Chenchen Jing - RankMe

50 papers A* 16Journal 28Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models. CoRR Linhao Zhong, Linyu Wu, Bozhen Fang, Tianjian Feng, Chenchen Jing, Wen Wang, Jiaheng Zhang, Hao Chen, Chunhua Shen
2026	A*	`conf`	Composition-Incremental Learning for Compositional Generalization. AAAI Zhen Li, Yuwei Wu, Chenchen Jing, Che Sun, Chuanhao Li, Yunde Jia
2026	J	`jnl`	Differentiate-and-Inject: Enhancing VLAs via Functional Differentiation Induced by In-Parameter Structural Reasoning. CoRR Jingyi Hou, Leyu Zhou, Chenchen Jing, Jinghan Yang, Xinbo Yu, Wei He
2026	J	`jnl`	Efficient Self-Evaluation for Diffusion Language Models via Sequence Regeneration. CoRR Linhao Zhong, Linyu Wu, Wen Wang, Yuling Xi, Chenchen Jing, Jiaheng Zhang, Hao Chen, Chunhua Shen
2026	J	`jnl`	Multi-Modal Primitive Retrieval for Compositional Zero-Shot Learning. Int. J. Comput. Vis. Chenchen Jing, Haozhe Zhang, Junbo Lu, Yang Liu, Hao Chen, Xiaoqin Zhang, Chunhua Shen
2025	J	`jnl`	Adaptive Model Ensemble for Continual Learning. CoRR Yuchuan Mao, Zhi Gao, Xiaomeng Fan, Yuwei Wu, Yunde Jia, Chenchen Jing
2025	J	`jnl`	CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. IEEE Trans. Neural Networks Learn. Syst. Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
2025	J	`jnl`	Composition-Incremental Learning for Compositional Generalization. CoRR Zhen Li, Yuwei Wu, Chenchen Jing, Che Sun, Chuanhao Li, Yunde Jia
2025	A*	`conf`	Consistency of Compositional Generalization Across Multiple Levels. AAAI Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, Yunde Jia
2025	—	`conf`	DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. NAACL (Long Papers) 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
2025	J	`jnl`	DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models. CoRR 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
2025	J	`jnl`	Dual-Modal Prototype Joint Learning for Compositional Zero-Shot Learning. CoRR Shiyu Zhang, Cheng Yan, Yang Liu, Chenchen Jing, Lei Zhou, Wenjun Wang
2025	J	`jnl`	Evolutionary Profiles for Protein Fitness Prediction. CoRR Jigang Fan, Xiaoran Jiao, Shengdong Lin, Zhanming Liang, Weian Mao, Chenchen Jing, Hao Cheng, Chunhua Shen
2025	J	`jnl`	Learning Dual-Stream Conditional Concepts in Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Peng Wang, Yanning Zhang, Chunhua Shen
2025	J	`jnl`	Learning by Imagining: Debiased Feature Augmentation for Compositional Zero-Shot Learning. CoRR Haozhe Zhang, Chenchen Jing, Mingyu Liu, Qingsheng Wang, Hao Chen
2025	J	`jnl`	MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents. CoRR 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
2025	A*	`conf`	PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training. ICLR Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen
2025	J	`jnl`	PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training. CoRR Cong Chen, Mingyu Liu, Chenchen Jing, Yizhou Zhou, Fengyun Rao, Hao Chen, Bo Zhang, Chunhua Shen
2025	J	`jnl`	Preserving Source Video Realism: High-Fidelity Face Swapping for Cinematic Quality. CoRR Zekai Luo, Zongze Du, Zhouhang Zhu, Hao Zhong, Muzhi Zhu, Wen Wang, Yuling Xi, Chenchen Jing, Hao Chen, Chunhua Shen
2025	A*	`conf`	Seeing the Unseen: Composing Outliers for Compositional Zero-Shot Learning. IJCAI Chenchen Jing, Mingyu Liu, Hao Chen, Yuling Xi, Xingyuan Bu, Dong Gong, Chunhua Shen
2025	J	`jnl`	Time Is a Feature: Exploiting Temporal Dynamics in Diffusion Language Models. CoRR Wen Wang, Bozhen Fang, Chenchen Jing, Yongliang Shen, Yangyi Shen, Qiuyu Wang, Hao Ouyang, Hao Chen, Chunhua Shen
2025	J	`jnl`	Unified Open-World Segmentation with Multi-Modal Prompts. CoRR Yang Liu, Yufei Yin, Chenchen Jing, Muzhi Zhu, Hao Chen, Yuling Xi, Bo Feng, Hao Wang, Shiyu Li, Chunhua Shen
2024	A*	`conf`	A Simple Image Segmentation Framework via In-Context Examples. NeurIPS Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen
2024	J	`jnl`	A Simple Image Segmentation Framework via In-Context Examples. CoRR Yang Liu, Chenchen Jing, Hengtao Li, Muzhi Zhu, Hao Chen, Xinlong Wang, Chunhua Shen
2024	J	`jnl`	Adversarial Sample Synthesis for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. Chuanhao Li, Chenchen Jing, Zhen Li, Yuwei Wu, Yunde Jia
2024	J	`jnl`	CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning. CoRR Yukun Li, Guansong Pang, Wei Suo, Chenchen Jing, Yuling Xi, Lingqiao Liu, Hao Chen, Guoqiang Liang, Peng Wang
2024	—	`conf`	Compositional Substitutivity of Visual Reasoning for Visual Question Answering. ECCV (48) Chuanhao Li, Zhen Li, Chenchen Jing, Yuwei Wu, Mingliang Zhai, Yunde Jia
2024	J	`jnl`	Consistency of Compositional Generalization across Multiple Levels. CoRR Chuanhao Li, Zhen Li, Chenchen Jing, Xiaomeng Fan, Wenbo Ye, Yuwei Wu, Yunde Jia
2024	A*	`conf`	In-Context Compositional Generalization for Large Vision-Language Models. EMNLP Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, Yunde Jia
2024	A*	`conf`	Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning. AAAI Chenchen Jing, Yukun Li, Hao Chen, Chunhua Shen
2024	A*	`conf`	SearchLVLMs: A Plug-and-Play Framework for Augmenting Large Vision-Language Models by Searching Up-to-Date Internet Knowledge. NeurIPS Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
2024	J	`jnl`	UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. CoRR Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, Kaipeng Zhang
2024	A*	`conf`	Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. NeurIPS Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen
2024	J	`jnl`	Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation. CoRR Muzhi Zhu, Yang Liu, Zekai Luo, Chenchen Jing, Hao Chen, Guangkai Xu, Xinlong Wang, Chunhua Shen
2024	—	`conf`	Visual-Guided Reasoning Path Generation for Visual Question Answering. PRCV (1) Xinyu Liu, Chenchen Jing, Mingliang Zhai, Yuwei Wu, Yunde Jia
2023	A*	`conf`	Exploring the Effect of Primitives for Compositional Generalization in Vision-and-Language. CVPR Chuanhao Li, Zhen Li, Chenchen Jing, Yunde Jia, Yuwei Wu
2023	A*	`conf`	Learning Conditional Attributes for Compositional Zero-Shot Learning. CVPR Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
2023	J	`jnl`	Learning Conditional Attributes for Compositional Zero-Shot Learning. CoRR Qingsheng Wang, Lingqiao Liu, Chenchen Jing, Hao Chen, Guoqiang Liang, Peng Wang, Chunhua Shen
2023	A*	`conf`	SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. ICCV Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen
2023	J	`jnl`	SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. CoRR Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen
2022	—	`conf`	A Self-supervised Strategy for the Robustness of VQA Models. IIP Jingyu Su, Chuanhao Li, Chenchen Jing, Yuwei Wu
2022	A*	`conf`	Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing. AAAI Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, Qi Wu
2022	A*	`conf`	Maintaining Reasoning Consistency in Compositional Visual Question Answering. CVPR Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu, Qi Wu
2022	—	`conf`	Synthesizing Counterfactual Samples for Overcoming Moment Biases in Temporal Video Grounding. PRCV (1) Mingliang Zhai, Chuanhao Li, Chenchen Jing, Yuwei Wu
2020	A*	`conf`	Overcoming Language Priors in VQA via Decomposed Linguistic Representations. AAAI Chenchen Jing, Yuwei Wu, Xiaoxun Zhang, Yunde Jia, Qi Wu
2020	A*	`conf`	Visual-Semantic Graph Matching for Visual Grounding. ACM Multimedia Chenchen Jing, Yuwei Wu, Mingtao Pei, Yao Hu, Yunde Jia, Qi Wu
2019	J	`jnl`	Heterogeneous Hashing Network for Face Retrieval Across Image and Video Domains. IEEE Trans. Multim. Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia
2019	J	`jnl`	Unsupervised deep quantization for object instance search. Neurocomputing Wei Jiang, Yuwei Wu, Chenchen Jing, Tan Yu, Yunde Jia
2018	J	`jnl`	Deep CNN based binary hash video representations for face retrieval. Pattern Recognit. Zhen Dong, Chenchen Jing, Mingtao Pei, Yunde Jia
2017	—	`conf`	Fusing Appearance Features and Correlation Features for Face Video Retrieval. PCM (2) Chenchen Jing, Zhen Dong, Mingtao Pei, Yunde Jia