Linjian Mo

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 29

Top Topics

Multitask Learning

Recommendation Systems

Online Advertising

Top Venues

Publications

Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo
Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) (2024)
Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR (2024)
Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
GATS: Generative Audience Targeting System for Online Advertising. SIGIR (2024)
Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR (2024)
Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR (2024)
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, Chenliang Li, Fajie Yuan
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR (2024)
Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo
REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. AAAI (2023)
Yin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo
BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. SIGIR (2023)
Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CIKM (2023)
Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo
DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. SIGIR (2023)
Yecheng Liu, Xu Chen, Yongxin Xu, Dong Xiang, Linjian Mo
Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network. ITSC (2023)
Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CoRR (2023)
Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo
Model-Based Reinforcement Learning for Auto-bidding in Display Advertising. AAMAS (2023)
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
C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR (2023)
Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo
DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM (2023)
Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. ACM Trans. Knowl. Discov. Data 17 (8) (2023)
Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo
CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. CIKM (2022)
Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CIKM (2022)
Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo
Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM (2022)
Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo
A Non-sequential Approach to Deep User Interest Model for CTR Prediction. SDM (2022)
Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo
GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. CIKM (2022)
Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) (2022)
Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo
Multi-interest Sequence Modeling for Recommendation with Causal Embedding. SDM (2022)
Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo
An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR (2022)
Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. CIKM (2022)
Hai Li, Xin Dong, Lei Cheng, Linjian Mo
A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. CIKM (2022)
Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR (2021)
Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR (2021)
Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo
A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction. CoRR (2021)
Yi Liu, Jiajun Bu, Chun Chen, Linjian Mo, Kewei He
Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC. ICIP (4) (2007)
Linjian Mo, Jiajun Bu, Chun Chen, Zhi Yang, Yi Liu
Complexity Reduction of Multi-frame Motion Estimation in H.264. MMM (1) (2007)
Jiajun Bu, Linjian Mo, Genfu Shao, Zhi Yang, Chun Chen
A Novel Fast Error-resilient Video Coding Scheme for H.264. MMSP (2006)
Jiajun Bu, Linjian Mo, Chun Chen, Zhi Yang, Mingli Song
Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder. ICIP (2006)
Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo, Kangmiao Liu
Multiple Description Coding Using Adaptive Error Recovery for Real-Time Video Transmission. PCM (2006)
Linjian Mo, Chun Chen, Jiajun Bu, Xu Li, Zhi Yang
Rate Control Scheme for Video Coding Using Low-Memory-Cost Look-Up Table. PSIVT (2006)
Linjian Mo, Haixiang Zhang, Jiajun Bu, Chun Chen
Speed Optimization of a MPEG-4 Software Decoder Based on ARM Family Cores. ICIAR (2005)
Chun Chen, Linjian Mo, Jiajun Bu, Shuiyong Lou, Zhi Yang
A novel fast predictive mode decision algorithm for H.264. ISSPA (2005)
Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo
Configurable Complexity-Bounded Motion Estimation for Real-Time Video Encoding. ACIVS (2005)