Zuohui Fu

Orcid: 0000-0002-3881-7935

According to our database1, Zuohui Fu authored at least 49 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability.
ACM Trans. Inf. Syst., January, 2024

2023
Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Causal Collaborative Filtering.
Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

VIP5: Towards Multimodal Foundation Models for Recommendation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
A Survey on Trustworthy Recommender Systems.
CoRR, 2022

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Fairness in Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Assessing Combinational Generalization of Language Models in Biased Scenarios.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Dynamic Causal Collaborative Filtering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Improving Personalized Explanation Generation through Visualization.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Context-Aware Interaction Network for Question Matching.
CoRR, 2021

RomeBERT: Robust Training of Multi-Exit BERT.
CoRR, 2021

Discrete Knowledge Graph Embedding based on Discrete Optimization.
CoRR, 2021

Efficient Non-Sampling Knowledge Graph Embedding.
Proceedings of the WWW '21: The Web Conference 2021, 2021

User-oriented Fairness in Recommendation.
Proceedings of the WWW '21: The Web Conference 2021, 2021

WSDM 2021 Tutorial on Conversational Recommendation Systems.
Proceedings of the WSDM '21, 2021

FedCT: Federated Collaborative Transfer for Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Faithfully Explainable Recommendation via Neural Logic Reasoning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Dense Contrastive Visual-Linguistic Pretraining.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

EXACTA: Explainable Column Annotation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

IUI 2021 Tutorial on Conversational Recommendation Systems.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Context-Aware Interaction Network for Question Matching.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Data Augmentation with Adversarial Training for Cross-Lingual NLI.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce.
CoRR, 2020

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce.
CoRR, 2020

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation.
CoRR, 2020

Contrastive Visual-Linguistic Pretraining.
CoRR, 2020

Learning Post-Hoc Causal Explanations for Recommendation.
CoRR, 2020

Character Matters: Video Story Understanding with Character-Aware Relations.
CoRR, 2020

Learning Personalized Risk Preferences for Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Fairness-Aware Explainable Recommendation over Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Tutorial on Conversational Recommendation Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

HID: Hierarchical Multiscale Representation Learning for Information Diffusion.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Enhanced Sentence Alignment Network for Efficient Short Text Matching.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019

Maximizing Marginal Utility per Dollar for Economic Recommendation.
Proceedings of the World Wide Web Conference, 2019

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2016
RadioHound: A Pervasive Sensing Network for Sub-6 GHz Dynamic Spectrum Monitoring.
CoRR, 2016

2013
Transmission capacity of device-to-device communication under heterogeneous networks with cellular users assisted.
Proceedings of the Workshops Proceedings of the Global Communications Conference, 2013


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