Jianxun Lian

Senior Researcher

Papiers de Collaboration

Afficher par:

- Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
  
  Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
  
  ACL 2025 | July 2025
  
  Publication
- SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
  
  Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
  
  ACL 2025 | July 2025
  
  Publication
- The Good, The Bad, and Why: Unveiling Emotions in Generative AI
  
  Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
  
  ICML 2024 | December 2023
  
  DOI Publication Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Distillation from Heterogeneous Models for Top-K Recommendation
  
  SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
  
  The Web Conference 2023 | April 2023
  
  Publication
- Towards Explainable Collaborative Filtering with Taste Clusters Learning
  
  Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
  
  the Web Conference 2023 | April 2023
  
  Publication
- xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
  
  Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
  
  The Web Conference 2023 | April 2023
  
  Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Friend Recommendations with Self-Rescaling Graph Neural Networks
  
  Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
  
  KDD 2022 | August 2022
  
  Publication
- Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
  
  Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
  
  SIGIR 2022 | July 2022
  
  Publication
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
  
  KDD 2022 | June 2022
  
  Publication
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
  
  PDF
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
  
  Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
  
  WSDM 2022 | February 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
  
  Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- MIND: A Large-scale Dataset for News Recommendation
  
  Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication Télécharger
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication

- SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
  
  Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
  
  ACL 2025 | July 2025
  
  Publication
- Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
  
  Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
  
  ACL 2025 | July 2025
  
  Publication
- The Good, The Bad, and Why: Unveiling Emotions in Generative AI
  
  Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
  
  ICML 2024 | December 2023
  
  DOI Publication Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
  
  PDF
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
  
  Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
  
  WSDM 2022 | February 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
  
  Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- MIND: A Large-scale Dataset for News Recommendation
  
  Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication Télécharger
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Distillation from Heterogeneous Models for Top-K Recommendation
  
  SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
  
  The Web Conference 2023 | April 2023
  
  Publication
- Towards Explainable Collaborative Filtering with Taste Clusters Learning
  
  Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
  
  the Web Conference 2023 | April 2023
  
  Publication
- xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
  
  Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
  
  The Web Conference 2023 | April 2023
  
  Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Friend Recommendations with Self-Rescaling Graph Neural Networks
  
  Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
  
  KDD 2022 | August 2022
  
  Publication
- Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
  
  Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
  
  SIGIR 2022 | July 2022
  
  Publication
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
  
  KDD 2022 | June 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
  
  Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication
- MIND: A Large-scale Dataset for News Recommendation
  
  Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication Télécharger
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication

- SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
  
  Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
  
  ACL 2025 | July 2025
  
  Publication
- Pretraining Context Compressor for Large Language Models with Embedding-Based Memory
  
  Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
  
  ACL 2025 | July 2025
  
  Publication
- The Good, The Bad, and Why: Unveiling Emotions in Generative AI
  
  Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
  
  ICML 2024 | December 2023
  
  DOI Publication Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Distillation from Heterogeneous Models for Top-K Recommendation
  
  SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
  
  The Web Conference 2023 | April 2023
  
  Publication
- Towards Explainable Collaborative Filtering with Taste Clusters Learning
  
  Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
  
  the Web Conference 2023 | April 2023
  
  Publication
- xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction
  
  Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
  
  The Web Conference 2023 | April 2023
  
  Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Friend Recommendations with Self-Rescaling Graph Neural Networks
  
  Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
  
  KDD 2022 | August 2022
  
  Publication
- Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
  
  Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
  
  SIGIR 2022 | July 2022
  
  Publication
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
  
  KDD 2022 | June 2022
  
  Publication
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
  
  PDF
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations
  
  Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
  
  WSDM 2022 | February 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
  
  Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- MIND: A Large-scale Dataset for News Recommendation
  
  Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication Télécharger
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication