| 2026 | AAAI | GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation. | Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo |
| 2026 | AAAI | Generating In-Distribution Counterfactual Explanation for Graph Neural Networks. | Linmao Chen, Chaobo He, Junwei Cheng, Chunying Li, Quanlong Guan |
| 2026 | ISIT | Against Eavesdropping in Vehicle-Platooning Networks: Joint Power and Spectrum Optimization Based on MADRL with Self-Attention Mechanism. | Zhuoyan Feng, Xiujie Huang, Quanlong Guan, Shancheng Zhao |
| 2026 | SIGIR | Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educational Video Understanding. | Cheng Liu, Yiping Wang, Quanlong Guan, Chaobo He, Xingyu Zhu, Liangda Fang |
| 2025 | AAAI | 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 |
| 2025 | CIKM | PERC: A Prior-Guided Framework for Classifying Long-Content Educational Resources with Imbalanced Category Distributions. | Quanlong Guan, Xiuliang Duan, Zhi Chen, Xingyu Zhu, Jianbo Huang, Xinzhong Liu, Zonglin Liu, Liangda Fang |
| 2025 | COLING | 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 |
| 2025 | CVPR | Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. | Ziliang Chen, Xin Huang, Xiaoxuan Fan, Keze Wang, Yuyu Zhou, Quanlong Guan, Liang Lin |
| 2025 | DASFAA | Boost Dynamic Community Detection via Exploiting Member Transition Information. | Zhongyu Pan, Junwei Cheng, Weixiong Liu, Chaobo He, Quanlong Guan, Xuequan Lin |
| 2025 | IJCAI | Improvements to the Generate-and-Complete Approach to Conformant Planning. | Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan |
| 2025 | IROS | Scalable MARL for Cooperative Exploration with Dynamic Robot Populations via Graph-Based Information Aggregation. | Xiaoqi Ren, Guanglong Du, Zhuoyao Wang, Dong Xu, Xueqian Wang, Quanlong Guan, Xiaojian Qiu |
| 2025 | WCNC | Against Eavesdropping in Vehicular Networks: Joint Optimization of Power and Spectrum Based on Multi-Agent Reinforcement Learning. | Zhuoyan Feng, Xiujie Huang, Lin Cui, Renzhang Chen, Quanlong Guan |
| 2025 | SIGIR | NR4DER: Neural Re-ranking for Diversified Exercise Recommendation. | Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan |
| 2025 | UAI | DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction. | Weixiong Liu, Junwei Cheng, Zhongyu Pan, Chaobo He, Quanlong Guan |
| 2024 | AAAI | Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. | Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin |
| 2024 | AAAI | 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 |
| 2024 | CSCWD | 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, Quanlong Guan |
| 2024 | CSCWD | Short-term Portfolio Optimization using Doubly Regularized Exponential Growth Rate. | Quanlong Guan, Jinneng He, Zhao-Rong Lai, Yuyu Zhou, Quming Jiang, Ziliang Chen |
| 2024 | ICASSP | 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 |
| 2024 | ICASSP | 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 |
| 2024 | IJCAI | On the Logic of Theory Change Iteration of KM-Update, Revised. | Liangda Fang, Tong Zhu, Quanlong Guan, Junming Qiu, Zhao-Rong Lai, Weiqi Luo, Hai Wan |
| 2024 | IJCAI | 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 |
| 2024 | ISSRE | Exact Computation of Network Reliability with Sentential Decision Diagrams. | Delong Li, Jiayu Zeng, Liangda Fang, Chaonan Wang, Lin Cui, Quanlong Guan |
| 2024 | WCNC | Joint Optimization of Spectrum and Power for Vehicular Networks: A MAPPO based Deep Reinforcement Learning Approach. | Weiteng Cai, Xiujie Huang, Yuhao Chen, Quanlong Guan |
| 2024 | WWW | Boost Social Recommendation via Adaptive Denoising Network. | Xinran Chen, Chaobo He, Quanlong Guan |
| 2024 | WWW | Generating Privacy-preserving Educational Data Records with Diffusion Model. | Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen |
| 2023 | AIED | Generalizable Automatic Short Answer Scoring via Prototypical Neural Network. | Zijie Zeng, Lin Li, Quanlong Guan, Dragan Gasevic, Guanliang Chen |
| 2023 | CIKM | KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. | Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo |
| 2023 | CIKM | A Deep Conditional Generative Approach for Constrained Community Detection. | Chaobo He, Junwei Cheng, Quanlong Guan, Xiang Fei, Hanchao Li, Yong Tang |
| 2023 | CogSci | An Interpretable Model With Forgetting Matrix For Deep Knowledge Tracing. | Quanlong Guan, Kaiquan Bian, Liangda Fang, Sheng Li, Zhenyu He, Hua Zheng, Lusheng Wu, Weiqi Luo |
| 2023 | CSCWD | Self-supervised community detection in multiplex networks with graph convolutional autoencoder. | Xingyu Liu, Junwei Cheng, Hao Cheng, Chaobo He, Qimai Chen, Quanlong Guan |
| 2023 | ICCV | A Retrospect to Multi-prompt Learning across Vision and Language. | Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo |
| 2023 | Mobiquitous | 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 |
| 2023 | Mobiquitous | 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 |
| 2023 | SMC | 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 |
| 2023 | SMC | NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. | Guoxiong Wei, Zhenyu He, Quanlong Guan, Liangda Fang, Weiqi Luo, Guanliang Chen |
| 2022 | AAAI | Knowledge Compilation Meets Logical Separability. | Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong |
| 2022 | AIED | Cognitive Diagnosis Focusing on Knowledge Components. | Sheng Li, Zhenyu He, Quanlong Guan, Yizhou He, Liangda Fang, Weiqi Luo, Xingyu Zhu |
| 2022 | CIKM | Knowledge Tracing Model with Learning and Forgetting Behavior. | Mingzhi Chen, Quanlong Guan, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo |
| 2022 | CIKM | Cognitive Diagnosis Focusing on Knowledge Concepts. | Sheng Li, Quanlong Guan, Liangda Fang, Fang Xiao, Zhenyu He, Yizhou He, Weiqi Luo |
| 2020 | ICCAD | Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams. | Xuanxiang Huang, Haipeng Che, Liangda Fang, Qingliang Chen, Quanlong Guan, Yuhui Deng, Kaile Su |
| 2017 | NPC | TCon: A Transparent Congestion Control Deployment Platform for Optimizing WAN Transfers. | Yuxiang Zhang, Lin Cui, Fung Po Tso, Quanlong Guan, Weijia Jia |
| 2013 | HPCC | Research on QoS Routing in the Internet. | Jiandan Yang, Quanlong Guan |