Langming Liu - RankMe

27 papers A* 3A 3Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CoMeT: Collaborative Memory Transformer for Efficient Long Context Modeling. CoRR Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng
2026	J	`jnl`	Data Distribution Matters: A Data-Centric Perspective on Context Compression for Large Language Model. CoRR Kangtao Lv, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Shilei Liu, Yongwei Wang, Yujin Yuan, Wenbo Su, Bo Zheng
2026	J	`jnl`	Expert Divergence Learning for MoE-based Language Models. CoRR Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng
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`	PoC: Performance-oriented Context Compression for Large Language Models via Performance Prediction. CoRR Runsong Zhao, Shilei Liu, Jiwei Tang, Langming Liu, Haibin Chen, Weidong Zhang, Yujin Yuan, Tong Xiao, Jingbo Zhu, Wenbo Su, Bo Zheng
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
2026	J	`jnl`	Read As Human: Compressing Context via Parallelizable Close Reading and Skimming. CoRR Jiwei Tang, Shilei Liu, Zhicheng Zhang, Qingsong Lv, Runsong Zhao, Tingwei Lu, Langming Liu, Haibin Chen, Yujin Yuan, Hai-Tao Zheng, Wenbo Su, Bo Zheng
2026	A	`conf`	Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. WSDM 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
2025	J	`jnl`	Analysis of regularized federated learning. Neurocomputing Langming Liu, Ding-Xuan Zhou
2025	—	`conf`	ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. KDD (2) Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng
2025	J	`jnl`	ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models. CoRR Haibin Chen, Kangtao Lv, Chengwei Hu, Yanshi Li, Yujin Yuan, Yancheng He, Xingyao Zhang, Langming Liu, Shilei Liu, Wenbo Su, Bo Zheng
2025	A	`conf`	ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CIKM Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng
2025	J	`jnl`	ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. CoRR Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Zhao-Xiang Zhang, Bo Zheng
2025	A*	`conf`	How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. EMNLP Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng
2025	J	`jnl`	How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models. CoRR Kangtao Lv, Haibin Chen, Yujin Yuan, Langming Liu, Shilei Liu, Yongwei Wang, Wenbo Su, Bo Zheng
2025	—	`conf`	Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. KDD (2) Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Xiangyu Zhao
2025	J	`jnl`	Multi-task Offline Reinforcement Learning for Online Advertising in Recommender Systems. CoRR Langming Liu, Wanyu Wang, Chi Zhang, Bo Li, Hongzhi Yin, Xuetao Wei, Wenbo Su, Bo Zheng, Zhao-Xiang Zhang
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	—	`conf`	UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. KDD (2) 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
2025	J	`jnl`	UQABench: Evaluating User Embedding for Prompting LLMs in Personalized Question Answering. CoRR 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
2025	J	`jnl`	Unlocking Scaling Law in Industrial Recommendation Systems with a Three-step Paradigm based Large User Model. CoRR 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
2024	J	`jnl`	Analysis of regularized federated learning. CoRR Langming Liu, Ding-Xuan Zhou
2024	J	`jnl`	Cumulative Distribution Function based General Temporal Point Processes. CoRR Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu
2024	A	`conf`	Efficient and Robust Regularized Federated Recommendation. CIKM Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024	J	`jnl`	Efficient and Robust Regularized Federated Recommendation. CoRR Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li
2024	J	`jnl`	LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. CoRR Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li
2023	A*	`conf`	LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. SIGIR Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li