Kwei-Herng Lai

Orcid: 0000-0001-8933-7117

According to our database1, Kwei-Herng Lai authored at least 29 papers between 2018 and 2023.

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

Timeline

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Bibliography

2023
CODA: Temporal Domain Generalization via Concept Drift Simulator.
CoRR, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
CoRR, 2023

Towards Assumption-free Bias Mitigation.
CoRR, 2023

Data-centric Artificial Intelligence: A Survey.
CoRR, 2023

Data-centric AI: Perspectives and Challenges.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Context-aware Domain Adaptation for Time Series Anomaly Detection.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Hessian-aware Quantized Node Embeddings for Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Data-centric AI: Techniques and Future Perspectives.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Tackling Diverse Minorities in Imbalanced Classification.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Mitigating Relational Bias on Knowledge Graphs.
CoRR, 2022

Adversarial Graph Perturbations for Recommendations at Scale.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Similarity-Aware Time-Series Classification.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

DreamShard: Generalizable Embedding Table Placement for Recommender Systems.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AutoVideo: An Automated Video Action Recognition System.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
AutoVideo: An Automated Video Action Recognition System.
CoRR, 2021

Simplifying Deep Reinforcement Learning via Self-Supervision.
CoRR, 2021

Revisiting Time Series Outlier Detection: Definitions and Benchmarks.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

TODS: An Automated Time Series Outlier Detection System.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Policy-GNN: Aggregation Optimization for Graph Neural Networks.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

RLCard: A Platform for Reinforcement Learning in Card Games.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Dual Policy Distillation.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
RLCard: A Toolkit for Reinforcement Learning in Card Games.
CoRR, 2019

Experience Replay Optimization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Superhighway: Bypass Data Sparsity in Cross-Domain CF.
CoRR, 2018

Representation Learning for Image-based Music Recommendation.
CoRR, 2018

NavWalker: Information Augmented Network Embedding.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018


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