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I am a second-year Ph.D. student at Yale University, advised by Prof. Rex Ying. Previously, I worked with Prof. Jie Tang from Tsinghua University, and Prof. Tat-Seng Chua from National University of Singapore. My research interests revolve around computational biology, including macromolecule modeling and geometric deep learning on 3D molecular structure.
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Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 An extensive review of the landscape of negative sampling techniques across different domains. |
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Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin MLSB Workshop, NeurIPS, 2023 Propose an equivariant transformer architecture based on frame averaging and two nucleic aicd-proten complex (DNA/RNA-protein) datasets. |
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Tinglin Huang, Ziniu Hu, Rex Ying NeurIPS, 2023 PDF / Code A routing-based molecule dataset grouping method. |
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Zhen Yang*, Tinglin Huang*, Ming Ding*, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang KDD, 2023 PDF / Code A global negative sampling method for contrastive learning. |
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Wenzheng Feng, Yuxiao Dong, Tinglin Huang, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, Jie Tang WWW, 2022 PDF / Code A scalable GNN framework for semi-supervised graph learning. |
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Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, Jie Tang KDD, 2021 PDF / Code A general negative sampling plugin for GNN-based recommender systems. |
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Xiang Wang*, Tinglin Huang*, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua WWW, 2021 PDF / Code We proposed KGIN which (1) uncovers useritem relationships at the granularity of intents, and (2) applies relational path-aware aggregation. |
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Last updated February 2024.
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