Dong Chen - RankMe

22 papers A* 6B 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Collaborative Small and Large Models for Crowd Simulation With Incomplete Trajectory Data. IEEE Trans. Vis. Comput. Graph. Zheng Wang, Chang Li, Hua Wang, Dong Chen, Shuo He, Yingcai Wu, Mingliang Xu
2026	J	`jnl`	Improving large models with small models: Lower costs and better performance. Neural Networks Dong Chen, Fei Gao, Shuo Zhang, Yueting Zhuang, Siliang Tang, Qidong Liu, Hua Wang, Xin Yang, Mingliang Xu
2025	J	`jnl`	Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments. CoRR Dong Chen, Zhengqing Hu, Shixing Zhao, Yibo Guo
2025	J	`jnl`	FADngs: Federated Learning for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. Boyu Dong, Dong Chen, Yu Wu, Siliang Tang, Yueting Zhuang
2025	J	`jnl`	FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting. CoRR Pengpeng Ouyang, Dong Chen, Tong Yang, Shuo Feng, Zhao Jin, Mingliang Xu
2025	J	`jnl`	GMFVAD: Using Grained Multi-modal Feature to Improve Video Anomaly Detection. CoRR Guangyu Dai, Dong Chen, Siliang Tang, Yueting Zhuang
2025	J	`jnl`	Improving Vision Anomaly Detection With the Guidance of Language Modality. IEEE Trans. Multim. Dong Chen, Kaihang Pan, Guangyu Dai, Guoming Wang, Yueting Zhuang, Siliang Tang, Mingliang Xu
2025	J	`jnl`	KKA: Improving Vision Anomaly Detection through Anomaly-related Knowledge from Large Language Models. CoRR Dong Chen, Zhengqing Hu, Peiguang Fan, Yueting Zhuang, Yafei Li, Qidong Liu, Xiaoheng Jiang, Mingliang Xu
2025	B	`conf`	LLAUS: A High-Quality Instruction-Tuned Large Vision Language Assistant for UltraSound. ICMR Junhao Guo, XueFeng Shan, Guoming Wang, Dong Chen, Rongxing Lu, Siliang Tang
2025	A*	`conf`	Logic Distillation: Learning from Code Function by Function for Decision-making Tasks. IJCAI Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu
2025	A*	`conf`	MIRAGE25: ACM MM25 Multimodal Interleaved Reasoning and Generation Challenge. ACM Multimedia Dong Chen, Fei Gao, Zhengqing Hu, Xiaojun Chang
2025	—	`conf`	MM-CARP: Multimodal Model with Cross-Modal Retrieval-Augmented and Visual Region Perception. MMM (2) Junhao Guo, Chenhan Fu, Guoming Wang, Rongxing Lu, Dong Chen, Siliang Tang
2025	J	`jnl`	Semantic Encryption: Secure and Effective Interaction with Cloud-based Large Language Models via Semantic Transformation. CoRR Dong Chen, Tong Yang, Feipeng Zhai, Pengpeng Ouyang, Qidong Liu, Yafei Li, Chong Fu, Mingliang Xu
2025	A*	`conf`	Wavelet and Prototype Augmented Query-based Transformer for Pixel-level Surface Defect Detection. CVPR Feng Yan, Xiaoheng Jiang, Yang Lu, Jiale Cao, Dong Chen, Mingliang Xu
2024	A*	`conf`	Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance. AAAI Dong Chen, Yueting Zhuang, Shuo Zhang, Jinfeng Liu, Su Dong, Siliang Tang
2024	J	`jnl`	Improving Large Models with Small models: Lower Costs and Better Performance. CoRR Dong Chen, Shuo Zhang, Yueting Zhuang, Siliang Tang, Qidong Liu, Hua Wang, Mingliang Xu
2024	J	`jnl`	Logic Distillation: Learning from Code Function by Function for Planning and Decision-making. CoRR Dong Chen, Shilin Zhang, Fei Gao, Yueting Zhuang, Siliang Tang, Qidong Liu, Mingliang Xu
2023	J	`jnl`	Cross-Modal Data Augmentation for Tasks of Different Modalities. IEEE Trans. Multim. Dong Chen, Yueting Zhuang, Zijin Shen, Carl Yang, Guoming Wang, Siliang Tang, Yi Yang
2023	A*	`conf`	FedAA: Using Non-sensitive Modalities to Improve Federated Learning while Preserving Image Privacy. ACM Multimedia Dong Chen, Siliang Tang, Zijin Shen, Guoming Wang, Jun Xiao, Yueting Zhuang, Carl Yang
2023	J	`jnl`	Improving Vision Anomaly Detection with the Guidance of Language Modality. CoRR Dong Chen, Kaihang Pan, Guoming Wang, Yueting Zhuang, Siliang Tang
2022	A*	`conf`	Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. ICML Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang
2022	J	`jnl`	Robust Meta-learning with Sampling Noise and Label Noise via Eigen-Reptile. CoRR Dong Chen, Lingfei Wu, Siliang Tang, Xiao Yun, Bo Long, Yueting Zhuang