Junwei Pan

According to our database, Junwei Pan authored at least 33 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Long-Sequence Recommendation Models Need Decoupled Embeddings.

Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long

CoRR, 2024

Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation.

Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang

CoRR, 2024

Ad Recommendation in a Collapsed and Entangled World.

Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang

CoRR, 2024

Temporal Interest Network for User Response Prediction.

Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation.

Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Deep Pattern Network for Click-Through Rate Prediction.

Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Ads Recommendation in a Collapsed and Entangled World.

Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Understanding the Ranking Loss for Recommendation with Sparse User Feedback.

Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

On the Embedding Collapse when Scaling up Recommendation Models.

Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning.

Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation.

Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Temporal Interest Network for Click-Through Rate Prediction.

Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen

CoRR, 2023

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning.

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

CoRR, 2023

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning.

Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach.

Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling.

Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang

Proceedings of the IEEE International Conference on Data Mining, 2022

Cross-Task Knowledge Distillation in Multi-Task Recommendation.

Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

FM²: Field-matrixed Factorization Machines for Recommender Systems.

Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores

CoRR, 2021

FM2: Field-matrixed Factorization Machines for Recommender Systems.

Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores

Proceedings of the WWW '21: The Web Conference 2021, 2021

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising.

Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai

Proceedings of the WSDM '21, 2021

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin

Proceedings of the WSDM '21, 2021

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback.

Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions.

Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

A Unified Solution to Constrained Bidding in Online Display Advertising.

Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Impression Allocation and Policy Search in Display Advertising.

Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Bid Shading by Win-Rate Estimation and Surplus Maximization.

Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang

CoRR, 2020

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.

Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin

CoRR, 2020

Bid Shading in The Brave New World of First-Price Auctions.

Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising.

Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising.

Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A Batched Multi-Armed Bandit Approach to News Headline Testing.

Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

A Practical Framework of Conversion Rate Prediction for Online Display Advertising.

Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang

Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017