Jun Zhang

Orcid: 0000-0002-5245-7956

Affiliations:

Zhejiang University, State Key Laboratory of Blockchain and Data Security, China

According to our database¹, Jun Zhang authored at least 22 papers between 2023 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

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Bibliography

2025

SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning.

[BibT_eX]

[DOI]

CoRR, August, 2025

ProtTeX-CC: Activating In-Context Learning in Protein LLM via Two-Stage Instruction Compression.

[BibT_eX]

[DOI]

CoRR, August, 2025

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

[BibT_eX]

[DOI]

VLDB J., July, 2025

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

CoRR, May, 2025

OpenThinkIMG: Learning to Think with Images via Visual Tool Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, May, 2025

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

[BibT_eX]

[DOI]

CoRR, April, 2025

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

[BibT_eX]

[DOI]

CoRR, March, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

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

[BibT_eX]

[DOI]

CoRR, February, 2025

FloE: On-the-Fly MoE Inference on Memory-constrained GPU.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM.

[BibT_eX]

[DOI]

CoRR, 2024

Timo: Towards Better Temporal Reasoning for Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Preventing the Popular Item Embedding Based Attack in Federated Recommendations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

TabMedBERT: A Tabular Knowledge Enhanced Biomedical Pretrained Language Model.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Jun Zhang

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