| 2025 | RecSys | Collaborative Interest Modeling in Recommender Systems. | Yu-Ting Cheng, Yu-Yen Ho, Jyun-Yu Jiang |
| 2024 | ACL | 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 |
| 2024 | CIKM | Multi-DSI: Non-deterministic Identifier and Concept Alignment for Differentiable Search Index. | Yu-Ze Liu, Jyun-Yu Jiang, Pu-Jen Cheng |
| 2024 | WWW | Entity Disambiguation with Extreme Multi-label Ranking. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2024 | WSDM | 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 |
| 2023 | CIKM | 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 |
| 2023 | CIKM | 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 |
| 2023 | ICML | 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 |
| 2023 | ICWSM | InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. | Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang |
| 2023 | WWW | 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 |
| 2023 | SIGIR | Uncertainty Quantification for Extreme Classification. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2023 | SDM | Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. | Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang |
| 2022 | CIKM | ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. | Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang |
| 2022 | CIKM | Scalable Graph Representation Learning via Locality-Sensitive Hashing. | Xiusi Chen, Jyun-Yu Jiang, Wei Wang |
| 2022 | KDD | PECOS: Prediction for Enormous and Correlated Output Spaces. | Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh |
| 2022 | SIGIR | 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 |
| 2021 | CIKM | #StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. | Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang |
| 2021 | ICWSM | 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 |
| 2021 | RecSys | 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 |
| 2021 | WSDM | Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. | Seungbae Kim, Jyun-Yu Jiang, Wei Wang |
| 2020 | ACL | "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. | Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang |
| 2020 | CIKM | MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. | Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju, Wei Wang |
| 2020 | EMNLP | Long Document Ranking with Query-Directed Sparse Transformer. | Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang |
| 2020 | ICASSP | Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. | Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang |
| 2020 | Interspeech | Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training. | Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, Andreas Stolcke |
| 2020 | WWW | Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. | Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang |
| 2020 | WWW | 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 |
| 2020 | WWW | Multimodal Post Attentive Profiling for Influencer Marketing. | Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han, Wei Wang |
| 2020 | SIGIR | Social Media User Geolocation via Hybrid Attention. | Cheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean D. Young, Wei Wang |
| 2020 | WSDM | Automatic Speaker Recognition with Limited Data. | Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang |
| 2019 | AAAI | Personalized Question Routing via Heterogeneous Network Embedding. | Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang |
| 2019 | ACL | Enhancing Air Quality Prediction with Social Media and Natural Language Processing. | Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean D. Young |
| 2019 | CIKM | Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. | Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell |
| 2019 | EMNLP | Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. | Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang |
| 2019 | WWW | Semantic Text Matching for Long-Form Documents. | Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork |
| 2019 | WSDM | CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. | Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang |
| 2018 | CIKM | RIN: Reformulation Inference Network for Context-Aware Query Suggestion. | Jyun-Yu Jiang, Wei Wang |
| 2018 | NAACL | Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. | Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen, Wei Wang |
| 2018 | SIGIR | Identifying Users behind Shared Accounts in Online Streaming Services. | Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang |
| 2017 | SIGIR | Open Source Repository Recommendation in Social Coding. | Jyun-Yu Jiang, Pu-Jen Cheng, Wei Wang |
| 2016 | CIKM | Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. | Jyun-Yu Jiang, Cheng-Te Li |
| 2016 | ICTIR | Classifying User Search Intents for Query Auto-Completion. | Jyun-Yu Jiang, Pu-Jen Cheng |
| 2016 | ICWSM | Analyzing Social Event Participants for a Single Organizer. | Jyun-Yu Jiang, Cheng-Te Li |
| 2015 | CIKM | Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs. | Jyun-Yu Jiang, Jing Liu, Chin-Yew Lin, Pu-Jen Cheng |
| 2015 | WWW | Entity-driven Type Hierarchy Construction for Freebase. | Jyun-Yu Jiang, Pu-Jen Cheng, Chin-Yew Lin |
| 2014 | CCS | 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 |
| 2014 | SIGIR | Learning user reformulation behavior for query auto-completion. | Jyun-Yu Jiang, Yen-Yu Ke, Pao-Yu Chien, Pu-Jen Cheng |