Jason Zhang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 26

Top Topics

Malware Detection

Collaborative Environment

Language Understanding

Top Venues

Proc. ACM Manag. Data

Publications

Ricky Sun, Yuri Simione, Jason Zhang, Victor Wang
Graph XAI: Graph-agumented AI with Accuracy, Depth, Explainability, and Velocity. DOLAP (2024)
Yu Cheng, Max Li, Honghao Lin, Zi-Yi Tai, David P. Woodruff, Jason Zhang
Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut. CoRR (2024)
Yanyi Chu, Dan Yu, Yupeng Li, Kaixuan Huang, Yue Shen, Le Cong, Jason Zhang, Mengdi Wang
A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions. Nat. Mac. Intell. 6 (4) (2024)
Lynsey Lin, Jamie Chen, Ricky Sun, Jason Zhang, Victor Wang
A Unified Graph Framework for Storage-Compute Coupled Cluster and High-Density Computing Cluster. BiDEDE@SIGMOD (2024)
Yu Cheng, Max Li, Honghao Lin, Zi-Yi Tai, David P. Woodruff, Jason Zhang
Tight Lower Bounds for Directed Cut Sparsification and Distributed Min-Cut. Proc. ACM Manag. Data 2 (2) (2024)
Irmak Bukey, Jason Zhang, T. J. Tsai
FlexDTW: Dynamic Time Warping With Flexible Boundary Conditions. ISMIR (2023)
Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine
Accelerating Exploration with Unlabeled Prior Data. CoRR (2023)
Yun Tang, Antonio Anastasio Bruto da Costa, Jason Zhang, Patrick Irvine, Siddartha Khastgir, Paul A. Jennings
Domain Knowledge Distillation from Large Language Model: An Empirical Study in the Autonomous Driving Domain. CoRR (2023)
Gábor Szárnyas, Brad Bebee, Altan Birler, Alin Deutsch, George Fletcher, Henry A. Gabb, Denise Gosnell, Alastair Green, Zhihui Guo, Keith W. Hare, Jan Hidders, Alexandru Iosup, Atanas Kiryakov, Tomas Kovatchev, Xinsheng Li, Leonid Libkin, Heng Lin, Xiaojian Luo, Arnau Prat-Pérez, David Püroja, Shipeng Qi, Oskar van Rest, Benjamin A. Steer, Dávid Szakállas, Bing Tong, Jack Waudby, Mingxi Wu, Bin Yang, Wenyuan Yu, Chen Zhang, Jason Zhang, Yan Zhou, Peter A. Boncz
The Linked Data Benchmark Council (LDBC): Driving competition and collaboration in the graph data management space. CoRR (2023)
Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine
Accelerating Exploration with Unlabeled Prior Data. NeurIPS (2023)
Jason Zhang, Adrian Barbu
Reliable Classification using Compact Support Probabilistic PCA. ICMLA (2023)
Jason Zhang, Ai-Te Kuo, Nicole R. Schneider, Jacob Peters, Hanan Samet
BroadcastSTAND: Clustering Multimedia Sources of News. LocalRec@SIGSPATIAL (2023)
Jason Zhang, Krerkkiat Chusap, Wei Zhang, Chang Liu
Improving Paper Classification Using Forecasting. Big Data (2022)
Xiaohan Chen, Jason Zhang, Zhangyang Wang
Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently. ICLR (2022)
Ze Chen, Kangxu Wang, Zijian Cai, Jiewen Zheng, Jiarong He, Max Gao, Jason Zhang
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC. CoRR (2022)
Zhaoyan Zhang, Jason Zhang, Jody Kreiman
Effects of laryngeal manipulations on voice gender perception. INTERSPEECH (2022)
Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo
Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition. NeurIPS (Competition and Demos) (2021)
Jason Zhang, Gengshan Yang, Shubham Tulsiani, Deva Ramanan
NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild. NeurIPS (2021)
Boris Bacic, Jason Zhang
Towards Real-time Drowsiness Detection for Elderly Care. CoRR (2020)
Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR (2019)
Jason Zhang
Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study. CoRR (2019)
Lingxiao Xue, Jason Zhang
Highly Efficient Secondary-Resonant Active Clamp Flyback Converter. IEEE Trans. Ind. Electron. 65 (2) (2018)
Jason Zhang
MLPdf: An Effective Machine Learning Based Approach for PDF Malware Detection. CoRR (2018)
Ajay Dangi, Sumit Agrawal, Jedidiah Lieberknecht, Jason Zhang, Sri-Rajasekhar Kothapalli
Ring Ultrasound Transducer Based Miniaturized Photoacoustic Imaging System. IEEE SENSORS (2018)
Huanshen Wei, Jason Zhang, Dongwon Lee
Inequalities, Preferences and Rankings in US Sports Coach Hiring Networks. CoRR (2017)
Xinyue Cao, Thai Le, Jason Zhang
Machine Learning Based Detection of Clickbait Posts in Social Media. CoRR (2017)
Aditya Auradkar, Chavdar Botev, Shirshanka Das, Dave De Maagd, Alex Feinberg, Phanindra Ganti, Lei Gao, Bhaskar Ghosh, Kishore Gopalakrishna, Brendan Harris, Joel Koshy, Kevin Krawez, Jay Kreps, Shi Lu, Sunil Nagaraj, Neha Narkhede, Sasha Pachev, Igor Perisic, Lin Qiao, Tom Quiggle, Jun Rao, Bob Schulman, Abraham Sebastian, Oliver Seeliger, Adam Silberstein, Boris Shkolnik, Chinmay Soman, Roshan Sumbaly, Kapil Surlaker, Sajid Topiwala, Cuong Tran, Balaji Varadarajan, Jemiah Westerman, Zach White, David Zhang, Jason Zhang
Data Infrastructure at LinkedIn. ICDE (2012)
Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason Zhang
Direct Marketing When There Are Voluntary Buyers. ICDM (2006)
Cameron Chenier, J. James Jun, Jason Zhang, Tansel Özyer, Reda Alhajj
Association-Rules Mining Based Broadcasting Approach for XML Data. ADVIS (2006)
Yufei Yuan, Jason Zhang, Wuping Zheng
Can e-government help China meet the challenges of joining the World Trade Organization? Electron. Gov. an Int. J. 1 (1) (2004)
James Pustejovsky, José M. Castaño, Jason Zhang, Maciej Kotecki, Brent Cochran
Robust Relational Parsing Over Biomedical Literature: Extracting Inhibit Relations. Pacific Symposium on Biocomputing (2002)
James Pustejovsky, José M. Castaño, Jason Zhang, Roser Saurí, Wei Luo
Medstract: creating large-scale information servers from biomedical texts. ACL Workshop on Natural Language Processing in the Biomedical Domain (2002)