Xingchao Liu

According to our database, Xingchao Liu authored at least 33 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow.

Yuanzhi Zhu, Xingchao Liu, Qiang Liu

CoRR, 2024

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui

CoRR, 2024

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

Zhimin Li, Jianwei Zhang, Qin Lin, Jiangfeng Xiong, Yanxin Long, Xinchi Deng, Yingfang Zhang, Xingchao Liu, Minbin Huang, Zedong Xiao, Dayou Chen, Jiajun He, Jiahao Li, Wenyue Li, Chen Zhang, Rongwei Quan, Jianxiang Lu, Jiabin Huang, Xiaoyan Yuan, Xiaoxiao Zheng, Yixuan Li, Jihong Zhang, Chao Zhang, Meng Chen, Jie Liu, Zheng Fang, Weiyan Wang, Jinbao Xue, Yangyu Tao, Jianchen Zhu, Kai Liu, Sihuan Lin, Yifu Sun, Yun Li, Dongdong Wang, Mingtao Chen, Zhichao Hu, Xiao Xiao, Yan Chen, Yuhong Liu, Wei Liu, Di Wang, Yong Yang, Jie Jiang, Qinglin Lu

CoRR, 2024

PeRFlow: Piecewise Rectified Flow as Universal Plug-and-Play Accelerator.

Hanshu Yan, Xingchao Liu, Jiachun Pan, Jun Hao Liew, Qiang Liu, Jiashi Feng

CoRR, 2024

Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows.

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu

CoRR, 2024

AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies.

Xixi Hu, Bo Liu, Xingchao Liu, Qiang Liu

CoRR, 2024

LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows.

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation.

Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow.

Yuanzhi Zhu, Xingchao Liu, Qiang Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

Layer Compression of Deep Networks with Straight Flows.

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation.

Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu

CoRR, 2023

AutoML-GPT: Automatic Machine Learning with GPT.

Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou

CoRR, 2023

DISCS: A Benchmark for Discrete Sampling.

Katayoon Goshvadi, Haoran Sun, Xingchao Liu, Azade Nova, Ruqi Zhang, Will Grathwohl, Dale Schuurmans, Hanjun Dai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Diffusion Bridges on Constrained Domains.

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Xingchao Liu, Chengyue Gong, Qiang Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FlowGrad: Controlling the Output of Generative ODEs with Gradients.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Neural Volumetric Mesh Generator.

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

CoRR, 2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models.

Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu

CoRR, 2022

Diffusion-based Molecule Generation with Informative Prior Bridges.

Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ALLSH: Active Learning Guided by Local Sensitivity and Hardness.

Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Langevin-like Sampler for Discrete Distributions.

Ruqi Zhang, Xingchao Liu, Qiang Liu

Proceedings of the International Conference on Machine Learning, 2022

Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models.

Shujian Zhang, Chengyue Gong, Xingchao Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

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

CoRR, 2021

Centroid Transformers: Learning to Abstract with Attention.

Lemeng Wu, Xingchao Liu, Qiang Liu

CoRR, 2021

Sampling with Trusthworthy Constraints: A Variational Gradient Framework.

Xingchao Liu, Xin Tong, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Profiling Pareto Front With Multi-Objective Stein Variational Gradient Descent.

Xingchao Liu, Xin Tong, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Conflict-Averse Gradient Descent for Multi-task learning.

Bo Liu, Xingchao Liu, Xiaojie Jin, Peter Stone, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach.

Chengyue Gong, Xingchao Liu, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision.

Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Certified Monotonic Neural Networks.

Xingchao Liu, Xing Han, Na Zhang, Qiang Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Starts Better and Ends Better: A Target Adaptive Image Signature Tracker.

Xingchao Liu, Ce Li, Hongren Wang, Xiantong Zhen, Baochang Zhang, Qixiang Ye

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

Robust kernelized correlation filter with scale adaption for real-time single object tracking.

Ce Li, Xingchao Liu, Xiangbo Su, Baochang Zhang

J. Real Time Image Process., 2018