Yichao Lu - RankMe

59 papers A* 5A 3B 2C 2Journal 26Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GLIMPSE : Real-Time Text Recognition and Contextual Understanding for VQA in Wearables. CoRR Akhil Ramachandran, Ankit Arun, Ashish Shenoy, Abhay Harpale, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Yichao Lu, Vikas Bhardwaj, Peyman Heidari
2025	J	`jnl`	MOOSComp: Improving Lightweight Long-Context Compressor via Mitigating Over-Smoothing and Incorporating Outlier Scores. CoRR Fengwei Zhou, Jiafei Song, Wenjin Jason Li, Gengjian Xue, Zhikang Zhao, Yichao Lu, Bailin Na
2025	A	`conf`	TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation. CIKM Xinchen Yuan, Yichao Lu
2024	J	`jnl`	EgoQR: Efficient QR Code Reading in Egocentric Settings. CoRR Mohsen Moslehpour, Yichao Lu, Pierce Chuang, Ashish Shenoy, Debojeet Chatterjee, Abhay Harpale, Srihari Jayakumar, Vikas Bhardwaj, Seonghyeon Nam, Anuj Kumar
2024	J	`jnl`	Lumos : Empowering Multimodal LLMs with Scene Text Recognition. CoRR Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar
2024	A*	`conf`	Lumos: Empowering Multimodal LLMs with Scene Text Recognition. KDD Ashish Shenoy, Yichao Lu, Srihari Jayakumar, Debojeet Chatterjee, Mohsen Moslehpour, Pierce Chuang, Abhay Harpale, Vikas Bhardwaj, Di Xu, Shicong Zhao, Longfang Zhao, Ankit Ramchandani, Xin Luna Dong, Anuj Kumar
2024	J	`jnl`	Self-tallying e-voting with public traceability based on blockchain. Comput. Stand. Interfaces Yichao Lu, Huilin Li, Le Gao, Jiaxin Yu, Yong Yu, Hexing Su
2023	J	`jnl`	An Efficient Two-stage Gradient Boosting Framework for Short-term Traffic State Estimation. CoRR Yichao Lu
2023	J	`jnl`	Communication-Efficient and Privacy-Preserving Verifiable Aggregation for Federated Learning. Entropy Kaixin Peng, Xiaoying Shen, Le Gao, Baocang Wang, Yichao Lu
2023	J	`jnl`	Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network. Nat. Mac. Intell. 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, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2023	—	`conf`	Robust User Engagement Modeling With Transformers and Self Supervision. RecSys Challenge Yichao Lu, Maksims Volkovs
2023	J	`jnl`	Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR 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
2022	J	`jnl`	Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. CoRR Yichao Lu
2022	J	`jnl`	Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network. CoRR 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, Francisco Valente, Yangxinyu Xie, Rose Yu, Michael Kopp
2022	J	`jnl`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. CoRR 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, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	A*	`conf`	Context-aware Scene Graph Generation with Seq2Seq Transformers. ICCV Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs
2021	J	`jnl`	Learning to Transfer for Traffic Forecasting via Multi-task Learning. CoRR Yichao Lu
2021	—	`conf`	Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks. IEEE BigData Yichao Lu
2021	—	`conf`	Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting. NAACL-HLT (Industry Papers) Manisha Srivastava, Yichao Lu, Riley Peschon, Chenyang Li
2021	—	`conf`	Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes. NeurIPS (Competition and Demos) 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, Hai Le Vu, Reza Mohajerpoor, Chen Cai, Inhi Kim, Luca Hermes, Andrew Melnik, Riza Velioglu, Markus Vieth, Malte Schilling, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Jay Santokhi, Dylan Hillier, Yiming Yang, Joned Sarwar, Anna Jordan, Emil Hewage, David Jonietz, Fei Tang, Aleksandra Gruca, Michael Kopp, David P. Kreil, Sepp Hochreiter
2021	—	`conf`	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) 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
2021	B	`conf`	Weakly Supervised Extractive Summarization with Attention. SIGDIAL Yingying Zhuang, Yichao Lu, Simi Wang
2020	J	`jnl`	Attentional Speech Recognition Models Misbehave on Out-of-domain Utterances. CoRR Phillip Keung, Wei Niu, Yichao Lu, Julian Salazar, Vikas Bhardwaj
2020	—	`conf`	Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. EMNLP (1) Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj
2020	A*	`conf`	Efficient and Information-Preserving Future Frame Prediction and Beyond. ICLR Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler
2020	J	`jnl`	On the Evaluation of Contextual Embeddings for Zero-Shot Cross-Lingual Transfer Learning. CoRR Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj
2020	—	`conf`	The Multilingual Amazon Reviews Corpus. EMNLP (1) Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
2020	J	`jnl`	The Multilingual Amazon Reviews Corpus. CoRR Phillip Keung, Yichao Lu, György Szarvas, Noah A. Smith
2020	J	`jnl`	Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. CoRR Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith
2020	J	`jnl`	Unsupervised Bitext Mining and Translation via Self-trained Contextual Embeddings. Trans. Assoc. Comput. Linguistics Phillip Keung, Julian Salazar, Yichao Lu, Noah A. Smith
2019	—	`conf`	Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. EMNLP/IJCNLP (1) Phillip Keung, Yichao Lu, Vikas Bhardwaj
2019	J	`jnl`	Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. CoRR Phillip Keung, Yichao Lu, Vikas Bhardwaj
2019	J	`jnl`	CrevNet: Conditionally Reversible Video Prediction. CoRR Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler
2019	—	`conf`	Goal-Oriented End-to-End Conversational Models with Profile Features in a Real-World Setting. NAACL-HLT (2) Yichao Lu, Manisha Srivastava, Jared Kramer, Heba Elfardy, Andrea Kahn, Song Wang, Vikas Bhardwaj
2019	J	`jnl`	Learning Effective Visual Relationship Detector on 1 GPU. CoRR Yichao Lu, Cheng Chang, Himanshu Rai, Guangwei Yu, Maksims Volkovs
2019	—	`conf`	Robust contextual models for in-session personalization. RecSys Challenge Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Pérez, Ilya Stanevich, Yichao Lu
2018	—	`conf`	A neural interlingua for multilingual machine translation. WMT Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, Jason Sun
2018	J	`jnl`	A neural interlingua for multilingual machine translation. CoRR Yichao Lu, Phillip Keung, Faisal Ladhak, Vikas Bhardwaj, Shaonan Zhang, Jason Sun
2018	A*	`conf`	Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. WWW Yichao Lu, Ruihai Dong, Barry Smyth
2018	—	`conf`	Convolutional Matrix Factorization for Recommendation Explanation. IUI Companion Yichao Lu, Ruihai Dong, Barry Smyth
2018	—	`conf`	Two-stage Model for Automatic Playlist Continuation at Scale. RecSys Challenge Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner
2018	A	`conf`	Why I like it: multi-task learning for recommendation and explanation. RecSys Yichao Lu, Ruihai Dong, Barry Smyth
2017	J	`jnl`	A practical approach to dialogue response generation in closed domains. CoRR Yichao Lu, Phillip Keung, Shaonan Zhang, Jason Sun, Vikas Bhardwaj
2016	—	`conf`	Context-Aware Sentiment Detection from Ratings. SGAI Conf. Yichao Lu, Ruihai Dong, Barry Smyth
2015	A*	`conf`	Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis. ICML Zhuang Ma, Yichao Lu, Dean P. Foster
2014	C	`conf`	An efficient decoder architecture for cyclic non-binary LDPC codes. ISCAS Yichao Lu, Guifen Tian, Satoshi Goto
2014	J	`jnl`	Dynamic Check Message Majority-Logic Decoding Algorithm for Non-binary LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Yichao Lu, Xiao Peng, Guifen Tian, Satoshi Goto
2014	A	`conf`	Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. UAI Yichao Lu, Dean P. Foster
2014	—	`conf`	large scale canonical correlation analysis with iterative least squares. NIPS Yichao Lu, Dean P. Foster
2013	C	`conf`	A low-complexity coding scheme for non-binary LDPC code based on IDRB-MLGD algorithm. ICICS Xin Xiao, Yichao Lu, Satoshi Goto
2013	—	`conf`	Faster Ridge Regression via the Subsampled Randomized Hadamard Transform. NIPS Yichao Lu, Paramveer S. Dhillon, Dean P. Foster, Lyle H. Ungar
2013	J	`jnl`	Hybrid Message-Passing Algorithm and Architecture for Decoding Cyclic Non-binary LDPC Codes. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Yichao Lu, Gang He, Guifen Tian, Satoshi Goto
2013	B	`conf`	Informed dynamic scheduling for majority-logic decoding of non-binary LDPC codes. GLOBECOM Nanfan Qiu, Wen Chen, Yichao Lu, Yang Yu
2013	—	`conf`	New Subsampling Algorithms for Fast Least Squares Regression. NIPS Paramveer S. Dhillon, Yichao Lu, Dean P. Foster, Lyle H. Ungar
2012	—	`conf`	An efficient majority-logic based message-passing algorithm for non-binary LDPC decoding. APCCAS Yichao Lu, Nanfan Qiu, Zhixiang Chen, Satoshi Goto
2012	—	`conf`	Distributed punctured LDPC coding scheme using novel shuffled decoding for MIMO relay channels. EUSIPCO Nanfan Qiu, Xiao Peng, Yichao Lu, Satoshi Goto
2012	J	`jnl`	Optimal Weighting of Multi-View Data with Low Dimensional Hidden States CoRR Yichao Lu, Dean P. Foster
2011	—	`conf`	A study on channel polarization and polar coding. ASICON Yichao Lu, Satoshi Goto
2011	—	`conf`	Ultra low power QC-LDPC decoder with high parallelism. SoCC Ying Cui, Xiao Peng, Zhixiang Chen, Xiongxin Zhao, Yichao Lu, Dajiang Zhou, Satoshi Goto