Xixun Lin / 林希珣
Senior Algorithm Engineer at Baidu Search
Baidu Technology Park, No.10 Yard, Xibeiwang East Road, Haidian District, Beijing.
agblinxx[at]gmail.com
Biography
I am currently a Senior Algorithm Engineer at the Web Search Ranking Strategy Group. Before that, I received my Ph.D. degree from University of Chinese Academy of Sciences (UCAS) in 2022, under the supervision of Prof. Chuan Zhou and Prof. Bin Wang. My research interests broadly include Graph Representation Learning, Deep Bayesian Learning and Recommender Systems. Now, I am focusing on the frontier exploration and practical application of Large-scale CTR Models. I have published several papers in top-tier journals and conferences such as IEEE TKDE, TNNLS, WWW, ICDM, WSDM and SIGIR.
News
- [2023/07] Accepted to serve as PC member for AAAI 2024.
- [2023/06] Accepted to serve as reviewer for scientific reports.
- [2022/09] Accepted to serve as reviewer for ACM TKDD.
- [2022/09] One paper about Graph Adversarial Attacks was accepted to PR.
- [2022/08] Accepted to serve as PC member for AAAI 2023.
- [2022/05] One paper about Few-shot Graph Classification was accepted to IEEE TNNLS.
- [2022/02] One paper about Cross-domain Recommendation was accepted to SIGIR 2022.
- [2021/08] One paper about Deep Temporal Point Processes was accepted to ICDM 2021.
- [2021/06] One paper about Temporal Interaction Networks was accepted to ECML 2021.
- [2021/01] One paper about Cold-start Recommendation was accepted to WWW 2021.
Research
(#) denotes equal contribution and (*) denotes corrpesonding author.
Preprints
Modeling Continuous Uncertainty on Dynamic Graphs
Wenxiao Zhang, Xixun Lin*, Fengzhao Shi, Chuan Zhou, Shirui Pan, Yanan Cao, Dawei Yin.
International World Wide Web Conferences (WWW 2024, under review)
CGMTL: Learning Causal Structure for Graph Multi-task Learning
Xixun Lin, Qing Yu, Renqi Jia, Chuan Zhou, Lixin Zou, Jia Wu, Shirui Pan, Chenliang Li, Xiangyu Zhao, Wenwen Ye, Shuaiqiang Wang, Dawei Yin.
Conference on Neural Information Processing Systems (NeurIPS 2023, under review)
Publications
Towards Flexible and Adaptive Neural Process for Cold-start Recommendation
Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin.
IEEE Transactions on Knowledge and Data Engineering (TKDE)
Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification
Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang.
Pattern Recognition (PR)
Structure-Aware Prototypical Neural Process for Few-Shot Graph Classification
Xixun Lin, Zhao Li, Peng Zhang, Luchen Liu, Chuan Zhou, Bin Wang.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
Learning Disentangled Representation of Cross-Domain Recommendation
Jiangxia Cao, Xixun Lin, Xin Cong, Tingwen Liu, Jing Ya, Bin Wang.
International Conference on Research on Development in Information Retrieval (SIGIR 2022)
Learning Common Dependency Structure for Unsupervised Cross-Domain NER
Luchen liu, Xixun Lin, Peng Zhang, Lei Zhang, Bin Wang.
International Conference on Acoustics, Speech and SP (ICASSP 2022)
Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences
Xixun Lin, Jiangxia Cao, Peng Zhang, Chuan Zhou, Zhao Li, Jia Wu, Bin Wang.
International Conference on Data Mining (ICDM 2021, Best Ranked Papers)
Deep Structural Point Process for Learning Temporal Interaction Networks
Jiangxia Cao, Xixun Lin*, Xin Cong, Shu Guo, Hengzhu Tang, Tingwen Liu*, Bin Wang.
European Conference on Machine Learning (ECML 2021)
Task-adaptive Neural Process for User Cold-Start Recommendation
Xixun Lin, Jia Wu, Chuan Zhou, Shirui Pan, Yanan Cao, Bin Wang.
International World Wide Web Conferences (WWW 2021, Candidates of Best Research Paper Awards)
Improving Cross-domain Slot Filling with Common Syntactic Structure
Luchen liu, Xixun Lin, Peng Zhang, Bin Wang.
International Conference on Acoustics, Speech and SP (ICASSP 2021)
Bipartite Graph Embedding via Mutual Information Maximization
Xixun Lin#, Jiangxia Cao#, Shu Guo, Luchen Liu, Tingwen Liu, Bin Wang.
ACM International Conference on Web Search and Data Mining (WSDM 2021)
Exploratory Adversarial Attacks on Graph Neural Networks
Xixun Lin, Chuan Zhou, Hong Yang, Jia Wu, Haibo Wang, Yanan Cao, Bin Wang.
International Conference on Data Mining (ICDM 2020)
Guiding Cross-lingual Entity Alignment via Adversarial Knowledge Embedding
Xixun Lin, Hong Yang, Jia Wu, Chuan Zhou, Bin Wang.
International Conference on Data Mining (ICDM 2019)
Relation Path Embedding in Knowledge Graphs
Xixun Lin, Yanchun Liang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan.
Neural Computing and Applications (NCAA)
Academic Services
- Program Committee Member: TNNLS, TKDD, AAAI, ICDM, IJCNN, etc.
Selected Awards
- 2022. AIDU Talent Program, Baidu Inc..
- 2022. Beijing Outstanding Graduates, Beijing Municipal Education Commission.
- 2021. Pacemaker to Merit Student, UCAS.