Pengjie Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | SigFusion: Unified Signal-Level Self-Supervised Learning Paradigm for Image Fusion. | Zeyu Wang, Jiawei Feng, Jiayu Wang, Pengjie Wang, Haiyu Song |
| 2026 | ACL | LoRE: Enhancing Search Relevance with Progressive Chain-of-Thought and Preference Alignment. | Chenji Lu, Zhuo Chen, Hui Zhao, Zhiyuan Zeng, Gang Zhao, Junjie Ren, Haoran Li, Songyan Liu, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng |
| 2026 | KDD | IMPACTNet: Unifying Auto-bidding in End-to-End Merged Auctions. | 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 | KDD | LoFT-LLM: Low-Frequency Time-series Forecasting with Large Language Models. | Jiacheng You, Jingcheng Yang, Yuhang Xie, Zhongxuan Wu, Xiucheng Li, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng, Xinyang Chen |
| 2026 | KDD | VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. | Xiao Zhang, Guanyu Chen, Boyang Zuo, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng |
| 2026 | WWW | NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations. | 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 | SIGIR | GFlowGR: Fine-tuning Generative Recommendation Frameworks with Generative Flow Networks. | Yejing Wang, Shengyu Zhou, Jinyu Lu, Qidong Liu, Xinhang Li, Wenlin Zhang, Feng Li, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng, Xiangyu Zhao |
| 2026 | WSDM | Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. | 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 | WSDM | MOON: Generative MLLM-based Multimodal Representation Learning for E-commerce Product Understanding. | Daoze Zhang, Chenghan Fu, Zhanheng Nie, Jianyu Liu, Wanxian Guan, Yuan Gao, Jun Song, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | DASFAA | Interpretable Word Representation Learning Framework for Modeling Semantic Relevance in E-commerce. | Haoyue Zhang, Zhiyuan Zeng, Guoliang Zhang, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng, Baolin Liu |
| 2025 | KDD | Beyond Advertising: Mechanism Design for Platform-Wide Marketing Service "QuanZhanTui". | Ningyuan Li, Zhilin Zhang, Tianyan Long, Yuyao Liu, Rongquan Bai, Yurong Chen, Xiaotie Deng, Pengjie Wang, Chuan Yu, Jian Xu, Bo Zheng |
| 2025 | KDD | UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. | 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 | WWW | Explainable LLM-driven Multi-dimensional Distillation for E-Commerce Relevance Learning. | Gang Zhao, Ximing Zhang, Chenji Lu, Hui Zhao, Tianshu Wu, Pengjie Wang, Jian Xu, Bo Zheng |
| 2025 | WSDM | Gradient Deconfliction via Orthogonal Projections onto Subspaces For Multi-task Learning. | Shijie Zhu, Hui Zhao, Tianshu Wu, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng |
| 2024 | ECAI | Learning A Closed-Loop Bidirectional Scale-Recurrent Network for Image Deraining. | Peizhou Huang, Zixuan Zhong, Pengjie Wang, Xiangyu Wang, Xiang Chen |
| 2024 | ICDAR | Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction. | Pengjie Wang, Kaile Zhang, Xinyu Wang, Shengwei Han, Yongge Liu, Lianwen Jin, Xiang Bai, Yuliang Liu |
| 2024 | WSDM | Unified Visual Preference Learning for User Intent Understanding. | Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li |
| 2022 | WWW | Asymptotically Unbiased Estimation for Delayed Feedback Modeling via Label Correction. | Yu Chen, Jiaqi Jin, Hui Zhao, Pengjie Wang, Guojun Liu, Jian Xu, Bo Zheng |
| 2022 | SIGIR | Joint Optimization of Ad Ranking and Creative Selection. | Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng |
| 2021 | CIKM | Binary Code based Hash Embedding for Web-scale Applications. | Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | CIKM | Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer. | Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2021 | SIGIR | Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. | Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng |
| 2021 | SIGIR | Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach. | Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng |
| 2019 | SIGIR | Graph Intention Network for Click-through Rate Prediction in Sponsored Search. | Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu |