Junwei Pan - RankMe

67 papers A* 22A 7Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning. AAAI Yipeng Zhang, Xin Wang, Hong Chen, Junwei Pan, Qian Li, Jun Zhang, Jie Jiang, Hong Mei, Wenwu Zhu
2025	—	`conf`	Computational Advertising: Recent Advances. WWW (Companion Volume) Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang, Bo Zheng
2025	A	`conf`	Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. CIKM Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao
2025	A	`conf`	Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs. CIKM Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025	J	`jnl`	Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs. CoRR Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025	J	`jnl`	Enhancing CTR Prediction with De-correlated Expert Networks. CoRR Jiancheng Wang, Mingjia Yin, Junwei Pan, Ximei Wang, Hao Wang, Enhong Chen
2025	A*	`conf`	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. ICML Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025	J	`jnl`	From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. CoRR Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025	A	`conf`	Incremental Learning for LLM-based Tokenization and Recommendation. CIKM Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng
2025	J	`jnl`	Large Foundation Model for Ads Recommendation. CoRR Shangyu Zhang, Shijie Quan, Zhongren Wang, Junwei Pan, Tianqu Zhuang, Bo Fu, Yilong Sun, Jieying Lin, Jushuo Chen, Xiaotian Li, Zhixiang Feng, Xian Hu, Huiting Deng, Hua Lu, Jinpeng Wang, Boqi Dai, Xiaoyu Chen, Bin Hu, Lili Huang, Yanwen Wu, Yeshou Cai, Qi Zhou, Huang Tang, Chunfeng Yang, Chengguo Yin, Tingyu Jiang, Lifeng Wang, Shudong Huang, Dapeng Liu, Lei Xiao, Haijie Gu, Shu-Tao Xia, Jie Jiang
2025	A*	`conf`	Long-Sequence Recommendation Models Need Decoupled Embeddings. ICLR Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2025	J	`jnl`	Practice on Long Behavior Sequence Modeling in Tencent Advertising. CoRR Xian Hu, Ming Yue, Zhixiang Feng, Junwei Pan, Junjie Zhai, Ximei Wang, Xinrui Miao, Qian Li, Xun Liu, Shangyu Zhang, Letian Wang, Hua Lu, Zijian Zeng, Chen Cai, Wei Wang, Fei Xiong, Pengfei Xiong, Jintao Zhang, Zhiyuan Wu, Chunhui Zhang, Anan Liu, Jiulong You, Chao Deng, Yuekui Yang, Shudong Huang, Dapeng Liu, Haijie Gu
2025	A*	`conf`	Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. SIGIR Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao
2025	—	`conf`	Towards Unifying Feature Interaction Models for Click-Through Rate Prediction. ECML/PKDD (5) Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao
2024	J	`jnl`	Ad Recommendation in a Collapsed and Entangled World. CoRR Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang
2024	A*	`conf`	Ads Recommendation in a Collapsed and Entangled World. KDD Junwei Pan, Wei Xue, Ximei Wang, Haibin Yu, Xun Liu, Shijie Quan, Xueming Qiu, Dapeng Liu, Lei Xiao, Jie Jiang
2024	A*	`conf`	Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. AAAI Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
2024	A*	`conf`	Deep Pattern Network for Click-Through Rate Prediction. SIGIR Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
2024	J	`jnl`	Deep Pattern Network for Click-Through Rate Prediction. CoRR Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
2024	J	`jnl`	Disentangled Representation with Cross Experts Covariance Loss for Multi-Domain Recommendation. CoRR Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Lei Xiao, Jie Jiang
2024	J	`jnl`	Long-Sequence Recommendation Models Need Decoupled Embeddings. CoRR Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2024	A	`conf`	Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. WSDM Xiaolin Lin, Jinwei Luo, Junwei Pan, Weike Pan, Zhong Ming, Xun Liu, Shudong Huang, Jie Jiang
2024	A*	`conf`	On the Embedding Collapse when Scaling up Recommendation Models. ICML Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2024	J	`jnl`	Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. CoRR Yuhao Wang, Junwei Pan, Xiangyu Zhao, Pengyue Jia, Wanyu Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang
2024	A*	`conf`	STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. AAAI Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
2024	—	`conf`	Temporal Interest Network for User Response Prediction. WWW (Companion Volume) Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen
2024	J	`jnl`	Towards Scalable Semantic Representation for Recommendation. CoRR Taolin Zhang, Junwei Pan, Jinpeng Wang, Yaohua Zha, Tao Dai, Bin Chen, Ruisheng Luo, Xiaoxiang Deng, Yuan Wang, Ming Yue, Jie Jiang, Shu-Tao Xia
2024	J	`jnl`	Towards Unifying Feature Interaction Models for Click-Through Rate Prediction. CoRR Yu Kang, Junwei Pan, Jipeng Jin, Shudong Huang, Xiaofeng Gao, Lei Xiao
2024	A*	`conf`	Understanding the Ranking Loss for Recommendation with Sparse User Feedback. KDD Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
2024	J	`jnl`	Understanding the Ranking Loss for Recommendation with Sparse User Feedback. CoRR Zhutian Lin, Junwei Pan, Shangyu Zhang, Ximei Wang, Xi Xiao, Shudong Huang, Lei Xiao, Jie Jiang
2023	A*	`conf`	AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2023	J	`jnl`	Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. CoRR Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
2023	A*	`conf`	ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. NeurIPS Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
2023	J	`jnl`	ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. CoRR Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
2023	J	`jnl`	On the Embedding Collapse when Scaling up Recommendation Models. CoRR Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2023	J	`jnl`	STEM: Unleashing the Power of Embeddings for Multi-task Recommendation. CoRR Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
2023	J	`jnl`	Temporal Interest Network for Click-Through Rate Prediction. CoRR Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen
2022	J	`jnl`	AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning. CoRR Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo
2022	A*	`conf`	AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. ICDM Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
2022	J	`jnl`	AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. CoRR Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
2022	A*	`conf`	Cross-Task Knowledge Distillation in Multi-Task Recommendation. AAAI Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
2022	J	`jnl`	Cross-Task Knowledge Distillation in Multi-Task Recommendation. CoRR Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
2022	J	`jnl`	Impression Allocation and Policy Search in Display Advertising. CoRR Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
2022	A*	`conf`	Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. IJCAI Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
2022	J	`jnl`	Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. CoRR Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
2021	A*	`conf`	A Unified Solution to Constrained Bidding in Online Display Advertising. KDD Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu
2021	A*	`conf`	An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. KDD Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
2021	J	`jnl`	An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. CoRR Tian Zhou, Hao He, Shengjun Pan, Niklas Karlsson, Bharatbhushan Shetty, Brendan Kitts, Djordje Gligorijevic, San Gultekin, Tingyu Mao, Junwei Pan, Jianlong Zhang, Aaron Flores
2021	A	`conf`	DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. WSDM Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin
2021	J	`jnl`	FM CoRR Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
2021	A*	`conf`	FM2: Field-matrixed Factorization Machines for Recommender Systems. WWW Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
2021	A*	`conf`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. SIGIR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	J	`jnl`	Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. CoRR Haoming Li, Feiyang Pan, Xiang Ao, Zhao Yang, Min Lu, Junwei Pan, Dapeng Liu, Lei Xiao, Qing He
2021	A*	`conf`	Impression Allocation and Policy Search in Display Advertising. ICDM Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
2021	A	`conf`	Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. WSDM Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
2020	J	`jnl`	Bid Shading by Win-Rate Estimation and Surplus Maximization. CoRR Shengjun Pan, Brendan Kitts, Tian Zhou, Hao He, Bharatbhushan Shetty, Aaron Flores, Djordje Gligorijevic, Junwei Pan, Tingyu Mao, San Gultekin, Jianlong Zhang
2020	A	`conf`	Bid Shading in The Brave New World of First-Price Auctions. CIKM Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
2020	J	`jnl`	Bid Shading in The Brave New World of First-Price Auctions. CoRR Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
2020	J	`jnl`	DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. CoRR Wei Deng, Junwei Pan, Tian Zhou, Aaron Flores, Guang Lin
2020	J	`jnl`	Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. CoRR Zhilin Zhang, Xiangyu Liu, Zhenzhe Zheng, Chenrui Zhang, Miao Xu, Junwei Pan, Chuan Yu, Fan Wu, Jian Xu, Kun Gai
2019	J	`jnl`	A Batched Multi-Armed Bandit Approach to News Headline Testing. CoRR Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson
2019	A*	`conf`	Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. KDD Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
2019	J	`jnl`	Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. CoRR Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
2018	—	`conf`	A Batched Multi-Armed Bandit Approach to News Headline Testing. IEEE BigData Yizhi Mao, Miao Chen, Abhinav Wagle, Junwei Pan, Michael Natkovich, Don Matheson
2018	A*	`conf`	Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. WWW Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
2018	J	`jnl`	Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. CoRR Junwei Pan, Jian Xu, Alfonso Lobos Ruiz, Wenliang Zhao, Shengjun Pan, Yu Sun, Quan Lu
2017	—	`conf`	A Practical Framework of Conversion Rate Prediction for Online Display Advertising. ADKDD@KDD Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang