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Home/Authors/Yonghao Li

Yonghao Li

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Portfolio Management×1AI×1NLP×1

Frequent co-authors

Chaofan Pan1×
Lingfei Ren1×
Linbo Xiong1×
Wei Wei1×
Xin Yang1×
Xiaosong Han1×

Research Timeline

2026
Regime-Adaptive Continual Learning for Portfolio Management

The paper proposes ReCAP, a novel continual learning framework for portfolio management, which adaptively combines policies from a library based on detected market regimes to achieve superior long-term returns and rapid adaptation to market shifts.

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning

TRACE proposes a novel method to mitigate catastrophic forgetting in continual LLM fine-tuning by identifying and isolating a small, task-specific subset of essential parameters for each task.

Highlighted terms show continued research focus across papers

Papers

q-fin.PMcs.AIRecentMay 29, 2026

Regime-Adaptive Continual Learning for Portfolio Management

Chaofan Pan, Lingfei Ren, Linbo Xiong, Yonghao Li +2 more

The paper proposes ReCAP, a novel continual learning framework for portfolio management, which adaptively combines policies from a library based on detected market regimes to achieve superior long-ter…

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cs.CLRecentMay 29, 2026

TRACE: Discovering Task-Specific Parameter via Adaptation-Aware Probing for Continual Fine-Tuning

Xiaosong Han, Ke Chen, Xindi Dai, Di Liang +6 more

TRACE proposes a novel method to mitigate catastrophic forgetting in continual LLM fine-tuning by identifying and isolating a small, task-specific subset of essential parameters for each task.

View →