Junwei Pan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 48

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Adaptive Learning Rate

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Publications

Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang
Ads Recommendation in a Collapsed and Entangled World. KDD (2024)
Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang
Ad Recommendation in a Collapsed and Entangled World. CoRR (2024)
Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR (2024)
Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. AAAI (2024)
Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM (2024)
Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD (2024)
Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen
Temporal Interest Network for User Response Prediction. WWW (Companion Volume) (2024)
Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
Deep Pattern Network for Click-Through Rate Prediction. SIGIR (2024)
Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang
Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR (2024)
Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. AAAI (2024)
Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
Deep Pattern Network for Click-Through Rate Prediction. CoRR (2024)
Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. CoRR (2023)
Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
On the Embedding Collapse when Scaling up Recommendation Models. CoRR (2023)
Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
STEM: Unleashing the Power of Embeddings for Multi-task Recommendation. CoRR (2023)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI (2023)
Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. NeurIPS (2023)
Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen
Temporal Interest Network for Click-Through Rate Prediction. CoRR (2023)
Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. CoRR (2023)
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Cross-Task Knowledge Distillation in Multi-Task Recommendation. AAAI (2022)
Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. ICDM (2022)
Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR (2022)
Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. CoRR (2022)
Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. CoRR (2022)
Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. IJCAI (2022)
Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
Cross-Task Knowledge Distillation in Multi-Task Recommendation. CoRR (2022)
Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
Impression Allocation and Policy Search in Display Advertising. CoRR (2022)
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. KDD (2021)
Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR (2021)
Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
FM2: Field-matrixed Factorization Machines for Recommender Systems. WWW (2021)
Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. CoRR (2021)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. WSDM (2021)
Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR (2021)
Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM (2021)
Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
A Unified Solution to Constrained Bidding in Online Display Advertising. KDD (2021)
Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
: Field-matrixed Factorization Machines for Recommender Systems. CoRR (2021)
Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
Impression Allocation and Policy Search in Display Advertising. ICDM (2021)
Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
Bid Shading in The Brave New World of First-Price Auctions. CIKM (2020)
Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. CoRR (2020)
Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang
Bid Shading by Win-Rate Estimation and Surplus Maximization. CoRR (2020)
Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. CoRR (2020)
Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
Bid Shading in The Brave New World of First-Price Auctions. CoRR (2020)
Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. KDD (2019)
Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. CoRR (2019)
Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson
A Batched Multi-Armed Bandit Approach to News Headline Testing. CoRR (2019)
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. CoRR (2018)
Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson
A Batched Multi-Armed Bandit Approach to News Headline Testing. IEEE BigData (2018)
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. WWW (2018)
Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang
A Practical Framework of Conversion Rate Prediction for Online Display Advertising. ADKDD@KDD (2017)