Yiran Wu

According to our database, Yiran Wu authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

LLM-based Optimization of Compound AI Systems: A Survey.

Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi Wang, Yang Yue, Yiran Wu, Huan Liu, Jun Liu, Gao Huang, Yong-Jin Liu

CoRR, 2024

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows.

Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu

CoRR, 2024

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks.

Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu

CoRR, 2024

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts.

Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework.

Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang

CoRR, 2023

An Empirical Study on Challenging Math Problem Solving with GPT-4.

Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang

CoRR, 2023

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective.

Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Improving Policy Optimization with Generalist-Specialist Learning.

Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su

Proceedings of the International Conference on Machine Learning, 2022

2021

A Modular Magnetic Induction Tomography System for Low-Conductivity Medium Imaging.

Chao Tan, Yixuan Chen, Yiran Wu, Zhili Xiao, Feng Dong

IEEE Trans. Instrum. Meas., 2021

2020

Elite Representative Based Individual Adaptive Regeneration Framework for Differential Evolution.

Gaoji Sun, Yiran Wu, Libao Deng, Kai Wang

IEEE Access, 2020

2018

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation.

Mingyang Jiang, Yiran Wu, Cewu Lu

CoRR, 2018

Size-to-depth: A New Perspective for Single Image Depth Estimation.

Yiran Wu, Sihao Ying, Lianmin Zheng

CoRR, 2018

Optimization of Dual Frequency-Difference MIT Sensor Array Based on Sensitivity and Resolution Analysis.

Chao Tan, Yiran Wu, Zhili Xiao, Feng Dong

IEEE Access, 2018