Kwei-Herng Lai

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Outlier Detection

Reinforcement Learning

Top Venues

Publications

Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Qiaoyu Tan, Daochen Zha, Xia Hu
Understanding Different Design Choices in Training Large Time Series Models. CoRR (2024)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
Hessian-aware Quantized Node Embeddings for Recommendation. CoRR (2023)
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CIKM (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Ben Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR (2023)
Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
Context-aware Domain Adaptation for Time Series Anomaly Detection. CoRR (2023)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
Hessian-aware Quantized Node Embeddings for Recommendation. RecSys (2023)
Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
Data-centric AI: Techniques and Future Perspectives. KDD (2023)
Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
Tackling Diverse Minorities in Imbalanced Classification. CoRR (2023)
Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
Context-aware Domain Adaptation for Time Series Anomaly Detection. SDM (2023)
Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, Kwei-Herng Lai, Daochen Zha, Ruixiang Tang, Fan Yang, Alfredo Costilla-Reyes, Kaixiong Zhou, Xiaoqian Jiang, Xia Hu
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
Data-centric AI: Perspectives and Challenges. SDM (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
Data-centric Artificial Intelligence: A Survey. CoRR (2023)
Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
Data-centric AI: Perspectives and Challenges. CoRR (2023)
Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
Towards Assumption-free Bias Mitigation. CoRR (2023)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Towards Similarity-Aware Time-Series Classification. SDM (2022)
Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
Mitigating Relational Bias on Knowledge Graphs. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM (2022)
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla Reyes, Na Zou, Xia Hu
AutoVideo: An Automated Video Action Recognition System. IJCAI (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR (2022)
Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Hu
Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR (2022)
Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS (2022)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Towards Similarity-Aware Time-Series Classification. CoRR (2022)
Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
Adversarial Graph Perturbations for Recommendations at Scale. SIGIR (2022)
Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Hu
Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks (2021)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR (2021)
Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
AutoVideo: An Automated Video Action Recognition System. CoRR (2021)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. AAAI (2021)
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. CoRR (2020)
Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Hu
TODS: An Automated Time Series Outlier Detection System. CoRR (2020)
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD (2020)
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
Dual Policy Distillation. IJCAI (2020)
Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
Dual Policy Distillation. CoRR (2020)
Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu
RLCard: A Platform for Reinforcement Learning in Card Games. IJCAI (2020)
Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR (2020)
Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. ICDM (2020)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Experience Replay Optimization. IJCAI (2019)
Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
Experience Replay Optimization. CoRR (2019)
Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
RLCard: A Toolkit for Reinforcement Learning in Card Games. CoRR (2019)
Kwei-Herng Lai, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang
NavWalker: Information Augmented Network Embedding. WI (2018)
Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, Ming-Feng Tsai
Representation Learning for Image-based Music Recommendation. CoRR (2018)
Kwei-Herng Lai, Ting-Hsiang Wang, Heng-Yu Chi, Yian Chen, Ming-Feng Tsai, Chuan-Ju Wang
Superhighway: Bypass Data Sparsity in Cross-Domain CF. CoRR (2018)