Han Cai

According to our database, Han Cai authored at least 91 papers between 2006 and 2024.

Collaborative distances:

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

2024

An Efficient Coding Scheme for the AWGN Relay Network With Receiver-Transmitter Feedback.

Han Deng, Dengfeng Xia, Han Cai, Qifa Yan, Peng Xu, Bin Dai

IEEE Syst. J., September, 2024

Locally repairable codes with multiple repair sets based on packings of block size 4.

Xiaopan Han, Guojun Han, Han Cai, Linxin Yin

Cryptogr. Commun., May, 2024

Minimum Storage Partially Cooperative Regenerating Codes With Small Sub-Packetization.

Yajuan Liu, Yanyan Wang, Han Cai, Xiaohu Tang

IEEE Trans. Commun., January, 2024

Model Acceleration for Efficient Deep Learning Computing

Han Cai

PhD thesis, 2024

On singleton-type bound of locally repairable codes.

Xing Lin, Han Cai, Xiaohu Tang

Discret. Math., 2024

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training.

Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

CoRR, 2024

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer.

Haotian Tang, Yecheng Wu, Shang Yang, Enze Xie, Junsong Chen, Junyu Chen, Zhuoyang Zhang, Han Cai, Yao Lu, Song Han

CoRR, 2024

Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

Junyu Chen, Han Cai, Junsong Chen, Enze Xie, Shang Yang, Haotian Tang, Muyang Li, Yao Lu, Song Han

CoRR, 2024

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

CoRR, 2024

MDS Generalized Convertible Code.

Songping Ge, Han Cai, Xiaohu Tang

CoRR, 2024

Condition-Aware Neural Network for Controlled Image Generation.

Han Cai, Muyang Li, Zhuoyang Zhang, Qinsheng Zhang, Ming-Yu Liu, Song Han

CoRR, 2024

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.

Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Ming-Yu Liu, Kai Li, Song Han

CoRR, 2024

A Transformation of Repairing Reed-Solomon Codes from Rack-Aware Storage Model to Homogeneous Storage Model.

Yumeng Yang, Han Cai, Xiaohu Tang

CoRR, 2024

Robust Multi-Sensor Multi-Target Tracking Using Possibility Labeled Multi-Bernoulli Filter.

Han Cai, Chenbao Xue, Jeremie Houssineau, Zhirun Xue

CoRR, 2024

Construction of Locally Repairable Array Codes with Optimal Repair Bandwidth Under the Rack-Aware Storage Model.

Yumeng Yang, Han Cai, Xiaohu Tang

Proceedings of the IEEE International Symposium on Information Theory, 2024

Repairing Schemes for Tamo-Barg Codes.

Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang

Proceedings of the IEEE International Symposium on Information Theory, 2024

Decentralised multi-sensor target tracking with limited field of view via possibility theory.

Jeremie Houssineau, Chenbao Xue, Han Cai, Murat Uney, Emmanuel Delande

Proceedings of the 27th International Conference on Information Fusion, 2024

EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss.

Zhuoyang Zhang, Han Cai, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DistriFusion: Distributed Parallel Inference for High-Resolution Diffusion Models.

Muyang Li, Tianle Cai, Jiaxin Cao, Qinsheng Zhang, Han Cai, Junjie Bai, Yangqing Jia, Kai Li, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Condition-Aware Neural Network for Controlled Image Generation.

Han Cai, Muyang Li, Qinsheng Zhang, Ming-Yu Liu, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A New Cooperative Repair Scheme With k + 1 Helper Nodes for (n, k) Hadamard MSR Codes With Small Sub-Packetization.

Yajuan Liu, Han Cai, Xiaohu Tang

IEEE Trans. Inf. Theory, May, 2023

A Bound on the Minimal Field Size of LRCs, and Cyclic MR Codes That Attain It.

Han Cai, Moshe Schwartz

IEEE Trans. Inf. Theory, April, 2023

Possibility Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking Under Epistemic Uncertainty.

Han Cai, Jeremie Houssineau, Brandon A. Jones, Moriba K. Jah, Jingrui Zhang

IEEE Trans. Aerosp. Electron. Syst., April, 2023

EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction.

Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Cooperative Repair Scheme for MSR Codes with Two Erasures and Small Finite Field.

Yajuan Liu, Han Cai, Xiaohu Tang

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

2022

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han

ACM Trans. Design Autom. Electr. Syst., 2022

A Construction of Maximally Recoverable Codes With Order-Optimal Field Size.

Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang

IEEE Trans. Inf. Theory, 2022

Optimal Locally Repairable Codes: An Improved Bound and Constructions.

Han Cai, Cuiling Fan, Ying Miao, Moshe Schwartz, Xiaohu Tang

IEEE Trans. Inf. Theory, 2022

EfficientViT: Enhanced Linear Attention for High-Resolution Low-Computation Visual Recognition.

Han Cai, Chuang Gan, Song Han

CoRR, 2022

A class of minimum storage cooperative regenerating codes with low access property.

Xing Lin, Han Cai, Xiaohu Tang

Adv. Math. Commun., 2022

Network Augmentation for Tiny Deep Learning.

Han Cai, Chuang Gan, Ji Lin, Song Han

Proceedings of the Tenth International Conference on Learning Representations, 2022

Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation.

Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

On Optimal Locally Repairable Codes and Generalized Sector-Disk Codes.

Han Cai, Moshe Schwartz

IEEE Trans. Inf. Theory, 2021

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning.

Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han

CoRR, 2021

Memory-efficient Patch-based Inference for Tiny Deep Learning.

Ji Lin, Wei-Ming Chen, Han Cai, Chuang Gan, Song Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Improved Bound for Optimal Locally Repairable Codes.

Han Cai, Cuiling Fan, Ying Miao, Moshe Schwartz, Xiaohu Tang

Proceedings of the IEEE International Symposium on Information Theory, 2021

The 2020 Low-Power Computer Vision Challenge.

Xiao Hu, Ming-Ching Chang, Yuwei Chen, Rahul Sridhar, Zhenyu Hu, Yunhe Xue, Zhenyu Wu, Pengcheng Pi, Jiayi Shen, Jianchao Tan, Xiangru Lian, Ji Liu, Zhangyang Wang, Chia-Hsiang Liu, Yu-Shin Han, Yuan-Yao Sung, Yi Lee, Kai-Chiang Wu, Wei-Xiang Guo, Rick Lee, Shengwen Liang, Zerun Wang, Guiguang Ding, Gang Zhang, Teng Xi, Yubei Chen, Han Cai, Ligeng Zhu, Zhekai Zhang, Song Han, Seonghwan Jeong, YoungMin Kwon, Tianzhe Wang, Jeffery Pan

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

On Optimal Locally Repairable Codes With Multiple Disjoint Repair Sets.

Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang

IEEE Trans. Inf. Theory, 2020

On Optimal Locally Repairable Codes With Super-Linear Length.

Han Cai, Ying Miao, Moshe Schwartz, Xiaohu Tang

IEEE Trans. Inf. Theory, 2020

Network-Coding Solutions for Minimal Combination Networks and Their Sub-Networks.

Han Cai, Johan Chrisnata, Tuvi Etzion, Moshe Schwartz, Antonia Wachter-Zeh

IEEE Trans. Inf. Theory, 2020

AutoML for Architecting Efficient and Specialized Neural Networks.

Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Kuan Wang, Tianzhe Wang, Ligeng Zhu, Song Han

IEEE Micro, 2020

Tiny Transfer Learning: Towards Memory-Efficient On-Device Learning.

Han Cai, Chuang Gan, Ligeng Zhu, Song Han

CoRR, 2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Song Han

CoRR, 2020

TinyTL: Reduce Memory, Not Parameters for Efficient On-Device Learning.

Han Cai, Chuang Gan, Ligeng Zhu, Song Han

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Once-for-All: Train One Network and Specialize it for Efficient Deployment.

Han Cai, Chuang Gan, Tianzhe Wang, Zhekai Zhang, Song Han

Proceedings of the 8th International Conference on Learning Representations, 2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy.

Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin, Song Han

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

HAT: Hardware-Aware Transformers for Efficient Natural Language Processing.

Hanrui Wang, Zhanghao Wu, Zhijian Liu, Han Cai, Ligeng Zhu, Chuang Gan, Song Han

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Optimal Locally Repairable Systematic Codes Based on Packings.

Han Cai, Minquan Cheng, Cuiling Fan, Xiaohu Tang

IEEE Trans. Commun., 2019

Once for All: Train One Network and Specialize it for Efficient Deployment.

Han Cai, Chuang Gan, Song Han

CoRR, 2019

Design Automation for Efficient Deep Learning Computing.

Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin

CoRR, 2019

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation.

Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang

IEEE Access, 2019

Network Coding Solutions for the Combination Network and its Subgraphs.

Han Cai, Tuvi Etzion, Moshe Schwartz, Antonia Wachter-Zeh

Proceedings of the IEEE International Symposium on Information Theory, 2019

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware.

Han Cai, Ligeng Zhu, Song Han

Proceedings of the 7th International Conference on Learning Representations, 2019

On-Device Image Classification with Proxyless Neural Architecture Search and Quantization-Aware Fine-Tuning.

Han Cai, Tianzhe Wang, Zhanghao Wu, Kuan Wang, Ji Lin, Song Han

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Schmidt-Kalman Filter with Polynomial Chaos Expansion for State Estimation.

Yang Yang, Han Cai, Baichun Gong, Robert J. Norman

Proceedings of the 22th International Conference on Information Fusion, 2019

Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient.

Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improvement of Reflection Detection Success Rate of GNSS RO Measurements Using Artificial Neural Network.

Andong Hu, Suqin Wu, Xiaoming Wang, Yan Wang, Robert J. Norman, Changyong He, Han Cai, Kefei Zhang

IEEE Trans. Geosci. Remote. Sens., 2018

Path-Level Network Transformation for Efficient Architecture Search.

Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu

Proceedings of the 35th International Conference on Machine Learning, 2018

Activation Maximization Generative Adversarial Nets.

Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the 6th International Conference on Learning Representations, 2018

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.

Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Long Text Generation via Adversarial Training with Leaked Information.

Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Efficient Architecture Search by Network Transformation.

Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Zero-Difference Balanced Functions With New Parameters and Their Applications.

Han Cai, Zhengchun Zhou, Xiaohu Tang, Ying Miao

IEEE Trans. Inf. Theory, 2017

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence.

Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, Yong Yu

CoRR, 2017

Generative Adversarial Nets with Labeled Data by Activation Maximization.

Zhiming Zhou, Shu Rong, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

CoRR, 2017

Reinforcement Learning for Architecture Search by Network Transformation.

Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

CoRR, 2017

Real-Time Bidding by Reinforcement Learning in Display Advertising.

Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Volume Ranking and Sequential Selection in Programmatic Display Advertising.

Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Exploiting Double Opportunities for Latency-Constrained Content Propagation in Wireless Networks.

Han Cai, Irem Koprulu, Ness B. Shroff

IEEE/ACM Trans. Netw., 2016

A Combinatorial Construction for Strictly Optimal Frequency-Hopping Sequences.

Cuiling Fan, Han Cai, Xiaohu Tang

IEEE Trans. Inf. Theory, 2016

Strictly Optimal Frequency-Hopping Sequence Sets With Optimal Family Sizes.

Han Cai, Yang Yang, Zhengchun Zhou, Xiaohu Tang

IEEE Trans. Inf. Theory, 2016

Product-Based Neural Networks for User Response Prediction.

Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Constructions of Optimal 2-D Optical Orthogonal Codes via Generalized Cyclotomic Classes.

Han Cai, Hongbin Liang, Xiaohu Tang

IEEE Trans. Inf. Theory, 2015

2014

A New Construction of Frequency-Hopping Sequences With Optimal Partial Hamming Correlation.

Han Cai, Zhengchun Zhou, Yang Yang, Xiaohu Tang

IEEE Trans. Inf. Theory, 2014

Families of <i>p</i>-ary sequences with low correlation and large linear complexity.

Han Cai, Xiangyong Zeng, Lei Hu

J. Syst. Sci. Complex., 2014

2013

Optimal Frequency Hopping Sequences of Odd Length.

Xiangyong Zeng, Han Cai, Xiaohu Tang, Yang Yang

IEEE Trans. Inf. Theory, 2013

A New Construction of Zero-Difference Balanced Functions and Its Applications.

Han Cai, Xiangyong Zeng, Tor Helleseth, Xiaohu Tang, Yang Yang

IEEE Trans. Inf. Theory, 2013

New Optimal frequency Hopping sequence Sets from Balanced Nested difference Packings of Partition-Type.

Han Cai, Xiangyong Zeng, Xiaohu Tang, Lei Hu

Int. J. Found. Comput. Sci., 2013

Exploiting double opportunities for deadline based content propagation in wireless networks.

Han Cai, Irem Koprulu, Ness B. Shroff

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013

2012

A Class of Optimal Frequency Hopping Sequences with New Parameters.

Xiangyong Zeng, Han Cai, Xiaohu Tang, Yang Yang

IEEE Trans. Inf. Theory, 2012

2009

Multicast scheduling in cellular data networks.

Hyungsuk Won, Han Cai, Do Young Eun, Katherine Guo, Arun N. Netravali, Injong Rhee, Krishan K. Sabnani

IEEE Trans. Wirel. Commun., 2009

Crossing over the bounded domain: from exponential to power-law intermeeting time in mobile ad hoc networks.

Han Cai, Do Young Eun

IEEE/ACM Trans. Netw., 2009

Stochastic convex ordering for multiplicative decrease internet congestion control.

Han Cai, Do Young Eun, Sangtae Ha, Injong Rhee, Lisong Xu

Comput. Networks, 2009

Stochastic link-level dynamics in mobile ad-hoc networks: several interesting aspects.

Han Cai, Do Young Eun

Proceedings of the 2009 MobiHoc S³ workshop on MobiHoc S³, 2009

Aging rules: what does the past tell about the future in mobile ad-hoc networks?

Han Cai, Do Young Eun

Proceedings of the 10th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2009

2008

Toward stochastic anatomy of inter-meeting time distribution under general mobility models.

Han Cai, Do Young Eun

Proceedings of the 9th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, 2008

Invariance Property of Isotropic Random Walk Mobility Patterns in Mobile Ad-Hoc Networks.

Han Cai, Chul-Ho Lee, Do Young Eun

Proceedings of IEEE International Conference on Communications, 2008

Tuning Up the Performance of Constant-Time Distributed Scheduling Algorithms via Majorization.

Han Cai, Do Young Eun

Proceedings of IEEE International Conference on Communications, 2008

2007

Crossing over the bounded domain: from exponential to power-law inter-meeting time in manet.

Han Cai, Do Young Eun

Proceedings of the 13th Annual International Conference on Mobile Computing and Networking, 2007

Stochastic Ordering for Internet Congestion Control and its Applications.

Han Cai, Do Young Eun, Sangtae Ha, Injong Rhee, Lisong Xu

Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

2006

Stability of Network Congestion Control with Asynchronous Updates.

Han Cai, Do Young Eun

Proceedings of the 45th IEEE Conference on Decision and Control, 2006