activity
20082023
most citedNeural Graph Collaborative Filtering

3.2k citations · 7.4k across the 36 of their papers we have counts for

collaborators

36 papers

cs.IR2023★ 2 cited

Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation

Wei Ji, Xiangyan Liu, An Zhang +3

Multi-modal recommendation systems, which integrate diverse types of information, have gained widespread attention in recent years. However, compared to traditional collaborative f…

cs.CV2023★ 22 cited

Redundancy-aware Transformer for Video Question Answering

Yicong Li, Xun Yang, An Zhang +3

This paper identifies two kinds of redundancy in the current VideoQA paradigm. Specifically, the current video encoders tend to holistically embed all video clues at different gran…

cs.CV2023

Discovering Spatio-Temporal Rationales for Video Question Answering

Yicong Li, Junbin Xiao, Chun Feng +2

This paper strives to solve complex video question answering (VideoQA) which features long video containing multiple objects and events at different time. To tackle the challenge,…

cs.LG2023★ 7 cited

Discovering Dynamic Causal Space for DAG Structure Learning

Fangfu Liu, Wenchang Ma, An Zhang +3

Discovering causal structure from purely observational data (i.e., causal discovery), aiming to identify causal relationships among variables, is a fundamental task in machine lear…

cs.LG2023★ 4 cited

Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting

An Zhang, Fangfu Liu, Wenchang Ma +3

Under stringent model type and variable distribution assumptions, differentiable score-based causal discovery methods learn a directed acyclic graph (DAG) from observational data b…

cs.IR2023★ 50 cited

Invariant Collaborative Filtering to Popularity Distribution Shift

An Zhang, Jingnan Zheng, Xiang Wang +2

Collaborative Filtering (CF) models, despite their great success, suffer from severe performance drops due to popularity distribution shifts, where these changes are ubiquitous and…