A study on channel polarization and polar coding. - Yichao Lu; Satoshi Goto (ASICON, 2011)

Ultra low power QC-LDPC decoder with high parallelism. - Ying Cui; Xiao Peng 002; Zhixiang Chen 002; Xiongxin Zhao; Yichao Lu; Dajiang Zhou; Satoshi Goto (SoCC, 2011)

An efficient majority-logic based message-passing algorithm for non-binary LDPC decoding. - Yichao Lu; Nanfan Qiu; Zhixiang Chen 002; Satoshi Goto (APCCAS, 2012)

Distributed punctured LDPC coding scheme using novel shuffled decoding for MIMO relay channels. - Nanfan Qiu; Xiao Peng 002; Yichao Lu; Satoshi Goto (EUSIPCO, 2012)

Optimal Weighting of Multi-View Data with Low Dimensional Hidden States - Yichao Lu; Dean P. Foster (CoRR, 2012)

A low-complexity coding scheme for non-binary LDPC code based on IDRB-MLGD algorithm. - Xin Xiao; Yichao Lu; Satoshi Goto (ICICS, 2013)

Informed dynamic scheduling for majority-logic decoding of non-binary LDPC codes. - Nanfan Qiu; Wen Chen 001; Yichao Lu; Yang Yu 041 (GLOBECOM, 2013)

New Subsampling Algorithms for Fast Least Squares Regression. - Paramveer S. Dhillon; Yichao Lu; Dean P. Foster; Lyle H. Ungar (NIPS, 2013)

Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. - Yichao Lu; Paramveer S. Dhillon; Dean P. Foster; Lyle H. Ungar (NIPS, 2013)

Hybrid Message-Passing Algorithm and Architecture for Decoding Cyclic Non-binary LDPC Codes. - Yichao Lu; Gang He 002; Guifen Tian; Satoshi Goto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013)

An efficient decoder architecture for cyclic non-binary LDPC codes. - Yichao Lu; Guifen Tian; Satoshi Goto (ISCAS, 2014)

large scale canonical correlation analysis with iterative least squares. - Yichao Lu; Dean P. Foster (NIPS, 2014)

Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. - Yichao Lu; Dean P. Foster (UAI, 2014)

Dynamic Check Message Majority-Logic Decoding Algorithm for Non-binary LDPC Codes. - Yichao Lu; Xiao Peng 002; Guifen Tian; Satoshi Goto (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis. - Zhuang Ma; Yichao Lu; Dean P. Foster (ICML, 2015)

Context-Aware Sentiment Detection from Ratings. - Yichao Lu; Ruihai Dong; Barry Smyth (SGAI Conf., 2016)

A practical approach to dialogue response generation in closed domains. - Yichao Lu; Phillip Keung; Shaonan Zhang; Jason Sun; Vikas Bhardwaj (CoRR, 2017)

Convolutional Matrix Factorization for Recommendation Explanation. - Yichao Lu; Ruihai Dong; Barry Smyth (IUI Companion, 2018)

Why I like it: multi-task learning for recommendation and explanation. - Yichao Lu; Ruihai Dong; Barry Smyth (RecSys, 2018)

Two-stage Model for Automatic Playlist Continuation at Scale. - Maksims Volkovs; Himanshu Rai; Zhaoyue Cheng; Ga Wu; Yichao Lu; Scott Sanner (RecSys Challenge, 2018)

A neural interlingua for multilingual machine translation. - Yichao Lu; Phillip Keung; Faisal Ladhak; Vikas Bhardwaj; Shaonan Zhang; Jason Sun (WMT, 2018)

Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. - Yichao Lu; Ruihai Dong; Barry Smyth (WWW, 2018)

Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. - Phillip Keung; Yichao Lu; Vikas Bhardwaj (EMNLP/IJCNLP (1), 2019)

Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting. - Yichao Lu; Manisha Srivastava; Jared Kramer; Heba Elfardy; Andrea Kahn; Song Wang 012; Vikas Bhardwaj (NAACL-HLT (2), 2019)

Robust contextual models for in-session personalization. - Maksims Volkovs; Anson Wong; Zhaoyue Cheng; Felipe Pérez; Ilya Stanevich; Yichao Lu (RecSys Challenge, 2019)

CrevNet: Conditionally Reversible Video Prediction. - Wei Yu; Yichao Lu; Steve Easterbrook; Sanja Fidler (CoRR, 2019)

Learning Effective Visual Relationship Detector on 1 GPU. - Yichao Lu; Cheng Chang; Himanshu Rai; Guangwei Yu; Maksims Volkovs (CoRR, 2019)

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. - Phillip Keung; Yichao Lu; Julian Salazar; Vikas Bhardwaj (EMNLP (1), 2020)

The Multilingual Amazon Reviews Corpus. - Phillip Keung; Yichao Lu; György Szarvas; Noah A. Smith (EMNLP (1), 2020)

Efficient and Information-Preserving Future Frame Prediction and Beyond. - Wei Yu; Yichao Lu; Steve Easterbrook; Sanja Fidler (ICLR, 2020)

Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances. - Phillip Keung; Wei Niu; Yichao Lu; Julian Salazar; Vikas Bhardwaj (CoRR, 2020)

On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning. - Phillip Keung; Yichao Lu; Julian Salazar; Vikas Bhardwaj (CoRR, 2020)

Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. - Phillip Keung; Julian Salazar; Yichao Lu; Noah A. Smith (Trans. Assoc. Comput. Linguistics, 2020)

Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. - Yichao Lu (IEEE BigData, 2021)

Context-aware Scene Graph Generation with Seq2Seq Transformers. - Yichao Lu; Himanshu Rai; Jason Chang; Boris Knyazev 001; Guangwei Yu; Shashank Shekhar 005; Graham W. Taylor; Maksims Volkovs (ICCV, 2021)

Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting. - Manisha Srivastava; Yichao Lu; Riley Peschon; Chenyang Li (NAACL-HLT (Industry Papers), 2021)

Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. - Christian Eichenberger; Moritz Neun; Henry Martin; Pedro Herruzo; Markus Spanring; Yichao Lu; Sungbin Choi; Vsevolod Konyakhin; Nina Lukashina; Aleksei Shpilman; Nina Wiedemann; Martin Raubal; et al. (NeurIPS (Competition and Demos), 2021)

Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. - Moritz Neun; Christian Eichenberger; Henry Martin; Markus Spanring; Rahul Siripurapu; Daniel Springer; Leyan Deng; Chenwang Wu; Defu Lian; Min Zhou 006; Martin Lumiste; Andrei Ilie; et al. (NeurIPS (Competition and Demos), 2021)

Weakly Supervised Extractive Summarization with Attention. - Yingying Zhuang; Yichao Lu; Simi Wang (SIGDIAL, 2021)

Learning to Transfer for Traffic Forecasting via Multi-task Learning. - Yichao Lu (CoRR, 2021)

Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (CoRR, 2022)

Robust User Engagement Modeling With Transformers and Self Supervision. - Yichao Lu; Maksims Volkovs (RecSys Challenge, 2023)

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

Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning. - Kaixin Peng; Xiaoying Shen; Le Gao; Baocang Wang; Yichao Lu (Entropy, 2023)

Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. - Mario Krenn; Lorenzo Buffoni; Bruno C. Coutinho; Sagi Eppel; Jacob Gates Foster; Andrew Gritsevskiy; Harlin Lee; Yichao Lu; João P. Moutinho; Nima Sanjabi; Rishi Sonthalia; Ngoc Mai Tran; et al. (Nat. Mac. Intell., 2023)

Lumos: Empowering Multimodal LLMs with Scene Text Recognition. - Ashish Shenoy; Yichao Lu; Srihari Jayakumar; Debojeet Chatterjee; Mohsen Moslehpour; Pierce Chuang; Abhay Harpale; Vikas Bhardwaj; Di Xu; Shicong Zhao; Longfang Zhao; Ankit Ramchandani; et al. (KDD, 2024)

EgoQR: Efficient QR Code Reading in Egocentric Settings. - Mohsen Moslehpour; Yichao Lu; Pierce Chuang; Ashish Shenoy; Debojeet Chatterjee; Abhay Harpale; Srihari Jayakumar; Vikas Bhardwaj; Seonghyeon Nam; Anuj Kumar (CoRR, 2024)

Self-tallying e-voting with public traceability based on blockchain. - Yichao Lu; Huilin Li; Le Gao; Jiaxin Yu; Yong Yu 002; Hexing Su (Comput. Stand. Interfaces, 2024)

MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores. - Fengwei Zhou; Jiafei Song; Wenjin Jason Li; Gengjian Xue; Zhikang Zhao; Yichao Lu; Bailin Na (CoRR, 2025)