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Linjian Mo
ORCID
Publication Activity (10 Years)
Years Active: 2005-2024
Publications (10 Years): 29
Top Topics
Multitask Learning
Fusion Method
Recommendation Systems
Online Advertising
Top Venues
SIGIR
CIKM
CoRR
SDM
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Publications
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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)