[Eng blog: Pinterest-3] How Pinterest Leverages Realtime User Actions in Recommendation to Boost…🤗 Machine learning Engineer blog challenge (3/100)Jan 15, 2023Jan 15, 2023
[Eng blog: Doordash-22] Using a Multi-Armed Bandit with Thompson Sampling to Identify Responsive…🤗 Machine learning Engineer blog challenge (2/100)Aug 8, 2022Aug 8, 2022
[Eng blog: Doordash-21] Using Triplet Loss and Siamese Neural Networks to Train Catalog Item…🤗 Machine learning Engineer blog challenge (1/100)Jul 23, 2022Jul 23, 2022
KDD 21':Understanding and Improving Fairness-Accuracy Trade-offs in Multi-Task Learning (google)🤗 Recommendation system paper challenge (31/50)Jul 10, 2022Jul 10, 2022
KDD 21':Learning to Embed Categorical Features without Embedding Tables for Recommendation (🤗 Recommendation system paper challenge (30/50)Jul 7, 2022Jul 7, 2022
KDD 21': Sampling-bias-corrected neural modeling for large corpus item recommendations🤗 Recommendation system paper challenge (29/50)Jan 3, 2022Jan 3, 2022
Federated LearningKDD Invited Talks — Preserving Data Privacy in Federated Learning — Xiaokui XiaoDec 30, 2021Dec 30, 2021
2021好萊塢環球影城 遊記https://www.universalstudioshollywood.com/web/en/us/hanzi-chinese-park-highlightsJul 13, 2021Jul 13, 2021
生活: 2021 新嘗試 morning person自從01/13回美國，到現在快一個月了，我已經持續5:30–6:00早起一個月了，藉此分享一下我的個人感受跟觀點Feb 9, 2021Feb 9, 2021
KDD 19': Heterogeneous Graph Neural Network🤗 Recommendation system paper challenge (28/50)Jan 16, 2021Jan 16, 2021
KDD 19': Applying Deep Learning To Airbnb Search🤗 Recommendation system paper challenge (27/50)Jan 8, 2021Jan 8, 2021
KDD 17': Visual Search at eBay🤗 Recommendation system paper challenge (26/50)Nov 16, 2020Nov 16, 2020
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