Dawen Liang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | LLM-based Conversational Recommendation Agents with Collaborative Verbalized Experience. | Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Nathan Kallus, Jundong Li |
| 2025 | ICML | A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents. | Kaiwen Wang, Dawen Liang, Nathan Kallus, Wen Sun |
| 2025 | WWW | Does Weighting Improve Matrix Factorization for Recommender Systems? | Alex Ayoub, Samuel Robertson, Dawen Liang, Harald Steck, Nathan Kallus |
| 2025 | WWW | Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems. | Yaochen Zhu, Chao Wan, Harald Steck, Dawen Liang, Yesu Feng, Nathan Kallus, Jundong Li |
| 2025 | WSDM | Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation. | Zhankui He, Zhouhang Xie, Harald Steck, Dawen Liang, Rahul Jha, Nathan Kallus, Julian J. McAuley |
| 2024 | ICML | Switching the Loss Reduces the Cost in Batch Reinforcement Learning. | Alex Ayoub, Kaiwen Wang, Vincent Liu, Samuel Robertson, James McInerney, Dawen Liang, Nathan Kallus, Csaba Szepesvri |
| 2024 | RecSys | Neighborhood-Based Collaborative Filtering for Conversational Recommendation. | Zhouhang Xie, Junda Wu, Hyunsik Jeon, Zhankui He, Harald Steck, Rahul Jha, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2024 | WWW | Off-Policy Evaluation for Large Action Spaces via Policy Convolution. | Noveen Sachdeva, Lequn Wang, Dawen Liang, Nathan Kallus, Julian J. McAuley |
| 2023 | CIKM | Large Language Models as Zero-Shot Conversational Recommenders. | Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley |
| 2021 | KDD | Bayesian Causal Inference for Real World Interactive Systems. | Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang |
| 2021 | RecSys | Negative Interactions for Improved Collaborative Filtering: Don't go Deeper, go Higher. | Harald Steck, Dawen Liang |
| 2020 | RecSys | Causal Inference for Recommender Systems. | Yixin Wang, Dawen Liang, Laurent Charlin, David M. Blei |
| 2019 | ICLR | Correlated Variational Auto-Encoders. | Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi |
| 2019 | ICML | Correlated Variational Auto-Encoders. | Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi |
| 2018 | AISTATS | On the challenges of learning with inference networks on sparse, high-dimensional data. | Rahul G. Krishnan, Dawen Liang, Matthew D. Hoffman |
| 2018 | WWW | Variational Autoencoders for Collaborative Filtering. | Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara |
| 2016 | RecSys | Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence. | Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei |
| 2016 | WWW | Modeling User Exposure in Recommendation. | Dawen Liang, Laurent Charlin, James McInerney, David M. Blei |
| 2015 | ICASSP | Speech dereverberation using a learned speech model. | Dawen Liang, Matthew D. Hoffman, Gautham J. Mysore |
| 2015 | ICML | Landmarking Manifolds with Gaussian Processes. | Dawen Liang, John W. Paisley |
| 2014 | ICASSP | Speech decoloration based on the product-of-filters model. | Dawen Liang, Daniel P. W. Ellis, Matthew D. Hoffman, Gautham J. Mysore |