Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration. - Jyun-Yu Jiang; Yi-Shiang Tzeng; Pei-Ying Huang; Pu-Jen Cheng (AIRS, 2012)

Event Duration Detection on Microblogging. - Yi-Shiang Tzeng; Jyun-Yu Jiang; Pu-Jen Cheng (Web Intelligence, 2012)

POSTER: Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs. - Jyun-Yu Jiang; Chun-Liang Li; Chun-Pai Yang; Chung-Tsai Su (CCS, 2014)

Learning user reformulation behavior for query auto-completion. - Jyun-Yu Jiang; Yen-Yu Ke; Pao-Yu Chien; Pu-Jen Cheng (SIGIR, 2014)

Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs. - Jyun-Yu Jiang; Jing Liu 022; Chin-Yew Lin; Pu-Jen Cheng (CIKM, 2015)

Entity-driven Type Hierarchy Construction for Freebase. - Jyun-Yu Jiang; Pu-Jen Cheng; Chin-Yew Lin (WWW (Companion Volume), 2015)

Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. - Jyun-Yu Jiang; Cheng-Te Li (CIKM, 2016)

Classifying User Search Intents for Query Auto-Completion. - Jyun-Yu Jiang; Pu-Jen Cheng (ICTIR, 2016)

Analyzing Social Event Participants for a Single Organizer. - Jyun-Yu Jiang; Cheng-Te Li (ICWSM, 2016)

Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers. - Chelsea J.-T. Ju; Ruirui Li 002; Zhengliang Wu; Jyun-Yu Jiang; Zhao Yang; Wei Wang 010 (BCB, 2017)

Open Source Repository Recommendation in Social Coding. - Jyun-Yu Jiang; Pu-Jen Cheng; Wei Wang 010 (SIGIR, 2017)

Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks. - Guangyu Zhou; Jyun-Yu Jiang; Chelsea J.-T. Ju; Wei Wang 010 (BIBM, 2018)

RIN: Reformulation Inference Network for Context-Aware Query Suggestion. - Jyun-Yu Jiang; Wei Wang 010 (CIKM, 2018)

Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. - Jyun-Yu Jiang; Francine Chen 001; Yan-Ying Chen; Wei Wang 010 (NAACL-HLT, 2018)

Identifying Users behind Shared Accounts in Online Streaming Services. - Jyun-Yu Jiang; Cheng-Te Li; Yian Chen; Wei Wang 010 (SIGIR, 2018)

Personalized Question Routing via Heterogeneous Network Embedding. - Zeyu Li 001; Jyun-Yu Jiang; Yizhou Sun; Wei Wang 010 (AAAI, 2019)

Enhancing Air Quality Prediction with Social Media and Natural Language Processing. - Jyun-Yu Jiang; Xue Sun; Wei Wang 010; Sean D. Young (ACL (1), 2019)

Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. - Jyun-Yu Jiang; Zehan Chao; Andrea L. Bertozzi; Wei Wang 010; Sean D. Young; Deanna Needell (CIKM, 2019)

Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. - Yichao Zhou 001; Jyun-Yu Jiang; Kai-Wei Chang; Wei Wang 010 (EMNLP/IJCNLP (1), 2019)

CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. - Ruirui Li 002; Jyun-Yu Jiang; Chelsea J.-T. Ju; Wei Wang 010 (WSDM, 2019)

Semantic Text Matching for Long-Form Documents. - Jyun-Yu Jiang; Mingyang Zhang 001; Cheng Li 012; Michael Bendersky; Nadav Golbandi; Marc Najork (WWW, 2019)

Cocluster hypothesis and ranking consistency for relevance ranking in web search. - Jian-De Jiang; Jyun-Yu Jiang; Pu-Jen Cheng (J. Assoc. Inf. Sci. Technol., 2019)

Who should I invite: predicting event participants for a host user. - Jyun-Yu Jiang; Cheng-Te Li (Knowl. Inf. Syst., 2019)

"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. - Yichao Zhou 001; Jyun-Yu Jiang; Jieyu Zhao 001; Kai-Wei Chang; Wei Wang 010 (ACL, 2020)

MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. - Jyun-Yu Jiang; Zeyu Li 001; Chelsea J.-T. Ju; Wei Wang 010 (CIKM, 2020)

Long Document Ranking with Query-Directed Sparse Transformer. - Jyun-Yu Jiang; Chenyan Xiong; Chia-Jung Lee; Wei Wang 010 (EMNLP (Findings), 2020)

Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. - Ruirui Li 002; Jyun-Yu Jiang; Xian Wu 001; Hongda Mao; Chu-Cheng Hsieh; Wei Wang 010 (ICASSP, 2020)

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training. - Ruirui Li 002; Jyun-Yu Jiang; Xian Wu 001; Chu-Cheng Hsieh; Andreas Stolcke (INTERSPEECH, 2020)

Social Media User Geolocation via Hybrid Attention. - Cheng Zheng 004; Jyun-Yu Jiang; Yichao Zhou 001; Sean D. Young; Wei Wang 010 (SIGIR, 2020)

Automatic Speaker Recognition with Limited Data. - Ruirui Li 002; Jyun-Yu Jiang; Jiahao Liu; Chu-Cheng Hsieh; Wei Wang 010 (WSDM, 2020)

Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. - Jyun-Yu Jiang; Patrick H. Chen; Cho-Jui Hsieh; Wei Wang 010 (WWW, 2020)

End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. - Jyun-Yu Jiang; Tao Wu; Georgios Roumpos; Heng-Tze Cheng; Xinyang Yi; Ed H. Chi; Harish Ganapathy; Nitin Jindal; Pei Cao; Wei Wang 010 (WWW, 2020)

Multimodal Post Attentive Profiling for Influencer Marketing. - Seungbae Kim; Jyun-Yu Jiang; Masaki Nakada; Jinyoung Han; Wei Wang 010 (WWW, 2020)

#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. - Yichao Zhou 001; Jyun-Yu Jiang; Xiusi Chen; Wei Wang 010 (CIKM, 2021)

Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning. - Seungbae Kim; Xiusi Chen; Jyun-Yu Jiang; Jinyoung Han; Wei Wang 010 (ICWSM, 2021)

Learning to Represent Human Motives for Goal-directed Web Browsing. - Jyun-Yu Jiang; Chia-Jung Lee; Longqi Yang; Bahareh Sarrafzadeh; Brent J. Hecht; Jaime Teevan (RecSys, 2021)

Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. - Seungbae Kim; Jyun-Yu Jiang; Wei Wang 010 (WSDM, 2021)

JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites. - Jyun-Yu Jiang; Chelsea J.-T. Ju; Junheng Hao; Muhao Chen 001; Wei Wang 010 (Bioinform., 2021)

Drug-Target Interaction Prediction with Graph Attention networks. - Haiyang Wang; Guangyu Zhou; Siqi Liu; Jyun-Yu Jiang; Wei Wang 010 (CoRR, 2021)

Multi-scale Human Behavior Modeling with Heterogeneous Data. - Jyun-Yu Jiang (2021)

ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. - Xiusi Chen; Jyun-Yu Jiang; Kun Jin; Yichao Zhou 001; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CIKM, 2022)

Scalable Graph Representation Learning via Locality-Sensitive Hashing. - Xiusi Chen; Jyun-Yu Jiang; Wei Wang 010 (CIKM, 2022)

PECOS: Prediction for Enormous and Correlated Output Spaces. - Hsiang-Fu Yu; Jiong Zhang; Wei-Cheng Chang; Jyun-Yu Jiang; Wei Li; Cho-Jui Hsieh (KDD, 2022)

Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (SIGIR, 2022)

Uncertainty in Extreme Multi-label Classification. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (CoRR, 2022)

printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. - Hao-Lun Lin; Jyun-Yu Jiang; Ming-Hao Juan; Pu-Jen Cheng (CIKM, 2023)

Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. - Jiong Zhang; Yau-Shian Wang; Wei-Cheng Chang; Wei Li; Jyun-Yu Jiang; Cho-Jui Hsieh; Hsiang-Fu Yu (CIKM, 2023)

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. - Eli Chien; Jiong Zhang; Cho-Jui Hsieh; Jyun-Yu Jiang; Wei-Cheng Chang; Olgica Milenkovic; Hsiang-Fu Yu (ICML, 2023)

InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. - Seungbae Kim; Jyun-Yu Jiang; Jinyoung Han; Wei Wang 010 (ICWSM, 2023)

Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. - Xiusi Chen; Yu Zhang 044; Jinliang Deng; Jyun-Yu Jiang; Wei Wang 010 (SDM, 2023)

Uncertainty Quantification for Extreme Classification. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (SIGIR, 2023)

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. - Patrick H. Chen; Wei-Cheng Chang; Jyun-Yu Jiang; Hsiang-Fu Yu; Inderjit S. Dhillon; Cho-Jui Hsieh (WWW, 2023)

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. - Xiusi Chen; Jyun-Yu Jiang; Wei-Cheng Chang; Cho-Jui Hsieh; Hsiang-Fu Yu; Wei Wang 010 (ACL (1), 2024)

Multi-DSI: Non-deterministic Identifier and Concept Alignment for Differentiable Search Index. - Yu-Ze Liu; Jyun-Yu Jiang; Pu-Jen Cheng (CIKM, 2024)

PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. - Wei-Cheng Chang; Jyun-Yu Jiang; Jiong Zhang; Mutasem Al-Darabsah; Choon Hui Teo; Cho-Jui Hsieh; Hsiang-Fu Yu; S. V. N. Vishwanathan (WSDM, 2024)

Entity Disambiguation with Extreme Multi-label Ranking. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (WWW, 2024)

Retrieval-augmented Encoders for Extreme Multi-label Text Classification. - Yau-Shian Wang; Wei-Cheng Chang; Jyun-Yu Jiang; Jiong Zhang; Hsiang-Fu Yu; S. V. N. Vishwanathan (CoRR, 2025)

Beyond Independent Passages: Adaptive Passage Combination Retrieval for Retrieval Augmented Open-Domain Question Answering. - Ting-Wen Ko; Jyun-Yu Jiang; Pu-Jen Cheng (CoRR, 2025)