Ling Liang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 78

Top Topics

Hierarchical Architecture

Augmented Lagrangian

Top Venues

Ind. Manag. Data Syst.

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

IEEE Trans. Neural Networks Learn. Syst.

Publications

Ling Liang, Kim-Chuan Toh, Jia-Jie Zhu
An Inexact Halpern Iteration with Application to Distributionally Robust Optimization. CoRR (2024)
Shucheng Kang, Xiaoyang Xu, Jay Sarva, Ling Liang, Heng Yang
Fast and Certifiable Trajectory Optimization. CoRR (2024)
Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang
Nesterov's Accelerated Jacobi-Type Methods for Large-scale Symmetric Positive Semidefinite Linear Systems. CoRR (2024)
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
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. CoRR (2024)
Ling Liang, Kim-Chuan Toh, Haizhao Yang
Vertex Exchange Method for a Class of Quadratic Programming Problems. CoRR (2024)
Lei Yang, Ling Liang, Hong T. M. Chu, Kim-Chuan Toh
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. 99 (3) (2024)
Ling Liang, Haizhao Yang
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization. CoRR (2024)
Ling Liang, Jiqing Xie, Jie Ren, Jialiang Wang, Chang Wang
Does transparency facilitate the fundraising capacity of public welfare crowdfunding? An empirical examination on Weibo. Ind. Manag. Data Syst. 124 (5) (2024)
Heng Yang, Ling Liang, Luca Carlone, Kim-Chuan Toh
An inexact projected gradient method with rounding and lifting by nonlinear programming for solving rank-one semidefinite relaxation of polynomial optimization. Math. Program. 201 (1) (2023)
Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. 16 (7) (2023)
Guoshu Dong, Ling Liang, Lihong Wei, Jiaping Xie, Guang Yang
Optimization model of trade credit and asset-based securitization financing in carbon emission reduction supply chain. Ann. Oper. Res. 331 (1) (2023)
Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie
SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (1) (2023)
Weijun Zhu, Jiaping Xie, Yu Xia, Lihong Wei, Ling Liang
Getting more third-party participants on board: Optimal pricing and investment decisions in competitive platform ecosystems. Eur. J. Oper. Res. 307 (1) (2023)
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits 58 (1) (2023)
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. 34 (6) (2023)
Yimao Cai, Yi Gao, Zongwei Wang, Lin Bao, Ling Liang, Qilin Zheng, Cuimei Wang, Ru Huang
Device-Architecture Co-optimization for RRAM-based In-memory Computing. ASICON (2023)
Hong T. M. Chu, Ling Liang, Kim-Chuan Toh, Lei Yang
An efficient implementable inexact entropic proximal point algorithm for a class of linear programming problems. Comput. Optim. Appl. 85 (1) (2023)
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits 58 (6) (2023)
Jianyu Xu, Hanwen Zhang, Ling Liang, Lei Deng, Yuan Xie, Guoqi Li
NP-Hardness of Tensor Network Contraction Ordering. CoRR (2023)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS (2022)
Haicheng Jia, Jing Li, Ling Liang, Weicai Peng, Jiqing Xie, Jiaping Xie
Advance selling of uncertain demand in low-carbon supply chain. Ind. Manag. Data Syst. 122 (12) (2022)
Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
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 (2022)
Quoc Tran-Dinh, Ling Liang, Kim-Chuan Toh
A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization. Math. Oper. Res. 47 (1) (2022)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA (2022)
Zhaohong Deng, Ruixiu Liu, Peng Xu, Kup-Sze Choi, Wei Zhang, Xiaobin Tian, Te Zhang, Ling Liang, Bin Qin, Shitong Wang
Multi-View Clustering With the Cooperation of Visible and Hidden Views. IEEE Trans. Knowl. Data Eng. 34 (2) (2022)
Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC (2022)
Ling Liang, Xudong Li, Defeng Sun, Kim-Chuan Toh
QPPAL: A Two-phase Proximal Augmented Lagrangian Method for High-dimensional Convex Quadratic Programming Problems. ACM Trans. Math. Softw. 48 (3) (2022)
Zheng Qu, Lei Deng, Bangyan Wang, Hengnu Chen, Jilan Lin, Ling Liang, Guoqi Li, Zheng Zhang, Yuan Xie
Hardware-Enabled Efficient Data Processing With Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (2) (2022)
Ling Liang, Zhaodong Chen, Lei Deng, Fengbin Tu, Guoqi Li, Yuan Xie
Accelerating Spatiotemporal Supervised Training of Large-Scale Spiking Neural Networks on GPU. DATE (2022)
Zhaohong Deng, Ling Liang, Hongtan Yang, Wei Zhang, Qiongdan Lou, Kup-Sze Choi, Te Zhang, Jin Zhou, Shitong Wang
Enhanced Multiview Fuzzy Clustering Using Double Visible-Hidden View Cooperation and Network LASSO Constraint. IEEE Trans. Fuzzy Syst. 30 (11) (2022)
Ching-pei Lee, Ling Liang, Tianyun Tang, Kim-Chuan Toh
Escaping Spurious Local Minima of Low-Rank Matrix Factorization Through Convex Lifting. CoRR (2022)
Ying Cui, Ling Liang, Defeng Sun, Kim-Chuan Toh
On Degenerate Doubly Nonnegative Projection Problems. Math. Oper. Res. 47 (3) (2022)
Jing Li, Ling Liang, Jiqing Xie, Jiaping Xie
Manufacture's entry and green strategies with carbon trading policy. Comput. Ind. Eng. 171 (2022)
Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR (2022)
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (4) (2022)
Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie
A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers 71 (12) (2022)
Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. 32 (1) (2021)
Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie
SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. HPCA (2021)
Ling Liang, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yujie Wu, Lei Deng, Guoqi Li, Peng Li, Yuan Xie
H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks. CoRR (2021)
Hengnu Chen, Lei Deng, Zheng Qu, Ling Liang, Tianyi Yan, Yuan Xie, Guoqi Li
Tensor train decomposition for solving large-scale linear equations. Neurocomputing 464 (2021)
Hussam Amrouch, Jian-Jia Chen, Kaushik Roy, Yuan Xie, Indranil Chakraborty, Wenqin Huangfu, Ling Liang, Fengbin Tu, Cheng Wang, Mikail Yayla
Brain-Inspired Computing: Adventure from Beyond CMOS Technologies to Beyond von Neumann Architectures ICCAD Special Session Paper. ICCAD (2021)
Ling Liang, Lin Tian, Jiaping Xie, Jianhong Xu, Weisi Zhang
Optimal pricing model of car-sharing: market pricing or platform pricing. Ind. Manag. Data Syst. 121 (3) (2021)
Gulizhaer Aisaiti, Ling Liang, Luhao Liu, Jiaping Xie, Tingting Zhang
How social enterprises gain cognitive legitimacy in the post-pandemic period? Social welfare logic and digital transformation. Ind. Manag. Data Syst. 121 (12) (2021)
Ling Liang, Defeng Sun, Kim-Chuan Toh
An Inexact Augmented Lagrangian Method for Second-Order Cone Programming with Applications. SIAM J. Optim. 31 (3) (2021)
Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie
Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. 15 (3) (2021)
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
SEALing Neural Network Models in Encrypted Deep Learning Accelerators. DAC (2021)
Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS (2021)
Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. CoRR (2021)
Heng Yang, Ling Liang, Kim-Chuan Toh, Luca Carlone
STRIDE along Spectrahedral Vertices for Solving Large-Scale Rank-One Semidefinite Relaxations. CoRR (2021)
Weihua Li, Quan Bai, Ling Liang, Yi Yang, Yuxuan Hu, Minjie Zhang
Social influence minimization based on context-aware multiple influences diffusion model. Knowl. Based Syst. 227 (2021)
Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie
Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (6) (2021)
Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie
Rethinking the performance comparison between SNNS and ANNS. Neural Networks 121 (2020)
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
HyGCN: A GCN Accelerator with Hybrid Architecture. HPCA (2020)
Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR (2020)
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
Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits 55 (8) (2020)
Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS (2020)
Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR (2020)
Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li
SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (1) (2020)
Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
HyGCN: A GCN Accelerator with Hybrid Architecture. CoRR (2020)
Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
SEALing Neural Network Models in Secure Deep Learning Accelerators. CoRR (2020)
Jiaping Xie, Jing Li, Ling Liang, Xu Fang, Guang Yang, Lihong Wei
Contracting Emissions Reduction Supply Chain Based on Market Low-Carbon Preference and Carbon Intensity Constraint. Asia Pac. J. Oper. Res. 37 (2) (2020)
Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR (2019)
Lingcheng Kong, Ling Liang, Jianhong Xu, Weisi Zhang, Weijun Zhu
The optimization of pricing strategy for the wind power equipment aftermarket service. Ind. Manag. Data Syst. 119 (3) (2019)
Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR (2019)
Zhaohong Deng, Chen Cui, Peng Xu, Ling Liang, Haoran Chen, Te Zhang, Shitong Wang
Multi-View Fuzzy Clustering with The Alternative Learning between Shared Hidden Space and Partition. CoRR (2019)
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
Crossbar-aware neural network pruning. CoRR (2018)
Jiaping Xie, Yu Xia, Ling Liang, Weisi Zhang, Minghong Shi
Pricing strategy for renewable energy source electricity in the competitive hybrid electricity market. Ind. Manag. Data Syst. 118 (5) (2018)
Yu Ji, Ling Liang, Lei Deng, Youyang Zhang, Youhui Zhang, Yuan Xie
TETRIS: TilE-matching the TRemendous Irregular Sparsity. NeurIPS (2018)
Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
Crossbar-Aware Neural Network Pruning. IEEE Access 6 (2018)
Keliang Zhou, Taigang Liu, Ling Liang
Security in cyber-physical systems: challenges and solutions. Int. J. Auton. Adapt. Commun. Syst. 10 (4) (2017)
Lingcheng Kong, Zhong Li, Ling Liang, Jiaping Xie
RES-E capacity investment under uncertain renewable energy supply and volatile electricity spot price. Ind. Manag. Data Syst. 117 (6) (2017)
Ling Liang, Jiaping Xie, Luhao Liu, Yu Xia
Revenue sharing contract coordination of wind turbine order policy and aftermarket service based on joint effort. Ind. Manag. Data Syst. 117 (2) (2017)
Xiang Yu, Ling Liang, Ruonan Zhou, Roopak Sinha
A software architecture for energy consumption optimization in location-based mobile applications. IECON (2017)
Jiaping Xie, Zhong Li, Yu Xia, Ling Liang, Weisi Zhang
Optimizing capacity investment on renewable energy source supply chain. Comput. Ind. Eng. 107 (2017)
Keliang Zhou, Taigang Liu, Ling Liang
From cyber-physical systems to Industry 4.0: make future manufacturing become possible. Int. J. Manuf. Res. 11 (2) (2016)
Jiaping Xie, Zhong June Li, Yong Yao, Ling Liang
Dynamic acquisition pricing policy under uncertain remanufactured-product demand. Ind. Manag. Data Syst. 115 (3) (2015)
Keliang Zhou, Binbin Liu, Cen Ye, Ling Liang
Design Support Tools of Cyber-Physical Systems. CloudComp (2013)
Hongtu Ma, Rongcai Zhao, Ling Liang, Xun Li
A Multi-variable Algorithm for Placing Phi-nodes. ACIS-ICIS (2009)