A hierarchical training and identification method using Gaussian process models for face recognition in videos. - Negar Hassanpour; Liang Chen 012 (FG, 2015)

A Quantum Probability Inspired Framework for Image-Set Based Face Identification. - Negar Hassanpour; Liang Chen 012 (FG, 2017)

Survey: How good are the current advances in image set based face identification? - Experiments on three popular benchmarks with a naïve approach. - Liang Chen 012; Negar Hassanpour (Comput. Vis. Image Underst., 2017)

A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits. - Negar Hassanpour; Russell Greiner (Canadian AI, 2018)

Counterfactual Reasoning in Observational Studies. - Negar Hassanpour (AAAI, 2019)

CounterFactual Regression with Importance Sampling Weights. - Negar Hassanpour; Russell Greiner (IJCAI, 2019)

Reducing Selection Bias in Counterfactual Reasoning for Individual Treatment Effects Estimation. - Zichen Zhang 001; Qingfeng Lan; Lei Ding; Yue Wang; Negar Hassanpour; Russell Greiner (CoRR, 2019)

Learning Disentangled Representations for CounterFactual Regression. - Negar Hassanpour; Russell Greiner (ICLR, 2020)

Variational Auto-Encoder Architectures that Excel at Causal Inference. - Negar Hassanpour; Russell Greiner (CoRR, 2021)

Drawing Inductor Layout with a Reinforcement Learning Agent: Method and Application for VCO Inductors. - Cameron Haigh; Zichen Zhang 001; Negar Hassanpour; Khurram Javed; Yingying Fu; Shayan Shahramian; Shawn Zhang; Jun Luo 009 (CoRR, 2022)

AutoGO: Automated Computation Graph Optimization for Neural Network Evolution. - Mohammad Salameh; Keith G. Mills; Negar Hassanpour; Fred X. Han; Shuting Zhang; Wei Lu 023; Shangling Jui; Chunhua Zhou; Fengyu Sun; Di Niu (NeurIPS, 2023)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohan Sai Singamsetti; Fengyu Sun; Wei Lu 023; Di Niu (CoRR, 2024)

Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. - Keith G. Mills; Mohammad Salameh; Ruichen Chen; Negar Hassanpour; Wei Lu 023; Di Niu (CoRR, 2024)

PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohammadreza Samadi; Jiao He; Fengyu Sun; Di Niu (AAAI, 2025)

Qua2SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models. - Keith G. Mills; Mohammad Salameh; Ruichen Chen; Negar Hassanpour; Wei Lu 023; Di Niu (AAAI, 2025)

FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt Weighting. - Liyao Jiang; Negar Hassanpour; Mohammad Salameh; Mohan Sai Singamsetti; Fengyu Sun; Wei Lui; Di Niu (Trans. Mach. Learn. Res., 2025)

Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone. - Negar Hassanpour; Muhammad Kamran Janjua; Kunlin Zhang; Sepehr Lavasani; Xiaowen Zhang; Chunhua Zhou; Chao Gao (CoRR, 2025)

Cora: Correspondence-aware image editing using few step diffusion. - Amirhossein Almohammadi; Aryan Mikaeili; Sauradip Nag; Negar Hassanpour; Andrea Tagliasacchi; Ali Mahdavi-Amiri (CoRR, 2025)

GLASS: Test-Time Acceleration for LLMs via Global-Local Neural Importance Aggregation. - Amirmohsen Sattarifard; Sepehr Lavasani; Ehsan Imani; Kunlin Zhang; Hanlin Xu; Fengyu Sun; Negar Hassanpour; Chao Gao (CoRR, 2025)