Jun Huan

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 92

Top Venues

CoRR

KDD

BIBM

ACM Trans. Knowl. Discov. Data

Publications

Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
Inference Optimization of Foundation Models on AI Accelerators. KDD (2024)
Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan
NL2Code-Reasoning and Planning with LLMs for Code Development. KDD (2024)
Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou
Reasoning and Planning with Large Language Models in Code Development. KDD (2024)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. KDD (2024)
Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang, Jun Huan
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium. CoRR (2024)
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
Temporal Output Discrepancy for Loss Estimation-Based Active Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
Inference Optimization of Foundation Models on AI Accelerators. CoRR (2024)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
Random Walk on Multiple Networks. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
The 9th SIGKDD International Workshop on Mining and Learning from Time Series. KDD (2023)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
Random Walk on Multiple Networks. CoRR (2023)
Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan
Training Large-scale Foundation Models on Emerging AI Chips. KDD (2023)
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
Fast Federated Machine Unlearning with Nonlinear Functional Theory. ICML (2023)
Patrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang
The Sixth International Workshop on Automation in Machine Learning. KDD (2022)
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan
Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms. CoRR (2022)
Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD (2022)
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang, Ji Zhang, Jun Huan
Learning Causal Structures Based on Divide and Conquer. IEEE Trans. Cybern. 52 (5) (2022)
Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training. ACM Trans. Knowl. Discov. Data 16 (6) (2022)
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
Temporal Output Discrepancy for Loss Estimation-based Active Learning. CoRR (2022)
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
Parameter-Free Style Projection for Arbitrary Image Style Transfer. ICASSP (2022)
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
Semi-Supervised Active Learning with Temporal Output Discrepancy. CoRR (2021)
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter, Weiguo Zheng, Lei Zou
MSQ-Index: A Succinct Index for Fast Graph Similarity Search. IEEE Trans. Knowl. Data Eng. 33 (6) (2021)
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation. ACM Trans. Intell. Syst. Technol. 12 (5) (2021)
Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics. ACM Trans. Knowl. Discov. Data 15 (2) (2021)
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
Semi-Supervised Active Learning with Temporal Output Discrepancy. ICCV (2021)
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu
On the Noisy Gradient Descent that Generalizes as SGD. ICML (2020)
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. ICLR (2020)
Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo
SDA: Multi-Party Parallelized Sparse Discriminant Learning. ACM Trans. Knowl. Discov. Data 14 (3) (2020)
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
Ultrafast Photorealistic Style Transfer via Neural Architecture Search. AAAI (2020)
Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang
Rethinking Local Community Detection: Query Nodes Replacement. ICDM (2020)
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
Generating Person Images with Appearance-aware Pose Stylizer. CoRR (2020)
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
Local Community Detection in Multiple Networks. KDD (2020)
Zhigang Sun, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
Feature reduction based on semantic similarity for graph classification. Neurocomputing 397 (2020)
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
Generating Person Images with Appearance-aware Pose Stylizer. IJCAI (2020)
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
Parameter-Free Style Projection for Arbitrary Style Transfer. CoRR (2020)
Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan
Attentive Social Recommendation: Towards User And Item Diversities. CoRR (2020)
Sohaib Kiani, Sana Awan, Jun Huan, Fengjun Li, Bo Luo
WOLF: automated machine learning workflow management framework for malware detection and other applications. HotSoS (2020)
Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan
SecureGBM: Secure Multi-Party Gradient Boosting. CoRR (2019)
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks. ICLR (Poster) (2019)
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
SpHMC: Spectral Hamiltonian Monte Carlo. AAAI (2019)
Tianyang Wang, Jun Huan, Michelle Zhu
Instance-Based Deep Transfer Learning. WACV (2019)
Hao Zhang, Shuigeng Zhou, Jihong Guan, Jun Huan
Measuring Conditional Independence by Independent Residuals for Causal Discovery. ACM Trans. Intell. Syst. Technol. 10 (5) (2019)
Qiang Zhou, Wen'an Zhou, Bin Yang, Jun Huan
Deep cycle autoencoder for unsupervised domain adaptation with generative adversarial networks. IET Comput. Vis. 13 (7) (2019)
Zhi Feng, Jun Huan, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu
SecureGBM: Secure Multi-Party Gradient Boosting. IEEE BigData (2019)
Hanchao Wang, Jun Huan
AGAN: Towards Automated Design of Generative Adversarial Networks. CoRR (2019)
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
Towards Making Deep Transfer Learning Never Hurt. CoRR (2019)
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu
The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation. CoRR (2019)
Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma
Fast Universal Style Transfer for Artistic and Photorealistic Rendering. CoRR (2019)
Yingzhen Yang, Nebojsa Jojic, Jun Huan
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary. CoRR (2019)
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
Ultrafast Photorealistic Style Transfer via Neural Architecture Search. CoRR (2019)
Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li
Understanding Actors and Evaluating Personae with Gaussian Embeddings. AAAI (2019)
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
An efficient algorithm for graph edit distance computation. Knowl. Based Syst. 163 (2019)
Jie An, Haoyi Xiong, Jinwen Ma, Jiebo Luo, Jun Huan
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks. CoRR (2019)
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks. CoRR (2019)
Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. CoRR (2019)
Fan Wu, Shuigeng Zhou, Kang Wang, Yi Xu, Jihong Guan, Jun Huan
Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning. PRICAI (1) (2019)
Yingzhen Yang, Xingjian Li, Jun Huan
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity. CoRR (2019)
Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent. CoRR (2019)
Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu
Rethink Gaussian Denoising Prior for Real-World Image Denoising. ICTAI (2019)
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
Towards Making Deep Transfer Learning Never Hurt. ICDM (2019)
Dou Goodman, Xingjian Li, Jun Huan, Tao Wei
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing. CoRR (2019)
Tianyang Wang, Jun Huan, Michelle Zhu
Instance-based Deep Transfer Learning. CoRR (2018)
Tianyang Wang, Jun Huan, Bo Li
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. ICTAI (2018)
Xiaoli Li, Jun Huan
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity. CIKM (2018)
Tianyang Wang, Jun Huan, Bo Li
Data Dropout: Optimizing Training Data for Convolutional Neural Networks. CoRR (2018)
Joseph St. Amand, Jun Huan
Sparse Compositional Local Metric Learning. KDD (2017)
Xiaoli Li, Jun Huan
Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics. KDD (2017)
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
Efficient Graph Similarity Search in External Memory. IEEE Access 5 (2017)
Alexios Koutsoukas, Keith J. Monaghan, Xiaoli Li, Jun Huan
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data. J. Cheminformatics 9 (1) (2017)
Xiaoli Li, Sai Nivedita Chandrasekaran, Jun Huan
Lifelong multi-task multi-view learning using latent spaces. IEEE BigData (2017)
Chao Lan, Jun Huan
Discriminatory Transfer. CoRR (2017)
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
Fast Computation of Graph Edit Distance. CoRR (2017)
Chao Lan, Yuhao Yang, Xiaoli Li, Bo Luo, Jun Huan
Learning Social Circles in Ego-Networks Based on Multi-View Network Structure. IEEE Trans. Knowl. Data Eng. 29 (8) (2017)
Xiaoli Li, Jun Huan
aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers. CIKM (2016)
Joseph St. Amand, Jun Huan
Discriminative View Learning for Single View Co-Training. CIKM (2016)
Sai Nivedita Chandrasekaran, Jun Huan
Weighted multiview learning for predicting drug-disease associations. BIBM (2016)
Chao Lan, Xiaoli Li, Yujie Deng, Joseph St. Amand, Jun Huan
A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization. ICPR (2016)
Chao Lan, Yujie Deng, Xiaoli Li, Jun Huan
Co-regularized least square regression for multi-view multi-class classification. IJCNN (2016)
Hongwei Huo, Zhigang Sun, Shuangjiang Li, Jeffrey Scott Vitter, Xinkun Wang, Qiang Yu, Jun Huan
CS2A: A Compressed Suffix Array-Based Method for Short Read Alignment. DCC (2016)
Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Nisansa de Silva, Mohan Vamsi Kasukurthi, Vikash Kumar Jha, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan
The development of non-coding RNA ontology. Int. J. Data Min. Bioinform. 15 (3) (2016)
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
Learning with Positive and Unknown Features. BIBM (2016)
Qiang Yu, Hongwei Huo, Ruixing Zhao, Dazheng Feng, Jeffrey Scott Vitter, Jun Huan
) motif search. BMC Bioinform. 17 (S-9) (2016)
Chao Lan, Yujie Deng, Jun Huan
A disagreement-based active matrix completion approach with provable guarantee. IJCNN (2016)
Chao Lan, Jianxin Wang, Jun Huan
Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization. UAI (2016)
Sai Nivedita Chandrasekaran, Alexios Koutsoukas, Jun Huan
Investigating Multiview and Multitask Learning Frameworks for Predicting Drug-Disease Associations. BCB (2016)
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
MSQ-Index: A Succinct Index for Fast Graph Similarity Search. CoRR (2016)
Chao Lan, Xiaoli Li, Yujie Deng, Jun Huan
Partial Collective Matrix Factorization and its PAC Bound. ISAIM (2016)
Jun Huan
Deep-Learning: Investigating feed-forward deep Neural Networks for modeling high throughput chemical bioactivity data. BIBM (2016)
Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang, Xiaowei Wang, Zixing Liu, Glen M. Borchert, Ming Tan
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology. J. Biomed. Semant. 7 (2016)
Gowtham Kumar Golla, Jordan A. Carlson, Jun Huan, Jacqueline Kerr, Tarrah Mitchell, Kelsey Borner
Developing Novel Machine Learning Algorithms to Improve Sedentary Assessment for Youth Health Enhancement. ICHI (2016)
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
A distributed and privatized framework for drug-target interaction prediction. BIBM (2016)
Qiang Yu, Hongwei Huo, Ruixing Zhao, Dazheng Feng, Jeffrey Scott Vitter, Jun Huan
Reference sequence selection for motif searches. BIBM (2015)
Qiang Yu, Hongwei Huo, Jeffrey Scott Vitter, Jun Huan, Yakov Nekrich
An Efficient Exact Algorithm for the Motif Stem Search Problem over Large Alphabets. IEEE ACM Trans. Comput. Biol. Bioinform. 12 (2) (2015)
Chao Lan, Jun Huan
Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning. KDD (2015)
Meenakshi Mishra, Jun Huan
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning. CIKM (2015)
Yuhao Yang, Chao Lan, Xiaoli Li, Bo Luo, Jun Huan
Automatic Social Circle Detection Using Multi-View Clustering. CIKM (2014)
Qiang Yu, Hongwei Huo, Xiaoyang Chen, Haitao Guo, Jeffrey Scott Vitter, Jun Huan
An efficient motif finding algorithm for large DNA data sets. BIBM (2014)
Hongliang Fei, Jun Huan
Structured Sparse Boosting for Graph Classification. ACM Trans. Knowl. Discov. Data 9 (1) (2014)
Said Bleik, Meenakshi Mishra, Jun Huan, Min Song
Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (5) (2013)

Jun Huan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Huan