activity
20182021
most citedHigh Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks

30 citations · 45 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20211 cited

Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks

Le Xue, Mingfei Gao, Zeyuan Chen +2

We propose a novel framework to evaluate the robustness of transformer-based form field extraction methods via form attacks. We introduce 14 novel form transformations to evaluate…

cs.IR20216 cited

MC-SF: Slow-Fast Learning for Mobile-Cloud Collaborative Recommendation

Zeyuan Chen, Jiangchao Yao, Feng Wang +4

With the hardware development of mobile devices, it is possible to build the recommendation models on the mobile side to utilize the fine-grained features and the real-time feedbac…

cs.IR20211 cited

Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation

Zeyuan Chen, Wei Zhang, Junchi Yan +2

Sequential Recommendation aims to recommend items that a target user will interact with in the near future based on the historically interacted items. While modeling temporal dynam…

cs.CL20211 cited

Graph-Based Tri-Attention Network for Answer Ranking in CQA

Wei Zhang, Zeyuan Chen, Chao Dong +3

In community-based question answering (CQA) platforms, automatic answer ranking for a given question is critical for finding potentially popular answers in early times. The mainstr…

cs.CR20206 cited

Drift with Devil: Security of Multi-Sensor Fusion based Localization in High-Level Autonomous Driving under GPS Spoofing (Extended Version)

Junjie Shen, Jun Yeon Won, Zeyuan Chen +1

For high-level Autonomous Vehicles (AV), localization is highly security and safety critical. One direct threat to it is GPS spoofing, but fortunately, AV systems today predominant…

cs.CV201830 cited

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks

Zeyuan Chen, Shaoliang Nie, Tianfu Wu +1

We present a deep learning approach for high resolution face completion with multiple controllable attributes (e.g., male and smiling) under arbitrary masks. Face completion entail…