Junpeng Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
12
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Demystify the Role of Memory in Machine Learning Engineering Agents. | Xinyu Zhao, Junpeng Wang, Yuzhong Chen, Menghai Pan, Chin-Chia Michael Yeh, Jiarui Sun, Yan Zheng, Mahashweta Das, Tianlong Chen |
| 2026 | ISCAS | A Fine-grained Workload Orchestration Framework for Processing-in-Memory Architecture. | Mengyuan Liu, Junpeng Wang, Song Chen |
| 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 | PacificVis | Visual Attention Exploration in Vision-Based Mamba Models. | Junpeng Wang, Chin-Chia Michael Yeh, Uday Singh Saini, Mahashweta Das |
| 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 | 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 | 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 | SDM | PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies. | Audrey Der, Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Zhongfang Zhuang, Liang Wang, Wei Zhang, Eamonn J. Keogh |
| 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 | ICLR | Interpretable Debiasing of Vectorized Language Representations with Iterative Orthogonalization. | Prince Osei Aboagye, Yan Zheng, Jack Shunn, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 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 |
| 2023 | PacificVis | EmbeddingTree: Hierarchical Exploration of Entity Features in Embedding. | Yan Zheng, Junpeng Wang, Chin-Chia Michael Yeh, Yujie Fan, Huiyuan Chen, Liang Wang, Wei Zhang |
| 2023 | SIGIR | Sharpness-Aware Graph Collaborative Filtering. | Huiyuan Chen, Chin-Chia Michael Yeh, Yujie Fan, Yan Zheng, Junpeng Wang, Vivian Lai, Mahashweta Das, Hao Yang |
| 2022 | AMTA | Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces. | Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Zhongfang Zhuang, Huiyuan Chen, Liang Wang, Wei Zhang, Jeff M. Phillips |
| 2022 | ICLR | Normalization of Language Embeddings for Cross-Lingual Alignment. | Prince Osei Aboagye, Yan Zheng, Chin-Chia Michael Yeh, Junpeng Wang, Wei Zhang, Liang Wang, Hao Yang, Jeff M. Phillips |
| 2022 | KDD | Embedding Compression with Hashing for Efficient Representation Learning in Large-Scale Graph. | Chin-Chia Michael Yeh, Mengting Gu, Yan Zheng, Huiyuan Chen, Javid Ebrahimi, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang |
| 2022 | SDM | Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series. | Chin-Chia Michael Yeh, Yan Zheng, Junpeng Wang, Huiyuan Chen, Zhongfang Zhuang, Wei Zhang, Eamonn J. Keogh |
| 2021 | CIKM | Online Multi-horizon Transaction Metric Estimation with Multi-modal Learning in Payment Networks. | Chin-Chia Michael Yeh, Zhongfang Zhuang, Junpeng Wang, Yan Zheng, Javid Ebrahimi, Ryan Mercer, Liang Wang, Wei Zhang |
| 2021 | DATE | Reliability-Driven Neuromorphic Computing Systems Design. | Qi Xu, Junpeng Wang, Hao Geng, Song Chen, Xiaoqing Wen |
| 2020 | CIKM | LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space. | Xiao Liu, Junpeng Wang |
| 2020 | ISCAS | Reliability-Driven Neural Network Training for Memristive Crossbar-Based Neuromorphic Computing Systems. | Junpeng Wang, Qi Xu, Bo Yuan, Song Chen, Bei Yu, Feng Wu |