Optimization of Dual Frequency-Difference MIT Sensor Array Based on Sensitivity and Resolution Analysis. - Chao Tan; Yiran Wu; Zhili Xiao; Feng Dong 001 (IEEE Access, 2018)

Size-to-depth: A New Perspective for Single Image Depth Estimation. - Yiran Wu; Sihao Ying; Lianmin Zheng (CoRR, 2018)

PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation. - Mingyang Jiang; Yiran Wu; Cewu Lu (CoRR, 2018)

Elite Representative Based Individual Adaptive Regeneration Framework for Differential Evolution. - Gaoji Sun; Yiran Wu; Libao Deng; Kai Wang (IEEE Access, 2020)

A Modular Magnetic Induction Tomography System for Low-Conductivity Medium Imaging. - Chao Tan; Yixuan Chen 006; Yiran Wu; Zhili Xiao; Feng Dong 001 (IEEE Trans. Instrum. Meas., 2021)

Improving Policy Optimization with Generalist-Specialist Learning. - Zhiwei Jia; Xuanlin Li; Zhan Ling; Shuang Liu; Yiran Wu; Hao Su 001 (ICML, 2022)

Unified Off-Policy Learning to Rank: a Reinforcement Learning Perspective. - Zeyu Zhang; Yi Su; Hui Yuan 002; Yiran Wu; Rishab Balasubramanian; Qingyun Wu; Huazheng Wang; Mengdi Wang (NeurIPS, 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 001 (CoRR, 2023)

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework. - Qingyun Wu; Gagan Bansal; Jieyu Zhang 001; Yiran Wu; Shaokun Zhang; Erkang Zhu; Beibin Li; Li Jiang; Xiaoyun Zhang; Chi Wang 001 (CoRR, 2023)

HyperTime: Hyperparameter Optimization for Combating Temporal Distribution Shifts. - Shaokun Zhang; Yiran Wu; Zhonghua Zheng; Qingyun Wu; Chi Wang 001 (ACM Multimedia, 2024)

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks. - Yifan Zeng; Yiran Wu; Xiao Zhang; Huazheng Wang; Qingyun Wu (CoRR, 2024)

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows. - Yiran Wu; Tianwei Yue; Shaokun Zhang; Chi Wang 001; Qingyun Wu (CoRR, 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 001; Yong-Jin Liu 001 (CoRR, 2024)

Absolute Zero: Reinforced Self-play Reasoning with Zero Data. - Andrew Zhao; Yiran Wu; Yang Yue; Tong Wu; Quentin Xu; Yang Yue; Matthieu Lin; Shenzhi Wang; Qingyun Wu; Zilong Zheng; Gao Huang 001 (CoRR, 2025)

SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement. - Chelsi Jain; Yiran Wu; Yifan Zeng; Jiale Liu; S. hengyu Dai; Zhenwen Shao; Qingyun Wu; Huazheng Wang (CoRR, 2025)

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation. - Yiran Wu; Mauricio Velazco; Andrew Zhao; Manuel Raúl Meléndez Luján; Srisuma Movva; Yogesh K. Roy; Quang Nguyen; Roberto Rodriguez; Qingyun Wu; Michael Albada; Julia Kiseleva; Anand Mudgerikar (CoRR, 2025)

A Survey of Self-Evolving Agents: On Path to Artificial Super Intelligence. - Huan-ang Gao; Jiayi Geng; Wenyue Hua; Mengkang Hu; Xinzhe Juan; Hongzhang Liu; Shilong Liu; Jiahao Qiu; Xuan Qi; Yiran Wu; Hongru Wang 003; Han Xiao; et al. (CoRR, 2025)