Jianxun Lian - RankMe

111 papers A* 26A 5C 1Journal 59Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BPL: Bias-Adaptive Preference Distillation Learning For Recommender System. IEEE Trans. Knowl. Data Eng. SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2026	J	`jnl`	Contextualized Privacy Defense for LLM Agents. CoRR Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
2026	—	`conf`	HumanLLM: Towards Personalized Understanding and Simulation of Human Nature. KDD (1) Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2026	J	`jnl`	HumanLLM: Towards Personalized Understanding and Simulation of Human Nature. CoRR Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2026	J	`jnl`	HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships. CoRR Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian
2026	J	`jnl`	Proact-VL: A Proactive VideoLLM for Real-Time AI Companions. CoRR Weicai Yan, Yuhong Dai, Qi Ran, Haodong Li, Wang Lin, Hao Liao, Xing Xie, Tao Jin, Jianxun Lian
2026	J	`jnl`	Social-R1: Towards Human-like Social Reasoning in LLMs. CoRR Jincenzi Wu, Yuxuan Lei, Jianxun Lian, Yitian Huang, Lexin Zhou, Haotian Li, Xing Xie, Helen Meng
2026	J	`jnl`	To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks. CoRR Nanxu Gong, Haotian Li, Sixun Dong, Jianxun Lian, Yanjie Fu, Xing Xie
2026	J	`jnl`	Visuospatial Perspective Taking in Multimodal Language Models. CoRR Jonathan E. Prunty, Seraphina Zhang, Patrick Quinn, Jianxun Lian, Xing Xie, Lucy Cheke
2026	J	`jnl`	Why Not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models. ACM Trans. Inf. Syst. Hanze Guo, Jianxun Lian, Xiao Zhou
2026	J	`jnl`	Why not Collaborative Filtering in Dual View? Bridging Sparse and Dense Models. CoRR Hanze Guo, Jianxun Lian, Xiao Zhou
2025	J	`jnl`	Avoid Recommending Out-of-Domain Items: Constrained Generative Recommendation with LLMs. CoRR Hao Liao, Wensheng Lu, Jianxun Lian, Mingqi Wu, Shuo Wang, Yong Zhang, Yitian Huang, Ming-Yang Zhou, Xing Xie
2025	J	`jnl`	BPL: Bias-adaptive Preference Distillation Learning for Recommender System. CoRR SeongKu Kang, Jianxun Lian, Dongha Lee, Wonbin Kweon, Sanghwan Jang, Jaehyun Lee, Jindong Wang, Xing Xie, Hwanjo Yu
2025	—	`conf`	CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. NAACL (Long Papers) Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen
2025	—	`conf`	Explaining Length Bias in LLM-Based Preference Evaluations. EMNLP (Findings) Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Tianfu Wang, Zhengyu Chen, Nicholas Jing Yuan, Jianxun Lian, Kaize Ding, Hui Xiong
2025	—	`conf`	Hierarchical Reward Modeling for Fault Localization in Large Code Repositories. EMNLP (Findings) Jiwei Zhang, Jianxun Lian, Haiming Qin, Mingyang Zhou, Kezhong Lu, Rui Mao, Hao Liao
2025	J	`jnl`	Interactive AI NPCs Powered by LLMs: Technical Report for the CPDC Challenge 2025. CoRR Yitian Huang, Yuxuan Lei, Jianxun Lian, Hao Liao
2025	—	`conf`	LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. WWW (Companion Volume) Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong
2025	J	`jnl`	LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System. CoRR Tianfu Wang, Yi Zhan, Jianxun Lian, Zhengyu Hu, Nicholas Jing Yuan, Qi Zhang, Xing Xie, Hui Xiong
2025	J	`jnl`	Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries. CoRR Hyunji Nam, Yanming Wan, Mickel Liu, Jianxun Lian, Natasha Jaques
2025	—	`conf`	MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? ACL (Findings) Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou, Xing Xie
2025	J	`jnl`	MotiveBench: How Far Are We From Human-Like Motivational Reasoning in Large Language Models? CoRR Xixian Yong, Jianxun Lian, Xiaoyuan Yi, Xiao Zhou, Xing Xie
2025	J	`jnl`	NAMeGEn: Creative Name Generation via A Novel Agent-based Multiple Personalized Goal Enhancement Framework. CoRR Shanlin Zhou, Xinpeng Wang, Jianxun Lian, Zhenghao Liu, Laks V. S. Lakshmanan, Xiaoyuan Yi, Yongtao Hao
2025	J	`jnl`	Neural Recommendation Reasoning with Logic Rules. ACM Trans. Inf. Syst. Jing Yao, Xiting Wang, Jianxun Lian, Xiaoyuan Yi, Xing Xie
2025	J	`jnl`	Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach. CoRR Yuchen Wu, Edward Sun, Kaijie Zhu, Jianxun Lian, José Hernández-Orallo, Aylin Caliskan, Jindong Wang
2025	J	`jnl`	Population-Aligned Persona Generation for LLM-based Social Simulation. CoRR Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
2025	—	`conf`	Pretraining Context Compressor for Large Language Models with Embedding-Based Memory. ACL (1) Yuhong Dai, Jianxun Lian, Yitian Huang, Wei Zhang, Mingyang Zhou, Mingqi Wu, Xing Xie, Hao Liao
2025	J	`jnl`	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. ACM Trans. Inf. Syst. Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2025	—	`conf`	SocialCC: Interactive Evaluation for Cultural Competence in Language Agents. ACL (1) Jincenzi Wu, Jianxun Lian, Dingdong Wang, Helen M. Meng
2025	—	`conf`	Towards Controllable Hybrid Fairness in Graph Neural Networks. KDD (1) Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Hai Jin
2025	—	`conf`	TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. NAACL (Findings) 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
2025	J	`jnl`	Unbiased, Effective, and Efficient Distillation from Heterogeneous Models for Recommender Systems. Trans. Recomm. Syst. SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2025	J	`jnl`	Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study. CoRR Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2024	A*	`conf`	A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024	A*	`conf`	Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. AAAI Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
2024	J	`jnl`	Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations. CoRR Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie
2024	—	`conf`	Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024	J	`jnl`	Aligning Language Models for Versatile Text-based Item Retrieval. CoRR Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024	—	`conf`	Aligning Large Language Models for Controllable Recommendations. ACL (1) Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
2024	J	`jnl`	Aligning Large Language Models for Controllable Recommendations. CoRR Wensheng Lu, Jianxun Lian, Wei Zhang, Guanghua Li, Mingyang Zhou, Hao Liao, Xing Xie
2024	A*	`conf`	COMET: NFT Price Prediction with Wallet Profiling. KDD Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
2024	J	`jnl`	COMET: NFT Price Prediction with Wallet Profiling. CoRR Tianfu Wang, Liwei Deng, Chao Wang, Jianxun Lian, Yue Yan, Nicholas Jing Yuan, Qi Zhang, Hui Xiong
2024	J	`jnl`	CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. CoRR Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen
2024	J	`jnl`	GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. CoRR Zihan Luo, Xiran Song, Hong Huang, Jianxun Lian, Chenhao Zhang, Jinqi Jiang, Xing Xie
2024	—	`conf`	Information Retrieval Meets Large Language Models. WWW (Companion Volume) Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
2024	—	`conf`	RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. WWW (Companion Volume) Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024	J	`jnl`	RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems. CoRR Jianxun Lian, Yuxuan Lei, Xu Huang, Jing Yao, Wei Xu, Xing Xie
2024	A*	`conf`	RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024	—	`book`	Recommender Systems - Frontiers and Practices Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie
2024	A*	`conf`	The Good, The Bad, and Why: Unveiling Emotions in Generative AI. ICML Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2024	J	`jnl`	The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment. CoRR HyunJin Kim, Xiaoyuan Yi, Jing Yao, Jianxun Lian, Muhua Huang, Shitong Duan, JinYeong Bak, Xing Xie
2024	J	`jnl`	TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System. CoRR 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
2024	J	`jnl`	XGCN: a library for large-scale graph neural network recommendations. Frontiers Comput. Sci. Xiran Song, Hong Huang, Jianxun Lian, Hai Jin
2023	J	`jnl`	A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR Xu Huang, Jianxun Lian, Hao Wang, Defu Lian, Xing Xie
2023	J	`jnl`	ConvFormer: Revisiting Transformer for Sequential User Modeling. CoRR Hao Wang, Jianxun Lian, Mingqi Wu, Haoxuan Li, Jiajun Fan, Wanyue Xu, Chaozhuo Li, Xing Xie
2023	A*	`conf`	Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. NeurIPS Zihan Luo, Hong Huang, Jianxun Lian, Xiran Song, Xing Xie, Hai Jin
2023	A*	`conf`	Distillation from Heterogeneous Models for Top-K Recommendation. WWW SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023	J	`jnl`	Distillation from Heterogeneous Models for Top-K Recommendation. CoRR SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
2023	J	`jnl`	EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus. CoRR Cheng Li, Jindong Wang, Kaijie Zhu, Yixuan Zhang, Wenxin Hou, Jianxun Lian, Xing Xie
2023	J	`jnl`	Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations. CoRR Jing Yao, Wei Xu, Jianxun Lian, Xiting Wang, Xiaoyuan Yi, Xing Xie
2023	J	`jnl`	RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2023	J	`jnl`	Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian, Xing Xie
2023	J	`jnl`	The Good, The Bad, and Why: Unveiling Emotions in Generative AI. CoRR Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie
2023	—	`conf`	Towards Better Entity Linking with Multi-View Enhanced Distillation. ACL (1) Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang
2023	J	`jnl`	Towards Better Entity Linking with Multi-View Enhanced Distillation. CoRR Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
2023	A*	`conf`	Towards Explainable Collaborative Filtering with Taste Clusters Learning. WWW Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023	J	`jnl`	Towards Explainable Collaborative Filtering with Taste Clusters Learning. CoRR Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023	A*	`conf`	Train Once and Explain Everywhere: Pre-training Interpretable Graph Neural Networks. NeurIPS Jun Yin, Chaozhuo Li, Hao Yan, Jianxun Lian, Senzhang Wang
2023	A*	`conf`	xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. WWW Xiran Song, Jianxun Lian, Hong Huang, Zihan Luo, Wei Zhou, Xue Lin, Mingqi Wu, Chaozhuo Li, Xing Xie, Hai Jin
2022	J	`jnl`	A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie
2022	A	`conf`	Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. WSDM Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
2022	A*	`conf`	Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022	J	`jnl`	Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. CoRR Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
2022	A*	`conf`	Friend Recommendations with Self-Rescaling Graph Neural Networks. KDD Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
2022	J	`jnl`	Geometric Interaction Augmented Graph Collaborative Filtering. CoRR Yiding Zhang, Chaozhuo Li, Senzhang Wang, Jianxun Lian, Xing Xie
2022	J	`jnl`	Graph convolution machine for context-aware recommender system. Frontiers Comput. Sci. Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie
2022	A*	`conf`	Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads. KDD Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
2022	J	`jnl`	Negative Sampling for Contrastive Representation Learning: A Review. CoRR Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen
2022	A*	`conf`	Reinforcement Subgraph Reasoning for Fake News Detection. KDD Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
2022	A	`conf`	Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. WSDM Yu Song, Shuai Sun, Jianxun Lian, Hong Huang, Yu Li, Hai Jin, Xing Xie
2022	A	`conf`	Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue
2021	J	`jnl`	Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie
2021	A*	`conf`	Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation. SIGIR Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, Ji-Rong Wen
2021	J	`jnl`	Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations. CoRR Jianxun Lian, Iyad Batal, Zheng Liu, Akshay Soni, Eun Yong Kang, Yajun Wang, Xing Xie
2021	A*	`conf`	Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning. KDD Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
2021	A*	`conf`	Self-supervised Graph Learning for Recommendation. SIGIR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2021	J	`jnl`	Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. CoRR Yu Song, Jianxun Lian, Shuai Sun, Hong Huang, Yu Li, Hai Jin, Xing Xie
2020	J	`jnl`	Graph Convolution Machine for Context-aware Recommender System. CoRR Jiancan Wu, Xiangnan He, Xiang Wang, Qifan Wang, Weijian Chen, Jianxun Lian, Xing Xie, Yongdong Zhang
2020	A*	`conf`	In Search for a Cure: Recommendation With Knowledge Graph on CORD-19. KDD Iris Shen, Le Zhang, Jianxun Lian, Chieh-Han Wu, Miguel González-Fierro, Andreas Argyriou, Tao Wu
2020	A	`conf`	KRED: Knowledge-Aware Document Representation for News Recommendations. RecSys Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
2020	A*	`conf`	LightRec: A Memory and Search-Efficient Recommender System. WWW Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
2020	A*	`conf`	MIND: A Large-scale Dataset for News Recommendation. ACL Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou
2020	A*	`conf`	Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
2020	—	`conf`	PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. EMNLP (Findings) Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020	J	`jnl`	PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision. CoRR Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020	J	`jnl`	Self-supervised Graph Learning for Recommendation. CoRR Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2019	J	`jnl`	A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie
2019	A*	`conf`	Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. IJCAI Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
2019	A*	`conf`	Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. IJCAI Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
2019	J	`jnl`	Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems. CoRR Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
2019	J	`jnl`	Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations. CoRR Danyang Liu, Jianxun Lian, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
2019	—	`conf`	News Graph: An Enhanced Knowledge Graph for News Recommendation. KaRS@CIKM Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie
2019	A	`conf`	Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation. CIKM Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
2018	A*	`conf`	Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach. IJCAI Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2018	A*	`conf`	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. KDD Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
2018	J	`jnl`	xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems. CoRR Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
2017	C	`conf`	A Multifaceted Model for Cross Domain Recommendation Systems. KSEM Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017	—	`conf`	CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems. WWW (Companion Volume) Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2017	—	`conf`	Restaurant Survival Analysis with Heterogeneous Information. WWW (Companion Volume) Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2016	J	`jnl`	Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup. CoRR Jianxun Lian, Xing Xie
2015	A*	`conf`	Content-Based Collaborative Filtering for News Topic Recommendation. AAAI Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang