1 code implementation • 21 Feb 2024 • An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang
However, we have discovered that this aggregation mechanism comes with a drawback, which amplifies biases present in the interaction graph.
1 code implementation • 16 Oct 2023 • An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua
The popularity shortcut tricks are good for in-distribution (ID) performance but poorly generalized to out-of-distribution (OOD) data, i. e., when popularity distribution of test data shifts w. r. t.
1 code implementation • 5 Jun 2023 • Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua
Discovering causal structure from purely observational data (i. e., causal discovery), aiming to identify causal relationships among variables, is a fundamental task in machine learning.
1 code implementation • 6 Mar 2023 • An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua
Despite great success in low-dimensional linear systems, it has been observed that these approaches overly exploit easier-to-fit samples, thus inevitably learning spurious edges.
1 code implementation • 20 Oct 2022 • An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua
Collaborative filtering (CF) models easily suffer from popularity bias, which makes recommendation deviate from users' actual preferences.
2 code implementations • EMNLP 2021 • Yuning Mao, Wenchang Ma, Deren Lei, Jiawei Han, Xiang Ren
In this paper, we present a systematic analysis that studies whether current seq2seq models, especially pre-trained language models, are good enough for preserving important input concepts and to what extent explicitly guiding generation with the concepts as lexical constraints is beneficial.
1 code implementation • EMNLP 2021 • Wenchang Ma, Ryuichi Takanobu, Minlie Huang
Growing interests have been attracted in Conversational Recommender Systems (CRS), which explore user preference through conversational interactions in order to make appropriate recommendation.
Ranked #5 on Recommendation Systems on ReDial