Ziang Chen

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 46

Top Topics

Top Venues

SIAM J. Matrix Anal. Appl.

Publications

Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
On the Convergence of Sobolev Gradient Flow for the Gross-Pitaevskii Eigenvalue Problem. SIAM J. Numer. Anal. 62 (2) (2024)
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Stochastic Gradient Langevin Unlearning. CoRR (2024)
Ziang Chen, Jialin Liu, Xiaohan Chen, Xinshang Wang, Wotao Yin
Rethinking the Capacity of Graph Neural Networks for Branching Strategy. CoRR (2024)
Eli Chien, Haoyu Wang, Ziang Chen, Pan Li
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning. CoRR (2024)
Jun Huang, Ziang Chen, Yong Ma, Fan Fan, Linfeng Tang, Xinyu Xiang
PTET: A progressive token exchanging transformer for infrared and visible image fusion. Image Vis. Comput. 144 (2024)
Linfeng Tang, Ziang Chen, Jun Huang, Jiayi Ma
CAMF: An Interpretable Infrared and Visible Image Fusion Network Based on Class Activation Mapping. IEEE Trans. Multim. 26 (2024)
Feng Liu, Xianyue Zhao, Ziang Chen, Christopher Bengel, Nan Du, Stephan Menzel
Realization of Reading-based Ternary Łukasiewicz Logic using Memristive Devices. ISCAS (2024)
Ning Li, Xingjiang Chen, Ziang Chen, Lulu Jiang, Li Wang, Jincai Huang, Guangquan Cheng
Construction of key parameter change model of human-computer interaction for intelligent decision-making under the condition of long time voyage. Evol. Intell. 17 (1) (2024)
Ziang Chen, Xiaohan Chen, Jialin Liu, Xinshang Wang, Wotao Yin
Expressive Power of Graph Neural Networks for (Mixed-Integer) Quadratic Programs. CoRR (2024)
Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
Fully discretized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. CoRR (2024)
Ziang Chen, Rong Ge
Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input. CoRR (2024)
Tianyu Cui, Shiyu Ma, Ziang Chen, Tong Xiao, Shimin Tao, Yilun Liu, Shenglin Zhang, Duoming Lin, Changchang Liu, Yuzhe Cai, Weibin Meng, Yongqian Sun, Dan Pei
LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis. CoRR (2024)
Ziang Chen, Jianfeng Lu, Anru Zhang
One-Dimensional Tensor Network Recovery. SIAM J. Matrix Anal. Appl. 45 (3) (2024)
Li-Wei Chen, Xianyue Zhao, Ziang Chen, Nan Du, Ilia Polian
Side-channel Attacks on Memristive Circuits Under External Disturbances. ATS (2023)
Li-Wei Chen, Ziang Chen, Werner Schindler, Xianyue Zhao, Heidemarie Schmidt, Nan Du, Ilia Polian
On Side-Channel Analysis of Memristive Cryptographic Circuits. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Sebastian Brandhofer, Ziang Chen, Li-Wei Chen, Xianyue Zhao, Nan Du, Ilia Polian
Exploring Gate-Diversity Enabled by Reconfigurable Memristive Technology. ICECS (2023)
Feng Liu, Xianyue Zhao, Ziang Chen, Christopher Bengel, Nan Du, Stephan Menzel
Realization of Ternary Łukasiewicz Logic using BiFeO3-based Memristive Devices. ICECS (2023)
Ziang Chen, Li-Wei Chen, Xianyue Zhao, Kefeng Li, Heidemarie Schmidt, Ilia Polian, Nan Du
Power-balanced Memristive Cryptographic Implementation Against Side Channel Attacks. CoRR (2023)
Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
On Representing Linear Programs by Graph Neural Networks. ICLR (2023)
Ziang Chen, Yingzhou Li, Jianfeng Lu
On the Global Convergence of Randomized Coordinate Gradient Descent for Nonconvex Optimization. SIAM J. Optim. 33 (2) (2023)
Ziang Chen, Jianfeng Lu, Huajie Qian, Xinshang Wang, Wotao Yin
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent. AISTATS (2023)
Christopher Bengel, Feng Liu, Ziang Chen, Xianyue Zhao, Rainer Waser, Heidemarie Schmidt, Nan Du, Stephan Menzel
Ternary Łukasiewicz logic using memristive devices. Neuromorph. Comput. Eng. 3 (4) (2023)
Ziang Chen, Jianfeng Lu, Yulong Lu, Xiangxiong Zhang
On the convergence of Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem. CoRR (2023)
Mingyang Zhao, Ziang Chen, Jian Zhang, Yaoyao Chen, Ying Wang, Lijun Xu, Jing Zhong, Shijie Sun
Image Reconstruction Based on Newton-Raphson Method for Magnetic Particle Imaging. IST (2023)
Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
On Representing Mixed-Integer Linear Programs by Graph Neural Networks. ICLR (2023)
Xiao Li, Ziang Chen
Exploiting community and structural hole spanner for influence maximization in social networks. Expert Syst. J. Knowl. Eng. 40 (10) (2023)
Ziang Chen, Jianfeng Lu, Anru R. Zhang
One-dimensional Tensor Network Recovery. CoRR (2022)
Ziang Chen, Jianfeng Lu, Yulong Lu, Shengxuan Zhou
in Spectral Barron Spaces. CoRR (2022)
Hao Cai, Ziang Chen, Xianyue Zhao, Christopher Bengel, Feng Liu, Heidemarie Schmidt, Stephan Menzel, Nan Du
Realization of Memristor-aided Logic Gates with Analog Memristive Devices. MOCAST (2022)
Sahitya Yarragolla, Nan Du, Torben Hemke, Xianyue Zhao, Ziang Chen, Ilia Polian, Thomas Mussenbrock
Physics inspired compact modelling of BiFeO$_3$ based memristors for hardware security applications. CoRR (2022)
Chi Zhang, Si Li, Yulin Zhang, Xin Wang, Jin Liang, Yang Yu, Liang Zhang, Chao Yang, Ziang Chen, Qianfei Chen
Study on the Sailors' Athletic Ability Change Rule of Long-Time Simulated Voyage. HCI (18) (2022)
Ziang Chen, Juanfang Xu, Zheng Liu, Zhongliang Wei, Miaosen Gong
Participatory Design of External HMI Based on Explicit Human-Vehicle Interaction Features. DSIE (2022)
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
On Representing Linear Programs by Graph Neural Networks. CoRR (2022)
Zhenchao Cui, Ziang Chen, Zhaoxin Li, Zhaoqi Wang
A Pyramid Semi-Autoregressive Transformer with Rich Semantics for Sign Language Production. Sensors 22 (24) (2022)
Zhenchao Cui, Ziang Chen, Zhaoxin Li, Zhaoqi Wang
Spatial-Temporal Graph Transformer With Sign Mesh Regression for Skinned-Based Sign Language Production. IEEE Access 10 (2022)
Ziang Chen, Chao Yang, Kaili Yin
Influence of color lightness change on personnel identification performance in ship background environment for a long time. EITCE (2022)
Ziang Chen
Dual reparametrized Variational Generative Model for Time-Series Forecasting. CoRR (2022)
Ziang Chen, Jialin Liu, Xinshang Wang, Jianfeng Lu, Wotao Yin
On Representing Mixed-Integer Linear Programs by Graph Neural Networks. CoRR (2022)
Ziang Chen, Jianfeng Lu, Yulong Lu
On the Representation of Solutions to Elliptic PDEs in Barron Spaces. NeurIPS (2021)
Ziang Chen, Yingzhou Li, Jianfeng Lu
On the global convergence of randomized coordinate gradient descent for non-convex optimization. CoRR (2021)
Xingjiang Chen, Ning Li, Yanghe Feng, Ziang Chen, Lulu Jiang, Li Wang
Updating Parameters of Fitts' Law Based on Multi Monitor Command and Control System. AHFE (7) (2021)
Ziang Chen, Jianfeng Lu, Yulong Lu
On the Representation of Solutions to Elliptic PDEs in Barron Spaces. CoRR (2021)
Jiayan Wang, Ziang Chen, Juchuan Niu, Yonggang Zhang
AABC: ALBERT-BiLSTM-CRF Combining with Adapters. KSEM (2021)
Ziang Chen, Yingzhou Li, Jianfeng Lu
Tensor Ring Decomposition: Optimization Landscape and One-loop Convergence of Alternating Least Squares. SIAM J. Matrix Anal. Appl. 41 (3) (2020)
Ning Li, Tuoyang Zhou, Jinshou Shi, Ziang Chen, Jincai Huang, Yanghe Feng
Research on Eye Movement Parameters of Command and Control System Operator Based on Emma Model. AHFE (7) (2020)
Kaili Yin, Yingwei Zhou, Ning Li, Ziang Chen, Jinshou Shi
Study on Eye Movement Behavior of Interface Complexity. IHSED (2019)
Ziang Chen, Yat-To Wong, Tak-Sang Yim, Wing-Hung Ki
A 12A 50V half-bridge gate driver for enhancement-mode GaN HEMTs with digital dead-time correction. ISCAS (2015)