Yaohui Cai - RankMe

23 papers A* 3A 3Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GauS: Differentiable Scheduling Optimization via Gaussian Reparameterization. CoRR Yaohui Cai, Vesal Bakhtazad, Cunxi Yu, Zhiru Zhang
2025	J	`jnl`	HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization. CoRR Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla P. Gomes, Zhiru Zhang
2025	J	`jnl`	Identification of standing dead trees in Robinia pseudoacacia plantations across China's Loess Plateau using multiple deep learning models. Int. J. Appl. Earth Obs. Geoinformation Li Zhang, Xiaodong Gao, Shuyi Zhou, Zhibo Zhang, Tianjie Zhao, Yaohui Cai, Xining Zhao
2025	J	`jnl`	Nitrogen nutritional diagnosis of summer maize (Zea mays L.) based on a hyperspectral data collaborative approach-evaluation of the estimation potential of three-dimensional spectral indices. Comput. Electron. Agric. Zijun Tang, Yaohui Cai, Youzhen Xiang, Junsheng Lu, Tao Sun, Hongzhao Shi, Xiaochi Liu, Xueyan Zhang, Zhijun Li, Fucang Zhang
2025	—	`conf`	SmoothE: Differentiable E-Graph Extraction. ASPLOS (1) Yaohui Cai, Kaixin Yang, Chenhui Deng, Cunxi Yu, Zhiru Zhang
2025	J	`jnl`	Understanding the Potential of FPGA-based Spatial Acceleration for Large Language Model Inference. ACM Trans. Reconfigurable Technol. Syst. Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2025	A	`conf`	e-boost: Boosted E-Graph Extraction with Adaptive Heuristics and Exact Solving. ICCAD Jiaqi Yin, Zhan Song, Chen Chen, Yaohui Cai, Zhiru Zhang, Cunxi Yu
2025	J	`jnl`	e-boost: Boosted E-Graph Extraction with Adaptive Heuristics and Exact Solving. CoRR Jiaqi Yin, Zhan Song, Chen Chen, Yaohui Cai, Zhiru Zhang, Cunxi Yu
2024	A	`conf`	A Comprehensive Evaluation of FPGA-Based Spatial Acceleration of LLMs. FPGA Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2024	J	`jnl`	Trainable Fixed-Point Quantization for Deep Learning Acceleration on FPGAs. CoRR Dingyi Dai, Yichi Zhang, Jiahao Zhang, Zhanqiu Hu, Yaohui Cai, Qi Sun, Zhiru Zhang
2023	A*	`conf`	QuIP: 2-Bit Quantization of Large Language Models With Guarantees. NeurIPS Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher De Sa
2023	J	`jnl`	QuIP: 2-Bit Quantization of Large Language Models With Guarantees. CoRR Jerry Chee, Yaohui Cai, Volodymyr Kuleshov, Christopher De Sa
2023	J	`jnl`	Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference. CoRR Hongzheng Chen, Jiahao Zhang, Yixiao Du, Shaojie Xiang, Zichao Yue, Niansong Zhang, Yaohui Cai, Zhiru Zhang
2022	J	`jnl`	Structured Pruning is All You Need for Pruning CNNs at Initialization. CoRR Yaohui Cai, Weizhe Hua, Hongzheng Chen, G. Edward Suh, Christopher De Sa, Zhiru Zhang
2021	A	`conf`	CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs. FPGA Qijing Huang, Dequan Wang, Zhen Dong, Yizhao Gao, Yaohui Cai, Tian Li, Bichen Wu, Kurt Keutzer, John Wawrzynek
2021	A*	`conf`	SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. ICML Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
2021	J	`jnl`	SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation. CoRR Wuxinlin Cheng, Chenhui Deng, Zhiqiang Zhao, Yaohui Cai, Zhiru Zhang, Zhuo Feng
2020	J	`jnl`	Algorithm-hardware Co-design for Deformable Convolution. CoRR Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
2020	J	`jnl`	CoDeNet: Algorithm-hardware Co-design for Deformable Convolution. CoRR Zhen Dong, Dequan Wang, Qijing Huang, Yizhao Gao, Yaohui Cai, Bichen Wu, Kurt Keutzer, John Wawrzynek
2020	A*	`conf`	ZeroQ: A Novel Zero Shot Quantization Framework. CVPR Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
2020	J	`jnl`	ZeroQ: A Novel Zero Shot Quantization Framework. CoRR Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney, Kurt Keutzer
2019	—	`conf`	Algorithm-hardware Co-design for Deformable Convolution. EMC2@NeurIPS Qijing Huang, Dequan Wang, Yizhao Gao, Yaohui Cai, Zhen Dong, Bichen Wu, Kurt Keutzer, John Wawrzynek
2019	J	`jnl`	HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks. CoRR Zhen Dong, Zhewei Yao, Yaohui Cai, Daiyaan Arfeen, Amir Gholami, Michael W. Mahoney, Kurt Keutzer