most citedLearning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective

22 citations · 35 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 1 cited

Syntax Tree Constrained Graph Network for Visual Question Answering

Xiangrui Su, Qi Zhang, Chongyang Shi +2

Visual Question Answering (VQA) aims to automatically answer natural language questions related to given image content. Existing VQA methods integrate vision modeling and language…

cs.CL2023★ 2 cited

Causal Intervention for Abstractive Related Work Generation

Jiachang Liu, Qi Zhang, Chongyang Shi +3

Abstractive related work generation has attracted increasing attention in generating coherent related work that better helps readers grasp the background in the current research. H…

cs.SI2023★ 10 cited

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees

Qi Zhang, Yayi Yang, Chongyang Shi +4

The rapid growth of social media has caused tremendous effects on information propagation, raising extreme challenges in detecting rumors. Existing rumor detection methods typicall…

cs.LG2023★ 22 cited

Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective

Hui He, Qi Zhang, Shoujin Wang +3

Performance unfairness among variables widely exists in multivariate time series (MTS) forecasting models since such models may attend/bias to certain (advantaged) variables. Addre…

cs.CL2022

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters

Xinyu Jiang, Qi Zhang, Chongyang Shi +3

Story ending generation aims at generating reasonable endings for a given story context. Most existing studies in this area focus on generating coherent or diversified story ending…

cs.IR2022

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning

Qi Zhang, Liang Hu, Chongyang Shi +2

Case-based Reasoning (CBR) on high-dimensional and heterogeneous data is a trending yet challenging and computationally expensive task in the real world. A promising approach is to…