2024
The 1st Workshop on Human-Centered Recommender Systems.
CoRR, 2024
Fact-Level Confidence Calibration and Self-Correction.
CoRR, 2024
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks.
CoRR, 2024
MITA: Bridging the Gap between Model and Data for Test-time Adaptation.
CoRR, 2024
LoRec: Large Language Model for Robust Sequential Recommendation against Poisoning Attacks.
CoRR, 2024
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts for Open-Domain QA?
CoRR, 2024
Unlink to Unlearn: Simplifying Edge Unlearning in GNNs.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets.
Proceedings of the ACM on Web Conference 2024, 2024
LoRec: Combating Poisons with Large Language Model for Robust Sequential Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Improving the Shortest Plank: Vulnerability-Aware Adversarial Training for Robust Recommender System.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Accelerating the Surrogate Retraining for Poisoning Attacks against Recommender Systems.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
MMGCL: Meta Knowledge-Enhanced Multi-view Graph Contrastive Learning for Recommendations.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
The Fall of ROME: Understanding the Collapse of LLMs in Model Editing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
History Driven Sampling for Scalable Graph Neural Networks.
Proceedings of the Database Systems for Advanced Applications, 2024
TEA: Test-Time Energy Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
When to Trust LLMs: Aligning Confidence with Response Quality.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adversarial camouflage for node injection attack on graphs.
Inf. Sci., November, 2023
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation.
ACM Trans. Inf. Syst., 2023
Graph Neural Networks in Recommender Systems: A Survey.
ACM Comput. Surv., 2023
Robust Recommender System: A Survey and Future Directions.
CoRR, 2023
A Large Language Model Enhanced Conversational Recommender System.
CoRR, 2023
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method.
CoRR, 2023
ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Semantic Models for the First-Stage Retrieval: A Comprehensive Review.
ACM Trans. Inf. Syst., 2022
Multi-interest Diversification for End-to-end Sequential Recommendation.
ACM Trans. Inf. Syst., 2022
LegoNet: A Fast and Exact Unlearning Architecture.
CoRR, 2022
Proactively Control Privacy in Recommender Systems.
CoRR, 2022
Recommendation Unlearning.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Contrastive Learning for Sequential Recommendation.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
XDM: Improving Sequential Deep Matching with Unclicked User Behaviors for Recommender System.
Proceedings of the Database Systems for Advanced Applications, 2022
2021
Counterfactual Evaluation for Explainable AI.
CoRR, 2021
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation.
CoRR, 2021
GRN: Generative Rerank Network for Context-wise Recommendation.
CoRR, 2021
Variation Control and Evaluation for Generative SlateRecommendations.
CoRR, 2021
Revisit Recommender System in the Permutation Prospective.
CoRR, 2021
Variation Control and Evaluation for Generative Slate Recommendations.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Towards Long-term Fairness in Recommendation.
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Proceedings of the WSDM '21, 2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Explore User Neighborhood for Real-time E-commerce Recommendation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
2020
Graph-based Regularization on Embedding Layers for Recommendation.
ACM Trans. Inf. Syst., 2020
Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020.
SIGIR Forum, 2020
Graph Neural Networks in Recommender Systems: A Survey.
CoRR, 2020
Contrastive Pre-training for Sequential Recommendation.
CoRR, 2020
Unclicked User Behaviors Enhanced Sequential Recommendation.
CoRR, 2020
NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020
Understanding Echo Chambers in E-commerce Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Learning Personalized Risk Preferences for Recommendation.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Node Conductance: A Scalable Node Centrality Measure on Big Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Privileged Features Distillation at Taobao Recommendations.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Intent Preference Decoupling for User Representation on Online Recommender System.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Ranking Enhanced Dialogue Generation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Improving End-to-End Sequential Recommendations with Intent-aware Diversification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020
Be Relevant, Non-Redundant, and Timely: Deep Reinforcement Learning for Real-Time Event Summarization.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Compositional Network Embedding.
CoRR, 2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems.
CoRR, 2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems.
CoRR, 2019
Value-aware Recommendation based on Reinforcement Profit Maximization.
Proceedings of the World Wide Web Conference, 2019
Personalized re-ranking for recommendation.
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Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Compositional network embedding for link prediction.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019
Exact-K Recommendation via Maximal Clique Optimization.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Tag2Gauss: Learning Tag Representations via Gaussian Distribution in Tagged Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Deep Session Interest Network for Click-Through Rate Prediction.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
SDM: Sequential Deep Matching Model for Online Large-scale Recommender System.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Improving Multi-turn Dialogue Modelling with Utterance ReWriter.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
Multi-Source Pointer Network for Product Title Summarization.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018
2016
Semantic Regularities in Document Representations.
CoRR, 2016
Sparse Word Embeddings Using ℓ<sub>1</sub> Regularized Online Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
A hybrid approach for content extraction with text density and visual importance of DOM nodes.
Knowl. Inf. Syst., 2015
Component-Enhanced Chinese Character Embeddings.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015
2011
DOM based content extraction via text density.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011