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Jun Yan 0012
Person information
- affiliation: University of Southern California, CA, USA
- affiliation (former): Tsinghua University, Beijing, China
Other persons with the same name
- Jun Yan — disambiguation page
- Jun Yan 0001 — Microsoft Research Asia, Beijing, China (and 1 more)
- Jun Yan 0002 — University of Connecticut, Department of Statistics, Storrs, CT, USA (and 1 more)
- Jun Yan 0003 — Wuhan University, School of Geodesy and Geomatics, Hubei, China
- Jun Yan 0004 — Chinese Academy of Sciences, CAS-MPG Partner Institute for Computational Biology, Shanghai, China
- Jun Yan 0005 — University of Wollongong, School of Information Technology and Computer Science, NSW, Australia (and 1 more)
- Jun Yan 0006 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China (and 3 more)
- Jun Yan 0007 — Concordia University, Concordia Institute for Information Systems Engineering, Montreal, QC, Canada (and 1 more)
- Jun Yan 0008 — Mathworks Inc., Natick, MA, USA (and 1 more)
- Jun Yan 0009 — Chinese Academy of Sciences, Institute of Software, Technology Center of Software Engineering, Beijing, China
- Jun Yan 0010 — Yidu Cloud Technology Co. Ltd., Beijing, China
- Jun Yan 0011 — China University of Geosciences, School of Mechanical Engineering and Electronic Information, Wuhan
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2020 – today
- 2024
- [j1]Yuelin Zhao, Feng Wu, Yuxiang Yang, Xindi Wei, Zhaohui Hu, Jun Yan, Wanxie Zhong:
Constructing uniform design tables based on restart discrete dynamical evolutionary algorithm. Soft Comput. 28(19): 11515-11534 (2024) - [i11]Jun Yan, Wenjie Jacky Mo, Xiang Ren, Robin Jia:
Rethinking Backdoor Detection Evaluation for Language Models. CoRR abs/2409.00399 (2024) - 2023
- [c9]Jun Yan, Vansh Gupta, Xiang Ren:
BITE: Textual Backdoor Attacks with Iterative Trigger Injection. ACL (1) 2023: 12951-12968 - [i10]Feng Wu, Yuelin Zhao, Jianhua Pang, Jun Yan, Wanxie Zhong:
Low-discrepancy Sampling in the Expanded Dimensional Space: An Acceleration Technique for Particle Swarm Optimization. CoRR abs/2303.03055 (2023) - [i9]Wenjie Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Chaowei Xiao, Muhao Chen:
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. CoRR abs/2311.09763 (2023) - 2022
- [c8]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. NAACL-HLT 2022: 508-520 - [i8]Jun Yan, Vansh Gupta, Xiang Ren:
Textual Backdoor Attacks with Iterative Trigger Injection. CoRR abs/2205.12700 (2022) - 2021
- [c7]Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051 - [c6]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. ACL/IJCNLP (1) 2021: 4694-4705 - [c5]Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. EMNLP (1) 2021: 3728-3737 - [i7]Jun Yan, Nasser Zalmout, Yan Liang, Christan Grant, Xiang Ren, Xin Luna Dong:
AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding. CoRR abs/2106.02318 (2021) - [i6]Bill Yuchen Lin, Wenyang Gao, Jun Yan, Ryan Moreno, Xiang Ren:
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models. CoRR abs/2109.05620 (2021) - [i5]Jun Yan, Yang Xiao, Sagnik Mukherjee, Bill Yuchen Lin, Robin Jia, Xiang Ren:
On the Robustness of Reading Comprehension Models to Entity Renaming. CoRR abs/2110.08555 (2021) - 2020
- [c4]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. EMNLP (1) 2020: 1295-1309 - [c3]Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren:
Learning from Explanations with Neural Execution Tree. ICLR 2020 - [i4]Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, Xiang Ren:
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering. CoRR abs/2005.00646 (2020) - [i3]Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020)
2010 – 2019
- 2019
- [c2]Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. WWW 2019: 1073-1083 - [i2]Hongtao Lin, Jun Yan, Meng Qu, Xiang Ren:
Learning Dual Retrieval Module for Semi-supervised Relation Extraction. CoRR abs/1902.07814 (2019) - 2018
- [c1]Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Language Modeling with Sparse Product of Sememe Experts. EMNLP 2018: 4642-4651 - [i1]Yihong Gu, Jun Yan, Hao Zhu, Zhiyuan Liu, Ruobing Xie, Maosong Sun, Fen Lin, Leyu Lin:
Language Modeling with Sparse Product of Sememe Experts. CoRR abs/1810.12387 (2018)
Coauthor Index
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last updated on 2024-12-12 20:57 CET by the dblp team
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