential Decision Diagrams. - Deyuan Zhong; Liangda Fang; Quanlong Guan (Algorithms, 2024)

Multitrend Conditional Value at Risk for Portfolio Optimization. - Zhao-Rong Lai; Cheng Li 018; Xiaotian Wu; Quanlong Guan; Liangda Fang (IEEE Trans. Neural Networks Learn. Syst., 2024)

On the role of logical separability in knowledge compilation. - Junming Qiu; Wenqing Li; Liangda Fang; Quanlong Guan; Zhanhao Xiao; Zhao-Rong Lai; Qian Dong (Artif. Intell., 2024)

Detecting communities with multiple topics in attributed networks via self-supervised adaptive graph convolutional network. - Chaobo He; Junwei Cheng; Guohua Chen; Quanlong Guan; Xiang Fei; Yong Tang 001 (Inf. Fusion, 2024)

A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus. - Liangda Fang; Xiaoman Wang; Zhang Chen; Kailun Luo; Zhenhe Cui; Quanlong Guan (AAAI, 2025)

KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration. - Quanlong Guan; Xiuliang Duan; Kaiquan Bian; Guanliang Chen; Jianbo Huang; Zhiguo Gong; Liangda Fang (COLING, 2025)

Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. - Ziliang Chen 001; Xin Huang; Xiaoxuan Fan; Keze Wang; Yuyu Zhou; Quanlong Guan; Liang Lin (CVPR, 2025)

Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF. - Liangda Fang; Shikang Chen; Xiaoman Wang; Xiaoyou Lin; Chenyi Zhang 001; Qingliang Chen; Quanlong Guan; Kaile Su (AAMAS, 2025)

NR4DER: Neural Re-ranking for Diversified Exercise Recommendation. - Xinghe Cheng; Xufang Zhou; Liangda Fang; Chaobo He; Yuyu Zhou; Weiqi Luo 002; Zhiguo Gong; Quanlong Guan (SIGIR, 2025)

DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction. - Weixiong Liu; Junwei Cheng; Zhongyu Pan; Chaobo He; Quanlong Guan (UAI, 2025)

Against Eavesdropping in Vehicular Networks: Joint Optimization of Power and Spectrum Based on Multi-Agent Reinforcement Learning. - Zhuoyan Feng; Xiujie Huang; Lin Cui 001; Renzhang Chen; Quanlong Guan (WCNC, 2025)

Can AI support human grading? Examining machine attention and confidence in short answer scoring. - Yuheng Li; Mladen Rakovic; Namrata Srivastava; Xinyu Li 004; Quanlong Guan; Dragan Gasevic; Guanliang Chen (Comput. Educ., 2025)

HCKGL: Hyperbolic collaborative knowledge graph learning for recommendation. - Huijuan Hu; Chaobo He; Xinran Chen; Quanlong Guan (Neurocomputing, 2025)

Explainable exercise recommendation with knowledge graph. - Quanlong Guan; Xinghe Cheng; Fang Xiao; Zhuzhou Li; Chaobo He; Liangda Fang; Guanliang Chen; Zhiguo Gong; Weiqi Luo 002 (Neural Networks, 2025)

Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning. - Chaobo He; Hao Cheng; Jiaqi Yang; Yong Tang 001; Quanlong Guan (Neural Networks, 2025)

Efficient reliability analysis of generalized k-out-of-n phased-mission systems. - Guizhuang Chen; Yuliang Hu; Chaonan Wang; Zhitao Wu; Wenjing Rong; Quanlong Guan (Reliab. Eng. Syst. Saf., 2025)

Phase combination for reliability analysis of dynamic k-out-of-n Phase-AND mission systems. - Chaonan Wang; Shenghui Luo; Guizhuang Chen; Zhitao Wu; Wenjing Rong; Quanlong Guan (Reliab. Eng. Syst. Saf., 2025)

Reliability analysis of IoV-based vehicle monitoring systems subject to cascading probabilistic common cause failures. - Chaonan Wang; Yingxi Lie; Yuchang Mo; Quanlong Guan (Reliab. Eng. Syst. Saf., 2025)

VSRQ: Quantitative Assessment Method for Safety Risk of Vehicle Intelligent Connected System. - Tian Zhang; Wenshan Guan; Hao Miao; Quanlong Guan; Zhiquan Liu; Chaonan Wang; Xiujie Huang; Liangda Fang; Zhifei Duan (IEEE Trans. Veh. Technol., 2025)

Reliability Analysis of Phased-Mission Smart Home Systems With Cascading Common Cause Failures. - Qian Chen; Chaonan Wang; Quanlong Guan; Jiaqi Shi (IEEE Trans. Reliab., 2025)

Hybrid Transfer and Self-Supervised Learning Approaches in Neural Networks for Intelligent Vehicle Intrusion Detection and Analysis. - Tian Zhang; Cuifeng Du; Yuyu Zhou; Quanlong Guan; Zhiquan Liu; Xiujie Huang; Zhiguo Gong; Lianbing Deng; Yang Li (IEEE Internet Things J., 2025)

Tissue-View Map for Robotic Carotid Artery Ultrasound Scanning Using Reinforcement Learning. - Kang Su; Guanglong Du; Xueqian Wang 001; Quanlong Guan (IEEE Robotics Autom. Lett., 2025)

An Efficient and Multi-Dimensional Privacy-Preserving Platoon Communication Scheme in Vehicular Networks. - Nuo Xu; Zhiquan Liu; Xuming Han; Quanlong Guan; Heng Sun; Xiujie Huang; Jianfeng Ma 001 (IEEE Trans. Intell. Transp. Syst., 2025)

Rethinking Variational Bayes in Community Detection From Graph Signal Perspective. - Junwei Cheng; Yong Tang 001; Chaobo He; Pengxing Feng; Kunlin Han; Quanlong Guan (IEEE Trans. Knowl. Data Eng., 2025)

Education-Oriented Graph Retrieval-Augmented Generation for Learning Path Recommendation. - Xinghe Cheng; Zihan Zhang; Jiapu Wang; Liangda Fang; Chaobo He; Quanlong Guan; Shirui Pan; Weiqi Luo 002 (CoRR, 2025)

Task Offloading Based on the Fusion of Model- and Data-Driven Intelligence for Vehicular Edge Computing Networks. - Xiujie Huang; Yuhao Chen; Zhiquan Liu; Shancheng Zhao; Zhetao Li; Renzhang Chen; Quanlong Guan (IEEE Trans. Intell. Transp. Syst., 2025)