| 2026 | WWW | Automated Model Selection for Multivariate Time Series Forecasting. | Xiaoxuan Fan, Jiaqi Sun, Xianjun Deng, Qiankun Zhang, Wei Xiang, Shenghao Liu, Lingzhi Yi |
| 2026 | WWW | Unsupervised Subgraph Anomaly Detection Based on Pattern Collaboration. | Jiayang Sun, Shenghao Liu, Xianjun Deng, Wei Xiang, Meng Luo, Qiankun Zhang, Dandan Zheng |
| 2025 | APWEB | NALI: NUMA-Aware Adaptive Learned Index for In-Memory Multi-core Databases. | Ruiben Zhou, Yihuan Zhou, Shenghao Liu, Meng Li, Xianjun Deng, Haipeng Dai |
| 2025 | ICML | Understanding the Unfairness in Network Quantization. | Bing Liu, Wenjun Miao, Boyu Zhang, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng |
| 2025 | ICML | DiMa: Understanding the Hardness of Online Matching Problems via Diffusion Models. | Boyu Zhang, Aocheng Shen, Bing Liu, Qiankun Zhang, Bin Yuan, Jing Wang, Shenghao Liu, Xianjun Deng |
| 2025 | ICPADS | SecFinder: An IoT Device Identification System Based on Flow-level Traffic in Smart Home. | Ning Zhang, Suning Chen, Shenghao Liu, Xianjun Deng, Yuanyuan He, Wei Xiang, Meng Li |
| 2024 | IROS | DCSANet: Dual Cross-channel and Spatial Attention Make RGB-T Object Detection Better. | Xiaoxiong Lan, Shenghao Liu, Zhiyong Zhang, Changzhen Qiu |
| 2024 | IWQoS | ENSIOT: A Stacking Ensemble Learning Approach for IoT Device Identification. | Kangli Niu, Shenghao Liu, Lingzhi Yi, Xianjun Deng, Suning Chen, Laurence T. Yang, Minmin Cheng |
| 2023 | ICDM | Graph Sampling based Fairness-aware Recommendation over Sensitive Attribute Removal. | Shenghao Liu, Guoyang Wu, Xianjun Deng, Hongwei Lu, Bang Wang, Laurence T. Yang, James J. Park |
| 2023 | WSDM | VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation. | Lingyun Lu, Bang Wang, Zizhuo Zhang, Shenghao Liu, Han Xu |
| 2022 | HPCC | Ordinal Data Stream Collection with Condensed Local Differential Privacy. | Yuanyuan He, Fayao Wang, Xianjun Deng, Jianbing Ni, Jun Feng, Shenghao Liu |
| 2022 | PAKDD | Multicommunity Graph Convolution Networks with Decision Fusion for Personalized Recommendation. | Shenghao Liu, Bang Wang, Bin Liu, Laurence T. Yang |
| 2022 | TrustCom | Coverage Reliability of IoT Intrusion Detection System based on Attack-Defense Game Design. | Siyu Sun, Xiaoxuan Fan, Yunzhi Xia, Chenlu Zhu, Shenghao Liu, Lingzhi Yi |
| 2017 | SIGIR | Event Recommendation based on Graph Random Walking and History Preference Reranking. | Shenghao Liu, Bang Wang, Minghua Xu |
| 2015 | ISCAS | A temperature independent driver for Mach-Zehnder modulators. | Shenghao Liu, Ke Li, Peter Wilson |