| 2025 | AAAI | POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning. | Jiawei Cheng, Jingyuan Wang, Yichuan Zhang, Jiahao Ji, Yuanshao Zhu, Zhibo Zhang, Xiangyu Zhao |
| 2025 | KDD | Bid2X: Revealing Dynamics of Bidding Environment in Online Advertising from A Foundation Model Lens. | Jiahao Ji, Tianyu Wang, Yeshu Li, Yusen Huo, Zhilin Zhang, Chuan Yu, Jian Xu, Bo Zheng |
| 2025 | KDD | Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction. | Jiahao Ji, Wentao Zhang, Jingyuan Wang, Chao Huang |
| 2024 | CIKM | Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search. | Enqiang Xu, Xinhui Li, Zhigong Zhou, Jiahao Ji, Jinyuan Zhao, Dadong Miao, Songlin Wang, Lin Liu, Sulong Xu |
| 2024 | ICLR | AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. | Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang |
| 2023 | AAAI | Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. | Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng |
| 2023 | Interspeech | Enhancing New Intent Discovery via Robust Neighbor-based Contrastive Learning. | Zhenhe Wu, Xiaoguang Yu, Meng Chen, Liangqing Wu, Jiahao Ji, Zhoujun Li |
| 2022 | AAAI | STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. | Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang |
| 2022 | KDD | Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning. | Jiahao Ji, Jingyuan Wang, Junjie Wu, Boyang Han, Junbo Zhang, Yu Zheng |
| 2020 | ICDM | Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. | Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jingtian Ma, Hu Zhang |