KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model. - Lei Geng; Xu Yan; Ziqiang Cao; Juntao Li; Wenjie Li 002; Sujian Li; Xinjie Zhou; Yang Yang 074; Jun Zhang 069 (EMNLP (Findings), 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)

TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model. - Xu Yan; Lei Geng; Ziqiang Cao; Juntao Li; Wenjie Li 002; Sujian Li; Xinjie Zhou; Yang Yang 074; Jun Zhang 069 (ECAI, 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 069 (ICASSP, 2024)

Preventing the Popular Item Embedding Based Attack in Federated Recommendations. - Jun Zhang 069; Huan Li 003; Dazhong Rong; Yan Zhao 008; Ke Chen 005; Lidan Shou (ICDE, 2024)

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration. - Heming Xia; Yongqi Li 001; Jun Zhang 069; Cunxiao Du; Wenjie Li 002 (ICLR, 2025)

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)

Prot2Chat: Protein LLM with Early Fusion of Sequence and Structure. - Zhicong Wang; Zicheng Ma; Ziqiang Cao; Changlong Zhou; Jun Zhang 069; Yiqin Gao (CoRR, 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 069; Yiqin Gao; Guohong Fu (CoRR, 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 069; Ziqiang Cao; Yi Qin Gao (CoRR, 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)

KNN-SSD: Enabling Dynamic Self-Speculative Decoding via Nearest Neighbor Layer Set Optimization. - Mingbo Song; Heming Xia; Jun Zhang 069; Chak Tou Leong; Qiancheng Xu; Wenjie Li 002; Sujian Li (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)