Yijun Sun

60 papers A* 10A 6B 5C 2Journal 32Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-stage Flow Scheduling for LLM Serving.
CoRR
Yijun Sun, Xudong Liao, Songrun Xie, Hao Chen, Han Tian, Wenxue Li, Yiming Zhang, Kai Chen
2025 J jnl
A comprehensive benchmark study of methods for identifying significantly perturbed subnetworks in cancer.
Briefings Bioinform.
Le Yang, Runpu Chen, Steve Goodison, Yijun Sun
2025 A* conf
CEIO: A Cache-Efficient Network I/O Architecture for NIC-CPU Data Paths.
SIGCOMM
Bowen Liu, Xinyang Huang, Qijing Li, Zhuobin Huang, Yijun Sun, Wenxue Li, Junxue Zhang, Ping Yin, Kai Chen
2025 A* conf
Coflow Scheduling for LLM Training.
SIGCOMM
Xinchen Wan, Xinyu Yang, Kaiqiang Xu, Xudong Liao, Yilun Jin, Yijun Sun, Zhenghang Ren, Han Tian, Kai Chen
2025 A* conf
Enabling Efficient GPU Communication over Multiple NICs with FuseLink.
OSDI
Zhenghang Ren, Yuxuan Li, Zilong Wang, Xinyang Huang, Wenxue Li, Kaiqiang Xu, Xudong Liao, Yijun Sun, Bowen Liu, Han Tian, Junxue Zhang, Mingfei Wang, Zhizhen Zhong, Guyue Liu, Ying Zhang, Kai Chen
2025 J jnl
FLASH-FHE: A Heterogeneous Architecture for Fully Homomorphic Encryption Acceleration.
CoRR
Junxue Zhang, Xiaodian Cheng, Gang Cao, Meng Dai, Yijun Sun, Han Tian, Dian Shen, Yong Wang, Kai Chen
2025 A* conf
MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training.
SIGCOMM
Xudong Liao, Yijun Sun, Han Tian, Xinchen Wan, Yilun Jin, Zilong Wang, Zhenghang Ren, Xinyang Huang, Wenxue Li, Kin Fai Tse, Zhizhen Zhong, Guyue Liu, Ying Zhang, Xiaofeng Ye, Yiming Zhang, Kai Chen
2025 J jnl
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training.
CoRR
Xudong Liao, Yijun Sun, Han Tian, Xinchen Wan, Yilun Jin, Zilong Wang, Zhenghang Ren, Xinyang Huang, Wenxue Li, Kin Fai Tse, Zhizhen Zhong, Guyue Liu, Ying Zhang, Xiaofeng Ye, Yiming Zhang, Kai Chen
2025 A* conf
zkGPT: An Efficient Non-interactive Zero-knowledge Proof Framework for LLM Inference.
USENIX Security Symposium
Wenjie Qu, Yijun Sun, Xuanming Liu, Tao Lu, Yanpei Guo, Kai Chen, Jiaheng Zhang
2025 J jnl
zkGPT: An Efficient Non-interactive Zero-knowledge Proof Framework for LLM Inference.
IACR Cryptol. ePrint Arch.
Wenjie Qu, Yijun Sun, Xuanming Liu, Tao Lu, Yanpei Guo, Kai Chen, Jiaheng Zhang
2024 A* conf
Fast, Scalable, and Accurate Rate Limiter for RDMA NICs.
SIGCOMM
Zilong Wang, Xinchen Wan, Luyang Li, Yijun Sun, Peng Xie, Xin Wei, Qingsong Ning, Junxue Zhang, Kai Chen
2022 — conf
CBAM-DCE: A Non-Reference Image Correction Algorithm for Uneven Illumination.
AIPR
Mengyu Fan, Jin Lu, Xianguang Kong, Wei Sun, Yijun Sun
2022 J jnl
Computational approach to modeling microbiome landscapes associated with chronic human disease progression.
PLoS Comput. Biol.
Lu Li, Jiho Sohn, Robert J. Genco, Jean Wactawski-Wende, Steve Goodison, Patricia I. Diaz, Yijun Sun
2022 J jnl
V-ShadowGAN: generative adversarial networks for removing and generating shadows associated with vehicles based on unpaired data.
J. Electronic Imaging
Ziyue Li, Hui Hu, Yijun Sun
2021 J jnl
An efficient and effective method to identify significantly perturbed subnetworks in cancer.
Nat. Comput. Sci.
Le Yang, Runpu Chen, Steve Goodison, Yijun Sun
2021 B conf
Poster: Enabling Fast Forwarding in Hybrid Software-Defined Networks.
ICNP
Yijun Sun, Zehua Guo, Songshi Dou, Junjie Zhang, Changlin Li, Xiang Ouyang
2021 A conf
Video Quality and Popularity-aware Video Caching in Content Delivery Networks.
ICWS
Yijun Sun, Zehua Guo, Songshi Dou, Yuanqing Xia
2020 J jnl
Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data.
Bioinform.
Runpu Chen, Le Yang, Steve Goodison, Yijun Sun
2019 J jnl
A parallel computational framework for ultra-large-scale sequence clustering analysis.
Bioinform.
Wei Zheng, Qi Mao, Robert J. Genco, Jean Wactawski-Wende, Michael J. Buck, Yunpeng Cai, Yijun Sun
2019 J jnl
Hierarchical division clustering framework for categorical data.
Neurocomputing
Wei Wei, Jiye Liang, Xinyao Guo, Peng Song, Yijun Sun
2019 J jnl
SENSE: Siamese neural network for sequence embedding and alignment-free comparison.
Bioinform.
Wei Zheng, Le Yang, Robert J. Genco, Jean Wactawski-Wende, Michael J. Buck, Yijun Sun
2018 J jnl
Discernibility matrix based incremental attribute reduction for dynamic data.
Knowl. Based Syst.
Wei Wei, Xiaoying Wu, Jiye Liang, Junbiao Cui, Yijun Sun
2017 J jnl
ESPRIT-Forest: Parallel clustering of massive amplicon sequence data in subquadratic time.
PLoS Comput. Biol.
Yunpeng Cai, Wei Zheng, Jin Yao, Yujie Yang, Volker Mai, Qi Mao, Yijun Sun
2017 J jnl
Principal Graph and Structure Learning Based on Reversed Graph Embedding.
IEEE Trans. Pattern Anal. Mach. Intell.
Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2015 J jnl
A Novel Regularized Principal Graph Learning Framework on Explicit Graph Representation.
CoRR
Qi Mao, Li Wang, Ivor W. Tsang, Yijun Sun
2015 A* conf
Dimensionality Reduction Via Graph Structure Learning.
KDD
Qi Mao, Li Wang, Steve Goodison, Yijun Sun
2015 A conf
Feature Selection for Nonlinear Regression and its Application to Cancer Research.
SDM
Yijun Sun, Jin Yao, Steve Goodison
2015 J jnl
Feature selection and multi-kernel learning for adaptive graph regularized nonnegative matrix factorization.
Expert Syst. Appl.
Jim Jing-Yan Wang, Jianhua Z. Huang, Yijun Sun, Xin Gao
2015 J jnl
Feature selection for unsupervised learning through local learning.
Pattern Recognit. Lett.
Jin Yao, Qi Mao, Steve Goodison, Volker Mai, Yijun Sun
2015 A* conf
Parallel Hierarchical Clustering in Linearithmic Time for Large-Scale Sequence Analysis.
ICDM
Qi Mao, Wei Zheng, Li Wang, Yunpeng Cai, Volker Mai, Yijun Sun
2015 A conf
SimplePPT: A Simple Principal Tree Algorithm.
SDM
Qi Mao, Le Yang, Li Wang, Steve Goodison, Yijun Sun
2015 J jnl
Sparse structure regularized ranking.
Multim. Tools Appl.
Jim Jing-Yan Wang, Yijun Sun, Xin Gao
2014 B conf
Domain transfer nonnegative matrix factorization.
IJCNN
Jim Jing-Yan Wang, Yijun Sun, Halima Bensmail
2014 J jnl
From one graph to many: Ensemble transduction for content-based database retrieval.
Knowl. Based Syst.
Jim Jing-Yan Wang, Yijun Sun
2014 B conf
Semi-supervised local-learning-based feature selection.
IJCNN
Jim Jing-Yan Wang, Jin Yao, Yijun Sun
2013 J jnl
M-pick, a Modularity-based Method for OTU Picking of 16S rRNA Sequences.
BMC Bioinform.
Xiaoyu Wang, Jin Yao, Yijun Sun, Volker Mai
2012 J jnl
A large-scale benchmark study of existing algorithms for taxonomy-independent microbial community analysis.
Briefings Bioinform.
Yijun Sun, Yunpeng Cai, Susan M. Huse, Rob Knight, William G. Farmerie, Xiaoyu Wang, Volker Mai
2010 A conf
Fast Implementation of ℓ
SDM
Yunpeng Cai, Yijun Sun, Yubo Cheng, Jian Li, Steve Goodison
2010 J jnl
Local-Learning-Based Feature Selection for High-Dimensional Data Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Yijun Sun, Sinisa Todorovic, Steve Goodison
2009 J jnl
Feature extraction through local learning.
Stat. Anal. Data Min.
Yijun Sun, Dapeng Wu
2009 B conf
Online Feature Selection Algorithm with Bayesian l1 Regularization.
PAKDD
Yunpeng Cai, Yijun Sun, Jian Li, Steve Goodison
2009 J jnl
Pathway-Based Feature Selection Algorithm for Cancer Microarray Data.
Adv. Bioinformatics
Nirmalya Bandyopadhyay, Tamer Kahveci, Steve Goodison, Yijun Sun, Sanjay Ranka
2008 A conf
A Feature Selection Algorithm Capable of Handling Extremely Large Data Dimensionality.
SDM
Yijun Sun, Sinisa Todorovic, Steve Goodison
2008 A conf
A RELIEF Based Feature Extraction Algorithm.
SDM
Yijun Sun, Dapeng Wu
2008 C conf
Combining nomogram and microarray data for predicting prostate cancer recurrence.
BIBE
Yijun Sun, Yunpeng Cai, Steve Goodison
2008 J jnl
Resolve Redundancy with Constraints for obstacle and singularity Avoidance Subgoals.
Int. J. Robotics Autom.
Changwu Qiu, Qixin Cao, Yijun Sun
2008 B conf
Semi-supervised feature selection under logistic I-RELIEF framework.
ICPR
Yubo Cheng, Yunpeng Cai, Yijun Sun, Jian Li
2007 — conf
Estimating Microbial Population Densities Based on Genomic Signatures.
BIOCOMP
Yijun Sun, Fanhong Yu, Li Liu, William G. Farmerie
2007 J jnl
Improved breast cancer prognosis through the combination of clinical and genetic markers.
Bioinform.
Yijun Sun, Steve Goodison, Jian Li, Li Liu, William G. Farmerie
2007 J jnl
Increasing the Robustness of Boosting Algorithms within the Linear-programming Framework.
J. VLSI Signal Process.
Yijun Sun, Sinisa Todorovic, Jian Li
2007 J jnl
Iterative RELIEF for Feature Weighting: Algorithms, Theories, and Applications.
IEEE Trans. Pattern Anal. Mach. Intell.
Yijun Sun
2007 — conf
Predicting Breast Cancer Metastasis by Integrating Both Clinical and Genetic Markers.
BIOCOMP
Yijun Sun, Steve Goodison
2007 J jnl
Unifying multi-class AdaBoost algorithms with binary base learners under the margin framework.
Pattern Recognit. Lett.
Yijun Sun, Sinisa Todorovic, Jian Li
2006 — conf
Estimation Of Cross-Hybridization Signals Using Support Vector Regression.
IMSCCS (1)
Yijun Sun, Li Liu, Mick Popp, William G. Farmerie
2006 A* conf
Iterative RELIEF for feature weighting.
ICML
Yijun Sun, Jian Li
2006 J jnl
Reducing the Overfitting of Adaboost by Controlling its Data Distribution Skewness.
Int. J. Pattern Recognit. Artif. Intell.
Yijun Sun, Sinisa Todorovic, Jian Li
2006 — conf
Redundant Manipulator Control with Constraints for Subgoals.
CASE
Changwu Qiu, Qixin Cao, Yijun Sun
2005 A* conf
Unifying the error-correcting and output-code AdaBoost within the margin framework.
ICML
Yijun Sun, Sinisa Todorovic, Jian Li, Dapeng Wu
2004 C conf
Two new regularized AdaBoost algorithms.
ICMLA
Yijun Sun, Jian Li, William W. Hager
2002 J jnl
Existence of positive solutions for BVPs of fourth-order difference equations.
Appl. Math. Comput.
Binggen Zhang, Lingju Kong, Yijun Sun, Xinghua Deng