no code implementations • COLING 2022 • Huanli Gong, Liangming Pan, Hengchang Hu
Designing in-depth educational questions is a time-consuming and cognitively demanding task.
no code implementations • Findings (EMNLP) 2021 • Isidora 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
Such perspectives are called “frames” in communication research. We study, for the first time, the value of combining lead images and their contextual information with text to identify the frame of a given news article.
1 code implementation • 6 May 2024 • Qijiong Liu, Xiaoyu Dong, Jiaren Xiao, Nuo Chen, Hengchang Hu, Jieming Zhu, Chenxu Zhu, Tetsuya Sakai, Xiao-Ming Wu
Finally, the survey analyzes the remaining challenges and anticipates future trends in VQ4Rec, including the challenges associated with the training of vector quantization, the opportunities presented by large language models, and emerging trends in multimodal recommender systems.
no code implementations • 3 May 2024 • Chuang Li, Yang Deng, Hengchang Hu, Min-Yen Kan, Haizhou Li
This paper aims to efficiently enable large language models (LLMs) to use external knowledge and goal guidance in conversational recommender system (CRS) tasks.
2 code implementations • 13 Mar 2024 • Qijiong Liu, Hengchang Hu, Jiahao Wu, Jieming Zhu, Min-Yen Kan, Xiao-Ming Wu
Incorporating item content information into click-through rate (CTR) prediction models remains a challenge, especially with the time and space constraints of industrial scenarios.
no code implementations • 14 Jan 2024 • Hengchang Hu, Qijiong Liu, Chuang Li, Min-Yen Kan
Specifically, we introduce a novel method that enhances the learning of embeddings in SR through the supervision of modality correlations.
no code implementations • 15 Oct 2023 • Jiahao Wu, Qijiong Liu, Hengchang Hu, Wenqi Fan, Shengcai Liu, Qing Li, Xiao-Ming Wu, Ke Tang
Notably, the condensation paradigm of this method is forward and free from iterative optimization on the synthesized dataset.
1 code implementation • 27 Sep 2023 • Hengchang Hu, Yiming Cao, Zhankui He, Samson Tan, Min-Yen Kan
We leverage the Adaptive Adversarial perturbation based on the widely-applied Factorization Machine (AAFM) as our backbone model.
1 code implementation • 14 Sep 2023 • Chuang Li, Hengchang Hu, Yan Zhang, Min-Yen Kan, Haizhou Li
However, not all CRS approaches use human conversations as their source of interaction data; the majority of prior CRS work simulates interactions by exchanging entity-level information.
1 code implementation • 30 Aug 2023 • Hengchang Hu, Wei Guo, Yong liu, Min-Yen Kan
We propose a graph-based approach (named MMSR) to fuse modality features in an adaptive order, enabling each modality to prioritize either its inherent sequential nature or its interplay with other modalities.
no code implementations • 30 Jan 2023 • Xu Liu, Yuxuan Liang, Chao Huang, Hengchang Hu, Yushi Cao, Bryan Hooi, Roger Zimmermann
Spatio-temporal graph neural networks (STGNN) have become the most popular solution to traffic forecasting.
1 code implementation • 23 Sep 2022 • Hengchang Hu, Liangming Pan, Yiding Ran, Min-Yen Kan
Prerequisites can play a crucial role in users' decision-making yet recommendation systems have not fully utilized such contextual background knowledge.