Yanqiu Wu

19 papers A* 2A 1Journal 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
DGRNet: Disagreement-Guided Refinement for Uncertainty-Aware Brain Tumor Segmentation.
CoRR
Bahram Mohammadi, Yanqiu Wu, Vu Minh Hieu Phan, Sam White, Minh-Son To, Jian Yang, Michael Sheng, Yang Song, Yuankai Qi
2026 J jnl
Fault-Tolerant Evaluation for Sample-Efficient Model Performance Estimators.
CoRR
Zihan Zhu, Yanqiu Wu, Qiongkai Xu
2025 J jnl
A Survey on Progress in LLM Alignment from the Perspective of Reward Design.
CoRR
Miaomiao Ji, Yanqiu Wu, Zhibin Wu, Shoujin Wang, Jian Yang, Mark Dras, Usman Naseem
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part I
PAKDD (1)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II
PAKDD (2)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part III
PAKDD (3)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part IV
PAKDD (4)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2025 — ed.
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part V
PAKDD (5)
Xintao Wu, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu
2023 J jnl
Quantum-Inspired Machine Learning: a Survey.
CoRR
Larry Huynh, Jin B. Hong, Ajmal Mian, Hajime Suzuki, Yanqiu Wu, Seyit Camtepe
2023 J jnl
Radio Signal Classification by Adversarially Robust Quantum Machine Learning.
CoRR
Yanqiu Wu, Eromanga Adermann, Chandra Thapa, Seyit Camtepe, Hajime Suzuki, Muhammad Usman
2022 — —
Improving Sample Efficiency in Off-policy and Offline Deep Reinforcement Learning
Yanqiu Wu
2022 J jnl
Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning.
CoRR
Yanqiu Wu, Qingyang Li, Zhiwei Tony Qin
2021 J jnl
Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance.
CoRR
Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross
2020 A* conf
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning.
NeurIPS
Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Keith W. Ross
2020 A* conf
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling.
ICML
Che Wang, Yanqiu Wu, Quan Vuong, Keith W. Ross
2019 J jnl
BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning.
CoRR
Xinyue Chen, Zijian Zhou, Zheng Wang, Che Wang, Yanqiu Wu, Qing Deng, Keith W. Ross
2019 J jnl
Towards Simplicity in Deep Reinforcement Learning: Streamlined Off-Policy Learning.
CoRR
Che Wang, Yanqiu Wu, Quan Vuong, Keith W. Ross
2017 J jnl
Taking the Pulse of US College Campuses with Location-Based Anonymous Mobile Apps.
ACM Trans. Intell. Syst. Technol.
Yanqiu Wu, Tehila Minkus, Keith W. Ross
2016 A conf
You Can Yak but You Can't Hide: Localizing Anonymous Social Network Users.
Internet Measurement Conference
Minhui Xue, Cameron L. Ballard, Kelvin Liu, Carson L. Nemelka, Yanqiu Wu, Keith W. Ross, Haifeng Qian