Extraction of Clinical Phenotypic Information from Online Heterogeneous Healthcare Networks. - Christopher C. Yang; Mengnan Zhao (ICHI, 2015)

Mining Online Heterogeneous Healthcare Networks for Drug Repositioning. - Mengnan Zhao; Christopher C. Yang (ICHI, 2016)

Patterns of Interaction within Smoking Cessation Groups on Facebook: A Social Network Analysis. - Mengnan Zhao; Christopher C. Yang; Johannes Thrul; Danielle Ramo (ICHI, 2016)

Detecting Off-label Uses of Prescription Drugs with Meta-Path-Based Mining. - Mengnan Zhao; Christopher C. Yang (AMIA, 2017)

Automated Off-label Drug Use Detection from User Generated Content. - Mengnan Zhao; Christopher C. Yang (BCB, 2017)

Determining Associations with Word Embedding in Heterogeneous Network for Detecting Off-Label Drug Uses. - Christopher C. Yang; Mengnan Zhao (ICHI, 2017)

Off-Label Drug Use Detection Based on Heterogeneous Network Mining. - Mengnan Zhao (ICHI, 2017)

A Framework for Developing and Evaluating Word Embeddings of Drug-named Entity. - Mengnan Zhao; Aaron J. Masino; Christopher C. Yang (BioNLP, 2018)

Sparse Recovery over Graph Incidence Matrices. - Mengnan Zhao; M. Devrim Kaba; René Vidal; Daniel P. Robinson; Enrique Mallada (CDC, 2018)

Expanding Consumer Health Vocabularies with Frequency-Conserving Internal Context Models. - Munif Ishad Mujib; Christopher C. Yang; Mengnan Zhao; Jake Ryland Williams (ICHI, 2018)

Exploiting OHC Data with Tensor Decomposition for Off-Label Drug Use Detection. - Mengnan Zhao; Christopher C. Yang (ICHI, 2018)

Sparse Recovery over Graph Incidence Matrices: Polynomial Time Guarantees and Location Dependent Performance. - Mengnan Zhao; M. Devrim Kaba; René Vidal; Daniel P. Robinson; Enrique Mallada (CoRR, 2018)

Data set mentions and citations: A content analysis of full-text publications. - Mengnan Zhao; Erjia Yan; Kai Li 010 (J. Assoc. Inf. Sci. Technol., 2018)

Mining heterogeneous network for drug repositioning using phenotypic information extracted from social media and pharmaceutical databases. - Christopher C. Yang; Mengnan Zhao (Artif. Intell. Medicine, 2019)

Generalized Nullspace Property for Structurally Sparse Signals. - Mustafa Devrim Kaba; Mengnan Zhao; René Vidal; Daniel P. Robinson; Enrique Mallada (CoRR, 2019)

Source Camera Identification Based on Coupling Coding and Adaptive Filter. - Mengnan Zhao; Bo Wang 024; Fei Wei; Meineng Zhu; Xue Sui (IEEE Access, 2020)

A Constant-time Adaptive Negative Sampling. - Shabnam Daghaghi; Tharun Medini; Beidi Chen; Mengnan Zhao; Anshumali Shrivastava (CoRR, 2020)

A Tale of Two Efficient and Informative Negative Sampling Distributions. - Shabnam Daghaghi; Tharun Medini; Nicholas Meisburger; Beidi Chen; Mengnan Zhao; Anshumali Shrivastava (ICML, 2021)

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. - Shabnam Daghaghi; Nicholas Meisburger; Mengnan Zhao; Anshumali Shrivastava (MLSys, 2021)

Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More. - Shabnam Daghaghi; Nicholas Meisburger; Mengnan Zhao; Yong Wu; Sameh Gobriel; Charlie Tai; Anshumali Shrivastava (CoRR, 2021)

Virtual Sample Generation and Ensemble Learning Based Image Source Identification With Small Training Samples. - Shiqi Wu; Bo Wang 024; Jianxiang Zhao; Mengnan Zhao; Kun Zhong; Yanqing Guo (Int. J. Digit. Crime Forensics, 2021)

V-LDAA: A New Lattice-Based Direct Anonymous Attestation Scheme for VANETs System. - Liquan Chen; Tianyang Tu; Kunliang Yu; Mengnan Zhao; Yingchao Wang (Secur. Commun. Networks, 2021)

Adversarial Analysis for Source Camera Identification. - Bo Wang 024; Mengnan Zhao; Wei Wang 025; Xiaorui Dai; Yi Li 018; Yanqing Guo (IEEE Trans. Circuits Syst. Video Technol., 2021)

Are You Confident That You Have Successfully Generated Adversarial Examples? - Bo Wang 024; Mengnan Zhao; Wei Wang 025; Fei Wei; Zhan Qin; Kui Ren 001 (IEEE Trans. Circuits Syst. Video Technol., 2021)

What is the Largest Sparsity Pattern That Can Be Recovered by 1-Norm Minimization? - Mustafa Devrim Kaba; Mengnan Zhao; René Vidal; Daniel P. Robinson; Enrique Mallada (IEEE Trans. Inf. Theory, 2021)

DDKA-QKDN: Dynamic On-Demand Key Allocation Scheme for Quantum Internet of Things Secured by QKD Network. - Liquan Chen; Qianye Chen; Mengnan Zhao; Jingqi Chen; Suhui Liu; Yongli Zhao (Entropy, 2022)

APR-QKDN: A Quantum Key Distribution Network Routing Scheme Based on Application Priority Ranking. - Liquan Chen; Ziyan Zhang; Mengnan Zhao; Kunliang Yu; Suhui Liu (Entropy, 2022)

Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection. - Mengnan Zhao; Bo Wang 024; Wei Wang 025; Yuqiu Kong; Tianhang Zheng; Kui Ren 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Fast Adversarial Training with Smooth Convergence. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (ICCV, 2023)

EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (CoRR, 2023)

Protecting by attacking: A personal information protecting method with cross-modal adversarial examples. - Mengnan Zhao; Bo Wang 024; Weikuo Guo; Wei Wang 025 (Neurocomputing, 2023)

Temporal knowledge graph reasoning triggered by memories. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (Appl. Intell., 2023)

Catastrophic Overfitting: A Potential Blessing in Disguise. - Mengnan Zhao; Lihe Zhang; Yuqiu Kong; Baocai Yin (ECCV (42), 2024)

Separable Multi-Concept Erasure from Diffusion Models. - Mengnan Zhao; Lihe Zhang; Tianhang Zheng; Yuqiu Kong; Baocai Yin (CoRR, 2024)

Adversarial Training: A Survey. - Mengnan Zhao; Lihe Zhang; Jingwen Ye; Huchuan Lu; Baocai Yin; Xinchao Wang (CoRR, 2024)

Class correlation correction for unbiased scene graph generation. - Mengnan Zhao; Yuqiu Kong; Lihe Zhang; Baocai Yin (Pattern Recognit., 2024)

Adversarial Attacks on Scene Graph Generation. - Mengnan Zhao; Lihe Zhang; Wei Wang 025; Yuqiu Kong; Baocai Yin (IEEE Trans. Inf. Forensics Secur., 2024)

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors. - Mengnan Zhao; Lihe Zhang; Xingyi Yang; Tianhang Zheng; Baocai Yin (CoRR, 2025)