OpenAttack: An Open-source Textual Adversarial Attack Toolkit. - Guoyang Zeng; Fanchao Qi; Qianrui Zhou; Tingji Zhang; Zixian Ma; Bairu Hou; Yuan Zang; Zhiyuan Liu 001; Maosong Sun 001 (ACL (demo), 2021)

Multi-Satellite Tracking For The LEO Satellite Communication Network. - Qin Chen; Zixian Ma; Bing Lan; Chunyi Song; Zhiwei Xu 003 (ICC, 2022)

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward. - Zixian Ma; Rose E. Wang; Fei-Fei Li 001; Michael S. Bernstein; Ranjay Krishna (NeurIPS, 2022)

MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing. - Xin Liu 034; Yuntao Wang 001; Sinan Xie; Xiaoyu Zhang; Zixian Ma; Daniel McDuff; Shwetak N. Patel (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

DOA Estimation Based on Root Sparse Bayesian Learning Under Gain and Phase Error. - Dingke Yu; Xin Wang; Wenwei Fang; Zixian Ma; Bing Lan; Chunyi Song; Zhiwei Xu 003 (J. Commun. Inf. Networks, 2022)

A Lightweight Deep Learning-Based Algorithm for Array Imperfection Correction and DOA Estimation. - Wenwei Fang; Zhihui Cao; Dingke Yu; Xin Wang; Zixian Ma; Bing Lan; Chunyi Song; Zhiwei Xu 003 (J. Commun. Inf. Networks, 2022)

Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design. - Michelle S. Lam; Zixian Ma; Anne Li; Izequiel Freitas; Dakuo Wang; James A. Landay; Michael S. Bernstein (CHI, 2023)

@ CREPE: Can Vision-Language Foundation Models Reason Compositionally? - Zixian Ma; Jerry Hong; Mustafa Omer Gul; Mona Gandhi; Irena Gao; Ranjay Krishna (CVPR, 2023)

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality. - Cheng-Yu Hsieh; Jieyu Zhang 001; Zixian Ma; Aniruddha Kembhavi; Ranjay Krishna (NeurIPS, 2023)

m &m's: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks. - Zixian Ma; Weikai Huang; Jieyu Zhang 001; Tanmay Gupta; Ranjay Krishna (ECCV (10), 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)

Task Me Anything. - Jieyu Zhang 001; Weikai Huang; Zixian Ma; Oscar Michel; Dong He 002; Tanmay Gupta; Wei-Chiu Ma; Ali Farhadi; Aniruddha Kembhavi; Ranjay Krishna (NeurIPS, 2024)

TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. - Zixian Ma; Jianguo Zhang; Zhiwei Liu 001; Jieyu Zhang 001; Juntao Tan; Manli Shu; Juan Carlos Niebles; Shelby Heinecke; Huan Wang 014; Caiming Xiong; Ranjay Krishna; Silvio Savarese (CoRR, 2024)

ProVision: Programmatically Scaling Vision-centric Instruction Data for Multimodal Language Models. - Jieyu Zhang 001; Le Xue; Linxin Song; Jun Wang 090; Weikai Huang; Manli Shu; An Yan; Zixian Ma; Juan Carlos Niebles; Silvio Savarese; Caiming Xiong; Zeyuan Chen 001; et al. (CoRR, 2024)

Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model. - Benlin Liu; Yuhao Dong; Yiqin Wang; Zixian Ma; Yansong Tang; Luming Tang; Yongming Rao; Wei-Chiu Ma; Ranjay Krishna (CVPR, 2025)

Synthetic Visual Genome. - Jae Sung Park; Zixian Ma; Linjie Li; Chenhao Zheng; Cheng-Yu Hsieh; Ximing Lu; Khyathi Raghavi Chandu; Quan Kong; Norimasa Kobori; Ali Farhadi; Yejin Choi 001; Ranjay Krishna (CVPR, 2025)

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting. - Jiyue Jiang; Pengan Chen; Jiuming Wang; Dongchen He; Ziqin Wei; Liang Hong; Licheng Zong; Sheng Wang; Qinze Yu; Zixian Ma; Yanyu Chen; Yimin Fan; et al. (CoRR, 2025)

Biological Sequence with Language Model Prompting: A Survey. - Jiyue Jiang; Zikang Wang; Yuheng Shan; Heyan Chai 002; Jiayi Li; Zixian Ma; Xinrui Zhang; Yu Li (CoRR, 2025)

Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations. - Linjie Li; Mahtab Bigverdi; Jiawei Gu; Zixian Ma; Yinuo Yang; Ziang Li; Yejin Choi; Ranjay Krishna (CoRR, 2025)