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Xing Xie

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

306

Venues

40

Active years

2003–2026

Best venue rank

A*

Where they publish

Papers

Showing the 300 most recent indexed papers.

YearVenueTitleAuthors
2026AAAIIROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization.Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie
2026AAAIUnleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment.Xing Xie, Jiawei Liu, Ziyue Lin, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu
2026AAAIMoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions.Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie
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
2026ACLInfluence-based Online Experience Selection for Effective RLHF.Yifan Gong, Jing Yao, Xiting Wang, Xunlong Wang, Xiaoyuan Yi, Xing Xie
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
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
2026ACLCan Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment.Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, Jing Yao, Xing Xie, Nancy F. Chen, Roy Ka-Wei Lee
2026ACLMeasuring Human Contribution in AI-Assisted Content Generation.Yueqi Xie, Tao Qi, Jingwei Yi, Xiyuan Yang, Ryan Whalen, Junming Huang, Qian Ding, Yu Xie, Xing Xie, Fangzhao Wu
2026ACLMMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation.Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty, Weiwen Xu, Xiaoxue Gao, Bryan Chen Zhengyu Tan, Bowei Zou, Chang Liu, Yujia Hu, Xing Xie, Xiaoyuan Yi, Jing Yao, Chaojun Wang, Long Li, Rui Liu, Huiyao Liu, Koji Inoue, Ryuichi Sumida, Tatsuya Kawahara, Fan Xu, Lingyu Ye, Wei Tian, Dongjun Kim, Jimin Jung, Jaehyung Seo, Nadya Yuki Wangsajaya, Pham Minh Duc, Ojasva Saxena, Palash Nandi, Xiyan Tao, Wiwik Karlina, Tuan Luong, Keertana Arun Vasan, Roy Ka-Wei Lee, Nancy F. Chen
2026CHIFrom Passive Consumption to Active Interaction: Exploring Interactive LLM Scaffolding to Support Learning Engagement.Zixin Chen, Haotian Li, Zhe Liu, Huamin Qu, Xing Xie
2026CHIInteraction-Augmented Instruction: Modeling the Synergy of Prompts and Interactions in Human-GenAI Collaboration.Leixian Shen, Yifang Wang, Huamin Qu, Xing Xie, Haotian Li
2026CHIDuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection.Yuying Tang, Xinyi Chen, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
2026CHIHow Do Human Creators Embrace Human-AI Co-Creation? A Perspective on Human Agency of Screenwriters.Yuying Tang, Jiayi Zhou, Haotian Li, Xing Xie, Xiaojuan Ma, Huamin Qu
2026KDDHumanLLM: Towards Personalized Understanding and Simulation of Human Nature.Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2025ACLValue Compass Benchmarks: A Comprehensive, Generative and Self-Evolving Platform for LLMs' Value Evaluation.Jing Yao, Xiaoyuan Yi, Shitong Duan, Jindong Wang, Yuzhuo Bai, Muhua Huang, Yang Ou, Scarlett Li, Peng Zhang, Tun Lu, Zhicheng Dou, Maosong Sun, James Evans, Xing Xie
2025ACLUnintended Harms of Value-Aligned LLMs: Psychological and Empirical Insights.Sooyung Choi, Jaehyeok Lee, Xiaoyuan Yi, Jing Yao, Xing Xie, JinYeong Bak
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
2025ACLTowards Better Value Principles for Large Language Model Alignment: A Systematic Evaluation and Enhancement.Bingbing Xu, Jing Yao, Xiaoyuan Yi, Aishan Maoliniyazi, Xing Xie, Xiaofeng 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
2025CHIPrompting Generative AI with Interaction-Augmented Instructions.Leixian Shen, Haotian Li, Yifang Wang, Xing Xie, Huamin Qu
2025EMNLPMoVa: Towards Generalizable Classification of Human Morals and Values.Ziyu Chen, Junfei Sun, Chenxi Li, Tuan Dung Nguyen, Jing Yao, Xiaoyuan Yi, Xing Xie, Chenhao Tan, Lexing Xie
2025ICMLRaising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing.Han Jiang, Xiaoyuan Yi, Zhihua Wei, Ziang Xiao, Shu Wang, Xing Xie
2025IROSA Bio-inspired Robotic Electric Ray Design of Multimodal Locomotion with Grasping Function.Yuyang Mo, Xing Xie, Zicun Hong, Huiping Zhuang, Yong Zhong
2025KDDBenchmarking and Defending against Indirect Prompt Injection Attacks on Large Language Models.Jingwei Yi, Yueqi Xie, Bin Zhu, Emre Kiciman, Guangzhong Sun, Xing Xie, Fangzhao Wu
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
2025WWWAdversarial Style Augmentation via Large Language Model for Robust Fake News Detection.Sungwon Park, Sungwon Han, Xing Xie, Jae-Gil Lee, Meeyoung Cha
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
2024ACLOn the Vulnerability of Safety Alignment in Open-Access LLMs.Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
2024ACLKIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models.Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang
2024ECCVSpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.Xixu Hu, Runkai Zheng, Jindong Wang, Cheuk Hang Leung, Qi Wu, Xing Xie
2024ECCVIRGen: Generative Modeling for Image Retrieval.Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo
2024EMNLPNegating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization.Shitong Duan, Xiaoyuan Yi, Peng Zhang, Yan Liu, Zheng Liu, Tun Lu, Xing Xie, Ning Gu
2024ICLRUnderstanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.Hao Chen, Jindong Wang, Ankit Shah, Ran Tao, Hongxin Wei, Xing Xie, Masashi Sugiyama, Bhiksha Raj
2024ICLRDenevil: towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning.Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
2024ICLRPandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
2024ICLRSupervised Knowledge Makes Large Language Models Better In-context Learners.Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
2024ICLRFoundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.Peiyan Zhang, Haoyang Liu, Chaozhuo Li, Xing Xie, Sunghun Kim, Haohan Wang
2024ICLRDyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks.Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie
2024ICMLA General Framework for Learning from Weak Supervision.Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj
2024ICMLPosition: TrustLLM: Trustworthiness in Large Language Models.Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
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
2024ICMLCompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents.Qinlin Zhao, Jindong Wang, Yixuan Zhang, Yiqiao Jin, Kaijie Zhu, Hao Chen, Xing Xie
2024ICMLDynamic Evaluation of Large Language Models by Meta Probing Agents.Kaijie Zhu, Jindong Wang, Qinlin Zhao, Ruochen Xu, Xing Xie
2024IGARSSEnhancing Inter-Class Discrimination for Domain Adaptation of Change Detection.Xueting Zhang, Xin Huang, Jiayi Li, Jie Yang, Leiguang Wang, Xing Xie
2024IJCAIOn the Essence and Prospect: An Investigation of Alignment Approaches for Big Models.Xinpeng Wang, Shitong Duan, Xiaoyuan Yi, Jing Yao, Shanlin Zhou, Zhihua Wei, Peng Zhang, Dongkuan Xu, Maosong Sun, Xing Xie
2024KDDRecExplainer: Aligning Large Language Models for Explaining Recommendation Models.Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024NAACLValue FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Value.Jing Yao, Xiaoyuan Yi, Yifan Gong, Xiting Wang, Xing Xie
2024WWWMS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Tao Shen, Kun Zhou, Chenyan Xiong, Yeyun Gong, Paul N. Bennett, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Nikhil Rao, Anlei Dong, Wenqi Jiang, Zheng Liu, Mingqin Li, Chuanjie Liu, Zengzhong Li, Rangan Majumder, Jennifer Neville, Andy Oakley, Knut Magne Risvik, Harsha Vardhan Simhadri, Manik Varma, Yujing Wang, Linjun Yang, Mao Yang, Ce Zhang
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
2024WWWHigh-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text Attributed Graphs.Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
2023AAAIPrototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.Yiqiao Jin, Xiting Wang, Yaru Hao, Yizhou Sun, Xing Xie
2023ACLTo Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie
2023ACLDuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.Yuxi Feng, Xiaoyuan Yi, Xiting Wang, Laks V. S. Lakshmanan, Xing Xie
2023ACLAre You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu, Guangzhong Sun, Xing Xie
2023ACLGLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang
2023CIKMAdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jae Boum Kim, Kai Zhang, Senzhang Wang, Xing Xie, Sunghun Kim
2023CIKMNon-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen
2023EMNLPToViLaG: Your Visual-Language Generative Model is Also An Evildoer.Xinpeng Wang, Xiaoyuan Yi, Han Jiang, Shanlin Zhou, Zhihua Wei, Xing Xie
2023EMNLPLongtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.Junhan Yang, Zheng Liu, Chaozhuo Li, Guangzhong Sun, Xing Xie
2023ICCVTowards Attack-tolerant Federated Learning via Critical Parameter Analysis.Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023ICCVImproving Generalization of Adversarial Training via Robust Critical Fine-Tuning.Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang
2023ICDEA Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.Qingyu Guo, Fuzhen Zhuang, Chuan Qin, Hengshu Zhu, Xing Xie, Hui Xiong, Qing He
2023ICLRLearning on Large-scale Text-attributed Graphs via Variational Inference.Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang
2023ICLRSoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Jindong Wang, Bernt Schiele, Xing Xie, Bhiksha Raj, Marios Savvides
2023ICLROut-of-distribution Representation Learning for Time Series Classification.Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie
2023ICLRFreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie
2023ICLRUnified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
2023IJCAIKEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation.Yuxi Feng, Xiaoyuan Yi, Laks V. S. Lakshmanan, Xing Xie
2023IJCAIFedSampling: A Better Sampling Strategy for Federated Learning.Tao Qi, Fangzhao Wu, Lingjuan Lyu, Yongfeng Huang, Xing Xie
2023KDDFedDefender: Client-Side Attack-Tolerant Federated Learning.Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha
2023KDDMUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.Hao Liao, Jiahao Peng, Zhanyi Huang, Wei Zhang, Guanghua Li, Kai Shu, Xing Xie
2023KDDGeneralizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.Xin Qin, Jindong Wang, Shuo Ma, Wang Lu, Yongchun Zhu, Xing Xie, Yiqiang Chen
2023KDDPASS: Personalized Advertiser-aware Sponsored Search.Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023KDDTrustworthy Machine Learning: Robustness, Generalization, and Interpretability.Jindong Wang, Haoliang Li, Haohan Wang, Sinno Jialin Pan, Xing Xie
2023KDDA Causality Inspired Framework for Model Interpretation.Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
2023KDDUA-FedRec: Untargeted Attack on Federated News Recommendation.Jingwei Yi, Fangzhao Wu, Bin Zhu, Jing Yao, Zhulin Tao, Guangzhong Sun, Xing Xie
2023KDDDomain-Specific Risk Minimization for Domain Generalization.Yifan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
2023WWWDualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.Sungwon Han, SeungEon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha
2023WWWTowards Explainable Collaborative Filtering with Taste Clusters Learning.Yuntao Du, Jianxun Lian, Jing Yao, Xiting Wang, Mingqi Wu, Lu Chen, Yunjun Gao, Xing Xie
2023WWWCooperative Retriever and Ranker in Deep Recommenders.Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
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
2023SIGIRMulti-Grained Topological Pre-Training of Language Models in Sponsored Search.Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang
2023SIGIRContinual Learning on Dynamic Graphs via Parameter Isolation.Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Senzhang Wang, Xing Xie, Guojie Song, Sunghun Kim
2023SIGIRBeyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.Yi Zhao, Chaozhuo Li, Jiquan Peng, Xiaohan Fang, Feiran Huang, Senzhang Wang, Xing Xie, Jibing Gong
2023WSDMA Tutorial on Domain Generalization.Jindong Wang, Haoliang Li, Sinno Jialin Pan, Xing Xie
2023WSDMEfficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.Peiyan Zhang, Jiayan Guo, Chaozhuo Li, Yueqi Xie, Jaeboum Kim, Yan Zhang, Xing Xie, Haohan Wang, Sunghun Kim
2022AAAITowards Fine-Grained Reasoning for Fake News Detection.Yiqiao Jin, Xiting Wang, Ruichao Yang, Yizhou Sun, Wei Wang, Hao Liao, Xing Xie
2022CIKMEvolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.Jiayan Guo, Peiyan Zhang, Chaozhuo Li, Xing Xie, Yan Zhang, Sunghun Kim
2022CIKMKnowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates.Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun
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
2022ECCVFedX: Unsupervised Federated Learning with Cross Knowledge Distillation.Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xing Xie, Meeyoung Cha
2022EMNLPRecurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation.Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
2022EMNLPGenerating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu
2022EMNLPEvade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention.Wenhao Li, Xiaoyuan Yi, Jinyi Hu, Maosong Sun, Xing Xie
2022EMNLPA Joint Learning Framework for Restaurant Survival Prediction and Explanation.Xin Li, Xiaojie Zhang, Peng Jia, Rui Mao, Ming-Yang Zhou, Xing Xie, Hao Liao
2022EMNLPRAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.Zhoujin Tian, Chaozhuo Li, Shuo Ren, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Denvy Deng, Qi Zhang, Xing Xie
2022EMNLPEffective and Efficient Query-aware Snippet Extraction for Web Search.Jingwei Yi, Fangzhao Wu, Chuhan Wu, Xiaolong Huang, Binxing Jiao, Guangzhong Sun, Xing Xie
2022ICMLHousE: Knowledge Graph Embedding with Householder Parameterization.Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang
2022IJCAIClickbait Detection via Contrastive Variational Modelling of Text and Label.Xiaoyuan Yi, Jiarui Zhang, Wenhao Li, Xiting Wang, Xing Xie
2022KDDPersonalized Chit-Chat Generation for Recommendation Using External Chat Corpora.Changyu Chen, Xiting Wang, Xiaoyuan Yi, Fangzhao Wu, Xing Xie, Rui Yan
2022KDDNo One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.Ruixuan Liu, Fangzhao Wu, Chuhan Wu, Yanlin Wang, Lingjuan Lyu, Hong Chen, Xing Xie
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
2022KDDFedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling.Chuhan Wu, Fangzhao Wu, Tao Qi, Yongfeng Huang, Xing Xie
2022KDDTraining Large-Scale News Recommenders with Pretrained Language Models in the Loop.Shitao Xiao, Zheng Liu, Yingxia Shao, Tao Di, Bhuvan Middha, Fangzhao Wu, Xing Xie
2022KDDReinforcement Subgraph Reasoning for Fake News Detection.Ruichao Yang, Xiting Wang, Yiqiao Jin, Chaozhuo Li, Jianxun Lian, Xing Xie
2022KDDUni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie
2022NAACLFuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation.Jinyi Hu, Xiaoyuan Yi, Wenhao Li, Maosong Sun, Xing Xie
2022WWWMINDSim: User Simulator for News Recommenders.Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie, Dongsheng Li
2022WWWMulti-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie
2022WWWFeedRec: News Feed Recommendation with Various User Feedbacks.Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
2022WWWProgressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, 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
2022SIGIRForest-based Deep Recommender.Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
2022SIGIRProFairRec: Provider Fairness-aware News Recommendation.Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2022SIGIRDistill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
2022SIGIRGeometric Disentangled Collaborative Filtering.Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang
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
2021AAAIFairness-aware News Recommendation with Decomposed Adversarial Learning.Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie
2021ACLPENS: A Dataset and Generic Framework for Personalized News Headline Generation.Xiang Ao, Xiting Wang, Ling Luo, Ying Qiao, Qing He, Xing Xie
2021ACLHieRec: Hierarchical User Interest Modeling for Personalized News Recommendation.Tao Qi, Fangzhao Wu, Chuhan Wu, Peiru Yang, Yang Yu, Xing Xie, Yongfeng Huang
2021EMNLPLeveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.Shuxian Bi, Chaozhuo Li, Xiao Han, Zheng Liu, Xing Xie, Haizhen Huang, Zengxuan Wen
2021EMNLPUni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2021EMNLPMatching-oriented Embedding Quantization For Ad-hoc Retrieval.Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021EMNLPEfficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.Jingwei Yi, Fangzhao Wu, Chuhan Wu, Ruixuan Liu, Guangzhong Sun, Xing Xie
2021IJCAILearning Groupwise Explanations for Black-Box Models.Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie
2021IJCAIUser-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation.Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2021KDDReinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.Danyang Liu, Jianxun Lian, Zheng Liu, Xiting Wang, Guangzhong Sun, Xing Xie
2021KDDReinforcing Pretrained Models for Generating Attractive Text Advertisements.Xiting Wang, Xinwei Gu, Jie Cao, Zihua Zhao, Yulan Yan, Bhuvan Middha, Xing Xie
2021WWWGraph Structure Estimation Neural Networks.Ruijia Wang, Shuai Mou, Xiao Wang, Wanpeng Xiao, Qi Ju, Chuan Shi, 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
2021SIGIRAdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, Qi Zhang
2021SIGIRSelf-supervised Graph Learning for Recommendation.Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2020ACCVReal-Time Spatio-Temporal Action Localization via Learning Motion Representation.Yuanzhong Liu, Zhigang Tu, Liyu Lin, Xing Xie, Qianqing Qin
2020ACLGraph Neural News Recommendation with Unsupervised Preference Disentanglement.Linmei Hu, Siyong Xu, Chen Li, Cheng Yang, Chuan Shi, Nan Duan, Xing Xie, Ming Zhou
2020ACLFine-grained Interest Matching for Neural News Recommendation.Heyuan Wang, Fangzhao Wu, Zheng Liu, 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
2020EMNLPPrivacy-Preserving News Recommendation Model Learning.Tao Qi, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2020EMNLPPTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.Chuhan Wu, Fangzhao Wu, Tao Qi, Jianxun Lian, Yongfeng Huang, Xing Xie
2020IJCAITowards Explainable Conversational Recommendation.Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen
2020KDDGeography-Aware Sequential Location Recommendation.Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen
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
2020SIGIRLeveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.Kangzhi Zhao, Xiting Wang, Yuren Zhang, Li Zhao, Zheng Liu, Chunxiao Xing, Xing Xie
2019AAAIExplainable Recommendation through Attentive Multi-View Learning.Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie
2019AAAISession-Based Recommendation with Graph Neural Networks.Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan
2019AAAIDRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie
2019ACLNeural News Recommendation with Long- and Short-term User Representations.Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie
2019ACLExploring Sequence-to-Sequence Learning in Aspect Term Extraction.Dehong Ma, Sujian Li, Fangzhao Wu, Xing Xie, Houfeng Wang
2019ACLNeural News Recommendation with Topic-Aware News Representation.Chuhan Wu, Fangzhao Wu, Mingxiao An, Yongfeng Huang, 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
2019CIKMNICE: Neural In-Hospital Cost Estimation from Medical Records.Chuhan Wu, Fangzhao Wu, Yongfeng Huang, Xing Xie
2019CIKMSentiment Lexicon Enhanced Neural Sentiment Classification.Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie
2019CIKMARP: Aspect-aware Neural Review Rating Prediction.Chuhan Wu, Fangzhao Wu, Junxin Liu, Yongfeng Huang, Xing Xie
2019CIKMNeural Gender Prediction in Microblogging with Emotion-aware User Representation.Chuhan Wu, Fangzhao Wu, Tao Qi, Junxin Liu, Yongfeng Huang, 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
2019CIKMNeural Review Rating Prediction with User and Product Memory.Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019DASFAANeural Review Rating Prediction with Hierarchical Attentions and Latent Factors.Xianchen Wang, Hongtao Liu, Peiyi Wang, Fangzhao Wu, Hongyan Xu, Wenjun Wang, Xing Xie
2019EMNLPNeural News Recommendation with Heterogeneous User Behavior.Chuhan Wu, Fangzhao Wu, Mingxiao An, Tao Qi, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019EMNLPNeural News Recommendation with Multi-Head Self-Attention.Chuhan Wu, Fangzhao Wu, Suyu Ge, Tao Qi, Yongfeng Huang, Xing Xie
2019EMNLPReviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network.Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, Xing Xie
2019ICDMCAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie
2019ICMLTowards a Deep and Unified Understanding of Deep Neural Models in NLP.Chaoyu Guan, Xiting Wang, Quanshi Zhang, Runjin Chen, Di He, Xing Xie
2019IJCAICo-Attentive Multi-Task Learning for Explainable Recommendation.Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen
2019IJCAIHi-Fi Ark: Deep User Representation via High-Fidelity Archive Network.Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie
2019IJCAIPersonalized Multimedia Item and Key Frame Recommendation.Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang
2019IJCAINeural News Recommendation with Attentive Multi-View Learning.Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, 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
2019KDDNPA: Neural News Recommendation with Personalized Attention.Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie
2019WWWNeural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization.Junxin Liu, Fangzhao Wu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019WWWKnowledge Graph Convolutional Networks for Recommender Systems.Hongwei Wang, Miao Zhao, Xing Xie, Wenjie Li, Minyi Guo
2019WWWMulti-Task Feature Learning for Knowledge Graph Enhanced Recommendation.Hongwei Wang, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2019WWWNeural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation.Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2019SIGIRNRPA: Neural Recommendation with Personalized Attention.Hongtao Liu, Fangzhao Wu, Wenjun Wang, Xianchen Wang, Pengfei Jiao, Chuhan Wu, Xing Xie
2019WSDMNeural Demographic Prediction using Search Query.Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie
2019WSDMMSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention.Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie
2018AAAICD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition.Jingyuan Wang, Xu He, Ze Wang, Junjie Wu, Nicholas Jing Yuan, Xing Xie, Zhang Xiong
2018AAAIGraphGAN: Graph Representation Learning With Generative Adversarial Nets.Hongwei Wang, Jia Wang, Jialin Wang, Miao Zhao, Weinan Zhang, Fuzheng Zhang, Xing Xie, Minyi Guo
2018CIKMRippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.Hongwei Wang, Fuzheng Zhang, Jialin Wang, Miao Zhao, Wenjie Li, Xing Xie, Minyi Guo
2018COLINGHL-EncDec: A Hybrid-Level Encoder-Decoder for Neural Response Generation.Sixing Wu, Dawei Zhang, Ying Li, Xing Xie, Zhonghai Wu
2018HCIThe Application of Augmented Reality Technology in Digital Display for Intangible Cultural Heritage: The Case of Cantonese Furniture.Xing Xie, Xiaoying Tang
2018ICDMCollaborative Translational Metric Learning.Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu
2018ICDMA Reinforcement Learning Framework for Explainable Recommendation.Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie
2018ICDMNeural Sentence-Level Sentiment Classification with Heterogeneous Supervision.Zhigang Yuan, Fangzhao Wu, Junxin Liu, Chuhan Wu, Yongfeng Huang, Xing Xie
2018ICDMWhy You Should Listen to This Song: Reason Generation for Explainable Recommendation.Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian
2018IJCAITowards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.Jianxun Lian, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2018IJCAIPredicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data.Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen
2018IJCAISequential Recommender System based on Hierarchical Attention Networks.Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
2018IJCAIMOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games.Lijun Yu, Dawei Zhang, Xiangqun Chen, Xing Xie
2018KDDHigh-order Proximity Preserving Information Network Hashing.Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018KDDxDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.Jianxun Lian, Xiaohuan Zhou, Fuzheng Zhang, Zhongxia Chen, Xing Xie, Guangzhong Sun
2018KDDContext-aware Academic Collaborator Recommendation.Zheng Liu, Xing Xie, Lei Chen
2018KDDTranscribing Content from Structural Images with Spotlight Mechanism.Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu
2018PAKDDKnowledge-Based Recommendation with Hierarchical Collaborative Embedding.Zili Zhou, Shaowu Liu, Guandong Xu, Xing Xie, Jun Yin, Yidong Li, Wu Zhang
2018WWWHow to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering.Youngnam Lee, Sang-Wook Kim, Sunju Park, Xing Xie
2018WWWDKN: Deep Knowledge-Aware Network for News Recommendation.Hongwei Wang, Fuzheng Zhang, Xing Xie, Minyi Guo
2018WWWDRN: A Deep Reinforcement Learning Framework for News Recommendation.Guanjie Zheng, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, Zhenhui Li
2018SIGIRAttention-driven Factor Model for Explainable Personalized Recommendation.Jingwu Chen, Fuzhen Zhuang, Xin Hong, Xiang Ao, Xing Xie, Qing He
2018UICSpatial-Aware Deep Recommender System.Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie
2018WSDMWSDM Cup 2018: Music Recommendation and Churn Prediction.Yian Chen, Xing Xie, Shou-De Lin, Arden Chiu
2018WSDMSHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu
2017IJCAIApp Download Forecasting: An Evolutionary Hierarchical Competition Approach.Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Chuan Qin, Xing Xie
2017IJCAIUnderstanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory.Chenyi Zhuang, Nicholas Jing Yuan, Ruihua Song, Xing Xie, Qiang Ma
2017ICWSMA World of Difference: Divergent Word Interpretations Among People.Tianran Hu, Ruihua Song, Maya Abtahian, Philip Ding, Xing Xie, Jiebo Luo
2017KDDDiscrete Content-aware Matrix Factorization.Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao
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
2017WWWSequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.Fuzhen Zhuang, Yingmin Zhou, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He
2017WSDMBeyond the Words: Predicting User Personality from Heterogeneous Information.Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, Wei-Ying Ma
2016AAAILittle Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.Meng Jiang, Peng Cui, Nicholas Jing Yuan, Xing Xie, Shiqiang Yang
2016CIKMMining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data.Tianran Hu, Ruihua Song, Yingzi Wang, Xing Xie, Jiebo Luo
2016ICDMMutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong
2016ICDMRegularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie
2016ICDMAligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie
2016IJCAISparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2016ICTIRExploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.Shoaib Jameel, Yi Liao, Wai Lam, Steven Schockaert, Xing Xie
2016ICTIRWho Wants to Join Me?: Companion Recommendation in Location Based Social Networks.Yi Liao, Wai Lam, Shoaib Jameel, Steven Schockaert, Xing Xie
2016KDDContextual Intent Tracking for Personal Assistants.Yu Sun, Nicholas Jing Yuan, Yingzi Wang, Xing Xie, Kieran McDonald, Rui Zhang
2016KDDCollaborative Knowledge Base Embedding for Recommender Systems.Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma
2016WWWCollaborative Nowcasting for Contextual Recommendation.Yu Sun, Nicholas Jing Yuan, Xing Xie, Kieran McDonald, Rui Zhang
2016WWWExploiting Dining Preference for Restaurant Recommendation.Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui
2016SIGMODPrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.Jun Zhang, Xiaokui Xiao, Xing Xie
2016TrustComWhat Is My Next Job: Predicting the Company Size and Position in Career Changes.Hongyang Qu, Zhiwen Yu, Zhiyong Yu, Huang Xu, Bin Guo, Xing Xie
2016WSDMWho Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.Nicholas Jing Yuan, Yuan Zhong, Fuzheng Zhang, Xing Xie, Chin-Yew Lin, Yong Rui
2015AAAIContent-Based Collaborative Filtering for News Topic Recommendation.Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang
2015AAAIA Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data.Xuan Song, Quanshi Zhang, Yoshihide Sekimoto, Ryosuke Shibasaki, Nicholas Jing Yuan, Xing Xie
2015DBSECStream Processing with Secure Information Flow Constraints.Indrakshi Ray, Raman Adaikkalavan, Xing Xie, Rose F. Gamble
2015ICDENetwork motif discovery: A GPU approach.Wenqing Lin, Xiaokui Xiao, Xing Xie, Xiaoli Li
2015ICDEApproximate keyword search in semantic trajectory database.Bolong Zheng, Nicholas Jing Yuan, Kai Zheng, Xing Xie, Shazia Sadiq, Xiaofang Zhou
2015ICDMContent-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2015ICDMLifting the Predictability of Human Mobility on Activity Trajectories.Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun
2015ICDMMining Indecisiveness in Customer Behaviors.Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie
2015IJCAIMobile Query Recommendation via Tensor Function Learning.Zhou Zhao, Ruihua Song, Xing Xie, Xiaofei He, Yueting Zhuang
2015KDDRegularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui
2015PAKDDPredicting Smartphone Adoption in Social Networks.Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui
2015WWWLeveraging Careful Microblog Users for Spammer Detection.Hao Fu, Xing Xie, Yong Rui
2015WWWA Novelty-Seeking based Dining Recommender System.Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou
2015WSDMYou Are Where You Go: Inferring Demographic Attributes from Location Check-ins.Yuan Zhong, Nicholas Jing Yuan, Wen Zhong, Fuzheng Zhang, Xing Xie
2014EDBTPrivacy Risk in Anonymized Heterogeneous Information Networks.Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang
2014ICDMSocial Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong
2014KDDGeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui
2014PAKDDAnalyzing Location Predictability on Location-Based Social Networks.Defu Lian, Yin Zhu, Xing Xie, Enhong Chen
2014WWWDe-anonymizing social graphs via node similarity.Hao Fu, Aston Zhang, Xing Xie
2014WWWMining novelty-seeking trait across heterogeneous domains.Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie
2013DEXAUser Location Anonymization Method for Wide Distribution of Dummies.Ryo Kato, Mayu Iwata, Takahiro Hara, Yuki Arase, Xing Xie, Shojiro Nishio
2013ICDEDestination prediction by sub-trajectory synthesis and privacy protection against such prediction.Andy Yuan Xue, Rui Zhang, Yu Zheng, Xing Xie, Jin Huang, Zhenghua Xu
2013ICDMReconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.Nicholas Jing Yuan, Yingzi Wang, Fuzheng Zhang, Xing Xie, Guangzhong Sun
2013WWWCollaborative filtering meets next check-in location prediction.Defu Lian, Vincent Wenchen Zheng, Xing Xie
2012ICDEReducing Uncertainty of Low-Sampling-Rate Trajectories.Kai Zheng, Yu Zheng, Xing Xie, Xiaofang Zhou
2012KDDDiscovering regions of different functions in a city using human mobility and POIs.Jing Yuan, Yu Zheng, Xing Xie
2011CBMIInteractive social, spatial and temporal querying for multimedia retrieval.Gamhewage C. de Silva, Kiyoharu Aizawa, Yuki Arase, Xing Xie
2011DBSECMultilevel Secure Data Stream Processing.Raman Adaikkalavan, Indrakshi Ray, Xing Xie
2011KDDDiscovering spatio-temporal causal interactions in traffic data streams.Wei Liu, Yu Zheng, Sanjay Chawla, Jing Yuan, Xing Xie
2011KDDDriving with knowledge from the physical world.Jing Yuan, Yu Zheng, Xing Xie, Guangzhong Sun
2011WWWLocation relevance classification for travelogue digests.Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie
2011SIGIROn theme location discovery for travelogue services.Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie
2010AAAICollaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang
2010DASFAAAnswering Top-Chang Sheng, Yu Zheng, Wynne Hsu, Mong-Li Lee, Xing Xie
2010MDMProtecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.Neil Zhenqiang Gong, Guangzhong Sun, Xing Xie
2010MDMAn Interactive-Voting Based Map Matching Algorithm.Jing Yuan, Yu Zheng, Chengyang Zhang, Xing Xie, Guangzhong Sun
2010MDMLearning Location Correlation from GPS Trajectories.Yu Zheng, Xing Xie
2010WWWCollaborative location and activity recommendations with GPS history data.Vincent Wenchen Zheng, Yu Zheng, Xing Xie, Qiang Yang
2010SIGMODSearching trajectories by locations: an efficiency study.Zaiben Chen, Heng Tao Shen, Xiaofang Zhou, Yu Zheng, Xing Xie
2010UICDrive Smartly as a Taxi Driver.Yu Zheng, Jing Yuan, Wenlei Xie, Xing Xie, Guangzhong Sun
2010UICSmart Itinerary Recommendation Based on User-Generated GPS Trajectories.Hyoseok Yoon, Yu Zheng, Xing Xie, Woontack Woo
2009CVPRVocabulary hierarchy optimization for effective and transferable retrieval.Rongrong Ji, Xing Xie, Hongxun Yao, Wei-Ying Ma
2009MDMMining Individual Life Pattern Based on Location History.Yang Ye, Yu Zheng, Yukun Chen, Jianhua Feng, Xing Xie
2009MDMGeoLife2.0: A Location-Based Social Networking Service.Yu Zheng, Yukun Chen, Xing Xie, Wei-Ying Ma
2009WWWA game based approach to assign geographical relevance to web images.Yuki Arase, Xing Xie, Manni Duan, Takahiro Hara, Shojiro Nishio
2009WWWMining interesting locations and travel sequences from GPS trajectories.Yu Zheng, Lizhu Zhang, Xing Xie, Wei-Ying Ma
2008MDMA Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval.Longhao Wang, Yu Zheng, Xing Xie, Wei-Ying Ma
2008MDMGeoLife: Managing and Understanding Your Past Life over Maps.Yu Zheng, Longhao Wang, Ruochi Zhang, Xing Xie, Wei-Ying Ma
2008WWWDiscovering co-located queries in geographic search logs.Xiangye Xiao, Longhao Wang, Xing Xie, Qiong Luo
2008WWWLearning transportation mode from raw gps data for geographic applications on the web.Yu Zheng, Like Liu, Longhao Wang, Xing Xie
2007DEXAComputing Geographical Serving Area Based on Search Logs and Website Categorization.Qi Zhang, Xing Xie, Lee Wang, Lihua Yue, Wei-Ying Ma
2006CIKMA comparative study on classifying the functions of web page blocks.Xiangye Xiao, Qiong Luo, Xing Xie, Wei-Ying Ma
2006MDMDetecting The Sufficient Display Resolution For Image Browsing.Xin Fan, Xing Xie, Wei-Ying Ma
2006MDMPhoto-to-Search: Using Camera Phones to Inquire of the Surrounding World.Menglei Jia, Xin Fan, Xing Xie, Mingjing Li, Wei-Ying Ma
2005CHILearning user interest for image browsing on small-form-factor devices.Xing Xie, Hao Liu, Simon Goumaz, Wei-Ying Ma
2005CIKMHybrid index structures for location-based web search.Yinghua Zhou, Xing Xie, Chuang Wang, Yuchang Gong, Wei-Ying Ma
2005MMMASAP: A Synchronous Approach for Photo Sharing across Multiple Devices.Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005PERCOMEfficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model.Xing Xie, Gengxin Miao, Ruihua Song, Ji-Rong Wen, Wei-Ying Ma
2005WWWRepresenting personal web information using a topic-oriented interface.Zhigang Hua, Hao Liu, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005WWWWeb resource geographic location classification and detection.Chuang Wang, Xing Xie, Lee Wang, Yansheng Lu, Wei-Ying Ma
2005SIGIRDetecting dominant locations from search queries.Lee Wang, Chuang Wang, Xing Xie, Josh Forman, Yansheng Lu, Wei-Ying Ma, Ying Li
2004UISTCollapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content.Patrick Baudisch, Xing Xie, Chong Wang, Wei-Ying Ma
2003MMMImage Adaptation Based on Attention Model for Small-Form-Factor Device.Li-Qun Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou
2003WWWDRESS: A Slicing Tree Based Web Page Representation for Various Display Sizes.Li-Qun Chen, Xing Xie, Wei-Ying Ma, HongJiang Zhang, He-Qin Zhou, Huanqing Feng
2003WWWMedia Companion: Delivering Content-oriented Web Services to Internet Media.Wei-Ying Ma, Xing Xie, Chun Yuan, Yu Chen, Zheng Zhang, HongJiang Zhang