| 2026 | AAAI | FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates. | Zhenqiang Ye, Jinjie Lu, Tianlong Gu, Fengrui Hao, Xuemin Wang |
| 2026 | ACL | C2PO: Diagnosing and Disentangling Bias Shortcuts in LLMs. | Xuan Feng, Bo An, Tianlong Gu, Liang Chang, Fengrui Hao, Peipeng Yu, Shuai Zhao |
| 2026 | DASFAA | MELT-Rec: A Meta-learning-Based System for Tourism Recommendation. | Songfu Xiong, Xuguang Bao, Liang Chang, Tianlong Gu |
| 2025 | AAAI | Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction. | Xuan Feng, Tianlong Gu, Xiaoli Liu, Liang Chang |
| 2025 | AAAI | Modeling Inter-Intra Heterogeneity for Graph Federated Learning. | Wentao Yu, Shuo Chen, Yongxin Tong, Tianlong Gu, Chen Gong |
| 2025 | APWEB | APES: Interactive Pattern Mining System Based on Cross-Entropy Probability Modeling. | Shuaikang Yuan, Xuguang Bao, Liang Chang, Tianlong Gu |
| 2025 | APWEB | Efficient High Utility Co-Location Pattern Mining Under Positive and Negative Utility Constraints. | Shuaikang Yuan, Yongming Huang, Xuguang Bao, Liang Chang, Tianlong Gu |
| 2025 | CIKM | Multi-Behavior Intent Disentanglement for Recommendation via Information Bottleneck Principle. | Tongxin Xu, Chenzhong Bin, Cihan Xiao, Yunhui Li, Tianlong Gu |
| 2025 | CIKM | Improving Recommendation Fairness via Graph Structure and Representation Augmentation. | Tongxin Xu, Wenqiang Liu, Chenzhong Bin, Cihan Xiao, Zhixin Zeng, Tianlong Gu |
| 2025 | DASFAA | FairDP-GNN: Graph Neural Network with Group Fairness and Differential Privacy. | Fengrui Hao, Shiyi Zhao, Tianlong Gu, Xuemin Wang, Xiaoli Liu, Yuanfeng Liu |
| 2025 | ICASSP | BID-Net: Balanced Incremental Distillation Network for Fair Dermatological Disease Diagnosis. | Yiqin Luo, Tianlong Gu, Fengrui Hao, Liang Chang |
| 2025 | ICDE | Towards Fair Graph Neural Networks via Graph Counterfactual Without Sensitive Attributes. | Xuemin Wang, Tianlong Gu, Xuguang Bao, Liang Chang |
| 2024 | ACML | Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes. | Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao |
| 2024 | ICDE | Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection. | Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang |
| 2024 | ICDM | Traffic Pattern Sharing for Federated Traffic Flow Prediction with Personalization. | Hang Zhou, Wentao Yu, Sheng Wan, Yongxin Tong, Tianlong Gu, Chen Gong |
| 2024 | RecSys | FairCRS: Towards User-oriented Fairness in Conversational Recommendation Systems. | Qin Liu, Xuan Feng, Tianlong Gu, Xiaoli Liu |
| 2023 | DASFAA | Fair and Privacy-Preserving Graph Neural Network. | Xuemin Wang, Tianlong Gu, Xuguang Bao, Liang Chang |
| 2022 | DASFAA | OIIKM: A System for Discovering Implied Knowledge from Spatial Datasets Using Ontology. | Liang Chang, Long Wang, Xuguang Bao, Tianlong Gu |
| 2022 | DASFAA | IDMBS: An Interactive System to Find Interesting Co-location Patterns Using SVM. | Liang Chang, Yuxiang Zhang, Xuguang Bao, Tianlong Gu |
| 2022 | WWW | Discovering Top-k Profitable Patterns for Smart Manufacturing. | Shicheng Wan, Jiahui Chen, Peifeng Zhang, Wensheng Gan, Tianlong Gu |
| 2021 | DASFAA | NRCP-Miner: Towards the Discovery of Non-redundant Co-location Patterns. | Xuguang Bao, Jinjie Lu, Tianlong Gu, Liang Chang, Lizhen Wang |
| 2019 | ISNN | An Improved Selection Operator for Multi-objective Optimization. | Hong Zhao, Zhi-Hui Zhan, Wei-Neng Chen, Xiaonan Luo, Tianlong Gu, Ren-Chu Guan, Lan Huang, Jun Zhang |
| 2019 | PRICAI | Jointing Knowledge Graph and Neural Network for Top-N Recommendation. | Wei Chen, Liang Chang, Chenzhong Bin, Tianlong Gu, Zhonghao Jia |
| 2019 | PRICAI | A Neural User Preference Modeling Framework for Recommendation Based on Knowledge Graph. | Guiming Zhu, Chenzhong Bin, Tianlong Gu, Liang Chang, Yanpeng Sun, Wei Chen, Zhonghao Jia |
| 2018 | PRICAI | Personalized POIs Travel Route Recommendation System Based on Tourism Big Data. | Chenzhong Bin, Tianlong Gu, Yanpeng Sun, Liang Chang, Wenping Sun, Lei Sun |
| 2018 | PRICAI | A Multi-latent Semantics Representation Model for Mining Tourist Trajectory. | Yanpeng Sun, Tianlong Gu, Chenzhong Bin, Liang Chang, Haili Kuang, Zhaowei Huang, Lei Sun |
| 2016 | ICCSA | An Improved Reconfiguration Algorithm for VLSI Arrays with A-Star. | Junyan Qian, Zhide Zhou, Lingzhong Zhao, Tianlong Gu |
| 2014 | ICCBR | Algorithm for Adapting Cases Represented in a Tractable Description Logic. | Liang Chang, Uli Sattler, Tianlong Gu |
| 2010 | PRICAI | Using ASP to Improve the Information Reuse in Mechanical Assembly Sequence Planning. | Lingzhong Zhao, Xuesong Wang, Junyan Qian, Tianlong Gu |
| 2008 | ICCSA | Formula-Dependent Abstraction for CTL Model Checking. | Junyan Qian, Lingzhong Zhao, Guoyong Cai, Tianlong Gu |
| 2007 | APLAS | A Novel Test Case Generation Method for Prolog Programs Based on Call Patterns Semantics. | Lingzhong Zhao, Tianlong Gu, Junyan Qian, Guoyong Cai |
| 2007 | ICNC | A Novel Immunity-Growth Genetic Algorithm for Traveling Salesman Problem. | Cong-Wen Zeng, Tianlong Gu |
| 2007 | TASE | Goal-independent Semantics for Path Dependent Analysis of Prolog Programs. | Lingzhong Zhao, Tianlong Gu, Junyan Qian |
| 2006 | PRICAI | Designing Prolog Semantics for a Class of Observables. | Lingzhong Zhao, Tianlong Gu, Junyan Qian, Guoyong Cai |
| 2006 | SEKE | A Constraint-based Correct Call Pattern Semantics for Prolog as an Abstraction of Decorated Tree Semantics. | Lingzhong Zhao, Tianlong Gu, Junyan Qian, Guoyong Cai |
| 2005 | SMC | Optimization and Control of Production Systems Based on Interval Speed Continuous Petri Nets. | Weizhi Liao, Tianlong Gu |
| 2003 | SMC | Continuous Petri nets augmented with maximal and minimal firing speeds. | Tianlong Gu, Rongsheng Dong, Yu-Chu Tian |