4 citations · 4 across the 5 of their papers we have counts for
6 papers
Evolutionary Computation for Trustworthy AI: From Attacks and Defenses to Self-Evolving Era
Junhao Dong, Chenkai Wang, Xuanhui Lin +8
As Artificial Intelligence (AI) has evolved from task-specific models to foundation models and agents, the scope of trustworthy AI has expanded from model-level robustness to the r…
Calibrating Agent-Based Financial Markets Simulators with Pretrainable Automatic Posterior Transformation-Based Surrogates
Boquan Jiang, Zhenhua Yang, Chenkai Wang +3
Calibrating Agent-Based Models (ABMs) is an important optimization problem for simulating the complex social systems, where the goal is to identify the optimal parameter of a given…
Online Regime-aware Calibration for Black-box Social Simulators via Posterior-assisted Evolutionary Dynamic Optimization
Peng Yang, Zhenhua Yang, Boquan Jiang +3
Evolutionary dynamic optimization (EDO) commonly assumes that environmental changes can be detected from fitness variations and handled through random re-initialization, historical…
Learning from Expert Factors: Trajectory-level Reward Shaping for Formulaic Alpha Mining
Junjie Zhao, Chengxi Zhang, Chenkai Wang +1
Reinforcement learning (RL) has successfully automated the complex process of mining formulaic alpha factors, for creating interpretable and profitable investment strategies. Howev…
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control
Xinyi Yuan, Zhiwei Shang, Zifan Wang +7
Diffusion models demonstrate superior performance in capturing complex distributions from large-scale datasets, providing a promising solution for quadrupedal locomotion control. H…
Alleviating Non-identifiability: a High-fidelity Calibration Objective for Financial Market Simulation with Multivariate Time Series Data
Chenkai Wang, Junji Ren, Peng Yang
The non-identifiability issue has been frequently reported in social simulation works, where different parameters of an agent-based simulation model yield indistinguishable simulat…