Hi! I am Haikang Diao, a Ph.D. student at Peking University, advised by Prof. Xiyuan Tang.
My email: diaohaikang@stu.pku.edu.cn
Prior to joining PKU, I received the B.Eng. degree in electronic engineering from Fudan University, in 2019 and the M.S. degree in circuits and systems from Fudan University, in 2022. During my master, I was advised by Prof. Wei Chen.
My research interests include computing-in-memory, model compression, and acceleration.
News
- Aug 2024 Our recent work Approximate Digital CIM Macro, was accepted by JSSC 2024!
- Jan 2024 Our recent work One-shot FP CIM engine, was accepted by CICC 2024!
- Oct 2022 Our recent work with Prof. Liu of Tsinghua, Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro, was accepted by ISSCC 2023!!
- Sep 2022 Our recent work with colleagues during my internship at Huawei was accepted by NeurIPS 2022!
- Jul 2022 I joined PRIME research group as a Ph.D. candidate.
- Jun 2022 I received the M.S. degree in circuits and systems from Fudan University.
- May 2022 Our recent work was accepted by IEEE Internet of Things Journal!
- Jan 2021 Our recent work was accepted by IEEE Transactions on Biomedical Circuits and Systems!
- Jan 2021 Our recent work was accepted by IEEE International Symposium on Circuits and Systems (ISCAS) 2021!
Publications
Lightweight Neural Network for Sleep Posture Classification Using Pressure Sensing Mat at Various Sensor Densities
Shaonan Wu, Haikang Diao, Yi Feng, Yiyuan Zhang, Hongyu Chen, Yasemin M. Akay, Metin Akay, Chen Chen, Wei Chen
In IEEE Transactions on Neural Systems and Rehabilitation Engineering (IEEE TNSRE), 2024.
A Multiply-Less Approximate SRAM Compute-In-Memory Macro for Neural-Network Inference
Haikang Diao, Yifan He, Xuan Li, Chen Tang, Wenbin Jia, Jinshan Yue, Haoyang Luo, Jiahao Song, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu, Yuan Wang, Xiyuan Tang
In IEEE Journal of Solid-State Circuits (JSSC), 2024. (Top-1 Journal of the IC design)
A 28nm 128TFLOPS/W Computing-In-Memory Engine Supporting One-Shot Floating-Point NN Inference and On-Device Fine-Tuning for Edge AI
Haikang Diao, Haoyang Luo, Jiahao Song, Bocheng Xu, Runsheng Wang, Yuan Wang, Xiyuan Tang
In IEEE Custom Integrated Circuits Conference (CICC), Apr. 2024.
A 28-nm 38-to-102-TOPS/W 8-b Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro for Neural-Network Inference
Yifan He, Haikang Diao, Chen Tang, Wenbin Jia, Xiyuan Tang, Yuan Wang, Jinshan Yue, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu
In IEEE International Solid-State Circuits Conference (ISSCC), 2023. (Top-1 Conference of the IC design)
Redistribution of Weights and Activations for AdderNet Quantization
Ying Nie, Kai Han, Haikang Diao, Chuanjian Liu, Enhua Wu, Yunhe Wang
In Thirty-sixth Conference on Neural Information Processing Systems(NeurIPS), 2022
User-Tailored Hand Gesture Recognition System for Wearable Prosthesis and Armband Based on Surface Electromyogram
Long Meng, Xinyu Jiang, Xiangyu Liu, Jiahao Fan, Haoran Ren, Yao Guo, Haikang Diao, Zihao Wang, Chen Chen, Chenyun Dai, Wei Chen
In IEEE Transactions on Instrumentation and Measurement, 2022
Real-time and Cost-effective Smart Mat System based on Frequency Channel Selection for Sleep Posture Recognition in IoMT
Haikang Diao, Chen Chen, Xiangyu Liu, Amara Amara, Toshiyo Tamura, Benny Lo, Jiahao Fan, Long Meng, Wei Chen
In IEEE Internet of Things Journal, 2022
Edge-Computing System based on Smart Mat for Sleep Posture Recognition in IoMT
Haikang Diao, Chen Chen, Xiangyu Liu, Amara Amara, Wei Chen
In 10th EAI International Conference on Wireless Mobile Communication and Healthcare (EAI MobiHeath), 2021
Deep Residual Networks for Sleep Posture Recognition With Unobtrusive Miniature Scale Smart Mat System
Haikang Diao, Chen Chen, Wei Yuan, Amara Amara, Wei Chen
In IEEE Transactions on Biomedical Circuits and Systems, 2021
Unobtrusive Smart Mat System for Sleep Posture Recognition
Haikang Diao, Chen Chen, Wei Yuan, Amara Amara, Wei Chen
In IEEE International Symposium on Circuits and Systems (ISCAS), 2021
Honours
- Award for Scientific Research of Peking University, 2023
- Outstanding graduate of Fudan University, 2022
- National Third Prize of National Undergraduate Biomedical Engineering Innovation Design Competition, 2021.
- The First Prize Scholarship, 2020
- National Second Prize of China University Student Service Outsourcing Innovation and Entrepreneurship Competition(1%), 2019
- Top Ten Students of the School of Information Science and Technology, 2019
Internship experience
1. Huawei Noah’s Ark Lab（2021.07-2021.12）
- Using clustering grouping and weight truncation to achieve low bit-quantization for adderNet.
- Implemented Adder-MLP using adder operator instead of multiplier operator, and used knowledge distillation to improve the accuracy.
2. OPPO AI Research Institute（2021.03-2021.06）
- Quantization-aware training and post quantization based on MobileNet, EfficientNet
- Model quantification, deployment and performance testing based on model deployment platforms such as Qualcomm SNPE and Alibaba MNN