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Weilin Cong
ORCID
Publication Activity (10 Years)
Years Active: 2017-2023
Publications (10 Years): 21
Top Topics
Convolutional Network
Tree Reweighted
Random Fields
Fully Connected
Top Venues
CoRR
ICLR
NeurIPS
AISTATS
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Publications
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Weilin Cong
,
Si Zhang
,
Jian Kang
,
Baichuan Yuan
,
Hao Wu
,
Xin Zhou
,
Hanghang Tong
,
Mehrdad Mahdavi
Do We Really Need Complicated Model Architectures For Temporal Networks?
ICLR
(2023)
Weilin Cong
,
Mehrdad Mahdavi
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection.
AISTATS
(2023)
Weilin Cong
,
Si Zhang
,
Jian Kang
,
Baichuan Yuan
,
Hao Wu
,
Xin Zhou
,
Hanghang Tong
,
Mehrdad Mahdavi
Do We Really Need Complicated Model Architectures For Temporal Networks?
CoRR
(2023)
Ryan Tan
,
Heather Shoenberger
,
Weilin Cong
,
Mehrdad Mahdavi
Understanding the Structural Components Behind the Psychological Effects of Autonomous Sensory Meridian Response (ASMR) With Machine Learning and Experimental Methods.
J. Media Psychol. Theor. Methods Appl.
35 (3) (2023)
Weilin Cong
,
Mehrdad Mahdavi
Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection.
CoRR
(2023)
Weilin Cong
,
Yanhong Wu
,
Yuandong Tian
,
Mengting Gu
,
Yinglong Xia
,
Chun-cheng Jason Chen
,
Mehrdad Mahdavi
DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability.
SDM
(2023)
Xiao Lin
,
Jian Kang
,
Weilin Cong
,
Hanghang Tong
BeMap: Balanced Message Passing for Fair Graph Neural Network.
CoRR
(2023)
Morteza Ramezani
,
Weilin Cong
,
Mehrdad Mahdavi
,
Mahmut T. Kandemir
,
Anand Sivasubramaniam
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks.
ICLR
(2022)
Huaipan Jiang
,
Jian Wang
,
Weilin Cong
,
Yihe Huang
,
Morteza Ramezani
,
Anup Sarma
,
Nikolay V. Dokholyan
,
Mehrdad Mahdavi
,
Mahmut T. Kandemir
Predicting Protein-Ligand Docking Structure with Graph Neural Network.
J. Chem. Inf. Model.
62 (12) (2022)
Morteza Ramezani
,
Weilin Cong
,
Mehrdad Mahdavi
,
Mahmut T. Kandemir
,
Anand Sivasubramaniam
Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks.
CoRR
(2021)
Weilin Cong
,
Morteza Ramezani
,
Mehrdad Mahdavi
On the Importance of Sampling in Learning Graph Convolutional Networks.
CoRR
(2021)
Weilin Cong
,
Yanhong Wu
,
Yuandong Tian
,
Mengting Gu
,
Yinglong Xia
,
Mehrdad Mahdavi
,
Chun-cheng Jason Chen
Dynamic Graph Representation Learning via Graph Transformer Networks.
CoRR
(2021)
Weilin Cong
,
Morteza Ramezani
,
Mehrdad Mahdavi
On Provable Benefits of Depth in Training Graph Convolutional Networks.
CoRR
(2021)
Weilin Cong
,
Morteza Ramezani
,
Mehrdad Mahdavi
On Provable Benefits of Depth in Training Graph Convolutional Networks.
NeurIPS
(2021)
Weilin Cong
,
Rana Forsati
,
Mahmut T. Kandemir
,
Mehrdad Mahdavi
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks.
KDD
(2020)
Dule Shu
,
Weilin Cong
,
Jiaming Chai
,
Conrad S. Tucker
Encrypted rich-data steganography using generative adversarial networks.
WiseML@WiSec
(2020)
Morteza Ramezani
,
Weilin Cong
,
Mehrdad Mahdavi
,
Anand Sivasubramaniam
,
Mahmut T. Kandemir
GCN meets GPU: Decoupling "When to Sample" from "How to Sample".
NeurIPS
(2020)
Weilin Cong
,
Rana Forsati
,
Mahmut T. Kandemir
,
Mehrdad Mahdavi
Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks.
CoRR
(2020)
Wei Liu
,
Weilin Cong
,
Chengyu Hu
,
Peng Lu
,
Jinmei Lai
Balance of memory footprint and runtime for high-density routing in large-scale FPGAs.
ASICON
(2019)
Weilin Cong
,
William Wang
,
Wang-Chien Lee
Scene Graph Generation via Conditional Random Fields.
CoRR
(2018)
Weilin Cong
,
Sanyuan Zhao
,
Hui Tian
,
Jianbing Shen
Improved Face Detection and Alignment using Cascade Deep Convolutional Network.
CoRR
(2017)