| 2026 | EACL | Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling. | Weishi Wang, Hengchang Hu, Daniel Dahlmeier |
| 2026 | ECIR | Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking. | Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li, Yang Deng |
| 2025 | NAACL | ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems. | Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li |
| 2025 | WWW | Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation. | Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang |
| 2024 | ECIR | Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision. | Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan |
| 2024 | WWW | Discrete Semantic Tokenization for Deep CTR Prediction. | Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu |
| 2024 | WSDM | User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation. | Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan |
| 2023 | CIKM | Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. | Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan |
| 2022 | COLING | KHANQ: A Dataset for Generating Deep Questions in Education. | Huanli Gong, Liangming Pan, Hengchang Hu |
| 2022 | RecSys | PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation. | Yiding Ran, Hengchang Hu, Min-Yen Kan |
| 2021 | EMNLP | Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage. | Isidora Chara Tourni, Lei Guo, Taufiq Husada Daryanto, Fabian Zhafransyah, Edward Edberg Halim, Mona Jalal, Boqi Chen, Sha Lai, Hengchang Hu, Margrit Betke, Prakash Ishwar, Derry Tanti Wijaya |