About me (CV|简历)

I am currently a PhD student in the Department of Data Science, City University of Hong Kong, since Sep. 2025.
I conduct research at Miaow Lab, under the supervision of Prof. Ning Miao.
I received my MPhil in Computer Science from the University of Hong Kong in Jul. 2024, where I studied under the supervision of Prof. Chao Huang, and my B.Eng. in Computer Science from Beijing University of Posts and Telecommunications in Jul. 2022.

Recent News

(2023.10.20) The paper SSLRec: A Self-Supervised Learning Library for Recommendation gets accepted to WSDM 2024!

(2023.4.20) The paper Denoised Self-Augmented Learning for Social Recommendation gets accepted to IJCAI 2023!

(2022.4.1) I receive an offer from the University of Hong Kong!

(2021.12.10) The paper Modeling review helpfulness with augmented transformer neural networks gets accepted to ICSC 2022!

(2021.10.24) The paper Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction gets accepted to BIBM 2021!

at City University of Hong Kong — Sep. 2025 - present

Miaow Lab
Supervisor: Prof. Ning Miao

at the University of Hong Kong — Sep. 2022 - Jul. 2024

Data Intelligence Lab@HKU
Supervisor: Prof. Chao Huang

at Beijing University of Posts and Telecommunications — Sep. 2018 - Jul. 2022

Overall GPA: 90.05/100 (ranking 1st/69)

Foundation Model Team, Beijing, China — Jun. 2025 - Jun. 2026

My current research interests include LLM Post-training and Data Mining.

Tianle Wang, Jiayu Liu, Zhongyuan Wu, Shenghao Jin, Hao Xu, Ning Miao*. Linear Dynamics in the RLVR Training of Large Language Models. arXiv, 2026. [PDF]
Tianle Wang, Jiayu Liu, Ruizhi Zhao, Ning Miao*. SAPD: Step-Aligned Privileged Distillation. arXiv, 2026. [PDF]
Tianle Wang, Lianghao Xia, Chao Huang. Denoised Self-Augmented Learning for Social Recommendation. International Joint Conference on Artificial Intelligence (IJCAI), 2023. [PDF]
Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang*. SSLRec: A Self-Supervised Learning Library for Recommendation. ACM International Conference Web Search and Data Mining (WSDM), 2023. [PDF]
Yunkai Xiao†, Tianle Wang†, Xinhua Sun, Yicong Li, Yang Song, Jialin Cui, Qinjin Jia, Chengyuan Liu, Edward F Gehringer. Modeling review helpfulness with augmented transformer neural networks. IEEE International Conference on Semantic Computing (ICSC), 2022. [PDF]
Xianbing Feng, Jingwei Qu, Tianle Wang, Bei Wang, Xiaoqing Lyu, Zhi Tang. Attention-enhanced Graph Cross-convolution for Protein-Ligand Binding Affinity Prediction. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021. [PDF]
Jingwei Qu, Xiaoqing Lyu, Tianle Wang. Semantic Alignment Learning Based on Triple Sampling Method, Patent for Invention (Patent Application Number: 202110516741.5), 2021.

[23/June/2025] Entropy Maximization Alone Can Improve LLM Reasoning Performance? [Notion]

Beijing Outstanding Graduates, Beijing, 2022
1st Prize of the ”Challenge Cup” Capital Undergraduate Curricular Academic, Beijing, 2021
Science and Technology Works by Race, Beijing, 2021
Huawei Scholarship (selected from the School’s 1st-class Scholarship winners), BUPT, 2020
Merit Student, BUPT, 2020 & 2021.
2nd Prize of Beijing College Mechanical Innovation Competition, Bei
jing, 2020
3rd Prize of China College Students’ ’Internet Plus’ Innovation and
Entrepreneurship Competition, Beijing, 2020