Kwei-Herng Lai

48 papers A* 10A 7B 1Journal 28Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	CODA: Temporal Domain Generalization via Concept Drift Simulator. KDD (2) Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2025	J	`jnl`	Data-centric Artificial Intelligence: A Survey. ACM Comput. Surv. Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Ben Hu
2025	J	`jnl`	Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. ACM Trans. Knowl. Discov. Data Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2025	J	`jnl`	LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting. SIGKDD Explor. Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla-Reyes, Daochen Zha, Xia Hu
2025	J	`jnl`	LangDA: Building Context-Awareness via Language for Domain Adaptive Semantic Segmentation. CoRR Chang Liu, Bavesh Balaji, Saad Hossain, C. Thomas, Kwei-Herng Lai, Raviteja Vemulapalli, Alexander Wong, Sirisha Rambhatla
2025	J	`jnl`	Training-Free Time Series Classification via In-Context Reasoning with LLM Agents. CoRR Songyuan Sui, Zihang Xu, Yu-Neng Chuang, Kwei-Herng Lai, Xia Hu
2024	J	`jnl`	Understanding Different Design Choices in Training Large Time Series Models. CoRR 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
2023	J	`jnl`	CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2023	A	`conf`	Context-aware Domain Adaptation for Time Series Anomaly Detection. SDM Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	J	`jnl`	Context-aware Domain Adaptation for Time Series Anomaly Detection. CoRR Kwei-Herng Lai, Lan Wang, Huiyuan Chen, Kaixiong Zhou, Fei Wang, Hao Yang, Xia Hu
2023	A	`conf`	Data-centric AI: Perspectives and Challenges. SDM Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023	J	`jnl`	Data-centric AI: Perspectives and Challenges. CoRR Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Xia Hu
2023	A*	`conf`	Data-centric AI: Techniques and Future Perspectives. KDD Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
2023	J	`jnl`	Data-centric Artificial Intelligence: A Survey. CoRR Daochen Zha, Zaid Pervaiz Bhat, Kwei-Herng Lai, Fan Yang, Zhimeng Jiang, Shaochen Zhong, Xia Hu
2023	A	`conf`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CIKM 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
2023	J	`jnl`	DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical Research. CoRR 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
2023	A	`conf`	Hessian-aware Quantized Node Embeddings for Recommendation. RecSys Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	J	`jnl`	Hessian-aware Quantized Node Embeddings for Recommendation. CoRR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Chin-Chia Michael Yeh, Yan Zheng, Xia Hu, Hao Yang
2023	A	`conf`	Tackling Diverse Minorities in Imbalanced Classification. CIKM Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Tackling Diverse Minorities in Imbalanced Classification. CoRR Kwei-Herng Lai, Daochen Zha, Huiyuan Chen, Mangesh Bendre, Yuzhong Chen, Mahashweta Das, Hao Yang, Xia Hu
2023	J	`jnl`	Towards Assumption-free Bias Mitigation. CoRR Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
2022	A*	`conf`	Adversarial Graph Perturbations for Recommendations at Scale. SIGIR Huiyuan Chen, Kaixiong Zhou, Kwei-Herng Lai, Xia Hu, Fei Wang, Hao Yang
2022	A*	`conf`	AutoVideo: An Automated Video Action Recognition System. IJCAI 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
2022	A*	`conf`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	Mitigating Relational Bias on Knowledge Graphs. CoRR Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2022	A	`conf`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	A	`conf`	Towards Similarity-Aware Time-Series Classification. SDM Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2022	J	`jnl`	Towards Similarity-Aware Time-Series Classification. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021	J	`jnl`	AutoVideo: An Automated Video Action Recognition System. CoRR 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
2021	—	`conf`	Revisiting Time Series Outlier Detection: Definitions and Benchmarks. NeurIPS Datasets and Benchmarks Kwei-Herng Lai, Daochen Zha, Junjie Xu, Yue Zhao, Guanchu Wang, Xia Ben Hu
2021	J	`jnl`	Simplifying Deep Reinforcement Learning via Self-Supervision. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2021	A*	`conf`	TODS: An Automated Time Series Outlier Detection System. AAAI Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2020	A*	`conf`	Dual Policy Distillation. IJCAI Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020	J	`jnl`	Dual Policy Distillation. CoRR Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu
2020	A*	`conf`	Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. ICDM Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
2020	J	`jnl`	Meta-AAD: Active Anomaly Detection with Deep Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Mingyang Wan, Xia Hu
2020	A*	`conf`	Policy-GNN: Aggregation Optimization for Graph Neural Networks. KDD Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020	J	`jnl`	Policy-GNN: Aggregation Optimization for Graph Neural Networks. CoRR Kwei-Herng Lai, Daochen Zha, Kaixiong Zhou, Xia Hu
2020	A*	`conf`	RLCard: A Platform for Reinforcement Learning in Card Games. IJCAI Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu
2020	J	`jnl`	TODS: An Automated Time Series Outlier Detection System. CoRR Kwei-Herng Lai, Daochen Zha, Guanchu Wang, Junjie Xu, Yue Zhao, Devesh Kumar, Yile Chen, Purav Zumkhawaka, Minyang Wan, Diego Martinez, Xia Ben Hu
2019	A*	`conf`	Experience Replay Optimization. IJCAI Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019	J	`jnl`	Experience Replay Optimization. CoRR Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu
2019	J	`jnl`	RLCard: A Toolkit for Reinforcement Learning in Card Games. CoRR Daochen Zha, Kwei-Herng Lai, Yuanpu Cao, Songyi Huang, Ruzhe Wei, Junyu Guo, Xia Hu
2018	B	`conf`	NavWalker: Information Augmented Network Embedding. WI Kwei-Herng Lai, Chih-Ming Chen, Ming-Feng Tsai, Chuan-Ju Wang
2018	J	`jnl`	Representation Learning for Image-based Music Recommendation. CoRR Chih-Chun Hsia, Kwei-Herng Lai, Yian Chen, Chuan-Ju Wang, Ming-Feng Tsai
2018	J	`jnl`	Superhighway: Bypass Data Sparsity in Cross-Domain CF. CoRR Kwei-Herng Lai, Ting-Hsiang Wang, Heng-Yu Chi, Yian Chen, Ming-Feng Tsai, Chuan-Ju Wang