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Junwei Pan

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

32

Venues

10

Active years

2017–2026

Best venue rank

A*

Where they publish

Papers

32 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAICross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning.Yipeng Zhang, Xin Wang, Hong Chen, Junwei Pan, Qian Li, Jun Zhang, Jie Jiang, Hong Mei, Wenwu Zhu
2026SIGIRFEDIN: Frequency-Enhanced Deep Interest Network for Click-Through Rate Prediction.Zenan Dai, Jinpeng Wang, Junwei Pan, Dapeng Liu, Lei Xiao, Shu-Tao Xia
2025CIKMEmpowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs.Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao
2025CIKMCrocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation.Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao
2025CIKMIncremental Learning for LLM-based Tokenization and Recommendation.Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng
2025ICLRLong-Sequence Recommendation Models Need Decoupled Embeddings.Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, Qian Li, Xian Hu, Jie Jiang, Mingsheng Long
2025ICMLFrom Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models.Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025WWWComputational Advertising: Recent Advances.Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang, Bo Zheng
2025SIGIRPre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models.Yuhao Wang, Junwei Pan, Pengyue Jia, Wanyu Wang, Maolin Wang, Zhixiang Feng, Xiaotian Li, Jie Jiang, Xiangyu Zhao
2024AAAISTEM: Unleashing the Power of Embeddings for Multi-Task Recommendation.Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan, Xihua Chen, Jie Jiang
2024AAAIDecoupled Training: Return of Frustratingly Easy Multi-Domain Learning.Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang
2024ICMLOn the Embedding Collapse when Scaling up Recommendation Models.Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
2024KDDUnderstanding 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
2024KDDAds 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
2024WWWTemporal Interest Network for User Response Prediction.Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen
2024SIGIRDeep Pattern Network for Click-Through Rate Prediction.Hengyu Zhang, Junwei Pan, Dapeng Liu, Jie Jiang, Xiu Li
2024WSDMMulti-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
2023AAAIAdaTask: 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
2022AAAICross-Task Knowledge Distillation in Multi-Task Recommendation.Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu, Guihai Chen
2022ICDMAutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling.Zuowu Zheng, Xiaofeng Gao, Junwei Pan, Qi Luo, Guihai Chen, Dapeng Liu, Jie Jiang
2022IJCAITrading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach.Chenxiao Yang, Qitian Wu, Jipeng Jin, Xiaofeng Gao, Junwei Pan, Guihai Chen
2021ICDMImpression Allocation and Policy Search in Display Advertising.Di Wu, Cheng Chen, Xiujun Chen, Junwei Pan, Xun Yang, Qing Tan, Jian Xu, Kuang-Chih Lee
2021KDDA 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
2021KDDAn 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
2021WWWFM2: Field-matrixed Factorization Machines for Recommender Systems.Yang Sun, Junwei Pan, Alex Zhang, Aaron Flores
2021SIGIRFollow 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
2021WSDMDeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving.Wei Deng, Junwei Pan, Tian Zhou, Deguang Kong, Aaron Flores, Guang Lin
2021WSDMOptimizing 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
2020CIKMBid Shading in The Brave New World of First-Price Auctions.Djordje Gligorijevic, Tian Zhou, Bharatbhushan Shetty, Brendan Kitts, Shengjun Pan, Junwei Pan, Aaron Flores
2019KDDPredicting Different Types of Conversions with Multi-Task Learning in Online Advertising.Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz, Yu Sun, Aaron Flores
2018WWWField-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
2017KDDA Practical Framework of Conversion Rate Prediction for Online Display Advertising.Quan Lu, Shengjun Pan, Liang Wang, Junwei Pan, Fengdan Wan, Hongxia Yang