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Jianxun Lian

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

55

Venues

13

Active years

2015–2026

Best venue rank

A*

Where they publish

Papers

55 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLDoes Theory of Mind Improvement Really Benefit Human-AI Interactions? Empirical Findings from Interactive Evaluations.Nanxu Gong, Zixin Chen, Haotian Li, Zishu Zhao, Jianxun Lian, Huamin Qu, Yanjie Fu, Xing Xie
2026ACLEliminating Out-of-Domain Recommendations in LLM-based Recommender Systems: A Unified View.Hao Liao, Jiwei Zhang, Jianxun Lian, Wensheng Lu, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Mingyang Zhou, Rui Mao
2026ACLCan AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark.Zihan Luo, Hong Huang, Jianxun Lian, Yu Chang, Xing Xie, Hai Jin
2026ACLKnowing-but-Doing: Diagnosing and Defending Role-Play-Driven LLMs Jailbreaks via Moral Disengagement.Haiming Qin, Jianxun Lian, Qimin Zhong, Mingyang Zhou, Hao Liao, Naipeng Chao
2026ACLPersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models.Wenlong Shi, Jianxun Lian, Mingqi Wu, Haiming Qin, Mingyang Zhou, Xing Xie, Naipeng Chao, Hao Liao
2026ACLReasoning-Aware AIGC Detection via Alignment and Reinforcement.Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou
2026KDDHumanLLM: Towards Personalized Understanding and Simulation of Human Nature.Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2025ACLPretraining 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
2025ACLSocialCC: Interactive Evaluation for Cultural Competence in Language Agents.Jincenzi Wu, Jianxun Lian, Dingdong Wang, Helen M. Meng
2025ACLMotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models?Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou, Xing Xie
2025EMNLPExplaining Length Bias in LLM-Based Preference Evaluations.Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong
2025EMNLPHierarchical Reward Modeling for Fault Localization in Large Code Repositories.Jiwei Zhang, Jianxun Lian, Haiming Qin, Mingyang Zhou, Kezhong Lu, Rui Mao, Hao Liao
2025KDDTowards Controllable Hybrid Fairness in Graph Neural Networks.Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Hai Jin
2025NAACLCharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds.Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen
2025NAACLTrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System.Zeyu Zhang, Jianxun Lian, Chen Ma, Yaning Qu, Ye Luo, Lei Wang, Rui Li, Xu Chen, Yankai Lin, Le Wu, Xing Xie, Ji-Rong Wen
2025WWWLLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System.Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong
2024AAAIAda-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
2024ACLAligning Large Language Models for Controllable Recommendations.Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
2024ICMLThe 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
2024KDDCOMET: NFT Price Prediction with Wallet Profiling.Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
2024KDDRecExplainer: Aligning Large Language Models for Explaining Recommendation Models.Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024WWWA Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024WWWAligning Language Models for Versatile Text-based Item Retrieval.Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024WWWRecAI: Leveraging Large Language Models for Next-Generation Recommender Systems.Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024WWWInformation Retrieval Meets Large Language Models.Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
2023ACLTowards Better Entity Linking with Multi-View Enhanced Distillation.Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang
2023WWWTowards Explainable Collaborative Filtering with Taste Clusters Learning.Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023WWWDistillation from Heterogeneous Models for Top-K Recommendation.SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023WWWxGCN: 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
2022CIKMTiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
2022KDDImproving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
2022KDDFriend Recommendations with Self-Rescaling Graph Neural Networks.Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
2022KDDReinforcement Subgraph Reasoning for Fake News Detection.Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
2022SIGIRAda-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022WSDMAda-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
2022WSDMShow 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
2021KDDReinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
2021SIGIRLighter 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
2021SIGIRSelf-supervised Graph Learning for Recommendation.Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2020ACLMIND: 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
2020EMNLPPTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020KDDIn Search for a Cure: Recommendation With Knowledge Graph on CORD-19.Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel Gonzlez-Fierro, Andreas Argyriou, Tao Wu
2020RecSysKRED: Knowledge-Aware Document Representation for News Recommendations.Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
2020WWWLightRec: A Memory and Search-Efficient Recommender System.Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
2020SIGIROctopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
2019CIKMNews Graph: An Enhanced Knowledge Graph for News Recommendation.Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie
2019CIKMRelation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
2019IJCAIAdaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
2019IJCAICollaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
2018IJCAITowards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2018KDDxDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
2017KSEMA Multifaceted Model for Cross Domain Recommendation Systems.Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017WWWCCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017WWWRestaurant Survival Analysis with Heterogeneous Information.Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2015AAAIContent-Based Collaborative Filtering for News Topic Recommendation.Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang