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Chelsea J.-T. Ju
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2020 – today
- 2024
- [c10]Chenyang Gao, Brecht Desplanques, Chelsea J.-T. Ju, Aman Chadha, Andreas Stolcke:
Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models. ICASSP 2024: 10836-10840 - [i7]Chenyang Gao, Brecht Desplanques, Chelsea J.-T. Ju, Aman Chadha, Andreas Stolcke:
Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models. CoRR abs/2401.12440 (2024) - 2022
- [c9]Minho Jin, Chelsea Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke:
Adversarial Reweighting for Speaker Verification Fairness. INTERSPEECH 2022: 4800-4804 - [i6]Minho Jin, Chelsea J.-T. Ju, Zeya Chen, Yi-Chieh Liu, Jasha Droppo, Andreas Stolcke:
Adversarial Reweighting for Speaker Verification Fairness. CoRR abs/2207.07776 (2022) - 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) - [c8]Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, Andreas Stolcke:
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition. Interspeech 2021: 4593-4597 - [i5]Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. CoRR abs/2103.04283 (2021) - [i4]Ruirui Li, Chelsea J.-T. Ju, Zeya Chen, Hongda Mao, Oguz Elibol, Andreas Stolcke:
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition. CoRR abs/2106.10169 (2021) - [i3]Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang:
Clinical Named Entity Recognition using Contextualized Token Representations. CoRR abs/2106.12608 (2021) - 2020
- [c7]Junheng Hao, Chelsea J.-T. Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang:
Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. BCB 2020: 42:1-42:10 - [c6]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 - [i2]Haici Yang, Hongda Mao, Ruirui Li, Chelsea J.-T. Ju, Oguz Elibol:
Non-local convolutional neural networks (nlcnn) for speaker recognition. CoRR abs/2011.03682 (2020)
2010 – 2019
- 2019
- [j2]Muhao Chen, Chelsea J.-T. Ju, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang:
Multifaceted protein-protein interaction prediction based on Siamese residual RCNN. Bioinform. 35(14): i305-i314 (2019) - [c5]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 - 2018
- [c4]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 - 2017
- [j1]Chelsea J.-T. Ju, Zhuangtian Zhao, Wei Wang:
Efficient Approach to Correct Read Alignment for Pseudogene Abundance Estimates. IEEE ACM Trans. Comput. Biol. Bioinform. 14(3): 522-533 (2017) - [c3]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 - [c2]Patrick Tan, Yichao Zhou, Xinxin Huang, Giuseppe M. Mazzeo, Chelsea Ju:
AZTEC: A Cloud-based Computational Platform to Integrate Biomedical Resources. ICDE 2017: 1365-1366 - [i1]Wei Wang, Brian Bleakley, Chelsea Ju, Vincent Kyi, Patrick Tan, Howard Choi, Xinxin Huang, Yichao Zhou, Justin Wood, Ding Wang, Alex Bui, Peipei Ping:
Aztec: A Platform to Render Biomedical Software Findable, Accessible, Interoperable, and Reusable. CoRR abs/1706.06087 (2017) - 2014
- [c1]Chelsea J.-T. Ju, Zhuangtian Zhao, Wei Wang:
PseudoLasso: leveraging read alignment in homologous regions to correct pseudogene expression estimates via RNASeq. BCB 2014: 569-578
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last updated on 2024-08-07 21:35 CEST by the dblp team
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