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Jianxun Lian
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2020 – today
- 2024
- [b1]Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie:
Recommender Systems - Frontiers and Practices. Springer 2024, ISBN 978-981-99-8963-8, pp. 1-280 - [j2]Xiran Song, Hong Huang, Jianxun Lian, Hai Jin:
XGCN: a library for large-scale graph neural network recommendations. Frontiers Comput. Sci. 18(3): 183343 (2024) - [c41]Lei Li, Jianxun Lian, Xiao Zhou
, Xing Xie:
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. AAAI 2024: 8670-8678 - [c40]Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie:
Aligning Large Language Models for Controllable Recommendations. ACL (1) 2024: 8159-8172 - [c39]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. ICML 2024 - [c38]Yuxuan Lei
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD 2024: 1530-1541 - [c37]Tianfu Wang
COMET: NFT Price Prediction with Wallet Profiling. KDD 2024: 5893-5904 - [c36]Yuxuan Lei
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) 2024: 935-938 - [c35]Jianxun Lian
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) 2024: 1031-1034 - [c34]Zheng Liu
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - [c33]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: 3129-3138 - [i31]Lei Li, Jianxun Lian, Xiao Zhou
Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR abs/2401.06633 (2024) - [i30]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR abs/2402.18899 (2024) - [i29]Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang
GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR abs/2403.04483 (2024) - [i28]Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie:
Aligning Large Language Models for Controllable Recommendations. CoRR abs/2403.05063 (2024) - [i27]Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie:
RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR abs/2403.06465 (2024) - [i26]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 abs/2405.10640 (2024) - 2023
- [c32]Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang
Towards Better Entity Linking with Multi-View Enhanced Distillation. ACL (1) 2023: 9729-9743 - [c31]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 - [c30]Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang:
Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS 2023 - [c29]Xiran Song
xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW 2023: 349-359 - [c28]SeongKu Kang
Distillation from Heterogeneous Models for Top-K Recommendation. WWW 2023: 801-811 - [c27]Yuntao Du
Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW 2023: 3712-3722 - [i25]SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR abs/2303.01130 (2023) - [i24]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 abs/2304.13937 (2023) - [i23]Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang
Towards Better Entity Linking with Multi-View Enhanced Distillation. CoRR abs/2305.17371 (2023) - [i22]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 abs/2307.11760 (2023) - [i21]Hao Wang
ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR abs/2308.02925 (2023) - [i20]Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR abs/2308.16505 (2023) - [i19]Xu Huang, Jianxun Lian, Hao Wang
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR abs/2310.13260 (2023) - [i18]Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie:
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR abs/2311.10779 (2023) - [i17]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR abs/2311.10947 (2023) - [i16]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 abs/2312.11111 (2023) - 2022
- [j1]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): 166614 (2022) - [c26]Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM 2022: 2806-2816 - [c25]Ruichao Yang
Reinforcement Subgraph Reasoning for Fake News Detection. KDD 2022: 2253-2262 - [c24]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: 3713-3721 - [c23]Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie:
Friend Recommendations with Self-Rescaling Graph Neural Networks. KDD 2022: 3909-3919 - [c22]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c21]Zihan Luo
Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. WSDM 2022: 638-647 - [c20]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: 947-956 - [i15]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 abs/2202.13802 (2022) - [i14]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR abs/2205.10775 (2022) - [i13]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i12]Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie:
Geometric Interaction Augmented Graph Collaborative Filtering. CoRR abs/2208.01250 (2022) - 2021
- [c19]Danyang Liu, Jianxun Lian, Zheng Liu
Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD 2021: 1055-1065 - [c18]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c17]Xinyan Fan, Zheng Liu
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR 2021: 1733-1737 - [i11]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 abs/2102.09211 (2021) - [i10]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 abs/2104.10925 (2021) - [i9]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 abs/2110.09905 (2021) - 2020
- [c16]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: 3597-3606 - [c15]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: 1939-1944 - [c14]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: 3519-3520 - [c13]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: 200-209 - [c12]Zheng Liu
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020: 289-298 - [c11]Defu Lian
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [i8]Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen
Graph Convolution Machine for Context-aware Recommender System. CoRR abs/2001.11402 (2020) - [i7]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 abs/2010.01494 (2020) - [i6]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020)
2010 – 2019
- 2019
- [c10]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: 1-7 - [c9]Fengli Xu, Jianxun Lian, Zhenyu Han
Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. CIKM 2019: 529-538 - [c8]Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. IJCAI 2019: 4213-4219 - [c7]Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. IJCAI 2019: 4454-4460 - [i5]Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie:
Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. CoRR abs/1906.09882 (2019) - [i4]Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie:
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR abs/1907.06323 (2019) - [i3]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 abs/1910.11494 (2019) - 2018
- [c6]Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun:
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. IJCAI 2018: 3805-3811 - [c5]Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. KDD 2018: 1754-1763 - [i2]Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun:
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. CoRR abs/1803.05170 (2018) - 2017
- [c4]Jianxun Lian, Fuzheng Zhang, Xing Xie
A Multifaceted Model for Cross Domain Recommendation Systems. KSEM 2017: 322-333 - [c3]Jianxun Lian, Fuzheng Zhang, Xing Xie
CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems. WWW (Companion Volume) 2017: 817-818 - [c2]Jianxun Lian, Fuzheng Zhang, Xing Xie
Restaurant Survival Analysis with Heterogeneous Information. WWW (Companion Volume) 2017: 993-1002 - 2016
- [i1]Jianxun Lian, Xing Xie:
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup. CoRR abs/1610.03928 (2016) - 2015
- [c1]Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang:
Content-Based Collaborative Filtering for News Topic Recommendation. AAAI 2015: 217-223
Coauthor Index
[c41] [c39] [c38] [c36] [c35] [c33] [i31] [i30] [i29] [i27] [c31] [c29] [c28] [c27] [i25] [i24] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j1] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i15] [i14] [i13] [i12] [c19] [c18] [c17] [i11] [i10] [i9] [c16] [c15] [c13] [c12] [c11] [i8] [i7] [i6] [c10] [c9] [c8] [c7] [i5] [i4] [i3] [c6] [c5] [i2] [c4] [c3] [c2] [i1] [c1]
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last updated on 2024-11-07 21:33 CET by the dblp team
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