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Hi there, thanks for visiting my website! I am a fourth-year undergraduate student at Xi'an Jiaotong University, majoring in computer science and technology. My research focuses on knowledge base, social network analysis, natural language processing, and graph neural networks advised by Prof. Minnan Luo. I'm serving as the director of LUD lab, the premiere undergraduate research group @ XJTU. In 2022, I spent a summer at KEG @ THU to work with Prof. Yuxiao Dong. I have the fortune to work with brilliant mentors, collaborators, and advisors during my undergraduate and I am truly grateful for their guidance and help. If you feel like I can be of some help to your research career, welcome to reach out, I'd be happy to chat.☕ Also, please feel free to drop me an Email for any form of communication or collaboration!😆
Email: CV / Google Scholar / Semantic Scholar / Twitter / Github |
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My research interests lie in the intersection of graph mining (especially knowledge graphs and social networks) and natural language processing, with a special focus on these two topics:
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Zhaoxuan Tan*, Shangbin Feng*, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov arXiv preprint arXiv:2302.00381, 2023. demo / tweet We introduce the concept of community-level Twitter bot detection and develope BotPercent, a multi-dataset, multi-model Twitter bot detection pipeline. Utilizing BotPercent, we investigate the presence of bots in various Twitter communities and discovered that bot distribution is heterogeneous in both space and time. |
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Zhaoxuan Tan, Zilong Chen, Shangbin Feng, Qingyue Zhang, Qinghua Zheng, Jundong Li, Minnan Luo Proceedings of The Web Conference (WWW), 2023. code / talk We adopt contrastive learning and knowledge relational attention network to alleviate the widespread sparsity problem in knowledge graphs. |
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Shangbin Feng*, Zhaoxuan Tan*, Herun Wan*, Ningnan Wang*, Zilong Chen*, Binchi Zhang*, Qinghua Zheng, Wenqian Zhang, Zhenyu Lei, Shujie Yang, Xinshun Feng, Qingyue Zhang, Hongrui Wang, Yuhan Liu, Yuyang Bai, Heng Wang, Zijian Cai, Yanbo Wang, Lijing Zheng, Zihan Ma, Jundong Li, Minnan Luo Proceedings of the Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track, 2022. website / GitHub / bibtex / poster We present TwiBot-22, the largest graph-based Twitter bot detection benchmark to date, which provides diversified entities and relations in Twittersphere and has considerably better annotation quality. |
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Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Peisheng Yu, Qinghua Zheng, Xiaojun Chang, Minnan Luo Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022. code / bibtex / poster We propose to learn representations of political actors with social context and expert knowledge, while applying learned representations in computational political science. |
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Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2022. slides / code / bibtex We propose the relational graph transformers GNN architecture to leverage the intrinsic relation heterogeneity and influence heterogeneity in Twitter network. |
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Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov arXiv preprint arXiv:2210.04105, 2022 We propose KALM, a Knowledge-Aware Language Model that jointly incorporates external local, document-level, and global context knowledge. |
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Shujie Yang, Binchi Zhang, Shangbin Feng, Zhaoxuan Tan, Qinghua Zheng, Ziqi Liu, Minnan Luo. arXiv preprint arXiv:2208.08200, 2022. We propose a graph anomaly detection framework based on triple attention named AHEAD to leverage heterogeneity in attributed networks. |
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Xi'an Jiaotong University
2019.08 - 2023.07 (Expected) B.E. in Computer Science and Technology GPA: 89.1 (+3) / 100.0 [top 6%] Advisor: Prof. Minnan Luo |
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Tsvetshop @ University of Washington Research Assistant 2022.10 - 2023.01 Developed a multi-dataset multi-model Twitter bot detection pipeline to probe what percentage of users on Twitter are bots. Collaborator: Shangbin Feng, Melanie Sclar Advisor: Prof. Yulia Tsvetkov |
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Virtual Collaboration @ National University of Singapore Research Assistant 2022.08 - 2023.02 Working on a project that aims to understand the effect of anthropomorphic features on human-chatbot interaction. Collaborator: Xin Huang, Zicheng Zhu Advisor: Prof. Renwen Zhang |
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Knowledge Engineering Group (KEG) @ Tsinghua University Research Assistant 2022.04 - 2022.11 Worked on kgTransformerv2: unifying reasoning tasks on large-scale knowledge graphs with pretraining-finetuning paradigm. Won 4-th place in OGB@NeurIPS 2022 competition WikiKG90Mv2 track (CogDL-kgTransformer). Mentor: Xiao Liu Advisor: Prof. Yuxiao Dong |
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Luo lab Undergraduate Division (LUD) @ Xi'an Jiaotong University
Director 2022.06 - present promoting undergraduate research by leading a 17-person undergraduate group, and mentoring 9 schoolmates alongside the other senior students. Member 2021.08 - 2022.06 Conducted research on various topics including social network analysis, knowledge graph embedding, political actors representation learning, and heterogeneous graph anomaly detection. Advisor: Prof. Minnan Luo |
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Luo lab Undergraduate Division (LUD)Director from 2022.06 to present Official lab website Lead a undergraduate reasearch group that promotes undergraduate research and bridges the gap between undergraduate studies and graduate research. |
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Template courtesy: Jon Barron.
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