Multimodal Prompt Learning with Missing Modalities for Sentiment Analysis and Emotion Recognition. - Zirun Guo; Tao Jin 004; Zhou Zhao 001 (ACL (1), 2024)

Low-rank Prompt Interaction for Continual Vision-Language Retrieval. - Weicai Yan; Ye Wang 018; Wang Lin; Zirun Guo; Zhou Zhao 001; Tao Jin 004 (ACM Multimedia, 2024)

Classifier-guided Gradient Modulation for Enhanced Multimodal Learning. - Zirun Guo; Tao Jin 004; Jingyuan Chen; Zhou Zhao 001 (NeurIPS, 2024)

Action Imitation in Common Action Space for Customized Action Image Synthesis. - Wang Lin; Jingyuan Chen; Jiaxin Shi; Zirun Guo; Yichen Zhu; Zehan Wang 001; Tao Jin 004; Zhou Zhao 001; Fei Wu 001; Shuicheng Yan; Hanwang Zhang (NeurIPS, 2024)

Bridging the Gap for Test-Time Multimodal Sentiment Analysis. - Zirun Guo; Tao Jin 004; Wenlong Xu; Wang Lin; Yangyang Wu (AAAI, 2025)

A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter. - Zirun Guo; Xize Cheng; Yangyang Wu; Tao Jin 004 (AAAI, 2025)

ConceptGuard: Continual Personalized Text-to-Image Generation with Forgetting and Confusion Mitigation. - Zirun Guo; Tao Jin 004 (CVPR, 2025)

Smoothing the Shift: Towards Stable Test-Time Adaptation under Complex Multimodal Noises. - Zirun Guo; Tao Jin 004 (ICLR, 2025)

Diff-Prompt: Diffusion-Driven Prompt Generator with Mask Supervision. - Weicai Yan; Wang Lin; Zirun Guo; Ye Wang 018; Fangming Feng; Xiaoda Yang; Zehan Wang 001; Tao Jin 004 (ICLR, 2025)

Efficient Prompting for Continual Adaptation to Missing Modalities. - Zirun Guo; Shulei Wang; Wang Lin; Weicai Yan; Yangyang Wu; Tao Jin 004 (NAACL (Long Papers), 2025)

Omni-Chart-600K: A Comprehensive Dataset of Chart Types for Chart Understanding. - Shulei Wang; Shuai Yang; Wang Lin; Zirun Guo; Sihang Cai; Hai Huang 013; Ye Wang 018; Jingyuan Chen; Tao Jin 004 (NAACL (Findings), 2025)

Observe-R1: Unlocking Reasoning Abilities of MLLMs with Dynamic Progressive Reinforcement Learning. - Zirun Guo; Minjie Hong; Tao Jin 004 (CoRR, 2025)

APO: Enhancing Reasoning Ability of MLLMs via Asymmetric Policy Optimization. - Minjie Hong; Zirun Guo; Yan Xia 006; Zehan Wang 001; Ziang Zhang; Tao Jin 004; Zhou Zhao 001 (CoRR, 2025)