Yejing Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
16
Active years
1998–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MultiDx: A Multi-Source Knowledge Integration Framework towards Diagnostic Reasoning. | Yimin Deng, Zhenxi Lin, Yejing Wang, Guoshuai Zhao, Pengyue Jia, Zichuan Fu, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Li Zhu, Xian Wu, Xueming Qian |
| 2026 | ACL | AdapTime: Enabling Adaptive Temporal Reasoning in Large Language Models. | Yimin Deng, Yejing Wang, Zhenxi Lin, Zichuan Fu, Guoshuai Zhao, Derong Xu, Yefeng Zheng, Xiangyu Zhao, Xian Wu, Li Zhu, Xueming Qian |
| 2026 | ACL | SEARCH-R: Structured Entity-Aware Retrieval with Chain-of-Reasoning Navigator for Multi-hop Question Answering. | Yuqing Fu, Yimin Deng, Wanyu Wang, Yuhao Wang, Yejing Wang, Hongshi Liu, Yiqi Wang, Xiao Han, Maolin Wang, Guoshuai Zhao, Yi Chang, Xiangyu Zhao |
| 2026 | ACL | Tandem: Riding Together with Large and Small Language Models for Efficient Reasoning. | Zichuan Fu, Xian Wu, Guojing Li, Yejing Wang, Yijun Chen, Zihao Zhao, Yixuan Luo, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao |
| 2026 | ACL | PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning. | Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng |
| 2026 | PAKDD | AEGI: Anchor Event Guided Inference for TKGQA. | Yuqing Fu, Yimin Deng, Yejing Wang, Li Zhu, Xueming Qian, Guoshuai Zhao, Xiangyu Zhao |
| 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 | LLM-EDT: Large Language Models Enhanced Cross-domain Sequential Recommendation with Dual-phase Training. | Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Pengyue Jia, Tong Xu, Wei Huang, Chong Chen, Xiangyu Zhao |
| 2026 | SIGIR | Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery. | Xiaopeng Li, Wenlin Zhang, Yingyi Zhang, Pengyue Jia, Yejing Wang, Yichao Wang, Yong Liu, Huifeng Guo, 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 |
| 2025 | AAAI | LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation. | Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng |
| 2025 | AAAI | SIGMA: Selective Gated Mamba for Sequential Recommendation. | Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao |
| 2025 | ACL | A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs. | Yimin Deng, Yuxia Wu, Yejing Wang, Guoshuai Zhao, Li Zhu, Qidong Liu, Derong Xu, Zichuan Fu, Xian Wu, Yefeng Zheng, Xiangyu Zhao, Xueming Qian |
| 2025 | ACL | Model Merging for Knowledge Editing. | Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao |
| 2025 | ACL | Training-free LLM Merging for Multi-task Learning. | Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao |
| 2025 | CIKM | Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark. | Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang |
| 2025 | CIKM | Prompt Tuning as User Inherent Profile Inference Machine. | Yusheng Lu, Zhaocheng Du, Xiangyang Li, Pengyue Jia, Yejing Wang, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan, Xiangyu Zhao |
| 2025 | KDD | Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends. | Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian |
| 2025 | WWW | Joint Modeling in Deep Recommender Systems. | Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang |
| 2025 | WWW | Behavior Modeling Space Reconstruction for E-Commerce Search. | Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin |
| 2025 | SIGIR | Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation. | Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian |
| 2025 | SIGIR | Generative Auto-Bidding with Value-Guided Explorations. | Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao |
| 2024 | ICDM | Bi-Level User Modeling for Deep Recommenders. | Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu |
| 2024 | KDD | ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. | Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang |
| 2024 | SIGIR | OpenSiteRec: An Open Dataset for Site Recommendation. | Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing |
| 2024 | WSDM | MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems. | Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao |
| 2023 | KDD | Doctor Specific Tag Recommendation for Online Medical Record Management. | Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng |
| 2023 | RecSys | STRec: Sparse Transformer for Sequential Recommendations. | Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li |
| 2023 | WWW | AutoDenoise: Automatic Data Instance Denoising for Recommendations. | Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang |
| 2023 | SIGIR | Single-shot Feature Selection for Multi-task Recommendations. | Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong |
| 2023 | WSDM | AutoML for Deep Recommender Systems: Fundamentals and Advances. | Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao |
| 2022 | KDD | AdaFS: Adaptive Feature Selection in Deep Recommender System. | Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | WWW | AutoField: Automating Feature Selection in Deep Recommender Systems. | Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu |
| 2002 | CCS | Traitor Tracing for Shortened and Corrupted Fingerprints. | Reihaneh Safavi-Naini, Yejing Wang |
| 2002 | INDOCRYPT | A 2-Secure Code with Efficient Tracing Algorithm. | Vu Dong T, Reihaneh Safavi-Naini, Yejing Wang |
| 2001 | CCS | Collusion Secure q-ary Fingerprinting for Perceptual Content. | Reihaneh Safavi-Naini, Yejing Wang |
| 2000 | COCOON | A Combinatorial Approach to Asymmetric Traitor Tracing. | Reihaneh Safavi-Naini, Yejing Wang |
| 2000 | CRYPTO | Sequential Traitor Tracing. | Reihaneh Safavi-Naini, Yejing Wang |
| 2000 | INDOCRYPT | Anonymous Traceability Schemes with Unconditional Security. | Reihaneh Safavi-Naini, Yejing Wang |
| 1999 | ACISP | Characterization of Optimal Authentication Codes with Arbitration. | Dingyi Pei, Yuqiang Li, Yejing Wang, Reihaneh Safavi-Naini |
| 1999 | ASIACRYPT | A | Yejing Wang, Reihaneh Safavi-Naini |
| 1998 | ACISP | Bounds and Constructions for A | Reihaneh Safavi-Naini, Yejing Wang |