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2020 – today
- 2026
[c8]Bencheng Yan, Shilei Liu
, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. WSDM 2026: 798-807- 2025
- [j1]Langming Liu, Ding-Xuan Zhou:
Analysis of regularized federated learning. Neurocomputing 611: 128579 (2025) - [c7]Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng:
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CIKM 2025: 6461-6465 - [c6]Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng:
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. EMNLP 2025: 26193-26208 - [c5]Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao:
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. KDD (2) 2025: 4635-4646 - [c4]Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng:
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. KDD (2) 2025: 5311-5321 - [c3]Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD (2) 2025: 5652-5661 - [i11]Bencheng Yan, Shilei Liu, Zhiyuan Zeng, Zihao Wang, Yizhen Zhang, Yujin Yuan, Langming Liu, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. CoRR abs/2502.08309 (2025) - [i10]Langming Liu, Shilei Liu, Yujin Yuan, Yizhen Zhang, Bencheng Yan, Zhiyuan Zeng, Zihao Wang, Jiaqi Liu, Di Wang, Wenbo Su, Pengjie Wang, Jian Xu, Bo Zheng:
UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. CoRR abs/2502.19178 (2025) - [i9]Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng:
ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. CoRR abs/2502.20196 (2025) - [i8]Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Zhao-Xiang Zhang, Bo Zheng:
ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CoRR abs/2503.15990 (2025) - [i7]Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Zhao-Xiang Zhang:
Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. CoRR abs/2506.23090 (2025) - [i6]Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng:
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. CoRR abs/2509.19371 (2025) - [i5]Yejing Wang, Shengyu Zhou, Jinyu Lu, Ziwei Liu, Langming Liu, Maolin Wang, Wenlin Zhang, Feng Li, Wenbo Su, Pengjie Wang, Jian Xu, Xiangyu Zhao:
NEZHA: A Zero-sacrifice and Hyperspeed Decoding Architecture for Generative Recommendations. CoRR abs/2511.18793 (2025) - 2024
- [c2]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CIKM 2024: 1452-1461 - [i4]Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu:
Cumulative Distribution Function based General Temporal Point Processes. CoRR abs/2402.00388 (2024) - [i3]Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. CoRR abs/2411.01537 (2024) - [i2]Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li:
Efficient and Robust Regularized Federated Recommendation. CoRR abs/2411.01540 (2024) - [i1]Langming Liu, Ding-Xuan Zhou:
Analysis of regularized federated learning. CoRR abs/2411.01548 (2024) - 2023
- [c1]Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li:
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR 2023: 289-299
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