Yichao Lu

Orcid: 0009-0001-2005-1724

According to our database1, Yichao Lu authored at least 48 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Self-tallying e-voting with public traceability based on blockchain.
Comput. Stand. Interfaces, March, 2024

EgoQR: Efficient QR Code Reading in Egocentric Settings.
CoRR, 2024

Lumos: Empowering Multimodal LLMs with Scene Text Recognition.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network.
Nat. Mac. Intell., October, 2023

Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning.
Entropy, August, 2023

An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation.
CoRR, 2023

Robust User Engagement Modeling With Transformers and Self Supervision.
Proceedings of the ACM RecSys Challenge 2023, Singapore, 19 September 2023, 2023

2022
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network.
CoRR, 2022

2021
Learning to Transfer for Traffic Forecasting via Multi-task Learning.
CoRR, 2021

Weakly Supervised Extractive Summarization with Attention.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors.
Proceedings of the NeurIPS 2022 Competition Track, 2021


Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Context-aware Scene Graph Generation with Seq2Seq Transformers.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings.
Trans. Assoc. Comput. Linguistics, 2020

On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning.
CoRR, 2020

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances.
CoRR, 2020

Efficient and Information-Preserving Future Frame Prediction and Beyond.
Proceedings of the 8th International Conference on Learning Representations, 2020

The Multilingual Amazon Reviews Corpus.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Learning Effective Visual Relationship Detector on 1 GPU.
CoRR, 2019

CrevNet: Conditionally Reversible Video Prediction.
CoRR, 2019

Robust contextual models for in-session personalization.
Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019

Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A neural interlingua for multilingual machine translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Two-stage Model for Automatic Playlist Continuation at Scale.
Proceedings of the ACM Recommender Systems Challenge, 2018

Why I like it: multi-task learning for recommendation and explanation.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Convolutional Matrix Factorization for Recommendation Explanation.
Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion, 2018

2017
A practical approach to dialogue response generation in closed domains.
CoRR, 2017

2016
Context-Aware Sentiment Detection from Ratings.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

2015
Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Dynamic Check Message Majority-Logic Decoding Algorithm for Non-binary LDPC Codes.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014

Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

large scale canonical correlation analysis with iterative least squares.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

An efficient decoder architecture for cyclic non-binary LDPC codes.
Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

2013
Hybrid Message-Passing Algorithm and Architecture for Decoding Cyclic Non-binary LDPC Codes.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

New Subsampling Algorithms for Fast Least Squares Regression.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Informed dynamic scheduling for majority-logic decoding of non-binary LDPC codes.
Proceedings of the 2013 IEEE Global Communications Conference, 2013

A low-complexity coding scheme for non-binary LDPC code based on IDRB-MLGD algorithm.
Proceedings of the 9th International Conference on Information, 2013

2012
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States
CoRR, 2012

Distributed punctured LDPC coding scheme using novel shuffled decoding for MIMO relay channels.
Proceedings of the 20th European Signal Processing Conference, 2012

An efficient majority-logic based message-passing algorithm for non-binary LDPC decoding.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2012

2011
Ultra low power QC-LDPC decoder with high parallelism.
Proceedings of the IEEE 24th International SoC Conference, SOCC 2011, Taipei, Taiwan, 2011

A study on channel polarization and polar coding.
Proceedings of the 2011 IEEE 9th International Conference on ASIC, 2011


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