Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction. - Jue Wang 019; Ke Chen 005; Lidan Shou; Sai Wu; Sharad Mehrotra (CoRR, 2019)

Pyramid: A Layered Model for Nested Named Entity Recognition. - Jue Wang 019; Lidan Shou; Ke Chen 005; Gang Chen 001 (ACL, 2020)

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders. - Jue Wang 019; Wei Lu 011 (EMNLP (1), 2020)

Effective Slot Filling via Weakly-Supervised Dual-Model Learning. - Jue Wang 019; Ke Chen 005; Lidan Shou; Sai Wu; Gang Chen 001 (AAAI, 2021)

SkipBERT: Efficient Inference with Shallow Layer Skipping. - Jue Wang 019; Ke Chen 005; Gang Chen 001; Lidan Shou; Julian J. McAuley (ACL (1), 2022)

Continual Federated Learning Based on Knowledge Distillation. - Yuhang Ma; Zhongle Xie; Jue Wang 019; Ke Chen 005; Lidan Shou (IJCAI, 2022)

Effective Continual Learning for Text Classification with Lightweight Snapshots. - Jue Wang 019; Dajie Dong; Lidan Shou; Ke Chen 005; Gang Chen 001 (AAAI, 2023)

SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in The Cloud. - Jue Wang 019; Ke Chen 005; Lidan Shou; Dawei Jiang; Gang Chen 001 (SIGMOD Conference Companion, 2023)

Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Lidan Shou; Ke Chen 005; Gang Chen 001; Sharad Mehrotra (ACL (1), 2024)

Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. - Cheng Peng 011; Haobo Wang 001; Jue Wang 019; Lidan Shou; Ke Chen 005; Gang Chen 001; Chang Yao (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Lidan Shou; Ke Chen 005; Yang You; Guiming Xie; Xuejian Gong; Kunlong Zhou (ICLR, 2025)

CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Zhongle Xie; Ke Chen 005; Lidan Shou (CoRR, 2025)

FloE: On-the-Fly MoE Inference on Memory-constrained GPU. - Yuxin Zhou; Zheng Li 006; Jun Zhang 069; Jue Wang 019; Yiping Wang; Zhongle Xie; Ke Chen 005; Lidan Shou (CoRR, 2025)

${ sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Zhongle Xie; Ke Chen 005; Lidan Shou (IEEE Trans. Knowl. Data Eng., 2025)

HMI: hierarchical knowledge management for efficient multi-tenant inference in pretrained language models. - Jun Zhang 069; Jue Wang 019; Huan Li 003; Lidan Shou; Ke Chen 005; Gang Chen 001; Qin Xie; Guiming Xie; Xuejian Gong (VLDB J., 2025)