Junyan Lin - RankMe

29 papers A* 3C 7Misc 1Journal 15Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compression Tells Intelligence: Visual Coding, Visual Token Technology, and the Unification. CoRR Xin Jin, Jinming Liu, Yuntao Wei, Junyan Lin, Zhicheng Wang, Jianguo Huang, Xudong Yang, Yanxiao Liu, Wenjun Zeng
2026	J	`jnl`	Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models. CoRR Junyan Lin, Junlong Tong, Hao Wu, Jialiang Zhang, Jinming Liu, Xin Jin, Xiaoyu Shen
2026	J	`jnl`	Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models. CoRR Jialiang Zhang, Junlong Tong, Junyan Lin, Hao Wu, Yirong Sun, Yunpu Ma, Xiaoyu Shen
2026	J	`jnl`	UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking. CoRR Hao Wu, Xudong Wang, Jialiang Zhang, Junlong Tong, Xinghao Chen, Junyan Lin, Yunpu Ma, Xiaoyu Shen
2025	J	`jnl`	Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification. CoRR Junyan Lin, Feng Gap, Lin Qi, Junyu Dong, Qian Du, Xinbo Gao
2025	J	`jnl`	Dynamic Cross-Modal Feature Interaction Network for Hyperspectral and LiDAR Data Classification. IEEE Trans. Geosci. Remote. Sens. Junyan Lin, Feng Gao, Lin Qi, Junyu Dong, Qian Du, Xinbo Gao
2025	A*	`conf`	Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices. CVPR Junyan Lin, Haoran Chen, Yue Fan, Yingqi Fan, Xin Jin, Hui Su, Jinlan Fu, Xiaoyu Shen
2025	J	`jnl`	Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices. CoRR Junyan Lin, Haoran Chen, Yue Fan, Yingqi Fan, Xin Jin, Hui Su, Jinlan Fu, Xiaoyu Shen
2025	A*	`conf`	Multimodal Language Models See Better When They Look Shallower. EMNLP Haoran Chen, Junyan Lin, Xinghao Chen, Yue Fan, Jianfeng Dong, Xin Jin, Hui Su, Jinlan Fu, Xiaoyu Shen
2025	J	`jnl`	Rethinking Visual Layer Selection in Multimodal LLMs. CoRR Haoran Chen, Junyan Lin, Xinhao Chen, Yue Fan, Xin Jin, Hui Su, Jianfeng Dong, Jinlan Fu, Xiaoyu Shen
2025	J	`jnl`	Revisiting MLLM Token Technology through the Lens of Classical Visual Coding. CoRR Jinming Liu, Junyan Lin, Yuntao Wei, Kele Shao, Keda Tao, Jianguo Huang, Xudong Yang, Zhibo Chen, Huan Wang, Xin Jin
2024	J	`jnl`	BO-SHAP-BLS: a novel machine learning framework for accurate forecasting of COVID-19 testing capabilities. Neural Comput. Appl. Choujun Zhan, Lingfeng Miao, Junyan Lin, Minghao Tan, Kim Fung Tsang, Tianyong Hao, Hu Min, Xuejiao Zhao
2024	C	`conf`	Boosting Spatial-Spectral Masked Auto-Encoder Through Mining Redundant Spectra for HSI-SAR/LiDAR Classification. IGARSS Junyan Lin, Xuepeng Jin, Feng Gao, Junyu Dong, Hui Yu
2024	—	`conf`	Hyperspectral Image Change Detection via Cross-Sample Slot Attention and Dual Gated Feed-Forward Network. PRCV (13) Luyao Cheng, Junyan Lin, Feng Gao
2024	J	`jnl`	Semantics Disentanglement and Composition for Versatile Codec toward both Human-eye Perception and Machine Vision Task. CoRR Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin
2024	C	`conf`	Sparse Focus Network for Multi-Source Remote Sensing Data Classification. IGARSS Xuepeng Jin, Junyan Lin, Feng Gao, Lin Qi, Yang Zhou
2024	C	`conf`	Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs. VCIP Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin
2024	J	`jnl`	Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs. CoRR Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin
2024	A*	`conf`	To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models. EMNLP Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen
2024	J	`jnl`	To Preserve or To Compress: An In-Depth Study of Connector Selection in Multimodal Large Language Models. CoRR Junyan Lin, Haoran Chen, Dawei Zhu, Xiaoyu Shen
2023	C	`conf`	Gated-Cross Aggregation Network for Hyperspectral and LiDAR Data Classification. IGARSS Xiaochen Shi, Junyan Lin, Yuan Rao, Yue Sun, Feng Gao
2023	C	`conf`	Hyperspectral and SAR Image Classification via Recursive Feature Interactive Fusion Network. IGARSS Liang Lv, Junyan Lin, Feng Gao, Lin Qi, Junyu Dong
2023	C	`conf`	Multi-Scale Transformer Network for Hyperspectral Image Denoising. IGARSS Shuai Hu, Yikun Hu, Junyan Lin, Feng Gao, Junyu Dong
2023	C	`conf`	Multiview Siamese Collaborative Network for Hyperspectral Image Unmixing. IGARSS Zimo Yang, Lin Qi, Feng Gao, Junyan Lin
2023	J	`jnl`	SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image Classification. CoRR Junyan Lin, Feng Gao, Xiaocheng Shi, Junyu Dong, Qian Du
2023	J	`jnl`	SS-MAE: Spatial-Spectral Masked Autoencoder for Multisource Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. Junyan Lin, Feng Gao, Xiaochen Shi, Junyu Dong, Qian Du
2022	—	`conf`	Ensemble Learning for Crowdfunding Dynamics: JingDong Crowdfunding Projects. NCAA (2) Hu Min, Kaihan Wu, Minghao Tan, Junyan Lin, Yufan Zheng, Choujun Zhan
2021	—	`conf`	Application and Challenges of Blockchain in Heterogeneous Identity Trust. BlockSys Zhaolei Zhang, Jian Xu, Guishan Dong, Junyan Lin
2021	Misc	`conf`	Detection Capability Prediction Based on Broad Learning System during the COVID-19 Pandemic. ISKE Junyan Lin, Minghao Tan, Yufan Zheng, Kaihan Wu, Choujun Zhan