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2020 – today
- 2024
[c49]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. ACL (1) 2024: 254-266- [c48]Wei-Cheng Chang
, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan:
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. WSDM 2024: 77-86 - [c47]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Entity Disambiguation with Extreme Multi-label Ranking. WWW 2024: 4172-4180 - 2023
- [c46]Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan, Pu-Jen Cheng:
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. CIKM 2023: 1431-1440 - [c45]Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. CIKM 2023: 4960-4966 - [c44]Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu:
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML 2023: 5616-5630 - [c43]Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang:
InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. ICWSM 2023: 482-493 - [c42]Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang:
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. SDM 2023: 909-917 - [c41]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty Quantification for Extreme Classification. SIGIR 2023: 1649-1659 - [c40]Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh:
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. WWW 2023: 3225-3235 - [i13]Seungbae Kim, Jyun-Yu Jiang, Jinyoung Han, Wei Wang:
InfluencerRank: Discovering Effective Influencers via Graph Convolutional Attentive Recurrent Neural Networks. CoRR abs/2304.01897 (2023) - [i12]Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu:
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR abs/2305.12349 (2023) - [i11]Xiusi Chen, Yu Zhang, Jinliang Deng, Jyun-Yu Jiang, Wei Wang:
Gotta: Generative Few-shot Question Answering by Prompt-based Cloze Data Augmentation. CoRR abs/2306.04101 (2023) - [i10]Hao-Lun Lin, Jyun-Yu Jiang, Ming-Hao Juan, Pu-Jen Cheng:
printf: Preference Modeling Based on User Reviews with Item Images and Textual Information via Graph Learning. CoRR abs/2308.09943 (2023) - [i9]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. CoRR abs/2310.05007 (2023) - [i8]Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan:
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. CoRR abs/2312.02429 (2023) - 2022
- [c39]Xiusi Chen, Jyun-Yu Jiang, Kun Jin, Yichao Zhou, Mingyan Liu, P. Jeffrey Brantingham, Wei Wang:
ReLiable: Offline Reinforcement Learning for Tactical Strategies in Professional Basketball Games. CIKM 2022: 3023-3032 - [c38]Xiusi Chen, Jyun-Yu Jiang, Wei Wang:
Scalable Graph Representation Learning via Locality-Sensitive Hashing. CIKM 2022: 3878-3882 - [c37]Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh:
PECOS: Prediction for Enormous and Correlated Output Spaces. KDD 2022: 4848-4849 - [c36]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. SIGIR 2022: 1870-1874 - [i7]Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu:
Uncertainty in Extreme Multi-label Classification. CoRR abs/2210.10160 (2022) - 2021
- [b1]Jyun-Yu Jiang:
Multi-scale Human Behavior Modeling with Heterogeneous Data. University of California, Los Angeles, USA, 2021 - [j3]Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen, Wei Wang:
JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites. Bioinform. 37(Supplement): 289-298 (2021) - [c35]Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang:
#StayHome or #Marathon?: Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CIKM 2021: 2738-2748 - [c34]Seungbae Kim, Xiusi Chen, Jyun-Yu Jiang, Jinyoung Han, Wei Wang:
Evaluating Audience Loyalty and Authenticity in Influencer Marketing via Multi-task Multi-relational Learning. ICWSM 2021: 278-289 - [c33]Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan:
Learning to Represent Human Motives for Goal-directed Web Browsing. RecSys 2021: 361-371 - [c32]Seungbae Kim, Jyun-Yu Jiang, Wei Wang:
Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning. WSDM 2021: 319-327 - [i6]Haiyang Wang, Guangyu Zhou, Siqi Liu, Jyun-Yu Jiang, Wei Wang:
Drug-Target Interaction Prediction with Graph Attention networks. CoRR abs/2107.06099 (2021) - [i5]Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent J. Hecht, Jaime Teevan:
Learning to Represent Human Motives for Goal-directed Web Browsing. CoRR abs/2108.03350 (2021) - [i4]Yichao Zhou, Jyun-Yu Jiang, Xiusi Chen, Wei Wang:
#StayHome or #Marathon? Social Media Enhanced Pandemic Surveillance on Spatial-temporal Dynamic Graphs. CoRR abs/2108.03670 (2021) - 2020
- [c31]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. ACL 2020: 813-822 - [c30]Jyun-Yu Jiang, Zeyu Li, Chelsea J.-T. Ju, Wei Wang:
MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning. CIKM 2020: 575-584 - [c29]Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang:
Long Document Ranking with Query-Directed Sparse Transformer. EMNLP (Findings) 2020: 4594-4605 - [c28]Ruirui Li, Jyun-Yu Jiang, Xian Wu, Hongda Mao, Chu-Cheng Hsieh, Wei Wang:
Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. ICASSP 2020: 3522-3526 - [c27]Ruirui Li, Jyun-Yu Jiang, Xian Wu, Chu-Cheng Hsieh, Andreas Stolcke:
Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training. INTERSPEECH 2020: 2272-2276 - [c26]Cheng Zheng, Jyun-Yu Jiang, Yichao Zhou, Sean D. Young, Wei Wang:
Social Media User Geolocation via Hybrid Attention. SIGIR 2020: 1641-1644 - [c25]Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang:
Automatic Speaker Recognition with Limited Data. WSDM 2020: 340-348 - [c24]Jyun-Yu Jiang, Patrick H. Chen, Cho-Jui Hsieh, Wei Wang:
Clustering and Constructing User Coresets to Accelerate Large-scale Top-K Recommender Systems. WWW 2020: 2177-2187 - [c23]Jyun-Yu Jiang, Tao Wu, Georgios Roumpos, Heng-Tze Cheng, Xinyang Yi, Ed H. Chi, Harish Ganapathy, Nitin Jindal, Pei Cao, Wei Wang:
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms. WWW 2020: 2870-2877 - [c22]Seungbae Kim, Jyun-Yu Jiang, Masaki Nakada, Jinyoung Han, Wei Wang:
Multimodal Post Attentive Profiling for Influencer Marketing. WWW 2020: 2878-2884 - [i3]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. CoRR abs/2004.14457 (2020) - [i2]Jyun-Yu Jiang, Chenyan Xiong, Chia-Jung Lee, Wei Wang:
Long Document Ranking with Query-Directed Sparse Transformer. CoRR abs/2010.12683 (2020)
2010 – 2019
- 2019
- [j2]Jian-De Jiang, Jyun-Yu Jiang, Pu-Jen Cheng:
Cocluster hypothesis and ranking consistency for relevance ranking in web search. J. Assoc. Inf. Sci. Technol. 70(6): 535-546 (2019) - [j1]Jyun-Yu Jiang, Cheng-Te Li:
Who should I invite: predicting event participants for a host user. Knowl. Inf. Syst. 59(3): 629-650 (2019) - [c21]Zeyu Li, Jyun-Yu Jiang, Yizhou Sun, Wei Wang:
Personalized Question Routing via Heterogeneous Network Embedding. AAAI 2019: 192-199 - [c20]Jyun-Yu Jiang, Xue Sun, Wei Wang, Sean D. Young:
Enhancing Air Quality Prediction with Social Media and Natural Language Processing. ACL (1) 2019: 2627-2632 - [c19]Jyun-Yu Jiang, Zehan Chao, Andrea L. Bertozzi, Wei Wang, Sean D. Young, Deanna Needell:
Learning to Predict Human Stress Level with Incomplete Sensor Data from Wearable Devices. CIKM 2019: 2773-2781 - [c18]Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang:
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. EMNLP/IJCNLP (1) 2019: 4903-4912 - [c17]Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang:
CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. WSDM 2019: 69-77 - [c16]Jyun-Yu Jiang, Mingyang Zhang, Cheng Li, Michael Bendersky, Nadav Golbandi, Marc Najork:
Semantic Text Matching for Long-Form Documents. WWW 2019: 795-806 - [i1]Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang:
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. CoRR abs/1909.03084 (2019) - 2018
- [c15]Guangyu Zhou, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang:
Inferring Microbial Communities for City Scale Metagenomics Using Neural Networks. BIBM 2018: 603-608 - [c14]Jyun-Yu Jiang, Wei Wang:
RIN: Reformulation Inference Network for Context-Aware Query Suggestion. CIKM 2018: 197-206 - [c13]Jyun-Yu Jiang, Francine Chen, Yan-Ying Chen, Wei Wang:
Learning to Disentangle Interleaved Conversational Threads with a Siamese Hierarchical Network and Similarity Ranking. NAACL-HLT 2018: 1812-1822 - [c12]Jyun-Yu Jiang, Cheng-Te Li, Yian Chen, Wei Wang:
Identifying Users behind Shared Accounts in Online Streaming Services. SIGIR 2018: 65-74 - 2017
- [c11]Chelsea J.-T. Ju, Ruirui Li, Zhengliang Wu, Jyun-Yu Jiang, Zhao Yang, Wei Wang:
Fleximer: Accurate Quantification of RNA-Seq via Variable-Length k-mers. BCB 2017: 263-272 - [c10]Jyun-Yu Jiang, Pu-Jen Cheng, Wei Wang:
Open Source Repository Recommendation in Social Coding. SIGIR 2017: 1173-1176 - 2016
- [c9]Jyun-Yu Jiang, Cheng-Te Li:
Forecasting Geo-sensor Data with Participatory Sensing Based on Dropout Neural Network. CIKM 2016: 2033-2036 - [c8]Jyun-Yu Jiang, Pu-Jen Cheng:
Classifying User Search Intents for Query Auto-Completion. ICTIR 2016: 49-58 - [c7]Jyun-Yu Jiang, Cheng-Te Li:
Analyzing Social Event Participants for a Single Organizer. ICWSM 2016: 599-602 - 2015
- [c6]Jyun-Yu Jiang, Jing Liu, Chin-Yew Lin, Pu-Jen Cheng:
Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs. CIKM 2015: 1441-1450 - [c5]Jyun-Yu Jiang, Pu-Jen Cheng, Chin-Yew Lin:
Entity-driven Type Hierarchy Construction for Freebase. WWW (Companion Volume) 2015: 47-48 - 2014
- [c4]Jyun-Yu Jiang, Chun-Liang Li, Chun-Pai Yang, Chung-Tsai Su:
POSTER: Scanning-free Personalized Malware Warning System by Learning Implicit Feedback from Detection Logs. CCS 2014: 1436-1438 - [c3]Jyun-Yu Jiang, Yen-Yu Ke, Pao-Yu Chien, Pu-Jen Cheng:
Learning user reformulation behavior for query auto-completion. SIGIR 2014: 445-454 - 2012
- [c2]Jyun-Yu Jiang, Yi-Shiang Tzeng, Pei-Ying Huang, Pu-Jen Cheng:
Analyzing the Spatiotemporal Effects on Detection of Rain Event Duration. AIRS 2012: 506-517 - [c1]Yi-Shiang Tzeng, Jyun-Yu Jiang, Pu-Jen Cheng:
Event Duration Detection on Microblogging. Web Intelligence 2012: 16-23
Coauthor Index
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last updated on 2024-09-26 00:59 CEST by the dblp team
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