Linjian Mo

According to our database, Linjian Mo authored at least 32 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors.

Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo

CoRR, 2024

2023

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions.

Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo

ACM Trans. Knowl. Discov. Data, 2023

AntM²C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang

CoRR, 2023

DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation.

Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction.

Yin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network.

Yecheng Liu, Xu Chen, Yongxin Xu, Dong Xiang, Linjian Mo

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction.

Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation.

Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Model-Based Reinforcement Learning for Auto-bidding in Display Advertising.

Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation.

Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios.

Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Non-sequential Approach to Deep User Interest Model for CTR Prediction.

Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Multi-interest Sequence Modeling for Recommendation with Causal Embedding.

Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation.

Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Task Similarity Aware Meta Learning for Cold-Start Recommendation.

Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction.

Hai Li, Xin Dong, Lei Cheng, Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning.

Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning.

Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems.

Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention.

Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction.

Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo

CoRR, 2021

Learning to Select Instance: Simultaneous Transfer Learning and Clustering.

Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning.

Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2007

Complexity Reduction of Multi-frame Motion Estimation in H.264.

Linjian Mo, Jiajun Bu, Chun Chen, Zhi Yang, Yi Liu

Proceedings of the Advances in Multimedia Modeling, 2007

Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC.

Yi Liu, Jiajun Bu, Chun Chen, Linjian Mo, Kewei He

Proceedings of the International Conference on Image Processing, 2007

2006

Rate Control Scheme for Video Coding Using Low-Memory-Cost Look-Up Table.

Linjian Mo, Chun Chen, Jiajun Bu, Xu Li, Zhi Yang

Proceedings of the Advances in Image and Video Technology, First Pacific Rim Symposium, 2006

Multiple Description Coding Using Adaptive Error Recovery for Real-Time Video Transmission.

Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo, Kangmiao Liu

Proceedings of the Advances in Multimedia Information Processing, 2006

A Novel Fast Error-resilient Video Coding Scheme for H.264.

Jiajun Bu, Linjian Mo, Genfu Shao, Zhi Yang, Chun Chen

Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder.

Jiajun Bu, Linjian Mo, Chun Chen, Zhi Yang, Mingli Song

Proceedings of the International Conference on Image Processing, 2006

2005

A novel fast predictive mode decision algorithm for H.264.

Chun Chen, Linjian Mo, Jiajun Bu, Shuiyong Lou, Zhi Yang

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Speed Optimization of a MPEG-4 Software Decoder Based on ARM Family Cores.

Linjian Mo, Haixiang Zhang, Jiajun Bu, Chun Chen

Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Configurable Complexity-Bounded Motion Estimation for Real-Time Video Encoding.

Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2005