Fangzhao Wu

Orcid: 0000-0001-9138-1272

According to our database1, Fangzhao Wu authored at least 173 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Measuring Human Contribution in AI-Assisted Content Generation.
CoRR, 2024

Uncovering Safety Risks in Open-source LLMs through Concept Activation Vector.
CoRR, 2024

On the Vulnerability of Safety Alignment in Open-Access LLMs.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

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

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

Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher.
CoRR, 2023

Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias.
CoRR, 2023

GAIN: Enhancing Byzantine Robustness in Federated Learning with Gradient Decomposition.
CoRR, 2023

A Survey on Federated Recommendation Systems.
CoRR, 2023

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

Federated Unlearning for On-Device Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

UA-FedRec: Untargeted Attack on Federated News Recommendation.
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

Personalized Federated Learning with Inferred Collaboration Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting.
Proceedings of the International Conference on Machine Learning, 2023

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

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

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

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

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

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

Unified and Effective Ensemble Knowledge Distillation.
CoRR, 2022

FairRank: Fairness-aware Single-tower Ranking Framework for News Recommendation.
CoRR, 2022

End-to-end Learnable Diversity-aware News Recommendation.
CoRR, 2022

Semi-FairVAE: Semi-supervised Fair Representation Learning with Adversarial Variational Autoencoder.
CoRR, 2022

Are Big Recommendation Models Fair to Cold Users?
CoRR, 2022

Quality-aware News Recommendation.
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

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

MM-Rec: Visiolinguistic Model Empowered Multimodal 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

Is News Recommendation a Sequential Recommendation Task?
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

UserBERT: Pre-training User Model with Contrastive Self-supervision.
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

FUM: Fine-grained and Fast User Modeling for 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

News Recommendation with Candidate-aware User Modeling.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

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

Rethinking InfoNCE: How Many Negative Samples Do You Need?
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning.
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

Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Protecting Intellectual Property of Language Generation APIs with Lexical Watermark.
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

Toward Comprehensive User and Item Representations via Three-tier Attention Network.
ACM Trans. Inf. Syst., 2021

Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation.
CoRR, 2021

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

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

Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer.
CoRR, 2021

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

Is News Recommendation a Sequential Recommendation Task?
CoRR, 2021

Personalized News Recommendation: A Survey.
CoRR, 2021

DebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning.
CoRR, 2021

Killing Two Birds with One Stone: Stealing Model and Inferring Attribute from BERT-based APIs.
CoRR, 2021

MM-Rec: Multimodal News Recommendation.
CoRR, 2021

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

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

FeedRec: News Feed Recommendation with Various User Feedbacks.
CoRR, 2021

Empowering News Recommendation with Pre-trained Language Models.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Joint Knowledge Pruning and Recurrent Graph Convolution for News Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Personalized News Recommendation with Knowledge-aware Interactive Matching.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DA-Transformer: Distance-aware Transformer.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

User-as-Graph: User Modeling with Heterogeneous Graph Pooling for News Recommendation.
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

NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 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

Hi-Transformer: Hierarchical Interactive Transformer for Efficient and Effective Long Document Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

One Teacher is Enough? Pre-trained Language Model Distillation from Multiple Teachers.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 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

PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity.
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
Detecting Entities of Works for Chinese Chatbot.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Hybrid neural recommendation with joint deep representation learning of ratings and reviews.
Neurocomputing, 2020

Improving Attention Mechanism with Query-Value Interaction.
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

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

Graph Enhanced Representation Learning for News Recommendation.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

SentiRec: Sentiment Diversity-aware Neural News Recommendation.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

User Modeling with Click Preference and Reading Satisfaction for News 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

A Multi-Task Learning Neural Network for Emotion-Cause Pair Extraction.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Clickbait Detection with Style-Aware Title Modeling and Co-attention.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

Named Entity Recognition with Context-Aware Dictionary Knowledge.
Proceedings of the Chinese Computational Linguistics - 19th China National Conference, CCL 2020, Hainan, China, October 30, 2020

Attentive Pooling with Learnable Norms for Text Representation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 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

2019
Aspect-based sentiment analysis via fusing multiple sources of textual knowledge.
Knowl. Based Syst., 2019

Semi-supervised dimensional sentiment analysis with variational autoencoder.
Knowl. Based Syst., 2019

Neural Chinese word segmentation with dictionary.
Neurocomputing, 2019

Automatic construction of target-specific sentiment lexicon.
Expert Syst. Appl., 2019

Logic Rules Powered Knowledge Graph Embedding.
CoRR, 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

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

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

Hierarchical User and Item Representation with Three-Tier Attention for Recommendation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

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

Neural News Recommendation with Attentive Multi-View Learning.
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

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

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

REKA: Relation Extraction with Knowledge-Aware Attention.
Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding, 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

2018
Domain attention model for multi-domain sentiment classification.
Knowl. Based Syst., 2018

A hybrid unsupervised method for aspect term and opinion target extraction.
Knowl. Based Syst., 2018

Skeptical Deep Learning with Distribution Correction.
CoRR, 2018

Detecting Tweets Mentioning Drug Name and Adverse Drug Reaction with Hierarchical Tweet Representation and Multi-Head Self-Attention.
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

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

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.
Proceedings of the IEEE International Conference on Data Mining, 2018

Neural Sentence-Level Sentiment Classification with Heterogeneous Supervision.
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

Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Imbalanced Sentiment Classification with Multi-Task Learning.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Neural Metaphor Detecting with CNN-LSTM Model.
Proceedings of the Workshop on Figurative Language Processing, 2018

2017
Collaboratively Training Sentiment Classifiers for Multiple Domains.
IEEE Trans. Knowl. Data Eng., 2017

Domain-specific sentiment classification via fusing sentiment knowledge from multiple sources.
Inf. Fusion, 2017

Sentence-level Sentiment Classification with Weak Supervision.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

THU_NGN at IJCNLP-2017 Task 2: Dimensional Sentiment Analysis for Chinese Phrases with Deep LSTM.
Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017

Active Sentiment Domain Adaptation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Microblog sentiment classification with heterogeneous sentiment knowledge.
Inf. Sci., 2016

Co-detecting social spammers and spam messages in microblogging via exploiting social contexts.
Neurocomputing, 2016

Structured microblog sentiment classification via social context regularization.
Neurocomputing, 2016

Towards building a high-quality microblog-specific Chinese sentiment lexicon.
Decis. Support Syst., 2016

Sentiment Domain Adaptation with Multi-Level Contextual Sentiment Knowledge.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Sentiment Domain Adaptation with Multiple Sources.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Personalized Microblog Sentiment Classification via Multi-Task Learning.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Collaborative Multi-domain Sentiment Classification.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Social Spammer and Spam Message Co-Detection in Microblogging with Social Context Regularization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Microblog Sentiment Classification with Contextual Knowledge Regularization.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
OpinionFlow: Visual Analysis of Opinion Diffusion on Social Media.
IEEE Trans. Vis. Comput. Graph., 2014

Ranking Optimization with Constraints.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
Lead-lag analysis via sparse co-projection in correlated text streams.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Review rating prediction based on the content and weighting strong social relation of reviewers.
Proceedings of the 2013 international workshop on Mining unstructured big data using natural language processing, 2013


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