Jing Jiang

Bi-level Heterogeneous Learning for Time Series Foundation Models: A Federated Learning Approach

FeDaL: Federated Dataset Learning for General Time Series Foundation Models

WALL-E: World Alignment by NeuroSymbolic Learning improves World Model-based LLM Agents

Rethinking The Reliability of Representation Engineering in Large Language Models

Federated Adapter on Foundation Models: An Out-Of-Distribution Approach

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents