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ORCIDYiran Wu
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2020 – today
- 2024
[c3]Shaokun Zhang
, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. ACM Multimedia 2024: 4610-4619- [i10]Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu:
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR abs/2403.04783 (2024) - [i9]Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu:
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR abs/2403.11322 (2024) - [i8]Matthieu Lin, Jenny Sheng, Andrew Zhao, Shenzhi Wang, Yang Yue, Yiran Wu, Huan Liu, Jun Liu, Gao Huang, Yong-Jin Liu:
LLM-based Optimization of Compound AI Systems: A Survey. CoRR abs/2410.16392 (2024) - 2023
- [c2]Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang:
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. NeurIPS 2023 - [i7]Shaokun Zhang, Yiran Wu, Zhonghua Zheng, Qingyun Wu, Chi Wang:
HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. CoRR abs/2305.18421 (2023) - [i6]Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang:
An Empirical Study on Challenging Math Problem Solving with GPT-4. CoRR abs/2306.01337 (2023) - [i5]Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang:
Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. CoRR abs/2306.07528 (2023) - [i4]Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, Chi Wang:
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. CoRR abs/2308.08155 (2023) - 2022
- [c1]Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su:
Improving Policy Optimization with Generalist-Specialist Learning. ICML 2022: 10104-10119 - [i3]Zhiwei Jia, Xuanlin Li, Zhan Ling, Shuang Liu, Yiran Wu, Hao Su:
Improving Policy Optimization with Generalist-Specialist Learning. CoRR abs/2206.12984 (2022) - 2021
- [j3]Chao Tan, Yixuan Chen, Yiran Wu, Zhili Xiao, Feng Dong:
A Modular Magnetic Induction Tomography System for Low-Conductivity Medium Imaging. IEEE Trans. Instrum. Meas. 70: 1-8 (2021) - 2020
- [j2]Gaoji Sun, Yiran Wu, Libao Deng, Kai Wang:
Elite Representative Based Individual Adaptive Regeneration Framework for Differential Evolution. IEEE Access 8: 61226-61245 (2020)
2010 – 2019
- 2018
- [j1]Chao Tan, Yiran Wu, Zhili Xiao, Feng Dong:
Optimization of Dual Frequency-Difference MIT Sensor Array Based on Sensitivity and Resolution Analysis. IEEE Access 6: 34911-34920 (2018) - [i2]Yiran Wu, Sihao Ying, Lianmin Zheng:
Size-to-depth: A New Perspective for Single Image Depth Estimation. CoRR abs/1801.04461 (2018) - [i1]Mingyang Jiang, Yiran Wu, Cewu Lu:
PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation. CoRR abs/1807.00652 (2018)
Coauthor Index
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