KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks von Zhou, Quan, Pei, Changhua, Sun, Fei, Han, Jing, Gao, Zhengwei, Pei, Dan, Zhang, Haiming, Xie, Gaogang, Li, Jianhui

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Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection von Si, Haotian, Pei, Changhua, Li, Zhihan, Zhao, Yadong, Li, Jingjing, Zhang, Haiming, Diao, Zulong, Li, Jianhui, Xie, Gaogang, Pei, Dan

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TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models von Si, Haotian, Li, Jianhui, Pei, Changhua, Cui, Hang, Yang, Jingwen, Sun, Yongqian, Zhang, Shenglin, Li, Jingjing, Zhang, Haiming, Han, Jing, Pei, Dan, Xie, Gaogang

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Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective von Wang, Zexin, Pei, Changhua, Ma, Minghua, Wang, Xin, Li, Zhihan, Pei, Dan, Rajmohan, Saravan, Zhang, Dongmei, Lin, Qingwei, Zhang, Haiming, Li, Jianhui, Xie, Gaogang

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Variation Control and Evaluation for Generative SlateRecommendations von Liu, Shuchang, Sun, Fei, Ge, Yingqiang, Pei, Changhua, Zhang, Yongfeng

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Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction von Chen, Qiwei, Xu, Yue, Pei, Changhua, Lv, Shanshan, Zhuang, Tao, Ge, Junfeng

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Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation von Zhan, Ruohan, Pei, Changhua, Su, Qiang, Wen, Jianfeng, Wang, Xueliang, Mu, Guanyu, Zheng, Dong, Jiang, Peng

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OpsEval: A Comprehensive IT Operations Benchmark Suite for Large Language Models von Liu, Yuhe, Pei, Changhua, Xu, Longlong, Chen, Bohan, Sun, Mingze, Zhang, Zhirui, Sun, Yongqian, Zhang, Shenglin, Wang, Kun, Zhang, Haiming, Li, Jianhui, Xie, Gaogang, Wen, Xidao, Nie, Xiaohui, Ma, Minghua, Pei, Dan

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End-to-End User Behavior Retrieval in Click-Through RatePrediction Model von Chen, Qiwei, Pei, Changhua, Lv, Shanshan, Li, Chao, Ge, Junfeng, Ou, Wenwu

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KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks von Zhou, Quan, Pei, Changhua, Sun, Fei, Han, Jing, Gao, Zhengwei, Pei, Dan, Zhang, Haiming, Xie, Gaogang, Li, Jianhui

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Understanding Echo Chambers in E-commerce Recommender Systems von Ge, Yingqiang, Zhao, Shuya, Zhou, Honglu, Pei, Changhua, Sun, Fei, Ou, Wenwu, Zhang, Yongfeng

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TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models von Si, Haotian, Li, Jianhui, Pei, Changhua, Cui, Hang, Yang, Jingwen, Sun, Yongqian, Zhang, Shenglin, Li, Jingjing, Zhang, Haiming, Han, Jing, Pei, Dan, Xie, Gaogang

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Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection von Si, Haotian, Pei, Changhua, Li, Zhihan, Zhao, Yadong, Li, Jingjing, Zhang, Haiming, Diao, Zulong, Li, Jianhui, Xie, Gaogang, Pei, Dan

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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer von Sun, Fei, Liu, Jun, Wu, Jian, Pei, Changhua, Lin, Xiao, Ou, Wenwu, Jiang, Peng

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Towards Long-term Fairness in Recommendation von Ge, Yingqiang, Liu, Shuchang, Gao, Ruoyuan, Xian, Yikun, Li, Yunqi, Zhao, Xiangyu, Pei, Changhua, Sun, Fei, Ge, Junfeng, Ou, Wenwu, Zhang, Yongfeng

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Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems von Pei, Changhua, Yang, Xinru, Cui, Qing, Lin, Xiao, Sun, Fei, Jiang, Peng, Ou, Wenwu, Zhang, Yongfeng

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Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective von Wang, Zexin, Pei, Changhua, Ma, Minghua, Wang, Xin, Li, Zhihan, Pei, Dan, Rajmohan, Saravan, Zhang, Dongmei, Lin, Qingwei, Zhang, Haiming, Li, Jianhui, Xie, Gaogang

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Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction von Chen, Qiwei, Xu, Yue, Pei, Changhua, Lv, Shanshan, Zhuang, Tao, Ge, Junfeng

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Multi-Source Pointer Network for Product Title Summarization von Sun, Fei, Jiang, Peng, Sun, Hanxiao, Pei, Changhua, Ou, Wenwu, Wang, Xiaobo

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Privileged Features Distillation at Taobao Recommendations von Xu, Chen, Li, Quan, Ge, Junfeng, Gao, Jinyang, Yang, Xiaoyong, Pei, Changhua, Sun, Fei, Wu, Jian, Sun, Hanxiao, Ou, Wenwu

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