activity
20182021
most citedEvolving Attention with Residual Convolutions

10 citations · 24 across the 6 of their papers we have counts for

collaborators

10 papers

cs.CL20214 cited

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees

Jiangang Bai, Yujing Wang, Yiren Chen +4

Pre-trained language models like BERT achieve superior performances in various NLP tasks without explicit consideration of syntactic information. Meanwhile, syntactic information h…

cs.LG202110 cited

Evolving Attention with Residual Convolutions

Yujing Wang, Yaming Yang, Jiangang Bai +6

Transformer is a ubiquitous model for natural language processing and has attracted wide attentions in computer vision. The attention maps are indispensable for a transformer model…

cs.LG2020

End-to-End Learning and Intervention in Games

Jiayang Li, Jing Yu, Yu Marco Nie +1

In a social system, the self-interest of agents can be detrimental to the collective good, sometimes leading to social dilemmas. To resolve such a conflict, a central designer may…

eess.SY2020

Localized and Distributed H2 State Feedback Control

Jing Yu, Yuh-Shyang Wang, James Anderson

Distributed linear control design is crucial for large-scale cyber-physical systems. It is generally desirable to both impose information exchange (communication) constraints on th…

cs.AI2020

Cross-modal Knowledge Reasoning for Knowledge-based Visual Question Answering

Jing Yu, Zihao Zhu, Yujing Wang +3

Knowledge-based Visual Question Answering (KVQA) requires external knowledge beyond the visible content to answer questions about an image. This ability is challenging but indispen…

cs.CV20202 cited

KBGN: Knowledge-Bridge Graph Network for Adaptive Vision-Text Reasoning in Visual Dialogue

Xiaoze Jiang, Siyi Du, Zengchang Qin +2

Visual dialogue is a challenging task that needs to extract implicit information from both visual (image) and textual (dialogue history) contexts. Classical approaches pay more att…