Jue Wang

19 papers A* 6Journal 9Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.
IEEE Trans. Knowl. Data Eng.
Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou
2025 J jnl
CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.
CoRR
Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou
2025 A* conf
FloE: On-the-Fly MoE Inference on Memory-constrained GPU.
ICML
Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou
2025 J jnl
FloE: On-the-Fly MoE Inference on Memory-constrained GPU.
CoRR
Yuxin Zhou, Zheng Li, Jun Zhang, Jue Wang, Yiping Wang, Zhongle Xie, Ke Chen, Lidan Shou
2025 J jnl
HMI: Hierarchical Knowledge Management for Efficient Multi-Tenant Inference in Pretrained Language Models.
CoRR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, Xuejian Gong
2025 J jnl
HMI: hierarchical knowledge management for efficient multi-tenant inference in pretrained language models.
VLDB J.
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, Xuejian Gong
2025 A* conf
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models.
ICLR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou
2025 J jnl
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models.
CoRR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Yang You, Guiming Xie, Xuejian Gong, Kunlong Zhou
2024 — conf
Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.
ACL (1)
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
2024 J jnl
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process.
Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao
2023 J jnl
Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.
CoRR
Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra
2023 A* conf
Effective Continual Learning for Text Classification with Lightweight Snapshots.
AAAI
Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen
2023 — conf
SMILE: A Cost-Effective System for Serving Massive Pretrained Language Models in The Cloud.
SIGMOD Conference Companion
Jue Wang, Ke Chen, Lidan Shou, Dawei Jiang, Gang Chen
2022 A* conf
Continual Federated Learning Based on Knowledge Distillation.
IJCAI
Yuhang Ma, Zhongle Xie, Jue Wang, Ke Chen, Lidan Shou
2022 — conf
SkipBERT: Efficient Inference with Shallow Layer Skipping.
ACL (1)
Jue Wang, Ke Chen, Gang Chen, Lidan Shou, Julian J. McAuley
2021 A* conf
Effective Slot Filling via Weakly-Supervised Dual-Model Learning.
AAAI
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen
2020 A* conf
Pyramid: A Layered Model for Nested Named Entity Recognition.
ACL
Jue Wang, Lidan Shou, Ke Chen, Gang Chen
2020 — conf
Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders.
EMNLP (1)
Jue Wang, Wei Lu
2019 J jnl
Semi-Supervised Few-Shot Learning for Dual Question-Answer Extraction.
CoRR
Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Sharad Mehrotra