Jianxun Lian

Orcid: 0000-0003-3108-5601

According to our database1, Jianxun Lian authored at least 61 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
XGCN: a library for large-scale graph neural network recommendations.
Frontiers Comput. Sci., June, 2024

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability.
CoRR, 2024

Information Retrieval Meets Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Aligning Language Models for Versatile Text-based Item Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
Proceedings of the ACM on Web Conference 2024, 2024

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

COMET: NFT Price Prediction with Wallet Profiling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Aligning Large Language Models for Controllable Recommendations.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Recommender Systems - Frontiers and Practices
Springer, ISBN: 978-981-99-8963-8, 2024

2023
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR, 2023

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.
CoRR, 2023

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR, 2023

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR, 2023

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.
CoRR, 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
CoRR, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Distillation from Heterogeneous Models for Top-K Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.
Proceedings of the ACM Web Conference 2023, 2023

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci., 2022

Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR, 2022

Negative Sampling for Contrastive Representation Learning: A Review.
CoRR, 2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings.
CoRR, 2022

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Reinforcement Subgraph Reasoning for Fake News Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Friend Recommendations with Self-Rescaling Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.
CoRR, 2021

Self-supervised Graph Learning for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020

LightRec: A Memory and Search-Efficient Recommender System.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

KRED: Knowledge-Aware Document Representation for News Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

In Search for a Cure: Recommendation With Knowledge Graph on CORD-19.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MIND: A Large-scale Dataset for News Recommendation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations.
CoRR, 2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR, 2019

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

News Graph: An Enhanced Knowledge Graph for News Recommendation.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

2018
xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Restaurant Survival Analysis with Heterogeneous Information.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

A Multifaceted Model for Cross Domain Recommendation Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2017

2016
Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup.
CoRR, 2016

2015
Content-Based Collaborative Filtering for News Topic Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015


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