| 2026 | DASFAA | TFMoE: Bridging Dual Domains for Long-Term Time Series Forecasting via Adaptive Time-Frequency Modeling. | Jianliang Gao, Yiting Shi, Zhipeng Peng, Chongyun Qin |
| 2026 | DASFAA | DiSRet: Directional Structure-Aware Retentive Network for Long-Term Time Series Forecasting. | Zhipeng Peng, Yiting Shi, Chongyun Qin, Jianliang Gao |
| 2025 | DASFAA | Time-Aware Meta-path Aggregation on Heterogeneous Temporal Graphs. | Wei Qin, Yili Wang, Xinqiu Zhang, Tairan Huang, Shuqing Wu, Jianliang Gao |
| 2025 | ECAI | Lightning Decoupled Graph Neural Architecture Search for Fraud Detection. | Tairan Huang, Changlong He, Yili Wang, Jianliang Gao |
| 2025 | ECAI | Learnable Multiple Cyclicity-Trend Decomposition for Long-Term Time Series Forecasting. | Yiting Shi, Zhipeng Peng, Chongyun Qin, Jianliang Gao |
| 2025 | ICANN | Towards Better Graph Anomaly Detection: A Performance-Aware Neural Architecture Search Approach. | Babatounde Moctard Oloulade, Jianliang Gao, Raeed Al-Sabri, Jiamin Chen, Zhenpeng Wu |
| 2024 | ECAI | Relation Time-Aware Heterogeneous Dynamic Graph Neural Networks. | Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao |
| 2023 | CIKM | TemDep: Temporal Dependency Priority for Multivariate Time Series Prediction. | Shu Liu, Jiaheng Wang, Jiamin Chen, Jianliang Gao, Yuhui Zhong |
| 2023 | ICONIP | DTSRN: Dynamic Temporal Spatial Relation Network for Stock Ranking Recommendation. | Yuhui Zhong, Jiamin Chen, Jianliang Gao, Jiaheng Wang, Quan Wan |
| 2023 | SSDBM | Decoupled Graph Neural Architecture Search with Variable Propagation Operation and Appropriate Depth. | Jianliang Gao, Changlong He, Jiamin Chen, Qiutong Li, Yili Wang |
| 2023 | SSDBM | MSLS: Meta-graph Search with Learnable Supernet for Heterogeneous Graph Neural Networks. | Yili Wang, Jiamin Chen, Qiutong Li, Changlong He, Jianliang Gao |
| 2023 | SSDBM | TGSLN : Time-aware Graph Structure Learning Network for Multi-variates Stock Sector Ranking Recommendation. | Quan Wan, Shuo Yin, Xiangyue Liu, Jianliang Gao, Yuhui Zhong |
| 2022 | CIKM | Pattern Adaptive Specialist Network for Learning Trading Patterns in Stock Market. | Huiling Huang, Jianliang Gao, Cong Xu, Xiaoting Ying |
| 2022 | CIKM | Dual-Augment Graph Neural Network for Fraud Detection. | Qiutong Li, Yanshen He, Cong Xu, Feng Wu, Jianliang Gao, Zhao Li |
| 2022 | CIKM | Memory Augmented Graph Learning Networks for Multivariate Time Series Forecasting. | Xiangyue Liu, Xinqi Lyu, Xiangchi Zhang, Jianliang Gao, Jiamin Chen |
| 2022 | SSDBM | Static-Dynamic Graph Neural Network for Stock Recommendation. | Yanshen He, Qiutong Li, Feng Wu, Jianliang Gao |
| 2021 | EMNLP | LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization. | Raeed Al-Sabri, Jianliang Gao |
| 2021 | HPCC | TAGCN: Typed Attention Graph Convolutional Networks for Entity Alignment in Cross-lingual Knowledge Graphs. | Jianliang Gao, Zhao Li, Fan Xiong, Xiangyue Liu, Jie Xiao, Biao Wang, Ji Zhang |
| 2021 | IJCAI | MDNN: A Multimodal Deep Neural Network for Predicting Drug-Drug Interaction Events. | Tengfei Lyu, Jianliang Gao, Ling Tian, Zhao Li, Peng Zhang, Ji Zhang |
| 2021 | WWW | What Happens Behind the Scene? Towards Fraud Community Detection in E-Commerce from Online to Offline. | Zhao Li, Pengrui Hui, Peng Zhang, Jiaming Huang, Biao Wang, Ling Tian, Ji Zhang, Jianliang Gao, Xing Tang |
| 2021 | SIGIR | GraphPAS: Parallel Architecture Search for Graph Neural Networks. | Jiamin Chen, Jianliang Gao, Yibo Chen, Babatounde Moctard Oloulade, Tengfei Lyu, Zhao Li |
| 2021 | SIGIR | MetaP: Meta Pattern Learning for One-Shot Knowledge Graph Completion. | Zhiyi Jiang, Jianliang Gao, Xinqi Lv |
| 2020 | CIKM | Time-aware Graph Relational Attention Network for Stock Recommendation. | Xiaoting Ying, Cong Xu, Jianliang Gao, Jianxin Wang, Zhao Li |
| 2020 | DASFAA | Attention with Long-Term Interval-Based Gated Recurrent Units for Modeling Sequential User Behaviors. | Zhao Li, Chenyi Lei, Pengcheng Zou, Donghui Ding, Shichang Hu, Zehong Hu, Shouling Ji, Jianliang Gao |
| 2020 | SIGIR | MGNN: A Multimodal Graph Neural Network for Predicting the Survival of Cancer Patients. | Jianliang Gao, Tengfei Lyu, Fan Xiong, Jianxin Wang, Weimao Ke, Zhao Li |
| 2019 | ICDM | Who is Who: Name Disambiguation in Large-Scale Scientific Literature. | Hongliang Du, Zhiyi Jiang, Jianliang Gao |
| 2019 | IJCAI | A Similarity Measurement Method Based on Graph Kernel for Disconnected Graphs. | Jun Gao, Jianliang Gao |
| 2019 | IJCAI | Entity Alignment for Cross-lingual Knowledge Graph with Graph Convolutional Networks. | Fan Xiong, Jianliang Gao |
| 2017 | CIKM | Community-Based Network Alignment for Large Attributed Network. | Zheng Chen, Xinli Yu, Bo Song, Jianliang Gao, Xiaohua Hu, Wei-Shih Yang |
| 2017 | ISPA | Markov Fluid Queue Model for Rechargeable Sensor Nodes with Abnormal Death. | Ping Zhong, Yiwen Zhang, Jianliang Gao, Yiming Zhang, Jize Yan |
| 2017 | SIGIR | Counter Deanonymization Query: H-index Based | Jianliang Gao, Bo Song, Zheng Chen, Weimao Ke, Wanying Ding, Xiaohua Hu |
| 2013 | HPCC | Energy-Efficient Multicast Protocol for Real-Time Wireless Sensor Networks. | Jianliang Gao, Jianxin Wang, Weiping Wang |
| 2012 | DATE | A clustering-based scheme for concurrent trace in debugging NoC-based multicore systems. | Jianliang Gao, Jianxin Wang, Yinhe Han, Lei Zhang, Xiaowei Li |
| 2012 | GLOBECOM | HMRF-based distributed fault detection for wireless sensor networks. | Jianliang Gao, Jianxin Wang, Xi Zhang |
| 2011 | DATE | Eliminating data invalidation in debugging multiple-clock chips. | Jianliang Gao, Yinhe Han, Xiaowei Li |
| 2009 | VTS | A New Post-Silicon Debug Approach Based on Suspect Window. | Jianliang Gao, Yinhe Han, Xiaowei Li |
| 2007 | IJCNN | Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. | Daqi Gao, Wei Wang, Jianliang Gao |
| 2006 | GPC | A Coloring Based Backbone Construction Algorithm in Wireless Ad Hoc Network. | Zhiwei Lin, Li Xu, Dajin Wang, Jianliang Gao |