NavWalker: Information Augmented Network Embedding. - Kwei-Herng Lai; Chih-Ming Chen 003; Ming-Feng Tsai; Chuan-Ju Wang (WI, 2018)

Representation Learning for Image-based Music Recommendation. - Chih-Chun Hsia; Kwei-Herng Lai; Yian Chen; Chuan-Ju Wang; Ming-Feng Tsai (CoRR, 2018)

Superhighway: Bypass Data Sparsity in Cross-Domain CF. - Kwei-Herng Lai; Ting-Hsiang Wang; Heng-Yu Chi; Yian Chen; Ming-Feng Tsai; Chuan-Ju Wang (CoRR, 2018)

Experience Replay Optimization. - Daochen Zha; Kwei-Herng Lai; Kaixiong Zhou; Xia Hu 001 (IJCAI, 2019)

RLCard: A Toolkit for Reinforcement Learning in Card Games. - Daochen Zha; Kwei-Herng Lai; Yuanpu Cao; Songyi Huang; Ruzhe Wei; Junyu Guo; Xia Hu 001 (CoRR, 2019)

Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. - Daochen Zha; Kwei-Herng Lai; Mingyang Wan; Xia Hu 001 (ICDM, 2020)

Dual Policy Distillation. - Kwei-Herng Lai; Daochen Zha; Yuening Li; Xia Hu 001 (IJCAI, 2020)

RLCard: A Platform for Reinforcement Learning in Card Games. - Daochen Zha; Kwei-Herng Lai; Songyi Huang; Yuanpu Cao; Keerthana Reddy; Juan Vargas; Alex Nguyen 004; Ruzhe Wei; Junyu Guo; Xia Hu 001 (IJCAI, 2020)

Policy-GNN: Aggregation Optimization for Graph Neural Networks. - Kwei-Herng Lai; Daochen Zha; Kaixiong Zhou; Xia Hu 001 (KDD, 2020)

TODS: An Automated Time Series Outlier Detection System. - Kwei-Herng Lai; Daochen Zha; Guanchu Wang; Junjie Xu; Yue Zhao 016; Devesh Kumar; Yile Chen 002; Purav Zumkhawaka; Minyang Wan; Diego Martinez; Xia Ben Hu (AAAI, 2021)

Revisiting Time Series Outlier Detection: Definitions and Benchmarks. - Kwei-Herng Lai; Daochen Zha; Junjie Xu; Yue Zhao 016; Guanchu Wang; Xia Ben Hu (NeurIPS Datasets and Benchmarks, 2021)

Simplifying Deep Reinforcement Learning via Self-Supervision. - Daochen Zha; Kwei-Herng Lai; Kaixiong Zhou; Xia Hu 001 (CoRR, 2021)

AutoVideo: An Automated Video Action Recognition System. - 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 001; Xia Hu 001 (CoRR, 2021)

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. - Daochen Zha; Kwei-Herng Lai; Qiaoyu Tan; Sirui Ding; Na Zou 001; Xia Ben Hu (CIKM, 2022)

AutoVideo: An Automated Video Action Recognition System. - 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 001; Xia Hu 001 (IJCAI, 2022)

DreamShard: Generalizable Embedding Table Placement for Recommender Systems. - Daochen Zha; Louis Feng; Qiaoyu Tan; Zirui Liu 001; Kwei-Herng Lai; Bhargav Bhushanam; Yuandong Tian; Arun Kejariwal; Xia Hu 001 (NeurIPS, 2022)

Towards Similarity-Aware Time-Series Classification. - Daochen Zha; Kwei-Herng Lai; Kaixiong Zhou; Xia Hu 001 (SDM, 2022)

Adversarial Graph Perturbations for Recommendations at Scale. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Xia Hu 001; Fei Wang 062; Hao Yang 007 (SIGIR, 2022)

Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (CoRR, 2022)

DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. - Yu-Neng Chuang; Guanchu Wang; Chia-Yuan Chang 002; Kwei-Herng Lai; Daochen Zha; Ruixiang Tang; Fan Yang 023; Alfredo Costilla-Reyes; Kaixiong Zhou; Xiaoqian Jiang; Xia Hu 001 (CIKM, 2023)

Tackling Diverse Minorities in Imbalanced Classification. - Kwei-Herng Lai; Daochen Zha; Huiyuan Chen; Mangesh Bendre; Yuzhong Chen; Mahashweta Das; Hao Yang 007; Xia Hu 001 (CIKM, 2023)

Data-centric AI: Techniques and Future Perspectives. - Daochen Zha; Kwei-Herng Lai; Fan Yang 023; Na Zou 001; Huiji Gao; Xia Hu 001 (KDD, 2023)

Hessian-aware Quantized Node Embeddings for Recommendation. - Huiyuan Chen; Kaixiong Zhou; Kwei-Herng Lai; Chin-Chia Michael Yeh; Yan Zheng 001; Xia Hu 001; Hao Yang 007 (RecSys, 2023)

Context-aware Domain Adaptation for Time Series Anomaly Detection. - Kwei-Herng Lai; Lan Wang; Huiyuan Chen; Kaixiong Zhou; Fei Wang 062; Hao Yang 007; Xia Hu 001 (SDM, 2023)

Data-centric AI: Perspectives and Challenges. - Daochen Zha; Zaid Pervaiz Bhat; Kwei-Herng Lai; Fan Yang 023; Xia Hu 001 (SDM, 2023)

Towards Assumption-free Bias Mitigation. - Chia-Yuan Chang 002; Yu-Neng Chuang; Kwei-Herng Lai; Xiaotian Han; Xia Hu 001; Na Zou 001 (CoRR, 2023)

CODA: Temporal Domain Generalization via Concept Drift Simulator. - Chia-Yuan Chang 002; Yu-Neng Chuang; Zhimeng Jiang; Kwei-Herng Lai; Anxiao Jiang; Na Zou 001 (CoRR, 2023)

Understanding Different Design Choices in Training Large Time Series Models. - Yu-Neng Chuang; Songchen Li; Jiayi Yuan 001; Guanchu Wang; Kwei-Herng Lai; Leisheng Yu; Sirui Ding; Chia-Yuan Chang 002; Qiaoyu Tan; Daochen Zha; Xia Hu 001 (CoRR, 2024)

Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. - Yu-Neng Chuang; Kwei-Herng Lai; Ruixiang Tang; Mengnan Du; Chia-Yuan Chang 002; Na Zou 001; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)

LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. - Chang Liu; Bavesh Balaji; Saad Hossain; C. Thomas; Kwei-Herng Lai; Raviteja Vemulapalli; Alexander Wong; Sirisha Rambhatla (CoRR, 2025)

Data-centric Artificial Intelligence: A Survey. - Daochen Zha; Zaid Pervaiz Bhat; Kwei-Herng Lai; Fan Yang 023; Zhimeng Jiang; Shaochen Zhong; Xia Ben Hu (ACM Comput. Surv., 2025)