activity
20182024
most citedET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

550 citations · 806 across the 20 of their papers we have counts for

collaborators

20 papers

physics.flu-dyn2024★ 35 cited

Effects of inlet and secondary flow conditions on the flow field of rotating detonation engines with film cooling

Jingtian Yu, Songbai Yao, Jingzhe Li +3

A three-dimensional simulation of the rotating detonation engine (RDE) with film cooling is conducted. The aim of this study is to analyze the fluid dynamics and heat transfer of t…

cs.CV2023★ 2 cited

Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search

Yuanmin Tang, Jing Yu, Keke Gai +4

Cross-Modal sponsored search displays multi-modal advertisements (ads) when consumers look for desired products by natural language queries in search engines. Since multi-modal ads…

cs.CV2023★ 2 cited

Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval

Yuanmin Tang, Jing Yu, Keke Gai +4

Different from Composed Image Retrieval task that requires expensive labels for training task-specific models, Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks wi…

physics.flu-dyn2023★ 13 cited

Investigation of Multi-Stage Evaporation and Wave Multiplicity of Two-Phase Rotating Detonation Waves Fueled by Ethanol

Jianghong Li, Ying Lei, Songbai Yao +3

In this study, a numerical investigation based on the Eulerian-Lagrangian model is conducted to explore a rotating detonation engine (RDE) fueled by liquid ethanol. The focus is on…

math.OC2023★ 2 cited

Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints

Jiayang Li, Jing Yu, Boyi Liu +2

In this paper, we develop an approximation scheme for solving bilevel programs with equilibrium constraints, which are generally difficult to solve. Among other things, calculating…

cs.LG2022★ 13 cited

Convolution-enhanced Evolving Attention Networks

Yujing Wang, Yaming Yang, Zhuo Li +7

Attention-based neural networks, such as Transformers, have become ubiquitous in numerous applications, including computer vision, natural language processing, and time-series anal…

cs.GT2022★ 3 cited

Differentiable Bilevel Programming for Stackelberg Congestion Games

Jiayang Li, Jing Yu, Qianni Wang +3

In a Stackelberg congestion game (SCG), a leader aims to maximize their own gain by anticipating and manipulating the equilibrium state at which the followers settle by playing a c…

cs.CR2022★ 550 cited

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

Xinjie Lin, Gang Xiong, Gaopeng Gou +3

Encrypted traffic classification requires discriminative and robust traffic representation captured from content-invisible and imbalanced traffic data for accurate classification,…

cs.CL2021★ 4 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.CL2021★ 1 cited

MCR-Net: A Multi-Step Co-Interactive Relation Network for Unanswerable Questions on Machine Reading Comprehension

Wei Peng, Yue Hu, Jing Yu +4

Question answering systems usually use keyword searches to retrieve potential passages related to a question, and then extract the answer from passages with the machine reading com…

cs.LG2021★ 10 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★ 3 cited

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.CV2020★ 7 cited

CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation

Jing Yu, Yuan Chai, Yujing Wang +2

Scene graphs are semantic abstraction of images that encourage visual understanding and reasoning. However, the performance of Scene Graph Generation (SGG) is unsatisfactory when f…

cs.AI2020★ 116 cited

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.CV2020★ 2 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…

cs.CV2020

DAM: Deliberation, Abandon and Memory Networks for Generating Detailed and Non-repetitive Responses in Visual Dialogue

Xiaoze Jiang, Jing Yu, Yajing Sun +4

Visual Dialogue task requires an agent to be engaged in a conversation with human about an image. The ability of generating detailed and non-repetitive responses is crucial for the…

cs.CV2020★ 20 cited

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering

Zihao Zhu, Jing Yu, Yujing Wang +3

Fact-based Visual Question Answering (FVQA) requires external knowledge beyond visible content to answer questions about an image, which is challenging but indispensable to achieve…

cs.CV2019★ 8 cited

DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue

Xiaoze Jiang, Jing Yu, Zengchang Qin +4

Different from Visual Question Answering task that requires to answer only one question about an image, Visual Dialogue involves multiple questions which cover a broad range of vis…

cs.IR2018★ 15 cited

Modeling Text with Graph Convolutional Network for Cross-Modal Information Retrieval

Jing Yu, Yuhang Lu, Zengchang Qin +4

Cross-modal information retrieval aims to find heterogeneous data of various modalities from a given query of one modality. The main challenge is to map different modalities into a…