Renyu Zhang

Orcid: 0000-0003-0284-164X

According to our database1, Renyu Zhang authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Content Promotion for Online Content Platforms with the Diffusion Effect.
Manuf. Serv. Oper. Manag., 2024

Efficient and generalizable prediction of molecular alterations in multiple cancer cohorts using H&E whole slide images.
CoRR, 2024

Enhancing Instance-Level Image Classification with Set-Level Labels.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Traffic Allocation Optimization on Video Sharing Platforms: Balancing Viewer Engagement and Small Creator Development.
Proceedings of the 45th International Conference on Information Systems, 2024

2023
The Impact of Social Nudges on User-Generated Content for Social Network Platforms.
Manag. Sci., September, 2023

Cold Start to Improve Market Thickness on Online Advertising Platforms: Data-Driven Algorithms and Field Experiments.
Manag. Sci., July, 2023

An Adam-enhanced Particle Swarm Optimizer for Latent Factor Analysis.
CoRR, 2023

A Dynamic-Neighbor Particle Swarm Optimizer for Accurate Latent Factor Analysis.
CoRR, 2023

Deep Learning Based Causal Inference for Large-Scale Combinatorial Experiments: Theory and Empirical Evidence.
Proceedings of the 24th ACM Conference on Economics and Computation, 2023

Is Averaging Always the Best? Improving Aggregation Method for Federated Knowledge Graph Embedding.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

A Non-Isomorphic-Discriminated Inductive Graph-based Matrix Completion Model for High-Dimensional and Incomplete Data.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2023

Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Data Aggregation and Demand Prediction.
Oper. Res., 2022

Accurate Latent Factor Analysis via Dynamic-Neighbor-cooperated Hierarchical Particle Swarm Optimizers.
Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021
BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing.
CoRR, 2021

2020
Evaluating and interpreting caption prediction for histopathology images.
Proceedings of the Machine Learning for Healthcare Conference, 2020

A Fuzzy Fan Speed Controller for Smart Data Processing Device.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Evaluation of Hyperbolic Attention in Histopathology Images.
Proceedings of the 20th IEEE International Conference on Bioinformatics and Bioengineering, 2020

2019
Tracking and proximity detection for robotic operations by multiple depth cameras.
Inf. Sci., 2019

2018
Exploration in Mapping Kernel-Based Home Range Models from Remote Sensing Imagery with Conditional Adversarial Networks.
Remote. Sens., 2018

Trade-in Remanufacturing, Customer Purchasing Behavior, and Government Policy.
Manuf. Serv. Oper. Manag., 2018

2017
Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
PLoS Comput. Biol., 2017

2016
CoinFold: a web server for protein contact prediction and contact-assisted protein folding.
Nucleic Acids Res., 2016

Adapt to Changes or Not? The Mediating Effect of Individual Adaptability between Social Media and Task Performance.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

2015
Dynamic Pricing and Inventory Management Under Fluctuating Procurement Costs.
Manuf. Serv. Oper. Manag., 2015

2014
Dynamic Pricing and Inventory Management Under Inventory-Dependent Demand.
Oper. Res., 2014


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