Chenchen Jing

According to our database, Chenchen Jing authored at least 44 papers between 2017 and 2026.

Collaborative distances:

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

2026

Zippo: RGB-Alpha Joint Modeling With a Unified Diffusion Model.

Kangyang Xie, Binbin Yang, Chenchen Jing, Cheng Peng, Meng Wang, Cheng Zou, Ming Yang, Heqian Qiu, Hongliang Li, Hao Chen

IEEE Trans. Circuits Syst. Video Technol., June, 2026

Multi-Modal Primitive Retrieval for Compositional Zero-Shot Learning.

Chenchen Jing, Haozhe Zhang, Junbo Lu, Yang Liu, Hao Chen, Xiaoqin Zhang, Chunhua Shen

Int. J. Comput. Vis., March, 2026

Differentiate-and-Inject: Enhancing VLAs via Functional Differentiation Induced by In-Parameter Structural Reasoning.

Jingyi Hou, Leyu Zhou, Chenchen Jing, Jinghan Yang, Xinbo Yu, Wei He

CoRR, February, 2026

Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration.

Linhao Zhong, Linyu Wu, Wen Wang, Yuling Xi, Chenchen Jing, Jiaheng Zhang, Hao Chen, Chunhua Shen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models.

Linhao Zhong, Linyu Wu, Bozhen Fang, Tianjian Feng, Chenchen Jing, Wen Wang, Jiaheng Zhang, Hao Chen, Chunhua Shen

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Composition-Incremental Learning for Compositional Generalization.

Zhen Li, Yuwei Wu, Chenchen Jing, Che Sun, Chuanhao Li, Yunde Jia

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Quality.

Zekai Luo, Zongze Du, Zhouhang Zhu, Hao Zhong, Muzhi Zhu, Wen Wang, Yuling Xi, Chenchen Jing, Hao Chen, Chunhua Shen

CoRR, December, 2025

Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot Learning.

Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Peng Wang, Yanning Zhang, Chunhua Shen

IEEE Trans. Pattern Anal. Mach. Intell., November, 2025

Evolutionary Profiles for Protein Fitness Prediction.

Jigang Fan, Xiaoran Jiao, Shengdong Lin, Zhanming Liang, Weian Mao, Chenchen Jing, Hao Cheng, Chunhua Shen

CoRR, October, 2025

Adaptive Model Ensemble for Continual Learning.

Yuchuan Mao, Zhi Gao, Xiaomeng Fan, Yuwei Wu, Yunde Jia, Chenchen Jing

CoRR, September, 2025

Learning by Imagining: Debiased Feature Augmentation for Compositional Zero-Shot Learning.

Haozhe Zhang, Chenchen Jing, Mingyu Liu, Qingsheng Wang, Hao Chen

CoRR, September, 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, Guoqiang Liang, Peng Wang

IEEE Trans. Neural Networks Learn. Syst., August, 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, Chenchen Zhang, Tianhao Peng, Yancheng He, Jihao Gu, Yuanxing Zhang, Jian Yang, Ge Zhang, Wenhao Huang, Wangchunshu Zhou, Zhaoxiang Zhang, Ruizhe Ding, Shilei Wen

CoRR, August, 2025

Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models.

Wen Wang, Bozhen Fang, Chenchen Jing, Yongliang Shen, Yangyi Shen, Qiuyu Wang, Hao Ouyang, Hao Chen, Chunhua Shen

CoRR, August, 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, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Yingshui Tan, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

CoRR, April, 2025

Dual-Modal Prototype Joint Learning for Compositional Zero-Shot Learning.

Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang

CoRR, January, 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, Jiaheng Liu, Yucheng Wang, Chenchen Jing, Xingwei Qu, Xiao Zhang, Pei Wang, Yanan Wu, Jihao Gu, Yangguang Li, Jianke Zhu

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning.

Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training.

Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Learning Visual Proxy for Compositional Zero-Shot Learning.

Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang

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

Unified Open-World Segmentation with Multi-Modal Prompts.

Yang Liu, Yufei Yin, Chenchen Jing, Muzhi Zhu, Hao Chen, Yuling Xi, Bo Feng, Hao Wang, Shiyu Li, Chunhua Shen

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

Consistency of Compositional Generalization Across Multiple Levels.

Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, Yunde Jia

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Adversarial Sample Synthesis for Visual Question Answering.

Chuanhao Li, Chenchen Jing, Zhen Li, Yuwei Wu, Yunde Jia

ACM Trans. Multim. Comput. Commun. Appl., December, 2024

UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge.

Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang

CoRR, 2024

Visual-Guided Reasoning Path Generation for Visual Question Answering.

Xinyu Liu, Chenchen Jing, Mingliang Zhai, Yuwei Wu, Yunde Jia

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation.

Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Simple Image Segmentation Framework via In-Context Examples.

Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge.

Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

In-Context Compositional Generalization for Large Vision-Language Models.

Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Compositional Substitutivity of Visual Reasoning for Visual Question Answering.

Chuanhao Li, Zhen Li, Chenchen Jing, Yuwei Wu, Mingliang Zhai, Yunde Jia

Proceedings of the Computer Vision - ECCV 2024, 2024

Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning.

Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning.

Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Conditional Attributes for Compositional Zero-Shot Learning.

Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language.

Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding.

Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

A Self-supervised Strategy for the Robustness of VQA Models.

Jingyu Su, Chuanhao Li, Chenchen Jing, Yuwei Wu

Proceedings of the Intelligent Information Processing XI, 2022

Maintaining Reasoning Consistency in Compositional Visual Question Answering.

Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu, Qi Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing.

Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

Visual-Semantic Graph Matching for Visual Grounding.

Chenchen Jing, Yuwei Wu, Mingtao Pei, Yao Hu, Yunde Jia, Qi Wu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Overcoming Language Priors in VQA via Decomposed Linguistic Representations.

Chenchen Jing, Yuwei Wu, Xiaoxun Zhang, Yunde Jia, Qi Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Heterogeneous Hashing Network for Face Retrieval Across Image and Video Domains.

Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia

IEEE Trans. Multim., 2019

Unsupervised deep quantization for object instance search.

Wei Jiang, Yuwei Wu, Chenchen Jing, Tan Yu, Yunde Jia

Neurocomputing, 2019

2018

Deep CNN based binary hash video representations for face retrieval.

Zhen Dong, Chenchen Jing, Mingtao Pei, Yunde Jia

Pattern Recognit., 2018

2017

Fusing Appearance Features and Correlation Features for Face Video Retrieval.

Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017