A Practical Framework of Conversion Rate Prediction for Online Display Advertising. - Quan Lu; Shengjun Pan; Liang Wang; Junwei Pan; Fengdan Wan; Hongxia Yang (ADKDD@KDD, 2017)

A Batched Multi-Armed Bandit Approach to News Headline Testing. - Yizhi Mao; Miao Chen; Abhinav Wagle; Junwei Pan; Michael Natkovich; Don Matheson (IEEE BigData, 2018)

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising. - Junwei Pan; Jian Xu 015; Alfonso Lobos Ruiz; Wenliang Zhao; Shengjun Pan; Yu Sun; Quan Lu (WWW, 2018)

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising. - Junwei Pan; Yizhi Mao; Alfonso Lobos Ruiz; Yu Sun; Aaron Flores 001 (KDD, 2019)

Bid Shading in The Brave New World of First-Price Auctions. - Djordje Gligorijevic; Tian Zhou 006; Bharatbhushan Shetty; Brendan Kitts; Shengjun Pan; Junwei Pan; Aaron Flores 001 (CIKM, 2020)

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. - Wei Deng 002; Junwei Pan; Tian Zhou 006; Aaron Flores 001; Guang Lin 001 (CoRR, 2020)

Bid Shading by Win-Rate Estimation and Surplus Maximization. - Shengjun Pan; Brendan Kitts; Tian Zhou 006; Hao He; Bharatbhushan Shetty; Aaron Flores 001; Djordje Gligorijevic; Junwei Pan; Tingyu Mao; San Gultekin; Jianlong Zhang (CoRR, 2020)

Impression Allocation and Policy Search in Display Advertising. - Di Wu 035; Cheng Chen; Xiujun Chen; Junwei Pan; Xun Yang 004; Qing Tan; Jian Xu 015; Kuang-Chih Lee (ICDM, 2021)

A Unified Solution to Constrained Bidding in Online Display Advertising. - Yue He; Xiujun Chen; Di Wu 035; Junwei Pan; Qing Tan; Chuan Yu; Jian Xu 015; Xiaoqiang Zhu (KDD, 2021)

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions. - Tian Zhou 006; Hao He; Shengjun Pan; Niklas Karlsson; Bharatbhushan Shetty; Brendan Kitts; Djordje Gligorijevic; San Gultekin; Tingyu Mao; Junwei Pan; Jianlong Zhang; Aaron Flores 001 (KDD, 2021)

Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback. - Haoming Li 011; Feiyang Pan; Xiang Ao 001; Zhao Yang; Min Lu; Junwei Pan; Dapeng Liu; Lei Xiao; Qing He 003 (SIGIR, 2021)

DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving. - Wei Deng 002; Junwei Pan; Tian Zhou 006; Deguang Kong; Aaron Flores 001; Guang Lin 001 (WSDM, 2021)

Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising. - Zhilin Zhang 003; Xiangyu Liu; Zhenzhe Zheng; Chenrui Zhang; Miao Xu; Junwei Pan; Chuan Yu; Fan Wu 006; Jian Xu 015; Kun Gai (WSDM, 2021)

FM2: Field-matrixed Factorization Machines for Recommender Systems. - Yang Sun; Junwei Pan; Alex Zhang; Aaron Flores 001 (WWW, 2021)

FM2: Field-matrixed Factorization Machines for Recommender Systems. - Yang Sun; Junwei Pan; Alex Zhang; Aaron Flores 001 (CoRR, 2021)

Cross-Task Knowledge Distillation in Multi-Task Recommendation. - Chenxiao Yang; Junwei Pan; Xiaofeng Gao 001; Tingyu Jiang; Dapeng Liu; Guihai Chen (AAAI, 2022)

AutoAttention: Automatic Field Pair Selection for Attention in User Behavior Modeling. - Zuowu Zheng; Xiaofeng Gao 001; Junwei Pan; Qi Luo; Guihai Chen; Dapeng Liu; Jie Jiang 015 (ICDM, 2022)

Trading Hard Negatives and True Negatives: A Debiased Contrastive Collaborative Filtering Approach. - Chenxiao Yang; Qitian Wu; Jipeng Jin; Xiaofeng Gao 001; Junwei Pan; Guihai Chen (IJCAI, 2022)

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. - Enneng Yang; Junwei Pan; Ximei Wang; Haibin Yu; Li Shen 008; Xihua Chen; Lei Xiao; Jie Jiang 015; Guibing Guo (AAAI, 2023)

ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (NeurIPS, 2023)

ForkMerge: Overcoming Negative Transfer in Multi-Task Learning. - Junguang Jiang; Baixu Chen; Junwei Pan; Ximei Wang; Dapeng Liu; Jie Jiang 015; Mingsheng Long (CoRR, 2023)

Temporal Interest Network for Click-Through Rate Prediction. - Haolin Zhou; Junwei Pan; Xinyi Zhou 006; Xihua Chen; Jie Jiang 015; Xiaofeng Gao 001; Guihai Chen (CoRR, 2023)

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation. - Liangcai Su; Junwei Pan; Ximei Wang; Xi Xiao; Shijie Quan; Xihua Chen; Jie Jiang 015 (AAAI, 2024)

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. - Ximei Wang; Junwei Pan; Xingzhuo Guo; Dapeng Liu; Jie Jiang 015 (AAAI, 2024)

On the Embedding Collapse when Scaling up Recommendation Models. - Xingzhuo Guo; Junwei Pan; Ximei Wang; Baixu Chen; Jie Jiang 015; Mingsheng Long (ICML, 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 015 (KDD, 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 015 (KDD, 2024)

Deep Pattern Network for Click-Through Rate Prediction. - Hengyu Zhang 001; Junwei Pan; Dapeng Liu; Jie Jiang 015; Xiu Li 001 (SIGIR, 2024)

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation. - Xiaolin Lin; Jinwei Luo; Junwei Pan; Weike Pan; Zhong Ming 001; Xun Liu; Shudong Huang; Jie Jiang 015 (WSDM, 2024)

Temporal Interest Network for User Response Prediction. - Haolin Zhou; Junwei Pan; Xinyi Zhou 006; Xihua Chen; Jie Jiang 015; Xiaofeng Gao 001; Guihai Chen (WWW (Companion Volume), 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 015 (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 015 (CoRR, 2024)

Towards Scalable Semantic Representation for Recommendation. - Taolin Zhang 003; Junwei Pan; Jinpeng Wang 002; Yaohua Zha; Tao Dai 001; Bin Chen 011; Ruisheng Luo; Xiaoxiang Deng; Yuan Wang; Ming Yue; Jie Jiang 015; Shu-Tao Xia (CoRR, 2024)

Towards Unifying Feature Interaction Models for Click-Through Rate Prediction. - Yu Kang; Junwei Pan; Jipeng Jin; Shudong Huang; Xiaofeng Gao 001; Lei Xiao (CoRR, 2024)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Xiangyu Zhao 001; Pengyue Jia; Wanyu Wang; Yuan Wang; Yue Liu 008; Dapeng Liu; Jie Jiang 015 (CoRR, 2024)

Long-Sequence Recommendation Models Need Decoupled Embeddings. - Ningya Feng; Junwei Pan; Jialong Wu 001; Baixu Chen; Ximei Wang; Qian Li 016; Xian Hu; Jie Jiang 015; Mingsheng Long (ICLR, 2025)

Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models. - Yuhao Wang 006; Junwei Pan; Pengyue Jia; Wanyu Wang; Maolin Wang 001; Zhixiang Feng; Xiaotian Li; Jie Jiang 015; Xiangyu Zhao 001 (SIGIR, 2025)

Computational Advertising: Recent Advances. - Junwei Pan; Zhilin Zhang 003; Han Zhu 001; Jian Xu 015; Jie Jiang 015; Bo Zheng 007 (WWW (Companion Volume), 2025)

Enhancing CTR Prediction with De-correlated Expert Networks. - Jiancheng Wang; Mingjia Yin; Junwei Pan; Ximei Wang; Hao Wang 076; Enhong Chen (CoRR, 2025)

Large Foundation Model for Ads Recommendation. - Shangyu Zhang; Shijie Quan; Zhongren Wang 003; Junwei Pan; Tianqu Zhuang; Bo Fu; Yilong Sun; Jieying Lin; Jushuo Chen; Xiaotian Li; Zhixiang Feng; Xian Hu; et al. (CoRR, 2025)