Chongming Gao

Orcid: 0000-0002-5187-9196

According to our database1, Chongming Gao authored at least 26 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System.
ACM Trans. Inf. Syst., January, 2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.
CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.
CoRR, 2024

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems.
CoRR, 2024

2023
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion.
IEEE Trans. Big Data, April, 2023

Interactive active learning for fairness with partial group label.
AI Open, January, 2023

Embracing Uncertainty: Adaptive Vague Preference Policy Learning for Multi-round Conversational Recommendation.
CoRR, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RecAD: Towards A Unified Library for Recommender Attack and Defense.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Dynamic Target User Selection Model for Market Promotion with Multiple Stakeholders.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2023

2022
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models.
Knowl. Based Syst., 2022

KuaiRec: A Fully-observed Dataset for Recommender Systems.
CoRR, 2022

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Advances and challenges in conversational recommender systems: A survey.
AI Open, 2021

RecSys 2021 Tutorial on Conversational Recommendation: Formulation, Methods, and Evaluation.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020
Semantic trajectory representation and retrieval via hierarchical embedding.
Inf. Sci., 2020

Revisiting Representation Degeneration Problem in Language Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
Semantic trajectory compression via multi-resolution synchronization-based clustering.
Knowl. Based Syst., 2019

Generating Reliable Friends via Adversarial Training to Improve Social Recommendation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Online Budgeted Least Squares with Unlabeled Data.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

SemiSync: Semi-supervised Clustering by Synchronization.
Proceedings of the Database Systems for Advanced Applications, 2019

Towards Robust Arbitrarily Oriented Subspace Clustering.
Proceedings of the Database Systems for Advanced Applications, 2019

BLOMA: Explain Collaborative Filtering via Boosted Local Rank-One Matrix Approximation.
Proceedings of the Database Systems for Advanced Applications, 2019

2017
Synchronization-Inspired Co-Clustering and Its Application to Gene Expression Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017


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