Lin, Han

15 publications

NeurIPS 2025 Bifrost-1: Bridging Multimodal LLMs and Diffusion Models with Patch-Level CLIP Latents Han Lin, Jaemin Cho, Amir Zadeh, Chuan Li, Mohit Bansal

ICLR 2025 Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model Han Lin, Jaemin Cho, Abhay Zala, Mohit Bansal

ICLR 2025 VEDIT: Latent Prediction Architecture for Procedural Video Representation Learning Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha

NeurIPS 2024 Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers Krzysztof Choromanski, Arijit Sehanobish, Somnath Basu Roy Chowdhury, Han Lin, Avinava Dubey, Tamas Sarlos, Snigdha Chaturvedi

IJCAI 2024 MCM: Multi-Condition Motion Synthesis Framework Zeyu Ling, Bo Han, Yongkang Wong, Han Lin, Mohan S. Kankanhalli, Weidong Geng

ICML 2024 MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI Kaining Ying, Fanqing Meng, Jin Wang, Zhiqian Li, Han Lin, Yue Yang, Hao Zhang, Wenbo Zhang, Yuqi Lin, Shuo Liu, Jiayi Lei, Quanfeng Lu, Runjian Chen, Peng Xu, Renrui Zhang, Haozhe Zhang, Peng Gao, Yali Wang, Yu Qiao, Ping Luo, Kaipeng Zhang, Wenqi Shao

ICML 2023 Efficient Graph Field Integrators Meet Point Clouds Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller

CVPR 2023 Supervised Masked Knowledge Distillation for Few-Shot Transformers Han Lin, Guangxing Han, Jiawei Ma, Shiyuan Huang, Xudong Lin, Shih-Fu Chang

ICML 2022 From Block-Toeplitz Matrices to Differential Equations on Graphs: Towards a General Theory for Scalable Masked Transformers Krzysztof Choromanski, Han Lin, Haoxian Chen, Tianyi Zhang, Arijit Sehanobish, Valerii Likhosherstov, Jack Parker-Holder, Tamas Sarlos, Adrian Weller, Thomas Weingarten

ICLR 2022 Hybrid Random Features Krzysztof Marcin Choromanski, Han Lin, Haoxian Chen, Arijit Sehanobish, Yuanzhe Ma, Deepali Jain, Jake Varley, Andy Zeng, Michael S Ryoo, Valerii Likhosherstov, Dmitry Kalashnikov, Vikas Sindhwani, Adrian Weller

CVPRW 2021 Edge Guided Progressively Generative Image Outpainting Han Lin, Maurice Pagnucco, Yang Song

NeurIPS 2020 Demystifying Orthogonal Monte Carlo and Beyond Han Lin, Haoxian Chen, Krzysztof M Choromanski, Tianyi Zhang, Clement Laroche

AAAI 2008 Within-Problem Learning for Efficient Lower Bound Computation in Max-SAT Solving Han Lin, Kaile Su, Chu Min Li

AAAI 2007 A Modal Logic for Beliefs and Pro Attitudes Kaile Su, Abdul Sattar, Han Lin, Mark Reynolds

IJCAI 2007 Exploiting Inference Rules to Compute Lower Bounds for MAX-SAT Solving Han Lin, Kaile Su