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ORCIDXiuwen Liu 0001
Person information
- affiliation: Florida State University, Department of Computer Science, Tallahassee, FL, USA
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2020 – today
- 2026
[j12]Samuel Jacob Chacko
, Sajib Biswas, Chashi Mahiul Islam, Fatema Tabassum Liza, Xiuwen Liu:
Adversarial attacks on large language models using regularized relaxation. Inf. Sci. 736: 123112 (2026)- 2025
- [j11]Yuanhang Shao, Xiuwen Liu:
Nonlinear Correct and Smooth for Graph-Based Semi-Supervised Learning. ACM Trans. Knowl. Discov. Data 19(3): 60:1-60:32 (2025) - [c37]Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu:
Adversarial Attack on Large Language Models using Exponentiated Gradient Descent. IJCNN 2025: 1-9 - [c36]Shaeke Salman, Montasir Shams, Xiuwen Liu, Lingjiong Zhu:
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. IJCNN 2025: 1-10 - [c35]Shaeke Salman, Montasir Shams, Mao Nishino, Xiuwen Liu:
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. IJCNN 2025: 1-9 - [i24]Chashi Mahiul Islam, Samuel Jacob Chacko, Mao Nishino, Xiuwen Liu:
Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers. CoRR abs/2502.04679 (2025) - [i23]Chashi Mahiul Islam, Samuel Jacob Chacko, Preston Horne, Xiuwen Liu:
DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities. CoRR abs/2502.07905 (2025) - [i22]Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu:
Adversarial Attack on Large Language Models using Exponentiated Gradient Descent. CoRR abs/2505.09820 (2025) - [i21]Montasir Shams, Chashi Mahiul Islam, Shaeke Salman, Phat Tran, Xiuwen Liu:
Are Vision Transformer Representations Semantically Meaningful? A Case Study in Medical Imaging. CoRR abs/2507.01788 (2025) - [i20]Sajib Biswas, Mao Nishino, Samuel Jacob Chacko, Xiuwen Liu:
Universal and Transferable Adversarial Attack on Large Language Models Using Exponentiated Gradient Descent. CoRR abs/2508.14853 (2025) - 2024
- [c34]Yuanhang Shao, Xiuwen Liu:
Nonlinear Correct and Smooth for Semi-Supervised Learning. IJCNN 2024: 1-8 - [c33]Canlin Zhang, Xiuwen Liu:
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks. IJCNN 2024: 1-9 - [c32]Chashi Mahiul Islam, Shaeke Salman, Montasir Shams, Xiuwen Liu, Piyush Kumar:
Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems. IROS 2024: 13845-13852 - [i19]Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu:
Intriguing Equivalence Structures of the Embedding Space of Vision Transformers. CoRR abs/2401.15568 (2024) - [i18]Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu, Lingjiong Zhu:
Intriguing Differences Between Zero-Shot and Systematic Evaluations of Vision-Language Transformer Models. CoRR abs/2402.08473 (2024) - [i17]Canlin Zhang, Xiuwen Liu:
Learning Regularities from Data using Spiking Functions: A Theory. CoRR abs/2405.11684 (2024) - [i16]Shaeke Salman, Md Montasir Bin Shams, Xiuwen Liu:
Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal Models. CoRR abs/2407.01157 (2024) - [i15]Chashi Mahiul Islam, Shaeke Salman, Montasir Shams, Xiuwen Liu, Piyush Kumar:
Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation Systems. CoRR abs/2407.07392 (2024) - [i14]Samuel Jacob Chacko, Sajib Biswas, Chashi Mahiul Islam, Fatema Tabassum Liza, Xiuwen Liu:
Adversarial Attacks on Large Language Models Using Regularized Relaxation. CoRR abs/2410.19160 (2024) - 2023
- [j10]Shuyuan Mary Ho, Xiuwen Liu, Md Shamim Seraj, Sabrina Dickey:
Social distance "nudge:" a context aware mHealth intervention in response to COVID pandemics. Comput. Math. Organ. Theory 29(3): 391-414 (2023) - [c31]Uzoamaka Ezeakunne, Xiuwen Liu:
Facial Deepfake Detection Using Gaussian Processes. PSIVT 2023: 353-365 - [i13]John Lazzari, Xiuwen Liu:
Understanding the Spectral Bias of Coordinate Based MLPs Via Training Dynamics. CoRR abs/2301.05816 (2023) - [i12]Luis Villamil, Ryan Bausback, Shaeke Salman, Ting L. Liu, Conrad Horn, Xiuwen Liu:
Improved Stock Price Movement Classification Using News Articles Based on Embeddings and Label Smoothing. CoRR abs/2301.10458 (2023) - [i11]Arunima Mandal, Yuanhang Shao, Xiuwen Liu:
Automatic Historical Stock Price Dataset Generation Using Python. CoRR abs/2308.13414 (2023) - [i10]Yuanhang Shao, Xiuwen Liu:
Nonlinear Correct and Smooth for Semi-Supervised Learning. CoRR abs/2310.05757 (2023) - [i9]Canlin Zhang, Xiuwen Liu:
Inductive Link Prediction in Knowledge Graphs using Path-based Neural Networks. CoRR abs/2312.10293 (2023) - 2022
- [c30]Sajib Biswas, Timothy Barao, John Lazzari, Jeret McCoy, Xiuwen Liu, Alexander Kostandarithes:
Geometric Analysis and Metric Learning of Instruction Embeddings. IJCNN 2022: 1-8 - [c29]Canlin Zhang, Xiuwen Liu:
Dense Embeddings Preserving the Semantic Relationships in WordNet. IJCNN 2022: 1-8 - 2021
- [j9]David B. Whalley, Xin Yuan, Xiuwen Liu:
The domestic computer science graduate students are there, we just need to recruit them. Commun. ACM 64(8): 39-43 (2021) - [j8]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty:
High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. 11(1): 95 (2021) - [c28]Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu:
Optimism/Pessimism Prediction of Twitter Messages and Users Using BERT with Soft Label Assignment. IJCNN 2021: 1-8 - [c27]Maksim Podkorytov, Daniel Bis, Xiuwen Liu:
How Can the [MASK] Know? The Sources and Limitations of Knowledge in BERT. IJCNN 2021: 1-8 - [c26]Daniel Bis, Maksim Podkorytov, Xiuwen Liu:
Too Much in Common: Shifting of Embeddings in Transformer Language Models and its Implications. NAACL-HLT 2021: 5117-5130 - 2020
- [j7]Seyedeh Neelufar Payrovnaziri, Zhaoyi Chen, Pablo Rengifo-Moreno, Tim Miller, Jiang Bian, Jonathan H. Chen, Xiuwen Liu, Zhe He:
Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review. J. Am. Medical Informatics Assoc. 27(7): 1173-1185 (2020) - [c25]Ali Alshahrani, Meysam Ghaffari, Kobra Amirizirtol, Xiuwen Liu:
Identifying Optimism and Pessimism in Twitter Messages Using XLNet and Deep Consensus. IJCNN 2020: 1-8 - [c24]Shamik Bose, Timothy Barao, Xiuwen Liu:
Explaining AI for Malware Detection: Analysis of Mechanisms of MalConv. IJCNN 2020: 1-8 - [c23]Maksim Podkorytov, Daniel Bis, Jinglun Cai, Kobra Amirizirtol, Xiuwen Liu:
Effects of Architecture and Training on Embedding Geometry and Feature Discriminability in BERT. IJCNN 2020: 1-8 - [c22]Shaeke Salman, Seyedeh Neelufar Payrovnaziri, Xiuwen Liu, Pablo Rengifo-Moreno, Zhe He:
DeepConsensus: Consensus-based Interpretable Deep Neural Networks with Application to Mortality Prediction. IJCNN 2020: 1-8 - [c21]Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio:
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. IJCNN 2020: 1-9 - [i8]Canlin Zhang, Xiuwen Liu, Daniel Bis:
An Analysis on the Learning Rules of the Skip-Gram Model. CoRR abs/2003.08489 (2020) - [i7]Canlin Zhang, Xiuwen Liu:
Preserving the Hypernym Tree of WordNet in Dense Embeddings. CoRR abs/2004.10863 (2020)
2010 – 2019
- 2019
- [j6]Canlin Zhang, Daniel Bis, Xiuwen Liu, Zhe He:
Biomedical word sense disambiguation with bidirectional long short-term memory and attention-based neural networks. BMC Bioinform. 20-S(16): 502:1-502:15 (2019) - [c20]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu:
High-resolution home location prediction from tweets using deep learning with dynamic structure. ASONAM 2019: 540-542 - [c19]Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan:
Next-generation high-resolution vector-borne disease risk assessment. ASONAM 2019: 621-624 - [c18]Shaeke Salman, Xiuwen Liu:
Sparsity as the Implicit Gating Mechanism for Residual Blocks. IJCNN 2019: 1-6 - [c17]Canlin Zhang, Xiuwen Liu, Daniel Bis:
An Analysis on the Learning Rules of the Skip-Gram Model. IJCNN 2019: 1-8 - [i6]Shaeke Salman, Xiuwen Liu:
Overfitting Mechanism and Avoidance in Deep Neural Networks. CoRR abs/1901.06566 (2019) - [i5]Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu:
High-resolution home location prediction from tweets using deep learning with dynamic structure. CoRR abs/1902.03111 (2019) - [i4]Meysam Ghaffari, Ashok Srinivasan, Anuj Mubayi, Xiuwen Liu, Krishnan Viswanathan:
Next-Generation High-Resolution Vector-Borne Disease Risk Assessment. CoRR abs/1908.02558 (2019) - [i3]Shaeke Salman, Canlin Zhang, Xiuwen Liu, Washington Mio:
Towards Quantifying Intrinsic Generalization of Deep ReLU Networks. CoRR abs/1910.08581 (2019) - 2018
- [j5]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
Correction to: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18(1): 73:1 (2018) - [j4]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases. BMC Medical Informatics Decis. Mak. 18(S-2): 53-68 (2018) - [j3]Atharva Sharma, Xiuwen Liu, Xiaojun Yang:
Land cover classification from multi-temporal, multi-spectral remotely sensed imagery using patch-based recurrent neural networks. Neural Networks 105: 346-355 (2018) - [c16]Daniel Bis, Canlin Zhang, Xiuwen Liu, Zhe He:
Layered Multistep Bidirectional Long Short-Term Memory Networks for Biomedical Word Sense Disambiguation. BIBM 2018: 313-320 - 2017
- [j2]Atharva Sharma, Xiuwen Liu, Xiaojun Yang, Di Shi:
A patch-based convolutional neural network for remote sensing image classification. Neural Networks 95: 19-28 (2017) - [c15]Zhiwei Chen, Zhe He, Xiuwen Liu, Jiang Bian:
An exploration of semantic relations in neural word embeddings using extrinsic knowledge. BIBM 2017: 1246-1251 - [i2]Atharva Sharma, Xiuwen Liu, Xiaojun Yang:
Land Cover Classification from Multi-temporal, Multi-spectral Remotely Sensed Imagery using Patch-Based Recurrent Neural Networks. CoRR abs/1708.00813 (2017) - 2016
- [j1]Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Xiuwen Liu:
Computer-Mediated Deception: Strategies Revealed by Language-Action Cues in Spontaneous Communication. J. Manag. Inf. Syst. 33(2): 393-420 (2016) - [c14]Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Mike Burmester, Xiuwen Liu, Shashanka Surya Timmarajus:
Demystifying Insider Threat: Language-Action Cues in Group Dynamics. HICSS 2016: 2729-2738 - [c13]Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Xiuwen Liu, Muye Liu, Shashanka Surya Timmarajus, Mike Burmester:
Real or Spiel? A Decision Tree Approach for Automated Detection of Deceptive Language-Action Cues. HICSS 2016: 3706-3715 - [c12]Jiangbo Yuan, Xiuwen Liu:
Fast Nearest Neighbor Search with Transformed Residual Quantization. ICMLA 2016: 971-976 - [c11]Shuyuan Mary Ho, Xiuwen Liu, Cheryl Booth, Aravind Hariharan:
Saint or Sinner? Language-Action Cues for Modeling Deception Using Support Vector Machines. SBP-BRiMS 2016: 325-334 - 2015
- [c10]Prabesh Kanel, Xiuwen Liu:
A path based approach to quantifying the progression of Alzheimer's disease. BIBM 2015: 1039-1046 - [c9]Jaewon Yang, Xiuwen Liu, Shamik Bose:
Preventing Cyber-induced Irreversible Physical Damage to Cyber-Physical Systems. CISR 2015: 8:1-8:4 - [c8]Jiangbo Yuan, Xiuwen Liu:
Product tree quantization for approximate nearest neighbor search. ICIP 2015: 2035-2039 - [c7]Shuyuan Mary Ho, Jeffrey T. Hancock, Cheryl Booth, Xiuwen Liu, Shashanka Surya Timmarajus, Mike Burmester:
Liar, Liar, IM on Fire: Deceptive language-action cues in spontaneous online communication. ISI 2015: 157-159 - [i1]Jiangbo Yuan, Xiuwen Liu:
Transformed Residual Quantization for Approximate Nearest Neighbor Search. CoRR abs/1512.06925 (2015) - 2014
- [c6]Shuyuan Mary Ho, Shashanka Surya Timmarajus, Mike Burmester, Xiuwen Liu:
Dyadic Attribution: A Theoretical Model for Interpreting Online Words and Actions. SBP 2014: 277-284 - 2013
- [c5]Jiangbo Yuan, Xiuwen Liu:
Transform Residual K-Means Trees for Scalable Clustering. ICDM Workshops 2013: 489-496 - [c4]Mike Burmester, Joshua Lawrence, David Guidry, Sean Easton, Sereyvathana Ty, Xiuwen Liu, Xin Yuan, Jonathan Jenkins:
Towards a secure electricity grid. ISSNIP 2013: 374-379 - [c3]Jonathan Jenkins, Sean Easton, David Guidry, Mike Burmester, Xiuwen Liu, Xin Yuan, Joshua Lawrence, Sereyvathana Ty:
Trusted Group Key Management for Real-Time Critical Infrastructure Protection. MILCOM 2013: 248-253 - 2012
- [c2]Yu Zhang, Xiuwen Liu, Jonathan H. Dennis:
Quantitative models for statistical nucleosome occupancy prediction. BIBM Workshops 2012: 937-939 - [c1]Xiuwen Liu, Yu Zhang, Teng L. Liu, Jonathan H. Dennis:
One-base-pair localization of nucleosomes. BIBM Workshops 2012: 943-945
Coauthor Index
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last updated on 2026-02-16 23:34 CET by the dblp team
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