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ORCIDJason Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j4]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): 449-460 (2024)- [j3]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): 85 (2024) - [c18]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: 4:1-4:6 - [c17]Ricky Sun, Yuri Simione, Jason Zhang, Victor Wang:
Graph XAI: Graph-agumented AI with Accuracy, Depth, Explainability, and Velocity. DOLAP 2024: 55-62 - [c16]Mohammad Peivandi, Jason Zhang, Michael Lu, Chengyin Li, Dongxiao Zhu, Zhifeng Kou:
Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation. ISBI 2024: 1-4 - [i13]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 abs/2406.13231 (2024) - [i12]Tom Gibbs, Ethan Kosak-Hine, George Ingebretsen, Jason Zhang, Julius Broomfield, Sara Pieri, Reihaneh Iranmanesh, Reihaneh Rabbany, Kellin Pelrine:
Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks. CoRR abs/2409.00137 (2024) - [i11]Jason Zhang, Scott Viteri:
Uncovering Latent Chain of Thought Vectors in Language Models. CoRR abs/2409.14026 (2024) - 2023
- [c15]Jason Zhang, Adrian Barbu:
Reliable Classification using Compact Support Probabilistic PCA. ICMLA 2023: 1350-1354 - [c14]Irmak Bukey, Jason Zhang, T. J. Tsai:
FlexDTW: Dynamic Time Warping With Flexible Boundary Conditions. ISMIR 2023: 733-740 - [c13]Jason Zhang, Ai-Te Kuo, Nicole R. Schneider, Jacob Peters, Hanan Samet:
BroadcastSTAND: Clustering Multimedia Sources of News. LocalRec@SIGSPATIAL 2023: 33-36 - [c12]Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine:
Accelerating Exploration with Unlabeled Prior Data. NeurIPS 2023 - [c11]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. TPCTC 2023: 90-106 - [i10]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 abs/2307.04350 (2023) - [i9]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 abs/2307.11769 (2023) - [i8]Qiyang Li, Jason Zhang, Dibya Ghosh, Amy Zhang, Sergey Levine:
Accelerating Exploration with Unlabeled Prior Data. CoRR abs/2311.05067 (2023) - 2022
- [c10]Jason Zhang, Krerkkiat Chusap, Wei Zhang, Chang Liu:
Improving Paper Classification Using Forecasting. IEEE Big Data 2022: 2454-2460 - [c9]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 - [c8]Zhaoyan Zhang, Jason Zhang, Jody Kreiman:
Effects of laryngeal manipulations on voice gender perception. INTERSPEECH 2022: 1856-1860 - [i7]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 abs/2211.03466 (2022) - 2021
- [c7]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: 204-216 - 2020
- [i6]Boris Bacic, Jason Zhang:
Towards Real-time Drowsiness Detection for Elderly Care. CoRR abs/2010.10771 (2020)
2010 – 2019
- 2019
- [i5]Jason Zhang:
Machine Learning With Feature Selection Using Principal Component Analysis for Malware Detection: A Case Study. CoRR abs/1902.03639 (2019) - [i4]Jason Zhang, Junming Yin, Dongwon Lee, Linhong Zhu:
Deep Reinforcement Learning for Personalized Search Story Recommendation. CoRR abs/1907.11754 (2019) - 2018
- [j2]Lingxiao Xue, Jason Zhang:
Highly Efficient Secondary-Resonant Active Clamp Flyback Converter. IEEE Trans. Ind. Electron. 65(2): 1235-1243 (2018) - [c6]Ajay Dangi, Sumit Agrawal, Jedidiah Lieberknecht, Jason Zhang, Sri-Rajasekhar Kothapalli:
Ring Ultrasound Transducer Based Miniaturized Photoacoustic Imaging System. IEEE SENSORS 2018: 1-4 - [i3]Jason Zhang:
MLPdf: An Effective Machine Learning Based Approach for PDF Malware Detection. CoRR abs/1808.06991 (2018) - 2017
- [i2]Xinyue Cao, Thai Le, Jason Zhang:
Machine Learning Based Detection of Clickbait Posts in Social Media. CoRR abs/1710.01977 (2017) - [i1]Huanshen Wei, Jason Zhang, Dongwon Lee:
Inequalities, Preferences and Rankings in US Sports Coach Hiring Networks. CoRR abs/1712.05112 (2017) - 2012
- [c5]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: 1370-1381
2000 – 2009
- 2006
- [c4]Cameron Chenier, J. James Jun, Jason Zhang, Tansel Özyer, Reda Alhajj:
Association-Rules Mining Based Broadcasting Approach for XML Data. ADVIS 2006: 207-216 - [c3]Yi-Ting Lai, Ke Wang, Daymond Ling, Hua Shi, Jason Zhang:
Direct Marketing When There Are Voluntary Buyers. ICDM 2006: 922-927 - 2004
- [j1]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): 77-91 (2004) - 2002
- [c2]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: 85-92 - [c1]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: 362-373
Coauthor Index
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last updated on 2024-10-16 20:34 CEST by the dblp team
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