Content-Based Collaborative Filtering for News Topic Recommendation. - Zhongqi Lu; Zhicheng Dou; Jianxun Lian; Xing Xie 001; Qiang Yang 001 (AAAI, 2015)

Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup. - Jianxun Lian; Xing Xie 001 (CoRR, 2016)

A Multifaceted Model for Cross Domain Recommendation Systems. - Jianxun Lian; Fuzheng Zhang; Xing Xie 001; Guangzhong Sun (KSEM, 2017)

CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems. - Jianxun Lian; Fuzheng Zhang; Xing Xie 001; Guangzhong Sun (WWW (Companion Volume), 2017)

Restaurant Survival Analysis with Heterogeneous Information. - Jianxun Lian; Fuzheng Zhang; Xing Xie 001; Guangzhong Sun (WWW (Companion Volume), 2017)

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. - Jianxun Lian; Fuzheng Zhang; Xing Xie 001; Guangzhong Sun (IJCAI, 2018)

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. - Jianxun Lian; Xiaohuan Zhou; Fuzheng Zhang; Zhongxia Chen; Xing Xie 001; Guangzhong Sun (KDD, 2018)

News Graph: An Enhanced Knowledge Graph for News Recommendation. - Danyang Liu; Ting Bai; Jianxun Lian; Xin Zhao 018; Guangzhong Sun; Ji-Rong Wen; Xing Xie 001 (KaRS@CIKM, 2019)

Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. - Fengli Xu; Jianxun Lian; Zhenyu Han; Yong Li 008; Yujian Xu; Xing Xie 001 (CIKM, 2019)

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. - Zeping Yu; Jianxun Lian; Ahmad Mahmoody; Gongshen Liu; Xing Xie 001 (IJCAI, 2019)

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. - Xiao Zhou 005; Danyang Liu; Jianxun Lian; Xing Xie 001 (IJCAI, 2019)

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. - Zheng Liu 011; Yu Xing; Jianxun Lian; Defu Lian; Ziyao Li; Xing Xie 001 (CoRR, 2019)

Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations. - Danyang Liu; Jianxun Lian; Ying Qiao; Jiun-Hung Chen; Guangzhong Sun; Xing Xie 001 (CoRR, 2019)

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 001; Jianfeng Gao 001; Winnie Wu; Ming Zhou 001 (ACL, 2020)

PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. - Chuhan Wu; Fangzhao Wu; Tao Qi; Jianxun Lian; Yongfeng Huang 001; Xing Xie 001 (EMNLP (Findings), 2020)

In Search for a Cure: Recommendation With Knowledge Graph on CORD-19. - Iris Shen; Le Zhang; Jianxun Lian; Chieh-Han Wu; Miguel González-Fierro; Andreas Argyriou; Tao Wu (KDD, 2020)

KRED: Knowledge-Aware Document Representation for News Recommendations. - Danyang Liu; Jianxun Lian; Shiyin Wang; Ying Qiao; Jiun-Hung Chen; Guangzhong Sun; Xing Xie 001 (RecSys, 2020)

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. - Zheng Liu 011; Jianxun Lian; Junhan Yang; Defu Lian; Xing Xie 001 (SIGIR, 2020)

LightRec: A Memory and Search-Efficient Recommender System. - Defu Lian; Haoyu Wang 004; Zheng Liu 011; Jianxun Lian; Enhong Chen; Xing Xie 001 (WWW, 2020)

Graph Convolution Machine for Context-aware Recommender System. - Jiancan Wu; Xiangnan He 001; Xiang Wang 010; Qifan Wang 001; Weijian Chen 001; Jianxun Lian; Xing Xie 001; Yongdong Zhang 001 (CoRR, 2020)

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. - Danyang Liu; Jianxun Lian; Zheng Liu 011; Xiting Wang; Guangzhong Sun; Xing Xie 001 (KDD, 2021)

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. - Xinyan Fan; Zheng Liu 011; Jianxun Lian; Wayne Xin Zhao; Xing Xie 001; Ji-Rong Wen (SIGIR, 2021)

Self-supervised Graph Learning for Recommendation. - Jiancan Wu; Xiang Wang 010; Fuli Feng; Xiangnan He 001; Liang Chen 001; Jianxun Lian; Xing Xie 001 (SIGIR, 2021)

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. - Jianxun Lian; Iyad Batal; Zheng Liu 011; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Xing Xie 001 (CoRR, 2021)

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. - Junhan Yang; Zheng Liu 011; Bowen Jin; Jianxun Lian; Defu Lian; Akshay Soni; Eun Yong Kang; Yajun Wang 001; Guangzhong Sun; Xing Xie 001 (CoRR, 2021)

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. - Jianhuan Zhuo; Jianxun Lian; Lanling Xu; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Yinliang Yue (CIKM, 2022)

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. - Bochen Pang; Chaozhuo Li; Yuming Liu; Jianxun Lian; Jianan Zhao 002; Hao Sun 015; Weiwei Deng; Xing Xie 001; Qi Zhang 066 (KDD, 2022)

Friend Recommendations with Self-Rescaling Graph Neural Networks. - Xiran Song; Jianxun Lian; Hong Huang 001; Mingqi Wu; Hai Jin 001; Xing Xie 001 (KDD, 2022)

Reinforcement Subgraph Reasoning for Fake News Detection. - Ruichao Yang; Xiting Wang; Yiqiao Jin; Chaozhuo Li; Jianxun Lian; Xing Xie 001 (KDD, 2022)

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. - Xinyan Fan; Jianxun Lian; Wayne Xin Zhao; Zheng Liu 011; Chaozhuo Li; Xing Xie 001 (SIGIR, 2022)

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. - Zihan Luo 001; Jianxun Lian; Hong Huang 001; Hai Jin 001; Xing Xie 001 (WSDM, 2022)

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. - Yu Song 005; Shuai Sun; Jianxun Lian; Hong Huang 001; Yu Li; Hai Jin 001; Xing Xie 001 (WSDM, 2022)

A Mutually Reinforced Framework for Pretrained Sentence Embeddings. - Junhan Yang; Zheng Liu 011; Shitao Xiao; Jianxun Lian; Lijun Wu; Defu Lian; Guangzhong Sun; Xing Xie 001 (CoRR, 2022)

Negative Sampling for Contrastive Representation Learning: A Review. - Lanling Xu; Jianxun Lian; Wayne Xin Zhao; Ming Gong 001; Linjun Shou; Daxin Jiang; Xing Xie 001; Ji-Rong Wen (CoRR, 2022)

Geometric Interaction Augmented Graph Collaborative Filtering. - Yiding Zhang; Chaozhuo Li; Senzhang Wang; Jianxun Lian; Xing Xie 001 (CoRR, 2022)

Graph convolution machine for context-aware recommender system. - Jiancan Wu; Xiangnan He 001; Xiang Wang 010; Qifan Wang 001; Weijian Chen 001; Jianxun Lian; Xing Xie 001 (Frontiers Comput. Sci., 2022)

Towards Better Entity Linking with Multi-View Enhanced Distillation. - Yi Liu 067; Yuan Tian; Jianxun Lian; Xinlong Wang; Yanan Cao 001; Fang Fang 009; Wen Zhang; Haizhen Huang; Weiwei Deng; Qi Zhang 066 (ACL (1), 2023)

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. - Zihan Luo 001; Hong Huang 001; Jianxun Lian; Xiran Song; Xing Xie 001; Hai Jin 001 (NeurIPS, 2023)

Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. - Jun Yin 005; Chaozhuo Li; Hao Yan 004; Jianxun Lian; Senzhang Wang (NeurIPS, 2023)

Towards Explainable Collaborative Filtering with Taste Clusters Learning. - Yuntao Du 002; Jianxun Lian; Jing Yao; Xiting Wang; Mingqi Wu; Lu Chen 001; Yunjun Gao; Xing Xie 001 (WWW, 2023)

Distillation from Heterogeneous Models for Top-K Recommendation. - SeongKu Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (WWW, 2023)

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. - Xiran Song; Jianxun Lian; Hong Huang 001; Zihan Luo 001; Wei Zhou; Xue Lin 005; Mingqi Wu; Chaozhuo Li; Xing Xie 001; Hai Jin 001 (WWW, 2023)

Towards Better Entity Linking with Multi-View Enhanced Distillation. - Yi Liu 067; Yuan Tian; Jianxun Lian; Xinlong Wang; Yanan Cao 001; Fang Fang 009; Wen Zhang; Haizhen Huang; Denvy Deng; Qi Zhang 066 (CoRR, 2023)

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. - Cheng Li; Jindong Wang 001; Kaijie Zhu; Yixuan Zhang 001; Wenxin Hou; Jianxun Lian; Xing Xie 001 (CoRR, 2023)

ConvFormer: Revisiting Transformer for Sequential User Modeling. - Hao Wang 049; Jianxun Lian; Mingqi Wu; Haoxuan Li 001; Jiajun Fan; Wanyue Xu; Chaozhuo Li; Xing Xie 001 (CoRR, 2023)

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Defu Lian; Xing Xie 001 (CoRR, 2023)

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. - Jing Yao; Wei Xu; Jianxun Lian; Xiting Wang; Xiaoyuan Yi; Xing Xie 001 (CoRR, 2023)

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. - Yuxuan Lei; Jianxun Lian; Jing Yao; Xu Huang 008; Defu Lian; Xing Xie 001 (CoRR, 2023)

Recommender Systems - Frontiers and Practices - Dongsheng Li 002; Jianxun Lian; Le Zhang; Kan Ren; Tun Lu; Tao Wu; Xing Xie 001 (Springer, 2024)

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. - Lei Li; Jianxun Lian; Xiao Zhou 005; Xing Xie 001 (AAAI, 2024)

Aligning Large Language Models for Controllable Recommendations. - Wensheng Lu; Jianxun Lian; Wei Zhang 242; Guanghua Li; Mingyang Zhou 001; Hao Liao; Xing Xie 001 (ACL (1), 2024)

The Good, The Bad, and Why: Unveiling Emotions in Generative AI. - Cheng Li; Jindong Wang 001; Yixuan Zhang 001; Kaijie Zhu; Xinyi Wang; Wenxin Hou; Jianxun Lian; Fang Luo; Qiang Yang 001; Xing Xie 001 (ICML, 2024)

COMET: NFT Price Prediction with Wallet Profiling. - Tianfu Wang 002; Liwei Deng 001; Chao Wang 086; Jianxun Lian; Yue Yan; Nicholas Jing Yuan; Qi Zhang 066; Hui Xiong 001 (KDD, 2024)

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. - Yuxuan Lei; Jianxun Lian; Jing Yao; Xu Huang 008; Defu Lian; Xing Xie 001 (KDD, 2024)

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. - Xu Huang 008; Jianxun Lian; Hao Wang 049; Hao Liao; Defu Lian; Xing Xie 001 (WWW, 2024)

Aligning Language Models for Versatile Text-based Item Retrieval. - Yuxuan Lei; Jianxun Lian; Jing Yao; Mingqi Wu; Defu Lian; Xing Xie 001 (WWW (Companion Volume), 2024)

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. - Jianxun Lian; Yuxuan Lei; Xu Huang 008; Jing Yao; Wei Xu; Xing Xie 001 (WWW (Companion Volume), 2024)

Information Retrieval Meets Large Language Models. - Zheng Liu 011; Yujia Zhou 002; Yutao Zhu 001; Jianxun Lian; Chaozhuo Li; Zhicheng Dou; Defu Lian; Jian-Yun Nie (WWW (Companion Volume), 2024)

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. - Zihan Luo 001; Xiran Song; Hong Huang 001; Jianxun Lian; Chenhao Zhang 005; Jinqi Jiang; Xing Xie 001 (CoRR, 2024)

The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment. - HyunJin Kim; Xiaoyuan Yi; Jing Yao; Jianxun Lian; Muhua Huang; Shitong Duan; JinYeong Bak; Xing Xie 001 (CoRR, 2024)

XGCN: a library for large-scale graph neural network recommendations. - Xiran Song; Hong Huang 001; Jianxun Lian; Hai Jin 001 (Frontiers Comput. Sci., 2024)

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 (1), 2025)

SocialCC: Interactive Evaluation for Cultural Competence in Language Agents. - Jincenzi Wu; Jianxun Lian; Dingdong Wang; Helen M. Meng (ACL (1), 2025)

MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? - Xixian Yong; Jianxun Lian; Xiaoyuan Yi; Xiao Zhou 005; Xing Xie 001 (ACL (Findings), 2025)

Towards Controllable Hybrid Fairness in Graph Neural Networks. - Zihan Luo 001; Hong Huang 001; Jianxun Lian; Xiran Song; Hai Jin 001 (KDD (1), 2025)

CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. - Lei Wang 198; Jianxun Lian; Yi Huang; Yanqi Dai; Haoxuan Li 001; Xu Chen 017; Xing Xie 001; Ji-Rong Wen (NAACL (Long Papers), 2025)

TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. - Zeyu Zhang 007; Jianxun Lian; Chen Ma 001; Yaning Qu; Ye Luo; Lei Wang 198; Rui Li 086; Xu Chen 017; Yankai Lin; Le Wu; Xing Xie 001; Ji-Rong Wen (NAACL (Findings), 2025)

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. - Tianfu Wang 002; Yi Zhan; Jianxun Lian; Zhengyu Hu; Nicholas Jing Yuan; Qi Zhang 066; Xing Xie 001; Hui Xiong 001 (WWW (Companion Volume), 2025)

Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs. - Hao Liao; Wensheng Lu; Jianxun Lian; Mingqi Wu; Shuo Wang; Yong Zhang 002; Yitian Huang; Ming-Yang Zhou 001; Xing Xie 001 (CoRR, 2025)

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach. - Yuchen Wu; Edward Sun; Kaijie Zhu; Jianxun Lian; José Hernández-Orallo; Aylin Caliskan; Jindong Wang 001 (CoRR, 2025)

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study. - Zhengyu Hu; Jianxun Lian; Zheyuan Xiao; Seraphina Zhang; Tianfu Wang 002; Nicholas Jing Yuan; Xing Xie 001; Hui Xiong 001 (CoRR, 2025)

Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries. - Hyunji Nam; Yanming Wan; Mickel Liu; Jianxun Lian; Natasha Jaques (CoRR, 2025)

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. - Xu Huang 008; Jianxun Lian; Yuxuan Lei; Jing Yao; Defu Lian; Xing Xie 001 (ACM Trans. Inf. Syst., 2025)

Neural Recommendation Reasoning with Logic Rules. - Jing Yao; Xiting Wang; Jianxun Lian; Xiaoyuan Yi; Xing Xie 001 (ACM Trans. Inf. Syst., 2025)

Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. - Seongku Kang; Wonbin Kweon; Dongha Lee 003; Jianxun Lian; Xing Xie 001; Hwanjo Yu (Trans. Recomm. Syst., 2025)