Haoli Bai

According to our database, Haoli Bai authored at least 35 papers between 2016 and 2024.

Collaborative distances:

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

2024

FlatQuant: Flatness Matters for LLM Quantization.

Yuxuan Sun, Ruikang Liu, Haoli Bai, Han Bao, Kang Zhao, Yuening Li, Jiaxin Hu, Xianzhi Yu, Lu Hou, Chun Yuan, Xin Jiang, Wulong Liu, Jun Yao

CoRR, 2024

S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models.

Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh

CoRR, 2024

Visually Guided Generative Text-Layout Pre-training for Document Intelligence.

Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong

CoRR, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric.

Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun

CoRR, 2024

Visually Guided Generative Text-Layout Pre-training for Document Intelligence.

Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong

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

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models.

Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric.

Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Surr

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact.

Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Structured Pruning for Efficient Generative Pre-trained Language Models.

Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Yifeng Luo, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

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

2022

Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding.

Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu

CoRR, 2022

Towards Efficient Post-training Quantization of Pre-trained Language Models.

Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu

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

Dynamically Pruning Segformer for Efficient Semantic Segmentation.

Haoli Bai, Hongda Mao, Dinesh Nair

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Gradient estimation of information measures in deep learning.

Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu

Knowl. Based Syst., 2021

Discrete Auto-regressive Variational Attention Models for Text Modeling.

Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King

Proceedings of the International Joint Conference on Neural Networks, 2021

DAP-BERT: Differentiable Architecture Pruning of BERT.

Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu

Proceedings of the Neural Information Processing - 28th International Conference, 2021

BinaryBERT: Pushing the Limit of BERT Quantization.

Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Structured pruning of recurrent neural networks through neuron selection.

Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu

Neural Networks, 2020

DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification.

Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu

Neural Networks, 2020

Bayesian Automatic Model Compression.

Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng

IEEE J. Sel. Top. Signal Process., 2020

BinaryBERT: Pushing the Limit of BERT Quantization.

Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King

CoRR, 2020

Discrete Variational Attention Models for Language Generation.

Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King

CoRR, 2020

Efficient Bitwidth Search for Practical Mixed Precision Neural Network.

Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu

CoRR, 2020

Revisiting Parameter Sharing for Automatic Neural Channel Number Search.

Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng

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

TranSlider: Transfer Ensemble Learning from Exploitation to Exploration.

Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

M-NAS: Meta Neural Architecture Search.

Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

RTN: Reparameterized Ternary Network.

Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Few Shot Network Compression via Cross Distillation.

Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Variational Random Function Model for Network Modeling.

Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville

IEEE Trans. Neural Networks Learn. Syst., 2019

Structured Pruning of Recurrent Neural Networks through Neuron Selection.

Liangjiang Wen, Xueyang Zhang, Haoli Bai, Zenglin Xu

CoRR, 2019

2018

Structured Inference for Recurrent Hidden Semi-markov Model.

Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Neural Relational Topic Models for Scientific Article Analysis.

Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Stochastic Sequential Neural Networks with Structured Inference.

Hao Liu, Haoli Bai, Lirong He, Zenglin Xu

CoRR, 2017

Learning from semantically dependent multi-tasks.

Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network.

Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li

Proceedings of The 8th Asian Conference on Machine Learning, 2016