Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts. - Zizhao Hu; Ravikiran Chanumolu; Xingyu Lin; Nayela Ayaz; Vincent Chi (CoRR, 2021)

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RL. - Sumedh A. Sontakke; Stephen Iota; Zizhao Hu; Arash Mehrjou; Laurent Itti; Bernhard Schölkopf (AISTATS, 2022)

Encoding Binary Concepts in the Latent Space of Generative Models for Enhancing Data Representation. - Zizhao Hu; Mohammad Rostami (CoRR, 2023)

Cognitively Inspired Cross-Modal Data Generation Using Diffusion Models. - Zizhao Hu; Mohammad Rostami (CoRR, 2023)

Class-Incremental Learning Using Generative Experience Replay Based on Time-aware Regularization. - Zizhao Hu; Mohammad Rostami (CoRR, 2023)

Efficient Multimodal Diffusion Models Using Joint Data Infilling with Partially Shared U-Net. - Zizhao Hu; Shaochong Jia; Mohammad Rostami (CoRR, 2023)

An Intermediate Fusion ViT Enables Efficient Text-Image Alignment in Diffusion Models. - Zizhao Hu; Shaochong Jia; Mohammad Rostami (CoRR, 2024)

Lateralization MLP: A Simple Brain-inspired Architecture for Diffusion. - Zizhao Hu; Mohammad Rostami (CoRR, 2024)

Static Key Attention in Vision. - Zizhao Hu; Xiaolin Zhou; Mohammad Rostami (CoRR, 2024)

Multi-modal Synthetic Data Training and Model Collapse: Insights from VLMs and Diffusion Models. - Zizhao Hu; Mohammad Rostami; Jesse Thomason (CoRR, 2025)