Fusing Appearance Features and Correlation Features for Face Video Retrieval. - Chenchen Jing; Zhen Dong 002; Mingtao Pei; Yunde Jia (PCM (2), 2017)

Deep CNN based binary hash video representations for face retrieval. - Zhen Dong 002; Chenchen Jing; Mingtao Pei; Yunde Jia (Pattern Recognit., 2018)

Unsupervised deep quantization for object instance search. - Wei Jiang; Yuwei Wu 001; Chenchen Jing; Tan Yu; Yunde Jia (Neurocomputing, 2019)

Heterogeneous Hashing Network for Face Retrieval Across Image and Video Domains. - Chenchen Jing; Zhen Dong 002; Mingtao Pei; Yunde Jia (IEEE Trans. Multim., 2019)

Overcoming Language Priors in VQA via Decomposed Linguistic Representations. - Chenchen Jing; Yuwei Wu 001; Xiaoxun Zhang; Yunde Jia; Qi Wu 001 (AAAI, 2020)

Visual-Semantic Graph Matching for Visual Grounding. - Chenchen Jing; Yuwei Wu 001; Mingtao Pei; Yao Hu; Yunde Jia; Qi Wu 001 (ACM Multimedia, 2020)

Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. - Chenchen Jing; Yunde Jia; Yuwei Wu 001; Chuanhao Li 001; Qi Wu 001 (AAAI, 2022)

Maintaining Reasoning Consistency in Compositional Visual Question Answering. - Chenchen Jing; Yunde Jia; Yuwei Wu 001; Xinyu Liu; Qi Wu 001 (CVPR, 2022)

A Self-supervised Strategy for the Robustness of VQA Models. - Jingyu Su; Chuanhao Li 001; Chenchen Jing; Yuwei Wu 001 (IIP, 2022)

Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding. - Mingliang Zhai; Chuanhao Li 001; Chenchen Jing; Yuwei Wu 001 (PRCV (1), 2022)

Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Yunde Jia; Yuwei Wu 001 (CVPR, 2023)

Learning Conditional Attributes for Compositional Zero-Shot Learning. - Qingsheng Wang; Lingqiao Liu; Chenchen Jing; Hao Chen 041; Guoqiang Liang 001; Peng Wang 015; Chunhua Shen (CVPR, 2023)

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. - Muzhi Zhu; Hengtao Li; Hao Chen 041; Chengxiang Fan; Weian Mao; Chenchen Jing; Yifan Liu 001; Chunhua Shen (ICCV, 2023)

Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. - Chenchen Jing; Yukun Li; Hao Chen 041; Chunhua Shen (AAAI, 2024)

Compositional Substitutivity of Visual Reasoning for Visual Question Answering. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Yuwei Wu 001; Mingliang Zhai; Yunde Jia (ECCV (48), 2024)

In-Context Compositional Generalization for Large Vision-Language Models. - Chuanhao Li 001; Chenchen Jing; Zhen Li 026; Mingliang Zhai; Yuwei Wu 001; Yunde Jia (EMNLP, 2024)

SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Shuo Liu; Wenqi Shao; Yuwei Wu 001; Ping Luo 002; Yu Qiao 001; Kaipeng Zhang (NeurIPS, 2024)

A Simple Image Segmentation Framework via In-Context Examples. - Yang Liu 357; Chenchen Jing; Hengtao Li; Muzhi Zhu; Hao Chen 041; Xinlong Wang; Chunhua Shen (NeurIPS, 2024)

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. - Muzhi Zhu; Yang Liu 357; Zekai Luo; Chenchen Jing; Hao Chen 041; Guangkai Xu; Xinlong Wang; Chunhua Shen (NeurIPS, 2024)

Visual-Guided Reasoning Path Generation for Visual Question Answering. - Xinyu Liu; Chenchen Jing; Mingliang Zhai; Yuwei Wu 001; Yunde Jia (PRCV (1), 2024)

UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Shuo Liu; Wenqi Shao; Yuwei Wu 001; Ping Luo 002; Yu Qiao 001; Kaipeng Zhang (CoRR, 2024)

Adversarial Sample Synthesis for Visual Question Answering. - Chuanhao Li 001; Chenchen Jing; Zhen Li 026; Yuwei Wu 001; Yunde Jia (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Consistency of Compositional Generalization Across Multiple Levels. - Chuanhao Li 001; Zhen Li 026; Chenchen Jing; Xiaomeng Fan; Wenbo Ye; Yuwei Wu 001; Yunde Jia (AAAI, 2025)

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training. - Cong Chen; Mingyu Liu; Chenchen Jing; Yizhou Zhou; Fengyun Rao; Hao Chen 041; Bo Zhang 046; Chunhua Shen (ICLR, 2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. - Jianyu Liu; Hangyu Guo; Ranjie Duan; Xingyuan Bu; Yancheng He; Shilong Li; Hui Huang 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (NAACL (Long Papers), 2025)

Dual-Modal Prototype Joint Learning for Compositional Zero-Shot Learning. - Shiyu Zhang; Cheng Yan; Yang Liu 357; Chenchen Jing; Lei Zhou 008; Wenjun Wang (CoRR, 2025)

DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. - Jianyu Liu; Hangyu Guo; Ranjie Duan; Xingyuan Bu; Yancheng He; Shilong Li; Hui Huang 021; Jiaheng Liu; Yucheng Wang; Chenchen Jing; Xingwei Qu; Xiao Zhang; et al. (CoRR, 2025)

Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models. - Wen Wang 015; Bozhen Fang; Chenchen Jing; Yongliang Shen; Yangyi Shen; Qiuyu Wang; Hao Ouyang; Hao Chen 041; Chunhua Shen (CoRR, 2025)

MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents. - Shilong Li; Xingyuan Bu; Wenjie Wang; Jiaheng Liu; Jun Dong; Haoyang He; Hao Lu; Haozhe Zhang; Chenchen Jing; Zhen Li; Chuanhao Li; Jiayi Tian; et al. (CoRR, 2025)

CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. - Yukun Li; Guansong Pang; Wei Suo; Chenchen Jing; Yuling Xi; Lingqiao Liu; Hao Chen 041; Guoqiang Liang 001; Peng Wang 015 (IEEE Trans. Neural Networks Learn. Syst., 2025)