Fuzhao Xue

According to our database, Fuzhao Xue authored at least 29 papers between 2019 and 2024.

Collaborative distances:

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

2024

LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Fuzhao Xue, Yukang Chen, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Ethan He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CoRR, 2024

Wolf: Captioning Everything with a World Summarization Framework.

Boyi Li, Ligeng Zhu, Ran Tian, Shuhan Tan, Yuxiao Chen, Yao Lu, Yin Cui, Sushant Veer, Max Ehrlich, Jonah Philion, Xinshuo Weng, Fuzhao Xue, Andrew Tao, Ming-Yu Liu, Sanja Fidler, Boris Ivanovic, Trevor Darrell, Jitendra Malik, Song Han, Marco Pavone

CoRR, 2024

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures.

Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

CoRR, 2024

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Recent advances in deep learning based dialogue systems: a systematic survey.

Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Erik Cambria

Artif. Intell. Rev., April, 2023

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline.

Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You

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

To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis.

Fuzhao Xue, Yao Fu, Wangchunshu Zhou, Zangwei Zheng, Yang You

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

Adaptive Computation with Elastic Input Sequence.

Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You

Proceedings of the International Conference on Machine Learning, 2023

A Study on Transformer Configuration and Training Objective.

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You

Proceedings of the International Conference on Machine Learning, 2023

One Student Knows All Experts Know: From Sparse to Dense.

Fuzhao Xue, Xiaoxin He, Xiaozhe Ren, Yuxuan Lou, Yang You

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Hierarchical Dialogue Understanding with Special Tokens and Turn-level Attention.

Xiao Liu, Jian Zhang, Heng Zhang, Fuzhao Xue, Yang You

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Sequence Parallelism: Long Sequence Training from System Perspective.

Shenggui Li, Fuzhao Xue, Chaitanya Baranwal, Yongbin Li, Yang You

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU.

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

RACP: A network with attention corrected prototype for few-shot speaker recognition using indefinite distance metric.

Xingmei Wang, Jiaxiang Meng, Bin Wen, Fuzhao Xue

Neurocomputing, 2022

Deeper vs Wider: A Revisit of Transformer Configuration.

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You

CoRR, 2022

CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU.

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qing, Youlong Cheng, Yang You

CoRR, 2022

An Embarrassingly Simple Model for Dialogue Relation Extraction.

Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng

Proceedings of the IEEE International Conference on Acoustics, 2022

Automated Audio Captioning Using Transfer Learning and Reconstruction Latent Space Similarity Regularization.

Andrew Koh, Fuzhao Xue, Chng Eng Siong

Proceedings of the IEEE International Conference on Acoustics, 2022

Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation.

Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Go Wider Instead of Deeper.

Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Large-Scale Deep Learning Optimizations: A Comprehensive Survey.

Xiaoxin He, Fuzhao Xue, Xiaozhe Ren, Yang You

CoRR, 2021

Sparse-MLP: A Fully-MLP Architecture with Conditional Computation.

Yuxuan Lou, Fuzhao Xue, Zangwei Zheng, Yang You

CoRR, 2021

Sequence Parallelism: Making 4D Parallelism Possible.

Shenggui Li, Fuzhao Xue, Yongbin Li, Yang You

CoRR, 2021

Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey.

Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria

CoRR, 2021

GDPNet: Refining Latent Multi-View Graph for Relation Extraction.

Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng

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

2020

A network model of speaker identification with new feature extraction methods and asymmetric BLSTM.

Xingmei Wang, Fuzhao Xue, Wei Wang, Anhua Liu

Neurocomputing, 2020

An Embarrassingly Simple Model for Dialogue Relation Extraction.

Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng

CoRR, 2020

Deep Graph Random Process for Relational-Thinking-Based Speech Recognition.

Hengguan Huang, Fuzhao Xue, Hao Wang, Ye Wang

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Underwater Acoustic Target Recognition: A Combination of Multi-Dimensional Fusion Features and Modified Deep Neural Network.

Xingmei Wang, Anhua Liu, Yu Zhang, Fuzhao Xue

Remote. Sens., 2019