Yichen Xu

According to our database1, Yichen Xu authored at least 24 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 


On csauthors.net:


Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery.
Proc. ACM Manag. Data, 2023

A Mechanized Theory of the Box Calculus.
CoRR, 2023

Degrees of Separation: A Flexible Type System for Data Race Prevention.
CoRR, 2023

Formalizing Box Inference for Capture Calculus.
CoRR, 2023

A case for DOT: theoretical foundations for objects with pattern matching and GADT-style reasoning.
Proc. ACM Program. Lang., 2022

A Survey on Pretrained Language Models for Neural Code Intelligence.
CoRR, 2022

A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic Arms.
CoRR, 2022

Structure-Enhanced Heterogeneous Graph Contrastive Learning.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Survey on Deep Graph Generation: Methods and Applications.
Proceedings of the Learning on Graphs Conference, 2022

Building Damage Detection Using U-Net with Attention Mechanism from Pre- and Post-Disaster Remote Sensing Datasets.
Remote. Sens., 2021

Structure-Aware Hard Negative Mining for Heterogeneous Graph Contrastive Learning.
CoRR, 2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.
CoRR, 2021

Graph Contrastive Learning with Adaptive Augmentation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Implementing path-dependent GADT reasoning for Scala 3.
Proceedings of the SCALA 2021: Proceedings of the 12th ACM SIGPLAN International Symposium on Scala, 2021

An Empirical Study of Graph Contrastive Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fabric Surface Defect Detection Based on GMRF Model.
Proceedings of the ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems, Chongqing, China, May 28, 2021

Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Loading is the Key: A Novel Genetic Quantum Algorithm for SDVRP.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning.
CoRR, 2020

Deep Graph Contrastive Representation Learning.
CoRR, 2020

HColonDB: A Database for Human Colon Cancer Research.
J. Comput. Biol., 2019

Construction and Mitigation of User-Behavior-Based Covert Channels on Smartphones.
IEEE Trans. Mob. Comput., 2018

Design of triple-band bandpass filter using quad-mode stepped impedance resonator (SIR) with shorted stub.
IEICE Electron. Express, 2018

Privacy Leaks When You Play Games: A Novel User-Behavior-Based Covert Channel on Smartphones.
Proceedings of the 23rd IEEE International Conference on Network Protocols, 2015