Lequan Lin - RankMe

26 papers A* 3B 1Misc 2Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations. CoRR Dai Shi, Lequan Lin, Andi Han, Luke Thompson, José Miguel Hernández-Lobato, Zhiyong Wang, Junbin Gao
2026	A*	`conf`	OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. AAAI Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2025	J	`jnl`	ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking. CoRR Lequan Lin, Dai Shi, Andi Han, Feng Chen, Qiuzheng Chen, Jiawen Li, Zhaoyang Li, Jiyuan Li, Zhenbang Sun, Junbin Gao
2025	J	`jnl`	Design your own universe: a physics-informed agnostic method for enhancing graph neural networks. Int. J. Mach. Learn. Cybern. Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
2025	A*	`conf`	Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. ICLR Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
2025	J	`jnl`	Graph Pseudotime Analysis and Neural Stochastic Differential Equations for Analyzing Retinal Degeneration Dynamics and Beyond. CoRR Dai Shi, Kuan Yan, Lequan Lin, Yue Zeng, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao
2025	J	`jnl`	OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs. CoRR Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2025	B	`conf`	SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. IJCNN Lequan Lin, Dai Shi, Andi Han, Junbin Gao
2025	A*	`conf`	When Graph Neural Networks Meet Dynamic Mode Decomposition. ICLR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2025	J	`jnl`	ZipR1: Reinforcing Token Sparsity in MLLMs. CoRR Feng Chen, Yefei He, Lequan Lin, Jing Liu, Bohan Zhuang, Qi Wu
2024	J	`jnl`	A Simple Yet Effective Framelet-Based Graph Neural Network for Directed Graphs. IEEE Trans. Artif. Intell. Chunya Zou, Andi Han, Lequan Lin, Ming Li, Junbin Gao
2024	Misc	`conf`	Bregman Graph Neural Network. ICASSP Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
2024	J	`jnl`	Design Your Own Universe: A Physics-Informed Agnostic Method for Enhancing Graph Neural Networks. CoRR Dai Shi, Andi Han, Lequan Lin, Yi Guo, Zhiyong Wang, Junbin Gao
2024	J	`jnl`	Diffusing to the Top: Boost Graph Neural Networks with Minimal Hyperparameter Tuning. CoRR Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
2024	J	`jnl`	Diffusion models for time-series applications: a survey. Frontiers Inf. Technol. Electron. Eng. Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
2024	J	`jnl`	From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. Trans. Mach. Learn. Res. Andi Han, Dai Shi, Lequan Lin, Junbin Gao
2024	J	`jnl`	SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting. CoRR Lequan Lin, Dai Shi, Andi Han, Junbin Gao
2024	J	`jnl`	Unleash Graph Neural Networks from Heavy Tuning. CoRR Lequan Lin, Dai Shi, Andi Han, Zhiyong Wang, Junbin Gao
2024	J	`jnl`	When Graph Neural Networks Meet Dynamic Mode Decomposition. CoRR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2023	Misc	`conf`	A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. ICASSP Lequan Lin, Junbin Gao
2023	J	`jnl`	Bregman Graph Neural Network. CoRR Jiayu Zhai, Lequan Lin, Dai Shi, Junbin Gao
2023	J	`jnl`	Diffusion Models for Time Series Applications: A Survey. CoRR Lequan Lin, Zhengkun Li, Ruikun Li, Xuliang Li, Junbin Gao
2023	J	`jnl`	Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges. CoRR Dai Shi, Andi Han, Lequan Lin, Yi Guo, Junbin Gao
2023	J	`jnl`	From Continuous Dynamics to Graph Neural Networks: Neural Diffusion and Beyond. CoRR Andi Han, Dai Shi, Lequan Lin, Junbin Gao
2022	J	`jnl`	A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs. CoRR Lequan Lin, Junbin Gao
2022	J	`jnl`	A Simple Yet Effective SVD-GCN for Directed Graphs. CoRR Chunya Zou, Andi Han, Lequan Lin, Junbin Gao