Hengchang Hu

28 papers A 2B 1Journal 14Unranked 11
YearRankTypeTitle / Venue / Authors
2026 — conf
Improving Conversational Recommendation with Contextual Adaptation of External Recommenders and LLM-Based Reranking.
ECIR (2)
Chuang Li, Weida Liang, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li, Yang Deng
2026 — conf
Rethinking Reading Order: Toward Generalizable Document Understanding with LLM-based Relation Modeling.
EACL (Volume 1: Long Papers)
Weishi Wang, Hengchang Hu, Daniel Dahlmeier
2025 J jnl
Benchmarking LLMs in Recommendation Tasks: A Comparative Evaluation with Conventional Recommenders.
CoRR
Qijiong Liu, Jieming Zhu, Lu Fan, Kun Wang, Hengchang Hu, Wei Guo, Yong Liu, Xiao-Ming Wu
2025 J jnl
CARE: Contextual Adaptation of Recommenders for LLM-based Conversational Recommendation.
CoRR
Chuang Li, Yang Deng, Hengchang Hu, See-Kiong Ng, Min-Yen Kan, Haizhou Li
2025 — conf
ChatCRS: Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems.
NAACL (Findings)
Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li
2025 J jnl
Document Intelligence in the Era of Large Language Models: A Survey.
CoRR
Weishi Wang, Hengchang Hu, Zhijie Zhang, Zhaochen Li, Hongxin Shao, Daniel Dahlmeier
2025 — conf
Leveraging ChatGPT to Empower Training-free Dataset Condensation for Content-based Recommendation.
WWW (Companion Volume)
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2024 J jnl
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage.
CoRR
Isidora Chara Tourni, Lei Guo, Hengchang Hu, Edward Halim, Prakash Ishwar, Taufiq Husada Daryanto, Mona Jalal, Boqi Chen, Margrit Betke, Fabian Zhafransyah, Sha Lai, Derry Tanti Wijaya
2024 — conf
Discrete Semantic Tokenization for Deep CTR Prediction.
WWW (Companion Volume)
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
2024 J jnl
Discrete Semantic Tokenization for Deep CTR Prediction.
CoRR
Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
2024 J jnl
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems.
CoRR
Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li
2024 — conf
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision.
ECIR (1)
Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan
2024 J jnl
Lightweight Modality Adaptation to Sequential Recommendation via Correlation Supervision.
CoRR
Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan
2024 — conf
Reinventing Node-centric Traffic Forecasting for Improved Accuracy and Efficiency.
ECML/PKDD (3)
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2024 A conf
User Behavior Enriched Temporal Knowledge Graphs for Sequential Recommendation.
WSDM
Hengchang Hu, Wei Guo, Xu Liu, Yong Liu, Ruiming Tang, Rui Zhang, Min-Yen Kan
2024 J jnl
Vector Quantization for Recommender Systems: A Review and Outlook.
CoRR
Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu
2023 — conf
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommendation Systems.
KaRS@RecSys
Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li
2023 J jnl
A Conversation is Worth A Thousand Recommendations: A Survey of Holistic Conversational Recommender Systems.
CoRR
Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li
2023 A conf
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems.
CIKM
Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan
2023 J jnl
Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems.
CoRR
Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan
2023 — conf
Automatic Feature Fairness in Recommendation via Adversaries.
SIGIR-AP
Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
2023 J jnl
Automatic Feature Fairness in Recommendation via Adversaries.
CoRR
Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
2023 J jnl
Do We Really Need Graph Neural Networks for Traffic Forecasting?
CoRR
Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
2023 J jnl
Leveraging Large Language Models (LLMs) to Empower Training-Free Dataset Condensation for Content-Based Recommendation.
CoRR
Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
2022 B conf
KHANQ: A Dataset for Generating Deep Questions in Education.
COLING
Huanli Gong, Liangming Pan, Hengchang Hu
2022 J jnl
Modeling and Leveraging Prerequisite Context in Recommendation.
CoRR
Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan
2022 — conf
PM K-LightGCN: Optimizing for Accuracy and Popularity Match in Course Recommendation.
MORS@RecSys
Yiding Ran, Hengchang Hu, Min-Yen Kan
2021 — conf
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage.
EMNLP (Findings)
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