activity
20202024
most citedProbing the limit of hydrologic predictability with the Transformer network

7 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks

Zhuomin Chen, Jiaxing Zhang, Jingchao Ni +6

Graph Neural Networks (GNNs) have become a building block in graph data processing, with wide applications in critical domains. The growing needs to deploy GNNs in high-stakes appl…

cs.SI2023

Random Walk on Multiple Networks

Dongsheng Luo, Yuchen Bian, Yaowei Yan +4

Random Walk is a basic algorithm to explore the structure of networks, which can be used in many tasks, such as local community detection and network embedding. Existing random wal…

cs.LG2023★ 7 cited

Probing the limit of hydrologic predictability with the Transformer network

Jiangtao Liu, Yuchen Bian, Chaopeng Shen

For a number of years since its introduction to hydrology, recurrent neural networks like long short-term memory (LSTM) have proven remarkably difficult to surpass in terms of dail…

cs.CL2022

Data-Driven Adaptive Simultaneous Machine Translation

Guangxu Xun, Mingbo Ma, Yuchen Bian +7

In simultaneous translation (SimulMT), the most widely used strategy is the wait-k policy thanks to its simplicity and effectiveness in balancing translation quality and latency. H…

cs.AI2020★ 5 cited

Attentive Social Recommendation: Towards User And Item Diversities

Dongsheng Luo, Yuchen Bian, Xiang Zhang +1

Social recommendation system is to predict unobserved user-item rating values by taking advantage of user-user social relation and user-item ratings. However, user/item diversities…