Yifan Hao

According to our database, Yifan Hao authored at least 46 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DASA: Distribution-Aware Sparse Attention for Accelerating Diffusion Transformer.

Tianyun Ma, Jiaming Guo, Di Huang, Xinkai Song, Qian Wang, Husheng Han, Pengwei Jin, Xiangtao Guan, Yifan Hao, Yuanbo Wen, Shuyao Cheng, Zidong Du, Rui Zhang, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., June, 2026

AGON: Automated Design Framework for Customizing Processors From ISA Documents.

Chongxiao Li, Di Huang, Pengwei Jin, Tianyun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Xing Hu, Qi Guo

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2026

LKV: End-to-End Learning of Head-wise Budgets and Token Selection for LLM KV Cache Eviction.

Enshuai Zhou, Yifan Hao, Chao Wang, Rui Zhang, Di Huang, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Yunji Chen

CoRR, May, 2026

DA-Mamba: Learning Domain-Aware State Space Model for Global-Local Alignment in Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Shaohui Peng, Yongwei Zhao, Ling Li

CoRR, March, 2026

Sycophancy in vision-language models: A systematic analysis and an inference-time mitigation framework.

Yunpu Zhao, Rui Zhang, Junbin Xiao, Changxin Ke, Ruibo Hou, Yifan Hao, Ling Li

Neurocomputing, 2026

Cambricon-CIM: Enabling Energy-Efficient and Error-Resilient Analog CIM Acceleration via Reformation of Coding Bases.

Hongrui Guo, Tianrui Ma, Zidong Du, Mo Zou, Yifan Hao, Yongwei Zhao, Rui Zhang, Wei Li, Xing Hu, Zhiwei Xu, Qi Guo, Tianshi Chen

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2026

Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates.

Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

VariPar: Variation-Aware Workload Partitioning in Chiplet-Based DNN Accelerators.

Ximing Liu, Yongwei Zhao, Mo Zou, Yang Liu, Yifan Hao, Xiaqing Li, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2025

SaaP: Rearchitect SoC-as-a-Processor to Orchestrate Hardware Heterogeneity.

Pengwei Jin, Zhe Fan, Yongwei Zhao, Zidong Du, Hongrui Guo, Ziyuan Nan, Yifan Hao, Chongxiao Li, Tianyun Ma, Zhenxing Zhang, Xiaqing Li, Wei Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., October, 2025

Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates.

Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen

CoRR, August, 2025

QiMeng: Fully Automated Hardware and Software Design for Processor Chip.

Rui Zhang, Yuanbo Wen, Shuyao Cheng, Di Huang, Shaohui Peng, Jiaming Guo, Pengwei Jin, Jiacheng Zhao, Tianrui Ma, Yaoyu Zhu, Yifan Hao, Yongwei Zhao, Shengwen Liang, Ying Wang, Xing Hu, Zidong Du, Huimin Cui, Ling Li, Qi Guo, Yunji Chen

CoRR, June, 2025

QiMeng-CPU-v2: Automated Superscalar Processor Design by Learning Data Dependencies.

Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

CoRR, May, 2025

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach.

Shouyang Dong, Yuanbo Wen, Jun Bi, Di Huang, Jiaming Guo, Jianxing Xu, Ruibai Xu, Xinkai Song, Yifan Hao, Xuehai Zhou, Tianshi Chen, Qi Guo, Yunji Chen

CoRR, May, 2025

Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation.

Yunpu Zhao, Rui Zhang, Junbin Xiao, Ruibo Hou, Jiaming Guo, Zihao Zhang, Yifan Hao, Yunji Chen

CoRR, April, 2025

QiMeng-Xpiler: Transcompiling Tensor Programs for Deep Learning Systems with a Neural-Symbolic Approach.

Shouyang Dong, Jun Bi, Di Huang, Jiaming Guo, Jianxing Xu, Ruibai Xu, Xinkai Song, Yifan Hao, Ling Li, Xuehai Zhou, Tianshi Chen, Qi Guo, Yunji Chen

Proceedings of the 19th USENIX Symposium on Operating Systems Design and Implementation, 2025

Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table.

Tianbo Liu, Xinkai Song, Zhifei Yue, Rui Wen, Xing Hu, Zhuoran Song, Yuanbo Wen, Yifan Hao, Wei Li, Zidong Du, Rui Zhang, Jiaming Guo, Di Huang, Shaohui Peng, Guangzhong Sun, Qi Guo, Tianshi Chen

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

Automated Superscalar Processor Design by Learning Data Dependencies.

Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

SEEN-DA: SEmantic ENtropy guided Domain-aware Attention for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Shaohui Peng, Yongwei Zhao, Chen Zhao, Yanjun Wu, Ling Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with <i>iTex</i> Tessellation.

Jianxing Xu, Yuanbo Wen, Zikang Liu, Ruibai Xu, Tingfeng Ruan, Jun Bi, Rui Zhang, Di Huang, Xinkai Song, Yifan Hao, Xing Hu, Zidong Du, Chongqing Zhao, Jiang Jie, Qi Guo

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Environmental Condition Aware Super-Resolution Acceleration Framework in Server-Client Hierarchies.

Zhuoran Song, Zhongkai Yu, Xinkai Song, Yifan Hao, Li Jiang, Naifeng Jing, Xiaoyao Liang

ACM Trans. Archit. Code Optim., December, 2024

FastTuning: Enabling Fast and Efficient Hyper-Parameter Tuning With Partitioning and Parallelism of Search Space.

Xiaqing Li, Qi Guo, Guangyan Zhang, Siwei Ye, Guanhua He, Yiheng Yao, Rui Zhang, Yifan Hao, Zidong Du, Weimin Zheng

IEEE Trans. Parallel Distributed Syst., July, 2024

Tyche: An Efficient and General Prefetcher for Indirect Memory Accesses.

Feng Xue, Chenji Han, Xinyu Li, Junliang Wu, Tingting Zhang, Tianyi Liu, Yifan Hao, Zidong Du, Qi Guo, Fuxin Zhang

ACM Trans. Archit. Code Optim., June, 2024

Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks.

Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., January, 2024

REACT: Remainder Adaptive Compensation for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Ling Li

IEEE Trans. Image Process., 2024

AGON: Automated Design Framework for Customizing Processors from ISA Documents.

Chongxiao Li, Di Huang, Pengwei Jin, Tianyun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Yanjun Wu, Chen Zhao, Xing Hu, Qi Guo

CoRR, 2024

Towards Analyzing and Mitigating Sycophancy in Large Vision-Language Models.

Yunpu Zhao, Rui Zhang, Junbin Xiao, Changxin Ke, Ruibo Hou, Yifan Hao, Qi Guo, Yunji Chen

CoRR, 2024

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification.

Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xishan Zhang, Rui Zhang, Yifan Hao, Ling Li, Zikang Tian, Mingju Gao, Yutai Li, Yiming Gan, Shuai Liang, Zihao Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen

CoRR, 2024

Assessing and Understanding Creativity in Large Language Models.

Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen

CoRR, 2024

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection.

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Yunji Chen, Ling Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM.

Zhongkai Yu, Shengwen Liang, Tianyun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

SRender: Boosting Neural Radiance Field Efficiency via Sensitivity-Aware Dynamic Precision Rendering.

Zhuoran Song, Houshu He, Fangxin Liu, Yifan Hao, Xinkai Song, Li Jiang, Xiaoyao Liang

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference.

Hongrui Guo, Mo Zou, Yifan Hao, Zidong Du, Erxiang Ren, Yang Liu, Yongwei Zhao, Tianrui Ma, Rui Zhang, Xing Hu, Fei Qiao, Zhiwei Xu, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization.

Yi Chen, Yongwei Zhao, Yifan Hao, Yuanbo Wen, Yuntao Dai, Xiaqing Li, Yang Liu, Rui Zhang, Mo Zou, Xinkai Song, Xing Hu, Zidong Du, Huaping Chen, Qi Guo, Tianshi Chen

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.

Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Automated CPU Design by Learning from Input-Output Examples.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.

Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, Tianyun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Emergent Communication for Numerical Concepts Generalization.

Enshuai Zhou, Yifan Hao, Rui Zhang, Yuxuan Guo, Zidong Du, Xishan Zhang, Xinkai Song, Chao Wang, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Hardware Acceleration for SLAM in Mobile Systems.

Zhe Fan, Yifan Hao, Tian Zhi, Qi Guo, Zidong Du

J. Comput. Sci. Technol., December, 2023

Chip design with machine learning: a survey from algorithm perspective.

Wenkai He, Xiaqing Li, Xinkai Song, Yifan Hao, Rui Zhang, Zidong Du, Yunji Chen

Sci. China Inf. Sci., November, 2023

Pushing the Limits of Machine Design: Automated CPU Design with AI.

Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Yunhao Tian, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Ling Li, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen

CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.

Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo

CoRR, 2023

Learning Domain-Aware Detection Head with Prompt Tuning.

Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emergent Communication for Rules Reasoning.

Yuxuan Guo, Yifan Hao, Rui Zhang, Enshuai Zhou, Zidong Du, Xishan Zhang, Xinkai Song, Yuanbo Wen, Yongwei Zhao, Xuehai Zhou, Jiaming Guo, Qi Yi, Shaohui Peng, Di Huang, Ruizhi Chen, Qi Guo, Yunji Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.

Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

BALTO: fast tensor program optimization with diversity-based active learning.

Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing.

Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022