Recommender Systems
Information Retrieval
Natural Language Processing
Machine Learning
Journal Articles
(2023)
Saliency as Pseudo-Pixel Supervision for Weakly and Semi-Supervised Semantic Segmentation.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE.
45,
10
(2023)
Your lottery ticket is damaged: Towards all-alive pruning for extremely sparse networks.
INFORMATION SCIENCES.
634,
(2023)
CoMix: Collaborative filtering with mixup for implicit datasets.
INFORMATION SCIENCES.
628,
(2022)
Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation.
KNOWLEDGE AND INFORMATION SYSTEMS.
64,
5
(2021)
Distilling from professors: Enhancing the knowledge distillation of teachers.
INFORMATION SCIENCES.
576,
1
Conference Paper
(2023)
GLEN: Generative Retrieval via Lexical Index Learning.
Empirical Methods in Natural Language Processing.
SINGAPORE
(2023)
It Ain’t Over: A Multi-aspect Diverse MathWord Problem Dataset.
Empirical Methods in Natural Language Processing.
SINGAPORE
(2023)
Forgetting-aware Linear Bias for Attentive Knowledge Tracing.
ACM Conference on Information and Knowledge Management.
UNITED KINGDOM
(2023)
Toward a Better Understanding of Loss Functions for Collaborative Filtering.
ACM Conference on Information and Knowledge Management.
UNITED KINGDOM
(2023)
ConQueR: Contextualized Query Reduction using Search Logs.
ACM SIGIR Conference on Information Retrieval.
CHINA
(2023)
It’s Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation.
ACM SIGIR Conference on Information Retrieval.
CHINA
(2023)
uCTRL: Unbiased Contrastive Representation Learning via Alignment and Uniformity for Collaborative Filtering.
ACM SIGIR Conference on Information Retrieval.
CHINA
(2022)
Long-tail Mixup for Extreme Multi-label Classification.
ACM Conference on Information and Knowledge Management.
UNITED STATES
(2022)
SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval.
ACM Conference on Information and Knowledge Management.
UNITED STATES
(2022)
Logit Mixing Training for More Reliable and Accurate Prediction.
International Joint Conference on Artificial Intelligence.
UNITED STATES
(2022)
Bilateral Self-unbiased Learning from Biased Implicit Feedback.
ACM SIGIR Conference on Information Retrieval.
KOREA, REPUBLIC OF
(2022)
S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks.
ACM International Conference on Web Search and Data Mining.
UNITED STATES
(2021)
Dual Unbiased Recommender Learning for Implicit Feedback.
ACM SIGIR Conference on Information Retrieval.
UNITED STATES
(2021)
Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation.
Conference on Computer Vision and Pattern Recognition.
UNITED STATES
(2021)
MelBERT: Metaphor Detection via Contextualized Late Interaction using Metaphorical Identification Theories.
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
UNITED STATES
