Jianxun Lian

Principal Researcher

出版物

表示方法:

- Preference Data Selection for Mitigating the Alignment Tax in Large Language Models
  
  Minsu Kim, Jianxun Lian, Xing Xie, Steven Euijong Whang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice
  
  Tianfu Wang, Max Xiong, Jianxun Lian, Hongyuan Zhu, Zhengyu Hu, Yuxuan Lei, Linxiao Gong, Xiaofan Li, Peiting Tsai, Nicholas Jing Yuan, Qi Zhang
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- A Computational Framework for Evaluating Human-likeness in LLMs’ Open-ended Human Behaviors
  
  Yuxuan Lei, Jianxun Lian, Defu Lian, Jincenzi Wu, Tianfu Wang, Xing Xie
  
  2026 ICML 2026 | June 2026
  
  Publication
- Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
  
  Weicai Yan, Yuhong Dai, Qimu Ran, Haodong Li, Wang Lin, Haodong Liao, Xing Xie, Tao Jin, Jianxun Lian
  
  ICML 2026 | May 2026
  
  Publication
- PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models
  
  Wen Shi, Jianxun Lian, Mingqi Wu, Haiming Qin, Ming Zhou, Xing Xie, Naipeng Chao, Hao Liao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Reasoning-Aware AIGC Detection via Alignment and Reinforcement
  
  Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
  
  Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Social-R1: Towards Human-like Social Reasoning in LLMs
  
  Jincenzi Wu, Yuxuan Lei, Jianxun Lian, Yitian Huang, Lexin Zhou, Haotian Li, Xing Xie, Helen M. Meng
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Visuospatial Perspective Taking in Multimodal Language Models
  
  Jonathan E. Prunty, Seraphina Zhang, P. Quinn, Jianxun Lian, Xing Xie, L. Cheke
  
  March 2026
  
  arXiv | March 2026
  
  Publication Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- Can 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
  
  January 2026
  
  January 2026
  
  PDF
- Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
  
  Shanlin Zhou, Xinpeng Wang, Jianxun Lian, Zhenghao Liu, L. Lakshmanan, Xiaoyuan Yi, Yongtao Hao
  
  November 2025
  
  arXiv | November 2025
  
  Publication
- Population-Aligned Persona Generation for LLM-based Social Simulation
  
  Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
  
  September 2025
  
  arXiv | September 2025
  
  Publication
- Learning to summarize user information for personalized reinforcement learning from human feedback
  
  Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
  
  ICLR 2026 | July 2025
  
  Publication
- 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 2025 | July 2025
  
  Publication
- SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
  
  Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
  
  ACL 2025 | July 2025
  
  Publication
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
  
  Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- LLM-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
  
  Companion Proceedings of the ACM on Web Conference 2025 | January 2025
  
  The Web Conference
  
  Publication Publication Publication
- The 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
  
  ICML 2024 | December 2023
  
  DOI Publication Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Distillation from Heterogeneous Models for Top-K Recommendation
  
  SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
  
  The Web Conference 2023 | April 2023
  
  Publication
- Towards Explainable Collaborative Filtering with Taste Clusters Learning
  
  Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
  
  the Web Conference 2023 | April 2023
  
  Publication
- xGCN 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
  
  The Web Conference 2023 | April 2023
  
  Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Friend Recommendations with Self-Rescaling Graph Neural Networks
  
  Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
  
  KDD 2022 | August 2022
  
  Publication
- Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
  
  Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
  
  SIGIR 2022 | July 2022
  
  Publication
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
  
  KDD 2022 | June 2022
  
  Publication
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
  
  PDF
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show 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
  
  WSDM 2022 | February 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Lighter 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
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- 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, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication アクセス
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication

- Preference Data Selection for Mitigating the Alignment Tax in Large Language Models
  
  Minsu Kim, Jianxun Lian, Xing Xie, Steven Euijong Whang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- A Computational Framework for Evaluating Human-likeness in LLMs’ Open-ended Human Behaviors
  
  Yuxuan Lei, Jianxun Lian, Defu Lian, Jincenzi Wu, Tianfu Wang, Xing Xie
  
  2026 ICML 2026 | June 2026
  
  Publication
- PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models
  
  Wen Shi, Jianxun Lian, Mingqi Wu, Haiming Qin, Ming Zhou, Xing Xie, Naipeng Chao, Hao Liao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
  
  Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Social-R1: Towards Human-like Social Reasoning in LLMs
  
  Jincenzi Wu, Yuxuan Lei, Jianxun Lian, Yitian Huang, Lexin Zhou, Haotian Li, Xing Xie, Helen M. Meng
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Visuospatial Perspective Taking in Multimodal Language Models
  
  Jonathan E. Prunty, Seraphina Zhang, P. Quinn, Jianxun Lian, Xing Xie, L. Cheke
  
  March 2026
  
  arXiv | March 2026
  
  Publication Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
  
  Shanlin Zhou, Xinpeng Wang, Jianxun Lian, Zhenghao Liu, L. Lakshmanan, Xiaoyuan Yi, Yongtao Hao
  
  November 2025
  
  arXiv | November 2025
  
  Publication
- Learning to summarize user information for personalized reinforcement learning from human feedback
  
  Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
  
  ICLR 2026 | July 2025
  
  Publication
- SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
  
  Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
  
  ACL 2025 | July 2025
  
  Publication
- 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 2025 | July 2025
  
  Publication
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
  
  Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- LLM-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
  
  Companion Proceedings of the ACM on Web Conference 2025 | January 2025
  
  The Web Conference
  
  Publication Publication Publication
- The 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
  
  ICML 2024 | December 2023
  
  DOI Publication Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
  
  PDF
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show 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
  
  WSDM 2022 | February 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Lighter 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
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- 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, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication アクセス
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication
- Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
  
  Shanlin Zhou, Xinpeng Wang, Jianxun Lian, Zhenghao Liu, L. Lakshmanan, Xiaoyuan Yi, Yongtao Hao
  
  November 2025
  
  arXiv | November 2025
  
  Publication
- 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, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication アクセス
- SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice
  
  Tianfu Wang, Max Xiong, Jianxun Lian, Hongyuan Zhu, Zhengyu Hu, Yuxuan Lei, Linxiao Gong, Xiaofan Li, Peiting Tsai, Nicholas Jing Yuan, Qi Zhang
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- Can 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
  
  January 2026
  
  January 2026
  
  PDF
- LLM-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
  
  Companion Proceedings of the ACM on Web Conference 2025 | January 2025
  
  The Web Conference
  
  Publication Publication Publication
- Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
  
  Weicai Yan, Yuhong Dai, Qimu Ran, Haodong Li, Wang Lin, Haodong Liao, Xing Xie, Tao Jin, Jianxun Lian
  
  ICML 2026 | May 2026
  
  Publication
- Reasoning-Aware AIGC Detection via Alignment and Reinforcement
  
  Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- Reasoning-Aware AIGC Detection via Alignment and Reinforcement
  
  Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
  
  Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Population-Aligned Persona Generation for LLM-based Social Simulation
  
  Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
  
  September 2025
  
  arXiv | September 2025
  
  Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Distillation from Heterogeneous Models for Top-K Recommendation
  
  SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
  
  The Web Conference 2023 | April 2023
  
  Publication
- Towards Explainable Collaborative Filtering with Taste Clusters Learning
  
  Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
  
  the Web Conference 2023 | April 2023
  
  Publication
- xGCN 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
  
  The Web Conference 2023 | April 2023
  
  Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Friend Recommendations with Self-Rescaling Graph Neural Networks
  
  Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
  
  KDD 2022 | August 2022
  
  Publication
- Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
  
  Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
  
  SIGIR 2022 | July 2022
  
  Publication
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
  
  KDD 2022 | June 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Lighter 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
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication

- Preference Data Selection for Mitigating the Alignment Tax in Large Language Models
  
  Minsu Kim, Jianxun Lian, Xing Xie, Steven Euijong Whang
  
  August 2026
  
  arXiv | August 2026
  
  Publication
- SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice
  
  Tianfu Wang, Max Xiong, Jianxun Lian, Hongyuan Zhu, Zhengyu Hu, Yuxuan Lei, Linxiao Gong, Xiaofan Li, Peiting Tsai, Nicholas Jing Yuan, Qi Zhang
  
  June 2026
  
  arXiv | June 2026
  
  Publication
- PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models
  
  Wen Shi, Jianxun Lian, Mingqi Wu, Haiming Qin, Ming Zhou, Xing Xie, Naipeng Chao, Hao Liao
  
  May 2026
  
  arXiv | May 2026
  
  Publication
- Reasoning-Aware AIGC Detection via Alignment and Reinforcement
  
  Zhao Wang, Max Xiong, Jianxun Lian, Zhicheng Dou
  
  April 2026
  
  arXiv | April 2026
  
  Publication
- HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships
  
  Xiangxu Zhang, Xiao Zhou, Hongteng Xu, Jianxun Lian
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Social-R1: Towards Human-like Social Reasoning in LLMs
  
  Jincenzi Wu, Yuxuan Lei, Jianxun Lian, Yitian Huang, Lexin Zhou, Haotian Li, Xing Xie, Helen M. Meng
  
  March 2026
  
  arXiv | March 2026
  
  Publication
- Visuospatial Perspective Taking in Multimodal Language Models
  
  Jonathan E. Prunty, Seraphina Zhang, P. Quinn, Jianxun Lian, Xing Xie, L. Cheke
  
  March 2026
  
  arXiv | March 2026
  
  Publication Publication
- Contextualized Privacy Defense for LLM Agents
  
  Yule Wen, Yanzhe Zhang, Jianxun Lian, Xiaoyuan Yi, Xing Xie, Diyi Yang
  
  March 2026
  
  arXiv | March 2026
  
  Preprint
  
  Publication
- Can 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
  
  January 2026
  
  January 2026
  
  PDF
- Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization
  
  Shanlin Zhou, Xinpeng Wang, Jianxun Lian, Zhenghao Liu, L. Lakshmanan, Xiaoyuan Yi, Yongtao Hao
  
  November 2025
  
  arXiv | November 2025
  
  Publication
- Population-Aligned Persona Generation for LLM-based Social Simulation
  
  Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
  
  September 2025
  
  arXiv | September 2025
  
  Publication
- LLM-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
  
  Companion Proceedings of the ACM on Web Conference 2025 | January 2025
  
  The Web Conference
  
  Publication Publication Publication
- LLM-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
  
  Companion Proceedings of the ACM on Web Conference 2025 | January 2025
  
  The Web Conference
  
  Publication Publication Publication
- A Computational Framework for Evaluating Human-likeness in LLMs’ Open-ended Human Behaviors
  
  Yuxuan Lei, Jianxun Lian, Defu Lian, Jincenzi Wu, Tianfu Wang, Xing Xie
  
  2026 ICML 2026 | June 2026
  
  Publication
- Proact-VL: A Proactive VideoLLM for Real-Time AI Companions
  
  Weicai Yan, Yuhong Dai, Qimu Ran, Haodong Li, Wang Lin, Haodong Liao, Xing Xie, Tao Jin, Jianxun Lian
  
  ICML 2026 | May 2026
  
  Publication
- Learning to summarize user information for personalized reinforcement learning from human feedback
  
  Hyunji Nam, Yanming Wan, Mickel Liu, Peter Ahnn, Jianxun Lian, Natasha Jaques
  
  ICLR 2026 | July 2025
  
  Publication
- SocialCC: Interactive Evaluation for Cultural Competence in Language Agents
  
  Jincenzi Wu, Jianxun Lian, DingDong Wang, Helen Meng
  
  ACL 2025 | July 2025
  
  Publication
- 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 2025 | July 2025
  
  Publication
- Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
  
  Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Seraphina Zhang, Tianfu Wang, Nicholas Jing Yuan, Xing Xie, Hui Xiong
  
  NeurIPS 2025 | June 2025
  
  DOI Publication Publication
- 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
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- LLM-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
  
  Companion Proceedings of the ACM on Web Conference 2025 | January 2025
  
  The Web Conference
  
  Publication Publication Publication
- The 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
  
  ICML 2024 | December 2023
  
  DOI Publication Publication
- Towards Better Entity Linking with Multi-View Enhanced Distillation
  
  Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Denvy Deng, Qi Zhang
  
  ACL 2023 | July 2023
  
  Publication Publication
- Distillation from Heterogeneous Models for Top-K Recommendation
  
  SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu
  
  The Web Conference 2023 | April 2023
  
  Publication
- Towards Explainable Collaborative Filtering with Taste Clusters Learning
  
  Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
  
  the Web Conference 2023 | April 2023
  
  Publication
- xGCN 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
  
  The Web Conference 2023 | April 2023
  
  Publication
- Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation
  
  Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong (YIMING), Linjun Shou (寿林钧), Xing Xie, Yinliang Yue
  
  CIKM 2022 | October 2022
  
  Publication
- Friend Recommendations with Self-Rescaling Graph Neural Networks
  
  Xiran Song, Jianxun Lian, Hong Huang, Mingqi Wu, Hai Jin, Xing Xie
  
  KDD 2022 | August 2022
  
  Publication
- Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation
  
  Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie
  
  SIGIR 2022 | July 2022
  
  Publication
- Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
  
  Chaozhuo Li, Bochen Pang, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang
  
  KDD 2022 | June 2022
  
  Publication
- Reinforcement Subgraph Reasoning for Fake News Detection
  
  Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | June 2022
  
  PDF
- Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks
  
  Zihan Luo, Jianxun Lian, Hong Huang, Hai Jin, Xing Xie
  
  February 2022
  
  Publication
- Show 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
  
  WSDM 2022 | February 2022
  
  Publication
- Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning
  
  Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
  
  KDD 2021 | August 2021
  
  Publication
- Self-supervised Graph Learning for Recommendation
  
  Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
  
  SIGIR 2021 | July 2021
  
  Publication
- Lighter 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
  
  SIGIR 2021 short paper | July 2021
  
  Publication
- KRED: Knowledge-Aware Document Representation for News Recommendations
  
  Danyang Liu, Jianxun Lian, Shiyin Wang, Ying Qiao, Jiun-Hung Chen, Guangzhong Sun, Xing Xie
  
  RecSys 2020 | September 2020
  
  Publication
- Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates
  
  Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
  
  SIGIR 2020 | July 2020
  
  Publication
- 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, Jianfeng Gao, Winnie Wu, Ming Zhou
  
  ACL 2020 | July 2020
  
  Publication アクセス
- LightRec: A Memory and Search-Efficient Recommender System
  
  Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
  
  The Web Conference 2020 | April 2020
  
  Publication
- Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation
  
  Fengli Xu, Jianxun Lian, Zhenyu Han, Yong Li, Yujian Xu, Xing Xie
  
  CIKM 2019 - International Conference on Information and Knowledge Management | November 2019
  
  Publication
- News Graph: An Enhanced Knowledge Graph for News Recommendation
  
  Danyang Liu, Ting Bai, Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie
  
  KARS 2019 - Second workshop on knowledge-aware recommender systems. | November 2019
  
  Publication
- Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems
  
  Xiao Zhou, Danyang Liu, Jianxun Lian, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation
  
  Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | August 2019
  
  Publication
- xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  
  Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
  
  ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (ACM SIGKDD) | August 2018
  
  Publication
- Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Joint Conferences on Artificial Intelligence (IJCAI) | July 2018
  
  Publication
- Practical lessons for job recommendations in the cold-start scenario
  
  Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, Guangzhong Sun
  
  Recommender Systems Challenge 2017 | August 2017
- A multifaceted model for cross domain recommendation systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  Knowledge Science, Engineering and Management (KSEM 2017) | July 2017
  
  Publication
- Restaurant survival analysis with heterogeneous information
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Publication
- CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems
  
  Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
  
  International Conference on World Wide Web (WWW'17 Companion) | April 2017
  
  Author's Version
- Content-based collaborative filtering for news topic recommendation
  
  Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
  
  Twenty-ninth AAAI conference on artificial intelligence (AAAI'15) | February 2015
  
  Publication
- Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup
  
  Jianxun Lian, Xing Xie
  
  July 2016
  
  Presented at the workshop of 2016 CIKM Cup
  
  Publication

Jianxun Lian

出版物

Preference Data Selection for Mitigating the Alignment Tax in Large Language Models

SocialCoach: Personalized Social Skill Learning with RL-based Agentic Tutoring and Practice

A Computational Framework for Evaluating Human-likeness in LLMs’ Open-ended Human Behaviors

Proact-VL: A Proactive VideoLLM for Real-Time AI Companions

PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models

Reasoning-Aware AIGC Detection via Alignment and Reinforcement

HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships

Social-R1: Towards Human-like Social Reasoning in LLMs

Visuospatial Perspective Taking in Multimodal Language Models

Contextualized Privacy Defense for LLM Agents

Can AI Revise Research Papers with Human Review Feedback? An Empirical Study and Benchmark

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization

Population-Aligned Persona Generation for LLM-based Social Simulation

Learning to summarize user information for personalized reinforcement learning from human feedback

Pretraining Context Compressor for Large Language Models with Embedding-Based Memory

SocialCC: Interactive Evaluation for Cultural Competence in Language Agents

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

Towards Better Entity Linking with Multi-View Enhanced Distillation

Distillation from Heterogeneous Models for Top-K Recommendation

Towards Explainable Collaborative Filtering with Taste Clusters Learning

xGCN An Extreme Graph Convolutional Network for Large-scale Social Link Prediction

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation

Friend Recommendations with Self-Rescaling Graph Neural Networks

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads

Reinforcement Subgraph Reasoning for Fake News Detection

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation

Self-supervised Graph Learning for Recommendation

KRED: Knowledge-Aware Document Representation for News Recommendations

MIND: A Large-scale Dataset for News Recommendation

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates

LightRec: A Memory and Search-Efficient Recommender System

Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation

News Graph: An Enhanced Knowledge Graph for News Recommendation

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach

Practical lessons for job recommendations in the cold-start scenario

A multifaceted model for cross domain recommendation systems

CCCFNet: a content-boosted collaborative filtering neural network for cross domain recommender systems

Restaurant survival analysis with heterogeneous information

Cross-device user matching based on massive browse logs: The runner-up solution for the 2016 CIKM Cup

Content-based collaborative filtering for news topic recommendation

Preference Data Selection for Mitigating the Alignment Tax in Large Language Models

A Computational Framework for Evaluating Human-likeness in LLMs’ Open-ended Human Behaviors

PersonaArena: Dynamic Simulation for Evaluating and Enhancing Persona-Level Role-Playing in Large Language Models

HypeMed: Enhancing Medication Recommendations with Hypergraph-Based Patient Relationships

Social-R1: Towards Human-like Social Reasoning in LLMs

Visuospatial Perspective Taking in Multimodal Language Models

Contextualized Privacy Defense for LLM Agents

Chinese Short-Form Creative Content Generation via Explanation-Oriented Multi-Objective Optimization

Learning to summarize user information for personalized reinforcement learning from human feedback

SocialCC: Interactive Evaluation for Cultural Competence in Language Agents

Pretraining Context Compressor for Large Language Models with Embedding-Based Memory

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study

Personalized Safety in LLMs: A Benchmark and A Planning-Based Agent Approach

LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring System

The Good, The Bad, and Why: Unveiling Emotions in Generative AI

Towards Better Entity Linking with Multi-View Enhanced Distillation

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation

Reinforcement Subgraph Reasoning for Fake News Detection

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation

KRED: Knowledge-Aware Document Representation for News Recommendations

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates

MIND: A Large-scale Dataset for News Recommendation

LightRec: A Memory and Search-Efficient Recommender System

Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation

News Graph: An Enhanced Knowledge Graph for News Recommendation