Bin Shan - RankMe

23 papers A* 3C 1Journal 17Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	EvoPrune: Early-Stage Visual Token Pruning for Efficient MLLMs. CoRR Yuhao Chen, Bin Shan, Xin Ye, Cheng Chen
2026	A*	`conf`	MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement. AAAI Weitao Jia, Jinghui Lu, Haiyang Yu, Siqi Wang, Guozhi Tang, An-Lan Wang, Weijie Yin, Dingkang Yang, Yuxiang Nie, Bin Shan, Hao Feng, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang
2025	J	`jnl`	MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement. CoRR Weitao Jia, Jinghui Lu, Haiyang Yu, Siqi Wang, Guozhi Tang, An-Lan Wang, Weijie Yin, Dingkang Yang, Yuxiang Nie, Bin Shan, Hao Feng, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang
2025	J	`jnl`	OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning. CoRR Ling Fu, Biao Yang, Zhebin Kuang, Jiajun Song, Yuzhe Li, Linghao Zhu, Qidi Luo, Xinyu Wang, Hao Lu, Mingxin Huang, Zhang Li, Guozhi Tang, Bin Shan, Chunhui Lin, Qi Liu, Binghong Wu, Hao Feng, Hao Liu, Can Huang, Jingqun Tang, Wei Chen, Lianwen Jin, Yuliang Liu, Xiang Bai
2025	A*	`conf`	ParGo: Bridging Vision-Language with Partial and Global Views. AAAI An-Lan Wang, Bin Shan, Wei Shi, Kun-Yu Lin, Xiang Fei, Guozhi Tang, Lei Liao, Jingqun Tang, Can Huang, Wei-Shi Zheng
2025	J	`jnl`	Prolonged Reasoning Is Not All You Need: Certainty-Based Adaptive Routing for Efficient LLM/MLLM Reasoning. CoRR Jinghui Lu, Haiyang Yu, Siliang Xu, Shiwei Ran, Guozhi Tang, Siqi Wang, Bin Shan, Teng Fu, Hao Feng, Jingqun Tang, Han Wang, Can Huang
2025	J	`jnl`	VI-PINNs: Variance-involved physics-informed neural networks for fast and accurate prediction of partial differential equations. Neurocomputing Bin Shan, Ye Li, Sheng-Jun Huang
2024	A*	`conf`	Causality-enhanced Discreted Physics-informed Neural Networks for Predicting Evolutionary Equations. IJCAI Ye Li, Siqi Chen, Bin Shan, Sheng-Jun Huang
2024	J	`jnl`	MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark. CoRR Bin Shan, Xiang Fei, Wei Shi, An-Lan Wang, Guozhi Tang, Lei Liao, Jingqun Tang, Xiang Bai, Can Huang
2024	J	`jnl`	ParGo: Bridging Vision-Language with Partial and Global Views. CoRR An-Lan Wang, Bin Shan, Wei Shi, Kun-Yu Lin, Xiang Fei, Guozhi Tang, Lei Liao, Jingqun Tang, Can Huang, Wei-Shi Zheng
2023	J	`jnl`	Efficient Discrete Physics-informed Neural Networks for Addressing Evolutionary Partial Differential Equations. CoRR Siqi Chen, Bin Shan, Ye Li
2023	J	`jnl`	Fault-Tolerant SINS/Doppler Radar/Odometer Integrated Navigation Method Based on Two-Stage Fault Detection Structure. Entropy Bo Yang, Feng Liu, Liang Xue, Bin Shan
2023	J	`jnl`	Multi-view region proposal network predictive learning for tracking. Multim. Syst. Wen Guo, Dong Li, Bowen Liang, Bin Shan
2022	J	`jnl`	ERNIE-UniX2: A Unified Cross-lingual Cross-modal Framework for Understanding and Generation. CoRR Bin Shan, Yaqian Han, Weichong Yin, Shuohuan Wang, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
2022	J	`jnl`	ERNIE-ViL 2.0: Multi-view Contrastive Learning for Image-Text Pre-training. CoRR Bin Shan, Weichong Yin, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang
2022	J	`jnl`	Multi-cue multi-hypothesis tracking with re-identification for multi-object tracking. Multim. Syst. Wen Guo, Yuelong Jin, Bin Shan, Xinmiao Ding, Minghao Wang
2022	—	`conf`	Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations. CCIS Ye Li, Yiwen Pang, Bin Shan
2022	J	`jnl`	Physics-guided Data Augmentation for Learning the Solution Operator of Linear Differential Equations. CoRR Ye Li, Yiwen Pang, Bin Shan
2022	J	`jnl`	VI-PINNs: Variance-involved Physics-informed Neural Networks for Fast and Accurate Prediction of Partial Differential Equations. CoRR Bin Shan, Ye Li, Shengjun Huang
2017	C	`conf`	Unsupervised Bilingual Segmentation using MDL for Machine Translation. PACLIC Bin Shan, Hao Wang, Yves Lepage
2015	J	`jnl`	A fractional-step thermal lattice Boltzmann model for high Peclet number flow. Comput. Math. Appl. Lin Deng, Yun Zhang, Yanwei Wen, Bin Shan, Huamin Zhou
2015	J	`jnl`	Generalized Predictive Control of Temperature on an Atomic Layer Deposition Reactor. IEEE Trans. Control. Syst. Technol. Wenjie He, Hai-Tao Zhang, Zhiyong Chen, Bo Chu, Kun Cao, Bin Shan, Rong Chen
2014	—	`conf`	Topological Reconstruction Based on STL Model. HCC Chen Ping, Zhengyan Zhang, Dingfang Chen, Jiquan Hu, Bin Shan, Li Bo