Chao Yu

Constrained Sequence-to-Tree Generation for Hierarchical Text Classification

2022 · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Hierarchical Text Classification (HTC) is a challenging task where a document can be assigned to multiple hierarchically structured categories within a taxonomy. The majority of prior studies consider HTC as a flat multi-label classification problem, …

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

Offline Multi-Agent Reinforcement Learning (MARL) is an emerging field that aims to learn optimal multi-agent policies from pre-collected datasets. Compared to single-agent case, multi-agent setting involves a large joint state-action space and coupled behaviors of …