Xin Dai
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
18
Active years
2005–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Revealing the Attention Floating Mechanism in Masked Diffusion Models. | Xin Dai, Pengcheng Huang, Zhenghao Liu, Shuo Wang, Yukun Yan, Chaojun Xiao, Yu Gu, Ge Yu, Maosong Sun |
| 2026 | ACL | SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning. | Peidong Wang, Zhiming Ma, Xin Dai, Yongkang Liu, Shi Feng, Xiaocui Yang, Wenxing Hu, Zhihao Wang, Mingjun Pan, Li Yuan, Daling Wang |
| 2026 | KDD | TREASURE: A Transformer-Based Foundation Model for High-Volume Transaction Understanding. | Chin-Chia Michael Yeh, Uday Singh Saini, Xin Dai, Xiran Fan, Shubham Jain, Yujie Fan, Jiarui Sun, Junpeng Wang, Menghai Pan, Yingtong Dou, Yuzhong Chen, Vineeth Rakesh, Liang Wang, Yan Zheng, Mahashweta Das |
| 2025 | ADMA | LegalDuet: Learning Fine-Grained Representations for Legal Judgment Prediction via a Dual-View Contrastive Learning. | Buqiang Xu, Xin Dai, Zhenghao Liu, Huiyuan Xie, Xiaoyuan Yi, Shuo Wang, Yukun Yan, Liner Yang, Yu Gu, Ge Yu |
| 2025 | HPCC | Correlation Analysis of Soil Erosion and Landscape Patterns Using a Landscape Ecological Risk Index. | Min Jin, Xin Dai, Xiaohong Wang, Xueling Long, Si Wang, Weina Li, Lei Tong |
| 2025 | ICASSP | AnimateSketches: Animate Sketches with Instance-Aware Mask. | Haoge Deng, Xin Dai, Jijin Hu, Yonggang Qi |
| 2025 | SMC | AMDCG: Joint Computation Offloading and Resource Allocation via Metadata-Driven Centipede Game and Deep Reinforcement Learning in 6G SAGIN. | Lijun Dai, Xin Chen, Libo Jiao, Xin Dai, Ning Zhang |
| 2024 | CIKM | A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining. | Audrey Der, Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Zhongfang Zhuang, Vivian Lai, Junpeng Wang, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2024 | CSCWD | Cost-Efficient Data Offloading and Resource Allocation in 6G Space-Air-Ground Integrated IoT Networks. | Xin Dai, Xin Chen, Libo Jiao, Shougang Du, Xueqi Ren, Zhe Dong |
| 2024 | CSCWD | Joint optimization of UAV trajectory planning, video cache placement and transcoding in UAV-assisted 6G networks: a PPO-L based approach. | Xueqi Ren, Xin Chen, Libo Jiao, Xin Dai, Zhe Dong |
| 2024 | ICDM | Matrix Profile for Anomaly Detection on Multidimensional Time Series. | Chin-Chia Michael Yeh, Audrey Der, Uday Singh Saini, Vivian Lai, Yan Zheng, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Yujie Fan, Huiyuan Chen, Prince Osei Aboagye, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 2024 | ICPR | Sketch2Seg: Sketch-Based Image Segmentation with Pre-trained Diffusion Model. | Xin Dai, Haoge Deng, Ke Li, Yonggang Qi |
| 2024 | KDD | RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data. | Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Uday Singh Saini, Vivian Lai, Prince Osei Aboagye, Junpeng Wang, Huiyuan Chen, Yan Zheng, Zhongfang Zhuang, Liang Wang, Wei Zhang |
| 2024 | PacificVis | PromptLandscape: Guiding Prompts Exploration and Analysis with Visualization. | Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Xin Dai, Yan Zheng, Liang Wang, Wei Zhang |
| 2024 | QCE | Quantum Machine Learning Architecture Search via Deep Reinforcement Learning. | Xin Dai, Tzu-Chieh Wei, Shinjae Yoo, Samuel Yen-Chi Chen |
| 2024 | SMC | IRS-Enabled Interference Elimination and Fairness Enhancement in D2D Communication Networks. | Xin Dai, Xin Chen, Libo Jiao, Bingjie Han, Yizheng Pan, Tong Yin |
| 2024 | SMC | Utility-Based Task Offloading and Resource Allocation for Digital Twin-Assisted Edge Networks. | Tong Yin, Xin Chen, Libo Jiao, Aobo Cao, Xin Dai |
| 2024 | WCNC | Joint Optimization of Trajectory, Caching and Task Offloading for Multi-Tier UAV MEC Networks. | Xueqi Ren, Xin Chen, Libo Jiao, Xin Dai, Zhe Dong |
| 2023 | CIKM | Spatial-Temporal Graph Boosting Networks: Enhancing Spatial-Temporal Graph Neural Networks via Gradient Boosting. | Yujie Fan, Chin-Chia Michael Yeh, Huiyuan Chen, Yan Zheng, Liang Wang, Junpeng Wang, Xin Dai, Zhongfang Zhuang, Wei Zhang |
| 2023 | CIKM | An Efficient Content-based Time Series Retrieval System. | Chin-Chia Michael Yeh, Huiyuan Chen, Xin Dai, Yan Zheng, Junpeng Wang, Vivian Lai, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 2023 | CIKM | Toward a Foundation Model for Time Series Data. | Chin-Chia Michael Yeh, Xin Dai, Huiyuan Chen, Yan Zheng, Yujie Fan, Audrey Der, Vivian Lai, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2023 | CIKM | FATA-Trans: Field And Time-Aware Transformer for Sequential Tabular Data. | Dongyu Zhang, Liang Wang, Xin Dai, Shubham Jain, Junpeng Wang, Yujie Fan, Chin-Chia Michael Yeh, Yan Zheng, Zhongfang Zhuang, Wei Zhang |
| 2023 | ICMLA | Multitask Learning for Time Series Data with 2D Convolution. | Chin-Chia Michael Yeh, Xin Dai, Yan Zheng, Junpeng Wang, Huiyuan Chen, Yujie Fan, Audrey Der, Zhongfang Zhuang, Liang Wang, Wei Zhang |
| 2022 | APCC | Mitigating the Effect of Impulsive Noise in Power Line Communications with Preprocessing. | Hongwu Ge, Shengwu Sun, Xin Dai, Hao Tian |
| 2022 | ICDM | ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. | Yao Su, Xin Dai, Lifang He, Xiangnan Kong |
| 2021 | CIKM | FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. | Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He |
| 2021 | SDM | CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. | Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang |
| 2020 | CIKM | EPNet: Learning to Exit with Flexible Multi-Branch Network. | Xin Dai, Xiangnan Kong, Tian Guo |
| 2020 | KDD | Recurrent Networks for Guided Multi-Attention Classification. | Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu, Constance M. Moore |
| 2020 | SDM | Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data. | Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee, Constance M. Moore |
| 2019 | IJCNN | A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. | Xin Dai, Fanzhang Li, Xiaopei Li, Helan Liang |
| 2006 | ISCAS | Explicit characterization of bandgap references. | Xin Dai, Degang Chen, Randall L. Geiger |
| 2005 | ISCAS | A cost-effective histogram test-based algorithm for digital calibration of high-precision pipelined ADCs. | Xin Dai, Degang Chen, Randall L. Geiger |
| 2005 | ISCAS | An N | Xin Dai, Chengming He, Hanqing Xing, Degang Chen, Randall L. Geiger |