| 2025 | CIKM | TriSeRec: A Tri-view Representation Learning Framework for Sequential/Session-based Recommendation. | Xinchen Yuan, Yichao Lu |
| 2024 | KDD | 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, Xin Luna Dong, Anuj Kumar |
| 2023 | RecSys | Robust User Engagement Modeling With Transformers and Self Supervision. | Yichao Lu, Maksims Volkovs |
| 2021 | ICCV | Context-aware Scene Graph Generation with Seq2Seq Transformers. | Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs |
| 2021 | NAACL | Pretrain-Finetune Based Training of Task-Oriented Dialogue Systems in a Real-World Setting. | Manisha Srivastava, Yichao Lu, Riley Peschon, Chenyang Li |
| 2021 | SIGdial | Weakly Supervised Extractive Summarization with Attention. | Yingying Zhuang, Yichao Lu, Simi Wang |
| 2020 | EMNLP | Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings. | Phillip Keung, Yichao Lu, Julian Salazar, Vikas Bhardwaj |
| 2020 | EMNLP | The Multilingual Amazon Reviews Corpus. | Phillip Keung, Yichao Lu, Gyrgy Szarvas, Noah A. Smith |
| 2020 | ICLR | Efficient and Information-Preserving Future Frame Prediction and Beyond. | Wei Yu, Yichao Lu, Steve Easterbrook, Sanja Fidler |
| 2019 | EMNLP | Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER. | Phillip Keung, Yichao Lu, Vikas Bhardwaj |
| 2019 | NAACL | 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, Vikas Bhardwaj |
| 2019 | RecSys | Robust contextual models for in-session personalization. | Maksims Volkovs, Anson Wong, Zhaoyue Cheng, Felipe Prez, Ilya Stanevich, Yichao Lu |
| 2018 | IUI | Convolutional Matrix Factorization for Recommendation Explanation. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2018 | RecSys | Why I like it: multi-task learning for recommendation and explanation. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2018 | RecSys | Two-stage Model for Automatic Playlist Continuation at Scale. | Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner |
| 2018 | WWW | Coevolutionary Recommendation Model: Mutual Learning between Ratings and Reviews. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2016 | SGAI | Context-Aware Sentiment Detection from Ratings. | Yichao Lu, Ruihai Dong, Barry Smyth |
| 2015 | ICML | Finding Linear Structure in Large Datasets with Scalable Canonical Correlation Analysis. | Zhuang Ma, Yichao Lu, Dean P. Foster |
| 2014 | ISCAS | An efficient decoder architecture for cyclic non-binary LDPC codes. | Yichao Lu, Guifen Tian, Satoshi Goto |
| 2014 | UAI | Fast Ridge Regression with Randomized Principal Component Analysis and Gradient Descent. | Yichao Lu, Dean P. Foster |
| 2013 | GLOBECOM | Informed dynamic scheduling for majority-logic decoding of non-binary LDPC codes. | Nanfan Qiu, Wen Chen, Yichao Lu, Yang Yu |