Zhaocheng Du
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
9
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | REACTION: Parameter-Efficient Learning for Recommendation. | Song-Li Wu, Zhaocheng Du, Qinglin Jia, Zhenhua Dong |
| 2026 | AAAI | Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction. | 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 | ACL | From ID to LLM: Rethinking Representation Learning for Recommendation. | Song-Li Wu, Zhaocheng Du, Weinan Gan, Jingyi Wang, Xianquan Wang |
| 2026 | ACL | CaPEdit: Capability-Preserving Lifelong Knowledge Editing For Language Models. | Song-Li Wu, Zhaocheng Du, Xianquan Wang, Jingyi Wang |
| 2026 | PAKDD | Learning Multi-aspect Item Palette: A Semantic Tokenization Framework for Generative Recommendation. | Qijiong Liu, Jieming Zhu, Zhaocheng Du, Lu Fan, Zhou Zhao, Xiao-Ming Wu |
| 2026 | WWW | AFE-Master: Enhancing LLM-Driven Autonomous Feature Engineering with Domain-Specific Language Parsing and Guided Local Search. | Hebin Liang, Jianye Hao, Jinyi Liu, Yi Ma, Zilin Cao, Jing Liang, Kun Shao, Zhaocheng Du, Fei Ni, Yifu Yuan, Yan Zheng |
| 2026 | WWW | BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations. | 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 | WWW | FairFS: Addressing Deep Feature Selection Biases for Recommender System. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Qinglin Jia, Zhenhua Dong, Kai Zhang |
| 2026 | SIGIR | FollowTable: A Benchmark for Instruction-Following Table Retrieval. | Rihui Jin, Yuchen Lu, Ting Zhang, Jun Wang, Kuicai Dong, Zhaocheng Du, Dongping Liu, Gang Wang, Yong Liu, Guilin Qi |
| 2025 | ACL | Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. | 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 | CIKM | SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems. | Pengyue Jia, Zhaocheng Du, Yichao Wang, Xiangyu Zhao, Xiaopeng Li, Yuhao Wang, Qidong Liu, 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 | EMNLP | ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment. | Zhipeng Bian, Jieming Zhu, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong |
| 2025 | EMNLP | Q-PRM: Adaptive Query Rewriting for Retrieval-Augmented Generation via Step-level Process Supervision. | Xiaopeng Ye, Chen Xu, Chaoliang Zhang, Zhaocheng Du, Jun Xu, Gang Wang, Zhenhua Dong |
| 2025 | KDD | TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. | Xianquan Wang, Zhaocheng Du, Jieming Zhu, Chuhan Wu, Qinglin Jia, Zhenhua Dong |
| 2025 | KDD | LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. | Yingyi Zhang, Pengyue Jia, Xianneng Li, Derong Xu, Maolin Wang, Yichao Wang, Zhaocheng Du, Huifeng Guo, Yong Liu, Ruiming Tang, Xiangyu Zhao |
| 2025 | WWW | MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. | Quanyu Dai, Jiaren Xiao, Zhaocheng Du, Jieming Zhu, Chengxiao Luo, Xiao-Ming Wu, Zhenhua Dong |
| 2025 | WWW | SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. | Jingtong Gao, Zhaocheng Du, Xiaopeng Li, Yichao Wang, Xiangyang Li, Huifeng Guo, Ruiming Tang, Xiangyu Zhao |
| 2025 | WWW | Few-shot LLM Synthetic Data with Distribution Matching. | Jiyuan Ren, Zhaocheng Du, Zhihao Wen, Qinglin Jia, Sunhao Dai, Chuhan Wu, Zhenhua Dong |
| 2025 | SIGIR | Mitigating Source Bias with LLM Alignment. | Sunhao Dai, Yuqi Zhou, Liang Pang, Zhuoyang Li, Zhaocheng Du, Gang Wang, Jun Xu |
| 2024 | CIKM | UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning. | Boqi Dai, Zhaocheng Du, Jieming Zhu, Jintao Xu, Deqing Zou, Quanyu Dai, Zhenhua Dong, Rui Zhang, Hai-Tao Zheng |
| 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 | KDD | Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. | Qijiong Liu, Jieming Zhu, Yanting Yang, Quanyu Dai, Zhaocheng Du, Xiao-Ming Wu, Zhou Zhao, Rui Zhang, Zhenhua Dong |
| 2024 | RecSys | A Tutorial on Feature Interpretation in Recommender Systems. | Zhaocheng Du, Chuhan Wu, Qinglin Jia, Jieming Zhu, Xu Chen |
| 2024 | RecSys | Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. | Yu Liu, Qinglin Jia, Shuting Shi, Chuhan Wu, Zhaocheng Du, Zheng Xie, Ruiming Tang, Muyu Zhang, Ming Li |
| 2024 | WWW | LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. | Zhaocheng Du, Junhao Chen, Qinglin Jia, Chuhan Wu, Jieming Zhu, Zhenhua Dong, Ruiming Tang |
| 2023 | CIKM | Diffusion Augmentation for Sequential Recommendation. | Qidong Liu, Fan Yan, Xiangyu Zhao, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Feng Tian |
| 2023 | SIGIR | Single-shot Feature Selection for Multi-task Recommendations. | Yejing Wang, Zhaocheng Du, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang, Zhenhua Dong |