Zhaocheng Du

50 papers A* 12A 6Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2026 A* conf
AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search.
WWW
Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng
2026 A* conf
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
WWW
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2026 J jnl
CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation.
CoRR
Jingyu Li, Zhaocheng Du, Qianhui Zhu, Kaiyuan Li, Zhicheng Zhang, Song-Li Wu, Chaolang Li, Pengwen Dai
2026 A* conf
FairFS: Addressing Deep Feature Selection Biases for Recommender System.
WWW
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang
2026 J jnl
FairFS: Addressing Deep Feature Selection Biases for Recommender System.
CoRR
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang
2026 A* conf
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.
AAAI
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong
2026 J jnl
Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.
CoRR
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong
2026 J jnl
MALLOC: Benchmarking the Memory-aware Long Sequence Compression for Large Sequential Recommendation.
CoRR
Qihang Yu, Kairui Fu, Zhaocheng Du, Yuxuan Si, Kaiyuan Li, Weihao Zhao, Zhicheng Zhang, Jieming Zhu, Quanyu Dai, Zhenhua Dong, Shengyu Zhang, Kun Kuang, Fei Wu
2026 A* conf
REACTION: Parameter-Efficient Learning for Recommendation.
AAAI
Song-Li Wu, Zhaocheng Du, Qinglin Jia, Zhenhua Dong
2025 J jnl
A Survey of Personalization: From RAG to Agent.
CoRR
Xiaopeng Li, Pengyue Jia, Derong Xu, Yi Wen, Yingyi Zhang, Wenlin Zhang, Wanyu Wang, Yichao Wang, Zhaocheng Du, Xiangyang Li, Yong Liu, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.
CoRR
Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao
2025 — conf
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
ACL (Findings)
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Yichao Wang, Yuhao Wang, Qidong Liu, Maolin Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning.
CoRR
Yuqi Zhou, Shuai Wang, Sunhao Dai, Qinglin Jia, Zhaocheng Du, Zhenhua Dong, Jun Xu
2025 A* conf
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration.
ACM Multimedia
Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu
2025 J jnl
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration.
CoRR
Tianqi Liu, Kairui Fu, Shengyu Zhang, Wenyan Fan, Zhaocheng Du, Jieming Zhu, Fan Wu, Fei Wu
2025 — conf
Few-shot LLM Synthetic Data with Distribution Matching.
WWW (Companion Volume)
Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong
2025 J jnl
Few-shot LLM Synthetic Data with Distribution Matching.
CoRR
Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong
2025 A* conf
ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment.
EMNLP
Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong
2025 J jnl
Inference Computation Scaling for Feature Augmentation in Recommendation Systems.
CoRR
Weihao Liu, Zhaocheng Du, Haiyuan Zhao, Wenbo Zhang, Xiaoyan Zhao, Gang Wang, Zhenhua Dong, Jun Xu
2025 — conf
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
KDD (2)
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 J jnl
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration.
CoRR
Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao
2025 A* conf
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
WWW
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 J jnl
MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising.
CoRR
Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong
2025 A* conf
Mitigating Source Bias with LLM Alignment.
SIGIR
Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu
2025 J jnl
No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction.
CoRR
Qinglin Jia, Zhaocheng Du, Chuhan Wu, Huifeng Guo, Ruiming Tang, Shuting Shi, Muyu Zhang
2025 J jnl
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.
CoRR
Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, 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 — conf
Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision.
EMNLP (Findings)
Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong
2025 A conf
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems.
CIKM
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2025 — conf
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
WWW (Companion Volume)
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 J jnl
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations.
CoRR
Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao
2025 — conf
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems.
KDD (2)
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong
2025 J jnl
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems.
CoRR
Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong
2024 A conf
A Tutorial on Feature Interpretation in Recommender Systems.
RecSys
Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen
2024 J jnl
AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems.
CoRR
Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, Huifeng Guo, Ruiming Tang
2024 J jnl
Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation.
CoRR
Pengyue Jia, Derong Xu, Xiaopeng Li, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Yichao Wang, Yuhao Wang, Huifeng Guo, Ruiming Tang
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 — conf
LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.
WWW (Companion Volume)
Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang
2024 A* conf
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
KDD
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 J jnl
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey.
CoRR
Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong
2024 J jnl
Prompt Tuning as User Inherent Profile Inference Machine.
CoRR
Yusheng Lu, Zhaocheng Du, Xiangyang Li, Xiangyu Zhao, Weiwen Liu, Yichao Wang, Huifeng Guo, Ruiming Tang, Zhenhua Dong, Yongrui Duan
2024 A conf
Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
RecSys
Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li
2024 J jnl
RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models.
CoRR
Zhuo Wu, Qinglin Jia, Chuhan Wu, Zhaocheng Du, Shuai Wang, Zan Wang, Zhenhua Dong
2024 J jnl
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation.
CoRR
Yuang Zhao, Zhaocheng Du, Qinglin Jia, Linxuan Zhang, Zhenhua Dong, Ruiming Tang
2024 J jnl
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval.
CoRR
Xiaopeng Li, Xiangyang Li, Hao Zhang, Zhaocheng Du, Pengyue Jia, Yichao Wang, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
2024 A conf
UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning.
CIKM
Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng
2023 A conf
Diffusion Augmentation for Sequential Recommendation.
CIKM
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
2023 J jnl
Diffusion Augmentation for Sequential Recommendation.
CoRR
Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian
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