Weizhe Chen
Computer Science · Indiana University
Publications
87
Citations
1,489
Est. group size
—
Recurring co-author estimate
Active years
33
Publishing since 1994
This researcher works in computer science with a focus on planning and coordination for multiple autonomous agents, reinforcement learning (where systems learn by trial and error), and machine learning methods such as neural network design and federated learning (training models across distributed data). Recent work includes multi-agent path finding, using large language models for planning, and efficient neural network architecture search. The publication record also spans several distinct areas including energy-related electrocatalysis and network security, suggesting the listed record may combine work from more than one author with this name.
Publication activity rose through the early 2020s, peaking around 2023, with fewer listed entries in the most recent years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- DASH: Fast Differentiable Architecture Search for Hybrid Attention in Minutes on a Single GPU
arXiv (Cornell University) · 2026
- DASH: Fast Differentiable Architecture Search for Hybrid Attention in Minutes on a Single GPU
arXiv (Cornell University) · 2026
- GAF-SHViT: Lightweight Encrypted Traffic Classification via Gramian Angular Field Encoding and Single-Head Vision Transformer
2025
- No Panacea in Planning: Algorithm Selection for Suboptimal Multi-Agent Path Finding
arXiv (Cornell University) · 2024
- Manganese sulfide-sulfur and limestone autotrophic denitrification system for deep and efficient nitrate removal: Feasibility, performance and mechanism
Bioresource Technology · 2024
- Large-scale IoT attack detection scheme based on LightGBM and feature selection using an improved salp swarm algorithm
Scientific Reports · 2024
- Why Solving Multi-agent Path Finding with Large Language Model has not Succeeded Yet
arXiv (Cornell University) · 2024
- MARL-LNS: Cooperative Multi-agent Reinforcement Learning via Large Neighborhoods Search
arXiv (Cornell University) · 2024
- RePrompt: Planning by Automatic Prompt Engineering for Large Language Models Agents
arXiv (Cornell University) · 2024
- Fed-STP: An Improved Federated Learning Approach via Stage-wise Training and Pruning
2023
- A Dynamic Trading Strategy Based on Conditional Value-at-risk
2023
- A Dynamic Trading Strategy Based on Conditional Value-at-risk
2023
- Fedafr: Enhancing Federated Learning with Adaptive Feature
SSRN Electronic Journal · 2023
- Retraction notice to “Super-hydrophilic MgO/NiCo2S4 heterostructure for high-efficient oxygen evolution reaction in neutral electrolytes" [Appl. Catal. B Environ. 312 (2022) 121432]
Applied Catalysis B: Environmental · 2023
- Super-hydrophilic/super-aerophobic Ni2P/Co(PO3)2 heterostructure for high-efficiency and durable hydrogen evolution electrocatalysis at large current density in alkaline fresh water, alkaline seawater and industrial wastewater
International Journal of Hydrogen Energy · 2023
- arXiv (Cornell University)×18
- Applied Catalysis B: Environmental×2
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- International Journal of Biological Macromolecules×2
- Electrochimica Acta×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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