Large scale air pollution prediction with deep convolutional networks. - Gao Huang 001; Chunjiang Ge; Tianyu Xiong; Shiji Song; Le Yang 007; Baoxian Liu; Wenjun Yin; Cheng Wu (Sci. China Inf. Sci., 2021)

On the Integration of Self-Attention and Convolution. - Xuran Pan; Chunjiang Ge; Rui Lu; Shiji Song; Guanfu Chen; Zeyi Huang; Gao Huang 001 (CVPR, 2022)

Cross-Modal Adapter for Text-Video Retrieval. - Haojun Jiang; Jianke Zhang; Rui Huang; Chunjiang Ge; Zanlin Ni; Jiwen Lu; Jie Zhou 001; Shiji Song; Gao Huang 001 (CoRR, 2022)

Causal Intervention for Human Trajectory Prediction with Cross Attention Mechanism. - Chunjiang Ge; Shiji Song; Gao Huang 001 (AAAI, 2023)

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. - Kai Yang; Jian Tao; Jiafei Lyu; Chunjiang Ge; Jiaxin Chen; Qimai Li; Weihan Shen; Xiaolong Zhu; Xiu Li 001 (CoRR, 2023)

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. - Kai Yang; Jian Tao; Jiafei Lyu; Chunjiang Ge; Jiaxin Chen; Weihan Shen; Xiaolong Zhu; Xiu Li 001 (CVPR, 2024)

LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Zonghao Guo; Ruyi Xu; Yuan Yao 013; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Gao Huang 001 (ECCV (83), 2024)

Demystify Mamba in Vision: A Linear Attention Perspective. - Dongchen Han; Ziyi Wang; Zhuofan Xia; Yizeng Han; Yifan Pu; Chunjiang Ge; Jun Song; Shiji Song; Bo Zheng; Gao Huang 001 (NeurIPS, 2024)

LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. - Ruyi Xu; Yuan Yao 013; Zonghao Guo; Junbo Cui; Zanlin Ni; Chunjiang Ge; Tat-Seng Chua; Zhiyuan Liu 001; Maosong Sun 001; Gao Huang 001 (CoRR, 2024)

ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models. - Chunjiang Ge; Sijie Cheng; Ziming Wang; Jiale Yuan; Yuan Gao; Jun Song; Shiji Song; Gao Huang 001; Bo Zheng (CoRR, 2024)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chunjiang Ge; Chaoqun Du; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CoRR, 2024)

T2Vid: Translating Long Text into Multi-Image is the Catalyst for Video-LLMs. - Shukang Yin; Chaoyou Fu; Sirui Zhao; Yunhang Shen; Chunjiang Ge; Yan Yang; Zuwei Long; Yuhan Dai; Tong Xu 001; Xing Sun 001; Ran He 001; Caifeng Shan; et al. (CoRR, 2024)

Everything to the Synthetic: Diffusion-driven Test-time Adaptation via Synthetic-Domain Alignment. - Jiayi Guo; Junhao Zhao; Chaoqun Du; Yulin Wang; Chunjiang Ge; Zanlin Ni; Shiji Song; Humphrey Shi; Gao Huang 001 (CVPR, 2025)

OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding? - Junbo Niu; Yifei Li; Ziyang Miao; Chunjiang Ge; Yuanhang Zhou; Qihao He; Xiaoyi Dong; Haodong Duan; Shuangrui Ding; Rui Qian 001; Pan Zhang 001; Yuhang Zang; et al. (CVPR, 2025)

Cross-modal adapter for vision-language retrieval. - Haojun Jiang; Jianke Zhang; Rui Huang; Chunjiang Ge; Zanlin Ni; Shiji Song; Gao Huang 001 (Pattern Recognit., 2025)

Domain Adaptation via Prompt Learning. - Chunjiang Ge; Rui Huang; Mixue Xie; Zihang Lai; Shiji Song; Shuang Li 008; Gao Huang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Native Visual Understanding: Resolving Resolution Dilemmas in Vision-Language Models. - Junbo Niu; Yuanhong Zheng; Ziyang Miao; Hejun Dong; Chunjiang Ge; Hao Liang; Ma Lu; Bohan Zeng; Qiahao Zheng; Conghui He; Wentao Zhang 001 (CoRR, 2025)