Haoli Bai

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 40

Top Topics

Gradient Estimation

Probabilistic Matrix Factorization

Top Venues

Publications

Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. CoRR (2024)
Zhiming Mao, Haoli Bai, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu, Kam-Fai Wong
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. CoRR (2024)
Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric. CoRR (2024)
Zhiming Mao, Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong
Visually Guided Generative Text-Layout Pre-training for Document Intelligence. NAACL-HLT (2024)
Parsa Kavehzadeh, Mohammadreza Pourreza, Mojtaba Valipour, Tinashu Zhu, Haoli Bai, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
S2D: Sorted Speculative Decoding For More Efficient Deployment of Nested Large Language Models. CoRR (2024)
Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou, Carlo Vittorio Cannistraci
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models. ICLR (2024)
Ruikang Liu, Haoli Bai, Haokun Lin, Yuening Li, Han Gao, Zhengzhuo Xu, Lu Hou, Jun Yao, Chun Yuan
IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. ACL (Findings) (2024)
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
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. ACL (1) (2023)
Chaofan Tao, Lu Hou, Haoli Bai, Jiansheng Wei, Xin Jiang, Qun Liu, Ping Luo, Ngai Wong
Structured Pruning for Efficient Generative Pre-trained Language Models. ACL (Findings) (2023)
Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. CoRR (2022)
Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
Towards Efficient Post-training Quantization of Pre-trained Language Models. NeurIPS (2022)
Haoli Bai, Hongda Mao, Dinesh Nair
Dynamically Pruning Segformer for Efficient Semantic Segmentation. ICASSP (2022)
Liangjian Wen, Haoli Bai, Lirong He, Yiji Zhou, Mingyuan Zhou, Zenglin Xu
Gradient estimation of information measures in deep learning. Knowl. Based Syst. 224 (2021)
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
Discrete Auto-regressive Variational Attention Models for Text Modeling. CoRR (2021)
Chung-Yiu Yau, Haoli Bai, Irwin King, Michael R. Lyu
DAP-BERT: Differentiable Architecture Pruning of BERT. ICONIP (1) (2021)
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jin Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
BinaryBERT: Pushing the Limit of BERT Quantization. ACL/IJCNLP (1) (2021)
Haoli Bai, Lu Hou, Lifeng Shang, Xin Jiang, Irwin King, Michael R. Lyu
Towards Efficient Post-training Quantization of Pre-trained Language Models. CoRR (2021)
Haoli Bai, Hongda Mao, Dinesh Nair
Dynamically pruning segformer for efficient semantic segmentation. CoRR (2021)
Xianghong Fang, Haoli Bai, Jian Li, Zenglin Xu, Michael R. Lyu, Irwin King
Discrete Auto-regressive Variational Attention Models for Text Modeling. IJCNN (2021)
Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang
TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. KDD (2020)
Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu
Efficient Bitwidth Search for Practical Mixed Precision Neural Network. CoRR (2020)
Xianghong Fang, Haoli Bai, Zenglin Xu, Michael R. Lyu, Irwin King
Discrete Variational Attention Models for Language Generation. CoRR (2020)
Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Jian Cheng
Bayesian Automatic Model Compression. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
RTN: Reparameterized Ternary Network. AAAI (2020)
Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu
DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks 127 (2020)
Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael R. Lyu, Irwin King
BinaryBERT: Pushing the Limit of BERT Quantization. CoRR (2020)
Jiaxing Wang, Haoli Bai, Jiaxiang Wu, Xupeng Shi, Junzhou Huang, Irwin King, Michael R. Lyu, Jian Cheng
Revisiting Parameter Sharing for Automatic Neural Channel Number Search. NeurIPS (2020)
Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu
Structured pruning of recurrent neural networks through neuron selection. Neural Networks 123 (2020)
Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
Few Shot Network Compression via Cross Distillation. AAAI (2020)
Jiaxing Wang, Jiaxiang Wu, Haoli Bai, Jian Cheng
M-NAS: Meta Neural Architecture Search. AAAI (2020)
Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang
RTN: Reparameterized Ternary Network. CoRR (2019)
Zenglin Xu, Bin Liu, Shandian Zhe, Haoli Bai, Zihan Wang, Jennifer Neville
Variational Random Function Model for Network Modeling. IEEE Trans. Neural Networks Learn. Syst. 30 (1) (2019)
Liangjiang Wen, Xueyang Zhang, Haoli Bai, Zenglin Xu
Structured Pruning of Recurrent Neural Networks through Neuron Selection. CoRR (2019)
Haoli Bai, Jiaxiang Wu, Irwin King, Michael R. Lyu
Few Shot Network Compression via Cross Distillation. CoRR (2019)
Hao Liu, Lirong He, Haoli Bai, Bo Dai, Kun Bai, Zenglin Xu
Structured Inference for Recurrent Hidden Semi-markov Model. IJCAI (2018)
Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, Zenglin Xu
Neural Relational Topic Models for Scientific Article Analysis. CIKM (2018)
Xianghong Fang, Haoli Bai, Ziyi Guo, Bin Shen, Steven C. H. Hoi, Zenglin Xu
DART: Domain-Adversarial Residual-Transfer Networks for Unsupervised Cross-Domain Image Classification. CoRR (2018)
Bin Liu, Zenglin Xu, Bo Dai, Haoli Bai, Xianghong Fang, Yazhou Ren, Shandian Zhe
Learning from semantically dependent multi-tasks. IJCNN (2017)
Hao Liu, Haoli Bai, Lirong He, Zenglin Xu
Stochastic Sequential Neural Networks with Structured Inference. CoRR (2017)
Haoli Bai, Zenglin Xu, Bin Liu, Yingming Li
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. ACML (2016)