Chuhan Wu

Orcid: 0000-0001-5730-8792

According to our database1, Chuhan Wu authored at least 147 papers between 2017 and 2024.

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

Timeline

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Bibliography

2024
Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty.
Dataset, March, 2024

CogAware: Cognition-Aware framework for sentiment analysis with textual representations.
Knowl. Based Syst., 2024

Beyond Utility: Evaluating LLM as Recommender.
CoRR, 2024

StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs.
CoRR, 2024

RevisEval: Improving LLM-as-a-Judge via Response-Adapted References.
CoRR, 2024

ToolACE: Winning the Points of LLM Function Calling.
CoRR, 2024

Performance Law of Large Language Models.
CoRR, 2024

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era.
CoRR, 2024

Entropy Law: The Story Behind Data Compression and LLM Performance.
CoRR, 2024

Revisiting the Efficacy of Signal Decomposition in AI-based Time Series Prediction.
CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.
CoRR, 2024

Adaptive and robust watermark against model extraction attack.
CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.
CoRR, 2024

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.
CoRR, 2024

Multimodal Pretraining and Generation for Recommendation: A Tutorial.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

A Tutorial on Feature Interpretation in Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

CIMTD: Class Incremental Multi-Teacher Knowledge Distillation for Fractal Object Detection.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Confidence-Aware Multi-Field Model Calibration.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Learning to Edit: Aligning LLMs with Knowledge Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
BART-based contrastive and retrospective network for aspect-category-opinion-sentiment quadruple extraction.
Int. J. Mach. Learn. Cybern., September, 2023

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

Architecture Alternative Deep Multi-View Clustering.
IEEE Signal Process. Lett., 2023

Semi-supervised named entity recognition in multi-level contexts.
Neurocomputing, 2023

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.
CoRR, 2023

Contrastive Multi-view Framework for Customer Lifetime Value Prediction.
CoRR, 2023

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation.
Proceedings of the Companion 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

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

A Token-wise Graph-based Framework for Multimodal Named Entity Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

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

Enhancing structure modeling for relation extraction with fine-grained gating and co-attention.
Neurocomputing, 2022

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial 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

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

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

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

2021
In-hospital resource utilization prediction from electronic medical records with deep learning.
Knowl. Based 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

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

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

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

Named Entity Recognition in Multi-level Contexts.
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

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

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

Legends of Nature and Editors-in-chief.
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

Detecting and Extracting of Adverse Drug Reaction Mentioning Tweets with Multi-Head Self Attention.
Proceedings of the Fourth Social Media Mining for Health Application Workshop & Shared Task, 2019

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

THU_NGN at SemEval-2019 Task 12: Toponym Detection and Disambiguation on Scientific Papers.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

THU_NGN at SemEval-2019 Task 3: Dialog Emotion Classification using Attentional LSTM-CNN.
Proceedings of the 13th International Workshop on Semantic Evaluation, 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

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 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 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

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

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

Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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

Distant Supervision for Relation Extraction with Neural Instance Selector.
Proceedings of the Natural Language Processing and Chinese Computing, 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
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


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