Nie, Weili

34 publications

CVPR 2025 BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie

ICLR 2025 Energy-Based Diffusion Language Models for Text Generation Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat

ICML 2025 GenMol: A Drug Discovery Generalist with Discrete Diffusion Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Gopal Paliwal, Weili Nie, Arash Vahdat

ICLR 2025 T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching Zizheng Pan, Bohan Zhuang, De-An Huang, Weili Nie, Zhiding Yu, Chaowei Xiao, Jianfei Cai, Anima Anandkumar

ICLR 2025 Truncated Consistency Models Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie

NeurIPS 2024 Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization Siyi Gu, Minkai Xu, Alexander Powers, Weili Nie, Tomas Geffner, Karsten Kreis, Jure Leskovec, Arash Vahdat, Stefano Ermon

ICML 2024 Compositional Text-to-Image Generation with Dense Blob Representations Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

ECCVW 2024 Compositional Text-to-Image Generation with Feedforward Layout Generation Sifei Liu, Weili Nie, An-Chieh Cheng, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat

ICLR 2024 Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar

TMLR 2024 Fast Training of Diffusion Models with Masked Transformers Hongkai Zheng, Weili Nie, Arash Vahdat, Anima Anandkumar

NeurIPS 2024 Molecule Generation with Fragment Retrieval Augmentation Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Paliwal, Arash Vahdat, Weili Nie

TMLR 2024 Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled Shengchao Liu, Chengpeng Wang, Jiarui Lu, Weili Nie, Hanchen Wang, Zhuoxinran Li, Bolei Zhou, Jian Tang

NeurIPS 2024 Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models Giannis Daras, Weili Nie, Karsten Kreis, Alexandros G. Dimakis, Morteza Mardani, Nikola B. Kovachki, Arash Vahdat

ICML 2023 A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao

ICLR 2023 Defending Against Adversarial Audio via Diffusion Model Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao

ICLR 2023 DensePure: Understanding Diffusion Models for Adversarial Robustness Chaowei Xiao, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

TMLR 2023 Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data Yuji Roh, Weili Nie, De-An Huang, Steven Euijong Whang, Arash Vahdat, Anima Anandkumar

ICML 2023 Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

ICML 2023 I$^2$SB: Image-to-Image Schrödinger Bridge Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos Theodorou, Weili Nie, Anima Anandkumar

NeurIPSW 2023 MoleculeGPT: Instruction Following Large Language Models for Molecular Property Prediction Weitong Zhang, Xiaoyun Wang, Weili Nie, Joe Eaton, Brad Rees, Quanquan Gu

ICLR 2023 Retrieval-Based Controllable Molecule Generation Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard Baraniuk, Anima Anandkumar

CVPR 2022 Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar

NeurIPSW 2022 DensePure: Understanding Diffusion Models Towards Adversarial Robustness Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Weili Nie, Mingyan Liu, Anima Anandkumar, Bo Li, Dawn Song

ICML 2022 Diffusion Models for Adversarial Purification Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar

NeurIPSW 2022 Fast Sampling of Diffusion Models via Operator Learning Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar

NeurIPSW 2022 GraphCG: Unsupervised Discovery of Steerable Factors in Graphs Shengchao Liu, Chengpeng Wang, Weili Nie, Hanchen Wang, Jiarui Lu, Bolei Zhou, Jian Tang

ICLR 2022 RelViT: Concept-Guided Vision Transformer for Visual Relational Reasoning Xiaojian Ma, Weili Nie, Zhiding Yu, Huaizu Jiang, Chaowei Xiao, Yuke Zhu, Song-Chun Zhu, Anima Anandkumar

NeurIPS 2022 Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language Models Manli Shu, Weili Nie, De-An Huang, Zhiding Yu, Tom Goldstein, Anima Anandkumar, Chaowei Xiao

NeurIPS 2021 Controllable and Compositional Generation with Latent-Space Energy-Based Models Weili Nie, Arash Vahdat, Anima Anandkumar

NeurIPS 2020 Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie, Zhiding Yu, Lei Mao, Ankit B Patel, Yuke Zhu, Anima Anandkumar

ICML 2020 Semi-Supervised StyleGAN for Disentanglement Learning Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit Patel, Animashree Anandkumar

ICLR 2019 RelGAN: Relational Generative Adversarial Networks for Text Generation Weili Nie, Nina Narodytska, Ankit Patel

UAI 2019 Towards a Better Understanding and Regularization of GAN Training Dynamics Weili Nie, Ankit B. Patel

ICML 2018 A Theoretical Explanation for Perplexing Behaviors of Backpropagation-Based Visualizations Weili Nie, Yang Zhang, Ankit Patel