2024

• Yu-Ze Liu, Jyun-Yu Jiang and Pu-Jen Cheng. Non-deterministic Identifier and Concept Alignment for Differentiable Search Index. In Proceedings of The 33rd ACM International Conference on Information and Knowledge Management (CIKM '24), ACM, 2024.
• Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu and Wei Wang. MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. In Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL '24), ACL, 2024. The preprint version is available at arXiv.
• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Entity Disambiguation with Extreme Multi-label Ranking. In Proceedings of 2024 The Web Conference (WWW '24), ACM, 2024.
• Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon-Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu and S. V. N. Vishwanathan. PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. In Proceedings of The 17th ACM International Conference on Web Search and Data Mining (WSDM '24), ACM, 2024.

2023

• Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh and Hsiang-Fu Yu. Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. In Proceedings of The 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), ACM, 2023.
• Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan and Pu-Jen Cheng. printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. In Proceedings of The 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), ACM, 2023.
• Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic and Hsiang-Fu Yu. PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. In Proceedings of the 40th International Conference on Machine Learning (ICML '23), PMLR, 2023.
• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Uncertainty Quantification for Extreme Classification. In Proceedings of The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23), ACM, 2023. The preprint version is available at arXiv.
• Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han and Wei Wang. InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. In The 17th International AAAI Conference on Web and Social Media (ICWSM '23), AAAI, 2023.
• Yu Yan, Jyun-Yu Jiang, Mingzhou Fu, Ding Wang, Alexander Pelletier, Dibakar Sigdel, Wei Wang and Peipei Ping. MIND-S: A Novel Deep Learning Prediction Model For Elucidating Protein PTMs In Human Diseases. Cell Reports Methods, 2023.
• Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit Dhillon and Cho-Jui Hsieh. FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. In Proceedings of 2023 The Web Conference (WWW '23), ACM, 2023.
• Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang and Wei Wang. Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM '23), SIAM, 2023. Best Poster Award Honorable Mention.
• Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang. MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. Technical Report, 2023.

2022

• Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li and Cho-Jui Hsieh. Hands-on Tutorial "PECOS: Prediction for Enormous and Correlated Output Spaces." The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), ACM, 2022.
• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. In Proceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22), ACM, 2022.
• Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, Paul Jeffrey Brantingham and Wei Wang. ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. In Proceedings of The 31st ACM International Conference on Information and Knowledge Management (CIKM '22), ACM, 2022.
• Xiusi Chen, Jyun-Yu Jiang and Wei Wang. Scalable Graph Representation Learning via Locality-Sensitive Hashing. In Proceedings of The 31st ACM International Conference on Information and Knowledge Management (CIKM '22), ACM, 2022.
• Jyun-Yu Jiang, Yichao Zhou, Xiusi Chen, Yan-Ru Jhou, Liqi Zhao, Sabrina Liu, Po-Chun Yang, Jule Ahmar and Wei Wang. COVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining. In Philosophical Transactions of the Royal Society A, 2022.
• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Uncertainty in Extreme Multi-label Classification. Technical Report, 2022.

2021

• Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht and Jaime Teevan. Learning to Represent Human Motives for Goal-directed Web Browsing. In Proceedings of 15th ACM Conference on Recommender Systems (RecSys '21), ACM, 2021.
• Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen and Wei Wang. JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites. In Proceedings of The 29th annual international conference on Intelligent Systems for Molecular Biology and The 20th annual European Conference on Computational Biology (ISMB/ECCB '21). Bioinformatics, OUP, 2021. The preprint version is available at bioRxiv. [code]
• Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, and Wei Wang. Evaluating audience loyalty and authenticity in influencer marketing via multi-task multi-relational learning. In The 15th International AAAI Conference on Web and Social Media (ICWSM '21), AAAI, 2021.
• Seungbae Kim, Jyun-Yu Jiang and Wei Wang. Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. In Proceedings of The 14th ACM International Conference on Web Search and Data Mining (WSDM '21), ACM, 2021.
• Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen and Wei Wang. #StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. In Proceedings of The 30th ACM International Conference on Information and Knowledge Management (CIKM '21), ACM, 2021.
• Haiyang Wang, Guangyu Zhou, Siqi Liu, Jyun-Yu Jiang and Wei Wang. Drug-Target Interaction Prediction with Graph Attention networks. Technical Report, 2021.
• Chelsea Jui-Ting Ju*, Jyun-Yu Jiang*, Ruirui Li, Zeyu Li and Wei Wang. TahcoRoll: fast genomic signature profiling via thinned automaton and rolling hash. National Medical Review, 2021. The preprint version is available at bioRxiv. (*equal contribution) [code]

2020

• Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee and Wei Wang. Long Document Ranking with Query-Directed Sparse Transformer. In Proceedings of 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP '20), ACL, 2020. [code]
• Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju and Wei Wang. MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. In Proceedings of The 29th ACM International Conference on Information and Knowledge Management (CIKM '20), ACM, 2020. [slides] [code]
• Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh and Andreas Stolcke. Speaker Identification for Household Scenarios with Self-attention and Adversarial Training. In Proceedings of The 21st Interspeech Conference (INTERSPEECH '20), IEEE, 2020.
• Jyun-Yu Jiang*, Patrick H. Chen*, Cho-Jui Hsieh and Wei Wang. Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. In Proceedings of the 2020 World Wide Web Conference (WWW '20), ACM, 2020. (*equal contribution) [slides] [code]
• Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed Chi, Harish Ganapathy, Nitin Jindal, Pei Cao and Wei Wang. End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. In Proceedings of the 2020 World Wide Web Conference (WWW '20), ACM, 2020. [slides]
• Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han and Wei Wang. Multimodal Post Attentive Profiling for Influencer Marketing. In Proceedings of the 2020 World Wide Web Conference (WWW '20), ACM, 2020.
• Cheng Zheng*, Jyun-Yu Jiang*, Yichao Zhou, Sean Young and Wei Wang. Social Media User Geolocation via Hybrid Attention. In Proceedings of The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), ACM, 2020. (*equal contribution)
• Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang and Wei Wang "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL '20), ACL, 2020.
• Guangyu Zhou, Muhao Chen, Chelsea Ju, Zheng Wang, Jyun-Yu Jiang and Wei Wang. Mutation effect estimation on protein-protein interactions using deep contextualized representation learning. In NAR Genomics and Bioinformatics (NARGAB), Oxford University Press, 2020. Accepted in February 2020. [code]
• Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh and Wei Wang. Automatic Speaker Recognition with Limited Data. In Proceedings of The 13th ACM International Conference on Web Search and Data Mining (WSDM '20), ACM, 2020.
• Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh and Wei Wang. Bridging Mixture Density Networks with Meta-learning for Automatic Speaker Identification. In Proceedings of The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP '20), IEEE, 2020.
• Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen and Wei Wang. JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites. Technical report, 2020. [code]

2019

• Jyun-Yu Jiang*, Zehan Chao*, Andrea L. Bertozzi, Wei Wang, Sean Young and Deanna Needell. Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. In Proceedings of The 28th ACM International Conference on Information and Knowledge Management (CIKM '19), ACM, 2019. (*equal contribution)
• Yichao Zhou*, Jyun-Yu Jiang*, Kai-Wei Chang and Wei Wang. Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP '19), EMNLP-IJCNLP, 2019. (*equal contribution)
• Jyun-Yu Jiang, Xue Sun, Wei Wang and Sean Young. Enhancing Air Quality Prediction with Social Media and Natural Language Processing. In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL '19), ACL, 2019.
• Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi and Marc Najork. Semantic Text Matching for Long-Form Documents. In Proceedings of the 2019 World Wide Web Conference (WWW '19), ACM, 2019.
• Zeyu Li, Jyun-Yu Jiang, Yizhou Sun and Wei Wang. Personalized Question Routing via Heterogeneous Network Embedding. In Proceedings of The 33rd AAAI Conference on Artificial Intelligence (AAAI '19), AAAI, 2019. [slides] [code]
• Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju and Wei Wang. CORALS: Who are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. In Proceedings of The 12th ACM International Conference on Web Search and Data Mining (WSDM '19), ACM, 2019.
• Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju and Wei Wang. Prediction of microbial communities for urban metagenomics using neural network approach. In Human Genomics, 13(1), 47, BMC, Springer, 2019. A shorter version appered in BIBM '18.

2018

• Jyun-Yu Jiang and Wei Wang. RIN: Reformulation Inference Network for Context-Aware Query Suggestion. In Proceedings of The 27th ACM International Conference on Information and Knowledge Management (CIKM '18), ACM, 2018. [slides] [code]
• Jyun-Yu Jiang, Cheng-Te Li, Yian Chen and Wei Wang. Identifying Users behind Shared Accounts in Online Streaming Services. In Proceedings of The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '18), ACM, 2018. [slides]
• Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen and Wei Wang. Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. In Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL '18), ACL, 2018. [slides]
• Jyun-Yu Jiang and Cheng-Te Li. Who Should I Invite: Predicting Event Participants for a Host User. In Knowledge and Information Systems (KAIS), Springer, 59(3), 629-650, 2019. Accepted in February 2018. First published online in April 2018.
• Jian-De Jiang, Jyun-Yu Jiang, and Pu-Jen Cheng. Co-cluster Hypothesis and Ranking Consistency for Relevance Ranking in Web Search. Journal of the Association for Information Science and Technology (JASIST), Wiley, 2019. Accepted in May 2018. First published online in March 2019.
• Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju and Wei Wang. Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks. In Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM '18), IEEE, 2018. [code]
• Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Cheryl Flynn, Wen-Ling Hsu, Jia Wang, Wei Wang and Tan Xu. Enhancing Response Generation Using Chat FlowIdentification. In Conversational AI and Its Applications Workshop at KDD 2018 (KDD CAI), 2018.

2017

• Chelsea Jui-Ting Ju*, Jyun-Yu Jiang*, Ruirui Li, Zeyu Li and Wei Wang. TahcoRoll: An Efficient Approach for Signature Profiling in Genomic Data through Variable-Length k-mers. Technical report, 2017. (*equal contribution) [code]
• Jyun-Yu Jiang, Pu-Jen Cheng and Wei Wang. Open Source Repository Recommendation in Social Coding. In Proceedings of The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17), ACM, 2017.
• Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang and Wei Wang. Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers. In Proceedings of The 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB '17), ACM, 2017. [code]

Before 2016

• Jyun-Yu Jiang and Cheng-Te Li. Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. In Proceedings of The 25th ACM International Conference on Information and Knowledge Management (CIKM '16), ACM, 2016.
• Jyun-Yu Jiang and Pu-Jen Cheng. Classifying User Search Intents for Query Auto-Completion. In Proceedings of The 2nd ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '16), ACM, 2016. [slides]
• Jyun-Yu Jiang and Cheng-Te Li. Analyzing Social Event Participants for a Single Organizer. In Proceedings of AAAI International Conference on Web and Social Media (ICWSM '16), AAAI, 2016.
• Jyun-Yu Jiang, Jing Liu, Chin-Yew Lin and Pu-Jen Cheng. Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs. In Proceedings of The 24th ACM International Conference on Information and Knowledge Management (CIKM '15), ACM, 2015. [slides]
• Jyun-Yu Jiang, Chin-Yew Lin and Pu-Jen Cheng. Entity-driven Type Hierarchy Construction for Freebase. In Proceedings of the 24th International World Wide Web Conference (WWW '15), ACM, 2015.
• Jyun-Yu Jiang, Yen-Yu Ke, Pao-Yu Chien and Pu-Jen Cheng. Learning User Reformulation Behavior for Query Auto-Completion. In Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '14), ACM, 2014. [slides]
• Jyun-Yu Jiang, Chun-Liang Li, Chun-Pai Yang and Chung-Tsai Su. Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs. In Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS '14), ACM, 2014.
• Jyun-Yu Jiang, Yi-Shiang Tzeng, Pei-Ying Huang and Pu-Jen Cheng. Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration. In Proceedings of the 8th Asia Information Retrieval Societies Conference (AIRS '12), Information Retrieval Technology, Springer, 2012.
• Yi-Shiang Tzeng, Jyun-Yu Jiang and Pu-Jen Cheng. Event Duration Detection on Microblogging. In Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI '12), IEEE, 2012.
• Kuan-Wei Wu, Chun-Sung Ferng, Chia-Hua Ho, An-Chun Liang, Chun-Heng Huang, Wei-Yuan Shen, Jyun-Yu Jiang, Ming-Hao Yang, Ting-Wei Lin, Ching-Pei Lee, Perng-Hwa Kung, Chin-En Wang, Ting-Wei Ku, Chun-Yen Ho, Yi-Shu Tai, I-Kuei Chen, Wei-Lun Huang, Che-Ping Chou, Tse-Ju Lin, Han-Jay Yang, Yen-Kai Wang, Cheng-Te Li, Shou-De Lin and Hsuan-Tien Lin. A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012. National Taiwan University, 2012; presented in the KDD Cup 2012 Workshop (KDDCUP 2012). (First Prize of Track 2).

Research Areas

Large-scale Machine Learning

• Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon-Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu and S. V. N. Vishwanathan. PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. In Proceedings of The 17th ACM International Conference on Web Search and Data Mining (WSDM '24), ACM, 2024.
• Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh and Hsiang-Fu Yu. Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search In Proceedings of The 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), ACM, 2023.
• Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic and Hsiang-Fu Yu. PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. In Proceedings of the 40th International Conference on Machine Learning (ICML '23), PMLR, 2023.
• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Uncertainty Quantification for Extreme Classification. In Proceedings of The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23), ACM, 2023. The preprint version is available at arXiv.
• Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit Dhillon and Cho-Jui Hsieh. FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. In Proceedings of 2023 The Web Conference (WWW '23), ACM, 2023.
• Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li and Cho-Jui Hsieh. Hands-on Tutorial "PECOS: Prediction for Enormous and Correlated Output Spaces." The 28th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), ACM, 2022.
• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. In Proceedings of The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '22), ACM, 2022.
• Xiusi Chen, Jyun-Yu Jiang and Wei Wang. Scalable Graph Representation Learning via Locality-Sensitive Hashing. In Proceedings of The 31st ACM International Conference on Information and Knowledge Management (CIKM '22), ACM, 2022.
• Jyun-Yu Jiang*, Patrick H. Chen*, Cho-Jui Hsieh and Wei Wang. Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. In Proceedings of the 2020 World Wide Web Conference (WWW '20), ACM, 2020. (*equal contribution) [slides] [code]

[back to research areas]

Information Retrieval and Web Search

• Yu-Ze Liu, Jyun-Yu Jiang and Pu-Jen Cheng. Non-deterministic Identifier and Concept Alignment for Differentiable Search Index. In Proceedings of The 33rd ACM International Conference on Information and Knowledge Management (CIKM '24), ACM, 2024.
• Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu and Wei Wang. MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. In Proceedings of The 62nd Annual Meeting of the Association for Computational Linguistics (ACL '24), ACL, 2024. The preprint version is available at arXiv.
• Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan and Pu-Jen Cheng. printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. In Proceedings of The 32nd ACM International Conference on Information and Knowledge Management (CIKM '23), ACM, 2023.
• Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang and Wei Wang. Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. In Proceedings of the 2023 SIAM International Conference on Data Mining (SDM '23), SIAM, 2023. Best Poster Award Honorable Mention.
• Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht and Jaime Teevan. Learning to Represent Human Motives for Goal-directed Web Browsing. In Proceedings of 15th ACM Conference on Recommender Systems (RecSys '21), ACM, 2021.
• Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee and Wei Wang. Long Document Ranking with Query-Directed Sparse Transformer. In Proceedings of 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP '20), ACL, 2020. [code]
• Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed Chi, Harish Ganapathy, Nitin Jindal, Pei Cao and Wei Wang. End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. In Proceedings of the 2020 World Wide Web Conference (WWW '20), ACM, 2020. [slides]
• Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi and Marc Najork. Semantic Text Matching for Long-Form Documents. In Proceedings of the 2019 World Wide Web Conference (WWW '19), ACM, 2019.
• Jyun-Yu Jiang and Wei Wang. RIN: Reformulation Inference Network for Context-Aware Query Suggestion. In Proceedings of The 27th ACM International Conference on Information and Knowledge Management (CIKM '18), ACM, 2018. [slides] [code]
• Jian-De Jiang, Jyun-Yu Jiang, and Pu-Jen Cheng. Co-cluster Hypothesis and Ranking Consistency for Relevance Ranking in Web Search. Journal of the Association for Information Science and Technology (JASIST), Wiley, 2019. Accepted in May 2018. First published online in March 2019.
• Jyun-Yu Jiang and Pu-Jen Cheng. Classifying User Search Intents for Query Auto-Completion. In Proceedings of The 2nd ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR '16), ACM, 2016. [slides]
• Jyun-Yu Jiang, Jing Liu, Chin-Yew Lin and Pu-Jen Cheng. Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs. In Proceedings of The 24th ACM International Conference on Information and Knowledge Management (CIKM '15), ACM, 2015. [slides]
• Jyun-Yu Jiang, Yen-Yu Ke, Pao-Yu Chien and Pu-Jen Cheng. Learning User Reformulation Behavior for Query Auto-Completion. In Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '14), ACM, 2014. [slides]

[back to research areas]

Social Media Mining

• Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han and Wei Wang. InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. In The 17th International AAAI Conference on Web and Social Media (ICWSM '23), AAAI, 2023.
• Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, and Wei Wang. Evaluating audience loyalty and authenticity in influencer marketing via multi-task multi-relational learning. In The 15th International AAAI Conference on Web and Social Media (ICWSM '21), AAAI, 2021.
• Seungbae Kim, Jyun-Yu Jiang and Wei Wang. Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. In Proceedings of The 14th ACM International Conference on Web Search and Data Mining (WSDM '21), ACM, 2021.
• Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen and Wei Wang. #StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. In Proceedings of The 30th ACM International Conference on Information and Knowledge Management (CIKM '21), ACM, 2021.
• Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han and Wei Wang. Multimodal Post Attentive Profiling for Influencer Marketing. In Proceedings of the 2020 World Wide Web Conference (WWW '20), ACM, 2020.
• Cheng Zheng*, Jyun-Yu Jiang*, Yichao Zhou, Sean Young and Wei Wang. Social Media User Geolocation via Hybrid Attention. In Proceedings of The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '20), ACM, 2020. (*equal contribution)
• Jyun-Yu Jiang, Xue Sun, Wei Wang and Sean Young. Enhancing Air Quality Prediction with Social Media and Natural Language Processing. In Proceedings of The 57th Annual Meeting of the Association for Computational Linguistics (ACL '19), ACL, 2019.
• Zeyu Li, Jyun-Yu Jiang, Yizhou Sun and Wei Wang. Personalized Question Routing via Heterogeneous Network Embedding. In Proceedings of The 33rd AAAI Conference on Artificial Intelligence (AAAI '19), AAAI, 2019. [slides] [code]
• Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju and Wei Wang. CORALS: Who are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. In Proceedings of The 12th ACM International Conference on Web Search and Data Mining (WSDM '19), ACM, 2019.
• Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen and Wei Wang. Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. In Proceedings of The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL '18), ACL, 2018. [slides]
• Jyun-Yu Jiang, Cheng-Te Li, Yian Chen and Wei Wang. Identifying Users behind Shared Accounts in Online Streaming Services. In Proceedings of The 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '18), ACM, 2018. [slides]
• Jyun-Yu Jiang and Cheng-Te Li. Who Should I Invite: Predicting Event Participants for a Host User. In Knowledge and Information Systems (KAIS), Springer, 59(3), 629-650, 2019. Accepted in February 2018. First published online in April 2018.
• Jyun-Yu Jiang, Pu-Jen Cheng and Wei Wang. Open Source Repository Recommendation in Social Coding. In Proceedings of The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '17), ACM, 2017.
• Jyun-Yu Jiang and Cheng-Te Li. Analyzing Social Event Participants for a Single Organizer. In Proceedings of AAAI International Conference on Web and Social Media (ICWSM '16), AAAI, 2016.
• Jyun-Yu Jiang, Yi-Shiang Tzeng, Pei-Ying Huang and Pu-Jen Cheng. Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration. In Proceedings of the 8th Asia Information Retrieval Societies Conference (AIRS '12), Information Retrieval Technology, Springer, 2012.
• Yi-Shiang Tzeng, Jyun-Yu Jiang and Pu-Jen Cheng. Event Duration Detection on Microblogging. In Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology (WI '12), IEEE, 2012.

[back to research areas]

Bioinformatics and Biomedical Informatics

• Yu Yan, Jyun-Yu Jiang, Mingzhou Fu, Ding Wang, Alexander Pelletier, Dibakar Sigdel, Wei Wang and Peipei Ping. MIND-S: A Novel Deep Learning Prediction Model For Elucidating Protein PTMs In Human Diseases. Cell Reports Methods, 2023.
• Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen and Wei Wang. JEDI: Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites. In Proceedings of The 29th annual international conference on Intelligent Systems for Molecular Biology and The 20th annual European Conference on Computational Biology (ISMB/ECCB '21). Bioinformatics, OUP, 2021. The preprint version is available at bioRxiv. [code]
• Guangyu Zhou, Muhao Chen, Chelsea Ju, Zheng Wang, Jyun-Yu Jiang and Wei Wang. Mutation effect estimation on protein-protein interactions using deep contextualized representation learning. In NAR Genomics and Bioinformatics (NARGAB), Oxford University Press, 2020. Accepted in February 2020. [code]
• Jyun-Yu Jiang*, Zehan Chao*, Andrea L. Bertozzi, Wei Wang, Sean Young and Deanna Needell. Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. In Proceedings of The 28th ACM International Conference on Information and Knowledge Management (CIKM '19), ACM, 2019. (*equal contribution)
• Jyun-Yu Jiang, Yichao Zhou, Xiusi Chen, Yan-Ru Jhou, Liqi Zhao, Sabrina Liu, Po-Chun Yang, Jule Ahmar and Wei Wang. COVID-19 Surveiller: toward a robust and effective pandemic surveillance system based on social media mining. In Philosophical Transactions of the Royal Society A, 2022.
• Chelsea Jui-Ting Ju*, Jyun-Yu Jiang*, Ruirui Li, Zeyu Li and Wei Wang. TahcoRoll: fast genomic signature profiling via thinned automaton and rolling hash. National Medical Review, 2021. The preprint version is available at bioRxiv. (*equal contribution) [code]
• Haiyang Wang, Guangyu Zhou, Siqi Liu, Jyun-Yu Jiang and Wei Wang. Drug-Target Interaction Prediction with Graph Attention networks. Technical Report, 2021.
• Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju and Wei Wang. Prediction of microbial communities for urban metagenomics using neural network approach. In Human Genomics, 13(1), 47, BMC, Springer, 2019. A shorter version appered in BIBM '18.
• Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju and Wei Wang. Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks. In Proceedings of 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM '18), IEEE, 2018. [code]
• Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang and Wei Wang. Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers. In Proceedings of The 8th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB '17), ACM, 2017. [code]

[back to research areas]

General Machine Learning Research

• Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh and Hsiang-Fu Yu. Entity Disambiguation with Extreme Multi-label Ranking. In Proceedings of 2024 The Web Conference (WWW '24), ACM, 2024.
• Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, Paul Jeffrey Brantingham and Wei Wang. ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. In Proceedings of The 31st ACM International Conference on Information and Knowledge Management (CIKM '22), ACM, 2022.
• Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju and Wei Wang. MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. In Proceedings of The 29th ACM International Conference on Information and Knowledge Management (CIKM '20), ACM, 2020. [slides] [code]
• Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh and Andreas Stolcke. Speaker Identification for Household Scenarios with Self-attention and Adversarial Training. In Proceedings of The 21st Interspeech Conference (INTERSPEECH '20), IEEE, 2020.
• Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh and Wei Wang. Bridging Mixture Density Networks with Meta-learning for Automatic Speaker Identification. In Proceedings of The 45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP '20), IEEE, 2020.
• Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh and Wei Wang. Automatic Speaker Recognition with Limited Data. In Proceedings of The 13th ACM International Conference on Web Search and Data Mining (WSDM '20), ACM, 2020.
• Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang and Wei Wang "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. In Proceedings of The 58th Annual Meeting of the Association for Computational Linguistics (ACL '20), ACL, 2020.
• Yichao Zhou*, Jyun-Yu Jiang*, Kai-Wei Chang and Wei Wang. Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. In Proceedings of 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP '19), EMNLP-IJCNLP, 2019. (*equal contribution)
• Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Cheryl Flynn, Wen-Ling Hsu, Jia Wang, Wei Wang and Tan Xu. Enhancing Response Generation Using Chat Flow Identification. In Conversational AI and Its Applications Workshop at KDD 2018 (KDD CAI), 2018.
• Jyun-Yu Jiang and Cheng-Te Li. Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. In Proceedings of The 25th ACM International Conference on Information and Knowledge Management (CIKM '16), ACM, 2016.
• Jyun-Yu Jiang, Chin-Yew Lin and Pu-Jen Cheng. Entity-driven Type Hierarchy Construction for Freebase. In Proceedings of the 24th International World Wide Web Conference (WWW '15), ACM, 2015.
• Jyun-Yu Jiang, Chun-Liang Li, Chun-Pai Yang and Chung-Tsai Su. Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs. In Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS '14), ACM, 2014.
• Kuan-Wei Wu, Chun-Sung Ferng, Chia-Hua Ho, An-Chun Liang, Chun-Heng Huang, Wei-Yuan Shen, Jyun-Yu Jiang, Ming-Hao Yang, Ting-Wei Lin, Ching-Pei Lee, Perng-Hwa Kung, Chin-En Wang, Ting-Wei Ku, Chun-Yen Ho, Yi-Shu Tai, I-Kuei Chen, Wei-Lun Huang, Che-Ping Chou, Tse-Ju Lin, Han-Jay Yang, Yen-Kai Wang, Cheng-Te Li, Shou-De Lin and Hsuan-Tien Lin. A Two-Stage Ensemble of Diverse Models for Advertisement Ranking in KDD Cup 2012. National Taiwan University, 2012; presented in the KDD Cup 2012 Workshop (KDDCUP 2012). (First Prize of Track 2).

[back to research areas]