Haicheng Wu - RankMe

17 papers A* 3A 1B 1Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AVO: Agentic Variation Operators for Autonomous Evolutionary Search. CoRR Terry Chen, Zhifan Ye, Bing Xu, Zihao Ye, Timmy Liu, Ali Hassani, Tianqi Chen, Andrew Kerr, Haicheng Wu, Yang Xu, Yu-Jung Chen, Hanfeng Chen, Aditya Kane, Ronny Krashinsky, Ming-Yu Liu, Vinod Grover, Luis Ceze, Roger A. Bringmann, John Tran, Wei Liu, Fung Xie, Michael Lightstone, Humphrey Shi
2026	J	`jnl`	VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents. CoRR Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-Mei Hwu, Roger A. Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi
2025	J	`jnl`	Generalized Neighborhood Attention: Multi-dimensional Sparse Attention at the Speed of Light. CoRR Ali Hassani, Fengzhe Zhou, Aditya Kane, Jiannan Huang, Chieh-Yun Chen, Min Shi, Steven Walton, Markus Hoehnerbach, Vijay Thakkar, Michael Isaev, Qinsheng Zhang, Bing Xu, Haicheng Wu, Wen-Mei Hwu, Ming-Yu Liu, Humphrey Shi
2024	—	`conf`	EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. ASPLOS (3) Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie
2016	—	`—`	Acceleration and execution of relational queries using general purpose graphics processing unit (GPGPU). Haicheng Wu
2016	—	`conf`	General-purpose join algorithms for large graph triangle listing on heterogeneous systems. GPGPU@PPoPP Daniel Zinn, Haicheng Wu, Jin Wang, Molham Aref, Sudhakar Yalamanchili
2016	J	`jnl`	Relational Learning with GPUs: Accelerating Rule Coverage. Int. J. Parallel Program. Carlos Alberto Martinez-Angeles, Haicheng Wu, Inês Dutra, Vítor Santos Costa, Jorge Buenabad-Chávez
2014	—	`conf`	Multipredicate Join Algorithms for Accelerating Relational Graph Processing on GPUs. ADMS@VLDB Haicheng Wu, Daniel Zinn, Molham Aref, Sudhakar Yalamanchili
2014	A	`conf`	Red Fox: An Execution Environment for Relational Query Processing on GPUs. CGO Haicheng Wu, Gregory F. Diamos, Tim Sheard, Molham Aref, Sean Baxter, Michael Garland, Sudhakar Yalamanchili
2013	—	`conf`	Accelerating simulation of agent-based models on heterogeneous architectures. GPGPU@ASPLOS Jin Wang, Norman Rubin, Haicheng Wu, Sudhakar Yalamanchili
2013	B	`conf`	Relational algorithms for multi-bulk-synchronous processors. PPoPP Gregory Frederick Diamos, Haicheng Wu, Jin Wang, Ashwin Sanjay Lele, Sudhakar Yalamanchili
2012	J	`jnl`	Characterization and transformation of unstructured control flow in bulk synchronous GPU applications. Int. J. High Perform. Comput. Appl. Haicheng Wu, Gregory F. Diamos, Jin Wang, Si Li, Sudhakar Yalamanchili
2012	A*	`conf`	Kernel Weaver: Automatically Fusing Database Primitives for Efficient GPU Computation. MICRO Haicheng Wu, Gregory Frederick Diamos, Srihari Cadambi, Sudhakar Yalamanchili
2012	—	`conf`	Optimizing Data Warehousing Applications for GPUs Using Kernel Fusion/Fission. IPDPS Workshops Haicheng Wu, Gregory F. Diamos, Jin Wang, Srihari Cadambi, Sudhakar Yalamanchili, Srimat T. Chakradhar
2012	—	`conf`	Satisfying Data-Intensive Queries Using GPU Clusters. SC Companion Jeffrey S. Young, Haicheng Wu, Sudhakar Yalamanchili
2011	A*	`conf`	SIMD re-convergence at thread frontiers. MICRO Gregory Frederick Diamos, Benjamin Ashbaugh, Subramaniam Maiyuran, Andrew Kerr, Haicheng Wu, Sudhakar Yalamanchili
2010	A*	`conf`	Thread tailor: dynamically weaving threads together for efficient, adaptive parallel applications. ISCA Janghaeng Lee, Haicheng Wu, Madhumitha Ravichandran, Nathan Clark