activity
20202025
most citedFMGNN: Fused Manifold Graph Neural Network

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Less is More: Masking Elements in Image Condition Features Avoids Content Leakages in Style Transfer Diffusion Models

Lin Zhu, Xinbing Wang, Chenghu Zhou +2

Given a style-reference image as the additional image condition, text-to-image diffusion models have demonstrated impressive capabilities in generating images that possess the cont…

cs.NI2024★ 1 cited

On the Design of Physical Topology in OCS-based Clusters

Xinchi Han, Yongxi Lv, Weihao Jiang +16

Optical Circuit Switches (OCSes) are increasingly deployed in data center networks and AI clusters. By wiring the electrical ports of GPUs and electrical switches to the OCS ports,…

cs.LG2023★ 2 cited

FMGNN: Fused Manifold Graph Neural Network

Cheng Deng, Fan Xu, Jiaxing Ding +3

Graph representation learning has been widely studied and demonstrated effectiveness in various graph tasks. Most existing works embed graph data in the Euclidean space, while rece…

cs.CL2023

PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model

Cheng Deng, Bo Tong, Luoyi Fu +4

In the research of end-to-end dialogue systems, using real-world knowledge to generate natural, fluent, and human-like utterances with correct answers is crucial. However, domain-s…

cs.DL2022

KnowledgeShovel: An AI-in-the-Loop Document Annotation System for Scientific Knowledge Base Construction

Shao Zhang, Yuting Jia, Hui Xu +5

Constructing a comprehensive, accurate, and useful scientific knowledge base is crucial for human researchers synthesizing scientific knowledge and for enabling Al-driven scientifi…

cs.LG2020★ 1 cited

Certified Distributional Robustness on Smoothed Classifiers

Jungang Yang, Liyao Xiang, Ruidong Chen +3

The robustness of deep neural networks (DNNs) against adversarial example attacks has raised wide attention. For smoothed classifiers, we propose the worst-case adversarial loss ov…