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Morphology Matters: A Multilingual Language Modeling Analysis

Dec 11, 2020
Hyunji Hayley Park, Katherine J. Zhang, Coleman Haley, Kenneth Steimel, Han Liu, Lane Schwartz

* To appear in TACL, a pre-MIT Press publication version; 15 pages, 3 figures; for the datasets, see https://github.com/hayleypark/MorphologyMatters 

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Uncertainty Estimation in Medical Image Localization: Towards Robust Anterior Thalamus Targeting for Deep Brain Stimulation

Nov 03, 2020
Han Liu, Can Cui, Dario J. Englot, Benoit M. Dawant

* 8 pages, 3 figures 

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Label-Wise Document Pre-Training for Multi-Label Text Classification

Aug 15, 2020
Han Liu, Caixia Yuan, Xiaojie Wang

* Accepted to NLPCC 2020 

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The flare Package for High Dimensional Linear Regression and Precision Matrix Estimation in R

Jun 27, 2020
Xingguo Li, Tuo Zhao, Xiaoming Yuan, Han Liu

* Journal of Machine Learning Research 16 (2015) 553-557 

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Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python

Jun 27, 2020
Jason Ge, Xingguo Li, Haoming Jiang, Han Liu, Tong Zhang, Mengdi Wang, Tuo Zhao

* Journal of Machine Learning Research 20 (2019): 44-1 

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The huge Package for High-dimensional Undirected Graph Estimation in R

Jun 26, 2020
Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman

* Published on JMLR in 2012 

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Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network

Jun 10, 2020
Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, Ting Liu

* Accepted by ACL2020 

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A Deep Learning based Wearable Healthcare IoT Device for AI-enabled Hearing Assistance Automation

May 16, 2020
Fraser Young, L Zhang, Richard Jiang, Han Liu, Conor Wall

* The 2020 International Conference on Machine Learning and Cybernetics 

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Neural Polysynthetic Language Modelling

May 13, 2020
Lane Schwartz, Francis Tyers, Lori Levin, Christo Kirov, Patrick Littell, Chi-kiu Lo, Emily Prud'hommeaux, Hyunji Hayley Park, Kenneth Steimel, Rebecca Knowles, Jeffrey Micher, Lonny Strunk, Han Liu, Coleman Haley, Katherine J. Zhang, Robbie Jimmerson, Vasilisa Andriyanets, Aldrian Obaja Muis, Naoki Otani, Jong Hyuk Park, Zhisong Zhang


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EQL -- an extremely easy to learn knowledge graph query language, achieving highspeed and precise search

Mar 19, 2020
Han Liu, Shantao Liu


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"Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans

Jan 14, 2020
Vivian Lai, Han Liu, Chenhao Tan

* 26 pages, 48 figures, CHI 2020 

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AdvCodec: Towards A Unified Framework for Adversarial Text Generation

Dec 22, 2019
Boxin Wang, Hengzhi Pei, Han Liu, Bo Li


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Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning

Dec 11, 2019
Hong Luo, Han Liu, Kejun Li, Bo Zhang

* 14 pages, 10 figures, this paper is submitted to "Medical Image Analysis" 

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Attributed Graph Learning with 2-D Graph Convolution

Sep 27, 2019
Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu


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Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning

Sep 27, 2019
Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu

* Accepted by IJCAI 2019 Workshops (AI for Internet of Things) 

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Fast Low-rank Metric Learning for Large-scale and High-dimensional Data

Sep 13, 2019
Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu

* 33rd Conference on Neural Information Processing Systems (NeurIPS 2019) 

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More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning

Jul 14, 2019
Xinyang Yi, Zhaoran Wang, Zhuoran Yang, Constantine Caramanis, Han Liu

* Advances in Neural Information Processing Systems (2016): 4482-4490 
* This work has been published in NeurIPS 2016. The first three authors contribute equally 

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Few-Shot Sequence Labeling with Label Dependency Transfer

Jun 20, 2019
Yutai Hou, Zhihan Zhou, Yijia Liu, Ning Wang, Wanxiang Che, Han Liu, Ting Liu


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Attributed Graph Clustering via Adaptive Graph Convolution

Jun 04, 2019
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu

* IJCAI 2019 

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Estimating and Inferring the Maximum Degree of Stimulus-Locked Time-Varying Brain Connectivity Networks

May 28, 2019
Kean Ming Tan, Junwei Lu, Tong Zhang, Han Liu

* 19 pages of main text 

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Finite-Sample Analyses for Fully Decentralized Multi-Agent Reinforcement Learning

Jan 05, 2019
Kaiqing Zhang, Zhuoran Yang, Han Liu, Tong Zhang, Tamer Başar


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TStarBots: Defeating the Cheating Level Builtin AI in StarCraft II in the Full Game

Nov 02, 2018
Peng Sun, Xinghai Sun, Lei Han, Jiechao Xiong, Qing Wang, Bo Li, Yang Zheng, Ji Liu, Yongsheng Liu, Han Liu, Tong Zhang


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Performance assessment of the deep learning technologies in grading glaucoma severity

Oct 31, 2018
Yi Zhen, Lei Wang, Han Liu, Jian Zhang, Jiantao Pu


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SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images

Oct 30, 2018
Han Liu, Lei Wang, Yandong Nan, Faguang Jin, Jiantao Pu


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Efficient, Certifiably Optimal Clustering with Applications to Latent Variable Graphical Models

Oct 20, 2018
Carson Eisenach, Han Liu


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Super-pixel cloud detection using Hierarchical Fusion CNN

Oct 19, 2018
Han Liu, Dan Zeng, Qi Tian


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Fully Implicit Online Learning

Oct 14, 2018
Chaobing Song, Ji Liu, Han Liu, Yong Jiang, Tong Zhang

* 17 pages 

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Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Oct 10, 2018
Jiechao Xiong, Qing Wang, Zhuoran Yang, Peng Sun, Lei Han, Yang Zheng, Haobo Fu, Tong Zhang, Ji Liu, Han Liu


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