| 2026 | DASFAA | Dynamic Soft Contrastive Learning for Spatio-Temporal Forecasting. | Hanzhi Deng, Heyuan Wang, Wei Chen, Tengjiao Wang, Kam-Fai Wong |
| 2025 | KDD | Enhancer: A Distribution-Aware Framework with Temporal-Relational Meta-Learning for Stock Prediction. | Weijun Chen, Shun Li, Heyuan Wang, Tengjiao Wang |
| 2024 | CVPR | When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach. | M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang |
| 2024 | IJCAI | Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation. | Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen, Tengjiao Wang |
| 2023 | SEKE | Learning Event Logic Graph Knowledge for Credit Risk Forecast. | Yifan Wang, Jibin Wang, Jing Shang, Zhuo Chen, Xuelian Ding, Heyuan Wang |
| 2022 | IJCAI | Heterogeneous Interactive Snapshot Network for Review-Enhanced Stock Profiling and Recommendation. | Heyuan Wang, Tengjiao Wang, Shun Li, Shijie Guan, Jiayi Zheng, Wei Chen |
| 2022 | IJCAI | Adaptive Long-Short Pattern Transformer for Stock Investment Selection. | Heyuan Wang, Tengjiao Wang, Shun Li, Jiayi Zheng, Shijie Guan, Wei Chen |
| 2021 | IJCAI | Hierarchical Adaptive Temporal-Relational Modeling for Stock Trend Prediction. | Heyuan Wang, Shun Li, Tengjiao Wang, Jiayi Zheng |
| 2020 | AAAI | Incorporating Expert-Based Investment Opinion Signals in Stock Prediction: A Deep Learning Framework. | Heyuan Wang, Tengjiao Wang, Yi Li |
| 2020 | ACL | Fine-grained Interest Matching for Neural News Recommendation. | Heyuan Wang, Fangzhao Wu, Zheng Liu, Xing Xie |
| 2019 | CIKM | Multi-Turn Response Selection in Retrieval-Based Chatbots with Iterated Attentive Convolution Matching Network. | Heyuan Wang, Ziyi Wu, Junyu Chen |