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Jiechao Gao — most-cited papers & profile · Large Language Models
← authors
·
overview
Jiechao Gao
16
papers ·
15
citations ·
26
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Deep Reinforcement Learning for Cryptocurrency Trading: Practical Approach to Address Backtest Overfitting
2022 · 7 citations
The Confidence Paradox: Can LLM Know When It's Wrong
2025 · 2 citations
FinRL-Meta: A Universe of Near-Real Market Environments for Data-Driven Deep Reinforcement Learning in Quantitative Finance
2021 · 2 citations
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System
2025 · 1 citations
Dynamic Datasets and Market Environments for Financial Reinforcement Learning
2023 · 1 citations
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
2023 · 1 citations
FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems
2024 · 1 citations
Can Argus Judge Them All? Comparing VLMs Across Domains
2025
They Said Memes Were Harmless-We Found the Ones That Hurt: Decoding Jokes, Symbols, and Cultural References
2026
Can We Predict Your Next Move Without Breaking Your Privacy?
2025
Track Any Anomalous Object: A Granular Video Anomaly Detection Pipeline
2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning
2025
Learning Novel Transformer Architecture for Time-series Forecasting
2025
Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images
2023
Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
2024
Topics
Federated Learning
Benchmarks
Vision-Language Models
Privacy
Data Heterogeneity
Visual QA & Reasoning
Multi-Agent
Meta-RL
Value-Based
Safe RL