Yichen Xu

According to our database, Yichen Xu authored at least 40 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Model-Based Study on the Limit of the Dynamic Load Regulation Performance of a Digital Low Dropout Regulator.

Yichen Xu, Zhaoqing Wang, Jonghyun Oh, Mingoo Seok

IEEE Trans. Very Large Scale Integr. Syst., October, 2024

Efficient and effective algorithms for densest subgraph discovery and maintenance.

Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao

VLDB J., September, 2024

Fixed-Time Bipartite Synchronization of a Signed Graph: An Economical and Practical Strategy.

Yichen Xu

IEEE Trans. Circuits Syst. II Express Briefs, March, 2024

Remote-Sensing Image Change Detection Based on Adjacent-Level Feature Fusion and Dense Skip Connections.

Bin Huang, Yichen Xu, Feng Zhang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Degrees of Separation: A Flexible Type System for Safe Concurrency.

Yichen Xu, Aleksander Boruch-Gruszecki, Martin Odersky

Proc. ACM Program. Lang., 2024

Generalized sleep decoding with basal ganglia signals in multiple movement disorders.

Zixiao Yin, Huiling Yu, Tianshuo Yuan, Clay Smyth, Md Fahim Anjum, Guanyu Zhu, Ruoyu Ma, Yichen Xu, Qi An, Yifei Gan, Timon Merk, Guofan Qin, Hutao Xie, Ning Zhang, Chunxue Wang, Yin Jiang, Fangang Meng, Anchao Yang, Wolf-Julian Neumann, Philip A. Starr, Simon Little, Luming Li, Jianguo Zhang

npj Digit. Medicine, 2024

Robust locally nonlinear embedding (RLNE) for dimensionality reduction of high-dimensional data with noise.

Yichen Xu, Eric Li

Neurocomputing, 2024

Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance.

Ryumei Nakada, Yichen Xu, Lexin Li, Linjun Zhang

CoRR, 2024

TinyChart: Efficient Chart Understanding with Visual Token Merging and Program-of-Thoughts Learning.

Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang

CoRR, 2024

VersaT2I: Improving Text-to-Image Models with Versatile Reward.

Jianshu Guo, Wenhao Chai, Jie Deng, Hsiang-Wei Huang, Tian Ye, Yichen Xu, Jiawei Zhang, Jenq-Neng Hwang, Gaoang Wang

CoRR, 2024

Online image augmentation via regional cross-attention.

Chuan Yin, Yichen Xu, Siyi Zhang, Jingyuan Jin, Pengquan Zhang

Comput. Electr. Eng., 2024

A Formal Foundation of Reach Capabilities.

Yichen Xu, Martin Odersky

Proceedings of the Companion Proceedings of the 8th International Conference on the Art, 2024

TinyChart: Efficient Chart Understanding with Program-of-Thoughts Learning and Visual Token Merging.

Liang Zhang, Anwen Hu, Haiyang Xu, Ming Yan, Yichen Xu, Qin Jin, Ji Zhang, Fei Huang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

URHand: Universal Relightable Hands.

Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo, Chen Cao, Stanislav Pidhorskyi, Tomas Simon, Rohan Joshi, Yuan Dong, Yichen Xu, Bernardo Pires, He Wen, Lucas Evans, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Shoou-I Yu, Javier Romero, Michael Zollhöfer, Yaser Sheikh, Ziwei Liu, Shunsuke Saito

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unsupervised Graph Representation Learning with Cluster-aware Self-training and Refining.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu

ACM Trans. Intell. Syst. Technol., October, 2023

Efficient and Effective Algorithms for Generalized Densest Subgraph Discovery.

Yichen Xu, Chenhao Ma, Yixiang Fang, Zhifeng Bao

Proc. ACM Manag. Data, 2023

Devil in the Number: Towards Robust Multi-modality Data Filter.

Yichen Xu, Zihan Xu, Wenhao Chai, Zhonghan Zhao, Enxin Song, Gaoang Wang

CoRR, 2023

A Mechanized Theory of the Box Calculus.

Joseph Fourment, Yichen Xu

CoRR, 2023

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

Yichen Xu, Martin Odersky

CoRR, 2023

Formalizing Box Inference for Capture Calculus.

Yichen Xu, Martin Odersky

CoRR, 2023

2022

A case for DOT: theoretical foundations for objects with pattern matching and GADT-style reasoning.

Aleksander Boruch-Gruszecki, Radoslaw Wasko, Yichen Xu, Lionel Parreaux

Proc. ACM Program. Lang., 2022

A Survey on Pretrained Language Models for Neural Code Intelligence.

Yichen Xu, Yanqiao Zhu

CoRR, 2022

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

Hui Wang, Jieren Cheng, Yichen Xu, Sirui Ni, Zaijia Yang, Jiangpeng Li

CoRR, 2022

Structure-Enhanced Heterogeneous Graph Contrastive Learning.

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Survey on Deep Graph Generation: Methods and Applications.

Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu

Proceedings of the Learning on Graphs Conference, 2022

2021

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

Chuyi Wu, Feng Zhang, Junshi Xia, Yichen Xu, Guoqing Li, Jibo Xie, Zhenhong Du, Renyi Liu

Remote. Sens., 2021

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

Yanqiao Zhu, Yichen Xu, Hejie Cui, Carl Yang, Qiang Liu, Shu Wu

CoRR, 2021

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

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2021

Graph Contrastive Learning with Adaptive Augmentation.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Implementing path-dependent GADT reasoning for Scala 3.

Yichen Xu, Aleksander Boruch-Gruszecki, Lionel Parreaux

Proceedings of the SCALA 2021: Proceedings of the 12th ACM SIGPLAN International Symposium on Scala, 2021

An Empirical Study of Graph Contrastive Learning.

Yanqiao Zhu, Yichen Xu, Qiang Liu, Shu Wu

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Fabric Surface Defect Detection Based on GMRF Model.

Yichen Xu, Fanwu Meng, Lizhong Wang, Mingyi Zhang, Changshuo Wu

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.

Yichen Xu, Yanqiao Zhu, Feng Yu, Qiang Liu, Shu Wu

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.

Weijian Ma, Xinyuan Zhang, Yichen Xu, Fei Gao

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

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

Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang

CoRR, 2020

Deep Graph Contrastive Representation Learning.

Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang

CoRR, 2020

2019

HColonDB: A Database for Human Colon Cancer Research.

Xiaodan Mao, Yichen Xu, Zhenran Jiang

J. Comput. Biol., 2019

2018

Construction and Mitigation of User-Behavior-Based Covert Channels on Smartphones.

Wen Qi, Wanfu Ding, Xinyu Wang, Yonghang Jiang, Yichen Xu, Jianping Wang, Kejie Lu

IEEE Trans. Mob. Comput., 2018

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

Yi Song, Yichen Xu, Haiwen Liu, Zhewang Ma

IEICE Electron. Express, 2018

2015

Privacy Leaks When You Play Games: A Novel User-Behavior-Based Covert Channel on Smartphones.

Wen Qi, Yichen Xu, Wanfu Ding, Yonghang Jiang, Jianping Wang, Kejie Lu

Proceedings of the 23rd IEEE International Conference on Network Protocols, 2015