Li Jiang Department of Computer
Science & Engineering, Shanghai Jiao Tong University Office: Rm521, SEIEE
Building #03, Dong Chuan Road #800, Min Hang District, Shanghai Tel: 86-21-34208232 Email: ljiang_cs AT sjtu.edu.cn I'm
recruiting 3 master 's degree candidates(
including Joint Postgraduate Programme with Hisilicon) I'm
recruiting Experienced system
engineers, Scholars in computer architecture, EDA and AI areas, and
self-motivated student research assistant! |
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News |
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Our paper " UM-PIM: DRAM-based PIM with
Uniform & -
Shared Memory Space" has been accepted by ISCA 2024!
Congratulation to Yilong zhao
and others. -
Our paper " SPARK:Scalable and Precision-Aware Accelerationof Neural Networks via Efficient
Encoding" has been accepted by HPCA 2024! Congratulation to Ning Yang
and others. -
Our paper "ERA-BS: Boosting the Efficiency of ReRAM-based
PIM Accelerator with Fine-Grained Bit-Level Sparsity" has been accepted
by IEEE Transactions on Computers! Congratulation to Fangxin
Liu and others. -
Our paper " HyperNode" has been accepted by
ICCAD 2023! Congratulation to Haoming Li and others. -
Our paper "HyperAttack"
has been accepted by DAC 2023! Congratulation to Fangxin
Liu and others. Welcome to follow our public account!WeChat ID:gh_c7b330226334 |
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Short Bio |
Li Jiang
received the B.S. degree from the Dept. of CS&E, Shanghai Jiao Tong
University in 2007, the MPhil, and the Ph.D. degree from the Dept. of CS&E,
the Chinese University of Hong Kong in 2010 and 2013, respectively. He has
been working on Computer Architecture and Design Automation for years. His
research interests are Domain Specific Architecture for emerging
applications, e.g., AI, database and Networking, emerging computer
architecture such as compute-in-memory, near-data processing and etc. He has
published more than 80 peer-review papers in top-tier computer architecture,
EDA and AI/Database conferences and journals, including ISCA, MICRO, DAC,
ICCAD, AAAI, ICCV, SigIR, TC, TCAD, TPDS and etc.
He received the Best Paper Award in DATE'22, Best Paper
Nomination in ICCAD10, and DATE21. According to the IEEE Digital Library,
five articles ranked in the top 5 of citations of all papers collected at its
conferences. Some of the achievements have been introduced into the IEEE
P1838 standard, and several technologies have been in commercial use in
cooperation with TSMC, Huawei, and Alibaba. He got
the best Ph.D. Dissertation award in ATS 2014, and he was in the final list
of TTTC's
E. J. McCluskey Doctoral Thesis Award. He received ACM Shanghai Rising Star
award and CCF VLSI early career award in 2019. He received the 2nd
class prize of Wu Wenjun Award for Artificial Intellegence. He
has been selected
the national ten thousand talents plan—top-notch young talents,
2023. He serves as co-chair and TPC member in several international and
national conferences, such as MICRO, DATE, ASP-DAC, ITC-Asia, ATS, CFTC, CTC,
etc. He is an Associate Editor of IET Computers Digital Techniques, VLSI, the
Integration Journal. He is the co-founder of ChinaDA
and ACM/SigDA East China Branch. |
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Research Interest |
- Near Data Processing, Compute-in-memory,
Neuromorphic Computing - Domain Specific Architecture for AI,
Database, networking etc. - AI compiling framework |
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Teaching |
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CS2951
Computer System (2022,2023) -
CS308
Compiler Principles (2015-2017, 2021, 2022) -
CS427
Multicore Architecture and Parallel Programming (2014-2016,2021,2022) -
CS222
Algorithm Design and Analysis (2018-2020) -
CS339
Computer Networks (2014-2016) |
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Honor |
- Selected The National Ten Thousand
Talents Plan—Top-notch
Young Talents, 2023(入选万人计划——青年拔尖人才计划) - Wu Wen Jun Award for Artificial
Intelligence, 2nd class, 2021 - CCF Distinguished Lecturer, 2020 - CCF VLSI Early Career Award, 2019 - ACM Shanghai Rising Star Award, 2019 - Youth sailing program of excellence in
science and technology, 2015 - IEEE TTTC Doctoral Thesis Award
Semi-final, Asian Test Symposium, Best Thesis Award (Rank 1), Nov. 2014 - CCF-Tecent
"rhino bird" creativity award fund - Nominated for Best Paper Award,
IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2010 - Certificate of Merit for Excellent
Teaching Assistant Department of CS&E, CUHK, Hongkong SAR 2010 - Outstanding graduate of colleges and
universities in Shanghai, China 2007 |
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Honor(student) |
- Best Paper Award (Embedded Systems
Design Track), DATE 2023. Congratulation to Zhuoran
Song and others. - Spark Award (Data-free/Label-free),
Huawei, 2022. Congratulation to Fangxiu Liu. - Best Paper Award (Test &
Dependability Track), DATE 2022. Congratulation to Zongwu
Wang and others. - Best Paper Award Nomintion(E Track), DATE
2022. Congratulation to Tao Yang and others. -National Scholarship(2021,2022)-Fangxiu Liu; -National Scholarship(2021)-Tao
Yang; -Wu Wen Jun Honorary Doctoral
Scholarship, 2021-Fangxiu Liu. |
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Publication |
My DBLP,Google
Scholar,IEEE and ACM profile Recent Publication: Transactions and Journals 2023 [1].
Fangxin Liu, Wenbo Zhao, Zongwu Wang,Yongbiao Chen, Xiaoyao Liang and Li Jiang*, “ERA-BS: Boosting the Efficiency of
ReRAM-based PIM Accelerator with Fine-Grained Bit-Level Sparsity", accepted by IEEE Transactions on Computers (TC), 2023 (CCF-A) 2022 [2].
Fangxin Liu,Zongwu Wang,Yongbiao Chen, Zhezhi He,
Tao Yang, Xiaoyao Liang and Li Jiang*, “SoBS-X:Squeeze-Out Bit Sparsity for ReRAM-Crossbar-Based Neural Network Accelerator", accepted by IEEE Transactions on
Computer-Aided Design of Integrated Circuits and Systems(TCAD), 2022 (CCF-A) [3].
Tao
Yang,Dongyue Li,Fei
Ma,Zhuoran Song,Yilong Zhao,Jiaxi Zhang,Fangxin Liu and Li Jiang*, “PASGCN: An
ReRAM-Based PIM Design for GCN with Adaptively Sparsified
Graphs”, accepted by IEEE Transactions on
Computer-Aided Design of Integrated Circuits and Systems(TCAD), 2022 (CCF-A) [4].
Weidong
Cao, Yilong Zhao, (CO-first author), Boloor Adith Jagadish, Yinhe Han, Xuan
Zhang*, Li Jiang*, “Neural-PIM: Efficient Processing-In-Memory with Neural
Approximation of Peripherals”, accepted by IEEE
Transactions on Computers (TC), Accepted, 2022 (CCF-A) [5]. Fangxin Liu, Wenbo
Zhao, Yongbiao Chen, Zongwu
Wang, Tao Yang and Li Jiang*, “SSTDP:
Supervised Spike Timing Dependent Plasticity for Efficient Spiking Neural
Network Training”, accepted by Frontiers in Neuroscience, section Neuromorphic
Engineering, 2022 [6].
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yilong Zhao, Tao
Yang, Yiran Chen and Li Jiang*, “IVQ: In-Memory Acceleration of DNN Inference Exploiting Varied
Quantization“, IEEE
Transactions on Computer-Aided Design of Integrated Circuits and Systems(TCAD), 2022 (CCF-A) Peered-review Conferences 2022 [7]. Fangxin Liu, Zongwu
Wang, and Li Jiang*, “Irregular and Match: A Co-Design Framework for Energy Efficient
Processing in Spiking Neural Networks”, to appear in
IEEE International Conference on Computer Design, 2022 (CCF-B) [8]. Xuan Zhang, Zhuoran
Song, Xing Li, Linan Yang, Qijun
Zhang, Zhezhi He, Li Jiang, Naifeng Jing and Xiaoyao
Liang*, “IHAA: An
Item-Hotness-Aware RRAM-based Accelerator for Recommendation Model”, to appear in IEEE International Conference on Computer Design,
2022 (CCF-B) [9].
Zhi Li, Yanan Sun, Zhezhi
He, Liukai Xu, Li Jiang*, “CIM-ISP: Computing In-Memory for
Image Signal Processing”, Proceedings of Asia
and South Pacific Design Automation Conference (ASP-DAC), Japan, 2022
(CCF-C) [10].
Qidong Tang, Zhezhi He, Fangxin Liu, Zongwu Wang, Yiyuan Zhou, Yinghuan Zhang, Li
Jiang*, "HAWIS: Hardware-Aware Automated WIdth
Search for Accurate, Energy-Efficient and Robust Binary Neural Network on
ReRAM Dot-Product Engine," 27th Asia and South Pacific Design Automation
Conference (ASP-DAC), 2022, pp. 226-231 (CCF-C) [11].
Yu
Gong, Zhihan Xu, Zhezhi
He, Weifeng Zhang, Xiaobing
Tu, Xiaoyao Liang, Li Jiang*, “N3H-Core: Neuron-designed Neural
Network Accelerator via FPGA-based Heterogeneous Computing Cores”, Proceedings of the 2022 ACM/SIGDA International Symposium on
Field-Programmable Gate Arrays (FPGA), February 2022, Pages 112–122 (CCF-B) [12].
Fangxin Liu,Haomin Li,Xiaokang Yang,Li Jiang*, “L3E-HD: A Framework Enabling
Efficient Ensemble in High-Dimensional Space for Language Tasks”,International Conference on Research and Development in
Information Retrieval (SIGIR), 2022 (CCF-A) [13].
Fangxin Liu, Wenbo Zhao, Zongwu Wang,Qidong Tang, Yongbiao Chen,Zhezhi He,Naifeng Jing,Xiaoyang Liang
and Li Jiang*, “EBSP: Evolving Bit Sparsity Patterns for Hardware-Friendly
Inference of Quantized Deep Neural Networks”,
ACM/IEEE Design Automation Conference (DAC), 2022 (CCF-A) [14].
Fangxin Liu, Wenbo Zhao, Zongwu Wang, Yongbiao Chen, Tao
Yang, Zhezhi He, Xiaokang
Yang and Li Jiang*, “SATO:
Spiking Neural Network Acceleration via Temporal-Oriented Dataflow and
Architecture”, ACM/IEEE Design Automation Conference
(DAC), 2022 (CCF-A) [15].
Fangxin Liu, Wenbo Zhao, Yongbiao Chen, Zongwu Wang, Zhezhi He, Rui Yang, Qidong
Tang, Tao Yang, Cheng Zhuo and Li Jiang*, ”PIM-DH: ReRAM-based Processing-in-Memory Architecture for Deep Hashing
Acceleration”, ACM/IEEE Design Automation Conference (DAC),
2022 (CCF-A) [16].
Fangxin Liu,Wenbo Zhao, Zongwu Wang,Yongbiao Chen, Li
Jiang*, “SpikeConverter: An Efficient Conversion Framework Zipping the Gap between
Artificial Neural Networks and Spiking Neural Networks”, Association for the Advancement of Artificial Intelligence(AAAI),
2022 (CCF-A) [17].
Tao
Yang, Dongyue Li, Zhuoran
Song, Yilong Zhao, Fangxin
Liu, Zongwu Wang, Zhezhi
He and Li Jiang*, “DTQAtten:
Leveraging Dynamic Token-based Quantization for Efficient Attention
Architecture”, Design Automation & Test in Europe
Conference & Exhibition (DATE), 2022 (CCF-B) [18].
Zongwu Wang, Zhezhi He, Rui
Yang, Shiquan Fan, Jie
Lin, Fangxin Liu, Yueyang
Jia, Chenxi Yuan, Qidong
Tang, and Li Jiang*, “Self-Terminated Write of Multi-Level Cell ReRAM for Efficient
Neuromorphic Computing”, Design Automation & Test
in Europe Conference & Exhibition (DATE), 2022 (CCF-B) (Best Paper Award) |
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Finished Project |
1. 国家自然科学基金青年项目、“单体三维碳纳米晶体管存储器的容错技术研究与实现”、2017/01-2019/12、主持。 2. 国家重点研发计划,“信息产品及科技服务集成化众测服务平台研发与应用”、参与(校内主持),2019/01-2021/12 3. 上海交通大学重点前瞻布局基金,“忆阻器阵列芯片”,2020-2021、主持 4. 上海市青年科技英才扬帆计划、“基于碳纳米管技术的计算机体系架构探索与研究”、2015/01-2017/12、主持 5. 上海市自然科学基金探索类项目、“适合在线学习的类脑芯片计算架构”、2018/01-2021/7、主持 6. 中兴通讯产学研合作项目,“低能耗CNN深度学习图像识别算法”,主持,2018-2020 7. 阿里巴巴AIR横向课题,“分布式系统IO性能问题检测与定位”,参与,2019-2020 8. 阿里巴巴AIR横向课题、“A LSTM-Recurrent Generative Adversarial Network (RGAN) based
Health-Status Analysis for Distributed System”、主持,
2018-2019 9. 阿里巴巴AIR横向课题,“基于样本与特征增强的大规模数据中心内存故障预测”,主持,2019-2020 10.阿里巴巴AIR横向课题,“针对资源受限架构的DNN模型压缩技术”, 主持,2019-2020 11.华为横向课题,“基于ReRAM的高效可靠DNN加速器技术研究”, 2019-2020,主持 12.华为横向课题,“端侧稀疏化深度神经网络训练框架”, 2019-2020、主持 13.华为智库专家, 2019-2020 14.华为横向课题,“低延迟SoC通信协议评估与优化”, 2019-2020、主持 15. Intel Gift, DNN
acceleration with heterogeneous computing, 2020 |
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On-Going Project |
1.国家自然科学基金重点项目、“集成电路近似计算基础理论与设计方法”
、2019/01-2022/12、子课题负责人 2.华为横向课题,“近cache计算架构”,2021-2022、主持 3.华为横向课题,“光通信存算一体架构与电路研究”, 2021-2022、主持 4.华为横向课题,“稀疏AI框架研究”, 2021-2022、主持 5.横向课题,“存算一体架构研究”,2022-2023、主持 |
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Research Group |
Current: PhD: Zongwu
Wang; Shiyuan Huang; Ning Yang; Yilong Zhao;
Haoming Li. Master: Hui Ma; Feng Xu; Longyu Zhao; Peng Xu; QUENTIN KASAN TIM PATINIER; Yiwei Hu; Tianheng Wang; Gongye Chen. Collaborators @ SJTU team: @Dept. of CSE Zhezhi He (Assistant Professor), Zhuoran Song (Assistant Professor), and Xiaoyao Liang (Professor) @ Dept. of ME Yanan Sun (Associate Professor), Yaoyao Ye (Associate Professor), Naifeng
Jing (Associate Professor) @ Joint Institute Rui Yang (Associate Professor), Weikang Qian (Associate Professor) Alumni: Graduated in 2023: Fangxin
Liu(Assistant Professor@SJTU), Tao Yang(Huawei's
"Genius Youth" program 2023), Qidong Tang(MING HONG INVESTMENT),
Yiyuan Zhou(MOORE THREADS) Graduated in 2022: Tian Li (Huawei), Yunyan Hong (ByteDance), Hanchen Guo (ICBC) Graduated in 2021: Zhuoran
Song(co-supervised, Assistant Professor@SJTU) Graduated in 2020: Xiaoyi
Sun (AntGroup), Xingyi
Wang (ByteDance), Yilong Zhao
(Shanghai Qizhi Research Institute), Chaoqun Chu (Megvii) Graduated in 2019: Zishan Jiang (SenseTime),Chengwen
Xu(NVIDIA), Jianfei Wang( Sensetime) Graduated in 2018: Jun Li (miHoYo), Hao Dong (Akuna Capital),Yi
Liu (DJI),Lerong Chen (Entrepreneurship),Tianjian Li ( Sensetime) Graduated in 2017: Feng Xie (ele.me), Xiangyu Wu
(Google), Xiangwei Huang(Huawei) Graduated in 2016: Yihuang Huang (Netease Games), Hao Chen (UT-Austin), Mengyun Liu (Duke), Wenkang Yu (UCSD), Jiawen Li (UCLA), Xiangyu Bi (UT-Austin), Yan Han, Chengkai Zhu (UCSD) |
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Research Activity |
Chair: TPC chair in CFTC2021, General
Chair in ChinaDA, Tutorial Chair in ITC-Asia,
Workshop Chair in CTC/CFTC Associate Editor: IET Journal on
Computers & Digital Techniques TPC Member: Design Automation and Test in
Europe Conference (DATE); Asia and South Pacific Design Automation Conference
(ASP-DAC); Asian Test Symposium (ATS); 3D-Test workshop; IEEE/ACM
International Symposium on Nanoscale Architectures (NANOARCH), IEEE Computer
Society Annual Symposium on VLSI (ISVLSI), IEEE Microarchitecture (MICRO) Reviewer: IEEE Transaction on CAD of
Integrated Circuits and Systems (TCAD), IEEE Transactions on Very Large Scale Integration (VLSI) Systems (TVLSI), IEEE
Transactions on Computer (TC), ACM/IEEE Design Automation Conference (DAC),
Asian Test Symposium conference (ATS). |
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