Pengjie Wang - RankMe

50 papers A* 8A 6Journal 28Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GeoGR: A Generative Retrieval Framework for Spatio-Temporal Aware POI Recommendation. CoRR Fangye Wang, Haowen Lin, Yifang Yuan, Siyuan Wang, Xiaojiang Zhou, Song Yang, Pengjie Wang
2026	—	`conf`	IMPACTNet: Unifying Auto-bidding in End-to-End Merged Auctions. KDD (1) Yuhan Wang, Yuchao Ma, Liang Zhang, Ziyuan Wang, Zhiyuan Su, Qi Qi, Yafei Wang, Xu Li, Yuyao Liu, Pengjie Wang, Jian Xu, Bo Zheng
2026	—	`conf`	LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models. KDD (1) Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen
2026	A	`conf`	MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. WSDM Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng
2026	A*	`conf`	NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations. WWW Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao
2026	J	`jnl`	Query-Mixed Interest Extraction and Heterogeneous Interaction: A Scalable CTR Model for Industrial Recommender Systems. CoRR Fangye Wang, Guowei Yang, Xiaojiang Zhou, Song Yang, Pengjie Wang
2026	A	`conf`	Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. WSDM Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2026	—	`conf`	VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. KDD (1) Xiao Zhang, Guanyu Chen, Boyang Zuo, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng
2025	—	`conf`	Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". KDD (2) Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng
2025	J	`jnl`	Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". CoRR Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng
2025	J	`jnl`	Creative4U: MLLMs-based Advertising Creative Image Selector with Comparative Reasoning. CoRR Yukang Lin, Xiang Zhang, Shichang Jia, Bowen Wan, Chenghan Fu, Xudong Ren, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	—	`conf`	Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. WWW (Companion Volume) Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction. CoRR Bencheng Yan, Yuejie Lei, Zhiyuan Zeng, Di Wang, Kaiyi Lin, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. CoRR Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xiangyu Zhao
2025	A	`conf`	Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. WSDM Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng
2025	J	`jnl`	Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. CoRR Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng
2025	—	`conf`	Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce. DASFAA (6) Haoyue Zhang, Zhiyuan Zeng, Guoliang Zhang, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	J	`jnl`	LORE: A Large Generative Model for Search Relevance. CoRR Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Ruicong Xu, Haoran Li, Songyan Liu, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language Models. CoRR Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen
2025	J	`jnl`	MIM: Multi-modal Content Interest Modeling Paradigm for User Behavior Modeling. CoRR Bencheng Yan, Si Chen, Shichang Jia, Jianyu Liu, Yueran Liu, Chenghan Fu, Wanxian Guan, Hui Zhao, Xiang Zhang, Kai Zhang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu
2025	J	`jnl`	MOON Embedding: Multimodal Representation Learning for E-commerce Search Advertising. CoRR Chenghan Fu, Daoze Zhang, Yukang Lin, Zhanheng Nie, Xiang Zhang, Jianyu Liu, Yueran Liu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	MOON2.0: Dynamic Modality-balanced Multimodal Representation Learning for E-commerce Product Understanding. CoRR Zhanheng Nie, Chenghan Fu, Daoze Zhang, Junxian Wu, Wanxian Guan, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. CoRR Daoze Zhang, Zhanheng Nie, Jianyu Liu, Chenghan Fu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations. CoRR Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao
2025	J	`jnl`	RAIR: A Rule-Aware Benchmark Uniting Challenging Long-Tail and Visual Salience Subset for E-commerce Relevance Assessment. CoRR Chenji Lu, Zhuo Chen, Hui Zhao, Zhenyi Wang, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	RecIS: Sparse to Dense, A Unified Training Framework for Recommendation Models. CoRR Hua Zong, Qingtao Zeng, Zhengxiong Zhou, Zhihua Han, Zhensong Yan, Mingjie Liu, Hechen Sun, Jiawei Liu, Yiwen Hu, Qi Wang, YiHan Xian, Wenjie Guo, Houyuan Xiang, Zhiyuan Zeng, Xiangrong Sheng, Bencheng Yan, Nan Hu, Yuheng Huang, Jinqing Lian, Ziru Xu, Yan Zhang, Ju Huang, Siran Yang, Huimin Yi, Jiamang Wang, Pengjie Wang, Zhu Han, Jian Wu, Dan Ou, Jian Xu, Haihong Tang, Yuning Jiang, Bo Zheng, Lin Qu
2025	—	`conf`	UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD (2) Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. CoRR Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. CoRR Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng
2025	J	`jnl`	VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. CoRR Boyang Zuo, Xiao Zhang, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng
2024	J	`jnl`	Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. CoRR Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng
2024	A	`conf`	Unified Visual Preference Learning for User Intent Understanding. WSDM Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li
2022	A*	`conf`	APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. NeurIPS Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng, Jian Xu, Bo Zheng
2022	J	`jnl`	APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction. CoRR Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Jian Xu, Bo Zheng
2022	A*	`conf`	Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. WWW Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng
2022	J	`jnl`	Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. CoRR Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng
2022	J	`jnl`	GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Model. CoRR Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
2022	A*	`conf`	GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models. NeurIPS Wenbo Su, Yuanxing Zhang, Yufeng Cai, Kaixu Ren, Pengjie Wang, Huimin Yi, Yue Song, Jing Chen, Hongbo Deng, Jian Xu, Lin Qu, Bo Zheng
2022	A*	`conf`	Joint Optimization of Ad Ranking and Creative Selection. SIGIR Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
2021	A	`conf`	Binary Code based Hash Embedding for Web-scale Applications. CIKM Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	J	`jnl`	Binary Code based Hash Embedding for Web-scale Applications. CoRR Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	A*	`conf`	Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. SIGIR Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
2021	J	`jnl`	Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. CoRR Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
2021	J	`jnl`	Graph Intention Network for Click-through Rate Prediction in Sponsored Search. CoRR Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu
2021	A	`conf`	Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CIKM Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	J	`jnl`	Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. CoRR Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	A*	`conf`	Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. SIGIR Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2021	J	`jnl`	Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. CoRR Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng
2019	A*	`conf`	Graph Intention Network for Click-through Rate Prediction in Sponsored Search. SIGIR Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu
2016	—	`conf`	Dynamic Business Process Generation and Verification. SCC Budan Wu, Rongheng Lin, Pengjie Wang, Junliang Chen