Jue Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Efficient Inference

Text Classification

Named Entity Recognition

Language Modelling

Top Venues

Publications

Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. ACL (1) (2024)
Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen
Effective Continual Learning for Text Classification with Lightweight Snapshots. AAAI (2023)
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding. CoRR (2023)
Jue Wang, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen
SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in The Cloud. SIGMOD Conference Companion (2023)
Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley
SkipBERT: Efficient Inference with Shallow Layer Skipping. ACL (1) (2022)
Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou
Continual Federated Learning Based on Knowledge Distillation. IJCAI (2022)
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen
Effective Slot Filling via Weakly-Supervised Dual-Model Learning. AAAI (2021)
Jue Wang, Lidan Shou, Ke Chen, Gang Chen
Pyramid: A Layered Model for Nested Named Entity Recognition. ACL (2020)
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Sharad Mehrotra
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction. CoRR (2019)