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Ziyu Ye
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2020 – today
- 2025
[c13]Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu:
Reward-Guided Prompt Evolving in Reinforcement Learning for LLMs. ICML 2025
[i14]Mengkang Hu, Yuhang Zhou, Wendong Fan, Yuzhou Nie, Bowei Xia, Tao Sun, Ziyu Ye, Zhaoxuan Jin, Yingru Li, Qiguang Chen, Zeyu Zhang, Yifeng Wang, Qianshuo Ye, Bernard Ghanem, Ping Luo, Guohao Li:
OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation. CoRR abs/2505.23885 (2025)
[i13]Xingyue Huang, Xianglong Hu, Zifeng Ding, Yuan He, Rishabh, Waleed Alzarooni, Ziyu Ye, Wendong Fan, Bailan He, Haige Bo, Changran Hu, Guohao Li:
Distilling Tool Knowledge into Language Models via Back-Translated Traces. CoRR abs/2506.19171 (2025)
[i12]Xingyue Huang, Rishabh, Gregor Franke, Ziyi Yang, Jiamu Bai, Weijie Bai, Jinhe Bi, Zifeng Ding, Yiqun Duan, Chengyu Fan, Wendong Fan, Xin Gao, Ruohao Guo, Yuan He, Zhuangzhuang He, Xianglong Hu, Neil Johnson, Bowen Li, Fangru Lin, Siyu Lin, Tong Liu, Yunpu Ma, Hao Shen, Hao Sun, Beibei Wang, Fangyijie Wang, Hao Wang, Haoran Wang, Yang Wang, Yifeng Wang, Zhaowei Wang, Ziyang Wang, Yifan Wu, Zikai Xiao, Chengxing Xie, Fan Yang, Junxiao Yang, Qianshuo Ye, Ziyu Ye, Guangtao Zeng, Yuwen Ebony Zhang, Zeyu Zhang, Zihao Zhu, Bernard Ghanem, Philip Torr, Guohao Li:
Loong: Synthesize Long Chain-of-Thoughts at Scale through Verifiers. CoRR abs/2509.03059 (2025)
[i11]Ziyu Ye, Chen Ju, Chaofan Ma, Xiaoyun Zhang:
Unsupervised Domain Adaptation via Similarity-based Prototypes for Cross-Modality Segmentation. CoRR abs/2510.20596 (2025)- 2024
[c12]Chaoqi Wang, Ziyu Ye, Kevin Murphy, Yuxin Chen:
Don't Be Pessimistic Too Early: Look K Steps Ahead! AISTATS 2024: 3313-3321
[c11]Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka:
Understanding the Role of Equivariance in Self-supervised Learning. NeurIPS 2024
[c10]Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Shiyang Lai, Kai Shu, Jindong Gu, Adel Bibi, Ziniu Hu, David Jurgens, James Evans, Philip Torr, Bernard Ghanem, Guohao Li:
Can Large Language Model Agents Simulate Human Trust Behavior? NeurIPS 2024
[i10]Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi
, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li:
Can Large Language Model Agents Simulate Human Trust Behaviors? CoRR abs/2402.04559 (2024)
[i9]Ziyu Ye, Rishabh Agarwal, Tianqi Liu, Rishabh Joshi, Sarmishta Velury, Quoc V. Le, Qijun Tan, Yuan Liu:
Evolving Alignment via Asymmetric Self-Play. CoRR abs/2411.00062 (2024)
[i8]Pei Zeng, Debayan Bandyopadhyay, José A. Méndez Méndez, Nolan Bitner, Alexander Kolar, Michael T. Solomon, Ziyu Ye, Filip Rozpedek, Tian Zhong, F. Joseph Heremans, David D. Awschalom, Liang Jiang, Junyu Liu:
Practical hybrid PQC-QKD protocols with enhanced security and performance. CoRR abs/2411.01086 (2024)
[i7]Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang, Stefanie Jegelka:
Understanding the Role of Equivariance in Self-supervised Learning. CoRR abs/2411.06508 (2024)- 2023
[j2]Zailiang Chen, Yazheng Hou, Hui Liu, Ziyu Ye, Rongchang Zhao, Hailan Shen
:
FDCT: Fusion-Guided Dual-View Consistency Training for semi-supervised tissue segmentation on MRI. Comput. Biol. Medicine 160: 106908 (2023)
[c9]Wei Quan
, Ziyu Ye
, Bogdan J. Matuszewski
:
Development of Landmark-based Facial Asymmetry Evaluation. ICIGP 2023: 90-96
[c8]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. IJCAI 2023: 4163-4171
[c7]Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru Varadaraja, Haifeng Xu:
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. NeurIPS 2023
[i6]Junyu Liu, Minzhao Liu, Jin-Peng Liu, Ziyu Ye, Yuri Alexeev, Jens Eisert
, Liang Jiang:
Towards provably efficient quantum algorithms for large-scale machine-learning models. CoRR abs/2303.03428 (2023)
[i5]Arman Rahbar, Ziyu Ye, Yuxin Chen, Morteza Haghir Chehreghani:
Efficient Online Decision Tree Learning with Active Feature Acquisition. CoRR abs/2305.02093 (2023)
[i4]Chaoqi Wang, Ziyu Ye, Zhe Feng, Ashwinkumar Badanidiyuru, Haifeng Xu:
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts. CoRR abs/2309.13896 (2023)- 2021
[c6]Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. IJCAI 2021: 3314-3320
[c5]Ziyu Ye, Chen Ju, Chaofan Ma, Xiaoyun Zhang:
Unsupervised Domain Adaption via Similarity-Based Prototypes for Cross-Modality Segmentation. DART/FAIR@MICCAI 2021: 133-143
[i3]Ziyu Ye, Yuxin Chen, Haitao Zheng:
Understanding the Effect of Bias in Deep Anomaly Detection. CoRR abs/2105.07346 (2021)
2010 – 2019
- 2019
[j1]Zhiqiang Cao, Zheng Yang, Fang Liu, Ziyu Ye:
Buyback and stockout penalty newsvendor model based on reference point prospect theory. Clust. Comput. 22(Supplement): 4989-4999 (2019)
[c4]Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela C. Cosman, Larry B. Milstein:
Comparison of Neural Network Architectures for Spectrum Sensing. GLOBECOM Workshops 2019: 1-6
[i2]Ziyu Ye, Andrew Gilman, Qihang Peng, Kelly Levick, Pamela C. Cosman, Larry B. Milstein:
Comparison of Neural Network Architectures for Spectrum Sensing. CoRR abs/1907.07321 (2019)
[i1]Ziyu Ye, Qihang Peng, Kelly Levick, Hui Rong, Andrew Gilman, Pamela C. Cosman, Larry B. Milstein:
A Neural Network Detector for Spectrum Sensing under Uncertainties. CoRR abs/1907.07326 (2019)- 2018
[c3]Qiaoli Feng, Xuan Xiong, Wei He, Ziyu Ye, Min Yu, Xiaogan Huang:
Mathematical Modeling for Daniel - Ipa Vowel System in Csolp and Actual Application in Quantitative & Dynamic Research on Ipa Diphthongs. O-COCOSDA 2018: 43-48
[c2]Ziyu Ye, Rana D. Hegazy, Wei Zhou, Pamela C. Cosman, Larry B. Milstein:
Joint Energy Optimization of Video Encoding and Transmission. PCS 2018: 116-120- 2016
[c1]Sena Agezo, Yuxiang Zhang, Ziyu Ye, Somesh Chopra, Shrenik Vora, Timothy P. Kurzweg:
Battery-free RFID heart rate monitoring system. Wireless Health 2016: 136-142
Coauthor Index

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last updated on 2025-12-08 10:15 CET by the dblp team
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