Pengkun Jiao

According to our database, Pengkun Jiao authored at least 12 papers between 2024 and 2026.

Collaborative distances:

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

2026

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models.

Ziyao Tang, Pengkun Jiao, Bin Zhu, Huiyan Qi, Jingjing Chen, Yu-Gang Jiang

CoRR, April, 2026

Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction.

Ziyao Tang, Pengkun Jiao, Xinhang Chen, Wei Liu, Shiyong Li, Jingjing Chen

CoRR, February, 2026

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance.

Jianhui Yang, Yiming Jin, Pengkun Jiao, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang

Proceedings of the ACM Web Conference 2026, 2026

RoDE: Linear Rectified Mixture of Diverse Experts for Food Large Multi-Modal Models.

Pengkun Jiao, Xinlan Wu, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Proceedings of the 2026 International Conference on Multimedia Retrieval, 2026

2025

Dual-LoRA and Quality-Enhanced Pseudo Replay for Multimodal Continual Food Learning.

Xinlan Wu, Bin Zhu, Feng Han, Pengkun Jiao, Jingjing Chen

CoRR, November, 2025

TaoSR-SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance.

Pengkun Jiao, Yiming Jin, Jianhui Yang, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang

CoRR, October, 2025

TaoSR1: The Thinking Model for E-commerce Relevance Search.

Chenhe Dong, Shaowei Yao, Pengkun Jiao, Jianhui Yang, Yiming Jin, Zerui Huang, Xiaojiang Zhou, Dan Ou, Haihong Tang

CoRR, August, 2025

Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs.

Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

CoRR, April, 2025

Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization.

Pengkun Jiao, Na Zhao, Jingjing Chen, Yu-Gang Jiang

IEEE Trans. Multim., 2025

From Holistic to Localized: Local Enhanced Adapters for Efficient Visual Instruction Fine-Tuning.

Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Visual Cue Enhancement and Dual Low-Rank Adaptation for Efficient Visual Instruction Fine-Tuning.

Pengkun Jiao, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

CoRR, 2024

Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image.

Pengkun Jiao, Na Zhao, Jingjing Chen, Yu-Gang Jiang

Proceedings of the Computer Vision - ECCV 2024, 2024