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 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 "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. |
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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 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 |
- 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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