Jianxun Lian

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 72

Top Topics

Link Prediction

News Recommendation

Graph Embedding

Top Venues

WWW (Companion Volume)

Publications

Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR (2024)
Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
COMET: NFT Price Prediction with Wallet Profiling. KDD (2024)
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) (2024)
Xiran Song, Hong Huang, Jianxun Lian, Hai Jin
XGCN: a library for large-scale graph neural network recommendations. Frontiers Comput. Sci. 18 (3) (2024)
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
Aligning Large Language Models for Controllable Recommendations. ACL (1) (2024)
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD (2024)
Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
COMET: NFT Price Prediction with Wallet Profiling. CoRR (2024)
Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
Aligning Large Language Models for Controllable Recommendations. CoRR (2024)
Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie, Hai Jin
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR (2024)
Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) (2024)
Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW (2024)
Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR (2024)
Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
Information Retrieval Meets Large Language Models. WWW (Companion Volume) (2024)
Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. AAAI (2024)
Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR (2024)
Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS (2023)
Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR (2023)
Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. NeurIPS (2023)
Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR (2023)
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR (2023)
Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR (2023)
Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR (2023)
SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
Distillation from Heterogeneous Models for Top-K Recommendation. WWW (2023)
Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR (2023)
Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie
EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. CoRR (2023)
Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang
Towards Better Entity Linking with Multi-View Enhanced Distillation. ACL (1) (2023)
Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
Towards Better Entity Linking with Multi-View Enhanced Distillation. CoRR (2023)
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW (2023)
Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW (2023)
Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
Towards Explainable Collaborative Filtering with Taste Clusters Learning. CoRR (2023)
Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR (2023)
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. 16 (6) (2022)
Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen
Negative Sampling for Contrastive Representation Learning: A Review. CoRR (2022)
Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. WSDM (2022)
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR (2022)
Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. KDD (2022)
Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
Friend Recommendations with Self-Rescaling Graph Neural Networks. KDD (2022)
Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
Reinforcement Subgraph Reasoning for Fake News Detection. KDD (2022)
Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. WSDM (2022)
Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR (2022)
Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR (2022)
Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM (2022)
Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR (2022)
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR (2021)
Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD (2021)
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
Self-supervised Graph Learning for Recommendation. SIGIR (2021)
Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie
Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR (2021)
Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR (2021)
Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. CoRR (2021)
Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
MIND: A Large-scale Dataset for News Recommendation. ACL (2020)
Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang
Graph Convolution Machine for Context-aware Recommender System. CoRR (2020)
Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
Self-supervised Graph Learning for Recommendation. CoRR (2020)
Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR (2020)
Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel González-Fierro, Andreas Argyriou, Tao Wu
In Search for a Cure: Recommendation With Knowledge Graph on CORD-19. KDD (2020)
Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
LightRec: A Memory and Search-Efficient Recommender System. WWW (2020)
Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR (2020)
Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) (2020)
Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
KRED: Knowledge-Aware Document Representation for News Recommendations. RecSys (2020)
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. CoRR (2019)
Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. IJCAI (2019)
Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie
News Graph: An Enhanced Knowledge Graph for News Recommendation. KaRS@CIKM (2019)
Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. IJCAI (2019)
Danyang Liu, Jianxun Lian, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations. CoRR (2019)
Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. CIKM (2019)
Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR (2019)
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. KDD (2018)
Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. CoRR (2018)
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. IJCAI (2018)
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
A Multifaceted Model for Cross Domain Recommendation Systems. KSEM (2017)
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems. WWW (Companion Volume) (2017)
Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
Restaurant Survival Analysis with Heterogeneous Information. WWW (Companion Volume) (2017)
Jianxun Lian, Xing Xie
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup. CoRR (2016)
Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
Content-Based Collaborative Filtering for News Topic Recommendation. AAAI (2015)