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Yichao Lu
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2020 – today
- 2024
- [j6]Yichao Lu
, Huilin Li
Self-tallying e-voting with public traceability based on blockchain. Comput. Stand. Interfaces 88: 103795 (2024) - [c32]Ashish Shenoy
Lumos: Empowering Multimodal LLMs with Scene Text Recognition. KDD 2024: 5690-5700 - [i18]Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale
Lumos : Empowering Multimodal LLMs with Scene Text Recognition. CoRR abs/2402.08017 (2024) - [i17]Mohsen Moslehpour, Yichao Lu, Pierce Chuang, Ashish Shenoy, Debojeet Chatterjee, Abhay Harpale, Srihari Jayakumar, Vikas Bhardwaj, Seonghyeon Nam, Anuj Kumar:
EgoQR: Efficient QR Code Reading in Egocentric Settings. CoRR abs/2410.05497 (2024) - 2023
- [j5]Kaixin Peng, Xiaoying Shen, Le Gao
Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning. Entropy 25(8): 1125 (2023) - [j4]Mario Krenn
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 5(11): 1326-1335 (2023) - [c31]Yichao Lu
Robust User Engagement Modeling With Transformers and Self Supervision. RecSys Challenge 2023: 23-27 - [i16]Yichao Lu:
An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation. CoRR abs/2302.10400 (2023) - [i15]Moritz Neun, Christian Eichenberger
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - 2022
- [i14]Yichao Lu:
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. CoRR abs/2201.05743 (2022) - [i13]Christian Eichenberger
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR abs/2203.17070 (2022) - [i12]Mario Krenn, Lorenzo Buffoni
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR abs/2210.00881 (2022) - 2021
- [c30]Yichao Lu:
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. IEEE BigData 2021: 5809-5814 - [c29]Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guang Wei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs:
Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV 2021: 15911-15921 - [c28]Manisha Srivastava, Yichao Lu, Riley Peschon, Chenyang Li:
Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting. NAACL-HLT (Industry Papers) 2021: 34-40 - [c27]Christian Eichenberger, Moritz Neun, Henry Martin, Pedro Herruzo, Markus Spanring, Yichao Lu, Sungbin Choi, Vsevolod Konyakhin, Nina Lukashina, Aleksei Shpilman, Nina Wiedemann, Martin Raubal, Bo Wang
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 2021: 97-112 - [c26]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) 2021: 251-278 - [c25]Yingying Zhuang, Yichao Lu, Simi Wang:
Weakly Supervised Extractive Summarization with Attention. SIGDIAL 2021: 520-529 - [i11]Yichao Lu:
Learning to Transfer for Traffic Forecasting via Multi-task Learning. CoRR abs/2111.15542 (2021) - 2020
- [j3]Phillip Keung, Julian Salazar
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. Trans. Assoc. Comput. Linguistics 8: 828-841 (2020) - [c24]Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj:
Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. EMNLP (1) 2020: 549-554 - [c23]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. EMNLP (1) 2020: 4563-4568 - [c22]Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler:
Efficient and Information-Preserving Future Frame Prediction and Beyond. ICLR 2020 - [i10]Phillip Keung, Wei Niu, Yichao Lu, Julian Salazar, Vikas Bhardwaj:
Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances. CoRR abs/2002.05150 (2020) - [i9]Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj:
On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning. CoRR abs/2004.15001 (2020) - [i8]Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith:
The Multilingual Amazon Reviews Corpus. CoRR abs/2010.02573 (2020) - [i7]Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith:
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. CoRR abs/2010.07761 (2020)
2010 – 2019
- 2019
- [c21]Phillip Keung, Yichao Lu, Vikas Bhardwaj:
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. EMNLP/IJCNLP (1) 2019: 1355-1360 - [c20]Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj:
Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting. NAACL-HLT (2) 2019: 48-55 - [c19]Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Pérez, Ilya Stanevich, Yichao Lu:
Robust contextual models for in-session personalization. RecSys Challenge 2019: 2:1-2:5 - [i6]Phillip Keung, Yichao Lu, Vikas Bhardwaj:
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. CoRR abs/1909.00153 (2019) - [i5]Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler:
CrevNet: Conditionally Reversible Video Prediction. CoRR abs/1910.11577 (2019) - [i4]Yichao Lu, Cheng Chang, Himanshu Rai, Guang Wei Yu, Maksims Volkovs:
Learning Effective Visual Relationship Detector on 1 GPU. CoRR abs/1912.06185 (2019) - 2018
- [c18]Yichao Lu, Ruihai Dong, Barry Smyth:
Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion 2018: 34:1-34:2 - [c17]Yichao Lu, Ruihai Dong, Barry Smyth:
Why I like it: multi-task learning for recommendation and explanation. RecSys 2018: 4-12 - [c16]Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu
Two-stage Model for Automatic Playlist Continuation at Scale. RecSys Challenge 2018: 9:1-9:6 - [c15]Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, Jason Sun:
A neural interlingua for multilingual machine translation. WMT 2018: 84-92 - [c14]Yichao Lu, Ruihai Dong, Barry Smyth:
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW 2018: 773-782 - [i3]Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, Jason Sun:
A neural interlingua for multilingual machine translation. CoRR abs/1804.08198 (2018) - 2017
- [i2]Yichao Lu, Phillip Keung, Shaonan Zhang, Jason Sun, Vikas Bhardwaj:
A practical approach to dialogue response generation in closed domains. CoRR abs/1703.09439 (2017) - 2016
- [c13]Yichao Lu, Ruihai Dong, Barry Smyth:
Context-Aware Sentiment Detection from Ratings. SGAI Conf. 2016: 87-101 - 2015
- [c12]Zhuang Ma, Yichao Lu, Dean P. Foster:
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis. ICML 2015: 169-178 - 2014
- [j2]Yichao Lu, Xiao Peng, Guifen Tian, Satoshi Goto:
Dynamic Check Message Majority-Logic Decoding Algorithm for Non-binary LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 97-A(6): 1356-1364 (2014) - [c11]Yichao Lu, Guifen Tian, Satoshi Goto:
An efficient decoder architecture for cyclic non-binary LDPC codes. ISCAS 2014: 397-400 - [c10]Yichao Lu, Dean P. Foster:
large scale canonical correlation analysis with iterative least squares. NIPS 2014: 91-99 - [c9]Yichao Lu, Dean P. Foster:
Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. UAI 2014: 525-532 - 2013
- [j1]Yichao Lu, Gang He, Guifen Tian, Satoshi Goto:
Hybrid Message-Passing Algorithm and Architecture for Decoding Cyclic Non-binary LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 96-A(12): 2652-2659 (2013) - [c8]Xin Xiao, Yichao Lu, Satoshi Goto:
A low-complexity coding scheme for non-binary LDPC code based on IDRB-MLGD algorithm. ICICS 2013: 1-5 - [c7]Nanfan Qiu, Wen Chen, Yichao Lu, Yang Yu:
Informed dynamic scheduling for majority-logic decoding of non-binary LDPC codes. GLOBECOM 2013: 1874-1878 - [c6]Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar:
New Subsampling Algorithms for Fast Least Squares Regression. NIPS 2013: 360-368 - [c5]Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar:
Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. NIPS 2013: 369-377 - 2012
- [c4]Yichao Lu, Nanfan Qiu, Zhixiang Chen, Satoshi Goto:
An efficient majority-logic based message-passing algorithm for non-binary LDPC decoding. APCCAS 2012: 479-482 - [c3]Nanfan Qiu, Xiao Peng, Yichao Lu, Satoshi Goto:
Distributed punctured LDPC coding scheme using novel shuffled decoding for MIMO relay channels. EUSIPCO 2012: 1404-1408 - [i1]Yichao Lu, Dean P. Foster:
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States. CoRR abs/1209.5477 (2012) - 2011
- [c2]Yichao Lu, Satoshi Goto:
A study on channel polarization and polar coding. ASICON 2011: 804-807 - [c1]Ying Cui, Xiao Peng, Zhixiang Chen, Xiongxin Zhao, Yichao Lu, Dajiang Zhou, Satoshi Goto:
Ultra low power QC-LDPC decoder with high parallelism. SoCC 2011: 142-145
Coauthor Index
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last updated on 2024-11-19 20:46 CET by the dblp team
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