Yejing Wang

According to our database, Yejing Wang authored at least 62 papers between 1998 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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

CoRR, April, 2026

Job Skill Extraction via LLM-Centric Multi-Module Framework.

Guojing Li, Zichuan Fu, Junyi Li, Faxue Liu, Wenxia Zhou, Yejing Wang, Jingtong Gao, Maolin Wang, Rungen Liu, Wenlin Zhang, Xiangyu Zhao

CoRR, April, 2026

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

CoRR, February, 2026

Enhancing Conversational Agents via Task-Oriented Adversarial Memory Adaptation.

Yimin Deng, Yuqing Fu, Derong Xu, Yejing Wang, Wei Ni, Jingtong Gao, Xiaopeng Li, Chengxu Liu, Xiao Han, Guoshuai Zhao, Xiangyu Zhao, Li Zhu, Xueming Qian

CoRR, January, 2026

Attention Needs to Focus: A Unified Perspective on Attention Allocation.

Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao

CoRR, January, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

2025

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation.

Ziwei Liu, Yejing Wang, Qidong Liu, Zijian Zhang, Chong Chen, Wei Huang, Xiangyu Zhao

CoRR, December, 2025

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training.

Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Tong Xu, Wei Huang, Chong Chen, Peng Chuan, Xiangyu Zhao

CoRR, November, 2025

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, Jian Xu, Bo Zheng, Xiangyu Zhao

CoRR, June, 2025

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration.

Jingtong Gao, Ling Pan, Yejing Wang, Rui Zhong, Chi Lu, Qingpeng Cai, Peng Jiang, Xiangyu Zhao

CoRR, May, 2025

Generative Auto-Bidding with Value-Guided Explorations.

Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Kun Gai, Bo An, Xiangyu Zhao

CoRR, April, 2025

Sliding Window Attention Training for Efficient Large Language Models.

Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao

CoRR, February, 2025

Behavior Modeling Space Reconstruction for E-Commerce Search.

Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuewei Tao, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin

CoRR, January, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Model Merging for Knowledge Editing.

Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track), 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Comprehensive Survey on Automated Machine Learning for Recommendations.

Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang

Trans. Recomm. Syst., June, 2024

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.

Xiaopeng Li, Jingtong Gao, Pengyue Jia, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang

CoRR, 2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.

Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian

CoRR, 2024

GPRec: 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

CoRR, 2024

Large Language Model Empowered Embedding Generator for Sequential Recommendation.

Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng

CoRR, 2024

Bidirectional Gated Mamba for Sequential Recommendation.

Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao

CoRR, 2024

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng

CoRR, 2024

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

CoRR, 2024

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

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

OpenSiteRec: An Open Dataset for Site Recommendation.

Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.

Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

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

Proceedings of the IEEE International Conference on Data Mining, 2024

2023

OpenSiteRec: An Open Dataset for Site Recommendation.

Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing

CoRR, 2023

AutoDenoise: Automatic Data Instance Denoising for Recommendations.

Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang

Proceedings of the ACM Web Conference 2023, 2023

AutoML for Deep Recommender Systems: Fundamentals and Advances.

Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Single-shot Feature Selection for Multi-task Recommendations.

Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STRec: Sparse Transformer for Sequential Recommendations.

Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Doctor Specific Tag Recommendation for Online Medical Record Management.

Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Automated Machine Learning for Deep Recommender Systems: A Survey.

Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang

CoRR, 2022

AutoField: Automating Feature Selection in Deep Recommender Systems.

Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

AdaFS: Adaptive Feature Selection in Deep Recommender System.

Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2006

On amicable orthogonal designs of order 8.

Ying Zhao, Yejing Wang, Jennifer Seberry

Australas. J Comb., 2006

Amicable orthogonal designs of order 8 for complex space-time block codes.

Ying Zhao, Jennifer Seberry, Tianbing Xia, Yejing Wang, Beata J. Wysocki, Tadeusz A. Wysocki, Le Chung Tran

Australas. J Comb., 2006

2005

An exposure property of block designs.

Yejing Wang, Jennifer Seberry, Beata J. Wysocki, Tadeusz A. Wysocki, Le Chung Tran, Ying Zhao, Tianbing Xia

Australas. J Comb., 2005

2003

A Note on the Exposure Property of SBIBD.

Yejing Wang, Jennifer Seberry, Reihaneh Safavi-Naini, Ryoh Fuji-Hara

Electron. Notes Discret. Math., 2003

2002

A 2-Secure Code with Efficient Tracing Algorithm.

Vu Dong Tô, Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Progress in Cryptology, 2002

Traitor Tracing for Shortened and Corrupted Fingerprints.

Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Security and Privacy in Digital Rights Management, 2002

2001

New results on frame-proof codes and traceability schemes.

Reihaneh Safavi-Naini, Yejing Wang

IEEE Trans. Inf. Theory, 2001

Collusion Secure q-ary Fingerprinting for Perceptual Content.

Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Security and Privacy in Digital Rights Management, 2001

2000

Anonymous Traceability Schemes with Unconditional Security.

Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Progress in Cryptology, 2000

Sequential Traitor Tracing.

Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Advances in Cryptology, 2000

A Combinatorial Approach to Asymmetric Traitor Tracing.

Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Computing and Combinatorics, 6th Annual International Conference, 2000

1999

A³-Codes under Collusion Attacks.

Yejing Wang, Reihaneh Safavi-Naini

Proceedings of the Advances in Cryptology, 1999

Characterization of Optimal Authentication Codes with Arbitration.

Dingyi Pei, Yuqiang Li, Yejing Wang, Reihaneh Safavi-Naini

Proceedings of the Information Security and Privacy, 4th Australasian Conference, 1999

1998

Bounds and Constructions for A³-code with Multi-senders.

Reihaneh Safavi-Naini, Yejing Wang

Proceedings of the Information Security and Privacy, Third Australasian Conference, 1998