Peiyao Xiao

23 papers A* 6B 3Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepMTL2R: A Library for Deep Multi-task Learning to Rank.
CoRR
Chaosheng Dong, Peiyao Xiao, Yijia Wang, Kaiyi Ji
2026 J jnl
HLE-Verified: A Systematic Verification and Structured Revision of Humanity's Last Exam.
CoRR
Weiqi Zhai, Zhihai Wang, Jinghang Wang, Boyu Yang, Xiaogang Li, Xander Xu, Bohan Wang, Peng Wang, Xingzhe Wu, Anfeng Li, Qiyuan Feng, Yuhao Zhou, Shoulin Han, Wenjie Luo, Yiyuan Li, Yaxuan Wang, Ruixian Luo, Guojie Lin, Peiyao Xiao, Chengliang Xu, Ben Wang, Zeyu Wang, Zichao Chen, Jianan Ye, Yijie Hu, Jialong Chen, Zongwen Shen, Yuliang Xu, An Yang, Bowen Yu, Dayiheng Liu, Junyang Lin, Hu Wei, Que Shen, Bing Zhao
2026 J jnl
SPM-Bench: Benchmarking Large Language Models for Scanning Probe Microscopy.
CoRR
Peiyao Xiao, Xiaogang Li, Chengliang Xu, Jiayi Wang, Ben Wang, Zichao Chen, Zeyu Wang, Kejun Yu, Yueqian Chen, Xulin Liu, Wende Xiao, Bing Zhao, Hu Wei
2025 A* conf
First-Order Federated Bilevel Learning.
AAAI
Yifan Yang, Peiyao Xiao, Shiqian Ma, Kaiyi Ji
2025 A* conf
MGDA Converges under Generalized Smoothness, Provably.
ICLR
Qi Zhang, Peiyao Xiao, Shaofeng Zou, Kaiyi Ji
2025 J jnl
ReGNet: Reciprocal Space-Aware Long-Range Modeling and Multi-Property Prediction for Crystals.
CoRR
Jianan Nie, Peiyao Xiao, Kaiyi Ji, Peng Gao
2025 J jnl
Scalable Bilevel Loss Balancing for Multi-Task Learning.
CoRR
Peiyao Xiao, Chaosheng Dong, Shaofeng Zou, Kaiyi Ji
2025 J jnl
Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning.
IEEE Trans. Inf. Theory
Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou
2024 J jnl
Finite-Time Analysis for Conflict-Avoidant Multi-Task Reinforcement Learning.
CoRR
Yudan Wang, Peiyao Xiao, Hao Ban, Kaiyi Ji, Shaofeng Zou
2024 J jnl
On the Convergence of Multi-objective Optimization under Generalized Smoothness.
CoRR
Qi Zhang, Peiyao Xiao, Kaiyi Ji, Shaofeng Zou
2023 A* conf
Achieving O(ε
NeurIPS
Yifan Yang, Peiyao Xiao, Kaiyi Ji
2023 J jnl
Achieving O(ε
CoRR
Yifan Yang, Peiyao Xiao, Kaiyi Ji
2023 A* conf
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation.
ICML
Peiyao Xiao, Kaiyi Ji
2023 J jnl
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation.
CoRR
Peiyao Xiao, Kaiyi Ji
2023 A* conf
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms.
NeurIPS
Peiyao Xiao, Hao Ban, Kaiyi Ji
2023 J jnl
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms.
CoRR
Peiyao Xiao, Hao Ban, Kaiyi Ji
2023 A* conf
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning.
NeurIPS
Yifan Yang, Peiyao Xiao, Kaiyi Ji
2023 J jnl
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning.
CoRR
Yifan Yang, Peiyao Xiao, Kaiyi Ji
2015 B conf
Hybrid SDN architecture to integrate with legacy control and management plane: An experiences-based study.
IM
Tao Feng, Jun Bi, Peiyao Xiao, Xiuli Zheng
2014 B conf
Performing software defined route-based IP spoofing filtering with SEFA.
ICCCN
Guang Yao, Jun Bi, Tao Feng, Peiyao Xiao, Duanqi Zhou
2013 J jnl
VASE: Filtering IP spoofing traffic with agility.
Comput. Networks
Guang Yao, Jun Bi, Peiyao Xiao
2012 — conf
A Flow-Based Traceback Scheme on an AS-Level Overlay Network.
ICDCS Workshops
Hongcheng Tian, Jun Bi, Peiyao Xiao
2011 B conf
Source address validation solution with OpenFlow/NOX architecture.
ICNP
Guang Yao, Jun Bi, Peiyao Xiao