Linjian Mo - researchr alias

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Viewing Publication 1 - 29 from 29

2023

Model-Based Reinforcement Learning for Auto-bidding in Display AdvertisingShuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo. atal 2023: 1560-1568 [doi]

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario RecommendationWenzhuo Cheng, Ke Ding, Xin Dong, Yong He 0009, Liang Zhang, Linjian Mo. CIKM 2023: 3803-3807 [doi]

BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate PredictionYin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo. sigir 2023: 1859-1863 [doi]

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic IntentionsBohan Jia, Jian Cao 0001, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo. tkdd, 17(8), 2023. [doi]

Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional NetworkYecheng Liu, Xu Chen, Yongxin Xu, Dong Xiang, Linjian Mo. itsc 2022: 880-886 [doi]

DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate PredictionBin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo. CIKM 2023: 4279-4283 [doi]

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain RecommendationCaiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo. AAAI 2023: 9900-9908 [doi]

DCBT: A Simple But Effective Way for Unified Warm and Cold RecommendationJieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo. sigir 2023: 3369-3373 [doi]

2022

CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-interventionZhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo. CIKM 2022: 3883-3887 [doi]

GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation SystemsKe Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo. CIKM 2022: 3918-3922 [doi]

MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task LearningXin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao 0001, Linjian Mo. CIKM 2022: 3923-3927 [doi]

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task LearningXin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao 0001, Linjian Mo. CIKM 2022: 386-395 [doi]

Mixture of Graph Enhanced Expert Networks for Multi-task RecommendationBinbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou. pricai 2022: 3-16 [doi]

An Industrial Framework for Cold-Start Recommendation in Zero-Shot ScenariosZhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo. sigir 2022: 3403-3407 [doi]

A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate PredictionHai Li, Xin Dong, Lei Cheng, Linjian Mo. CIKM 2022: 4163-4167 [doi]

Multi-interest Sequence Modeling for Recommendation with Causal EmbeddingCaiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo. sdm 2022: 406-414 [doi]

Task Similarity Aware Meta Learning for Cold-Start RecommendationJieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo. CIKM 2022: 4630-4634 [doi]

A Non-sequential Approach to Deep User Interest Model for CTR PredictionKeke Zhao, Xing Zhao, Qi Cao, Linjian Mo. sdm 2022: 531-539 [doi]

2021

2007

Multiframe Error Concealment for Whole-Frame Loss in H.264/AVCYi Liu, Jiajun Bu, Chun Chen, Linjian Mo, Kewei He. icip 2007: 281-284 [doi]

Complexity Reduction of Multi-frame Motion Estimation in H.264Linjian Mo, Jiajun Bu, Chun Chen, Zhi Yang, Yi Liu. mmm 2007: 557-567 [doi]

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