Workshop on IC Advances in China (ICAC) 2024

March 19-22, 2024

Shanghai, China

Welcome to Workshop on IC Advances in China (ICAC) 2024

华人芯片设计技术研讨会 2024

The goal of the ICAC Workshop is to build a platform for the academia and industry people in China to have more open technical discussions, and to generate possible collaborations, and to brainstorm new ideas and directions. Therefore, we are gathering the top Chinese IC design scholars/engineers who published ISSCC and/or JSSC in the past two years, and try to attract more attendees from the IC industry.

We hope the workshop speakers and audiences produce chemical reactions, as well as electrical resonances as our logo shows. To this end, language should not be a problem. This workshop uses both Chinese and English. This workshop does not publish papers, and the oral speakers are by invitation only.

SPEAKERS

In Alphabetical Order of Last Name...

Chi-Hang Chan, University of Macau

Yong Chen, University of Macau

Zhiyuan Chen, Fudan University

Lin Cheng, University of Science and Technology of China

Wei Deng, Tsinghua University

Chunmeng Dou, The Institute of Microelectronics (IME) of the Chinese Academy of Sciences (CAS)

Yuan Du, Nanjing University

Chao Fan, Xi'an Jiaotong University

Guangyin Feng, South China University Of Technology

Hao Gao, Southeast University

Yuan Gao, Southern University of Science and Technology

Jianping Guo, Sun Yat-sen University

Mingqiang Guo, University of Macau

Yanshu Guo, Nanyang Technological University

Yuekang Guo, Shanghai Jiao Tong University

Wei Hong, Southeast University (Keynote)

Zhiliang Hong, Fudan University

Sanming Hu, Southeast University

Mo Huang, University of Macau

Haikun Jia, Tsinghua University

Wening Jiang, Fudan University

Yang Jiang, University of Macau

Junmin Jiang, Southern University of Science and Technology

Hailong Jiao, Peking University

Lu Jie, Tsinghua University

Chi-Seng Lam, University of Macau

Man-Kay Law, University of Macau

Ka-Meng Lei, University of Macau

Hongge Li, Beihang University

Lianming Li, Southeast University

Wei Li, Fudan University

Xianbo Li, Sun Yat-sen University

Xueqing Li, Tsinghua University

Leibo Liu, Tsinghua University

Liyuan Liu, Institute of Semiconductors, CAS

Maliang Liu, Xidian University

Ming Liu, Fudan University (Keynote)

Xun Liu, The Chinese University of Hong Kong,Shenzhen

Yongpan Liu, Tsinghua University

Yan Lu, University of Macau

Guansheng Lv, Tsinghua University

Yufei Ma, Peking University

Pui In Mak, University of Macau

Fangyu Mao, University of Macau

Xiangyu Mao, University of Macau

Miao Meng, Tongji University

Xin Ming, University of Electronic Science and Technology of China

Dongfang Pan, University of Science and Technology of China

Quan Pan, Southern University of Science and Technology

Sining Pan, Tsinghua University

Huizhen Qian, Xidian University

Weiwei Shan, Southeast University

Linxiao Shen, Peking University

Xin Si, Southeast University

Shuang Song, Zhejiang University

Houjun Sun, Beijing Institute of Technology

Nan Sun, Tsinghua University

Kai Tang, Hunan University

Xiyuan Tang, Peking University

Zhong Tang, Vango Technologies, Inc.

Fengbin Tu, The Hong Kong University of Science and Technology

Chi-Wa U, University of Macau

Cheng Wang, University of Electronic Science and Technology of China

Yong Wang, University of Electronic Science and Technology of China

Yuan Wang, Peking University

Yuanfei Wang, University of Macau

Zheng Wang, University of Electronic Science and Technology of China

Liang Wu, The Chinese University of Hong Kong

Jiawei Xu, Fudan University

Hao Xu, Fudan University

Wei Xu, Shenzhen University

Quan Xue, South China University of Technology

Le Ye, Peking University

Jun Yin, University of Macau

Yun Yin, Fudan University

Shouyi Yin, Tsinghua University

Wei-Han Yu, University of Macau

Yiming Yu, University of Electronic Science and Technology of China

Chenchang Zhan, Southern University of Science and Technology

Chuan Zhang, Southeast University

Feng Zhang, The Institute of Microelectronics (IME) of the Chinese Academy of Sciences (CAS)

Lei Zhang, Tsinghua University

Minglei Zhang, University of Macau

Bo Zhao, Zhejiang University

Jian Zhao, Shanghai Jiao Tong University

Bo Zhou, Beijing Institute of Technology

Jun Zhou, University of Electronic Science and Technology of China

Shenglong Zhuo, Tongji University

To be updated...

Tutorials

Mar. 20, 2024

Multimodal Analog Front-End Circuits for Wearable Healthcare

Simultaneous recordings of multiple physiological signals in a wearable form factor enables more easy and comprehensive assessment of one’s health condition. However, detecting low-amplitude, low-frequency physiological signals from multiple aggressors like noise, motion artifacts, and environmental interferences remains the great challenge in practice. This talk presents several recent examples of biopotential, bioimpedance and optical interface circuits, with focus on analog circuits techniques to optimize noise, input impedance, input dynamic range, and power consumption for wearable scenarios.

徐佳伟,复旦大学 Jiawei Xu received the M.Sc. and Ph.D. degrees in the Delft University of Technology, The Netherlands. From 2006 to 2018, he was with imec/Holst Centre, Eindhoven. In 2018, he joined Fudan University, Shanghai, China, as a faculty member. His research group works on integrated circuits for wearable and implantable medical devices, precision sensor interfaces, and battery power management. He is a TPC member of ISSCC and CICC, an Associate Editor for IEEE Transactions on VLSI Systems.

Reconfigurable Machine Learning Processor: Fundamental Concepts, Applications, and Future Trends

A reconfigurable ML processor increases hardware flexibility to accommodate various ML algorithms and speeds up processing time while consuming less power. Typically, a reconfigurable ML processor includes multiple reconfiguration hierarchies, such as chip-level, processing element array-level, and processing element-level reconfigurations. Chip-level reconfiguration dynamically adjusts the parallelism of multi-chip systems to minimize computation latency and data access. Processing element array-level reconfiguration changes the dataflow or mapping of the computing engine to fully reuse the on-chip data, reducing the memory access. Processing element-level reconfiguration changes the function of the computing unit, such as computing precision and sparsity processing pattern, to increase the bit-wise hardware utilization. This tutorial explores the fundamental concepts of reconfigurable technology, discusses its applications in both digital and analog ML processors, and prospects for future development trends in reconfigurable technology.

尹首一,清华大学 Shouyi Yin received the B.S., M.S., and Ph.D. degrees in electronic engineering from Tsinghua University, Beijing, China, in 2000, 2002, and 2005, respectively. He has worked with Imperial College, London, U.K., as a Research Associate. He is currently a full professor and the vice director of School of Integrated Circuits in Tsinghua University. His research interests include reconfigurable computing, AI processors and high level synthesis. He has published more than 100 journal papers and more than 50 conference papers. He has served as technical program committee member in the top VLSI and EDA conferences such as A-SSCC, MICRO, DAC, ICCAD and ASPDAC. He is the associate editor of IEEE TCAS-I, ACM TRETS and Integration, the VLSI journal.

Silicon-based Millimeter Wave Integrated Circuit Design Technology

This tutorial mainly focused on the design technology of silicon-based millimeter-wave integrated circuits, which including the characteristics of commonly used passive components in silicon-based millimeter-wave integrated circuits (such as transmission lines, transformers), the design process of silicon-based millimeter-wave integrated circuits, the design methods of core circuit modules (such as low-noise amplifiers, power amplifiers, voltage-controlled oscillators), and considerations for system-level link design. This tutorial integrated the research progress of the research group, aiming to help the audience to understand the basic design methods and the latest developments in the field of silicon-based millimeter-wave integrated circuits.

池保勇,清华大学 池保勇,1998年07月于北京大学获得学士学位,2003年07月于清华大学获得博士学位,毕业后留校任教至今,并曾在美国斯坦福大学进修一年,研究领域包括硅基射频/毫米波集成电路、模拟集成电路和无线通信/雷达系统芯片。目前担任清华大学集成电路学院长聘教授,副院长,某主题组副首席。先后入选国家自然科学基金委优青、教育部长江学者青年学者、教育部高层次人才计划等。发表学术论文200多篇,授权中国和美国发明专利各30多项和5项。曾经担任 IEEE TCAS-II 客座编辑、IEEE A-SSCC TPC 成员和TPC共同主席、中国科学信息科学编委和Microelectronics Journal副主编。目前担任国家重点研发计划项目“硅基超高速无线通信收发机芯片”首席科学家和某重点项目负责人。研制的毫米波雷达芯片及系统获IEEE A-SSCC SDC杰出设计奖,曾经获得霍英东教育基金、清华大学学术新人奖、产学研合作创新奖、中国电子学会优秀科技工作者等奖励。

Hybrid DC-DC Converter Design: From Seeds to Leaves

With the surging demands for extremely high current at sub-1 V supply voltage level in high performance computing, high density power delivery becomes one of the main bottlenecks for system integration. For the high current applications, high-voltage rails are essential to reduce the IR losses on the power delivery networks. Thus, there is a wide voltage gap between the power bus and the digital supply rails at the point-of-load (PoL), calling for novel power conversion topologies and system architectures. To bridge this gap, switched-capacitor-inductor (SCI) hybrid DC-DC converter has been the hottest topic in the power management IC area in the past 10 years or so. In this talk, we will review the SCI hybrid DC-DC converter from the topology “seeds” to their “leaves”, and will also introduce a few hybrid DC-DC design examples from our research group. Then, we will share several of our observations and design suggestions for future works.

路延,澳门大学 路延,博士生导师,澳门大学微电子研究院副教授,兼任深圳福田澳大河套集成电路研究院常务副院长、珠海澳大科技研究院微电子研发中心主任。2013年博士毕业于香港科技大学。2014年加入澳门大学模拟与混合信号超大规模集成电路国家重点实验室工作至今。主要研究方向包括电源管理芯片设计、无线能量传输电路与系统等。发表IC设计领域顶尖论文ISSCC+JSSC共45篇。撰写专著两本。申请十余项中美专利。曾获ISSCC 2017菅野卓雄远东最佳论文奖、IEEE电路与系统学会2017杰出青年作者奖、2021年度国家自然科学基金优青(港澳)项目。曾任IEEE JSSC、TCAS-I和TCAS-II客座编辑、IEEE SSCS杰出讲师。现任ISSCC技术委员会委员、CICC电源分会主席、《半导体学报》副主编。

Conference Committee


Conference Co-Chairs

Zhiliang Hong, Fudan University     
洪志良,复旦大学

Yan Lu, University of Macau     
路延,澳门大学

Qiang Li, University of Electronic Science and Technology of China     
李强,电子科技大学

Technical Program Co-Chairs

Jiawei Xu, Fudan University      
徐佳伟,复旦大学

Chixiao Chen, Fudan University     
陈迟晓,复旦大学

Nan Sun, Tsinghua University     
孙楠,清华大学

Pui-In Mak, University of Macau      
麦沛然,澳门大学

Yongpan Liu, Tsinghua University     
刘勇攀,清华大学

Dixian Zhao, Southeast University     
赵涤燹,东南大学

Conference Program

Student Poster Session

In order to further encourage exchanges among students in the field of chip design, ICAC 2024 will set up a student poster session in addition to the invited talks. Students who are interested are welcome to attend and display. The best student poster award will be selected and presented at the conference. Students who participate in the poster session will receive an excellent participation experience.

The Link to submit your posters: https://iconf.young.ac.cn/IlqiW

Important Dates:
Student Poster Submission Deadline:
31st January, 2024 8th February, 2024

Camera Ready Submission Deadline:
10th March, 2024
Student Poster Session Date:
20th March, 2024
Download the CFP Flyer

Poster List

March 20, 2024 | 18:00-21:00

Registration


Early-bird Registration Fee

(On or before Feb. 26, 2024)
  • Student: 1200 RMB
  • Regular: 2400 RMB
  • Invited Speaker: 2400 RMB

Go →

Regular Registration Fee

(After Feb. 27, 2024)
  • Student: 1500 RMB
  • Regular: 2900 RMB
  • Invited Speaker: 2400 RMB

Tutorial Registration Fee

To be available soon
  • Student: 800 RMB per tutorial
    1200 RMB per double tutorials
  • Regular: 1200 RMB per tutorial
    1600 RMB per double tutorials


Notes:

  • Please click the above button or the following link to make registration: https://iconf.young.ac.cn/SvYKM
  • You will receive a confirmation email upon successful registration, and download the Conference Notification Document in PDF here. Contact us if you need an invitation letter: icacworkshop@126.com.
  • One registration fee can be waived for every four registrations who register at the same time and from the same affiliation. Click the registration link for more information. (Important Notes: Discount is only valid before March 20, 2024.)
  • Organizers & Sponsors


    Organized by

                               

    Hosted by

    Hua-Xin Technology Center


    Diamond Sponsors:

    Platinum Sponsors:

    Souvenir Sponsor

    Gold Sponsors:

    Contact Us

    For query, please contact conference secretary:

    Ms. Joyce Zhong

    Email: icacworkshop@126.com

    Tel/Phone: (86)18628263876