Haoli Bai

675 total citations
26 papers, 334 citations indexed

About

Haoli Bai is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics. According to data from OpenAlex, Haoli Bai has authored 26 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 2 papers in Statistical and Nonlinear Physics. Recurrent topics in Haoli Bai's work include Topic Modeling (9 papers), Advanced Neural Network Applications (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Haoli Bai is often cited by papers focused on Topic Modeling (9 papers), Advanced Neural Network Applications (7 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Haoli Bai collaborates with scholars based in China, Hong Kong and United States. Haoli Bai's co-authors include Zenglin Xu, Michael R. Lyu, Irwin King, Jiaxiang Wu, Liangjian Wen, Zhuangbin Chen, Xin Jiang, Qun Liu, Lifeng Shang and Wei Zhang and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Knowledge-Based Systems.

In The Last Decade

Haoli Bai

25 papers receiving 331 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Haoli Bai China 10 229 163 37 21 18 26 334
Chongxuan Li China 10 135 0.6× 174 1.1× 46 1.2× 18 0.9× 28 1.6× 20 341
Mehdi Rezagholizadeh Canada 9 257 1.1× 143 0.9× 27 0.7× 12 0.6× 10 0.6× 53 373
Chuming Li China 9 145 0.6× 187 1.1× 32 0.9× 9 0.4× 20 1.1× 18 326
Jingjun Bi China 7 277 1.2× 82 0.5× 71 1.9× 37 1.8× 22 1.2× 12 365
Dipti Deodhare India 10 141 0.6× 123 0.8× 38 1.0× 15 0.7× 25 1.4× 19 257
Qing Song China 8 172 0.8× 113 0.7× 47 1.3× 16 0.8× 7 0.4× 37 316
Biao Wang China 10 181 0.8× 189 1.2× 20 0.5× 14 0.7× 27 1.5× 42 327
Liangliang Li China 6 250 1.1× 118 0.7× 28 0.8× 13 0.6× 13 0.7× 13 327
Mengmeng Ma China 6 197 0.9× 117 0.7× 16 0.4× 12 0.6× 29 1.6× 7 325
Ilya Tolstikhin Germany 5 219 1.0× 247 1.5× 12 0.3× 17 0.8× 23 1.3× 9 398

Countries citing papers authored by Haoli Bai

Since Specialization
Citations

This map shows the geographic impact of Haoli Bai's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haoli Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haoli Bai more than expected).

Fields of papers citing papers by Haoli Bai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haoli Bai. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haoli Bai. The network helps show where Haoli Bai may publish in the future.

Co-authorship network of co-authors of Haoli Bai

This figure shows the co-authorship network connecting the top 25 collaborators of Haoli Bai. A scholar is included among the top collaborators of Haoli Bai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Haoli Bai. Haoli Bai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wang, Zili, Tianyu Zhang, Haoli Bai, et al.. (2025). Faster and Better LLMs via Latency-Aware Test-Time Scaling. 17124–17137.
2.
3.
Bai, Haoli, Lu Hou, Lifeng Shang, et al.. (2024). Visually Guided Generative Text-Layout Pre-training for Document Intelligence. 4713–4730. 3 indexed citations
4.
5.
Bai, Haoli, Yuening Li, Zhengzhuo Xu, et al.. (2024). IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact. 7716–7741. 5 indexed citations
6.
Tao, Chaofan, Lu Hou, Haoli Bai, et al.. (2023). Structured Pruning for Efficient Generative Pre-trained Language Models. 10880–10895. 3 indexed citations
7.
Bai, Haoli, Zhiguang Liu, Yifeng Luo, et al.. (2023). Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. 13386–13401. 3 indexed citations
8.
9.
Bai, Haoli, et al.. (2022). Dynamically Pruning Segformer for Efficient Semantic Segmentation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3298–3302. 15 indexed citations
10.
Bai, Haoli, Wei Zhang, Lu Hou, et al.. (2021). BinaryBERT: Pushing the Limit of BERT Quantization. 4334–4348. 58 indexed citations
11.
Bai, Haoli, et al.. (2021). Discrete Auto-regressive Variational Attention Models for Text Modeling. 1. 1–8. 1 indexed citations
12.
Bai, Haoli, Jiaxiang Wu, Junzhou Huang, et al.. (2020). Revisiting Parameter Sharing for Automatic Neural Channel Number Search. Neural Information Processing Systems. 33. 5991–6002. 10 indexed citations
13.
Bai, Haoli, et al.. (2020). DART: Domain-Adversarial Residual-Transfer networks for unsupervised cross-domain image classification. Neural Networks. 127. 182–192. 34 indexed citations
14.
Wei, Ying, et al.. (2020). TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. 368–378. 7 indexed citations
15.
Wen, Liangjian, et al.. (2019). Structured pruning of recurrent neural networks through neuron selection. Neural Networks. 123. 134–141. 32 indexed citations
16.
Xu, Zenglin, Bin Liu, Shandian Zhe, et al.. (2018). Variational Random Function Model for Network Modeling. IEEE Transactions on Neural Networks and Learning Systems. 30(1). 318–324. 7 indexed citations
17.
He, Lirong, et al.. (2018). Structured Inference for Recurrent Hidden Semi-markov Model. 2447–2453. 20 indexed citations
18.
Wu, Jiaxiang, et al.. (2018). PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks. 13 indexed citations
19.
Bai, Haoli, Zhuangbin Chen, Michael R. Lyu, Irwin King, & Zenglin Xu. (2018). Neural Relational Topic Models for Scientific Article Analysis. 27–36. 35 indexed citations
20.
Bai, Haoli, Zenglin Xu, Bin Liu, & Yingming Li. (2016). Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network. Asian Conference on Machine Learning. 270–285. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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