Weili Nie
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
9
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations. | Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie |
| 2025 | ICLR | Truncated Consistency Models. | Sangyun Lee, Yilun Xu, Tomas Geffner, Giulia Fanti, Karsten Kreis, Arash Vahdat, Weili Nie |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Energy-Based Diffusion Language Models for Text Generation. | Minkai Xu, Tomas Geffner, Karsten Kreis, Weili Nie, Yilun Xu, Jure Leskovec, Stefano Ermon, Arash Vahdat |
| 2025 | ICML | 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 |
| 2025 | ISNN | Intelligent Recognition of Gram-Stained Microscopic Images Based on DIBAS Dataset. | Weili Nie |
| 2024 | ECCV | Compositional Text-to-Image Generation with Feedforward Layout Generation. | Sifei Liu, Weili Nie, An-Chieh Cheng, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat |
| 2024 | ICLR | Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition. | Sihyun Yu, Weili Nie, De-An Huang, Boyi Li, Jinwoo Shin, Anima Anandkumar |
| 2024 | ICML | Compositional Text-to-Image Generation with Dense Blob Representations. | Weili Nie, Sifei Liu, Morteza Mardani, Chao Liu, Benjamin Eckart, Arash Vahdat |
| 2024 | SiggraphA | BlobGEN-3D: Compositional 3D-Consistent Freeview Image Generation with 3D Blobs. | Chao Liu, Weili Nie, Sifei Liu, Abhishek Badki, Hang Su, Morteza Mardani, Benjamin Eckart, Arash Vahdat |
| 2024 | SiggraphA | DiffUHaul: A Training-Free Method for Object Dragging in Images. | Omri Avrahami, Rinon Gal, Gal Chechik, Ohad Fried, Dani Lischinski, Arash Vahdat, Weili Nie |
| 2023 | EMNLP | Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning. | Zhuolin Yang, Wei Ping, Zihan Liu, Vijay Korthikanti, Weili Nie, De-An Huang, Linxi Fan, Zhiding Yu, Shiyi Lan, Bo Li, Mohammad Shoeybi, Ming-Yu Liu, Yuke Zhu, Bryan Catanzaro, Chaowei Xiao, Anima Anandkumar |
| 2023 | ICLR | Retrieval-based Controllable Molecule Generation. | Zichao Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard G. Baraniuk, Anima Anandkumar |
| 2023 | ICLR | Defending against Adversarial Audio via Diffusion Model. | Shutong Wu, Jiongxiao Wang, Wei Ping, Weili Nie, Chaowei Xiao |
| 2023 | ICLR | 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 |
| 2023 | ICML | I | Guan-Horng Liu, Arash Vahdat, De-An Huang, Evangelos A. Theodorou, Weili Nie, Anima Anandkumar |
| 2023 | ICML | 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 |
| 2023 | ICML | Fast Sampling of Diffusion Models via Operator Learning. | Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar |
| 2022 | CVPR | Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. | Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar |
| 2022 | ICLR | 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 |
| 2022 | ICML | Diffusion Models for Adversarial Purification. | Weili Nie, Brandon Guo, Yujia Huang, Chaowei Xiao, Arash Vahdat, Animashree Anandkumar |
| 2020 | ICML | Semi-Supervised StyleGAN for Disentanglement Learning. | Weili Nie, Tero Karras, Animesh Garg, Shoubhik Debnath, Anjul Patney, Ankit B. Patel, Animashree Anandkumar |
| 2019 | ICLR | RelGAN: Relational Generative Adversarial Networks for Text Generation. | Weili Nie, Nina Narodytska, Ankit Patel |
| 2019 | UAI | Towards a Better Understanding and Regularization of GAN Training Dynamics. | Weili Nie, Ankit Patel |
| 2018 | ICML | A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations. | Weili Nie, Yang Zhang, Ankit Patel |
| 2015 | GLOBECOM | A Comparison Study of Coupled and Decoupled Uplink-Downlink Access in Heterogeneous Cellular Networks. | Lan Zhang, Gang Feng, Weili Nie, Shuang Qin |
| 2014 | GLOBECOM | Energy-efficient base station cooperation in downlink heterogeneous cellular networks. | Weili Nie, Xiaoming Wang, Fu-Chun Zheng, Wenyi Zhang |