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ORCIDYiran Wu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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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- [i9]Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu:
AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. CoRR abs/2403.04783 (2024) - [i8]Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu:
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. CoRR abs/2403.11322 (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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