李凌｜复旦大学｜学者主页

2026

价值链理论视域下高校出版社做强主题出版的优势、短板与路径

李凌，杨涛，陈李伟

《中国编辑》，No. 4

2026

Cambricon-QM: A Hybrid Architecture for Microscaling Format Training

Xi-Ming Liu, Yongwei Zhao, Chang Liu, Zi-Dong Du, Xin-Gui Hu, Yimin Zhuang, Zhenxing Zhang, Yifan Hao, Xinkai Song, Rui Zhang, Wei Li, Xi-Shan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen, Qi Guo

IEEE transactions on computers

DOI

2025

中国“三农”研究自主知识体系建构与涉农期刊的学术自觉

李凌，蒋玮，刘浩

《东北农业大学学报：社会科学版》，Vol. 23, No. 5

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2024

综合性学术期刊的主题化出版模式创新

李凌，宋雪飞，刘浩

《南京大学学报(哲学.人文科学.社会科学)》，Vol. 61, No. 6

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2024

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification

Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xi-Shan Zhang, Rui Zhang, Yi-Fan Hao, Ling Li, Zikang Tian, Ming-Liang Gao, Yutai Li, Yi-Ming Gan, Shuai Liang, Zi-Hao Zhang, Zi-Dong Du, Qi Guo, Xin-Gui Hu, Yun-Ji Chen

arXiv.org

DOI

2024

Assessing and Understanding Creativity in Large Language Models

Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yi-Fan Hao, Yuanbo Wen, Xin-Gui Hu, Zi-Dong Du, Qi Guo, Ling Li, Yun-Ji Chen

Machine Intelligence Research

DOI

2024

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning

Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Rui Chen, Yun-Ji Chen, Ling Li

AAAI Conference on Artificial Intelligence

DOI

2024

Prompt-based Visual Alignment for Zero-shot Policy Transfer

Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xin-Gui Hu, Yuanbo Wen, Zi-Hao Zhang, Zi-Dong Du, Ling Li, Qi Guo, Yun-Ji Chen

International Conference on Machine Learning

DOI

2024

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

Shaohui Peng, Xin-Gui Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Rui Chen, Zi-Dong Du, Qi Guo, Yun-Ji Chen, Ling Li

AAAI Conference on Artificial Intelligence

DOI

2023

学术期刊出版深度融合发展路径——基于区块链技术的协同创新平台构建

宋雪飞，李凌，刘浩

《出版科学》，Vol. 31, No. 1

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2023

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators

Jun Bi, Qi Guo, Xia-Qing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xin-Gui Hu, Zi-Dong Du, Ling Li, Hua-Ping Chen, Tian-Shi Chen

International Conference on Architectural Support for Programming Languages and Operating Systems

DOI

2023

Pushing the Limits of Machine Design: Automated CPU Design with AI

Shuyao Cheng, Peng-Wei Jin, Qi Guo, Zi-Dong Du, Rui Zhang, Yu Tian, Xin-Gui Hu, Yongwei Zhao, Yi-Fan Hao, Xiangtao Guan, Husheng Han, Zheng-Yue Zhao, Xi-Ming Liu, Ling Li, Xi-Shan Zhang, Yuejie Chu, W. Mao, Tian-Shi Chen, Yun-Ji Chen

arXiv.org

DOI

2023

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning

Zikang Tian, Rui Chen, Xin-Gui Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zi-Dong Du, Qi Guo, Yun-Ji Chen

Neural Information Processing Systems

DOI

2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks

Chang Liu, Rui Zhang, Xi-Shan Zhang, Yi-Fan Hao, Zi-Dong Du, Xin-Gui Hu, Ling Li, Qi Guo

arXiv.org

DOI

2023

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Rui Chen, Zi-Dong Du, Xin-Gui Hu, Xi-Shan Zhang, Ling Li, Yun-Ji Chen

Neural Information Processing Systems

DOI

2023

Learning controllable elements oriented representations for reinforcement learning

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xin-Gui Hu, Zi-Dong Du, Qi Guo, Rui Chen, Ling Li, Yun-Ji Chen

Neurocomputing

DOI

2023

Context Shift Reduction for Offline Meta-Reinforcement Learning

Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Rui Chen, Zi-Dong Du, Xin-Gui Hu, Qi Guo, Ling Li, Yun-Ji Chen

Neural Information Processing Systems

DOI

2023

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression

Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xin-Gui Hu, Rui Chen, Zi-Dong Du, Xi-Shan Zhang, Ling Li, Qi Guo, Yun-Ji Chen

Neural Information Processing Systems

DOI

2023

Learning Domain-Aware Detection Head with Prompt Tuning

Haochen Li, Rui Zhang, Han-Tao Yao, Xinkai Song, Yi-Fan Hao, Yongwei Zhao, Ling Li, Yun-Ji Chen

Neural Information Processing Systems

DOI

2023

Conceptual Reinforcement Learning for Language-Conditioned Tasks

Shaohui Peng, Xin-Gui Hu, Rui Zhang, Jiaming Guo, Qi Yi, Rui Chen, Zi-Dong Du, Ling Li, Qi Guo, Yun-Ji Chen

AAAI Conference on Artificial Intelligence

DOI

2023

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning

Shaohui Peng, Xin-Gui Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Rui Chen, Zi-Dong Du, Qi Guo, Yun-Ji Chen, Ling Li

arXiv.org

DOI

2022

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning

Shaohui Peng, Xin Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Rui Chen, Xi-Shan Zhang, Zi-Dong Du, Ling Li, Qi Guo, Yun-Ji Chen

Neural Information Processing Systems

DOI

2022

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System

Zi-Dong Du, Qi Guo, Yongwei Zhao, Xi Zeng, Ling Li, Limin Cheng, Zhi-Wei Xu, Ninghui Sun, Yun-Ji Chen

IEEE transactions on computers

DOI

2022

BabelTower: Learning to Auto-parallelized Program Translation

Yuanbo Wen, Qi Guo, Qiang Fu, Xia-Qing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xin Hu, Zi-Dong Du, Ling Li, Chao Wang, Xue-Hai Zhou, Yun-Ji Chen

International Conference on Machine Learning

2022

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training

Chang Liu, Xi-Shan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zi-Dong Du, Shaoli Liu, Tian-Shi Chen

IEEE Transactions on Image Processing

DOI

2021

以特色立刊是期刊高质量发展的有效路径——写在《南京农业大学学报(社会科学版)》创刊20周年之际

李凌，宋雪飞，刘浩，蒋玮

《南京农业大学学报(社会科学版)》，Vol. 21, No. 5

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2021

A Decomposable Winograd Method for N–D Convolution Acceleration in Video Analysis

Di Huang, Rui Zhang, Xi-Shan Zhang, Fan Wu, Xianzhuo Wang, Peng Jin, Shaoli Liu, Ling Li, Yun-Ji Chen

International Journal of Computer Vision

DOI

2021

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms

Rui-Zhi Chen, Xiaoyu Wu, Yansong Pan, Kaizhao Yuan, Ling Li, Tianyun Ma, Jiyuan Liang, Rui Zhang, Kai Wang, Chen Zhang, Shaohui Peng, Xi-Shan Zhang, Zi-Dong Du, Qi Guo, Yun-Ji Chen

arXiv.org

2021

Griffin: Rethinking Sparse Optimization for Deep Learning Architectures

Jong-Hoon Shin, A. Shafiee, A. Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph H. Hassoun

International Symposium on High-Performance Computer Architecture

DOI

2021

Cambricon-Q: A Hybrid Architecture for Efficient Training

Yongwei Zhao, Chang Liu, Zi-Dong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xi-Shan Zhang, Ling Li, Zhi-Wei Xu, Tian-Shi Chen

International Symposium on Computer Architecture

DOI

2021

Design Space Exploration of Sparse Accelerators for Deep Neural Networks

Jong-Hoon Shin, A. Shafiee, A. Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph H. Hassoun

arXiv.org

2020

Machine Learning Computers With Fractal von Neumann Architecture

Yongwei Zhao, Zhe Fan, Zi-Dong Du, Tian Zhi, Ling Li, Qi Guo, Shaoli Liu, Zhi-Wei Xu, Tian-Shi Chen, Yun-Ji Chen

IEEE transactions on computers

DOI

2020

ParaML: A Polyvalent Multicore Accelerator for Machine Learning

Shengyuan Zhou, Qi Guo, Zi-Dong Du, Dao-Fu Liu, Tian-Shi Chen, Ling Li, Shaoli Liu, Jinhong Zhou, O. Temam, Xiao-Bing Feng, Xue-Hai Zhou, Yun-Ji Chen

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

DOI

2020

DSNNs: learning transfer from deep neural networks to spiking neural networks

Lei Zhang, Zi-Dong Du, Ling Li, Yun-Ji Chen

DOI

2020

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach

Xi Zeng, Tian Zhi, Xu-Da Zhou, Zi-Dong Du, Qi Guo, Shaoli Liu, Bing-Rui Wang, Yuanbo Wen, Chao Wang, Xue-Hai Zhou, Ling Li, Tian-Shi Chen, Ninghui Sun, Yun-Ji Chen

IEEE transactions on computers

DOI

2019

Cambricon-F: Machine Learning Computers with Fractal von Neumann Architecture

Yongwei Zhao, Zi-Dong Du, Qi Guo, Shaoli Liu, Ling Li, Zhi-Wei Xu, Tian-Shi Chen, Yun-Ji Chen

International Symposium on Computer Architecture

DOI

2019

Addressing Sparsity in Deep Neural Networks

Xu-Da Zhou, Zi-Dong Du, Shi-Jin Zhang, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tian-Shi Chen, Yun-Ji Chen

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

DOI

2019

An Instruction Set Architecture for Machine Learning

Yun-Ji Chen, Huiying Lan, Zi-Dong Du, Shaoli Liu, Jinhua Tao, Dong Han, Tao Luo, Qi Guo, Ling Li, Yuan Xie, Tian-Shi Chen

ACM Transactions on Computer Systems

DOI

2018

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach

Xu-Da Zhou, Zi-Dong Du, Qi Guo, Shaoli Liu, Chengsi Liu, Chao Wang, Xue-Hai Zhou, Ling Li, Tian-Shi Chen, Yun-Ji Chen

Micro

DOI

2017

高校学报的差异化发展策略

宋雪飞，李凌

《南通大学学报(社会科学版)》，Vol. 33, No. 4

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2017

中国特色智库思想市场的供给侧结构性改革

李凌，唐亚汇

《河南社会科学》，No. 3

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2017

高校学报网络传播特点及传播力提升——以农业高校学报为例

刘浩，李凌，李二斌

《出版科学》，Vol. 25, No. 1

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2017

An Accelerator for High Efficient Vision Processing

Zi-Dong Du, Shaoli Liu, Robert Fasthuber, Tian-Shi Chen, P. Ienne, Ling Li, Tao Luo, Qi Guo, Xiao-Bing Feng, Yun-Ji Chen, O. Temam

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

DOI

2017

DaDianNao: A Neural Network Supercomputer

Tao Luo, Shaoli Liu, Ling Li, Yuqing Wang, Shi-Jin Zhang, Tian-Shi Chen, Zhi-Wei Xu, O. Temam, Yun-Ji Chen

IEEE transactions on computers

DOI

2017

高効率的視覚処理のための加速器【Powered by NICT】

Zi-Dong Du, Shaoli Liu, Fasthuber Robert, Tian-Shi Chen, Ienne Paolo, Ling Li, Tao Luo, Qi Guo, Xiaobing Feng, Yun-Ji Chen, T. Olivier

2016

IMR: High-Performance Low-Cost Multi-Ring NoCs

Shaoli Liu, Tian-Shi Chen, Ling Li, Xiaoxue Feng, Zhi-Wei Xu, Hai-Bo Chen, F. Chong, Yun-Ji Chen

IEEE Transactions on Parallel and Distributed Systems

DOI

2016

Cambricon-X: An accelerator for sparse neural networks

Shi-Jin Zhang, Zi-Dong Du, Lei Zhang, Huiying Lan, Shaoli Liu, Ling Li, Qi Guo, Tian-Shi Chen, Yun-Ji Chen

Micro

DOI

2015

FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information

Shaoli Liu, Tian-Shi Chen, Ling Li, Xi Li, Ming-Zhe Zhang, Chao Wang, Haibo Meng, Xue-Hai Zhou, Yun-Ji Chen

IEEE Transactions on Parallel and Distributed Systems

DOI

2015

ShiDianNao: Shifting vision processing closer to the sensor

Zi-Dong Du, Robert Fasthuber, Tian-Shi Chen, Paolo Ienne, Ling Li, Tao Luo, Xiao-Bing Feng, Yun-Ji Chen, O. Temam

International Symposium on Computer Architecture

DOI

2015

Deterministic Replay

Yun-Ji Chen, Shi-Jin Zhang, Qi Guo, Ling Li, Ruiyang Wu, Tian-Shi Chen

ACM Computing Surveys

DOI

2015

Robust Design Space Modeling

Qi Guo, Tian-Shi Chen, Zhi-Hua Zhou, O. Temam, Ling Li, D. Qian, Yun-Ji Chen

TODE

DOI

2014

Auxiliary stream for optimizing memory access of video decoders

Shaoli Liu, Ling Li, Yun-Ji Chen, Wei-Wu Hu

Science China Information Sciences

DOI

2014

DaDianNao: A Machine-Learning Supercomputer

Yun-Ji Chen, Tao Luo, Shaoli Liu, Shi-Jin Zhang, Li-Qiang He, Jia Wang, Ling Li, Tian-Shi Chen, Zhi-Wei Xu, Ninghui Sun, O. Temam

Micro

DOI

2013

Deterministic Replay Using Global Clock

Yun-Ji Chen, Tian-Shi Chen, Ling Li, Ruiyang Wu, Dao-Fu Liu, Wei-Wu Hu

TACO

DOI

2013

Microarchitectural design space exploration made fast

Qi Guo, Tian-Shi Chen, Yun-Ji Chen, Ling Li, Wei-Wu Hu

Microprocessors and microsystems

DOI

2013

Survey on Partitioning and Scheduling Policies of Shared Resources in Chip-Multiprocessor

Lei Wang, Dao-Fu Liu, Yun-Ji Chen, Tian-Shi Chen, Ling Li

2013

LDet: Determinizing Asynchronous Transfer for Postsilicon Debugging

Yun-Ji Chen, Ling Li, Lei Li, Liang Yang, Menghao Su, Wei-Wu Hu, Tian-Shi Chen

IEEE transactions on computers

DOI

2013

Motion Estimation Without Integer-Pel Search

Ling Li, Shaoli Liu, Yun-Ji Chen, Tian-Shi Chen, Tao Luo

IEEE Transactions on Image Processing

DOI

2012

System and method for optimizing video encoding and decoding access memory

Shaoli Liu, Ling Li, Yun-Ji Chen

2012

Program Regularization in Memory Consistency Verification

Yun-Ji Chen, Lei Li, Tian-Shi Chen, Ling Li, Lei Wang, Xiaoxue Feng, Wei-Wu Hu

IEEE Transactions on Parallel and Distributed Systems

DOI

2012

RepTFD: Replay Based Transient Fault Detection

Lei Li, Tian-Shi Chen, Yun-Ji Chen, Ling Li, Ruiyang Wu

arXiv.org

2012

Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network

Shaoli Liu, Yun-Ji Chen, Tian-Shi Chen, Ling Li, Chao Lu

arXiv.org

2012

DLS: Directoryless Shared Last-level Cache

Dao-Fu Liu, Yun-Ji Chen, Qi Guo, Tian-Shi Chen, Ling Li, Qunfeng Dong, Wei-Wu Hu

arXiv.org

2012

Performance Prediction for Reconfigurable Processor

Dao-Fu Liu, Qi Guo, Tian-Shi Chen, Ling Li, Yun-Ji Chen

2012 IEEE 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems

DOI

2011

Video Encoding without Integer-Pel Motion Estimation

Shaoli Liu, Ling Li, Yun-Ji Chen, Tian-Shi Chen

Data Compression Conference

DOI

2011

Efficient Deterministic Replay Using Complete Race Detection

Qi Guo, Yun-Ji Chen, Tian-Shi Chen, Ling Li

arXiv.org

2011

An FFT Performance Model for Optimizing General-Purpose Processor Architecture

Ling Li, Yun-Ji Chen, Dao-Fu Liu, Cheng Qian, Wei-Wu Hu

精选作品

期刊论文

价值链理论视域下高校出版社做强主题出版的优势、短板与路径

Cambricon-QM: A Hybrid Architecture for Microscaling Format Training

中国“三农”研究自主知识体系建构与涉农期刊的学术自觉

综合性学术期刊的主题化出版模式创新

Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification

Assessing and Understanding Creativity in Large Language Models

OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning

Prompt-based Visual Alignment for Zero-shot Policy Transfer

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

学术期刊出版深度融合发展路径——基于区块链技术的协同创新平台构建

Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators

Pushing the Limits of Machine Design: Automated CPU Design with AI

Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning

Ultra-low Precision Multiplication-free Training for Deep Neural Networks

Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning

Learning controllable elements oriented representations for reinforcement learning

Context Shift Reduction for Offline Meta-Reinforcement Learning

Efficient Symbolic Policy Learning with Differentiable Symbolic Expression

Learning Domain-Aware Detection Head with Prompt Tuning

Conceptual Reinforcement Learning for Language-Conditioned Tasks

Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning

Causality-driven Hierarchical Structure Discovery for Reinforcement Learning

Breaking the Interaction Wall: A DLPU-Centric Deep Learning Computing System

BabelTower: Learning to Auto-parallelized Program Translation

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training

以特色立刊是期刊高质量发展的有效路径——写在《南京农业大学学报(社会科学版)》创刊20周年之际

A Decomposable Winograd Method for N–D Convolution Acceleration in Video Analysis

Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms

Griffin: Rethinking Sparse Optimization for Deep Learning Architectures

Cambricon-Q: A Hybrid Architecture for Efficient Training

Design Space Exploration of Sparse Accelerators for Deep Neural Networks

Machine Learning Computers With Fractal von Neumann Architecture

ParaML: A Polyvalent Multicore Accelerator for Machine Learning

DSNNs: learning transfer from deep neural networks to spiking neural networks

Addressing Irregularity in Sparse Neural Networks Through a Cooperative Software/Hardware Approach

Cambricon-F: Machine Learning Computers with Fractal von Neumann Architecture

Addressing Sparsity in Deep Neural Networks

An Instruction Set Architecture for Machine Learning

Cambricon-S: Addressing Irregularity in Sparse Neural Networks through A Cooperative Software/Hardware Approach

高校学报的差异化发展策略

中国特色智库思想市场的供给侧结构性改革

高校学报网络传播特点及传播力提升——以农业高校学报为例

An Accelerator for High Efficient Vision Processing

DaDianNao: A Neural Network Supercomputer

高効率的視覚処理のための加速器【Powered by NICT】

IMR: High-Performance Low-Cost Multi-Ring NoCs

Cambricon-X: An accelerator for sparse neural networks

FreeRider: Non-Local Adaptive Network-on-Chip Routing with Packet-Carried Propagation of Congestion Information

ShiDianNao: Shifting vision processing closer to the sensor

Deterministic Replay

Robust Design Space Modeling

Auxiliary stream for optimizing memory access of video decoders

DaDianNao: A Machine-Learning Supercomputer

Deterministic Replay Using Global Clock

Microarchitectural design space exploration made fast

Survey on Partitioning and Scheduling Policies of Shared Resources in Chip-Multiprocessor

LDet: Determinizing Asynchronous Transfer for Postsilicon Debugging

Motion Estimation Without Integer-Pel Search

System and method for optimizing video encoding and decoding access memory

Program Regularization in Memory Consistency Verification

RepTFD: Replay Based Transient Fault Detection

Global Adaptive Routing Algorithm Without Additional Congestion Propagation Network

DLS: Directoryless Shared Last-level Cache

Performance Prediction for Reconfigurable Processor

Video Encoding without Integer-Pel Motion Estimation

Efficient Deterministic Replay Using Complete Race Detection

An FFT Performance Model for Optimizing General-Purpose Processor Architecture