| 2026 | ACL | Long Context Modeling with Ranked Memory-Augmented Retrieval. | Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak |
| 2026 | ACL | SOCIA-EVO: Automated Simulator Construction via Dual-Anchored Bi-Level Optimization. | Yuncheng Hua, Sion Weatherhead, Mehdi Jafari, Hao Xue, Flora D. Salim |
| 2026 | ACL | ZARA: Training-Free Motion Time-Series Reasoning via Evidence-Grounded LLM Agents. | Zechen Li, Baiyu Chen, Hao Xue, Flora D. Salim |
| 2026 | WWW | When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs. | Baiyu Chen, Benjamin Tag, Hao Xue, Daniel Angus, Flora Salim |
| 2026 | WWW | Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting. | Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Zfle, C. Raina MacIntyre, Flora D. Salim |
| 2026 | WWW | Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval. | Ruiyi Yang, Hao Xue, Imran Razzak, Flora D. Salim |
| 2025 | ACL | Beyond Words: Integrating Theory of Mind into Conversational Agents for Human-Like Belief, Desire, and Intention Alignment. | Mehdi Jafari, Yuncheng Hua, Hao Xue, Flora D. Salim |
| 2025 | EMNLP | SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition. | Zechen Li, Shohreh Deldari, Linyao Chen, Hao Xue, Flora D. Salim |
| 2025 | ISWC | CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning. | Justin Luong, Hao Xue, Flora D. Salim |
| 2025 | KDD | Simulated Infectious Diseases Datasets with Controlled Data Bias. | Ruochen Kong, Taylor Anderson, Matthew Scotch, David J. Heslop, Yonchanok Khaokaew, Hao Xue, Li Xiong, Chandini Raina MacIntyre, Flora D. Salim, Andreas Zfle |
| 2025 | WWW | Time Series Analysis in the Web: Recent Advances and Future Trends. | Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang |
| 2025 | WWW | TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation. | Chenlu Ju, Jiaxin Liu, Shobhit Sinha, Hao Xue, Flora Salim |
| 2025 | WWW | The International Workshop on Spatio-Temporal Data Mining from the Web. | Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng |
| 2025 | WWW | Brick-by-Brick: Cyber-Physical Building Data Classification Challenge. | Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim |
| 2024 | ICDM | BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics. | Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim |
| 2024 | ISWC | WorkR: Occupation Inference for Intelligent Task Assistance. | Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim |
| 2024 | WWW | SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. | Ruiyi Yang, Flora D. Salim, Hao Xue |
| 2024 | SIGIR | Large Language Models for Next Point-of-Interest Recommendation. | Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim |
| 2023 | IJCNN | 3DSEAVNet: 3D-Squeeze-and-Excitation Networks for Audio-Visual Saliency Prediction. | Silong Liang, Chunxiao Li, Naying Cui, Minghui Sun, Hao Xue |
| 2023 | MDM | Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. | Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim |
| 2023 | SENSYS | Utilizing Language Models for Energy Load Forecasting. | Hao Xue, Flora D. Salim |
| 2023 | SENSYS | Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. | Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim |
| 2022 | AAAI | Event-Aware Multimodal Mobility Nowcasting. | Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki |
| 2022 | ACCV | An RNN-Based Framework for the MILP Problem in Robustness Verification of Neural Networks. | Hao Xue, Xia Zeng, Wang Lin, Zhengfeng Yang, Chao Peng, Zhenbing Zeng |
| 2022 | ICPR | Robust Training with Feature-Based Adversarial Example. | Xuanming Fu, Zhengfeng Yang, Hao Xue, Jianlin Wang, Zhenbing Zeng |
| 2022 | ISNCC | A Lightweight Network Slicing Scheme for 5G Coexistence Network in Multitenant and Services. | Tianshun Fang, Hao Xue, Zhenni Pan, Shigeru Shimamoto |
| 2022 | WSDM | Translating Human Mobility Forecasting through Natural Language Generation. | Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke |
| 2021 | ICDM | PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. | Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim |
| 2021 | KDD | Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. | Hao Xue, Flora D. Salim |
| 2021 | PAKDD | TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting. | Hao Xue, Flora D. Salim |
| 2021 | WWW | Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. | Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim |
| 2020 | ICONIP | Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories. | Hao Xue, Du Q. Huynh, Mark Reynolds |
| 2019 | PRICAI | Pedestrian Trajectory Prediction Using a Social Pyramid. | Hao Xue, Du Q. Huynh, Mark Reynolds |
| 2019 | VTC | Pedestrian Tracking and Stereo Matching of Tracklets for Autonomous Vehicles. | Hao Xue, Du Q. Huynh, Mark Reynolds |
| 2019 | WACV | Location-Velocity Attention for Pedestrian Trajectory Prediction. | Hao Xue, Du Huynh, Mark Reynolds |
| 2018 | WACV | SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction. | Hao Xue, Du Q. Huynh, Mark Reynolds |
| 2017 | DBSEC | A Content-Aware Trust Index for Online Review Spam Detection. | Hao Xue, Fengjun Li |
| 2017 | DICTA | Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification. | Hao Xue, Du Q. Huynh, Mark Reynolds |
| 2017 | MMM | Graph-Based Multimodal Music Mood Classification in Discriminative Latent Space. | Feng Su, Hao Xue |
| 2017 | VTC | A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization. | Lin Ma, Hao Xue, Tong Jia, Xuezhi Tan |
| 2016 | IWCMC | A fast visual map building method using video stream for visual-based indoor localization. | Hao Xue, Lin Ma, Xuezhi Tan |
| 2015 | MMM | Multimodal Music Mood Classification by Fusion of Audio and Lyrics. | Hao Xue, Like Xue, Feng Su |
| 2015 | TrustCom | Trust-Aware Review Spam Detection. | Hao Xue, Fengjun Li, Hyunjin Seo, Roseann Pluretti |