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2020 – today
- 2024
[j12]Yixiang Huang, Kaiwen Zhang, Pengcheng Xia, Zhilin Wang, Yanming Li, Chengliang Liu:
Cross-attentional subdomain adaptation with selective knowledge distillation for motor fault diagnosis under variable working conditions. Adv. Eng. Informatics 62: 102948 (2024)- [j11]Xu Yang, Shuo'ou Qu, Zhilin Wang, Lingxiao Li, Xiaofeng An, Zhibin Cong:
The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results. BMC Medical Imaging 24(1): 314 (2024) - [j10]Zhilin Wang
, Qin Hu, Zehui Xiong, Yuan Liu, Dusit Niyato:
Resource Optimization for Blockchain-Based Federated Learning in Mobile Edge Computing. IEEE Internet Things J. 11(9): 15166-15178 (2024) - [j9]Chaojun Ding, Zhilin Wang, Susu Xu:
Study on the Cascading Failure Robustness of the Belt and Road Land-Sea Transport Network under Emergencies. Symmetry 16(6): 736 (2024) - [c22]Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang:
MAGE: Machine-generated Text Detection in the Wild. ACL (1) 2024: 36-53 - [c21]Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang:
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. ACL (Findings) 2024: 7088-7107 - [c20]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Data, Data Everywhere: A Guide for Pretraining Dataset Construction. EMNLP 2024: 10671-10695 - [c19]Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev:
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT 2024: 3371-3384 - [c18]Xingyun Hong, Yan Shao, Zhilin Wang, Manni Duan, Xiongnan Jin:
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. NLPCC (1) 2024: 228-242 - [i26]Gerald Shen, Zhilin Wang, Olivier Delalleau, Jiaqi Zeng, Yi Dong, Daniel Egert, Shengyang Sun, Jimmy J. Zhang, Sahil Jain, Ali Taghibakhshi, Markel Sanz Ausin, Ashwath Aithal, Oleksii Kuchaiev:
NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR abs/2405.01481 (2024) - [i25]Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang:
Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. CoRR abs/2405.12689 (2024) - [i24]Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev:
HelpSteer2: Open-source dataset for training top-performing reward models. CoRR abs/2406.08673 (2024) - [i23]Bo Adler, Niket Agarwal, Ashwath Aithal, Dong H. Anh, Pallab Bhattacharya, Annika Brundyn, Jared Casper, Bryan Catanzaro, Sharon Clay, Jonathan M. Cohen, Sirshak Das, Ayush Dattagupta, Olivier Delalleau, Leon Derczynski, Yi Dong, Daniel Egert, Ellie Evans, Aleksander Ficek, Denys Fridman, Shaona Ghosh, Boris Ginsburg, Igor Gitman, Tomasz Grzegorzek, Robert Hero, Jining Huang, Vibhu Jawa, Joseph Jennings, Aastha Jhunjhunwala, John Kamalu, Sadaf Khan, Oleksii Kuchaiev, Patrick LeGresley, Hui Li, Jiwei Liu, Zihan Liu, Eileen Long, Ameya Sunil Mahabaleshwarkar, Somshubra Majumdar, James Maki, Miguel Martinez, Maer Rodrigues de Melo, Ivan Moshkov, Deepak Narayanan, Sean Narenthiran, Jesus Navarro, Phong Nguyen, Osvald Nitski, Vahid Noroozi, Guruprasad Nutheti, Christopher Parisien, Jupinder Parmar, Mostofa Patwary, Krzysztof Pawelec, Wei Ping, Shrimai Prabhumoye, Rajarshi Roy, Trisha Saar, Vasanth Rao Naik Sabavat, Sanjeev Satheesh, Jane Polak Scowcroft, Jason Sewall, Pavel Shamis, Gerald Shen, Mohammad Shoeybi, Dave Sizer, Misha Smelyanskiy, Felipe Soares, Makesh Narsimhan Sreedhar, Dan Su, Sandeep Subramanian, Shengyang Sun, Shubham Toshniwal, Hao Wang, Zhilin Wang, Jiaxuan You, Jiaqi Zeng, Jimmy Zhang, Jing Zhang, Vivienne Zhang, Yian Zhang, Chen Zhu:
Nemotron-4 340B Technical Report. CoRR abs/2406.11704 (2024) - [i22]Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Li, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro:
Data, Data Everywhere: A Guide for Pretraining Dataset Construction. CoRR abs/2407.06380 (2024) - [i21]Xingyun Hong, Yan Shao, Zhilin Wang, Manni Duan, Jin Xiongnan:
Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. CoRR abs/2409.05385 (2024) - [i20]Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong:
HelpSteer2-Preference: Complementing Ratings with Preferences. CoRR abs/2410.01257 (2024) - [i19]Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin:
Diverging Preferences: When do Annotators Disagree and do Models Know? CoRR abs/2410.14632 (2024) - 2023
- [j8]Cheng Peng, Qin Hu, Zhilin Wang, Ryan Wen Liu, Zehui Xiong:
Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning. IEEE Internet Things J. 10(6, March 15): 5571-5582 (2023) - [j7]Qin Hu, Zhilin Wang, Minghui Xu, Xiuzhen Cheng:
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing. IEEE Internet Things J. 10(14): 12000-12011 (2023) - [j6]Gürhan Özkayar, Zhilin Wang, Joost C. Lötters, Marcel Tichem, Murali Krishna Ghatkesar:
Flow Ripple Reduction in Reciprocating Pumps by Multi-Phase Rectification. Sensors 23(15): 6967 (2023) - [j5]Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong:
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. IEEE Trans. Parallel Distributed Syst. 34(5): 1536-1547 (2023) - [c17]Changrong Min, Ximing Li, Liang Yang, Zhilin Wang, Bo Xu, Hongfei Lin:
Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction. ACL (1) 2023: 10172-10183 - [c16]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) 2023: 149-157 - [c15]Zhilin Wang, Yu-Ying Chiu, Yu Cheung Chiu:
Humanoid Agents: Platform for Simulating Human-like Generative Agents. EMNLP (Demos) 2023: 167-176 - [c14]Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev:
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. EMNLP (Findings) 2023: 11275-11288 - [i18]Weizhe Lin, Zhilin Wang, Bill Byrne:
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR abs/2303.10699 (2023) - [i17]Zhilin Wang, Qin Hu, Minghui Xu, Zeihui Xiong:
Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning. CoRR abs/2308.01296 (2023) - [i16]Shengyang Li, Qin Hu, Zhilin Wang:
PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning. CoRR abs/2308.07840 (2023) - [i15]Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev:
SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. CoRR abs/2310.05344 (2023) - [i14]Zhilin Wang, Yu-Ying Chiu, Yu Cheung Chiu:
Humanoid Agents: Platform for Simulating Human-like Generative Agents. CoRR abs/2310.05418 (2023) - [i13]Zhilin Wang, Qin Hu, Xukai Zou:
Can We Trust the Similarity Measurement in Federated Learning? CoRR abs/2311.03369 (2023) - [i12]Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev:
HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR abs/2311.09528 (2023) - 2022
- [j4]Krisztian Balog, Paramita Mirza, Martin G. Skjæveland, Zhilin Wang:
Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021. SIGIR Forum 56(1): 4:1-4:11 (2022) - [c13]Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia:
Extracting and Inferring Personal Attributes from Dialogue. ConvAI@ACL 2022: 58-69 - [c12]Ning Liu, Jing Xia, Zhiping Cai, Tao Yang, Bingnan Hou, Zhilin Wang:
A Survey on IPv6 Security Threats and Defense Mechanisms. ICAIS (1) 2022: 583-598 - [c11]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c10]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [c9]Zhilin Wang, Qiao Kang, Xinyi Zhang, Qin Hu:
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. WCNC 2022: 548-553 - [i11]Zhilin Wang, Qiao Kang, Xinyi Zhang, Qin Hu:
Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. CoRR abs/2202.06414 (2022) - [i10]Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong:
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning. CoRR abs/2202.10938 (2022) - [i9]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i8]Zhilin Wang, Qin Hu, Zehui Xiong:
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing. CoRR abs/2206.02243 (2022) - [i7]Zhilin Wang, Qin Hu, Minghui Xu, Honglu Jiang:
Blockchain-based Edge Resource Sharing for Metaverse. CoRR abs/2208.05120 (2022) - 2021
- [j3]Juan Zhao, Chengwu Zhao, Hongze Leng, Junqiang Song, Zhilin Wang:
Exploring Assimilation Order to Improve Assimilation with Serial Ensemble Kalman Filter. J. Circuits Syst. Comput. 30(4): 2150068:1-2150068:23 (2021) - [i6]Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia:
Extracting and Inferring Personal Attributes from Dialogue. CoRR abs/2109.12702 (2021) - [i5]Zhilin Wang, Qin Hu:
Blockchain-based Federated Learning: A Comprehensive Survey. CoRR abs/2110.02182 (2021) - [i4]Qin Hu, Zhilin Wang, Minghui Xu, Xiuzhen Cheng:
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing. CoRR abs/2110.08671 (2021) - 2020
- [c8]Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia:
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. AAAI 2020: 11908-11915 - [c7]Qin Hu, Yash Nigam, Zhilin Wang, Yawei Wang, Yinhao Xiao:
A Correlated Equilibrium based Transaction Pricing Mechanism in Blockchain. IEEE ICBC 2020: 1-7 - [i3]Xiaodong Wu, Weizhe Lin, Zhilin Wang, Elena Rastorgueva:
Author2Vec: A Framework for Generating User Embedding. CoRR abs/2003.11627 (2020) - [i2]Zhilin Wang, Weizhe Lin, Xiaodong Wu:
Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention. CoRR abs/2010.12183 (2020)
2010 – 2019
- 2019
- [c6]Zhilin Wang, Elena Rastorgueva, Weizhe Lin, Xiaodong Wu:
No, you're not alone: A better way to find people with similar experiences on Reddit. W-NUT@EMNLP 2019: 307-315 - [i1]Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia:
FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. CoRR abs/1911.07559 (2019) - 2018
- [c5]Wei Qiu, Le Li, Pengzheng Lei, Zhilin Wang:
Multiple Targets Tracking by Using Probability Data Association and Cubature Kalman Filter. WCSP 2018: 1-5 - 2017
- [c4]Yujing Liu, Zhilin Wang, Nan Li:
A Case Study of Detecting and Characterizing Large-Scale Prefix Hijackings in the Internet. ICNCC 2017: 110-114 - [c3]Wei Wang, Xingwei Yan, Zhilin Wang, Jianhua Shi:
A Robust Affine Invariant Point Extraction Algorithm for Image Registration. ISCID (1) 2017: 79-82 - 2016
- [j2]Yujing Liu, Wei Peng, Jinshu Su, Zhilin Wang:
Assessing Resilience of Inter-Domain Routing System under Regional Failures. KSII Trans. Internet Inf. Syst. 10(4): 1630-1642 (2016) - 2014
- [j1]Yujing Liu, Wei Peng, Jinshu Su, Zhilin Wang:
Assessing the Impact of Cascading Failures on the Interdomain Routing System of the Internet. New Gener. Comput. 32(3-4): 237-255 (2014) - 2013
- [c2]Yujing Liu, Wei Peng, Jinshu Su, Zhilin Wang:
Assessing Survivability of Inter-domain Routing System under Cascading Failures. ICoC 2013: 97-108 - 2011
- [c1]Zhilin Wang, Xinhuai Tang, Xiangfeng Luo:
Policy-Based SLA-Aware Cloud Service Provision Framework. SKG 2011: 114-121
Coauthor Index
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last updated on 2024-12-22 20:01 CET by the dblp team
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