Daniel Y. Fu - RankMe

46 papers A* 15A 2Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Chipmunk: Training-Free Acceleration of Diffusion Transformers with Dynamic Column-Sparse Deltas. CoRR Austin Silveria, Soham Govande, Daniel Y. Fu
2025	J	`jnl`	Exploring Diffusion Transformer Designs via Grafting. CoRR Keshigeyan Chandrasegaran, Michael Poli, Daniel Y. Fu, Dongjun Kim, Lea M. Hadzic, Manling Li, Agrim Gupta, Stefano Massaroli, Azalia Mirhoseini, Juan Carlos Niebles, Stefano Ermon, Li Fei-Fei
2025	A*	`conf`	HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. CVPR Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025	J	`jnl`	HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. CoRR Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher Ré, David W. Romero
2025	J	`jnl`	HipKittens: Fast and Furious AMD Kernels. CoRR William Hu, Drew Wadsworth, Sean Siddens, Stanley Winata, Daniel Y. Fu, Ryan Swann, Muhammad Osama, Christopher Ré, Simran Arora
2025	A*	`conf`	ThunderKittens: Simple, Fast, and Adorable Kernels. ICLR Benjamin Frederick Spector, Simran Arora, Aaryan Singhal, Arjun Parthasarathy, Daniel Y. Fu, Christopher Ré
2024	A*	`conf`	Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. ICML Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
2024	J	`jnl`	Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT. CoRR Jon Saad-Falcon, Daniel Y. Fu, Simran Arora, Neel Guha, Christopher Ré
2024	A*	`conf`	FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. ICLR Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
2024	J	`jnl`	Hydragen: High-Throughput LLM Inference with Shared Prefixes. CoRR Jordan Juravsky, Bradley C. A. Brown, Ryan Ehrlich, Daniel Y. Fu, Christopher Ré, Azalia Mirhoseini
2024	A*	`conf`	RedPajama: an Open Dataset for Training Large Language Models. NeurIPS Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	RedPajama: an Open Dataset for Training Large Language Models. CoRR Maurice Weber, Daniel Y. Fu, Quentin Anthony, Yonatan Oren, Shane Adams, Anton Alexandrov, Xiaozhong Lyu, Huu Nguyen, Xiaozhe Yao, Virginia Adams, Ben Athiwaratkun, Rahul Chalamala, Kezhen Chen, Max Ryabinin, Tri Dao, Percy Liang, Christopher Ré, Irina Rish, Ce Zhang
2024	J	`jnl`	ThunderKittens: Simple, Fast, and Adorable AI Kernels. CoRR Benjamin Spector, Simran Arora, Aaryan Singhal, Daniel Y. Fu, Christopher Ré
2023	J	`jnl`	FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores. CoRR Daniel Y. Fu, Hermann Kumbong, Eric Nguyen, Christopher Ré
2023	J	`jnl`	High-throughput Generative Inference of Large Language Models with a Single GPU. CoRR Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Daniel Y. Fu, Zhiqiang Xie, Beidi Chen, Clark W. Barrett, Joseph E. Gonzalez, Percy Liang, Christopher Ré, Ion Stoica, Ce Zhang
2023	A*	`conf`	Hungry Hungry Hippos: Towards Language Modeling with State Space Models. ICLR Daniel Y. Fu, Tri Dao, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
2023	A*	`conf`	Hyena Hierarchy: Towards Larger Convolutional Language Models. ICML Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
2023	J	`jnl`	Hyena Hierarchy: Towards Larger Convolutional Language Models. CoRR Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y. Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Ré
2023	A*	`conf`	Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. NeurIPS Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, David W. Romero, Aman Timalsina, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
2023	J	`jnl`	Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions. CoRR Stefano Massaroli, Michael Poli, Daniel Y. Fu, Hermann Kumbong, Rom N. Parnichkun, Aman Timalsina, David W. Romero, Quinn McIntyre, Beidi Chen, Atri Rudra, Ce Zhang, Christopher Ré, Stefano Ermon, Yoshua Bengio
2023	A*	`conf`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. NeurIPS Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Evan Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	J	`jnl`	Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture. CoRR Daniel Y. Fu, Simran Arora, Jessica Grogan, Isys Johnson, Sabri Eyuboglu, Armin W. Thomas, Benjamin Spector, Michael Poli, Atri Rudra, Christopher Ré
2023	A*	`conf`	Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
2023	J	`jnl`	Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré
2022	A*	`conf`	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. NeurIPS Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
2022	J	`jnl`	FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness. CoRR Tri Dao, Daniel Y. Fu, Stefano Ermon, Atri Rudra, Christopher Ré
2022	J	`jnl`	Hungry Hungry Hippos: Towards Language Modeling with State Space Models. CoRR Tri Dao, Daniel Y. Fu, Khaled Kamal Saab, Armin W. Thomas, Atri Rudra, Christopher Ré
2022	J	`jnl`	Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models. CoRR Trenton Chang, Daniel Y. Fu
2022	A*	`conf`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	J	`jnl`	Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré
2022	J	`jnl`	Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	A	`conf`	Shoring up the foundations: fusing model embeddings and weak supervision. UAI Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré
2022	—	`conf`	TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. ACL (Findings) Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
2022	J	`jnl`	TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval. CoRR Megan Leszczynski, Daniel Y. Fu, Mayee F. Chen, Christopher Ré
2021	A*	`conf`	Analysis of Faces in a Decade of US Cable TV News. KDD James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
2020	J	`jnl`	Analyzing Who and What Appears in a Decade of US Cable TV News. CoRR James Hong, Will Crichton, Haotian Zhang, Daniel Y. Fu, Jacob Ritchie, Jeremy Barenholtz, Ben Hannel, Xinwei Yao, Michaela Murray, Geraldine Moriba, Maneesh Agrawala, Kayvon Fatahalian
2020	A*	`conf`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. ICML Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Fast and Three-rious: Speeding Up Weak Supervision with Triplet Methods. CoRR Daniel Y. Fu, Mayee F. Chen, Frederic Sala, Sarah M. Hooper, Kayvon Fatahalian, Christopher Ré
2020	J	`jnl`	Let's Hope it Works! Inaccurate Supervision of Neural Networks with Incorrect Labels: Application to Epilepsy. CoRR Florian Dubost, Erin Hong, Daniel Y. Fu, Nandita Bhaskhar, Siyi Tang, Khaled Saab, Daniel L. Rubin, Jared Dunnmon, Christopher Lee-Messer
2020	J	`jnl`	Train and You'll Miss It: Interactive Model Iteration with Weak Supervision and Pre-Trained Embeddings. CoRR Mayee F. Chen, Daniel Y. Fu, Frederic Sala, Sen Wu, Ravi Teja Mullapudi, Fait Poms, Kayvon Fatahalian, Christopher Ré
2019	A*	`conf`	Multi-Resolution Weak Supervision for Sequential Data. NeurIPS Paroma Varma, Frederic Sala, Shiori Sagawa, Jason Alan Fries, Daniel Y. Fu, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	J	`jnl`	Multi-Resolution Weak Supervision for Sequential Data. CoRR Frederic Sala, Paroma Varma, Jason A. Fries, Daniel Y. Fu, Shiori Sagawa, Saelig Khattar, Ashwini Ramamoorthy, Ke Xiao, Kayvon Fatahalian, James Priest, Christopher Ré
2019	J	`jnl`	Rekall: Specifying Video Events using Compositions of Spatiotemporal Labels. CoRR Daniel Y. Fu, Will Crichton, James Hong, Xinwei Yao, Haotian Zhang, Anh Truong, Avanika Narayan, Maneesh Agrawala, Christopher Ré, Kayvon Fatahalian
2018	J	`jnl`	Automatic Parallelization of Sequential Programs. CoRR Peter Kraft, Amos Waterland, Daniel Y. Fu, Anitha Gollamudi, Shai Szulanski, Margo I. Seltzer
2018	A	`conf`	Influencing Flock Formation in Low-Density Settings. AAMAS Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz
2018	J	`jnl`	Influencing Flock Formation in Low-Density Settings. CoRR Daniel Y. Fu, Emily S. Wang, Peter M. Krafft, Barbara J. Grosz