| 2026 | AAAI | Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services. | Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin |
| 2026 | AAAI | Are We on the Right Way to Assess Document Retrieval-Augmented Generation? | Wenxuan Shen, Mingjia Wang, Yaochen Wang, Dongping Chen, Junjie Yang, Yao Wan, Weiwei Lin |
| 2026 | EACL | CrowdSelect: SyntheticInstruction Data Selection with Multi-LLM Wisdom. | Yisen Li, Lingfeng Yang, Wenxuan Shen, Pan Zhou, Yao Wan, Weiwei Lin, Dongping Chen |
| 2026 | ICDE | HaS: Accelerating RAG Through Homology-Aware Speculative Retrieval. | Peng Peng, Weiwei Lin, Wentai Wu, Xinyang Wang, Yongheng Liu |
| 2025 | ICLR | Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis. | Weiwei Lin, Chenhang He |
| 2025 | ICML | Temporal Query Network for Efficient Multivariate Time Series Forecasting. | Shengsheng Lin, Haojun Chen, Haijie Wu, Chunyun Qiu, Weiwei Lin |
| 2025 | ICPADS | Client Selection for Multi-Task Federated Learning: A Lyapunov Optimization Approach. | Jingzhou Wang, Xiumin Wang, Weiwei Lin, Kai Liu, Weiwei Wu |
| 2025 | SecureComm | A Robustness Optimization Mechanism for Intrusion Detection Models Based on Dynamic Ensemble Learning. | Jianshou Ji, Weiwei Lin, Hongyan Liu, Dong Zhang, Shengrui Lin, Longlong Zhu, Chunming Wu, Shaowei Xu |
| 2024 | ICASSP | Asymmetric Clean Segments-Guided Self-Supervised Learning for Robust Speaker Verification. | Chong-Xin Gan, Man-Wai Mak, Weiwei Lin, Jen-Tzung Chien |
| 2024 | ICML | SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters. | Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang |
| 2023 | ICML | Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations. | Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu |
| 2023 | ISCC | P4CTM: Compressed Traffic Pattern Matching Based on Programmable Data Plane. | Hang Lin, Weiwei Lin, Jing Lin, Longlong Zhu, Dong Zhang, Chunming Wu |
| 2022 | ICASSP | Robust Speaker Verification Using Population-Based Data Augmentation. | Weiwei Lin, Man-Wai Mak |
| 2022 | Interspeech | UNet-DenseNet for Robust Far-Field Speaker Verification. | Zhenke Gao, Man-Wai Mak, Weiwei Lin |
| 2022 | UIC | Optimization of the Pedestrian and Vehicle Detection Model based on Cloud-Edge Collaboration. | Huabin Wang, Yuping Chen, Bo Liu, Ruichao Mo, Weiwei Lin |
| 2021 | ICIP | Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. | Zu-Yun Shiau, Weiwei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang |
| 2020 | HAIS | Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability. | Antonio J. Talln-Ballesteros, Simon Fong, Tengyue Li, Liansheng Liu, Thomas Hanne, Weiwei Lin |
| 2020 | ICASSP | Multi-Level Deep Neural Network Adaptation for Speaker Verification Using MMD and Consistency Regularization. | Weiwei Lin, Man-Wai Mak, Na Li, Dan Su, Dong Yu |
| 2020 | ICPADS | Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach. | Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma |
| 2020 | ICPADS | A Novel Classification Model to Predict Batch Job Failures in Co-located Cloud. | Yurui Li, Weiwei Lin, Keqin Li, James Z. Wang, Fagui Liu, Jie Liu |
| 2020 | Interspeech | Strategies for End-to-End Text-Independent Speaker Verification. | Weiwei Lin, Man-Wai Mak, Jen-Tzung Chien |
| 2018 | COMPLEXIS | Stock Market Prediction based on Deep Long Short Term Memory Neural Network. | Xiong Wen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin, Victor Chang |
| 2015 | SNPD | A chain algorithm for conformance testing based on UIO sequences. | Weiwei Lin, Hongwei Zeng |
| 2006 | APWEB | The Research of Scientific Computing Environment on Scilab. | Zhili Zhang, Zhenyu Wang, Deyu Qi, Weiwei Lin, Dong Zhang, Yongjun Li |