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Publication search results
found 47 matches
- 2024
- Zhiyuan Niu, Zhuo Deng, Weihao Gao, Shurui Bai, Zheng Gong, Chucheng Chen, Fuju Rong, Fang Li, Lan Ma:
FNeXter: A Multi-Scale Feature Fusion Network Based on ConvNeXt and Transformer for Retinal OCT Fluid Segmentation. Sensors 24(8): 2425 (2024) - Chu-Cheng Lin, Xinyi Wang, Jonathan H. Clark, Han Lu, Yun Zhu, Chenxi Whitehouse, Hongkun Yu:
Multitask Multilingual Model Adaptation with Featurized Low-Rank Mixtures. CoRR abs/2402.17934 (2024) - Yun Zhu, Jia-Chen Gu, Caitlin Sikora, Ho Ko, Yinxiao Liu, Chu-Cheng Lin, Lei Shu, Liangchen Luo, Lei Meng, Bang Liu, Jindong Chen:
Accelerating Inference of Retrieval-Augmented Generation via Sparse Context Selection. CoRR abs/2405.16178 (2024) - 2023
- Chu-Cheng Lin Lin:
A future for universal grapheme-phoneme transduction modeling with neuralized finite-state transducers. SIGMORPHON 2023: 249 - Weihao Gao, Zhuo Deng, Zhiyuan Niu, Fuju Rong, Chucheng Chen, Zheng Gong, Wenze Zhang, Daimin Xiao, Fang Li, Zhenjie Cao, Zhaoyi Ma, Wenbin Wei, Lan Ma:
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue. CoRR abs/2306.12174 (2023) - Mahmoud G. Salem, Jiayu Ye, Chu-Cheng Lin, Frederick Liu:
UT5: Pretraining Non autoregressive T5 with unrolled denoising. CoRR abs/2311.08552 (2023) - Chenxi Whitehouse, Fantine Huot, Jasmijn Bastings, Mostafa Dehghani, Chu-Cheng Lin, Mirella Lapata:
Parameter-Efficient Multilingual Summarisation: An Empirical Study. CoRR abs/2311.08572 (2023) - Yun Zhu, Nevan Wichers, Chu-Cheng Lin, Xinyi Wang, Tianlong Chen, Lei Shu, Han Lu, Canoee Liu, Liangchen Luo, Jindong Chen, Lei Meng:
SiRA: Sparse Mixture of Low Rank Adaptation. CoRR abs/2311.09179 (2023) - Weiting Tan, Chu-Cheng Lin, Jason Eisner:
Structure-Aware Path Inference for Neural Finite State Transducers. CoRR abs/2312.13614 (2023) - 2022
- Chu-Cheng Lin, Arya D. McCarthy:
On the Uncomputability of Partition Functions in Energy-Based Sequence Models. ICLR 2022 - Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. WSDM 2022: 316-324 - Yingqiang Ge, Xiaoting Zhao, Lucia Yu, Saurabh Paul, Diane Hu, Chu-Cheng Hsieh, Yongfeng Zhang:
Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. CoRR abs/2201.00140 (2022) - 2021
- Xu Liu, Congzhe Su, Amey Barapatre, Xiaoting Zhao, Diane Hu, Chu-Cheng Hsieh, Jingrui He:
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce. IEEE Data Eng. Bull. 44(2): 65-80 (2021) - Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner:
Limitations of Autoregressive Models and Their Alternatives. NAACL-HLT 2021: 5147-5173 - 2020
- 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 - 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 - Ruirui Li, Jyun-Yu Jiang, Jiahao Liu, Chu-Cheng Hsieh, Wei Wang:
Automatic Speaker Recognition with Limited Data. WSDM 2020: 340-348 - Chu-Cheng Lin, Aaron Jaech, Xin Li, Matthew R. Gormley, Jason Eisner:
Autoregressive Modeling is Misspecified for Some Sequence Distributions. CoRR abs/2010.11939 (2020) - 2019
- Can Liu, Chucheng Chen, Jianbin Lu, Xianhua Dai:
A New Channel Estimation Algorithm for Time-Varying Multi-Path Channel in MIMO-OFDM Systems. ICCT 2019: 69-74 - Chin-Pan Huang, Chaur-Heh Hsieh, Chu-Cheng Huang:
An Object Recall System Using RGBD Images. ICMLC 2019: 1-6 - Chu-Cheng Lin, Hao Zhu, Matthew R. Gormley, Jason Eisner:
Neural Finite-State Transducers: Beyond Rational Relations. NAACL-HLT (1) 2019: 272-283 - 2018
- Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Patrick Pantel:
Actionable Email Intent Modeling With Reparametrized RNNs. AAAI 2018: 4856-4864 - Wei Lee, Chien-Wei Chang, Po-An Yang, Chi-Hsuan Huang, Ming-Kuang Wu, Chu-Cheng Hsieh, Kun-Ta Chuang:
Effective Quality Assurance for Data Labels through Crowdsourcing and Domain Expert Collaboration. EDBT 2018: 646-649 - Zijun Xue, Ting-Yu Ko, Neo Yuchen, Ming-Kuang Daniel Wu, Chu-Cheng Hsieh:
Isa: Intuit Smart Agent, A Neural-Based Agent-Assist Chatbot. ICDM Workshops 2018: 1423-1428 - Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. NAACL-HLT 2018: 929-941 - Chu-Cheng Lin, Jason Eisner:
Neural Particle Smoothing for Sampling from Conditional Sequence Models. CoRR abs/1804.10747 (2018) - 2017
- Chucheng Zhang, Haoliang Cheng, Enyi Tang, Xin Chen, Lei Bu, Xuandong Li:
Sketch-guided GUI test generation for mobile applications. ASE 2017: 38-43 - Ying-Chun Lin, Chi-Hsuan Huang, Chu-Cheng Hsieh, Yu-Chen Shu, Kun-Ta Chuang:
Monetary Discount Strategies for Real-Time Promotion Campaign. WWW 2017: 1123-1132 - Chu-Cheng Lin, Dongyeop Kang, Michael Gamon, Madian Khabsa, Ahmed Hassan Awadallah, Patrick Pantel:
Actionable Email Intent Modeling with Reparametrized RNNs. CoRR abs/1712.09185 (2017) - 2015
- Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W. Black, Isabel Trancoso, Chu-Cheng Lin:
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. EMNLP 2015: 1367-1372
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