Shou, Lidan

9 publications

AAAI 2025 CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li

ICML 2025 FloE: On-the-Fly MoE Inference on Memory-Constrained GPU Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou

ICLR 2025 Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou

AAAI 2024 CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition Cheng Peng, Ke Chen, Lidan Shou, Gang Chen

AAAI 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection Cheng Peng, Ke Chen, Lidan Shou, Gang Chen

AAAI 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen

IJCAI 2023 FedBFPT: An Efficient Federated Learning Framework for BERT Further Pre-Training Xin'ao Wang, Huan Li, Ke Chen, Lidan Shou

IJCAI 2022 Continual Federated Learning Based on Knowledge Distillation Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou

AAAI 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen