Wang, Kevin

7 publications

NeurIPS 2025 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach

JMLR 2025 Deep Generative Models: Complexity, Dimensionality, and Approximation Kevin Wang, Hongqian Niu, Yixin Wang, Didong Li

CVPR 2025 FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang

AAAI 2024 GPT4MTS: Prompt-Based Large Language Model for Multimodal Time-Series Forecasting Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu

NeurIPS 2024 LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

NeurIPSW 2024 OnThePlanning Abilities of OpenAI’s O1 Models: Feasibility, Optimality, and Generalizability Kevin Wang, Junbo Li, Neel P. Bhatt, Yihan Xi, Qiang Liu, Ufuk Topcu, Zhangyang Wang

ICML 2023 Outline, Then Details: Syntactically Guided Coarse-to-Fine Code Generation Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang