Intermediate Level Adversarial Attack for Enhanced Transferability. - Qian Huang; Zeqi Gu; Isay Katsman; Horace He; Pian Pawakapan; Zhiqiu Lin; Serge J. Belongie; Ser-Nam Lim (CoRR, 2018)

What.Hack: Engaging Anti-Phishing Training Through a Role-playing Phishing Simulation Game. - Zikai Alex Wen; Zhiqiu Lin; Rowena Chen; Erik Andersen 001 (CHI, 2019)

QPyTorch: A Low-Precision Arithmetic Simulation Framework. - Tianyi Zhang; Zhiqiu Lin; Guandao Yang; Christopher De Sa (EMC2@NeurIPS, 2019)

Visual Chirality. - Zhiqiu Lin; Jin Sun 007; Abe Davis; Noah Snavely (CVPR, 2020)

The CLEAR Benchmark: Continual LEArning on Real-World Imagery. - Zhiqiu Lin; Jia Shi; Deepak Pathak; Deva Ramanan (NeurIPS Datasets and Benchmarks, 2021)

Streaming Self-Training via Domain-Agnostic Unlabeled Images. - Zhiqiu Lin; Deva Ramanan; Aayush Bansal (CoRR, 2021)

Continual Learning with Evolving Class Ontologies. - Zhiqiu Lin; Deepak Pathak; Yu-Xiong Wang; Deva Ramanan; Shu Kong (NeurIPS, 2022)

Learning with an Evolving Class Ontology. - Zhiqiu Lin; Deepak Pathak; Yu-Xiong Wang; Deva Ramanan; Shu Kong (CoRR, 2022)

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models. - Zhiqiu Lin; Samuel Yu; Zhiyi Kuang 002; Deepak Pathak; Deva Ramanan (CVPR, 2023)

Prompting Scientific Names for Zero-Shot Species Recognition. - Shubham Parashar; Zhiqiu Lin; Yanan Li; Shu Kong (EMNLP, 2023)

VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores. - Zhiqiu Lin; Xinyue Chen; Deepak Pathak; Pengchuan Zhang; Deva Ramanan (CoRR, 2023)

How visual chirality affects the performance of image hashing. - Yanzhao Xie; Guangxing Hu; Yu Liu 040; Zhiqiu Lin; Ke Zhou 001; Yuhong Zhao (Neural Comput. Appl., 2023)

Evaluating and Improving Compositional Text-to-Visual Generation. - Baiqi Li; Zhiqiu Lin; Deepak Pathak; Jiayao Li; Yixin Fei; Kewen Wu 005; Xide Xia; Pengchuan Zhang; Graham Neubig; Deva Ramanan (CVPR Workshops, 2024)

Language Models as Black-Box Optimizers for Vision-Language Models. - Shihong Liu; Samuel Yu; Zhiqiu Lin; Deepak Pathak; Deva Ramanan (CVPR, 2024)

The Neglected Tails in Vision-Language Models. - Shubham Parashar; Zhiqiu Lin; Tian Liu 006; Xiangjue Dong; Yanan Li; Deva Ramanan; James Caverlee; Shu Kong (CVPR, 2024)

Evaluating Text-to-Visual Generation with Image-to-Text Generation. - Zhiqiu Lin; Deepak Pathak; Baiqi Li; Jiayao Li; Xide Xia; Graham Neubig; Pengchuan Zhang; Deva Ramanan (ECCV (9), 2024)

Revisiting the Role of Language Priors in Vision-Language Models. - Zhiqiu Lin; Xinyue Chen; Deepak Pathak; Pengchuan Zhang; Deva Ramanan (ICML, 2024)

LCA-on-the-Line: Benchmarking Out of Distribution Generalization with Class Taxonomies. - Jia Shi; Gautam Rajendrakumar Gare; Jinjin Tian; Siqi Chai; Zhiqiu Lin; Arun Balajee Vasudevan; Di Feng; Francesco Ferroni; Shu Kong (ICML, 2024)

NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples. - Baiqi Li; Zhiqiu Lin; Wenxuan Peng; Jean de Dieu Nyandwi; Daniel Jiang; Zixian Ma; Simran Khanuja; Ranjay Krishna; Graham Neubig; Deva Ramanan (NeurIPS, 2024)

An Introduction to Vision-Language Modeling. - Florian Bordes; Richard Yuanzhe Pang; Anurag Ajay; Alexander C. Li; Adrien Bardes; Suzanne Petryk; Oscar Mañas; Zhiqiu Lin; Anas Mahmoud 002; Bargav Jayaraman; Mark Ibrahim; Melissa Hall; et al. (CoRR, 2024)

GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation. - Baiqi Li; Zhiqiu Lin; Deepak Pathak; Jiayao Li; Yixin Fei; Kewen Wu 005; Tiffany Ling; Xide Xia; Pengchuan Zhang; Graham Neubig; Deva Ramanan (CoRR, 2024)

Sparse Attention Vectors: Generative Multimodal Model Features Are Discriminative Vision-Language Classifiers. - Chancharik Mitra; Brandon Huang; Tianning Chai; Zhiqiu Lin; Assaf Arbelle; Rogério Feris; Leonid Karlinsky; Trevor Darrell; Deva Ramanan; Roei Herzig (CoRR, 2024)

InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning. - Zifu Wan; Yaqi Xie 001; Ce Zhang 009; Zhiqiu Lin; Zihan Wang; Simon Stepputtis; Deva Ramanan; Katia P. Sycara (ACL (1), 2025)

Towards Understanding Camera Motions in Any Video. - Zhiqiu Lin; Siyuan Cen; Daniel Jiang; Jay Karhade; Hewei Wang 001; Chancharik Mitra; Tiffany Ling; Yuhan Huang; Sifan Liu; Mingyu Chen; Rushikesh Zawar; Xue Bai; et al. (CoRR, 2025)

Activation Reward Models for Few-Shot Model Alignment. - Tianning Chai; Chancharik Mitra; Brandon Huang; Gautam Rajendrakumar Gare; Zhiqiu Lin; Assaf Arbelle; Leonid Karlinsky; Rogério Feris; Trevor Darrell; Deva Ramanan; Roei Herzig (CoRR, 2025)