Tianle Wang 王天乐

Starting this fall, I will join Purdue University to pursue my Ph.D., supervised by Prof. Hongyuan Mei. I recently completed my M.S. at UC San Diego under the supervision of Prof. Jingbo Shang. Prior to that, I obtained my B.E. in 2022 from Shanghai Jiao Tong University in the ACM Honors Class.

Please check my Curriculum Vitae for more information.

Email  /  GitHub  /  Google Scholar

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Research

I'm interested in natural language processing and broad machine learning.

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AnyPrefer: An Automatic Framework for Preference Data Synthesis


Yiyang Zhou*, Zhaoyang Wang*, Tianle Wang*, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
The Thirteenth International Conference on Learning Representations, 2025

Build a framework to synthesize high-quality data for preference training.
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WOT-Class: Weakly Supervised Open-world Text Classification


Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
The Conference on Information and Knowledge Management, 2023
arxiv / code / slides /

Propose a novel framework WOT-Class in weakly supervised open-world text classification.
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A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches


Zihan Wang*, Tianle Wang*, Dheeraj Mekala, Jingbo Shang
The 61st Annual Meeting of the Association for Computational Linguistics (Findings), 2023
arxiv / code /

Developed a benchmark to compare extremely weakly supervised text classification methods.

Design and source code from Jon Barron's website