Yejing Wang

68 papers A* 16A 6Misc 5Journal 33Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attention Needs to Focus: A Unified Perspective on Attention Allocation.
CoRR
Zichuan Fu, Wentao Song, Guojing Li, Yejing Wang, Xian Wu, Yimin Deng, Hanyu Yan, Yefeng Zheng, Xiangyu Zhao
2026 J jnl
Enhancing Conversational Agents via Task-Oriented Adversarial Memory Adaptation.
CoRR
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
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
PretrainRL: Alleviating Factuality Hallucination of Large Language Models at the Beginning.
CoRR
Langming Liu, Kangtao Lv, Haibin Chen, Weidong Zhang, Yejing Wang, Shilei Liu, Xin Tong, Yujin Yuan, Yongwei Wang, Wenbo Su, Bo Zheng
2025 — conf
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.
ACL (Findings)
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 J jnl
A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs.
CoRR
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 A* conf
Behavior Modeling Space Reconstruction for E-Commerce Search.
WWW
Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin
2025 J jnl
Behavior Modeling Space Reconstruction for E-Commerce Search.
CoRR
Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuewei Tao, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin
2025 A* conf
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.
SIGIR
Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
2025 J jnl
Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.
CoRR
Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian
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
Generative Auto-Bidding with Value-Guided Explorations.
SIGIR
Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Peng Jiang, Kun Gai, Bo An, Xiangyu Zhao
2025 J jnl
Generative Auto-Bidding with Value-Guided Explorations.
CoRR
Jingtong Gao, Yewen Li, Shuai Mao, Peng Jiang, Nan Jiang, Yejing Wang, Qingpeng Cai, Fei Pan, Kun Gai, Bo An, Xiangyu Zhao
2025 — conf
Joint Modeling in Deep Recommender Systems.
WWW (Companion Volume)
Pengyue Jia, Jingtong Gao, Yejing Wang, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
2025 J jnl
LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training.
CoRR
Ziwei Liu, Qidong Liu, Wanyu Wang, Yejing Wang, Tong Xu, Wei Huang, Chong Chen, Peng Chuan, Xiangyu Zhao
2025 A* conf
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation.
AAAI
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2025 — conf
Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends.
KDD (2)
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 — conf
Model Merging for Knowledge Editing.
ACL (6)
Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
2025 J jnl
Model Merging for Knowledge Editing.
CoRR
Zichuan Fu, Xian Wu, Guojing Li, Yingying Zhang, Yefeng Zheng, Tianshi Ming, Yejing Wang, Wanyu Wang, Xiangyu Zhao
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
Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration.
CoRR
Jingtong Gao, Ling Pan, Yejing Wang, Rui Zhong, Chi Lu, Qingpeng Cai, Peng Jiang, Xiangyu Zhao
2025 A conf
Prompt Tuning as User Inherent Profile Inference Machine.
CIKM
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 A* conf
SIGMA: Selective Gated Mamba for Sequential Recommendation.
AAAI
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2025 A conf
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CIKM
Xiaopeng Li, Jingtong Gao, Pengyue Jia, Xiangyu Zhao, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2025 J jnl
Sliding Window Attention Training for Efficient Large Language Models.
CoRR
Zichuan Fu, Wentao Song, Yejing Wang, Xian Wu, Yefeng Zheng, Yingying Zhang, Derong Xu, Xuetao Wei, Tong Xu, Xiangyu Zhao
2025 J jnl
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation.
CoRR
Ziwei Liu, Yejing Wang, Qidong Liu, Zijian Zhang, Chong Chen, Wei Huang, Xiangyu Zhao
2025 — conf
Training-free LLM Merging for Multi-task Learning.
ACL (1)
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2025 J jnl
Training-free LLM Merging for Multi-task Learning.
CoRR
Zichuan Fu, Xian Wu, Yejing Wang, Wanyu Wang, Shanshan Ye, Hongzhi Yin, Yi Chang, Yefeng Zheng, Xiangyu Zhao
2024 J jnl
A Comprehensive Survey on Automated Machine Learning for Recommendations.
Trans. Recomm. Syst.
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2024 A* conf
Bi-Level User Modeling for Deep Recommenders.
ICDM
Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
2024 J jnl
Bidirectional Gated Mamba for Sequential Recommendation.
CoRR
Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao
2024 A* conf
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
KDD
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems.
CoRR
Pengyue Jia, Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Yichao Wang, Bo Chen, Wanyu Wang, Huifeng Guo, Ruiming Tang
2024 J jnl
GPRec: Bi-level User Modeling for Deep Recommenders.
CoRR
Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu
2024 A* conf
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.
NeurIPS
Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao
2024 J jnl
Large Language Model Empowered Embedding Generator for Sequential Recommendation.
CoRR
Qidong Liu, Xian Wu, Wanyu Wang, Yejing Wang, Yuanshao Zhu, Xiangyu Zhao, Feng Tian, Yefeng Zheng
2024 J jnl
Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.
CoRR
Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian
2024 J jnl
Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.
CoRR
Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng
2024 A conf
MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.
WSDM
Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao
2024 A* conf
OpenSiteRec: An Open Dataset for Site Recommendation.
SIGIR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Chong Chen, Cheng Long, Yong Zhang, Chunxiao Xing
2024 J jnl
Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark.
CoRR
Xiaopeng Li, Jingtong Gao, Pengyue Jia, Yichao Wang, Wanyu Wang, Yejing Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
2023 A* conf
AutoDenoise: Automatic Data Instance Denoising for Recommendations.
WWW
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023 J jnl
AutoDenoise: Automatic Data Instance Denoising for Recommendations.
CoRR
Weilin Lin, Xiangyu Zhao, Yejing Wang, Yuanshao Zhu, Wanyu Wang
2023 A conf
AutoML for Deep Recommender Systems: Fundamentals and Advances.
WSDM
Ruiming Tang, Bo Chen, Yejing Wang, Huifeng Guo, Yong Liu, Wenqi Fan, Xiangyu Zhao
2023 A* conf
Doctor Specific Tag Recommendation for Online Medical Record Management.
KDD
Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng
2023 J jnl
OpenSiteRec: An Open Dataset for Site Recommendation.
CoRR
Xinhang Li, Xiangyu Zhao, Yejing Wang, Yu Liu, Yong Li, Cheng Long, Yong Zhang, Chunxiao Xing
2023 A conf
STRec: Sparse Transformer for Sequential Recommendations.
RecSys
Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li
2023 A* conf
Single-shot Feature Selection for Multi-task Recommendations.
SIGIR
Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong
2022 — conf
Accepted Tutorials at The Web Conference 2022.
WWW (Companion Volume)
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 A* conf
AdaFS: Adaptive Feature Selection in Deep Recommender System.
KDD
Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu
2022 A* conf
AutoField: Automating Feature Selection in Deep Recommender Systems.
WWW
Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu
2022 J jnl
AutoField: Automating Feature Selection in Deep Recommender Systems.
CoRR
Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu
2022 J jnl
Automated Machine Learning for Deep Recommender Systems: A Survey.
CoRR
Bo Chen, Xiangyu Zhao, Yejing Wang, Wenqi Fan, Huifeng Guo, Ruiming Tang
2006 J jnl
Amicable orthogonal designs of order 8 for complex space-time block codes.
Australas. J Comb.
Ying Zhao, Jennifer Seberry, Tianbing Xia, Yejing Wang, Beata J. Wysocki, Tadeusz A. Wysocki, Le Chung Tran
2006 J jnl
On amicable orthogonal designs of order 8.
Australas. J Comb.
Ying Zhao, Yejing Wang, Jennifer Seberry
2005 J jnl
An exposure property of block designs.
Australas. J Comb.
Yejing Wang, Jennifer Seberry, Beata J. Wysocki, Tadeusz A. Wysocki, Le Chung Tran, Ying Zhao, Tianbing Xia
2003 J jnl
A Note on the Exposure Property of SBIBD.
Electron. Notes Discret. Math.
Yejing Wang, Jennifer Seberry, Reihaneh Safavi-Naini, Ryoh Fuji-Hara
2003 J jnl
Sequential traitor tracing.
IEEE Trans. Inf. Theory
Reihaneh Safavi-Naini, Yejing Wang
2002 Misc conf
A 2-Secure Code with Efficient Tracing Algorithm.
INDOCRYPT
Vu Dong Tô, Reihaneh Safavi-Naini, Yejing Wang
2002 — conf
Traitor Tracing for Shortened and Corrupted Fingerprints.
Digital Rights Management Workshop
Reihaneh Safavi-Naini, Yejing Wang
2001 — conf
Collusion Secure q-ary Fingerprinting for Perceptual Content.
Digital Rights Management Workshop
Reihaneh Safavi-Naini, Yejing Wang
2001 J jnl
New results on frame-proof codes and traceability schemes.
IEEE Trans. Inf. Theory
Reihaneh Safavi-Naini, Yejing Wang
2000 Misc conf
A Combinatorial Approach to Asymmetric Traitor Tracing.
COCOON
Reihaneh Safavi-Naini, Yejing Wang
2000 Misc conf
Anonymous Traceability Schemes with Unconditional Security.
INDOCRYPT
Reihaneh Safavi-Naini, Yejing Wang
2000 A* conf
Sequential Traitor Tracing.
CRYPTO
Reihaneh Safavi-Naini, Yejing Wang
1999 A conf
A
ASIACRYPT
Yejing Wang, Reihaneh Safavi-Naini
1999 Misc conf
Characterization of Optimal Authentication Codes with Arbitration.
ACISP
Dingyi Pei, Yuqiang Li, Yejing Wang, Reihaneh Safavi-Naini
1998 Misc conf
Bounds and Constructions for A
ACISP
Reihaneh Safavi-Naini, Yejing Wang