Intelligent Agents

SUSTech Intelligent Agents Lab (PI: Dr. Zhongrui Wang) at SUSTech SME works on novel hardware empowered AI agents and embodied AI.

We are pleased to announce joint postdoctoral openings co-advised by Prof. Xiaojuan Qi (University of Hong Kong, ~38000 citations, h‑Index 59, IEEE AI “10 to Watch” awardee, homepage, Google Scholar) and Prof. Zhongrui Wang (Southern University of Science and Technology). Successful candidates will conduct cutting‑edge research in one of two areas:

  • (1) Robotics—including mechanical design, control systems, and AI algorithm development
  • (2) Medical Image Analysis—developing novel methods for diagnostic imaging and clinical decision support.
For benefits:
  • 博士后聘用期两年,年薪33万元起,含广东省生活补贴15万元(税前)及深圳市生活补贴6万元(税前),并按深圳市有关规定参加社会保险及住房公积金。博士后福利费参照学校教职工标准发放。
  • 特别优秀候选人可以申请校长卓越博士后,年薪可达50万元以上。(含广东省及深圳市在站生活补贴)。
  • 在站期间,可依托学校申请深圳市公租房,未依托学校使用深圳市公租房的博士后,可享受两年税前2800元/月的住房补贴。
  • 拥有优良的工作环境和境内外合作交流机会,博士后在站期间享受两年共计2.5万学术交流经费资助。
  • 课题组协助符合条件的博士后申请博士后人才项目。如成功申请,最高可享受总计100万元补贴(与广东省及深圳市在站博士后生活补贴不同时享受)。
  • 博士后出站选择留深从事科研工作,且与本市企事业单位签订3年以上劳动(聘用)合同的,可以申请深圳市博士后留深来深科研资助。深圳市政府给予每人每年10万元科研资助,共资助3年(以深圳市最新申报要求为准)。
  • 根据《深圳市新引进博士人才生活补贴工作实施办法》规定,新引进博士人才生活补贴(10万元)与省市博士后在站生活补贴不同时享受。
Ideal applicants hold a Ph.D. in a relevant field, have a strong publication record, and are motivated to work in a highly collaborative, interdisciplinary environment. To apply, please submit your CV to wangzr@sustech.edu.cn.

Highlights works of our lab

Journals

  • Jichang Yang†, Hegan Chen†, Jia Chen†*, Songqi Wang, Shaocong Wang, Yifei Yu, Xi Chen, Bo Wang, Xinyuan Zhang, Binbin Cui, Yi Li, Ning Lin, Meng Xu, Yi Li, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang*, Xumeng Zhang*, Dashan Shang*, Han Wang, Qi Liu, Kwang‑Ting Cheng, Ming Liu, “Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model”, ArXiv:2404.05648. Read the paper

    [PI主通信工作]

  • Yifei Yu, Shaocong Wang, Woyu Zhang, Xinyuan Zhang, Xiuzhe Wu, Yangu He, Jichang Yang, Yue Zhang, Ning Lin, Bo Wang, Xi Chen, Songqi Wang, Xumeng Zhang, Xiaojuan Qi*, Zhongrui Wang*, Dashan Shang*, Qi Liu*, Kwang‑Ting Cheng, Ming Liu, “Efficient and accurate neural field reconstruction using resistive memory”, ArXiv:2404.09613. Read the paper

    [PI主通信工作]

  • Meng Xu, Shaocong Wang, Yangu He, Yi Li, Woyu Zhang, Ming Yang, Xiaojuan Qi*, Zhongrui Wang*, Ming Xu*, Dashan Shang*, Qi Liu, Xiangshui Miao, Ming Liu, “Efficient modelling of ionic and electronic interactions by resistive memory-based reservoir graph neural network”, ResearchSquare:3967300. Read the paper

    [PI主通信工作]

  • Hegan Chen†, Jichang Yang†, Jia Chen†*, Songqi Wang, Shaocong Wang, Dingchen Wang, Xinyu Tian, Yifei Yu, Xi Chen, Yinan Lin, Qifan Zhu, Yangu He, Xiaoshan Wu, Yi Li, Xinyuan Zhang, Ning Lin, Meng Xu, Xumeng Zhang, Xiaojuan Qi, Zhongrui Wang*, Han Wang*, Dashan Shang*, Qi Liu, Kwang‑Ting Cheng, Ming Liu, “Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver”, Science Advances (In press). Read the paper

    [PI主通信工作]

  • Haoxin Huang†, Shuhui Shi†, Jiajia Zha†, Yunpeng Xia, Huide Wang, Peng Yang, Long Zheng, Songcen Xu, Wei Wang, Yi Ren, Yongji Wang, Ye Chen, HauPing Chan, Johnny C. Ho, Zhongrui Wang*, Chaoliang Tan*, Yang Chai*, “In-sensor compressing via programmable optoelectronic sensors based on van der Waals heterostructures for intelligent machine vision”, Nature Communications, DOI:10.1038/s41467-025-59104-7. Read the paper

    [PI共通信工作]

  • Ning Lin†, Shaocong Wang†, Yi Li†, Bo Wang, Shuhui Shi, Yangu He, Woyu Zhang, Yifei Yu, Yue Zhang, Xinyuan Zhang, Kwunhang Wong, Songqi Wang, Xiaoming Chen, Hao Jiang, Xumeng Zhang, Peng Lin, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang*, Dashan Shang*, Qi Liu, Ming Liu, “Resistive memory-based zero-shot liquid state machine for multimodal event data learning”, Nature Computational Science 5, 37 (2025). Read the paper

    [PI主通信工作]

  • Shaocong Wang†, Yizhao Gao†, Yi Li†, Woyu Zhang, Yifei Yu, Bo Wang, Ning Lin, Hegan Chen, Yue Zhang, Yang Jiang, Dingchen Wang, Jia Chen, Peng Dai, Hao Jiang, Peng Lin, Xumeng Zhang, Xiaojuan Qi, Xiaoxin Xu, Hayden So, Zhongrui Wang*, Dashan Shang*, Qi Liu, Kwang‑Ting Cheng, Ming Liu, “Random resistive memory-based deep extreme point learning machine for unified visual processing”, Nature Communications 16, 960 (2025). Read the paper

    [PI主通信工作]

  • Dingyao Liu†, Xinyu Tian†, Jing Bai†, Shaocong Wang†, Shilei Dai, Yan Wang, Zhongrui Wang*, Shiming Zhang*, “A wearable in-sensor computing platform based on stretchable organic electrochemical transistors”, Nature Electronics (Early Access), DOI:10.1038/s41928-024-01250-9. Read the paper

    [PI共通信工作]

  • Shihao Han†, Sishuo Liu†, Shucheng Du†, Mingzi Li†, Zijian Ye, Xiaoxin Xu, Yi Li*, Zhongrui Wang*, Dashan Shang*, “CMN: a co-designed neural architecture search for efficient computing-in-memory-based mixture-of-experts”, Science China Information Sciences 67, 200405 (2024), DOI:10.1007/s11432-024-4144-y. Read the paper

    [PI主通信工作]

  • Yue Zhang†, Woyu Zhang†, Shaocong Wang, Ning Lin, Yifei Yu, Yangu He, Bo Wang, Hao Jiang, Peng Lin, Xiaoxin Xu, Xiaojuan Qi, Zhongrui Wang*, Xumeng Zhang*, Dashan Shang*, Qi Liu, Kwang‑Ting Cheng, Ming Liu, “Semantic memory–based dynamic neural network using memristive ternary CIM and CAM for 2D and 3D vision”, Science Advances 10, eado1058 (2024), DOI:10.1126/sciadv.ado1058. Read the paper

    [PI主通信工作]

  • Xiaosong Wu†, Shuhui Shi†, Baoshuai Liang, Yu Dong, Rumeng Yang, Ruiduan Ji, Zhongrui Wang*, Weiguo Huang*, “Ultralow-power optoelectronic synaptic transistors based on polyzwitterion dielectrics for in-sensor reservoir computing”, Science Advances 10, eadn4524 (2024), DOI:10.1126/sciadv.adn4524. Read the paper

    [PI共通信工作]

  • Shijie Wang†, Xi Chen†, Chao Zhao, Yuxin Kong, Baojun Lin, Yongyi Wu, Zhaozhao Bi, Ziyi Xuan, Tao Li, Yuxiang Li, Wei Zhang, En Ma, Zhongrui Wang*, Wei Ma*, “An organic electrochemical transistor for multi-modal sensing, memory and processing”, Nature Electronics 6, 281 (2023), DOI:10.1038/s41928-023-00950-y. Read the paper

    [PI共通信工作]

  • Shaocong Wang†, Yi Li†, Dingchen Wang, Woyu Zhang, Xi Chen, Danian Dong, Songqi Wang, Xumeng Zhang, Peng Lin, Claudio Gallicchio, Xiaoxin Xu, Qi Liu, Kwang‑Ting Cheng, Zhongrui Wang*, Dashan Shang*, Ming Liu, “Echo state graph Neural Networks with Analogue Random Resistor Arrays”, Nature Machine Intelligence 5, 104 (2023), DOI:10.1038/s42256-023-00609-5. Read the paper

    [PI主通信工作]

  • Xiaosong Wu†, Shaocong Wang†, Wei Huang, Yu Dong, Zhongrui Wang*, Weiguo Huang*, “Wearable In-sensor reservoir computing using optoelectronic polymers with through-space charge-transport characteristics for multi-task learning”, Nature Communications 14, 468 (2023), DOI:10.1038/s41467-023-36205-9. Read the paper

    [PI共通信工作]

  • Qiming Shao, Zhongrui Wang*, J. Joshua Yang*, “Efficient AI with MRAM”, Nature Electronics 5, 67–68 (2022), DOI:10.1038/s41928-022-00725-x. Read the paper

    [共一,PI共通信工作]

  • Zhongrui Wang, Huaqiang Wu, Geoffrey W. Burr, Cheol Seong Hwang, Kang L. Wang, Qiangfei Xia*, J. Joshua Yang*, “Resistive Switching Materials for Computing”, Nature Reviews Materials 5, 173–195 (2020), DOI:10.1038/s41578-019-0159-3. Read the paper

    [PI一作工作]

  • Zhongrui Wang†, Can Li†, Peng Lin†, Mingyi Rao, Yongyang Nie, Wenhao Song, Qinru Qiu, Yunning Li, Peng Yan, John Paul Strachan, Ning Ge, Nathan McDonald, Qing Wu, Miao Hu, Huaqiang Wu, R. Stanley Williams, Qiangfei Xia*, J. Joshua Yang*, “In situ training of feedforward and recurrent convolutional memristor networks”, Nature Machine Intelligence 1, 434–442 (2019), DOI:10.1038/s42256-019-0089-1. Read the paper

    [PI一作工作]

  • Zhongrui Wang†, Can Li†, Wenhao Song, Mingyi Rao, Daniel Belkin, Yunning Li, Peng Yan, Hao Jiang, Peng Lin, Miao Hu, John Paul Strachan, Ning Ge, Mark Barnell, Qing Wu, Andrew G. Barto, Qinru Qiu, R. Stanley Williams, Qiangfei Xia*, J. Joshua Yang*, “Reinforcement learning with analogue memristor arrays”, Nature Electronics 2, 115–124 (2019), DOI:10.1038/s41928-019-0221-6. Read the paper

    [PI一作工作]

  • Zhongrui Wang†, Mingyi Rao†, Jin‑Woo Han, Jiaming Zhang, Peng Lin, Yunning Li, Can Li, Wenhao Song, Shiva Asapu, Rivu Midya, Ye Zhuo, Hao Jiang, Jung Ho Yoon, Navnidhi Kumar Upadhyay, Saumil Joshi, Miao Hu, John Paul Strachan, Mark Barnell, Qing Wu, Huaqiang Wu, R. Stanley Williams*, Qiangfei Xia*, J. Joshua Yang*, “Capacitive neural network with neuro-transistors”, Nature Communications 9, 3208 (2018), DOI:10.1038/s41467-018-05677-5. Read the paper

    [PI一作工作]

  • Zhongrui Wang†, Saumil Joshi†, Sergey Saveliev, Wenhao Song, Rivu Midya, Mingyi Rao, Yunning Li, Peng Yan, Shiva Asapu, Ye Zhuo, Hao Jiang, Peng Lin, Can Li, Jung Ho Yoon, Navnidhi K. Upadhyay, Jiaming Zhang, Miao Hu, John Paul Strachan, Mark Barnell, Qing Wu, Huaqiang Wu, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang*, “Fully memristive neural networks for pattern classification with unsupervised learning”, Nature Electronics 1, 137–145 (2018), DOI:10.1038/s41928-018-0023-2. Read the paper

    [PI一作工作]

  • Zhongrui Wang†, Saumil Joshi†, Sergey E. Savel’ev, Hao Jiang, Rivu Midya, Peng Lin, Miao Hu, Ning Ge, John Paul Strachan, Zhiyong Li, Qing Wu, Mark Barnell, Geng‑Lin Li, Huolin L. Xin, R. Stanley Williams, Qiangfei Xia, J. Joshua Yang*, “Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing”, Nature Materials 16, 101–108 (2017), DOI:10.1038/NMAT4756. Read the paper

    [PI一作工作]

Conferences

  • Yi Li†, Zijian Ye†, Xiangqu Fu†, Songqi Wang, Shucheng Du, Ning Lin, Dashan Shang, Jinshan Yue*, Zhongrui Wang*, Xiaojuan Qi*, Feng Zhang*, Han Wang, “Efficient Edge Vision Transformer Accelerator with Decoupled Chunk Attention and Hybrid Computing-In-Memory”, 62nd Design Automation Conference (DAC), Jun 2024, San Francisco, USA. Read the paper

    [PI主通信工作]

  • Ning Lin†, Yi Li†, Yangu He†, Songqi Wang, Hegan Chen, Kwunhang Wong, Chuxin Li, Jichang Yang, Yifei Yu, Meng Xu, Yongkang Han, Rui Chen, Xiaoming Chen, Xiaoxin Xu, Jianguo Yang, Dashan Shang* and Zhongrui Wang*, “Re4PUF: A Reliable, Reconfigurable ReRAM-based PUF Resilient to DNN and Side Channel Attacks”, 62nd Design Automation Conference (DAC), Jun 2024, San Francisco, USA. Read the paper

    [PI主通信工作]

  • Ning Lin†, Yi Li†, Jiankun Li†, Jichang Yang†, Yangu He, Yukui Luo, Dashan Shang, Xiaoming Chen*, Xiaojuan Qi* and Zhongrui Wang*, “Guarder: A Stable and Lightweight Reconfigurable RRAM-based PIM Accelerator for DNN IP Protection”, 62nd Design Automation Conference (DAC), Jun 2024, San Francisco, USA. Read the paper

    [PI主通信工作]

  • Wei Xuan, Zhongrui Wang*, Lang Feng*, Ning Lin, Zihao Xuan, Rongliang Fu, Tsung‑Yi Ho, Yuzhong Jiao, Luhong Liang, “SeDA: Secure and Efficient DNN Accelerators with Hardware/Software Synergy”, 62nd Design Automation Conference (DAC), Jun 2024, San Francisco, USA. Read the paper

    [PI主通信工作]

  • Lewei He, Ning Lin, Binbin Cui, Xinran Zhang, Shiming Zhang*, Zhongrui Wang, “DANN: Diffractive Acoustic Neural Network for in-sensor computing system target at multi-biomarker diagnosis”, 62nd Design Automation Conference (DAC), Jun 2024, San Francisco, USA. Read the paper

    [PI主通信工作]

  • Jichang Yang, Hegan Chen, Jia Chen, Songqi Wang, Shaocong Wang, Yifei Yu, Bo Wang, Ning Lin, Xinyuan Zhang, Rui Chen, Zhongrui Wang*, Dashan Shang*, Han Wang*, Qi Liu, Ming Liu, “Conditional Diffusion Model Acceleration with First-Demonstrated RRAM-based In-memory Neural Differential Equation Solver”, 70th Annual IEEE International Electron Devices Meeting (IEDM), Dec 2024, San Francisco, USA. Read the paper

    [PI主通信工作]

  • Kam Chi Loong, Shihao Han, Sishuo Liu, Ning Lin*, Zhongrui Wang*, “RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices”, The 42nd IEEE International Conference on Computer Design (ICCD 2024), Nov 2024, Milan, Italy. Read the paper

    [PI主通信工作]

  • Kwunhang Wong, Songqi Wang, Wei Huang, Xinyuan Zhang, Yangu He, Karl M. H. Lai, Yuzhong Jiao, Ning Lin*, Xiaojuan Qi, Xiaoming Chen*, Zhongrui Wang*, “SNNGX: Securing Spiking Neural Networks with Genetic XOR Encryption on RRAM-based Neuromorphic Accelerator”, 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2024), Oct 2024, New York, USA. Read the paper

    [PI主通信工作]

  • Ning Lin*, Songqi Wang*, Xinyuan Zhang, Shaocong Wang, Yangu He, Woyu Zhang, Bo Wang, Jiankun Li, Mingzi Li, Binbin Cui, Yi Li, Jia Chen, Chunwei Xia, Wei Xuan, Xiaoming Chen, Dashan Shang*, Zhongrui Wang*, “LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator”, 43rd IEEE/ACM International Conference on Computer-Aided Design (ICCAD 2024), Oct 2024, New York, NY, USA. Read the paper

    [PI主通信工作]

  • Ning Lin, Shaocong Wang, Yue Zhang, Yangu He, Kwunhang Wong, Arindam Basu, Dashan Shang, Xiaoming Chen, Zhongrui Wang*, “Older and Wise: The Marriage of Device Aging and Intellectual Property Protection of DNNs”, 61st ACM/IEEE Design Automation Conference (DAC 2024), Jun 2024, San Francisco, USA. Read the paper

    [PI主通信工作]