E-Mail：liandefu@ustc.edu.cn
個人主頁：http://staff.ustc.edu.cn/~liandefu
主要研究方向：可信人工智能、高維向量檢索、機器學習理論
連德富，國家優青，中國科學技術大學特任教授，博士生導師，現任188滚球网 副院長。曾任電子科技大學副教授、悉尼科技大學訪問學者，曾入選微軟亞洲研究院鑄星計劃。主要研究方向包括大規模分類、深度學習、因果機器學習等，研發了RecStudio開源推薦係統和FuxiTS時序預測和檢測係統，主持了國家自然科學基金優秀青年科學基金、麵上項目，科技部科技創新2030重大項目課題，國防科技173重點項目等。他在KDD、NeurIPS、TPAMI、TKDE等CCF-A類會議和期刊發表論文90餘篇。曾獲得教育部自然科學一等獎、CCF自然科學一等獎、安徽省教學成果一等獎、四川省教學成果二等獎、APWeb 2016最佳學生論文、WWW 2021最佳論文候選、WISE 2022最佳論文獎等。
獲獎情況：
2023 CCF科技成果獎自然科學一等獎（排名第二）
2023 KDD Cup Next Product Recommendation/Generation 兩個賽道分獲季軍和亞軍（全球高校冠軍）
2023 RecSys Challenge 第三名
2022 NeurIPS Traffic4Cast 比賽雙賽道冠軍
2022 中科大招生先進個人
2022 NeurIPS Top Reviewers
2022 WISE Best Paper Award
2021 楊元慶教育基金
2021 中科大招生先進個人
2021 安徽省教學成果獎一等獎（排名第7）
2020 中科大優秀班主任
2019 計算機學院“新創學者”
2018 計算機學院“新創學者”
2018 教育部高等學校科學研究優秀成果獎自然科學一等獎（排名第4）
2018 四川省教學成果獎二等獎（排名第5）
2016 APWeb best student paper runner up
代表性論著：
1. Zepu Lu, Jin Chen, Defu Lian*, Zaixi Zhang, Yong Ge and Enhong Chen. Knowledge Distillation for High Dimensional Search Index. The 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Dec. 2023.
2. Wuchao Li, Chao Feng, Defu Lian*, Yuxin Xie, Haifeng Liu, Yong Ge, and Enhong Chen. Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), pp. 1353-1362, Aug. 2023
3. Chenwang Wu, Xiting Wang, Defu Lian*, Xing Xie, and Enhong Chen. A Causality Inspired Framework for Model Interpretation. The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023), pp. 2731-2741, Aug. 2023
4. Chenwang Wu, Defu Lian*, Yong Ge, Zhihao Zhu, and Enhong Chen. Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(10), 2023
5. Zhaoyi Li, Ying Wei and Defu Lian*. Learning to Substitute Spans towards Improving Compositional Generalization. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), pp. 2791-2811, July 2023.
6. Xu Huang, Defu Lian*, Jin Chen, Liu Zheng, Xing Xie and Enhong Chen. Cooperative Retriever and Ranker in Deep Recommenders. The 32nd Web Conference (WWW 2023), pp. 1150-1161, Apr. 2023.
7. Chao Feng, Wuchao Li, Defu Lian*, Zheng Liu and Enhong Chen. Recommender Forest for Efficient Retrieval. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), pp. 38912-38924, Dec. 2022
8. Leyan Deng, Defu Lian*, Chenwang Wu and Enhong Chen. Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), pp. 3900-3912, Dec. 2022
9. Jin Chen, Defu Lian*, Yucheng Li, Baoyun Wang, Kai Zheng and Enhong Chen. Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. The 36th Annual Conference on Neural Information Processing Systems (NeurIPS 2022), pp. 34817-34830, Dec. 2022
10. Defu Lian, Xing Xie, Enhong Chen and Hui Xiong. Product Quantized Collaborative Filtering. IEEE Transaction on Knowledge and Data Engineering (IEEE TKDE), 33(9), 2021
11. Qi Liu, Jin Zhang, Defu Lian*, Yong Ge, Jianhui Ma and Enhong Chen. Online Additive Quantization. The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2021), pp. 1098-1108, Aug. 2021.
12. Yongji Wu, Defu Lian*, Neil Gong, Lu Yin, Mingyang Yin, Jingren Zhou and Hongxia Yang. Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. The 30th Web Conference (WWW 2021), pp. 1262-1273, virtual, Apr. 2021
13. Defu Lian, Yongji Wu, Yong Ge, Xing Xie and Enhong Chen. Geography-Aware Sequential Location Recommendation. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2020), pp. 2009–2019, Aug. 2020.
14. Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen and Xing Xie. LightRec: a Memory and Search-Efficient Recommender System. The 29th Web Conference (WWW 2020), pp. 695–705, Apr. 2020
15. Defu Lian, Qi Liu and Enhong Chen. Personalized Ranking with Importance Sampling. The 29th Web Conference (WWW 2020), pp. 1093–1103, Apr. 2020
