Hi! I am Haikang Diao, a final year Ph.D. student at Peking University, advised by Prof. Xiyuan Tang. My email: diaohaikang@stu.pku.edu.cn
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.
In addition, I am a reviewer for JSSC, SSCL, TCASAI, TNNSRE, and ISCAS.
News
- Oct 2025 Our recent work Adder-DCIM, was accepted by ICCAD 2025!
- Dec 2024 Our recent work One-shot FP CIM Engine, was accepted by JSSC 2025!
- Nov 2024 Our recent work Digital CIM Compiler, was accepted by DATE 2025!
- 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!
First/Co-first Author Publications
Adder-DCIM: A Parallel Bit-Flexible Digital CIM Joint Model Compression Framework for AdderNet Inference
Haikang Diao, Chuyue Tang, Bocheng Xu, Haoyang Luo, Meng Li, Yuan Wang, Xiyuan Tang
In The 2025 IEEE/ACM International Conference on Computer-Aided Design (ICCAD)
A 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 Journal of Solid-State Circuits (JSSC), 2025. (Top-1 Journal of the IC design)
SEGA-DCIM: Design Space Exploration-Guided Automatic Digital CIM Compiler with Multiple Precision Support
Haikang Diao#, Haoyi Zhang#, Jiahao Song, Haoyang Luo, Yibo Lin, Runsheng Wang, Yuan Wang and Xiyuan Tang
In Design, Automation and Test in Europe Conference (DATE), March. 2025.
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.
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
- Outstanding Graduate of Beijing (Top 5%), 2026
- Outstanding Graduate of Peking University (Top 15%), 2026
- National Scholarship (Top 5%), 2025
- Dean’s Scholarship(Outstanding Award) (Top 5%), 2025
- Award for Scientific Research of Peking University, 2023,2024
- Outstanding graduate of Fudan University, 2022
- 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. Witmem Architecture Department（2025.05-2026.02）
- Analog computing-in-memory architecture design and design space exploration.
- Hardware & system modeling and analysis.
2. 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.
3. 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