Configurable Complexity-Bounded Motion Estimation for Real-Time Video Encoding. - Zhi Yang; Jiajun Bu; Chun Chen 001; Linjian Mo (ACIVS, 2005)

Speed Optimization of a MPEG-4 Software Decoder Based on ARM Family Cores. - Linjian Mo; Haixiang Zhang; Jiajun Bu; Chun Chen 001 (ICIAR, 2005)

A novel fast predictive mode decision algorithm for H.264. - Chun Chen 001; Linjian Mo; Jiajun Bu; Shuiyong Lou; Zhi Yang (ISSPA, 2005)

Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder. - Jiajun Bu; Linjian Mo; Chun Chen 001; Zhi Yang; Mingli Song (ICIP, 2006)

A Novel Fast Error-resilient Video Coding Scheme for H.264. - Jiajun Bu; Linjian Mo; Genfu Shao; Zhi Yang; Chun Chen 001 (MMSP, 2006)

Multiple Description Coding Using Adaptive Error Recovery for Real-Time Video Transmission. - Zhi Yang; Jiajun Bu; Chun Chen 001; Linjian Mo; Kangmiao Liu (PCM, 2006)

Rate Control Scheme for Video Coding Using Low-Memory-Cost Look-Up Table. - Linjian Mo; Chun Chen 001; Jiajun Bu; Xu Li; Zhi Yang (PSIVT, 2006)

Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC. - Yi Liu; Jiajun Bu; Chun Chen 001; Linjian Mo; Kewei He (ICIP (4), 2007)

Complexity Reduction of Multi-frame Motion Estimation in H.264. - Linjian Mo; Jiajun Bu; Chun Chen 001; Zhi Yang; Yi Liu (MMM (1), 2007)

MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. - Ke Ding; Xin Dong 012; Yong He 009; Lei Cheng 005; Chilin Fu; Zhaoxin Huan; Hai Li; Tan Yan; Liang Zhang; Xiaolu Zhang; Linjian Mo (SIGIR, 2021)

Learning to Select Instance: Simultaneous Transfer Learning and Clustering. - Zhaoxin Huan; Yulong Wang; Yong He 009; Xiaolu Zhang; Chilin Fu; Weichang Wu; Jun Zhou 011; Ke Ding; Liang Zhang; Linjian Mo (SIGIR, 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)

CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. - Zhongde Chen; Ruize Wu; Cong Jiang; Honghui Li; Xin Dong 012; Can Long; Yong He 009; Lei Cheng 005; Linjian Mo (CIKM, 2022)

GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. - Ke Ding; Yong He 009; Xin Dong 012; Jieyu Yang; Liang Zhang; Ang Li; Xiaolu Zhang; Linjian Mo (CIKM, 2022)

GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. - Xin Dong 012; Ruize Wu; Chao Xiong; Hai Li; Lei Cheng 005; Yong He 009; Shiyou Qian; Jian Cao 001; Linjian Mo (CIKM, 2022)

MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. - Xin Dong 012; Ruize Wu; Chao Xiong; Hai Li; Lei Cheng 005; Yong He 009; Shiyou Qian; Jian Cao 001; Linjian Mo (CIKM, 2022)

A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. - Hai Li; Xin Dong 012; Lei Cheng 005; Linjian Mo (CIKM, 2022)

Task Similarity Aware Meta Learning for Cold-Start Recommendation. - Jieyu Yang; Zhaoxin Huan; Yong He 009; Ke Ding; Liang Zhang; Xiaolu Zhang; Jun Zhou 011; Linjian Mo (CIKM, 2022)

Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. - Binbin Hu; Bin Shen; Ruize Wu; Zhiqiang Zhang 012; Yuetian Cao; Yong He 009; Liang Zhang; Linjian Mo; Jun Zhou 011 (PRICAI (3), 2022)

Multi-interest Sequence Modeling for Recommendation with Causal Embedding. - Caiqi Sun; Penghao Lu; Lei Cheng 005; Zhenfu Cao; Xiaolei Dong; Yili Tang; Jun Zhou 018; Linjian Mo (SDM, 2022)

A Non-sequential Approach to Deep User Interest Model for CTR Prediction. - Keke Zhao; Xing Zhao; Qi Cao; Linjian Mo (SDM, 2022)

An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. - Zhaoxin Huan; Gongduo Zhang; Xiaolu Zhang; Jun Zhou 011; Qintong Wu; Lihong Gu; Jinjie Gu; Yong He 009; Yue Zhu; Linjian Mo (SIGIR, 2022)

REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. - Caiqi Sun; Jiewei Gu; Binbin Hu; Xin Dong 012; Hai Li; Lei Cheng 005; Linjian Mo (AAAI, 2023)

Model-Based Reinforcement Learning for Auto-bidding in Display Advertising. - Shuang Chen; Qisen Xu; Liang Zhang; Yongbo Jin; Wenhao Li 001; Linjian Mo (AAMAS, 2023)

MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. - Wenzhuo Cheng; Ke Ding; Xin Dong 012; Yong He 009; Liang Zhang; Linjian Mo (CIKM, 2023)

DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. - Bin Shen; Jingran Xu; Xu Min; Zeyu Ke; Yong He 009; Liang Zhang; Xin Dong 012; Linjian Mo (CIKM, 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 (ITSC, 2023)

BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. - Yin Deng; Yingxin Chen; Xin Dong 012; Lingchao Pan; Hai Li; Lei Cheng 005; Linjian Mo (SIGIR, 2023)

DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. - Jieyu Yang; Liang Zhang; Yong He 009; Ke Ding; Zhaoxin Huan; Xiaolu Zhang; Linjian Mo (SIGIR, 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 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (CoRR, 2023)

SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. - Bohan Jia; Jian Cao 001; Shiyou Qian; Nengjun Zhu; Xin Dong 012; Liang Zhang; Lei Cheng 005; Linjian Mo (ACM Trans. Knowl. Discov. Data, 2023)

MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. - Guanghu Yuan; Jieyu Yang; Shujie Li 001; Mingjie Zhong; Ang Li; Ke Ding; Yong He 009; Min Yang 007; Liang Zhang; Xiaolu Zhang; Linjian Mo (CIKM, 2024)

Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. - Binzong Geng; Zhaoxin Huan; Xiaolu Zhang; Yong He 009; Liang Zhang; Fajie Yuan; Jun Zhou 011; Linjian Mo (SIGIR, 2024)

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. - Zhaoxin Huan; Ke Ding; Ang Li; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (SIGIR, 2024)

GATS: Generative Audience Targeting System for Online Advertising. - Cong Jiang; Zhongde Chen; Bo Zhang 010; Yankun Ren; Xin Dong 012; Lei Cheng 005; Xinxing Yang; Longfei Li; Jun Zhou 011; Linjian Mo (SIGIR, 2024)

Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. - Yankun Ren; Zhongde Chen; Xinxing Yang; Longfei Li; Cong Jiang; Lei Cheng 005; Bo Zhang 010; Linjian Mo; Jun Zhou 011 (SIGIR, 2024)

Aligned Side Information Fusion Method for Sequential Recommendation. - Shuhan Wang; Bin Shen; Xu Min; Yong He 009; Xiaolu Zhang; Liang Zhang; Jun Zhou 011; Linjian Mo (WWW (Companion Volume), 2024)

DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. - Penghao Lu; Xin Dong 012; Yuansheng Zhou; Lei Cheng 005; Chuan Yuan; Linjian Mo (AAAI, 2025)

CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. - Kaixin Wu; Yixin Ji; Zeyuan Chen; Qiang Wang; Cunxiang Wang; Hong Liu; Baijun Ji; Jia Xu 013; Zhongyi Liu; Jinjie Gu; Yuan Zhou; Linjian Mo (NAACL (Industry Track), 2025)

Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. - Yedan Shen; Kaixin Wu; Yuechen Ding; Jingyuan Wen; Hong Liu; Mingjie Zhong; Zhouhan Lin; Jia Xu 013; Linjian Mo (SIGIR, 2025)

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System. - Chao Xiong; Xianwen Yu; Wei Xu; Lei Cheng 005; Chuan Yuan; Linjian Mo (SIGIR, 2025)

MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search. - Qi Zheng; Mingjie Zhong; Saisai Gong; Huimin Jiang; Kaixin Wu; Hong Liu; Jia Xu 013; Linjian Mo (SIGIR, 2025)

Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models. - Xiyu Chang; Liang Zhang; Yong He 009; Binzong Geng; Ke Ding; Xing Zhu; Jian Cao 001; Linjian Mo (WWW (Companion Volume), 2025)

EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. - Zhaorui Lian; Binzong Geng; Xiyu Chang; Yu Zhang; Ke Ding; Ziyu Lyu; Guanghu Yuan; Chengming Li; Min Yang 007; Zhaoxin Huan; Bin Shen; Yong He 009; et al. (WWW (Companion Volume), 2025)

Test-time Computing: from System-1 Thinking to System-2 Thinking. - Yixin Ji; Juntao Li; Hai Ye; Kaixin Wu; Jia Xu 013; Linjian Mo; Min Zhang 005 (CoRR, 2025)

CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction. - Zixuan Li; Binzong Geng; Jing Xiong; Yong He 009; Yuxuan Hu; Jian Chen; Dingwei Chen; Xiyu Chang; Liang Zhang; Linjian Mo; Chengming Li; Chuan Yuan; et al. (CoRR, 2025)

MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark. - Shiqing Fan; Xichen Ding; Liang Zhang; Linjian Mo (CoRR, 2025)