Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. - Songwei Ge; Zhicheng Dou; Zhengbao Jiang; Jian-Yun Nie; Ji-Rong Wen (CIKM, 2018)

Hallucinating Point Cloud into 3D Sculptural Object. - Chun-Liang Li; Eunsu Kang 001; Songwei Ge; Lingyao Zhang; Austin Dill; Manzil Zaheer; Barnabás Póczos (CoRR, 2018)

Learning Robust Global Representations by Penalizing Local Predictive Power. - Haohan Wang; Songwei Ge; Zachary C. Lipton; Eric P. Xing (NeurIPS, 2019)

From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories. - Songwei Ge; Curtis Xuan; Ruihua Song; Chao Zou; Wei Liu; Jin Zhou (SIGIR, 2019)

Developing Creative AI to Generate Sculptural Objects. - Songwei Ge; Austin Dill; Eunsu Kang 001; Chun-Liang Li; Lingyao Zhang; Manzil Zaheer; Barnabás Póczos (CoRR, 2019)

Getting Topology and Point Cloud Generation to Mesh. - Austin Dill; Chun-Liang Li; Songwei Ge; Eunsu Kang 001 (CoRR, 2019)

Learned Interpolation for 3D Generation. - Austin Dill; Songwei Ge; Eunsu Kang 001; Chun-Liang Li; Barnabás Póczos (CoRR, 2019)

Visual Conceptual Blending with Large-Scale Language and Vision Models. - Songwei Ge; Devi Parikh (ICCC, 2021)

Creative Sketch Generation. - Songwei Ge; Vedanuj Goswami; Larry Zitnick; Devi Parikh (ICLR, 2021)

Robust Contrastive Learning Using Negative Samples with Diminished Semantics. - Songwei Ge; Shlok Mishra; Chun-Liang Li; Haohan Wang; David Jacobs 001 (NeurIPS, 2021)

Shift Invariance Can Reduce Adversarial Robustness. - Vasu Singla; Songwei Ge; Ronen Basri; David W. Jacobs (NeurIPS, 2021)

Supervised Adversarial Alignment of Single-Cell RNA-seq Data. - Songwei Ge; Haohan Wang; Amir Alavi; Eric P. Xing; Ziv Bar-Joseph (J. Comput. Biol., 2021)

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. - Songwei Ge; Thomas Hayes; Harry Yang; Xi Yin 001; Guan Pang; David Jacobs 001; Jia-Bin Huang 001; Devi Parikh (ECCV (17), 2022)

MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration. - Thomas Hayes; Songyang Zhang; Xi Yin 001; Guan Pang; Sasha Sheng; Harry Yang; Songwei Ge; Qiyuan Hu; Devi Parikh (ECCV (8), 2022)

Hyperbolic Contrastive Learning for Visual Representations beyond Objects. - Songwei Ge; Shlok Mishra; Simon Kornblith; Chun-Liang Li; David Jacobs 001 (CVPR, 2023)

Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. - Songwei Ge; Seungjun Nah; Guilin Liu; Tyler Poon; Andrew Tao; Bryan Catanzaro; David Jacobs 001; Jia-Bin Huang 001; Ming-Yu Liu 001; Yogesh Balaji (ICCV, 2023)

Expressive Text-to-Image Generation with Rich Text. - Songwei Ge; Taesung Park; Jun-Yan Zhu; Jia-Bin Huang 001 (ICCV, 2023)

Text-driven Visual Synthesis with Latent Diffusion Prior. - Ting-Hsuan Liao; Songwei Ge; Yiran Xu; Yao-Chih Lee; Badour AlBahar; Jia-Bin Huang 001 (CoRR, 2023)

Grounded Text-to-Image Synthesis with Attention Refocusing. - Quynh Phung; Songwei Ge; Jia-Bin Huang 001 (CoRR, 2023)

On the Content Bias in Fréchet Video Distance. - Songwei Ge; Aniruddha Mahapatra; Gaurav Parmar; Jun-Yan Zhu; Jia-Bin Huang (CVPR, 2024)

Grounded Text-to-Image Synthesis with Attention Refocusing. - Quynh Phung; Songwei Ge; Jia-Bin Huang (CVPR, 2024)

Rethinking Score Distillation as a Bridge Between Image Distributions. - David McAllister; Songwei Ge; Jia-Bin Huang 001; David Jacobs 001; Alexei A. Efros; Aleksander Holynski; Angjoo Kanazawa (NeurIPS, 2024)

On the Content Bias in Fr 'echet Video Distance. - Songwei Ge; Aniruddha Mahapatra; Gaurav Parmar; Jun-Yan Zhu; Jia-Bin Huang (CoRR, 2024)

Coherent Zero-Shot Visual Instruction Generation. - Quynh Phung; Songwei Ge; Jia-Bin Huang 001 (CoRR, 2024)

Illusion3D: 3D Multiview Illusion with 2D Diffusion Priors. - Yue Feng; Vaibhav Sanjay; Spencer Lutz; Badour AlBahar; Songwei Ge; Jia-Bin Huang 001 (CoRR, 2024)

A Comprehensive Study of Decoder-Only LLMs for Text-to-Image Generation. - Andrew Z. Wang; Songwei Ge; Tero Karras; Ming-Yu Liu 001; Yogesh Balaji (CVPR, 2025)

Cosmos World Foundation Model Platform for Physical AI. - Niket Agarwal; Arslan Ali; Maciej Bala; Yogesh Balaji; Erik Barker; Tiffany Cai; Prithvijit Chattopadhyay; Yongxin Chen; Yin Cui; Yifan Ding; Daniel Dworakowski; Jiaojiao Fan; et al. (CoRR, 2025)

Flow Matching Policy Gradients. - David McAllister; Songwei Ge; Brent Yi; Chung Min Kim; Ethan Weber; Hongsuk Choi; Haiwen Feng; Angjoo Kanazawa (CoRR, 2025)

Expressive Image Generation and Editing with Rich Text. - Songwei Ge; Taesung Park; Jun-Yan Zhu; Jia-Bin Huang (Int. J. Comput. Vis., 2025)