Zhenming Liu | DeepAI

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Featured Co-authors

Zheng Zhang
175 publications
Yu Chen
141 publications
Jian Li
137 publications
Cheng Li
112 publications
Dong Li
108 publications
Jieping Ye
88 publications
Xin Jin
88 publications
Ion Stoica
73 publications
Yu Zheng
66 publications
Zhi Liu
64 publications
Xu Liu
60 publications

∙ 03/13/2023

Uni-RXN: A Unified Framework Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation

Chemical reactions are the fundamental building blocks of drug design an...

0 Bo Qiang, et al. ∙

∙ 12/01/2022

Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models

This paper revisits building machine learning algorithms that involve in...

0 Qiong Wu, et al. ∙

∙ 11/28/2022

Towards Reliable Item Sampling for Recommendation Evaluation

Since Rendle and Krichene argued that commonly used sampling-based evalu...

0 Dong Li, et al. ∙

∙ 06/11/2021

Toward Efficient Interactions between Python and Native Libraries

Python has become a popular programming language because of its excellen...

0 Jialiang Tan, et al. ∙

∙ 12/02/2020

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

Despite the recent successes of deep learning in natural language proces...

0 Adam Hare, et al. ∙

∙ 10/28/2020

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters

Large-scale interactive web services and advanced AI applications make s...

0 Qiong Wu, et al. ∙

∙ 10/12/2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report)

Low-latency online services have strict Service Level Objectives (SLOs) ...

0 Hang Zhu, et al. ∙

∙ 09/28/2020

On Efficient Constructions of Checkpoints

Efficient construction of checkpoints/snapshots is a critical tool for t...

5 Yu Chen, et al. ∙

∙ 08/05/2020

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

Existing topic modeling and text segmentation methodologies generally re...

0 Sirui Wang, et al. ∙

∙ 12/24/2019

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

Molecular fingerprints are the workhorse in ligand-based drug discovery....

0 Yanxing Wang, et al. ∙

∙ 09/07/2019

A Deep Learning Framework for Pricing Financial Instruments

We propose an integrated deep learning architecture for the stock moveme...

0 Qiong Wu, et al. ∙

∙ 08/20/2019

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

The ultimate goal of drug design is to find novel compounds with desirab...

0 Yibo Li, et al. ∙

∙ 07/11/2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle

Many real-world human behaviors can be characterized as a sequential dec...

0 Guojun Wu, et al. ∙

∙ 05/28/2019

Adaptive Reduced Rank Regression

Low rank regression has proven to be useful in a wide range of forecasti...

0 Qiong Wu, et al. ∙

∙ 01/24/2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching

Load balancing is critical for distributed storage to meet strict servic...

0 Zaoxing Liu, et al. ∙

∙ 07/09/2018

Towards Non-Parametric Learning to Rank

This paper studies a stylized, yet natural, learning-to-rank problem and...

0 Ao Liu, et al. ∙

∙ 01/18/2018

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

Recently, deep generative models have revealed itself as a promising way...

0 Yibo Li, et al. ∙

∙ 11/03/2017

From which world is your graph?

Discovering statistical structure from links is a fundamental problem in...

0 Cheng Li, et al. ∙

∙ 11/14/2012

Distributed Non-Stochastic Experts

We consider the online distributed non-stochastic experts problem, where...

0 Varun Kanade, et al. ∙