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…