Ling Liang

121 papers A* 13A 4B 1C 2Journal 91Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Deployment-Friendly Foundational Framework for Efficient Computational Pathology.
CoRR
Yu Cai, Cheng Jin, Jiabo Ma, Fengtao Zhou, Yingxue Xu, Zhengrui Guo, Yihui Wang, Zhengyu Zhang, Ling Liang, Yonghao Tan, Pingcheng Dong, Du Cai, On Ki Tang, Chenglong Zhao, Xi Wang, Can Yang, Yali Xu, Jing Cui, Zhenhui Li, Ronald Cheong Kin Chan, Yueping Liu, Feng Gao, Xiuming Zhang, Li Liang, Hao Chen, Kwang-Ting Cheng
2026 J jnl
Fast and Effective Computation of Generalized Symmetric Matrix Factorization.
CoRR
Lei Yang, Han Wan, Min Zhang, Ling Liang
2026 — conf
FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption.
ASP-DAC
Shangyi Shi, Husheng Han, Jianan Mu, Xinyao Zheng, Ling Liang, Hang Lu, Zidong Du, Xiaowei Li, Xing Hu
2026 J jnl
eBrainISA: Edge-Oriented Instruction Set Architecture for Hybrid Brain-Inspired Computing.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaojun Qi, Yujie Ying, Zhong Zheng, Ziyi Yang, Ling Liang, Zegang Peng, Yifan Hu, Siying Liu, Zhuo Zou, Lei Deng
2025 J jnl
A Sanity Check for Multi-In-Domain Face Forgery Detection in the Real World.
CoRR
Jikang Cheng, Renye Yan, Zhiyuan Yan, Yaozhong Gan, Xueyi Zhang, Zhongyuan Wang, Wei Peng, Ling Liang
2025 J jnl
A Squared Smoothing Newton Method for Semidefinite Programming.
Math. Oper. Res.
Ling Liang, Defeng Sun, Kim-Chuan Toh
2025 J jnl
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization.
J. Optim. Theory Appl.
Ling Liang, Zusen Xu, Kim-Chuan Toh, Jia-Jie Zhu
2025 J jnl
Computing one-bit compressive sensing via zero-norm regularized DC loss model and its surrogate.
J. Glob. Optim.
Kai Chen, Ling Liang, Shaohua Pan
2025 — conf
English Learning Demotivation among Private College English Majors: A Random Forest-Based Study.
ICAIE
Ling Liang, Siyang Zhu
2025 A conf
FLASH: An Efficient Hardware Accelerator Leveraging Approximate and Sparse FFT for Homomorphic Encryption.
DATE
Tengyu Zhang, Yufei Xue, Ling Liang, Zhen Gu, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2025 J jnl
FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption.
CoRR
Shangyi Shi, Husheng Han, Jianan Mu, Xinyao Zheng, Ling Liang, Hang Lu, Zidong Du, Xiaowei Li, Xing Hu, Qi Guo
2025 J jnl
From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs.
CoRR
Rohan Bhatnagar, Ling Liang, Krish Patel, Haizhao Yang
2025 A* conf
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference.
DAC
Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
2025 J jnl
HybriMoE: Hybrid CPU-GPU Scheduling and Cache Management for Efficient MoE Inference.
CoRR
Shuzhang Zhong, Yanfan Sun, Ling Liang, Runsheng Wang, Ru Huang, Meng Li
2025 J jnl
Image Security Acquisition and Efficient Transmission Algorithm Based on Deep Learning and Neural Network.
EAI Endorsed Trans. Scalable Inf. Syst.
Jianwei Ma, Jing Luo, Zhongqiang Zhou, Yusong Huang, Ling Liang, Chan Wang, Zhencheng Li
2025 A* conf
Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing.
MICRO
Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li
2025 J jnl
Ironman: Accelerating Oblivious Transfer Extension for Privacy-Preserving AI with Near-Memory Processing.
CoRR
Chenqi Lin, Kang Yang, Tianshi Xu, Ling Liang, Yufei Wang, Zhaohui Chen, Runsheng Wang, Mingyu Gao, Meng Li
2025 J jnl
Matrix: Multi-Cipher Structures Dataflow for Parallel and Pipelined TFHE Accelerator.
ACM Trans. Archit. Code Optim.
Ling Liang, Zhen Gu, Fahong Zhang, Zhaohui Chen, Zhirui Li, Xin Fan, Dimin Niu, Meng Li, Zhiyong Li, Zongwei Wang, Hongzhong Zheng, Yimao Cai, Yuan Xie
2025 J jnl
Nesterov's Accelerated Jacobi-Type Methods for Large-Scale Symmetric Positive Semidefinite Linear Systems.
SIAM J. Sci. Comput.
Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang
2025 J jnl
NewVEM: A Newton Vertex Exchange Method for a Class of Constrained Self-Concordant Minimization Problems.
J. Sci. Comput.
Ling Liang, Kim-Chuan Toh, Haizhao Yang
2025 J jnl
OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents.
CoRR
Raghav Thind, Youran Sun, Ling Liang, Haizhao Yang
2025 J jnl
PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport.
CoRR
Di Wu, Ling Liang, Haizhao Yang
2025 — conf
PROMPT: Prediction Model for RRAM Programming Optimized by Adaptive Mechanism and Progressive Continuous Transformation.
MLCAD
Yanxing Guo, Ling Liang, Zihao Zheng, Zezhi Cheng, Yuhang Yang, Linbo Shan, Zongwei Wang, Yimao Cai
2025 J jnl
Performance evaluation and optimization of distributed collaborative operation and maintenance control platform based on information processing.
Intell. Decis. Technol.
Jianwei Ma, Tongfu Fu, Wenhua Wang, Zhongqiang Zhou, Ling Liang
2025 C conf
SA-CIM: A 28nm 16Mb RRAM-based Sparsity-Aware Compute-In-Memory Macro for Edge AI Algorithm Processing.
ISCAS
Hao Ding, Zongwei Wang, Jinshan Li, Shigeng Zhao, Heting Gao, Junbo Ao, Ling Liang, Yimao Cai, Ru Huang
2025 A* conf
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients.
CVPR
Li Lun, Kunyu Feng, Qinglong Ni, Ling Liang, Yuan Wang, Ying Li, Dunshan Yu, Xiaoxin Cui
2025 J jnl
Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients.
CoRR
Li Lun, Kunyu Feng, Qinglong Ni, Ling Liang, Yuan Wang, Ying Li, Dunshan Yu, Xiaoxin Cui
2024 J jnl
A Corrected Inexact Proximal Augmented Lagrangian Method with a Relative Error Criterion for a Class of Group-Quadratic Regularized Optimal Transport Problems.
J. Sci. Comput.
Lei Yang, Ling Liang, Hong T. M. Chu, Kim-Chuan Toh
2024 A* conf
A High-Throughput Private Inference Engine Based on 3D Stacked Memory.
DAC
Zhaohui Chen, Ling Liang, Qi Liu, Zhirui Li, Fahong Zhang, Yanheng Lu, Zhen Gu
2024 J jnl
A Sparse Smoothing Newton Method for Solving Discrete Optimal Transport Problems.
ACM Trans. Math. Softw.
Di Hou, Ling Liang, Kim-Chuan Toh
2024 J jnl
Accelerating Multi-Block Constrained Optimization Through Learning to Optimize.
CoRR
Ling Liang, Cameron Austin, Haizhao Yang
2024 J jnl
Accelerating Nuclear-norm Regularized Low-rank Matrix Optimization Through Burer-Monteiro Decomposition.
J. Mach. Learn. Res.
Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh
2024 J jnl
AdaMemento: Adaptive Memory-Assisted Policy Optimization for Reinforcement Learning.
CoRR
Renye Yan, Yaozhong Gan, You Wu, Junliang Xing, Ling Liang, Yeshang Zhu, Yimao Cai
2024 A conf
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference.
ICCAD
Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024 J jnl
AdapMoE: Adaptive Sensitivity-based Expert Gating and Management for Efficient MoE Inference.
CoRR
Shuzhang Zhong, Ling Liang, Yuan Wang, Runsheng Wang, Ru Huang, Meng Li
2024 J jnl
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization.
CoRR
Ling Liang, Kim-Chuan Toh, Jia-Jie Zhu
2024 B conf
Autoencoder Reconstruction Model for Long-Horizon Exploration.
IJCNN
Renye Yan, You Wu, Yaozhong Gan, Yunfan Yang, Zhaoke Yu, Zongxi Liu, Xin Zhang, Ling Liang, Yimao Cai
2024 A* conf
Bridging Gaps in LLM Code Translation: Reducing Errors with Call Graphs and Bridged Debuggers.
ASE
Yang Luo, Richard Yu, Fajun Zhang, Ling Liang, Yongqiang Xiong
2024 J jnl
CopyLens: Dynamically Flagging Copyrighted Sub-Dataset Contributions to LLM Outputs.
CoRR
Qichao Ma, Rui-Jie Zhu, Peiye Liu, Renye Yan, Fahong Zhang, Ling Liang, Meng Li, Zhaofei Yu, Zongwei Wang, Yimao Cai, Tiejun Huang
2024 J jnl
Does transparency facilitate the fundraising capacity of public welfare crowdfunding? An empirical examination on Weibo.
Ind. Manag. Data Syst.
Ling Liang, Jiqing Xie, Jie Ren, Jialiang Wang, Chang Wang
2024 J jnl
Fast and Certifiable Trajectory Optimization.
CoRR
Shucheng Kang, Xiaoyang Xu, Jay Sarva, Ling Liang, Heng Yang
2024 — conf
Invited Paper: Design of an RRAM In-Memory Computing Scheme for Target Tracking Applications.
ICTA
Haoyang Gu, Zongwei Wang, Jinshan Li, Hao Ding, Linbo Shan, Lin Bao, Ling Liang, Yimao Cai, Ru Huang
2024 J jnl
Nesterov's Accelerated Jacobi-Type Methods for Large-scale Symmetric Positive Semidefinite Linear Systems.
CoRR
Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang
2024 J jnl
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization.
CoRR
Ling Liang, Haizhao Yang
2024 J jnl
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization.
Trans. Mach. Learn. Res.
Ling Liang, Haizhao Yang
2024 — conf
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.
ASPLOS (4)
Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, TianYun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu
2024 J jnl
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing.
CoRR
Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, TianYun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu
2024 J jnl
The Exploration-Exploitation Dilemma Revisited: An Entropy Perspective.
CoRR
Renye Yan, Yaozhong Gan, You Wu, Ling Liang, Junliang Xing, Yimao Cai, Ru Huang
2024 J jnl
Vertex Exchange Method for a Class of Quadratic Programming Problems.
CoRR
Ling Liang, Kim-Chuan Toh, Haizhao Yang
2023 J jnl
An efficient implementable inexact entropic proximal point algorithm for a class of linear programming problems.
Comput. Optim. Appl.
Hong T. M. Chu, Ling Liang, Kim-Chuan Toh, Lei Yang
2023 J jnl
An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization.
Math. Program.
Heng Yang, Ling Liang, Luca Carlone, Kim-Chuan Toh
2023 J jnl
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.
IEEE Trans. Neural Networks Learn. Syst.
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
2023 — conf
Device-Architecture Co-optimization for RRAM-based In-memory Computing.
ASICON
Yimao Cai, Yi Gao, Zongwei Wang, Lin Bao, Ling Liang, Qilin Zheng, Cuimei Wang, Ru Huang
2023 J jnl
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient.
IEEE Trans. Neural Networks Learn. Syst.
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
2023 J jnl
Getting more third-party participants on board: Optimal pricing and investment decisions in competitive platform ecosystems.
Eur. J. Oper. Res.
Weijun Zhu, Jiaping Xie, Yu Xia, Lihong Wei, Ling Liang
2023 J jnl
NP-Hardness of Tensor Network Contraction Ordering.
CoRR
Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li
2023 J jnl
Optimization model of trade credit and asset-based securitization financing in carbon emission reduction supply chain.
Ann. Oper. Res.
Guoshu Dong, Ling Liang, Lihong Wei, Jiaping Xie, Guang Yang
2023 J jnl
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration.
IEEE J. Solid State Circuits
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2023 J jnl
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie
2023 J jnl
SPG: Structure-Private Graph Database via SqueezePIR.
Proc. VLDB Endow.
Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2023 J jnl
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes.
IEEE J. Solid State Circuits
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022 — conf
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes.
ISSCC
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022 — conf
A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration.
ISSCC
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022 J jnl
A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization.
Math. Oper. Res.
Quoc Tran-Dinh, Ling Liang, Kim-Chuan Toh
2022 J jnl
A Systematic View of Model Leakage Risks in Deep Neural Network Systems.
IEEE Trans. Computers
Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie
2022 A conf
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU.
DATE
Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie
2022 J jnl
Advance selling of uncertain demand in low-carbon supply chain.
Ind. Manag. Data Syst.
Haicheng Jia, Jing Li, Ling Liang, Weicai Peng, Jiqing Xie, Jiaping Xie
2022 J jnl
Enhanced Multiview Fuzzy Clustering Using Double Visible-Hidden View Cooperation and Network LASSO Constraint.
IEEE Trans. Fuzzy Syst.
Zhaohong Deng, Ling Liang, Hongtan Yang, Wei Zhang, Qiongdan Lou, Kup-Sze Choi, Te Zhang, Jin Zhou, Shitong Wang
2022 J jnl
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting.
CoRR
Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh
2022 J jnl
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
2022 J jnl
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie
2022 A* conf
INSPIRE: in-storage private information retrieval via protocol and architecture co-design.
ISCA
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2022 J jnl
Manufacture's entry and green strategies with carbon trading policy.
Comput. Ind. Eng.
Jing Li, Ling Liang, Jiqing Xie, Jiaping Xie
2022 J jnl
Multi-View Clustering With the Cooperation of Visible and Hidden Views.
IEEE Trans. Knowl. Data Eng.
Zhaohong Deng, Ruixiu Liu, Peng Xu, Kup-Sze Choi, Wei Zhang, Xiaobin Tian, Te Zhang, Ling Liang, Bin Qin, Shitong Wang
2022 J jnl
On Degenerate Doubly Nonnegative Projection Problems.
Math. Oper. Res.
Ying Cui, Ling Liang, Defeng Sun, Kim-Chuan Toh
2022 J jnl
QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems.
ACM Trans. Math. Softw.
Ling Liang, Xudong Li, Defeng Sun, Kim-Chuan Toh
2022 J jnl
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
2022 A* conf
Toward Robust Spiking Neural Network Against Adversarial Perturbation.
NeurIPS
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
2022 J jnl
Toward Robust Spiking Neural Network Against Adversarial Perturbation.
CoRR
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
2021 J jnl
An Inexact Augmented Lagrangian Method for Second-Order Cone Programming with Applications.
SIAM J. Optim.
Ling Liang, Defeng Sun, Kim-Chuan Toh
2021 A conf
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper.
ICCAD
Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
2021 J jnl
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation.
IEEE Trans. Neural Networks Learn. Syst.
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
2021 J jnl
Fast Search of the Optimal Contraction Sequence in Tensor Networks.
IEEE J. Sel. Top. Signal Process.
Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie
2021 J jnl
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks.
CoRR
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
2021 J jnl
How social enterprises gain cognitive legitimacy in the post-pandemic period? Social welfare logic and digital transformation.
Ind. Manag. Data Syst.
Gulizhaer Aisaiti, Ling Liang, Luhao Liu, Jiaping Xie, Tingting Zhang
2021 J jnl
Optimal pricing model of car-sharing: market pricing or platform pricing.
Ind. Manag. Data Syst.
Ling Liang, Lin Tian, Jiaping Xie, Jianhong Xu, Weisi Zhang
2021 J jnl
Practical Attacks on Deep Neural Networks by Memory Trojaning.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie
2021 A* conf
SEALing Neural Network Models in Encrypted Deep Learning Accelerators.
DAC
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
2021 J jnl
STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations.
CoRR
Heng Yang, Ling Liang, Kim-Chuan Toh, Luca Carlone
2021 A* conf
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers.
NeurIPS
Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
2021 J jnl
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers.
CoRR
Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
2021 J jnl
Social influence minimization based on context-aware multiple influences diffusion model.
Knowl. Based Syst.
Weihua Li, Quan Bai, Ling Liang, Yi Yang, Yuxuan Hu, Minjie Zhang
2021 A* conf
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator.
HPCA
Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie
2021 J jnl
Tensor train decomposition for solving large-scale linear equations.
Neurocomputing
Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li
2020 J jnl
Contracting Emissions Reduction Supply Chain Based on Market Low-Carbon Preference and Carbon Intensity Constraint.
Asia Pac. J. Oper. Res.
Jiaping Xie, Jing Li, Ling Liang, Xu Fang, Guang Yang, Lihong Wei
2020 A* conf
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.
ASPLOS
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2020 J jnl
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient.
CoRR
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
2020 A* conf
HyGCN: A GCN Accelerator with Hybrid Architecture.
HPCA
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2020 J jnl
HyGCN: A GCN Accelerator with Hybrid Architecture.
CoRR
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2020 J jnl
Rethinking the performance comparison between SNNS and ANNS.
Neural Networks
Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie
2020 J jnl
Rubik: A Hierarchical Architecture for Efficient Graph Learning.
CoRR
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
2020 J jnl
SEALing Neural Network Models in Secure Deep Learning Accelerators.
CoRR
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
2020 J jnl
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li
2020 J jnl
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation.
IEEE J. Solid State Circuits
Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
2019 J jnl
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization.
CoRR
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
2019 J jnl
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition.
CoRR
Zhaohong Deng, Chen Cui, Peng Xu, Ling Liang, Haoran Chen, Te Zhang, Shitong Wang
2019 J jnl
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.
CoRR
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2019 J jnl
The optimization of pricing strategy for the wind power equipment aftermarket service.
Ind. Manag. Data Syst.
Lingcheng Kong, Ling Liang, Jianhong Xu, Weisi Zhang, Weijun Zhu
2018 J jnl
Crossbar-Aware Neural Network Pruning.
IEEE Access
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
2018 J jnl
Crossbar-aware neural network pruning.
CoRR
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
2018 J jnl
Pricing strategy for renewable energy source electricity in the competitive hybrid electricity market.
Ind. Manag. Data Syst.
Jiaping Xie, Yu Xia, Ling Liang, Weisi Zhang, Minghong Shi
2018 A* conf
TETRIS: TilE-matching the TRemendous Irregular Sparsity.
NeurIPS
Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie
2017 C conf
A software architecture for energy consumption optimization in location-based mobile applications.
IECON
Xiang Yu, Ling Liang, Ruonan Zhou, Roopak Sinha
2017 J jnl
Optimizing capacity investment on renewable energy source supply chain.
Comput. Ind. Eng.
Jiaping Xie, Zhong Li, Yu Xia, Ling Liang, Weisi Zhang
2017 J jnl
RES-E capacity investment under uncertain renewable energy supply and volatile electricity spot price.
Ind. Manag. Data Syst.
Lingcheng Kong, Zhong Li, Ling Liang, Jiaping Xie
2017 J jnl
Revenue sharing contract coordination of wind turbine order policy and aftermarket service based on joint effort.
Ind. Manag. Data Syst.
Ling Liang, Jiaping Xie, Luhao Liu, Yu Xia
2017 J jnl
Security in cyber-physical systems: challenges and solutions.
Int. J. Auton. Adapt. Commun. Syst.
Keliang Zhou, Taigang Liu, Ling Liang
2016 J jnl
From cyber-physical systems to Industry 4.0: make future manufacturing become possible.
Int. J. Manuf. Res.
Keliang Zhou, Taigang Liu, Ling Liang
2015 J jnl
Dynamic acquisition pricing policy under uncertain remanufactured-product demand.
Ind. Manag. Data Syst.
Jiaping Xie, Zhong June Li, Yong Yao, Ling Liang
2013 — conf
Design Support Tools of Cyber-Physical Systems.
CloudComp
Keliang Zhou, Binbin Liu, Cen Ye, Ling Liang
2009 — conf
A Multi-variable Algorithm for Placing Phi-nodes.
ACIS-ICIS
Hongtu Ma, Rongcai Zhao, Ling Liang, Xun Li