Linjian Mo
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
13
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | UrbanGeoEval: A City-Scale Benchmark for Evaluating Large Language Models in Geospatial Reasoning. | Mutian Bao, Qiuyi Qi, Tian Liang, Jinjian Zhang, Wei Zhou, Ming Kong, Linjian Mo, Qiang Zhu |
| 2026 | ACL | STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training. | Qiuyi Qi, Tian Liang, Mutian Bao, Jinjian Zhang, Dongnan Liu, Wei Zhou, Linjian Mo, Ming Kong, Jie Liu, Feng Zhang, Qiang Zhu |
| 2026 | ACL | CARL: Constraint-Aware Reinforcement Learning for Planning with LLMs. | Qiuyi Qi, Jinjian Zhang, Mutian Bao, Tian Liang, Guocong Li, Dongnan Liu, Wei Zhou, Jie Liu, Ming Kong, Linjian Mo, Feng Zhang, Qiang Zhu |
| 2025 | AAAI | DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval. | Penghao Lu, Xin Dong, Yuansheng Zhou, Lei Cheng, Chuan Yuan, Linjian Mo |
| 2025 | CIKM | Multi-Task Learning through Hierarchical Information Sharing and Transfer. | Yufan Mao, Jingran Xu, Liang Zhang, Xiyue Hou, Yongbo Jin, Yingming Li, Linjian Mo |
| 2025 | NAACL | 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, Zhongyi Liu, Jinjie Gu, Yuan Zhou, Linjian Mo |
| 2025 | WWW | Singleton CTR Prediction: Towards Single-User Modeling Paradigm with Large Language Models. | Xiyu Chang, Liang Zhang, Yong He, Binzong Geng, Ke Ding, Xing Zhu, Jian Cao, Linjian Mo |
| 2025 | WWW | 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, Zhaoxin Huan, Bin Shen, Yong He, Linjian Mo, Liang Zhang, Xing Zhu |
| 2025 | SIGIR | 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, Linjian Mo |
| 2025 | SIGIR | A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System. | Chao Xiong, Xianwen Yu, Wei Xu, Lei Cheng, Chuan Yuan, Linjian Mo |
| 2025 | SIGIR | 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, Linjian Mo |
| 2024 | CIKM | MMLRec: A Unified Multi-Task and Multi-Scenario Learning Benchmark for Recommendation. | Guanghu Yuan, Jieyu Yang, Shujie Li, Mingjie Zhong, Ang Li, Ke Ding, Yong He, Min Yang, Liang Zhang, Xiaolu Zhang, Linjian Mo |
| 2024 | WWW | Aligned Side Information Fusion Method for Sequential Recommendation. | Shuhan Wang, Bin Shen, Xu Min, Yong He, Xiaolu Zhang, Liang Zhang, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | 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 |
| 2024 | SIGIR | Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. | 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 | SIGIR | GATS: Generative Audience Targeting System for Online Advertising. | Cong Jiang, Zhongde Chen, Bo Zhang, Yankun Ren, Xin Dong, Lei Cheng, Xinxing Yang, Longfei Li, Jun Zhou, Linjian Mo |
| 2024 | SIGIR | Enhancing Sequential Recommenders with Augmented Knowledge from Aligned Large Language Models. | Yankun Ren, Zhongde Chen, Xinxing Yang, Longfei Li, Cong Jiang, Lei Cheng, Bo Zhang, Linjian Mo, Jun Zhou |
| 2023 | AAAI | REMIT: Reinforced Multi-Interest Transfer for Cross-Domain Recommendation. | Caiqi Sun, Jiewei Gu, Binbin Hu, Xin Dong, Hai Li, Lei Cheng, Linjian Mo |
| 2023 | CIKM | 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 |
| 2023 | CIKM | 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 |
| 2023 | SIGIR | 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 |
| 2023 | SIGIR | 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 |
| 2022 | CIKM | 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 |
| 2022 | CIKM | 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 |
| 2022 | CIKM | 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 |
| 2022 | CIKM | 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 |
| 2022 | CIKM | A Hierarchical User Behavior Modeling Framework for Cross-Domain Click-Through Rate Prediction. | Hai Li, Xin Dong, Lei Cheng, Linjian Mo |
| 2022 | CIKM | 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 |
| 2022 | PRICAI | 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 |
| 2022 | SIGIR | 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 |
| 2022 | SDM | 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 |
| 2022 | SDM | A Non-sequential Approach to Deep User Interest Model for CTR Prediction. | Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo |
| 2021 | SIGIR | 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 |
| 2021 | SIGIR | 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 |
| 2007 | ICIP | Multiframe Error Concealment for Whole-Frame Loss in H.264/AVC. | Yi Liu, Jiajun Bu, Chun Chen, Linjian Mo, Kewei He |
| 2007 | MMM | Complexity Reduction of Multi-frame Motion Estimation in H.264. | Linjian Mo, Jiajun Bu, Chun Chen, Zhi Yang, Yi Liu |
| 2006 | ICIP | 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 |
| 2006 | MMSP | A Novel Fast Error-resilient Video Coding Scheme for H.264. | Jiajun Bu, Linjian Mo, Genfu Shao, Zhi Yang, Chun Chen |
| 2006 | PSIVT | Rate Control Scheme for Video Coding Using Low-Memory-Cost Look-Up Table. | Linjian Mo, Chun Chen, Jiajun Bu, Xu Li, Zhi Yang |
| 2005 | ACIVS | Configurable Complexity-Bounded Motion Estimation for Real-Time Video Encoding. | Zhi Yang, Jiajun Bu, Chun Chen, Linjian Mo |