Dai Shi - RankMe

55 papers A* 3B 2C 1Misc 2Journal 40Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Diffusion denoised and physics-regularized inter-series model for long-horizon multivariate time-series forecasting. Inf. Fusion Hongwei Ma, Jiayu Fang, Dai Shi, Zhiqi Shao, Junbin Gao
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	J	`jnl`	Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations. CoRR Dai Shi, Luke Thompson, Andi Han, Peiyan Hu, Junbin Gao, José Miguel Hernández-Lobato
2025	Misc	`conf`	A Riemannian Approach to Ground Metric Learning for Optimal Transport. ICASSP Pratik Jawanpuria, Dai Shi, Bamdev Mishra, Junbin Gao
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`	ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics. CoRR Luke Thompson, Davy Guan, Dai Shi, Slade Matthews, Junbin Gao, Andi Han
2025	J	`jnl`	Commenotes: Synthesizing Organic Comments to Support Community-Based Fact-Checking. CoRR Shuning Zhang, Linzhi Wang, Dai Shi, Yuwei Chuai, Jingruo Chen, Yunyi Chen, Yifan Wang, Yating Wang, Xin Yi, Hewu Li
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`	Frameless Graph Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. Dai Shi, Zhiqi Shao, Junbin Gao, Zhiyong Wang, Yi Guo
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`	MAGI-1: Autoregressive Video Generation at Scale. CoRR Hansi Teng, Hongyu Jia, Lei Sun, Lingzhi Li, Maolin Li, Mingqiu Tang, Shuai Han, Tianning Zhang, W. Q. Zhang, Weifeng Luo, Xiaoyang Kang, Yuchen Sun, Yue Cao, Yunpeng Huang, Yutong Lin, Yuxin Fang, Zewei Tao, Zheng Zhang, Zhongshu Wang, Zixun Liu, Dai Shi, Guoli Su, Hanwen Sun, Hong Pan, Jie Wang, Jiexin Sheng, Min Cui, Min Hu, Ming Yan, Shucheng Yin, Siran Zhang, Tingting Liu, Xianping Yin, Xiaoyu Yang, Xin Song, Xuan Hu, Yankai Zhang, Yuqiao Li
2025	—	`conf`	Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. BIOSTEC (1) Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao
2025	J	`jnl`	Perspectives of nuclear medicine professionals on artificial intelligence and educational implications. Discov. Artif. Intell. Hongyan Yin, Dai Shi, Can Meng
2025	J	`jnl`	Quasi-framelets: robust graph neural networks via adaptive framelet convolution. Int. J. Mach. Learn. Cybern. Mengxi Yang, Dai Shi, Xuebin Zheng, Jie Yin, Junbin Gao
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	J	`jnl`	UFGTime: Mining Intertwined Dependencies in Multivariate Time Series via an Efficient Pure Graph Approach (Flavor: Foundations and Algorithms Papers). Proc. VLDB Endow. Ruikun Li, Dai Shi, Ye Xiao, Junbin Gao
2025	—	`conf`	When Accessibility Becomes a Trap: A User-Centric Characterization of Dark Patterns Arising from Screen Reader Users' Perceived Deception in Mobile Interfaces. CSCW Companion Dai Shi, Lin Tian, Jiaxun Sun, Tomomi Kawakami, Nuo Cheng, Shuchang Xu, Guanhong Liu
2025	A*	`conf`	When Graph Neural Networks Meet Dynamic Mode Decomposition. ICLR Dai Shi, Lequan Lin, Andi Han, Zhiyong Wang, Yi Guo, Junbin Gao
2024	J	`jnl`	A Riemannian Approach to Ground Metric Learning for Optimal Transport. CoRR Pratik Jawanpuria, Dai Shi, Bamdev Mishra, 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`	Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, 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`	Machine Learning-Based Prediction of Key Genes Correlated to the Subretinal Lesion Severity in a Mouse Model of Age-Related Macular Degeneration. CoRR Kuan Yan, Yue Zeng, Dai Shi, Ting Zhang, Dmytro Matsypura, Mark C. Gillies, Ling Zhu, Junbin Gao
2024	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, 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`	Students health physique information sharing in publicly collaborative services over edge-cloud networks. J. Cloud Comput. Ping Liu, Dai Shi, Bin Zang, Xiang Liu
2024	A*	`conf`	TransNeXt: Robust Foveal Visual Perception for Vision Transformers. CVPR Dai Shi
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	C	`conf`	A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao
2023	J	`jnl`	Bregman Graph Neural Network. CoRR Jiayu Zhai, Lequan Lin, Dai Shi, 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	B	`conf`	Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm. IJCNN Dai Shi, Andi Han, Yi Guo, Junbin Gao
2023	J	`jnl`	Frameless Graph Knowledge Distillation. CoRR Dai Shi, Zhiqi Shao, 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
2023	J	`jnl`	How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
2023	J	`jnl`	Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2023	J	`jnl`	TransNeXt: Robust Foveal Visual Perception for Vision Transformers. CoRR Dai Shi
2023	J	`jnl`	Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
2022	J	`jnl`	Generalized Laplacian Regularized Framelet GCNs. CoRR Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao
2022	J	`jnl`	Generalized energy and gradient flow via graph framelets. CoRR Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao
2021	J	`jnl`	A Discussion On the Validity of Manifold Learning. CoRR Dai Shi, Andi Han, Yi Guo, Junbin Gao
2021	J	`jnl`	Coupling matrix manifolds assisted optimization for optimal transport problems. Mach. Learn. Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2021	J	`jnl`	Fine-Grained and Context-Aware Behavioral Biometrics for Pattern Lock on Smartphones. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Dai Shi, Dan Tao, Jiangtao Wang, Muyan Yao, Zhibo Wang, Houjin Chen, Sumi Helal
2020	—	`conf`	Entropy based Security Rating Evaluation Scheme for Pattern Lock. ICCE-TW Xianzhe Dong, Xinyi He, Tianlin Liang, Dai Shi, Dan Tao
2020	—	`conf`	Sensor Fusion Based Implicit Authentication for Smartphones. CWSN Dai Shi, Dan Tao
2019	J	`jnl`	Coupling Matrix Manifolds and Their Applications in Optimal Transport. CoRR Dai Shi, Junbin Gao, Xia Hong, S. T. Boris Choy, Zhiyong Wang
2018	J	`jnl`	Active contours driven by edge entropy fitting energy for image segmentation. Signal Process. Lei Wang, Guangqiang Chen, Dai Shi, Yan Chang, Sixian Chan, Jiantao Pu, Xiaodong Yang
2018	—	`conf`	Assessment Of The Radiometric Accuracy In A Target Less Work Flow Using Pix4D Software. WHISPERS Manuel Cubero-Castan, Klaus Schneider-Zapp, Massimiliano Bellomo, Dai Shi, Martin Rehak, Christoph Strecha
2018	—	`conf`	Field Trials on Spectral Efficiency Improvement in Massive MIMO Systems. VTC Spring Jian Wang, Aixiang Jin, Dai Shi, Lei Wang, Liang Hu, Liang Gu, Anass Benjebbour
2017	J	`jnl`	Spectral Efficiency Improvement With 5G Technologies: Results From Field Tests. IEEE J. Sel. Areas Commun. Jian Wang, Aixiang Jin, Dai Shi, Lei Wang, Hui Shen, Dan Wu, Liang Hu, Liang Gu, Lei Lu, Yan Chen, Jun Wang, Yuya Saito, Anass Benjebbour, Yoshihisa Kishiyama
2010	—	`conf`	A Novel Retransmission Scheme for Video Services in Hybrid Wireline/Wireless Networks. VTC Spring Jinfang Zhang, Wenliang Liang, Jianjun Wu, Dai Shi