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On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search

Dec 02, 2020
Adam Hare, Yu Chen, Yinan Liu, Zhenming Liu, Christopher G. Brinton

* 13 pages, 6 figures 

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Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters

Nov 10, 2020
Qiong Wu, Zhenming Liu

* 12 pages 

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On Efficient Constructions of Checkpoints

Sep 28, 2020
Yu Chen, Zhenming Liu, Bin Ren, Xin Jin

* International Conference on Machine Learning, 2020 

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BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation

Aug 05, 2020
Sirui Wang, Yuwei Tu, Qiong Wu, Adam Hare, Zhenming Liu, Christopher G. Brinton, Yanhua Li

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TF3P: Three-dimensional Force Fields Fingerprint Learned by Deep Capsular Network

Dec 25, 2019
Yanxing Wang, Jianxing Hu, Junyong Lai, Yibo Li, Hongwei Jin, Lihe Zhang, Liangren Zhang, Zhenming Liu

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A Deep Learning Framework for Pricing Financial Instruments

Sep 07, 2019
Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Mihai Cucuringu, Zhenming Liu

* 10 pages 

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DeepScaffold: a comprehensive tool for scaffold-based de novo drug discovery using deep learning

Sep 05, 2019
Yibo Li, Jianxing Hu, Yanxing Wang, Jielong Zhou, Liangren Zhang, Zhenming Liu

* Updates to this version 1. Add supporting information (aux.pdf) 2. Improvements to Section 2.2 3. Resolve grammar issues 

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Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle

Jul 11, 2019
Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo

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Adaptive Reduced Rank Regression

May 28, 2019
Qiong Wu, Felix Ming Fai Wong, Zhenming Liu, Yanhua Li, Varun Kanade

* 27 pages 

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Towards Non-Parametric Learning to Rank

Jul 09, 2018
Ao Liu, Qiong Wu, Zhenming Liu, Lirong Xia

* 10 pages' main document and 10 pages' supplementary documents 

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Multi-Objective De Novo Drug Design with Conditional Graph Generative Model

Apr 21, 2018
Yibo Li, Liangren Zhang, Zhenming Liu

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From which world is your graph?

Nov 03, 2017
Cheng Li, Felix Wong, Zhenming Liu, Varun Kanade

* To appear in NIPS 2017 

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Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization

Jun 27, 2014
Felix Ming Fai Wong, Zhenming Liu, Mung Chiang

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From Black-Scholes to Online Learning: Dynamic Hedging under Adversarial Environments

Jun 23, 2014
Henry Lam, Zhenming Liu

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Distributed Non-Stochastic Experts

Nov 14, 2012
Varun Kanade, Zhenming Liu, Bozidar Radunovic

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