Brian Zhang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
Test-Time Strategies for More Efficient and Accurate Agentic RAG.
CoRR, March, 2026

2025
LithOS: An Operating System for Efficient Machine Learning on GPUs.
Proceedings of the ACM SIGOPS 31st Symposium on Operating Systems Principles, 2025

TrajFlow: Multi-modal Motion Prediction via Flow Matching.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Codetierlist: Competitive Gamification's Impact on Self-Efficacy, Motivation, and Performance in Computing Education.
Proceedings of the 27th Australasian Computing Education Conference, 2025

2024
Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Finding Accounting Errors in Smart Contracts.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Elevating Visual Prompting in Transfer Learning Via Pruned Model Ensembles: No Retrain, No Pain.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Demystifying Exploitable Bugs in Smart Contracts.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022
Achieving Both Model Accuracy and Robustness by Adversarial Training with Batch Norm Shaping.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2019
Cache-Friendly Search Trees; or, In Which Everything Beats std: : set.
CoRR, 2019

2018
Zap: Making Predictions Based on Online User Behavior.
CoRR, 2018

2017
The Kinetics Human Action Video Dataset.
CoRR, 2017

Issues with conducting controlled on-line experiments for E-Commerce.
Proceedings of the 18th IEEE/ACIS International Conference on Software Engineering, 2017


  Loading...