Policy-Based SLA-Aware Cloud Service Provision Framework. - Zhilin Wang; Xinhuai Tang; Xiangfeng Luo (SKG, 2011)

Assessing Survivability of Inter-domain Routing System under Cascading Failures. - Yujing Liu; Wei Peng 005; Jinshu Su; Zhilin Wang (ICoC, 2013)

Assessing the Impact of Cascading Failures on the Interdomain Routing System of the Internet. - Yujing Liu; Wei Peng 005; Jinshu Su; Zhilin Wang (New Gener. Comput., 2014)

Assessing Resilience of Inter-Domain Routing System under Regional Failures. - Yujing Liu; Wei Peng 005; Jinshu Su; Zhilin Wang (KSII Trans. Internet Inf. Syst., 2016)

A Case Study of Detecting and Characterizing Large-Scale Prefix Hijackings in the Internet. - Yujing Liu; Zhilin Wang; Nan Li (ICNCC, 2017)

A Robust Affine Invariant Point Extraction Algorithm for Image Registration. - Wei Wang; Xingwei Yan; Zhilin Wang; Jianhua Shi (ISCID (1), 2017)

Multiple Targets Tracking by Using Probability Data Association and Cubature Kalman Filter. - Wei Qiu; Le Li; Pengzheng Lei; Zhilin Wang (WCSP, 2018)

No, you're not alone: A better way to find people with similar experiences on Reddit. - Zhilin Wang; Elena Rastorgueva; Weizhe Lin; Xiaodong Wu (W-NUT@EMNLP, 2019)

FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. - Xu Qin; Zhilin Wang; Yuanchao Bai; Xiaodong Xie; Huizhu Jia (AAAI, 2020)

A Correlated Equilibrium based Transaction Pricing Mechanism in Blockchain. - Qin Hu 001; Yash Nigam; Zhilin Wang; Yawei Wang; Yinhao Xiao (IEEE ICBC, 2020)

Author2Vec: A Framework for Generating User Embedding. - Xiaodong Wu; Weizhe Lin; Zhilin Wang; Elena Rastorgueva (CoRR, 2020)

Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention. - Zhilin Wang; Weizhe Lin; Xiaodong Wu (CoRR, 2020)

Blockchain-based Federated Learning: A Comprehensive Survey. - Zhilin Wang; Qin Hu 001 (CoRR, 2021)

Exploring Assimilation Order to Improve Assimilation with Serial Ensemble Kalman Filter. - Juan Zhao 006; Chengwu Zhao; Hongze Leng; Junqiang Song; Zhilin Wang (J. Circuits Syst. Comput., 2021)

Extracting and Inferring Personal Attributes from Dialogue. - Zhilin Wang; Xuhui Zhou; Rik Koncel-Kedziorski; Alex Marin; Fei Xia (ConvAI@ACL, 2022)

A Survey on IPv6 Security Threats and Defense Mechanisms. - Ning Liu 015; Jing Xia; Zhiping Cai; Tao Yang 041; Bingnan Hou; Zhilin Wang (ICAIS (1), 2022)

Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Transformer-Empowered Content-Aware Collaborative Filtering. - Weizhe Lin; Linjun Shou; Ming Gong 001; Jian Pei 001; Zhilin Wang; Bill Byrne; Daxin Jiang (KaRS@RecSys, 2022)

Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. - Zhilin Wang; Qiao Kang; Xinyi Zhang; Qin Hu 001 (WCNC, 2022)

Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing. - Zhilin Wang; Qin Hu 001; Zehui Xiong (CoRR, 2022)

Blockchain-based Edge Resource Sharing for Metaverse. - Zhilin Wang; Qin Hu 001; Minghui Xu 001; Honglu Jiang (CoRR, 2022)

Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021. - Krisztian Balog; Paramita Mirza; Martin G. Skjæveland; Zhilin Wang (SIGIR Forum, 2022)

Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction. - Changrong Min; Ximing Li; Liang Yang 003; Zhilin Wang; Bo Xu 009; Hongfei Lin (ACL (1), 2023)

FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. - Weizhe Lin; Zhilin Wang; Bill Byrne (EACL (Findings), 2023)

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. - Yi Dong; Zhilin Wang; Makesh Narsimhan Sreedhar; Xianchao Wu; Oleksii Kuchaiev (EMNLP (Findings), 2023)

Humanoid Agents: Platform for Simulating Human-like Generative Agents. - Zhilin Wang; Yu Ying Chiu; Yu Cheung Chiu (EMNLP (Demos), 2023)

Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning. - Zhilin Wang; Qin Hu 001; Minghui Xu 001; Zeihui Xiong (CoRR, 2023)

PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning. - Shengyang Li; Qin Hu 001; Zhilin Wang (CoRR, 2023)

Can We Trust the Similarity Measurement in Federated Learning? - Zhilin Wang; Qin Hu 001; Xukai Zou (CoRR, 2023)

Artificial Intelligence-Based Image Reconstruction for Computed Tomography: A Survey. - Quan Yan; Yunfan Ye; Jing Xia; Zhiping Cai; Zhilin Wang; Qiang Ni (Intell. Autom. Soft Comput., 2023)

Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning. - Cheng Peng; Qin Hu 001; Zhilin Wang; Ryan Wen Liu; Zehui Xiong (IEEE Internet Things J., 2023)

Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. - Zhilin Wang; Qin Hu 001; Ruinian Li; Minghui Xu 001; Zehui Xiong (IEEE Trans. Parallel Distributed Syst., 2023)

Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing. - Qin Hu 001; Zhilin Wang; Minghui Xu 001; Xiuzhen Cheng 001 (IEEE Internet Things J., 2023)

Flow Ripple Reduction in Reciprocating Pumps by Multi-Phase Rectification. - Gürhan Özkayar; Zhilin Wang; Joost C. Lötters; Marcel Tichem; Murali Krishna Ghatkesar (Sensors, 2023)

MAGE: Machine-generated Text Detection in the Wild. - Yafu Li; Qintong Li; Leyang Cui; Wei Bi; Zhilin Wang; Longyue Wang; Linyi Yang; Shuming Shi 001; Yue Zhang 004 (ACL (1), 2024)

Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. - Yafu Li; Zhilin Wang; Leyang Cui; Wei Bi; Shuming Shi 001; Yue Zhang 004 (ACL (Findings), 2024)

Data, Data Everywhere: A Guide for Pretraining Dataset Construction. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Bo Liu; Aastha Jhunjhunwala; Zhilin Wang; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 2024)

HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. - Zhilin Wang; Yi Dong; Jiaqi Zeng; Virginia Adams; Makesh Narsimhan Sreedhar; Daniel Egert; Olivier Delalleau; Jane Polak Scowcroft; Neel Kant; Aidan Swope; Oleksii Kuchaiev (NAACL-HLT, 2024)

HelpSteer 2: Open-source dataset for training top-performing reward models. - Zhilin Wang; Yi Dong; Olivier Delalleau; Jiaqi Zeng; Gerald Shen; Daniel Egert; Jimmy Zhang; Makesh Narsimhan Sreedhar; Oleksii Kuchaiev (NeurIPS, 2024)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. - Xingyun Hong; Yan Shao; Zhilin Wang; Manni Duan; Xiongnan Jin (NLPCC (1), 2024)

Cross-attentional subdomain adaptation with selective knowledge distillation for motor fault diagnosis under variable working conditions. - Yixiang Huang; Kaiwen Zhang; Pengcheng Xia; Zhilin Wang; Yanming Li; Chengliang Liu (Adv. Eng. Informatics, 2024)

NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. - 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; et al. (CoRR, 2024)

HelpSteer2: Open-source dataset for training top-performing reward models. - Zhilin Wang; Yi Dong; Olivier Delalleau; Jiaqi Zeng; Gerald Shen; Daniel Egert; Jimmy J. Zhang; Makesh Narsimhan Sreedhar; Oleksii Kuchaiev (CoRR, 2024)

Nemotron-4 340B Technical Report. - 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; et al. (CoRR, 2024)

Data, Data Everywhere: A Guide for Pretraining Dataset Construction. - Jupinder Parmar; Shrimai Prabhumoye; Joseph Jennings; Bo Li 026; Aastha Jhunjhunwala; Zhilin Wang; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro (CoRR, 2024)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. - Xingyun Hong; Yan Shao; Zhilin Wang; Manni Duan; Jin Xiongnan (CoRR, 2024)

Diverging Preferences: When do Annotators Disagree and do Models Know? - Michael J. Q. Zhang; Zhilin Wang; Jena D. Hwang; Yi Dong; Olivier Delalleau; Yejin Choi 001; Eunsol Choi; Xiang Ren 001; Valentina Pyatkin (CoRR, 2024)

Multi-Scale Location Attention Model for Spatio-Temporal Prediction of Disease Incidence. - Youshen Jiang; Tongqing Zhou; Zhilin Wang; Zhiping Cai; Qiang Ni (Intell. Autom. Soft Comput., 2024)

Resource Optimization for Blockchain-Based Federated Learning in Mobile Edge Computing. - Zhilin Wang; Qin Hu 001; Zehui Xiong; Yuan Liu 002; Dusit Niyato (IEEE Internet Things J., 2024)

Study on the Cascading Failure Robustness of the Belt and Road Land-Sea Transport Network under Emergencies. - Chaojun Ding; Zhilin Wang; Susu Xu (Symmetry, 2024)

The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results. - Xu Yang; Shuo'ou Qu; Zhilin Wang; Lingxiao Li; Xiaofeng An; Zhibin Cong (BMC Medical Imaging, 2024)

HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. - Xiongnan Jin; Zhilin Wang; Jinpeng Chen 001; Liu Yang; Byungkook Oh; Seung-won Hwang; Jianqiang Li (AAAI, 2025)

Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. - Yafu Li; Ronghao Zhang; Zhilin Wang; Huajian Zhang; Leyang Cui; Yongjing Yin; Tong Xiao; Yue Zhang 004 (ACL (1), 2025)

SEE: Continual Fine-tuning with Sequential Ensemble of Experts. - Zhilin Wang; Yafu Li; Xiaoye Qu; Yu Cheng 001 (ACL (Findings), 2025)

Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. - Zhilin Wang; Yafu Li; Jianhao Yan; Yu Cheng 001; Yue Zhang 004 (ACL (1), 2025)

HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks. - Zhilin Wang; Jiaqi Zeng; Olivier Delalleau; Daniel Egert; Ellie Evans; Hoo-Chang Shin; Felipe Soares; Yi Dong; Oleksii Kuchaiev (ACL (1), 2025)

Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction. - Biao Hu; Zhen Huang; Minghao Hu; Pinglv Yang; Peng Qiao; Yong Dou; Zhilin Wang (COLING, 2025)

HelpSteer2-Preference: Complementing Ratings with Preferences. - Zhilin Wang; Alexander Bukharin; Olivier Delalleau; Daniel Egert; Gerald Shen; Jiaqi Zeng; Oleksii Kuchaiev; Yi Dong (ICLR, 2025)

Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection. - Zhilin Wang; Lizhi Shao; Ali Asghar Heidari; Mingjing Wang; Huiling Chen 001 (Expert Syst. Appl., 2025)

A survey on knowledge graph evolution: proliferation, dynamic embedding, and versioning. - Xiongnan Jin; Zhilin Wang; Manni Duan; Yan Shao; Xingyun Hong; Yongheng Wang; Byungkook Oh (Int. J. Web Grid Serv., 2025)

Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization. - Ziyin Xu; Zhilin Wang; Rui Liu; Chenliang Huang; Yuxiang Shi; Mingjing Wang; Huiling Chen (J. King Saud Univ. Comput. Inf. Sci., 2025)

Can We Trust the Similarity Measurement in Federated Learning? - Zhilin Wang; Qin Hu 001; Xukai Zou; Pengfei Hu 001; Xiuzhen Cheng 001 (IEEE Trans. Inf. Forensics Secur., 2025)

Weighted mean of vectors algorithm with neighborhood information interaction and vertical and horizontal crossover mechanism for feature selection. - Zhilin Wang; Yi Chen 023; Zhennao Cai; Ali Asghar Heidari; Lei Liu 048; Huiling Chen 001 (Appl. Intell., 2025)

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning. - Yafu Li; Zhilin Wang; Tingchen Fu; Ganqu Cui; Sen Yang 005; Yu Cheng 001 (CoRR, 2025)

Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. - Shengyang Sun; Yian Zhang; Alexander Bukharin; David Mosallanezhad; Jiaqi Zeng; Soumye Singhal; Gerald Shen; Adithya Renduchintala; Tugrul Konuk; Yi Dong; Zhilin Wang; Dmitry Chichkov; et al. (CoRR, 2025)

Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks. - Zhilin Wang; Jiaqi Zeng; Olivier Delalleau; Daniel Egert; Ellie Evans; Hoo-Chang Shin; Felipe Soares; Yi Dong; Oleksii Kuchaiev (CoRR, 2025)

Adversarial Training of Reward Models. - Alexander Bukharin; Haifeng Qian; Shengyang Sun; Adithya Renduchintala; Soumye Singhal; Zhilin Wang; Oleksii Kuchaiev; Olivier Delalleau; Tuo Zhao (CoRR, 2025)

Llama-Nemotron: Efficient Reasoning Models. - Akhiad Bercovich; Itay Levy; Izik Golan; Mohammad Dabbah; Ran El-Yaniv; Omri Puny; Ido Galil; Zach Moshe; Tomer Ronen; Najeeb Nabwani; Ido Shahaf; Oren Tropp; et al. (CoRR, 2025)

HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages. - Zhilin Wang; Jiaqi Zeng; Olivier Delalleau; Hoo-Chang Shin; Felipe Soares; Alexander Bukharin; Ellie Evans; Yi Dong; Oleksii Kuchaiev (CoRR, 2025)

Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas. - Yu Ying Chiu; Zhilin Wang; Sharan Maiya; Yejin Choi 001; Kyle Fish; Sydney Levine; Evan Hubinger (CoRR, 2025)