Jun Huan

188 papers A* 35A 16B 13C 2Misc 3Journal 72Unranked 39
YearRankTypeTitle / Venue / Authors
2025 A* conf
Enhancing Language Model Agents using Diversity of Thoughts.
ICLR
Vijay Lingam, Behrooz Omidvar-Tehrani, Sujay Sanghavi, Gaurav Gupta, Sayan Ghosh, Linbo Liu, Jun Huan, Anoop Deoras
2025 — conf
KDD 2025 - AI Reasoning Day.
KDD (2)
Jun Huan, Xiangyu Zhang, Ye Xing, Wee Hyong Tok, Ruzica Piskac
2025 J jnl
MURPHY: Multi-Turn GRPO for Self Correcting Code Generation.
CoRR
Chanakya Ekbote, Vijay Lingam, Behrooz Omidvar-Tehrani, Jun Huan, Sujay Sanghavi, Anoop Deoras, Stefano Soatto
2025 J jnl
MigrationBench: Repository-Level Code Migration Benchmark from Java 8.
CoRR
Linbo Liu, Xinle Liu, Qiang Zhou, Lin Chen, Yihan Liu, Hoan Nguyen, Behrooz Omidvar-Tehrani, Xi Shen, Jun Huan, Omer Tripp, Anoop Deoras
2025 — conf
The 11th Mining and Learning from Time Series (MILETS): From Classical Methods to LLMs.
KDD (2)
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Yuxuan Liang, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2025 A* conf
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
ICLR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2025 J jnl
Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning.
CoRR
Tianci Liu, Ruirui Li, Yunzhe Qi, Hui Liu, Xianfeng Tang, Tianqi Zheng, Qingyu Yin, Monica Xiao Cheng, Jun Huan, Haoyu Wang, Jing Gao
2024 B conf
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium.
IEEE Big Data
Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang, Jun Huan
2024 J jnl
HLAT: High-quality Large Language Model Pre-trained on AWS Trainium.
CoRR
Haozheng Fan, Hao Zhou, Guangtai Huang, Parameswaran Raman, Xinwei Fu, Gaurav Gupta, Dhananjay Ram, Yida Wang, Jun Huan
2024 B ed.
IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024
IEEE Big Data
Wei Ding, Chang-Tien Lu, Fusheng Wang, Liping Di, Kesheng Wu, Jun Huan, Raghu Nambiar, Jundong Li, Filip Ilievski, Ricardo Baeza-Yates, Xiaohua Hu
2024 A* conf
Inference Optimization of Foundation Models on AI Accelerators.
KDD
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024 J jnl
Inference Optimization of Foundation Models on AI Accelerators.
CoRR
Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024 A* conf
NL2Code-Reasoning and Planning with LLMs for Code Development.
KDD
Ye Xing, Jun Huan, Wee Hyong Tok, Cong Shen, Johannes Gehrke, Katherine Lin, Arjun Guha, Omer Tripp, Murali Krishna Ramanathan
2024 A* conf
Reasoning and Planning with Large Language Models in Code Development.
KDD
Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou
2024 J jnl
Temporal Output Discrepancy for Loss Estimation-Based Active Learning.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2024 A* conf
The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs.
KDD
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Stefan Zohren, Yuriy Nevmyvaka
2023 A* conf
Fast Federated Machine Unlearning with Nonlinear Functional Theory.
ICML
Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan
2023 J jnl
Random Walk on Multiple Networks.
CoRR
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
2023 J jnl
Random Walk on Multiple Networks.
IEEE Trans. Knowl. Data Eng.
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiong Bill Yu, Jun Huan, Xiao Liu, Xiang Zhang
2023 A* conf
The 9th SIGKDD International Workshop on Mining and Learning from Time Series.
KDD
Sanjay Purushotham, Dongjin Song, Qingsong Wen, Jun Huan, Cong Shen, Yuriy Nevmyvaka
2023 A* conf
Training Large-scale Foundation Models on Emerging AI Chips.
KDD
Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan
2022 A* conf
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications.
KDD
Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
2022 J jnl
GrOD: Deep Learning with Gradients Orthogonal Decomposition for Knowledge Transfer, Distillation, and Adversarial Training.
ACM Trans. Knowl. Discov. Data
Haoyi Xiong, Ruosi Wan, Jian Zhao, Zeyu Chen, Xingjian Li, Zhanxing Zhu, Jun Huan
2022 J jnl
Knowledge Distillation with Attention for Deep Transfer Learning of Convolutional Networks.
ACM Trans. Knowl. Discov. Data
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Ji Liu, Cheng-Zhong Xu, Dejing Dou
2022 J jnl
Learning Causal Structures Based on Divide and Conquer.
IEEE Trans. Cybern.
Hao Zhang, Shuigeng Zhou, Chuanxu Yan, Jihong Guan, Xin Wang, Ji Zhang, Jun Huan
2022 Misc conf
Parameter-Free Style Projection for Arbitrary Image Style Transfer.
ICASSP
Siyu Huang, Haoyi Xiong, Tianyang Wang, Bihan Wen, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2022 J jnl
Temporal Output Discrepancy for Loss Estimation-based Active Learning.
CoRR
Siyu Huang, Tianyang Wang, Haoyi Xiong, Bihan Wen, Jun Huan, Dejing Dou
2022 A* conf
The Sixth International Workshop on Automation in Machine Learning.
KDD
Patrick Koch, Brett Wujek, Jun Liu, Jun Huan, Tao Wang
2022 J jnl
Towards Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms.
CoRR
Linbo Liu, Youngsuk Park, Trong Nghia Hoang, Hilaf Hasson, Jun Huan
2021 J jnl
"In-Network Ensemble": Deep Ensemble Learning with Diversified Knowledge Distillation.
ACM Trans. Intell. Syst. Technol.
Xingjian Li, Haoyi Xiong, Zeyu Chen, Jun Huan, Cheng-Zhong Xu, Dejing Dou
2021 J jnl
MSQ-Index: A Succinct Index for Fast Graph Similarity Search.
IEEE Trans. Knowl. Data Eng.
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter, Weiguo Zheng, Lei Zou
2021 J jnl
Sampling Sparse Representations with Randomized Measurement Langevin Dynamics.
ACM Trans. Knowl. Discov. Data
Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan, Dejing Dou
2021 A* conf
Semi-Supervised Active Learning with Temporal Output Discrepancy.
ICCV
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2021 J jnl
Semi-Supervised Active Learning with Temporal Output Discrepancy.
CoRR
Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou
2020 J jnl
Attentive Social Recommendation: Towards User And Item Diversities.
CoRR
Dongsheng Luo, Yuchen Bian, Xiang Zhang, Jun Huan
2020 A* conf
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary.
ICLR
Yingzhen Yang, Jiahui Yu, Nebojsa Jojic, Jun Huan, Thomas S. Huang
2020 J jnl
Feature reduction based on semantic similarity for graph classification.
Neurocomputing
Zhigang Sun, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
2020 A* conf
Generating Person Images with Appearance-aware Pose Stylizer.
IJCAI
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
2020 J jnl
Generating Person Images with Appearance-aware Pose Stylizer.
CoRR
Siyu Huang, Haoyi Xiong, Zhi-Qi Cheng, Qingzhong Wang, Xingran Zhou, Bihan Wen, Jun Huan, Dejing Dou
2020 A* conf
Local Community Detection in Multiple Networks.
KDD
Dongsheng Luo, Yuchen Bian, Yaowei Yan, Xiao Liu, Jun Huan, Xiang Zhang
2020 J jnl
MP
ACM Trans. Knowl. Discov. Data
Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan, Zhishan Guo
2020 A* conf
On the Noisy Gradient Descent that Generalizes as SGD.
ICML
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu
2020 J jnl
On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
2020 J jnl
Parameter-Free Style Projection for Arbitrary Style Transfer.
CoRR
Siyu Huang, Haoyi Xiong, Tianyang Wang, Qingzhong Wang, Zeyu Chen, Jun Huan, Dejing Dou
2020 A* conf
Rethinking Local Community Detection: Query Nodes Replacement.
ICDM
Yuchen Bian, Jun Huan, Dejing Dou, Xiang Zhang
2020 A* conf
Ultrafast Photorealistic Style Transfer via Neural Architecture Search.
AAAI
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
2020 — conf
WOLF: automated machine learning workflow management framework for malware detection and other applications.
HotSoS
Sohaib Kiani, Sana Awan, Jun Huan, Fengjun Li, Bo Luo
2019 — ed.
2019 IEEE International Conference on Big Data (IEEE BigData), Los Angeles, CA, USA, December 9-12, 2019
IEEE BigData
Chaitanya K. Baru, Jun Huan, Latifur Khan, Xiaohua Hu, Ronay Ak, Yuanyuan Tian, Roger S. Barga, Carlo Zaniolo, Kisung Lee, Yanfang (Fanny) Ye
2019 J jnl
AGAN: Towards Automated Design of Generative Adversarial Networks.
CoRR
Hanchao Wang, Jun Huan
2019 J jnl
An Empirical Study on Regularization of Deep Neural Networks by Local Rademacher Complexity.
CoRR
Yingzhen Yang, Xingjian Li, Jun Huan
2019 J jnl
An efficient algorithm for graph edit distance computation.
Knowl. Based Syst.
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
2019 J jnl
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks.
CoRR
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
2019 J jnl
Deep cycle autoencoder for unsupervised domain adaptation with generative adversarial networks.
IET Comput. Vis.
Qiang Zhou, Wen'an Zhou, Bin Yang, Jun Huan
2019 — conf
Delta: Deep Learning Transfer using Feature Map with Attention for Convolutional Networks.
ICLR (Poster)
Xingjian Li, Haoyi Xiong, Hanchao Wang, Yuxuan Rao, Liping Liu, Jun Huan
2019 J jnl
FSNet: Compression of Deep Convolutional Neural Networks by Filter Summary.
CoRR
Yingzhen Yang, Nebojsa Jojic, Jun Huan
2019 J jnl
Fast Universal Style Transfer for Artistic and Photorealistic Rendering.
CoRR
Jie An, Haoyi Xiong, Jiebo Luo, Jun Huan, Jinwen Ma
2019 A conf
Instance-Based Deep Transfer Learning.
WACV
Tianyang Wang, Jun Huan, Michelle Zhu
2019 J jnl
Measuring Conditional Independence by Independent Residuals for Causal Discovery.
ACM Trans. Intell. Syst. Technol.
Hao Zhang, Shuigeng Zhou, Jihong Guan, Jun Huan
2019 J jnl
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.
CoRR
Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan
2019 J jnl
Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent.
CoRR
Wenqing Hu, Zhanxing Zhu, Haoyi Xiong, Jun Huan
2019 B conf
Rethink Gaussian Denoising Prior for Real-World Image Denoising.
ICTAI
Tianyang Wang, Jun Huan, Bo Li, Kaoning Hu
2019 — conf
SecureGBM: Secure Multi-Party Gradient Boosting.
IEEE BigData
Zhi Feng, Jun Huan, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu
2019 J jnl
SecureGBM: Secure Multi-Party Gradient Boosting.
CoRR
Zhi Feng, Haoyi Xiong, Chuanyuan Song, Sijia Yang, Baoxin Zhao, Licheng Wang, Zeyu Chen, Shengwen Yang, Liping Liu, Jun Huan
2019 — conf
Simple Is Better: A Global Semantic Consistency Based End-to-End Framework for Effective Zero-Shot Learning.
PRICAI (1)
Fan Wu, Shuigeng Zhou, Kang Wang, Yi Xu, Jihong Guan, Jun Huan
2019 A* conf
SpHMC: Spectral Hamiltonian Monte Carlo.
AAAI
Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan
2019 J jnl
StyleNAS: An Empirical Study of Neural Architecture Search to Uncover Surprisingly Fast End-to-End Universal Style Transfer Networks.
CoRR
Jie An, Haoyi Xiong, Jinwen Ma, Jiebo Luo, Jun Huan
2019 J jnl
The Multiplicative Noise in Stochastic Gradient Descent: Data-Dependent Regularization, Continuous and Discrete Approximation.
CoRR
Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Zhanxing Zhu
2019 A* conf
Towards Making Deep Transfer Learning Never Hurt.
ICDM
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
2019 J jnl
Towards Making Deep Transfer Learning Never Hurt.
CoRR
Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan
2019 J jnl
Ultrafast Photorealistic Style Transfer via Neural Architecture Search.
CoRR
Jie An, Haoyi Xiong, Jun Huan, Jiebo Luo
2019 A* conf
Understanding Actors and Evaluating Personae with Gaussian Embeddings.
AAAI
Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li
2018 B conf
Data Dropout: Optimizing Training Data for Convolutional Neural Networks.
ICTAI
Tianyang Wang, Jun Huan, Bo Li
2018 J jnl
Data Dropout: Optimizing Training Data for Convolutional Neural Networks.
CoRR
Tianyang Wang, Jun Huan, Bo Li
2018 — ch.
Frequent Graph Patterns.
Encyclopedia of Database Systems (2nd ed.)
Jun Huan
2018 J jnl
Instance-based Deep Transfer Learning.
CoRR
Tianyang Wang, Jun Huan, Michelle Zhu
2018 A conf
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity.
CIKM
Xiaoli Li, Jun Huan
2017 A* conf
Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics.
KDD
Xiaoli Li, Jun Huan
2017 J jnl
Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data.
J. Cheminformatics
Alexios Koutsoukas, Keith J. Monaghan, Xiaoli Li, Jun Huan
2017 J jnl
Discriminatory Transfer.
CoRR
Chao Lan, Jun Huan
2017 J jnl
Efficient Graph Similarity Search in External Memory.
IEEE Access
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
2017 J jnl
Fast Computation of Graph Edit Distance.
CoRR
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
2017 J jnl
Learning Social Circles in Ego-Networks Based on Multi-View Network Structure.
IEEE Trans. Knowl. Data Eng.
Chao Lan, Yuhao Yang, Xiaoli Li, Bo Luo, Jun Huan
2017 — conf
Lifelong multi-task multi-view learning using latent spaces.
IEEE BigData
Xiaoli Li, Sai Nivedita Chandrasekaran, Jun Huan
2017 A* conf
Sparse Compositional Local Metric Learning.
KDD
Joseph St. Amand, Jun Huan
2016 B conf
A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization.
ICPR
Chao Lan, Xiaoli Li, Yujie Deng, Joseph St. Amand, Jun Huan
2016 B conf
A disagreement-based active matrix completion approach with provable guarantee.
IJCNN
Chao Lan, Yujie Deng, Jun Huan
2016 — conf
A distributed and privatized framework for drug-target interaction prediction.
BIBM
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
2016 B conf
CS2A: A Compressed Suffix Array-Based Method for Short Read Alignment.
DCC
Hongwei Huo, Zhigang Sun, Shuangjiang Li, Jeffrey Scott Vitter, Xinkun Wang, Qiang Yu, Jun Huan
2016 B conf
Co-regularized least square regression for multi-view multi-class classification.
IJCNN
Chao Lan, Yujie Deng, Xiaoli Li, Jun Huan
2016 — conf
Deep-Learning: Investigating feed-forward deep Neural Networks for modeling high throughput chemical bioactivity data.
BIBM
Jun Huan
2016 — conf
Developing Novel Machine Learning Algorithms to Improve Sedentary Assessment for Youth Health Enhancement.
ICHI
Gowtham Kumar Golla, Jordan A. Carlson, Jun Huan, Jacqueline Kerr, Tarrah Mitchell, Kelsey Borner
2016 A conf
Discriminative View Learning for Single View Co-Training.
CIKM
Joseph St. Amand, Jun Huan
2016 — conf
Investigating Multiview and Multitask Learning Frameworks for Predicting Drug-Disease Associations.
BCB
Sai Nivedita Chandrasekaran, Alexios Koutsoukas, Jun Huan
2016 — conf
Learning with Positive and Unknown Features.
BIBM
Chao Lan, Sai Nivedita Chandrasekaran, Jun Huan
2016 J jnl
MSQ-Index: A Succinct Index for Fast Graph Similarity Search.
CoRR
Xiaoyang Chen, Hongwei Huo, Jun Huan, Jeffrey Scott Vitter
2016 Misc conf
Partial Collective Matrix Factorization and its PAC Bound.
ISAIM
Chao Lan, Xiaoli Li, Yujie Deng, Jun Huan
2016 J jnl
RefSelect: a reference sequence selection algorithm for planted (
BMC Bioinform.
Qiang Yu, Hongwei Huo, Ruixing Zhao, Dazheng Feng, Jeffrey Scott Vitter, Jun Huan
2016 J jnl
The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology.
J. Biomed. Semant.
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
2016 J jnl
The development of non-coding RNA ontology.
Int. J. Data Min. Bioinform.
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
2016 A conf
Towards a Theoretical Understanding of Negative Transfer in Collective Matrix Factorization.
UAI
Chao Lan, Jianxin Wang, Jun Huan
2016 — conf
Weighted multiview learning for predicting drug-disease associations.
BIBM
Sai Nivedita Chandrasekaran, Jun Huan
2016 A conf
aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers.
CIKM
Xiaoli Li, Jun Huan
2015 — ed.
2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015
BIBM
Jun Huan, Satoru Miyano, Amarda Shehu, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K. Gombar, Matthieu-P. Schapranow, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian G. Pierce
2015 J jnl
An Efficient Exact Algorithm for the Motif Stem Search Problem over Large Alphabets.
IEEE ACM Trans. Comput. Biol. Bioinform.
Qiang Yu, Hongwei Huo, Jeffrey Scott Vitter, Jun Huan, Yakov Nekrich
2015 A conf
Learning Task Grouping using Supervised Task Space Partitioning in Lifelong Multitask Learning.
CIKM
Meenakshi Mishra, Jun Huan
2015 A* conf
Reducing the Unlabeled Sample Complexity of Semi-Supervised Multi-View Learning.
KDD
Chao Lan, Jun Huan
2015 — conf
Reference sequence selection for motif searches.
BIBM
Qiang Yu, Hongwei Huo, Ruixing Zhao, Dazheng Feng, Jeffrey Scott Vitter, Jun Huan
2014 — ed.
2014 IEEE International Conference on Big Data (IEEE BigData 2014), Washington, DC, USA, October 27-30, 2014
IEEE BigData
Jimmy Lin, Jian Pei, Xiaohua Hu, Wo Chang, Raghunath Nambiar, Charu C. Aggarwal, Nick Cercone, Vasant G. Honavar, Jun Huan, Bamshad Mobasher, Saumyadipta Pyne
2014 — conf
An efficient motif finding algorithm for large DNA data sets.
BIBM
Qiang Yu, Hongwei Huo, Xiaoyang Chen, Haitao Guo, Jeffrey Scott Vitter, Jun Huan
2014 A conf
Automatic Social Circle Detection Using Multi-View Clustering.
CIKM
Yuhao Yang, Chao Lan, Xiaoli Li, Bo Luo, Jun Huan
2014 J jnl
Structured Sparse Boosting for Graph Classification.
ACM Trans. Knowl. Discov. Data
Hongliang Fei, Jun Huan
2013 J jnl
A Family of Joint Sparse PCA Algorithms for Anomaly Localization in Network Data Streams.
IEEE Trans. Knowl. Data Eng.
Ruoyi Jiang, Hongliang Fei, Jun Huan
2013 — conf
A new on-line chemical biology data visualization system.
BIBM
Peng Hao, Jintao Zhang, Jun Huan
2013 J jnl
Computational prediction of toxicity.
Int. J. Data Min. Bioinform.
Meenakshi Mishra, Hongliang Fei, Jun Huan
2013 — conf
KUChemBio: A repository of computational chemical biology data sets.
IEEE BigData
Aaron Smalter Hall, Jun Huan
2013 A* conf
Multitask Learning with Feature Selection for Groups of Related Tasks.
ICDM
Meenakshi Mishra, Jun Huan
2013 — conf
Semantics-driven frequent data pattern mining on electronic health records for effective adverse drug event monitoring.
BIBM
Jingshan Huang, Jun Huan, Alexander Tropsha, Jiangbo Dang, He Zhang, Min Xiong
2013 — conf
StemFinder: An efficient algorithm for searching motif stems over large alphabets.
BIBM
Qiang Yu, Hongwei Huo, Jeffrey Scott Vitter, Jun Huan, Yakov Nekrich
2013 J jnl
Structured feature selection and task relationship inference for multi-task learning.
Knowl. Inf. Syst.
Hongliang Fei, Jun Huan
2013 J jnl
Text Categorization of Biomedical Data Sets Using Graph Kernels and a Controlled Vocabulary.
IEEE ACM Trans. Comput. Biol. Bioinform.
Said Bleik, Meenakshi Mishra, Jun Huan, Min Song
2012 J jnl
Biological knowledge discovery and data mining.
Sci. Program.
Mohammad Al Hasan, Jun Huan, Jake Yue Chen, Mohammed J. Zaki
2012 — conf
Biomedical text categorization with concept graph representations using a controlled vocabulary.
BIOKDD
Meenakshi Mishra, Jun Huan, Said Bleik, Min Song
2012 A conf
CoNet: feature generation for multi-view semi-supervised learning with partially observed views.
CIKM
Brian Quanz, Jun Huan
2012 — conf
Drug-induced QT prolongation prediction using co-regularized multi-view learning.
BIBM
Jintao Zhang, Jun Huan
2012 — conf
Identification of transposable elements of the giant panda (Ailuropoda melanoleuca) genome.
BIBM Workshops
Avindra Fernando, Jun Huan, Justin P. Blumenstiel, Jin Lin, Xue-wen Chen, Bo Luo
2012 A* conf
Inductive multi-task learning with multiple view data.
KDD
Jintao Zhang, Jun Huan
2012 J jnl
Knowledge Transfer with Low-Quality Data: A Feature Extraction Issue.
IEEE Trans. Knowl. Data Eng.
Brian Quanz, Jun Huan, Meenakshi Mishra
2012 — conf
Multi-target protein-chemical interaction prediction using task-regularized and boosted multi-task learning.
BCB
Jintao Zhang, Gerald H. Lushington, Jun Huan
2012 A conf
Non-stationary bayesian networks based on perfect simulation.
CIKM
Yi Jia, Wenrong Zeng, Jun Huan
2012 — conf
Semi-supervised Clustering of Graph Objects: A Subgraph Mining Approach.
DASFAA (1)
Xin Huang, Hong Cheng, Jiong Yang, Jeffrey Xu Yu, Hongliang Fei, Jun Huan
2012 — conf
When Additional Views are Not Free: Active View Completion for Multi-view Semi-Supervised Learning.
ICDM Workshops
Brian Quanz, Jun Huan
2011 J jnl
An efficient graph-mining method for complicated and noisy data with real-world applications.
Knowl. Inf. Syst.
Yi Jia, Jintao Zhang, Jun Huan
2011 A* conf
Anomaly localization for network data streams with graph joint sparse PCA.
KDD
Ruoyi Jiang, Hongliang Fei, Jun Huan
2011 — conf
Bayesian Classifiers for Chemical Toxicity Prediction.
BIBM
Meenakshi Mishra, Brian Potetz, Jun Huan
2011 J jnl
Characterizing the Diversity and Biological Relevance of the MLPCN Assay Manifold and Screening Set.
J. Chem. Inf. Model.
Jintao Zhang, Gerald H. Lushington, Jun Huan
2011 A conf
Content based social behavior prediction: a multi-task learning approach.
CIKM
Hongliang Fei, Ruoyi Jiang, Yuhao Yang, Bo Luo, Jun Huan
2011 — ch.
G-Hash: Towards Fast Kernel-Based Similarity Search in Large Graph Databases.
Graph Data Management
Xiaohong Wang, Jun Huan
2011 J jnl
Guest Editorial: Special Focus on Bioinformatics and Systems Biology.
IEEE ACM Trans. Comput. Biol. Bioinform.
Fang-Xiang Wu, Jun Huan
2011 A* conf
Knowledge transfer with low-quality data: A feature extraction issue.
ICDE
Brian Quanz, Jun Huan, Meenakshi Mishra
2011 — ed.
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, BIOKDD '11, San Diego, California, USA, August 21, 2011
BIOKDD
Mohammed J. Zaki, Jake Yue Chen, Mohammad Al Hasan, Jun Huan
2011 — conf
Similarity boosting for label noise tolerance in protein-chemical interaction prediction.
BCB
Aaron Smalter Hall, Jun Huan, Gerald H. Lushington
2011 A* conf
Structured Feature Selection and Task Relationship Inference for Multi-task Learning.
ICDM
Hongliang Fei, Jun Huan
2011 J jnl
The BioAssay network and its implications to future therapeutic discovery.
BMC Bioinform.
Jintao Zhang, Gerald H. Lushington, Jun Huan
2010 J jnl
Application of kernel functions for accurate similarity search in large chemical databases.
BMC Bioinform.
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald H. Lushington
2010 A* conf
Boosting with structure information in the functional space: an application to graph classification.
KDD
Hongliang Fei, Jun Huan
2010 — conf
Computational prediction of toxicity.
BIBM
Meenakshi Mishra, Hongliang Fei, Jun Huan
2010 J jnl
Constructing non-stationary Dynamic Bayesian Networks with a flexible lag choosing mechanism.
BMC Bioinform.
Yi Jia, Jun Huan
2010 — conf
Exploratory analysis of the BioAssay Network with implications to therapeutic discovery.
BIBM
Jintao Zhang, Gerald H. Lushington, Jun Huan
2010 J jnl
Functional neighbors: inferring relationships between nonhomologous protein families using family-specific packing motifs.
IEEE Trans. Inf. Technol. Biomed.
Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2010 J jnl
GPD: A Graph Pattern Diffusion Kernel for Accurate Graph Classification with Applications in Cheminformatics.
IEEE ACM Trans. Comput. Biol. Bioinform.
Aaron M. Smalter, Jun Huan, Yi Jia, Gerald H. Lushington
2010 A* conf
Knowledge Discovery in Academic Drug Discovery Programs: Opportunities and Challenges.
ICDM
Jun Huan
2010 — conf
Novel biological network features discovery for in silico identification of drug targets.
IHI
Jintao Zhang, Jun Huan
2010 A conf
Regularization and feature selection for networked features.
CIKM
Hongliang Fei, Brian Quanz, Jun Huan
2010 J jnl
Towards site-based protein functional annotations.
Int. J. Data Min. Bioinform.
Seak Fei Lei, Jun Huan
2009 A conf
Aligned Graph Classification with Regularized Logistic Regression.
SDM
Brian Quanz, Jun Huan
2009 B conf
Anomaly Detection with Sensor Data for Distributed Security.
ICCCN
Brian Quanz, Hongliang Fei, Jun Huan, Joseph B. Evans, Victor Frost, Gary J. Minden, Daniel D. Deavours, Leon S. Searl, Daniel DePardo, Martin Kuehnhausen, Daniel Fokum, Matt Zeets, Angela Oguna
2009 — conf
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases.
BIBM
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald H. Lushington
2009 A* conf
Feature Selection in the Tensor Product Feature Space.
ICDM
Aaron M. Smalter, Jun Huan, Gerald H. Lushington
2009 — ch.
Frequent Graph Patterns.
Encyclopedia of Database Systems
Jun Huan
2009 B conf
G-hash: towards fast kernel-based similarity search in large graph databases.
EDBT
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald H. Lushington
2009 — conf
GLSVM: Integrating Structured Feature Selection and Large Margin Classification.
ICDM Workshops
Hongliang Fei, Brian Quanz, Jun Huan
2009 J jnl
Graph Wavelet Alignment Kernels for Drug Virtual Screening.
J. Bioinform. Comput. Biol.
Aaron M. Smalter, Jun Huan, Gerald H. Lushington
2009 J jnl
Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: I. Method development.
J. Comput. Aided Mol. Des.
Deepak Bandyopadhyay, Jun Huan, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2009 J jnl
Identification of family-specific residue packing motifs and their use for structure-based protein function prediction: II. Case studies and applications.
J. Comput. Aided Mol. Des.
Deepak Bandyopadhyay, Jun Huan, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2009 A conf
L2 norm regularized feature kernel regression for graph data.
CIKM
Hongliang Fei, Jun Huan
2009 A conf
Large margin transductive transfer learning.
CIKM
Brian Quanz, Jun Huan
2009 — ed.
Proceeding of the 3rd International Workshop on Data and Text Mining in Bioinformatics, DTMBIO 2009, Hong Kong, China, November 6, 2009
DTMBIO
Doheon Lee, Russ B. Altman, Min Song, Jun Huan
2009 — conf
The Analysis of Arabidopsis thaliana Circadian Network Based on Non-stationary DBNs Approach with Flexible Time Lag Choosing Mechanism.
BIBM
Yi Jia, Jun Huan
2009 J jnl
Towards comprehensive structural motif mining for better fold annotation in the "twilight zone" of sequence dissimilarity.
BMC Bioinform.
Yi Jia, Jun Huan, Vincent Buhr, Jintao Zhang, Leonidas N. Carayannopoulos
2008 — conf
Biological pathways as features for microarray data classification.
DTMBIO
Brian Quanz, Meeyoung Park, Jun Huan
2008 B conf
Chemical Compound Classification with Automatically Mined Structure Patterns.
APBC
Aaron M. Smalter, Jun Huan, Gerald H. Lushington
2008 — conf
Functional Neighbors: Inferring Relationships between Non-Homologous Protein Families Using Family-Specific Packing Motifs.
BIBM
Deepak Bandyopadhyay, Jun Huan, Jinze Liu, Jan F. Prins, Jack Snoeyink, Wei Wang, Alexander Tropsha
2008 C conf
GPM: A graph pattern matching kernel with diffusion for chemical compound classification.
BIBE
Aaron M. Smalter, Jun Huan, Gerald H. Lushington
2008 C conf
Structure feature selection for chemical compound classification.
BIBE
Hongliang Fei, Jun Huan
2008 A conf
Structure feature selection for graph classification.
CIKM
Hongliang Fei, Jun Huan
2008 — conf
Towards Site-Based Protein Functional Annotations.
BIBM
Seak Fei Lei, Jun Huan
2007 A* conf
Graph Database Indexing Using Structured Graph Decomposition.
ICDE
David W. Williams, Jun Huan, Wei Wang
2007 B conf
Mining RNA Tertiary Motifs with Structure Graphs.
SSDBM
Xueyi Wang, Jun Huan, Jack Snoeyink, Wei Wang
2007 A conf
On Demand Phenotype Ranking through Subspace Clustering.
SDM
Xiang Zhang, Wei Wang, Jun Huan
2006 J jnl
Local Structure Comparison of Proteins.
Adv. Comput.
Jun Huan, Jan F. Prins, Wei Wang
2006 — conf
UTS: An Unbalanced Tree Search Benchmark.
LCPC
Stephen Olivier, Jun Huan, Jinze Liu, Jan F. Prins, James Dinan, P. Sadayappan, Chau-Wen Tseng
2005 J jnl
Comparing Graph Representations of Protein Structure for Mining Family-Specific Residue-Based Packing Motifs.
J. Comput. Biol.
Jun Huan, Deepak Bandyopadhyay, Wei Wang, Jack Snoeyink, Jan F. Prins, Alexander Tropsha
2004 Misc conf
Accurate Classification of Protein Structural Families Using Coherent Subgraph Analysis.
Pacific Symposium on Biocomputing
Jun Huan, Wei Wang, Anglina Washington, Jan F. Prins, Ruchir Shah, Alexander Tropsha
2004 B conf
Mining protein family specific residue packing patterns from protein structure graphs.
RECOMB
Jun Huan, Wei Wang, Deepak Bandyopadhyay, Jack Snoeyink, Jan F. Prins, Alexander Tropsha
2004 A* conf
SPIN: mining maximal frequent subgraphs from graph databases.
KDD
Jun Huan, Wei Wang, Jan F. Prins, Jiong Yang
2003 A* conf
Efficient Mining of Frequent Subgraphs in the Presence of Isomorphism.
ICDM
Jun Huan, Wei Wang, Jan F. Prins
2003 — conf
Evaluating the Impact of Programming Language Features on the Performance of Parallel Applications on Cluster Architectures.
LCPC
Konstantin Berlin, Jun Huan, Mary Jacob, Garima Kochhar, Jan F. Prins, William W. Pugh, P. Sadayappan, Jaime Spacco, Chau-Wen Tseng
2003 — conf
Reconstruction of Ancestral Gene Order after Segmental Duplication and Gene Loss.
CSB
Jun Huan, Jan F. Prins, Wei Wang, Todd J. Vision