Jun Zhang

According to our database, Jun Zhang authored at least 15 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

HMI: hierarchical knowledge management for efficient multi-tenant inference in pretrained language models.

Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Qin Xie, Guiming Xie, Xuejian Gong

VLDB J., July, 2025

${\sf CHASe}$CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.

Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou

IEEE Trans. Knowl. Data Eng., June, 2025

KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization.

Mingbo Song, Heming Xia, Jun Zhang, Chak Tou Leong, Qiancheng Xu, Wenjie Li, Sujian Li

CoRR, May, 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

CoRR, May, 2025

CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning.

Jun Zhang, Jue Wang, Huan Li, Zhongle Xie, Ke Chen, Lidan Shou

CoRR, April, 2025

ProtTeX: Structure-In-Context Reasoning and Editing of Proteins with Large Language Models.

Zicheng Ma, Chuanliu Fan, Zhicong Wang, Zhenyu Chen, Xiaohan Lin, Yanheng Li, Shihao Feng, Jun Zhang, Ziqiang Cao, Yi Qin Gao

CoRR, March, 2025

ChatMol: A Versatile Molecule Designer Based on the Numerically Enhanced Large Language Model.

Chuanliu Fan, Ziqiang Cao, Zicheng Ma, Nan Yu, Yimin Peng, Jun Zhang, Yiqin Gao, Guohong Fu

CoRR, February, 2025

Prot2Chat: Protein LLM with Early Fusion of Sequence and Structure.

Zhicong Wang, Zicheng Ma, Ziqiang Cao, Changlong Zhou, Jun Zhang, Yiqin Gao

CoRR, February, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration.

Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Preventing the Popular Item Embedding Based Attack in Federated Recommendations.

Jun Zhang, Huan Li, Dazhong Rong, Yan Zhao, Ke Chen, Lidan Shou

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Contrastive Learning with High-Quality and Low-Quality Augmented Data for Query-Focused Summarization.

Shaoyao Huang, Ziqiang Cao, Luozheng Qin, Jun Gao, Jun Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model.

Xu Yan, Lei Geng, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Draft& Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding.

Jun Zhang, Jue Wang, Huan Li, Lidan Shou, Ke Chen, Gang Chen, Sharad Mehrotra

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model.

Lei Geng, Xu Yan, Ziqiang Cao, Juntao Li, Wenjie Li, Sujian Li, Xinjie Zhou, Yang Yang, Jun Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023