Zhenming Liu

Orcid: 0000-0001-9494-8748

Affiliations:
  • College of William & Mary, VA, USA


According to our database1, Zhenming Liu authored at least 81 papers between 2005 and 2024.

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Bibliography

2024
On Item-Sampling Evaluation for Recommender System.
Trans. Recomm. Syst., March, 2024

Exploring Chemical Reaction Space with Machine Learning Models: Representation and Feature Perspective.
J. Chem. Inf. Model., 2024

2023
Bridging the gap between chemical reaction pretraining and conditional molecule generation with a unified model.
Nat. Mac. Intell., December, 2023

Order based algorithms for the core maintenance problem on edge-weighted graphs.
Theor. Comput. Sci., 2023

Uni-RXN: A Unified Framework Bridging the Gap between Chemical Reaction Pretraining and Conditional Molecule Generation.
CoRR, 2023

Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Fully Integrated High-Frequency MEMS and CMOS Inertial Measurement Systems: Taking a Journey from Silicon to Silicon Carbide.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

Parallel Software for Million-scale Exact Kernel Regression.
Proceedings of the 37th International Conference on Supercomputing, 2023

Distributional Cloning for Stabilized Imitation Learning via ADMM.
Proceedings of the IEEE International Conference on Data Mining, 2023

Towards Reliable Item Sampling for Recommendation Evaluation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Towards Socially Acceptable Food Type Recognition.
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

2021
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation.
ACM Trans. Intell. Syst. Technol., 2021

CMNPD: a comprehensive marine natural products database towards facilitating drug discovery from the ocean.
Nucleic Acids Res., 2021

Chemical Space, Scaffolds, and Halogenated Compounds of CMNPD: A Comprehensive Chemoinformatic Analysis.
J. Chem. Inf. Model., 2021

AIScaffold: A Web-Based Tool for Scaffold Diversification Using Deep Learning.
J. Chem. Inf. Model., 2021

LAX-Score: Quantifying Team Performance in Lacrosse and Exploring IMU Features towards Performance Enhancement.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021

Residual Current Detection Method Based on Variational Modal Decomposition and Dynamic Fuzzy Neural Network.
IEEE Access, 2021

Toward efficient interactions between Python and native libraries.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

C<sup>3</sup>-GAN: Complex-Condition-Controlled Urban Traffic Estimation through Generative Adversarial Networks.
Proceedings of the IEEE International Conference on Data Mining, 2021

Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing.
Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

An Order Approach for the Core Maintenance Problem on Edge-Weighted Graphs.
Proceedings of the Algorithmic Aspects in Information and Management, 2021

2020
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis.
ACM Trans. Intell. Syst. Technol., 2020

Pose Filter-Based Ensemble Learning Enables Discovery of Orally Active, Nonsteroidal Farnesoid X Receptor Agonists.
J. Chem. Inf. Model., 2020

TF3P: Three-Dimensional Force Fields Fingerprint Learned by Deep Capsular Network.
J. Chem. Inf. Model., 2020

DeepScaffold: A Comprehensive Tool for Scaffold-Based De Novo Drug Discovery Using Deep Learning.
J. Chem. Inf. Model., 2020

On Extending NLP Techniques from the Categorical to the Latent Space: KL Divergence, Zipf's Law, and Similarity Search.
CoRR, 2020

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters.
CoRR, 2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers (Technical Report).
CoRR, 2020

RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers.
Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

Adaptive Reduced Rank Regression.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Efficient Constructions of Checkpoints.
Proceedings of the 37th International Conference on Machine Learning, 2020

Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

An Enhanced LRMC Method for Drug Repositioning via GCN-based HIN Embedding.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
A Deep Learning Framework for Pricing Financial Instruments.
CoRR, 2019

Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle.
CoRR, 2019

Speaking with Actions - Learning Customer Journey Behavior.
Proceedings of the 13th IEEE International Conference on Semantic Computing, 2019

Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching.
Proceedings of the 17th USENIX Conference on File and Storage Technologies, 2019

Molecular Graph Generation with Deep Reinforced Multitask Network and Adversarial Imitation Learning.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Near-Neighbor Methods in Random Preference Completion.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Multi-objective de novo drug design with conditional graph generative model.
J. Cheminformatics, 2018

Towards Non-Parametric Learning to Rank.
CoRR, 2018

DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

A Social Network Model Based on the Community Evolutions.
Proceedings of the 15th IEEE International Conference on e-Business Engineering, 2018

2017
Delivering Deep Learning to Mobile Devices via Offloading.
Proceedings of the Workshop on Virtual Reality and Augmented Reality Network, 2017

From which world is your graph.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
On the Efficiency of Social Recommender Networks.
IEEE/ACM Trans. Netw., 2016

2015
Improving user QoE for residential broadband: Adaptive traffic management at the network edge.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

2014
Learning about Social Learning in MOOCs: From Statistical Analysis to Generative Model.
IEEE Trans. Learn. Technol., 2014

An Unbiased Method To Build Benchmarking Sets for Ligand-Based Virtual Screening and its Application To GPCRs.
J. Chem. Inf. Model., 2014

From Black-Scholes to Online Learning: Dynamic Hedging under Adversarial Environments.
CoRR, 2014

Stock Market Prediction from WSJ: Text Mining via Sparse Matrix Factorization.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Statistically-secure ORAM with Õ(log<sup>2</sup> n) Overhead.
Proceedings of the Advances in Cryptology - ASIACRYPT 2014, 2014

2013
Mind Your Own Bandwidth: An Edge Solution to Peak-hour Broadband Congestion.
CoRR, 2013

Statistically-secure ORAM with $\tilde{O}(\log^2 n)$ Overhead.
CoRR, 2013

The Diffusion of Networking Technologies.
Proceedings of the Twenty-Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, 2013

Optimizing the "one big switch" abstraction in software-defined networks.
Proceedings of the Conference on emerging Networking Experiments and Technologies, 2013

Why Steiner-tree type algorithms work for community detection.
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012
Technology Diffusion in Communication Networks
CoRR, 2012

Chernoff-Hoeffding Bounds for Markov Chains: Generalized and Simplified.
Proceedings of the 29th International Symposium on Theoretical Aspects of Computer Science, 2012

Information dissemination via random walks in <i>d</i>-dimensional space.
Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms, 2012

Continuous distributed counting for non-monotonic streams.
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2012

Distributed Non-Stochastic Experts.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Correction to Identification of Small-Molecule Inhibitors against Human Leukocyte Antigen-Death Receptor 4 (HLA-DR4) Through a Comprehensive Strategy.
J. Chem. Inf. Model., 2011

Identification of Small-Molecule Inhibitors against Human Leukocyte Antigen-Death Receptor 4 (HLA-DR4) Through a Comprehensive Strategy.
J. Chem. Inf. Model., 2011

Information Dissemination via Random Walks in d-Dimensional Space
CoRR, 2011

Influence Maximization in Social Networks When Negative Opinions May Emerge and Propagate.
Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Community Detection in Social Networks through Community Formation Games.
Proceedings of the IJCAI 2011, 2011

Participation Maximization Based on Social Influence in Online Discussion Forums.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

2010
Codes for deletion and insertion channels with segmented errors.
IEEE Trans. Inf. Theory, 2010

Designing floating codes for expected performance.
IEEE Trans. Inf. Theory, 2010

A game-theoretic framework to identify overlapping communities in social networks.
Data Min. Knowl. Discov., 2010

AMS Without 4-Wise Independence on Product Domains.
Proceedings of the 27th International Symposium on Theoretical Aspects of Computer Science, 2010

Intention-Disguised Algorithmic Trading.
Proceedings of the Financial Cryptography and Data Security, 14th International Conference, 2010

2009
Multiple-Docking and Affinity Fingerprint Methods for Protein Classification and Inhibitors Selection.
J. Chem. Inf. Model., 2009

2008
Designing floating codes for expected performance.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2005
Improving the Quality of 3D-QSAR by Using Flexible-Ligand Receptor Models.
J. Chem. Inf. Model., 2005

Virtual Screening of Novel Noncovalent Inhibitors for SARS-CoV 3C-like Proteinase.
J. Chem. Inf. Model., 2005

The Structure of Optimal Prefix-Free Codes in Restricted Languages: The Uniform Probability Case.
Proceedings of the Algorithms and Data Structures, 9th International Workshop, 2005


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