Publication

Fast Point Cloud Generation with Straight Flows

Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu

Computer Vision and Pattern Recognition (CVPR) 2023

[paper] 

FlowGrad: Controlling the Output of Generative ODEs with Gradients

Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu

Computer Vision and Pattern Recognition (CVPR) 2023

PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion

Lemeng Wu, Dilin Wang, Meng Li, Yunyang Xiong, Raghuraman Krishnamoorthi, Qiang Liu, Vikas Chandra

Arxiv Preprint

[paper] 

Learning Diffusion Bridges on Constrained Domains

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

International Conference on Learning Representations (ICLR) 2023

[paper]

Neural Volumetric Mesh Generator

Yan Zheng*, Lemeng Wu*, Xingchao Liu, Zhen Chen, Qiang Liu, Qixing Huang

NeurIPS 2022 Workshop on Score-Based Methods

[paper]

Diffusion-based Molecule Generation with Informative Prior Bridges

Lemeng Wu*, Chengyue Gong*, Qiang Liu

Neural Information Processing Systems (NeurIPS) 2022

[paper] 

First Hitting Diffusion Models

Mao Ye, Lemeng Wu, Qiang Liu

Neural Information Processing Systems (NeurIPS) 2022

[paper] 

How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity

Chengyue Gong*, Lemeng Wu*, Qiang Liu

Proceedings of the 39th International Conference on Machine Learning (ICML) 2022

[paper]

Residual Mixture of Experts

Lemeng Wu, Mengchen Liu, Yinpeng Chen, Dongdong Chen, Xiyang Dai, Yuan Lu

Arxiv Preprint

[paper]

Fusedream: Training-free text-to-image generation with improved clip+ gan space optimization

Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu

Arxiv Preprint

[paper | code]

Centroid transformers: Learning to abstract with attention

Lemeng Wu, Xingchao Liu, Qiang Liu

Arxiv Preprint

[paper]

Firefly Neural Architecture Descent: a General Approach for Growing Neural Networks

Lemeng Wu*, Bo Liu*, Peter Stone and Qiang Liu

Neural Information Processing Systems (NeurIPS) 2020  

[paper | code]

Greedy Optimization Provably Wins the Lottery: Logarithmic Number of Winning Tickets is Enough

Mao Ye*, Lemeng Wu* and Qiang Liu

Neural Information Processing Systems (NeurIPS) 2020  

[paper | code]

Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent

Dilin Wang*, Meng Li*,  Lemeng Wu, Vikas Chandra and Qiang Liu

NeurIPS 2019 Workshop on Energy Efficient Machine Learning and Cognitive Computing

[paper | code]

Splitting Steepest Descent for Progressive Training of Neural Networks

Qiang Liu,  Lemeng Wu* and Dilin Wang*  

Neural Information Processing Systems (NeurIPS) 2019    Spotlight

[paper | code]

Path-Invariant Map Networks. 

Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang.

Computer Vision and Pattern Recognition (CVPR) 2019.   Oral Presentation

[paper]

Generating Animated Videos of Human Activities from Natural Language Descriptions 

 Lemeng Wu*, Angela S. Lin*, Rodolfo Corona, Kevin Tai, Qixing Huang, and Raymond J. Mooney 

Visually Grounded Interaction and Language Workshop at NeurIPS, 2018  

[paper]