Xiaochuan Gong

11 papers A* 3Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bilevel Optimization with Lower-Level Uniform Convexity: Theory and Algorithm.
CoRR
Yuman Wu, Xiaochuan Gong, Jie Hao, Mingrui Liu
2025 J jnl
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization.
CoRR
Xiaochuan Gong, Jie Hao, Mingrui Liu
2025 J jnl
Noise-Adaptive Layerwise Learning Rates: Accelerating Geometry-Aware Optimization for Deep Neural Network Training.
CoRR
Jie Hao, Xiaochuan Gong, Jie Xu, Zhengdao Wang, Mingrui Liu
2025 J jnl
On the Convergence of Adam-Type Algorithm for Bilevel Optimization under Unbounded Smoothness.
CoRR
Xiaochuan Gong, Jie Hao, Mingrui Liu
2024 A* conf
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness.
ICML
Xiaochuan Gong, Jie Hao, Mingrui Liu
2024 J jnl
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness.
CoRR
Xiaochuan Gong, Jie Hao, Mingrui Liu
2024 A* conf
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness.
NeurIPS
Xiaochuan Gong, Jie Hao, Mingrui Liu
2024 J jnl
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness.
CoRR
Xiaochuan Gong, Jie Hao, Mingrui Liu
2024 A* conf
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis.
ICLR
Jie Hao, Xiaochuan Gong, Mingrui Liu
2024 J jnl
Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis.
CoRR
Jie Hao, Xiaochuan Gong, Mingrui Liu
2023 — conf
Implementation of real-time RTK/DGNSS on smartphones and positioning improvement for millions of users in Southeast Asia.
PLANS
Xiao Hu, Xiaochuan Gong, Xiaolong Ji, Chao Wei, Hann Lam Woo, Firdaus Kiagos, Yanjin Li, Chunda Ding, Minbo Qiu, Bo Hu
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski