Jyun-Yu Jiang

Orcid: 0000-0002-1753-8099

According to our database1, Jyun-Yu Jiang authored at least 54 papers between 2012 and 2024.

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Bibliography

2024
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

2023
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
CoRR, 2023

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.
Proceedings of the ACM Web Conference 2023, 2023

Uncertainty Quantification for Extreme Classification.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks.
Proceedings of the Seventeenth International AAAI Conference on Web and Social Media, 2023

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation.
Proceedings of the International Conference on Machine Learning, 2023

Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Uncertainty in Extreme Multi-label Classification.
CoRR, 2022

Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

PECOS: Prediction for Enormous and Correlated Output Spaces.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Scalable Graph Representation Learning via Locality-Sensitive Hashing.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Multi-scale Human Behavior Modeling with Heterogeneous Data.
PhD thesis, 2021

Drug-Target Interaction Prediction with Graph Attention networks.
CoRR, 2021

JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites.
Bioinform., 2021

Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning.
Proceedings of the WSDM '21, 2021

Learning to Represent Human Motives for Goal-directed Web Browsing.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning.
Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Multimodal Post Attentive Profiling for Influencer Marketing.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Automatic Speaker Recognition with Limited Data.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Social Media User Geolocation via Hybrid Attention.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training.
Proceedings of the Interspeech 2020, 2020

Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Long Document Ranking with Query-Directed Sparse Transformer.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Who should I invite: predicting event participants for a host user.
Knowl. Inf. Syst., 2019

Cocluster hypothesis and ranking consistency for relevance ranking in web search.
J. Assoc. Inf. Sci. Technol., 2019

Semantic Text Matching for Long-Form Documents.
Proceedings of the World Wide Web Conference, 2019

CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Enhancing Air Quality Prediction with Social Media and Natural Language Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Personalized Question Routing via Heterogeneous Network Embedding.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Identifying Users behind Shared Accounts in Online Streaming Services.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

RIN: Reformulation Inference Network for Context-Aware Query Suggestion.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Open Source Repository Recommendation in Social Coding.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers.
Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

2016
Analyzing Social Event Participants for a Single Organizer.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Classifying User Search Intents for Query Auto-Completion.
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, 2016

Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Entity-driven Type Hierarchy Construction for Freebase.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Learning user reformulation behavior for query auto-completion.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

POSTER: Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs.
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2012
Event Duration Detection on Microblogging.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Web Intelligence, 2012

Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration.
Proceedings of the Information Retrieval Technology, 2012


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