Xing Xie

Affiliations:
  • Microsoft Research Asia, Beijing, China


According to our database1, Xing Xie authored at least 518 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Put Your Voice on Stage: Personalized Headline Generation for News Articles.
ACM Trans. Knowl. Discov. Data, April, 2024

Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis., January, 2024

CultureLLM: Incorporating Cultural Differences into Large Language Models.
CoRR, 2024

SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.
CoRR, 2024

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations.
CoRR, 2024

2023
Defending ChatGPT against jailbreak attack via self-reminders.
Nat. Mac. Intell., December, 2023

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
IEEE Trans. Knowl. Data Eng., October, 2023

Network Representation Lightening From Hashing to Quantization.
IEEE Trans. Knowl. Data Eng., May, 2023

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering.
ACM Trans. Inf. Syst., April, 2023

CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
ACM Trans. Intell. Syst. Technol., April, 2023

Personalized News Recommendation: Methods and Challenges.
ACM Trans. Inf. Syst., January, 2023

Reinforcement Routing on Proximity Graph for Efficient Recommendation.
ACM Trans. Inf. Syst., January, 2023

FedCLIP: Fast Generalization and Personalization for CLIP in Federated Learning.
IEEE Data Eng. Bull., 2023

Supervised Knowledge Makes Large Language Models Better In-context Learners.
CoRR, 2023

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.
CoRR, 2023

The Good, The Bad, and Why: Unveiling Emotions in Generative AI.
CoRR, 2023

PromptBench: A Unified Library for Evaluation of Large Language Models.
CoRR, 2023

Control Risk for Potential Misuse of Artificial Intelligence in Science.
CoRR, 2023

CDEval: A Benchmark for Measuring the Cultural Dimensions of Large Language Models.
CoRR, 2023

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability.
CoRR, 2023

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations.
CoRR, 2023

Value FULCRA: Mapping Large Language Models to the Multidimensional Spectrum of Basic Human Values.
CoRR, 2023

Unpacking the Ethical Value Alignment in Big Models.
CoRR, 2023

CompeteAI: Understanding the Competition Behaviors in Large Language Model-based Agents.
CoRR, 2023

Evaluating General-Purpose AI with Psychometrics.
CoRR, 2023

A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.
CoRR, 2023

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning.
CoRR, 2023

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.
CoRR, 2023

ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning.
CoRR, 2023

Meta Semantic Template for Evaluation of Large Language Models.
CoRR, 2023

DyVal: Graph-informed Dynamic Evaluation of Large Language Models.
CoRR, 2023

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks.
CoRR, 2023

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations.
CoRR, 2023

Can Transformer and GNN Help Each Other?
CoRR, 2023

From Instructions to Intrinsic Human Values - A Survey of Alignment Goals for Big Models.
CoRR, 2023

Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models.
CoRR, 2023

ConvFormer: Revisiting Transformer for Sequential User Modeling.
CoRR, 2023

Frustratingly Easy Model Generalization by Dummy Risk Minimization.
CoRR, 2023

DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization.
CoRR, 2023

EmotionPrompt: Leveraging Psychology for Large Language Models Enhancement via Emotional Stimulus.
CoRR, 2023

A Survey on Evaluation of Large Language Models.
CoRR, 2023

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR, 2023

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts.
CoRR, 2023

Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations.
CoRR, 2023

IRGen: Generative Modeling for Image Retrieval.
CoRR, 2023

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
CoRR, 2023

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning.
CoRR, 2023

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction.
Proceedings of the ACM Web Conference 2023, 2023

Distillation from Heterogeneous Models for Top-K Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Cooperative Retriever and Ranker in Deep Recommenders.
Proceedings of the ACM Web Conference 2023, 2023

Towards Explainable Collaborative Filtering with Taste Clusters Learning.
Proceedings of the ACM Web Conference 2023, 2023

DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision.
Proceedings of the ACM Web Conference 2023, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Tutorial on Domain Generalization.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Beyond the Overlapping Users: Cross-Domain Recommendation via Adaptive Anchor Link Learning.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Continual Learning on Dynamic Graphs via Parameter Isolation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

Domain-Specific Risk Minimization for Domain Generalization.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

UA-FedRec: Untargeted Attack on Federated News Recommendation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

A Causality Inspired Framework for Model Interpretation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Trustworthy Machine Learning: Robustness, Generalization, and Interpretability.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PASS: Personalized Advertiser-aware Sponsored Search.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Generalizable Low-Resource Activity Recognition with Diverse and Discriminative Representation Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

MUSER: A MUlti-Step Evidence Retrieval Enhancement Framework for Fake News Detection.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedDefender: Client-Side Attack-Tolerant Federated Learning.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedSampling: A Better Sampling Strategy for Federated Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Out-of-distribution Representation Learning for Time Series Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning on Large-scale Text-attributed Graphs via Variational Inference.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Survey on Knowledge Graph-Based Recommender Systems : Extended Abstract.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Attack-tolerant Federated Learning via Critical Parameter Analysis.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ToViLaG: Your Visual-Language Generative Model is Also An Evildoer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DuNST: Dual Noisy Self Training for Semi-Supervised Controllable Text Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Prototypical Fine-Tuning: Towards Robust Performance under Varying Data Sizes.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Conference Report: The 30th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2022) Seattle, Washington, USA November 1-4, 2022.
ACM SIGSPATIAL Special, November, 2022

Domain-invariant Feature Exploration for Domain Generalization.
Trans. Mach. Learn. Res., 2022

A Survey on Knowledge Graph-Based Recommender Systems.
IEEE Trans. Knowl. Data Eng., 2022

FedCTR: Federated Native Ad CTR Prediction with Cross-platform User Behavior Data.
ACM Trans. Intell. Syst. Technol., 2022

A Generic Construction of Designated Verifier Signature from Standard Cryptographic Algorithms.
J. Inf. Sci. Eng., 2022

Graph convolution machine for context-aware recommender system.
Frontiers Comput. Sci., 2022

Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization.
CoRR, 2022

FIXED: Frustratingly Easy Domain Generalization with Mixup.
CoRR, 2022

Test-Time Training for Graph Neural Networks.
CoRR, 2022

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution.
CoRR, 2022

Domain-Specific Risk Minimization.
CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.
CoRR, 2022

Equivariant Disentangled Transformation for Domain Generalization under Combination Shift.
CoRR, 2022

Geometric Interaction Augmented Graph Collaborative Filtering.
CoRR, 2022

Cooperative Retriever and Ranker in Deep Recommenders.
CoRR, 2022

Two-Stage Neural Contextual Bandits for Personalised News Recommendation.
CoRR, 2022

MetaFed: Federated Learning among Federations with Cyclic Knowledge Distillation for Personalized Healthcare.
CoRR, 2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
CoRR, 2022

A Neural Corpus Indexer for Document Retrieval.
CoRR, 2022

Negative Sampling for Contrastive Representation Learning: A Review.
CoRR, 2022

Robust Quantity-Aware Aggregation for Federated Learning.
CoRR, 2022

FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation.
CoRR, 2022

PrivateRec: Differentially Private Training and Serving for Federated News Recommendation.
CoRR, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
CoRR, 2022

A Mutually Reinforced Framework for Pretrained Sentence Embeddings.
CoRR, 2022

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.
CoRR, 2022

UA-FedRec: Untargeted Attack on Federated News Recommendation.
CoRR, 2022

Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.
CoRR, 2022

Game of Privacy: Towards Better Federated Platform Collaboration under Privacy Restriction.
CoRR, 2022

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

FeedRec: News Feed Recommendation with Various User Feedbacks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MINDSim: User Simulator for News Recommenders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Geometric Disentangled Collaborative Filtering.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ProFairRec: Provider Fairness-aware News Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Forest-based Deep Recommender.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Localized Graph Collaborative Filtering.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Neural Corpus Indexer for Document Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-explaining deep models with logic rule reasoning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Reinforcement Subgraph Reasoning for Fake News Detection.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Training Large-Scale News Recommenders with Pretrained Language Models in the Loop.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Friend Recommendations with Self-Rescaling Graph Neural Networks.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

No One Left Behind: Inclusive Federated Learning over Heterogeneous Devices.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Personalized Chit-Chat Generation for Recommendation Using External Chat Corpora.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Clickbait Detection via Contrastive Variational Modelling of Text and Label.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.
Proceedings of the International Conference on Machine Learning, 2022

Effective and Efficient Query-aware Snippet Extraction for Web Search.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Evade the Trap of Mediocrity: Promoting Diversity and Novelty in Text Generation via Concentrating Attention.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

FedX: Unsupervised Federated Learning with Cross Knowledge Distillation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Fine-Grained Reasoning for Fake News Detection.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Learning Graph Representation With Generative Adversarial Nets.
IEEE Trans. Knowl. Data Eng., 2021

Product Quantized Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2021

Discrete Matrix Factorization and Extension for Fast Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

Multi-Stage Network Embedding for Exploring Heterogeneous Edges.
ACM Trans. Knowl. Discov. Data, 2021

BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories.
IEEE Trans. Big Data, 2021

Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification.
Knowl. Based Syst., 2021

Semi-Supervised Variational User Identity Linkage via Noise-Aware Self-Learning.
CoRR, 2021

Gophormer: Ego-Graph Transformer for Node Classification.
CoRR, 2021

UserBERT: Contrastive User Model Pre-training.
CoRR, 2021

FedKD: Communication Efficient Federated Learning via Knowledge Distillation.
CoRR, 2021

Fastformer: Additive Attention Can Be All You Need.
CoRR, 2021

Localized Graph Collaborative Filtering.
CoRR, 2021

GraphFormers: GNN-nested Language Models for Linked Text Representation.
CoRR, 2021

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021

Search-oriented Differentiable Product Quantization.
CoRR, 2021

DebiasedRec: Bias-aware User Modeling and Click Prediction for Personalized News Recommendation.
CoRR, 2021

Training Microsoft News Recommenders with Pretrained Language Models in the Loop.
CoRR, 2021

Multi-Interest-Aware User Modeling for Large-Scale Sequential Recommendations.
CoRR, 2021

FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation.
CoRR, 2021

Graph Structure Estimation Neural Networks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Self-supervised Graph Learning for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Reinforcing Pretrained Models for Generating Attractive Text Advertisements.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Reinforced Anchor Knowledge Graph Generation for News Recommendation Reasoning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning Groupwise Explanations for Black-Box Models.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Matching-oriented Embedding Quantization For Ad-hoc Retrieval.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Uni-FedRec: A Unified Privacy-Preserving News Recommendation Framework for Model Training and Online Serving.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

PENS: A Dataset and Generic Framework for Personalized News Headline Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Fairness-aware News Recommendation with Decomposed Adversarial Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Hierarchical Attention Model for Social Contextual Image Recommendation.
IEEE Trans. Knowl. Data Eng., 2020

Detecting Entities of Works for Chinese Chatbot.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Sequential Recommendation via Cross-Domain Novelty Seeking Trait Mining.
J. Comput. Sci. Technol., 2020

Incorporating User-Comment Graph for Fake News Detection.
CoRR, 2020

FedCTR: Federated Native Ad CTR Prediction with Multi-Platform User Behavior Data.
CoRR, 2020

Privacy-Preserving News Recommendation Model Training via Federated Learning.
CoRR, 2020

FedNER: Privacy-preserving Medical Named Entity Recognition with Federated Learning.
CoRR, 2020

Graph Convolution Machine for Context-aware Recommender System.
CoRR, 2020

Neural news recommendation with negative feedback.
CCF Trans. Pervasive Comput. Interact., 2020

Correction to: Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2020

LightRec: A Memory and Search-Efficient Recommender System.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

KRED: Knowledge-Aware Document Representation for News Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Sampling-Decomposable Generative Adversarial Recommender.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Geography-Aware Sequential Location Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Towards Explainable Conversational Recommendation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

PTUM: Pre-training User Model from Unlabeled User Behaviors via Self-supervision.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Privacy-Preserving News Recommendation Model Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MIND: A Large-scale Dataset for News Recommendation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Fine-grained Interest Matching for Neural News Recommendation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Graph Neural News Recommendation with Unsupervised Preference Disentanglement.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Exploring High-Order User Preference on the Knowledge Graph for Recommender Systems.
ACM Trans. Inf. Syst., 2019

Personalized Reason Generation for Explainable Song Recommendation.
ACM Trans. Intell. Syst. Technol., 2019

Neural Chinese word segmentation with dictionary.
Neurocomputing, 2019

Fast and Accurate Knowledge-Aware Document Representation Enhancement for News Recommendations.
CoRR, 2019

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval.
CoRR, 2019

Special issue on recommender system.
CCF Trans. Pervasive Comput. Interact., 2019

Helpfulness-aware review based neural recommendation.
CCF Trans. Pervasive Comput. Interact., 2019

Neural Chinese Named Entity Recognition via CNN-LSTM-CRF and Joint Training with Word Segmentation.
Proceedings of the World Wide Web Conference, 2019

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation.
Proceedings of the World Wide Web Conference, 2019

Knowledge Graph Convolutional Networks for Recommender Systems.
Proceedings of the World Wide Web Conference, 2019

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization.
Proceedings of the World Wide Web Conference, 2019

MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Neural Demographic Prediction using Search Query.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

NRPA: Neural Recommendation with Personalized Attention.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Evaluating Image-Inspired Poetry Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

REKER: Relation Extraction with Knowledge of Entity and Relation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

REET: Joint Relation Extraction and Entity Typing via Multi-task Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

Neural Response Generation with Relevant Emotions for Short Text Conversation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

NPA: Neural News Recommendation with Personalized Attention.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Collaborative Metric Learning with Memory Network for Multi-Relational Recommender Systems.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural News Recommendation with Attentive Multi-View Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Personalized Multimedia Item and Key Frame Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Co-Attentive Multi-Task Learning for Explainable Recommendation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards a Deep and Unified Understanding of Deep Neural Models in NLP.
Proceedings of the 36th International Conference on Machine Learning, 2019

CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural News Recommendation with Multi-Head Self-Attention.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural News Recommendation with Heterogeneous User Behavior.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Neural Review Rating Prediction with Hierarchical Attentions and Latent Factors.
Proceedings of the Database Systems for Advanced Applications, 2019

Neural Gender Prediction from News Browsing Data.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Title-Aware Neural News Topic Prediction.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Neural CTR Prediction for Native Ad.
Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

Neural Review Rating Prediction with User and Product Memory.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Relation-Aware Graph Convolutional Networks for Agent-Initiated Social E-Commerce Recommendation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Neural Gender Prediction in Microblogging with Emotion-aware User Representation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

ARP: Aspect-aware Neural Review Rating Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Sentiment Lexicon Enhanced Neural Sentiment Classification.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

NICE: Neural In-Hospital Cost Estimation from Medical Records.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

News Graph: An Enhanced Knowledge Graph for News Recommendation.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

Fast Neural Chinese Named Entity Recognition with Multi-head Self-attention.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 2019

Neural News Recommendation with Topic-Aware News Representation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Exploring Sequence-to-Sequence Learning in Aspect Term Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Neural News Recommendation with Long- and Short-term User Representations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Explainable Recommendation through Attentive Multi-View Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Guest editorial: special issue on mobile crowdsourcing - Preface to the special issue on mobile crowdsourcing.
World Wide Web, 2018

Automatically Learning Topics and Difficulty Levels of Problems in Online Judge Systems.
ACM Trans. Inf. Syst., 2018

GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization.
ACM Trans. Inf. Syst., 2018

Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng., 2018

Scalable Content-Aware Collaborative Filtering for Location Recommendation.
IEEE Trans. Knowl. Data Eng., 2018

Image Inspired Poetry Generation in XiaoIce.
CoRR, 2018

CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition.
CoRR, 2018

Ripple Network: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
CoRR, 2018

Cross-domain novelty seeking trait mining for sequential recommendation.
CoRR, 2018

Dummy Generation Based on User-Movement Estimation for Location Privacy Protection.
IEEE Access, 2018

DRN: A Deep Reinforcement Learning Framework for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

DKN: Deep Knowledge-Aware Network for News Recommendation.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

How to Impute Missing Ratings?: Claims, Solution, and Its Application to Collaborative Filtering.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

WSDM Cup 2018: Music Recommendation and Churn Prediction.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Spatial-Aware Deep Recommender System.
Proceedings of the 2018 IEEE SmartWorld, 2018

Attention-driven Factor Model for Explainable Personalized Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Knowledge-Based Recommendation with Hierarchical Collaborative Embedding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Overview of the NLPCC 2018 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Neural Chinese Word Segmentation with Dictionary Knowledge.
Proceedings of the Natural Language Processing and Chinese Computing, 2018

Transcribing Content from Structural Images with Spotlight Mechanism.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Context-aware Academic Collaborator Recommendation.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

High-order Proximity Preserving Information Network Hashing.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

MOBA-Slice: A Time Slice Based Evaluation Framework of Relative Advantage Between Teams in MOBA Games.
Proceedings of the Computer Games - 7th Workshop, 2018

Sequential Recommender System based on Hierarchical Attention Networks.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Why You Should Listen to This Song: Reason Generation for Explainable Recommendation.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision.
Proceedings of the IEEE International Conference on Data Mining, 2018

A Reinforcement Learning Framework for Explainable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2018

Collaborative Translational Metric Learning.
Proceedings of the IEEE International Conference on Data Mining, 2018

Tweet Emoji Prediction Using Hierarchical Model with Attention.
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

GraphGAN: Graph Representation Learning With Generative Adversarial Nets.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Search by Screenshots for Universal Article Clipping in Mobile Apps.
ACM Trans. Inf. Syst., 2017

Collaborative Intent Prediction with Real-Time Contextual Data.
ACM Trans. Inf. Syst., 2017

DeepMob: Learning Deep Knowledge of Human Emergency Behavior and Mobility from Big and Heterogeneous Data.
ACM Trans. Inf. Syst., 2017

Network Motif Discovery: A GPU Approach.
IEEE Trans. Knowl. Data Eng., 2017

Prediction and Simulation of Human Mobility Following Natural Disasters.
ACM Trans. Intell. Syst. Technol., 2017

Mobile Social Multimedia Analytics in the Big Data Era: An Introduction to the Special Issue.
ACM Trans. Intell. Syst. Technol., 2017

Robust Spammer Detection in Microblogs: Leveraging User Carefulness.
ACM Trans. Intell. Syst. Technol., 2017

Representation learning via Dual-Autoencoder for recommendation.
Neural Networks, 2017

TaskMe: Toward a dynamic and quality-enhanced incentive mechanism for mobile crowd sensing.
Int. J. Hum. Comput. Stud., 2017

Sequential Transfer Learning: Cross-domain Novelty Seeking Trait Mining for Recommendation.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Restaurant Survival Analysis with Heterogeneous Information.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

CCCFNet: A Content-Boosted Collaborative Filtering Neural Network for Cross Domain Recommender Systems.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Representation Learning with Pair-wise Constraints for Collaborative Ranking.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Beyond the Words: Predicting User Personality from Heterogeneous Information.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Microsoft Research Asia at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling.
Proceedings of the Natural Language Processing and Chinese Computing, 2017

A Multifaceted Model for Cross Domain Recommendation Systems.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Discrete Content-aware Matrix Factorization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Understanding People Lifestyles: Construction of Urban Movement Knowledge Graph from GPS Trajectory.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

App Download Forecasting: An Evolutionary Hierarchical Competition Approach.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A World of Difference: Divergent Word Interpretations Among People.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

An Early Event Detection Technique with Bus GPS Data.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016
User-Service Rating Prediction by Exploring Social Users' Rating Behaviors.
IEEE Trans. Multim., 2016

Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM Trans. Intell. Syst. Technol., 2016

PicPick: a generic data selection framework for mobile crowd photography.
Pers. Ubiquitous Comput., 2016

UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile.
Data Sci. Eng., 2016

Cross-Device User Matching Based on Massive Browse Logs: The Runner-Up Solution for the 2016 CIKM Cup.
CoRR, 2016

Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region.
CoRR, 2016

Dummy-Based User Location Anonymization Under Real-World Constraints.
IEEE Access, 2016

Exploiting Dining Preference for Restaurant Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Collaborative Nowcasting for Contextual Recommendation.
Proceedings of the 25th International Conference on World Wide Web, 2016

Who Will Reply to/Retweet This Tweet?: The Dynamics of Intimacy from Online Social Interactions.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

What Is My Next Job: Predicting the Company Size and Position in Career Changes.
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016

PrivTree: A Differentially Private Algorithm for Hierarchical Decompositions.
Proceedings of the 2016 International Conference on Management of Data, 2016

Microsoft Research Asia at NTCIR-12 STC Task.
Proceedings of the 12th NTCIR Conference on Evaluation of Information Access Technologies, 2016

Collaborative Knowledge Base Embedding for Recommender Systems.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Contextual Intent Tracking for Personal Assistants.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Who Wants to Join Me?: Companion Recommendation in Location Based Social Networks.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Exploring Urban Lifestyles Using a Nonparametric Temporal Graphical Model.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Aligned Matrix Completion: Integrating Consistency and Independency in Multiple Domains.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016

A contextual collaborative approach for app usage forecasting.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Solving the data sparsity problem in destination prediction.
VLDB J., 2015

FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing.
IEEE Trans. Mob. Comput., 2015

Discovering Urban Functional ZonesUsing Latent Activity Trajectories.
IEEE Trans. Knowl. Data Eng., 2015

Sensing the Pulse of Urban Refueling Behavior: A Perspective from Taxi Mobility.
ACM Trans. Intell. Syst. Technol., 2015

When Location Meets Social Multimedia: A Survey on Vision-Based Recognition and Mining for Geo-Social Multimedia Analytics.
ACM Trans. Intell. Syst. Technol., 2015

Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information.
ACM Trans. Intell. Syst. Technol., 2015

Highlights from ACM SIGSPATIAL China chapter in 2014.
ACM SIGSPATIAL Special, 2015

An Efficient Similarity Search Framework for SimRank over Large Dynamic Graphs.
Proc. VLDB Endow., 2015

Reconstructing individual mobility from smart card transactions: a collaborative space alignment approach.
Knowl. Inf. Syst., 2015

Guest Editorial Special Issue on Mobile Crowd Sensing for IoT.
IEEE Internet Things J., 2015

Mining Location-based Social Networks: A Predictive Perspective.
IEEE Data Eng. Bull., 2015

A Novelty-Seeking based Dining Recommender System.
Proceedings of the 24th International Conference on World Wide Web, 2015

Leveraging Careful Microblog Users for Spammer Detection.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

You Are Where You Go: Inferring Demographic Attributes from Location Check-ins.
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, 2015

Product Adoption Rate Prediction: A Multi-factor View.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Predicting Smartphone Adoption in Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Mobile Query Recommendation via Tensor Function Learning.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Mining Indecisiveness in Customer Behaviors.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Lifting the Predictability of Human Mobility on Activity Trajectories.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Approximate keyword search in semantic trajectory database.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Mining consumer impulsivity from offline and online behavior.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

TaskMe: a cross-community, quality-enhanced incentive mechanism for mobile crowd sensing.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Abstract Venue Concept Detection from Location-Based Social Networks.
Proceedings of the Information Retrieval Technology, 2015

A Simulator of Human Emergency Mobility Following Disasters: Knowledge Transfer from Big Disaster Data.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Content-Based Collaborative Filtering for News Topic Recommendation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Mining Check-In History for Personalized Location Naming.
ACM Trans. Intell. Syst. Technol., 2014

Adaptive content recommendation for mobile users: Ordering recommendations using a hierarchical context model with granularity.
Pervasive Mob. Comput., 2014

Inferring social ties between users with human location history.
J. Ambient Intell. Humaniz. Comput., 2014

Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data.
Int. J. Distributed Sens. Networks, 2014

Indigenization of Urban Mobility.
CoRR, 2014

Mining novelty-seeking trait across heterogeneous domains.
Proceedings of the 23rd International World Wide Web Conference, 2014

De-anonymizing social graphs via node similarity.
Proceedings of the 23rd International World Wide Web Conference, 2014

Analyzing Location Predictability on Location-Based Social Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Location anonymization using real car trace data for location based services.
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014

Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

FlierMeet: cross-space public information reposting with mobile crowd sensing.
Proceedings of the 2014 ACM Conference on Ubiquitous Computing, 2014

Privacy Risk in Anonymized Heterogeneous Information Networks.
Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013
T-Finder: A Recommender System for Finding Passengers and Vacant Taxis.
IEEE Trans. Knowl. Data Eng., 2013

T-Drive: Enhancing Driving Directions with Taxi Drivers' Intelligence.
IEEE Trans. Knowl. Data Eng., 2013

DesTeller: A System for Destination Prediction Based on Trajectories with Privacy Protection.
Proc. VLDB Endow., 2013

Context-based microblog browsing for mobile users.
J. Ambient Intell. Smart Environ., 2013

Collaborative filtering meets next check-in location prediction.
Proceedings of the 22nd International World Wide Web Conference, 2013

Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Destination prediction by sub-trajectory synthesis and privacy protection against such prediction.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Sensing the pulse of urban refueling behavior.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

User Location Anonymization Method for Wide Distribution of Dummies.
Proceedings of the Database and Expert Systems Applications, 2013

We know how you live: exploring the spectrum of urban lifestyles.
Proceedings of the Conference on Online Social Networks, 2013

2012
Towards the taxonomy-oriented categorization of yellow pages queries.
ACM Trans. Internet Techn., 2012

Highlights from ACM SIGSPATIAL China Chapter in 2011.
ACM SIGSPATIAL Special, 2012

Social itinerary recommendation from user-generated digital trails.
Pers. Ubiquitous Comput., 2012

Inferring Taxi Status Using GPS Trajectories
CoRR, 2012

Towards mobile intelligence: Learning from GPS history data for collaborative recommendation.
Artif. Intell., 2012

Discovering regions of different functions in a city using human mobility and POIs.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Reducing Uncertainty of Low-Sampling-Rate Trajectories.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

A dummy-based anonymization method based on user trajectory with pauses.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012

2011
Recommending friends and locations based on individual location history.
ACM Trans. Web, 2011

Learning travel recommendations from user-generated GPS traces.
ACM Trans. Intell. Syst. Technol., 2011

LBSN 2010 workshop report: The Second ACM SIGSPATIAL International Workshop on Location Based Social Networks (San Jose, California - November 2, 2010).
ACM SIGSPATIAL Special, 2011

SIGSPATIAL China 2010 activity report.
ACM SIGSPATIAL Special, 2011

A conversation with MSRA researchers.
SIGKDD Explor., 2011

Vocabulary Hierarchy Optimization and Transfer for Scalable Image Search.
IEEE Multim., 2011

Location relevance classification for travelogue digests.
Proceedings of the 20th International Conference on World Wide Web, 2011

Build Intelligence from the Physical World.
Proceedings of the Web and Wireless Geographical Information Systems, 2011

Retrieving k-Nearest Neighboring Trajectories by a Set of Point Locations.
Proceedings of the Advances in Spatial and Temporal Databases, 2011

On theme location discovery for travelogue services.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Driving with knowledge from the physical world.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Discovering spatio-temporal causal interactions in traffic data streams.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Urban computing with taxicabs.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Where to find my next passenger.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

TDMA'11 workshop overview.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Collaborative activity recognition via check-in history.
Proceedings of the 2011 International Workshop on Location Based Social Networks, 2011

Learning location naming from user check-in histories.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

A greener transportation mode: flexible routes discovery from GPS trajectory data.
Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2011

Interactive social, spatial and temporal querying for multimedia retrieval.
Proceedings of the 9th International Workshop on Content-Based Multimedia Indexing, 2011

Location-Based Social Networks: Locations.
Proceedings of the Computing with Spatial Trajectories, 2011

2010
Understanding transportation modes based on GPS data for web applications.
ACM Trans. Web, 2010

A large-scale study on map search logs.
ACM Trans. Web, 2010

Welcome to SIGSPATIAL China.
ACM SIGSPATIAL Special, 2010

LBSN 2009 Workshop Report: International Workshop on Location Based Social Networks (Seattle, Washington - November 3, 2009).
ACM SIGSPATIAL Special, 2010

Estimating Mobile-Friendliness Scores of Web Pages.
IEICE Trans. Inf. Syst., 2010

Introduction to Mobile Information Retrieval.
IEEE Intell. Syst., 2010

GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory.
IEEE Data Eng. Bull., 2010

Collaborative location and activity recommendations with GPS history data.
Proceedings of the 19th International Conference on World Wide Web, 2010

Smart Itinerary Recommendation Based on User-Generated GPS Trajectories.
Proceedings of the Ubiquitous Intelligence and Computing - 7th International Conference, 2010

Drive Smartly as a Taxi Driver.
Proceedings of the Symposia and Workshops on Ubiquitous, 2010

Searching trajectories by locations: an efficiency study.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Mining people's trips from large scale geo-tagged photos.
Proceedings of the 18th International Conference on Multimedia 2010, 2010

Learning Location Correlation from GPS Trajectories.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010

An Interactive-Voting Based Map Matching Algorithm.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010

Protecting Privacy in Location-Based Services Using K-Anonymity without Cloaked Region.
Proceedings of the Eleventh International Conference on Mobile Data Management, 2010

User activity understanding from mobile phone sensors.
Proceedings of the UbiComp 2010: Ubiquitous Computing, 12th International Conference, 2010

Potential Friend Recommendation in Online Social Network.
Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

Detecting nearly duplicated records in location datasets.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

T-drive: driving directions based on taxi trajectories.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

Finding similar users using category-based location history.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

A user location anonymization method for location based services in a real environment.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

An efficient location extraction algorithm by leveraging web contextual information.
Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2010

Answering Top-<i>k</i> Similar Region Queries.
Proceedings of the Database Systems for Advanced Applications, 2010

Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Browsing on small displays by transforming Web pages into hierarchically structured subpages.
ACM Trans. Web, 2009

Coherent Phrase Model for Efficient Image Near-Duplicate Retrieval.
IEEE Trans. Multim., 2009

Mining interesting locations and travel sequences from GPS trajectories.
Proceedings of the 18th International Conference on World Wide Web, 2009

A game based approach to assign geographical relevance to web images.
Proceedings of the 18th International Conference on World Wide Web, 2009

Location sensitive indexing for image-based advertising.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Mining city landmarks from blogs by graph modeling.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

GeoLife2.0: A Location-Based Social Networking Service.
Proceedings of the MDM 2009, 2009

Mining Individual Life Pattern Based on Location History.
Proceedings of the MDM 2009, 2009

A Remote Sensing Image Segmentation Method Based on Spectral and Texture Information Fusion.
Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

Visiads: A vision-based advertising platform for camera phones.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

An online advertisement platform based on image content bidding.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, 2009

Mining correlation between locations using human location history.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

Map-matching for low-sampling-rate GPS trajectories.
Proceedings of the 17th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2009

Vocabulary hierarchy optimization for effective and transferable retrieval.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008
Mobile Search With Multimodal Queries.
Proc. IEEE, 2008

Learning transportation mode from raw gps data for geographic applications on the web.
Proceedings of the 17th International Conference on World Wide Web, 2008

Discovering co-located queries in geographic search logs.
Proceedings of the First International Workshop on Location and the Web, 2008

GeoLife: Managing and Understanding Your Past Life over Maps.
Proceedings of the 9th International Conference on Mobile Data Management (MDM 2008), 2008

A Flexible Spatio-Temporal Indexing Scheme for Large-Scale GPS Track Retrieval.
Proceedings of the 9th International Conference on Mobile Data Management (MDM 2008), 2008

Spatial pyramid mining for logo detection in natural scenes.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Vocabulary tree incremental indexing for scalable location recognition.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Visual pattern weighting for near-duplicate image retrieval.
Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Understanding mobility based on GPS data.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Density based co-location pattern discovery.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

Mining user similarity based on location history.
Proceedings of the 16th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems, 2008

Understanding User Behavior Geospatially.
Proceedings of the Contextual and Social Media Understanding and Usage, 15.06., 2008

2007
Searching One Billion Web Images by Content: Challenges and Opportunities.
Proceedings of the Multimedia Content Analysis and Mining, International Workshop, 2007

Distributed Architecture for Large Scale Image-Based Search.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Mining geographic knowledge using location aware topic model.
Proceedings of the 4th ACM Workshop On Geographic Information Retrieval, 2007

Computing Geographical Serving Area Based on Search Logs and Website Categorization.
Proceedings of the Database and Expert Systems Applications, 18th International Conference, 2007

GeoCLEF 2007: the CLEF 2007 Cross-Language Geographic Information Retrieval Track Overview.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Exploring LDA-Based Document Model for Geographic Information Retrieval.
Proceedings of the Advances in Multilingual and Multimodal Information Retrieval, 2007

MSRA Columbus at GeoCLEF2007.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

Query Parsing Task for GeoCLEF2007 Report.
Proceedings of the Working Notes for CLEF 2007 Workshop co-located with the 11th European Conference on Digital Libraries (ECDL 2007), 2007

2006
Browsing Large Pictures Under Limited Display Sizes.
IEEE Trans. Multim., 2006

Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in a Mobile Computing Environment.
IEEE Trans. Mob. Comput., 2006

Photo-to-Search: Using Camera Phones to Inquire of the Surrounding World.
Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006

Detecting The Sufficient Display Resolution For Image Browsing.
Proceedings of the 7th International Conference on Mobile Data Management (MDM 2006), 2006

Inquiring of the Sights from the Web via Camera Mobiles.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Detecting Geographical Serving Area of Web Resources.
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006

Indexing implicit locations for geographical information retrieval.
Proceedings of the 3rd ACM Workshop On Geographic Information Retrieval, 2006

MSRA Columbus at GeoCLEF 2006.
Proceedings of the Evaluation of Multilingual and Multi-modal Information Retrieval, 2006

MSRA Columbus at GeoCLEF 2006.
Proceedings of the Working Notes for CLEF 2006 Workshop co-located with the 10th European Conference on Digital Libraries (ECDL 2006), 2006

A comparative study on classifying the functions of web page blocks.
Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management, 2006

2005
An adaptive web page layout structure for small devices.
Multim. Syst., 2005

Adapting Web Pages for Small-Screen Devices.
IEEE Internet Comput., 2005

Web resource geographic location classification and detection.
Proceedings of the 14th international conference on World Wide Web, 2005

Representing personal web information using a topic-oriented interface.
Proceedings of the 14th international conference on World Wide Web, 2005

Detecting dominant locations from search queries.
Proceedings of the SIGIR 2005: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005

Efficient Browsing of Web Search Results on Mobile Devices Based on Block Importance Model.
Proceedings of the 3rd IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), 2005

ASAP: A Synchronous Approach for Photo Sharing across Multiple Devices.
Proceedings of the 11th International Conference on Multi Media Modeling (MMM 2005), 2005

Photo-to-search: using multimodal queries to search the web from mobile devices.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

AIRE: an ambient interactive and responsive environment for mobile image management.
Proceedings of the 7th Conference on Human-Computer Interaction with Mobile Devices and Services, 2005

Automatic Annotation of Location Information for WWW Images.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Detecting geographic locations from web resources.
Proceedings of the 2005 Workshop On Geographic Information Retrieval, 2005

Hybrid index structures for location-based web search.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

Learning user interest for image browsing on small-form-factor devices.
Proceedings of the 2005 Conference on Human Factors in Computing Systems, 2005

2004
Collapse-to-zoom: viewing web pages on small screen devices by interactively removing irrelevant content.
Proceedings of the 17th Annual ACM Symposium on User Interface Software and Technology, 2004

Improving Web Browsing on Small Devices Based on Table Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Automatic Synchronized Browsing of Images Across Multiple Devices.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Salient Region Detection Using Weighted Feature Maps Based on the Human Visual Attention Model.
Proceedings of the Advances in Multimedia Information Processing - PCM 2004, 5th Pacific Rim Conference on Multimedia, Tokyo, Japan, November 30, 2004

Intuitive and effective interfaces for WWW image search engines.
Proceedings of the 12th ACM International Conference on Multimedia, 2004

Effective browsing of web image search results.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

P2P Resource Pool and Its Application to Optimize Wide-Area Application Level Multicasting.
Proceedings of the 33rd International Conference on Parallel Processing Workshops (ICPP 2004 Workshops), 2004

Maximizing information throughput for multimedia browsing on small displays.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Attention model based progressive image transmission.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Clustering-Based Navigation of Image Search Results on Mobile Devices.
Proceedings of the Information Retrieval Technology, Asia Information Retrieval Symposium, 2004

2003
A visual attention model for adapting images on small displays.
Multim. Syst., 2003

Media Companion: Delivering Content-oriented Web Services to Internet Media.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

DRESS: A Slicing Tree Based Web Page Representation for Various Display Sizes.
Proceedings of the Twelfth International World Wide Web Conference - Posters, 2003

Image Adaptation Based on Attention Model for Small-Form-Factor Device.
Proceedings of the 9th International Conference on Multi-Media Modeling, 2003

MobiPicture: browsing pictures on mobile devices.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Automatic browsing of large pictures on mobile devices.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Looking into video frames on small displays.
Proceedings of the Eleventh ACM International Conference on Multimedia, 2003

Visual attention based image browsing on mobile devices.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

2002
Enabling personalization services on the edge.
Proceedings of the 10th ACM International Conference on Multimedia 2002, 2002


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