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Tun Lu

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Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models

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May 13, 2024
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang

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Negating Negatives: Alignment without Human Positive Samples via Distributional Dispreference Optimization

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Mar 06, 2024
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu

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Frequency-aware Graph Signal Processing for Collaborative Filtering

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Feb 13, 2024
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu

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Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks

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Nov 16, 2023
Yuxuan Lu, Bingsheng Yao, Shao Zhang, Yun Wang, Peng Zhang, Tun Lu, Toby Jia-Jun Li, Dakuo Wang

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Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction

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Nov 08, 2023
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu

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A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction

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Nov 08, 2023
Fangye Wang, Yingxu Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Li Shang, Ning Gu

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Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning

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Oct 30, 2023
Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu

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RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models

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Aug 19, 2023
Yubo Shu, Hansu Gu, Peng Zhang, Haonan Zhang, Tun Lu, Dongsheng Li, Ning Gu

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AutoSeqRec: Autoencoder for Efficient Sequential Recommendation

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Aug 14, 2023
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang, Ning Gu

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Recommendation Unlearning via Matrix Correction

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Jul 29, 2023
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Jiongran Wu, Peng Zhang, Li Shang, Ning Gu

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