Linjian Mo - RankMe

56 papers A* 14A 13B 2C 2Journal 14Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CoRR Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
2026	J	`jnl`	MiniAppBench: Evaluating the Shift from Text to Interactive HTML Responses in LLM-Powered Assistants. CoRR Zuhao Zhang, Chengyue Yu, Yuante Li, Chenyi Zhuang, Linjian Mo, Shuai Li
2025	A*	`conf`	A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System. SIGIR Chao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo
2025	J	`jnl`	A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System. CoRR Chao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo
2025	A*	`conf`	Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. SIGIR Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo
2025	J	`jnl`	Alleviating LLM-based Generative Retrieval Hallucination in Alipay Search. CoRR Yedan Shen, Kaixin Wu, Yuechen Ding, Jingyuan Wen, Hong Liu, Mingjie Zhong, Zhouhan Lin, Jia Xu, Linjian Mo
2025	—	`conf`	CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. NAACL (Industry Track) Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2025	J	`jnl`	CTR-Sink: Attention Sink for Language Models in Click-Through Rate Prediction. CoRR Zixuan Li, Binzong Geng, Jing Xiong, Yong He, Yuxuan Hu, Jian Chen, Dingwei Chen, Xiyu Chang, Liang Zhang, Linjian Mo, Chengming Li, Chuan Yuan, Zhenan Sun
2025	A*	`conf`	DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. AAAI Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo
2025	J	`jnl`	DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. CoRR Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo
2025	—	`conf`	EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. WWW (Companion Volume) Zhaorui Lian, Binzong Geng, Xiyu Chang, Yu Zhang, Ke Ding, Ziyu Lyu, Guanghu Yuan, Chengming Li, Min Yang, Zhaoxin Huan, Bin Shen, Yong He, Linjian Mo, Liang Zhang, Xing Zhu
2025	A*	`conf`	MAAQR: An LLM-based Multi-Agent Framework for Adaptive Query Rewriting in Alipay Search. SIGIR Qi Zheng, Mingjie Zhong, Saisai Gong, Huimin Jiang, Kaixin Wu, Hong Liu, Jia Xu, Linjian Mo
2025	J	`jnl`	MCPToolBench++: A Large Scale AI Agent Model Context Protocol MCP Tool Use Benchmark. CoRR Shiqing Fan, Xichen Ding, Liang Zhang, Linjian Mo
2025	A	`conf`	Multi-Task Learning through Hierarchical Information Sharing and Transfer. CIKM Yufan Mao, Jingran Xu, Liang Zhang, Xiyue Hou, Yongbo Jin, Yingming Li, Linjian Mo
2025	—	`conf`	Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models. WWW (Companion Volume) Xiyu Chang, Liang Zhang, Yong He, Binzong Geng, Ke Ding, Xing Zhu, Jian Cao, Linjian Mo
2025	J	`jnl`	Test-time Computing: from System-1 Thinking to System-2 Thinking. CoRR Yixin Ji, Juntao Li, Hai Ye, Kaixin Wu, Jia Xu, Linjian Mo, Min Zhang
2024	—	`conf`	Aligned Side Information Fusion Method for Sequential Recommendation. WWW (Companion Volume) Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo
2024	A*	`conf`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. SIGIR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	J	`jnl`	Breaking the Length Barrier: LLM-Enhanced CTR Prediction in Long Textual User Behaviors. CoRR Binzong Geng, Zhaoxin Huan, Xiaolu Zhang, Yong He, Liang Zhang, Fajie Yuan, Jun Zhou, Linjian Mo
2024	J	`jnl`	CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search. CoRR Kaixin Wu, Yixin Ji, Zeyuan Chen, Qiang Wang, Cunxiang Wang, Hong Liu, Baijun Ji, Jia Xu, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo
2024	A*	`conf`	Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. SIGIR Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 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
2024	A*	`conf`	GATS: Generative Audience Targeting System for Online Advertising. SIGIR Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo
2024	A	`conf`	MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. CIKM Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo
2023	—	`conf`	Accelerating Model Solving for Integrated Optimization of Timetabling and Vehicle Scheduling based on Graph Convolutional Network. ITSC Yecheng Liu, Xu Chen, Yongxin Xu, Dong Xiang, Linjian Mo
2023	J	`jnl`	AntM CoRR 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
2023	A*	`conf`	BKD: A Bridge-based Knowledge Distillation Method for Click-Through Rate Prediction. SIGIR Yin Deng, Yingxin Chen, Xin Dong, Lingchao Pan, Hai Li, Lei Cheng, Linjian Mo
2023	A	`conf`	DAE: Distribution-Aware Embedding for Numerical Features in Click-Through Rate Prediction. CIKM Bin Shen, Jingran Xu, Xu Min, Zeyu Ke, Yong He, Liang Zhang, Xin Dong, Linjian Mo
2023	A*	`conf`	DCBT: A Simple But Effective Way for Unified Warm and Cold Recommendation. SIGIR Jieyu Yang, Liang Zhang, Yong He, Ke Ding, Zhaoxin Huan, Xiaolu Zhang, Linjian Mo
2023	J	`jnl`	GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CoRR Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2023	A	`conf`	MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CIKM Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
2023	A	`conf`	Model-Based Reinforcement Learning for Auto-bidding in Display Advertising. AAMAS Shuang Chen, Qisen Xu, Liang Zhang, Yongbo Jin, Wenhao Li, Linjian Mo
2023	A*	`conf`	REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. AAAI Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo
2023	J	`jnl`	SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions. ACM Trans. Knowl. Discov. Data Bohan Jia, Jian Cao, Shiyou Qian, Nengjun Zhu, Xin Dong, Liang Zhang, Lei Cheng, Linjian Mo
2022	A	`conf`	A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. CIKM Hai Li, Xin Dong, Lei Cheng, Linjian Mo
2022	A	`conf`	A Non-sequential Approach to Deep User Interest Model for CTR Prediction. SDM Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo
2022	A*	`conf`	An Industrial Framework for Cold-Start Recommendation in Zero-Shot Scenarios. SIGIR Zhaoxin Huan, Gongduo Zhang, Xiaolu Zhang, Jun Zhou, Qintong Wu, Lihong Gu, Jinjie Gu, Yong He, Yue Zhu, Linjian Mo
2022	A	`conf`	CFS-MTL: A Causal Feature Selection Mechanism for Multi-task Learning via Pseudo-intervention. CIKM Zhongde Chen, Ruize Wu, Cong Jiang, Honghui Li, Xin Dong, Can Long, Yong He, Lei Cheng, Linjian Mo
2022	A	`conf`	GDOD: Effective Gradient Descent using Orthogonal Decomposition for Multi-Task Learning. CIKM Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2022	A	`conf`	GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. CIKM Ke Ding, Yong He, Xin Dong, Jieyu Yang, Liang Zhang, Ang Li, Xiaolu Zhang, Linjian Mo
2022	A	`conf`	MASR: A Model-Agnostic Sparse Routing Architecture for Arbitrary Order Feature Sharing in Multi-Task Learning. CIKM Xin Dong, Ruize Wu, Chao Xiong, Hai Li, Lei Cheng, Yong He, Shiyou Qian, Jian Cao, Linjian Mo
2022	—	`conf`	Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
2022	A	`conf`	Multi-interest Sequence Modeling for Recommendation with Causal Embedding. SDM Caiqi Sun, Penghao Lu, Lei Cheng, Zhenfu Cao, Xiaolei Dong, Yili Tang, Jun Zhou, Linjian Mo
2022	A	`conf`	Task Similarity Aware Meta Learning for Cold-Start Recommendation. CIKM Jieyu Yang, Zhaoxin Huan, Yong He, Ke Ding, Liang Zhang, Xiaolu Zhang, Jun Zhou, Linjian Mo
2021	J	`jnl`	A Non-sequential Approach to Deep User Interest Model for Click-Through Rate Prediction. CoRR Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo
2021	A*	`conf`	Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo
2021	A*	`conf`	MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo
2007	—	`conf`	Complexity Reduction of Multi-frame Motion Estimation in H.264. MMM (1) Linjian Mo, Jiajun Bu, Chun Chen, Zhi Yang, Yi Liu
2007	—	`conf`	Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC. ICIP (4) Yi Liu, Jiajun Bu, Chun Chen, Linjian Mo, Kewei He
2006	C	`conf`	A Novel Fast Error-resilient Video Coding Scheme for H.264. MMSP Jiajun Bu, Linjian Mo, Genfu Shao, Zhi Yang, Chun Chen
2006	—	`conf`	Multiple Description Coding Using Adaptive Error Recovery for Real-Time Video Transmission. PCM Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo, Kangmiao Liu
2006	B	`conf`	Multiple-Reference-Frame Based Fast Motion Estimation & Mode Decision for H.263-to-H.264 Transcoder. ICIP Jiajun Bu, Linjian Mo, Chun Chen, Zhi Yang, Mingli Song
2006	C	`conf`	Rate Control Scheme for Video Coding Using Low-Memory-Cost Look-Up Table. PSIVT Linjian Mo, Chun Chen, Jiajun Bu, Xu Li, Zhi Yang
2005	—	`conf`	A novel fast predictive mode decision algorithm for H.264. ISSPA Chun Chen, Linjian Mo, Jiajun Bu, Shuiyong Lou, Zhi Yang
2005	B	`conf`	Configurable Complexity-Bounded Motion Estimation for Real-Time Video Encoding. ACIVS Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo
2005	—	`conf`	Speed Optimization of a MPEG-4 Software Decoder Based on ARM Family Cores. ICIAR Linjian Mo, Haixiang Zhang, Jiajun Bu, Chun Chen