Zhilin Wang - RankMe

97 papers A* 6B 3Journal 65Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated brain extraction on diffusion-weighted images using pseudo and cross semi-supervised method. Neurocomputing Yibing Chen, Benqi Zhao, Jinyang Li, Zhilin Wang, Yingchun Fan, Kaiyue Su, Zhuozhao Zheng, Zhensen Chen
2026	J	`jnl`	Characterizing, Evaluating, and Optimizing Complex Reasoning. CoRR Haoran Zhang, Yafu Li, Zhi Wang, Zhilin Wang, Shunkai Zhang, Xiaoye Qu, Yu Cheng
2026	J	`jnl`	New Skills or Sharper Primitives? A Probabilistic Perspective on the Emergence of Reasoning in RLVR. CoRR Zhilin Wang, Yafu Li, Shunkai Zhang, Zhi Wang, Haoran Zhang, Xiaoye Qu, Yu Cheng
2026	J	`jnl`	The Impact of Interface Visual Complexity on the Visual Behavior of Elderly Users in Mobile Audiobook Application Recommendation Interfaces. Int. J. Hum. Comput. Interact. Puhong Li, Shuqi Dai, Yusheng Li, Fengran Lin, Zhilin Wang, Chengbo Yang
2026	J	`jnl`	Trajectory prediction and direction separation-based Harris hawks optimization for feature selection in high-dimensional medical data. Int. J. Mach. Learn. Cybern. Zhilin Wang, Lizhi Shao, Mingjing Wang, Huiling Chen
2025	J	`jnl`	A survey on knowledge graph evolution: proliferation, dynamic embedding, and versioning. Int. J. Web Grid Serv. Xiongnan Jin, Zhilin Wang, Manni Duan, Yan Shao, Xingyun Hong, Yongheng Wang, Byungkook Oh
2025	J	`jnl`	Adversarial Training of Reward Models. CoRR Alexander Bukharin, Haifeng Qian, Shengyang Sun, Adithya Renduchintala, Soumye Singhal, Zhilin Wang, Oleksii Kuchaiev, Olivier Delalleau, Tuo Zhao
2025	J	`jnl`	Can We Trust the Similarity Measurement in Federated Learning? IEEE Trans. Inf. Forensics Secur. Zhilin Wang, Qin Hu, Xukai Zou, Pengfei Hu, Xiuzhen Cheng
2025	J	`jnl`	Dedicated Feedback and Edit Models Empower Inference-Time Scaling for Open-Ended General-Domain Tasks. CoRR Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
2025	A*	`conf`	Diverging Preferences: When do Annotators Disagree and do Models Know? ICML Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
2025	J	`jnl`	Efficient multi-UAV path planning in dynamic and complex environments using hybrid polar lights optimization. J. King Saud Univ. Comput. Inf. Sci. Ziyin Xu, Zhilin Wang, Rui Liu, Chenliang Huang, Yuxiang Shi, Mingjing Wang, Huiling Chen
2025	J	`jnl`	Evaluating Parameter Efficient Methods for RLVR. CoRR Qingyu Yin, Yulun Wu, Zhennan Shen, Sunbowen Li, Zhilin Wang, Yanshu Li, Chak Tou Leong, Jiale Kang, Jinjin Gu
2025	J	`jnl`	From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning. CoRR Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng
2025	A*	`conf`	HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models. AAAI Xiongnan Jin, Zhilin Wang, Jinpeng Chen, Liu Yang, Byungkook Oh, Seung-won Hwang, Jianqiang Li
2025	A*	`conf`	HelpSteer2-Preference: Complementing Ratings with Preferences. ICLR Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong
2025	J	`jnl`	HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages. CoRR Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Hoo-Chang Shin, Felipe Soares, Alexander Bukharin, Ellie Evans, Yi Dong, Oleksii Kuchaiev
2025	—	`conf`	HelpSteer3: Human-Annotated Feedback and Edit Data to Empower Inference-Time Scaling in Open-Ended General-Domain Tasks. ACL (1) Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Daniel Egert, Ellie Evans, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
2025	—	`conf`	Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. ACL (1) Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang
2025	J	`jnl`	Lost in Literalism: How Supervised Training Shapes Translationese in LLMs. CoRR Yafu Li, Ronghao Zhang, Zhilin Wang, Huajian Zhang, Leyang Cui, Yongjing Yin, Tong Xiao, Yue Zhang
2025	B	`conf`	Partial Order-centered Hyperbolic Representation Learning for Few-shot Relation Extraction. COLING Biao Hu, Zhen Huang, Minghao Hu, Pinglv Yang, Peng Qiao, Yong Dou, Zhilin Wang
2025	J	`jnl`	Prior knowledge evaluation and emphasis sampling-based evolutionary algorithm for high-dimensional medical data feature selection. Expert Syst. Appl. Zhilin Wang, Lizhi Shao, Ali Asghar Heidari, Mingjing Wang, Huiling Chen
2025	J	`jnl`	ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge. CoRR Zhilin Wang, Jaehun Jung, Ximing Lu, Shizhe Diao, Ellie Evans, Jiaqi Zeng, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong
2025	J	`jnl`	Q-learning enhanced differential evolution for feature selection in high-dimensional medical data analysis. J. King Saud Univ. Comput. Inf. Sci. Chenliang Huang, Mingjing Wang, Ali Asghar Heidari, Zhilin Wang, Huiling Chen
2025	J	`jnl`	RLBFF: Binary Flexible Feedback to bridge between Human Feedback & Verifiable Rewards. CoRR Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Ellie Evans, Daniel Egert, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev
2025	J	`jnl`	Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration. CoRR Haoran Zhang, Yafu Li, Xuyang Hu, Dongrui Liu, Zhilin Wang, Bo Li, Yu Cheng
2025	J	`jnl`	Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment. CoRR Shengyang Sun, Yian Zhang, Alexander Bukharin, David Mosallanezhad, Jiaqi Zeng, Soumye Singhal, Gerald Shen, Adithya Renduchintala, Tugrul Konuk, Yi Dong, Zhilin Wang, Dmitry Chichkov, Olivier Delalleau, Oleksii Kuchaiev
2025	—	`conf`	SEE: Continual Fine-tuning with Sequential Ensemble of Experts. ACL (Findings) Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025	J	`jnl`	SEE: Continual Fine-tuning with Sequential Ensemble of Experts. CoRR Zhilin Wang, Yafu Li, Xiaoye Qu, Yu Cheng
2025	B	`conf`	ST-QAT: Leveraging Self-Training to Enhance Quantization-Aware Training. IJCNN Hang Wang, Menglong Lu, Zhen Huang, Bin Liang, Zhilin Wang, Feng Liu
2025	J	`jnl`	Towards an AI Musician: Synthesizing Sheet Music Problems for Musical Reasoning. CoRR Zhilin Wang, Zhe Yang, Yun Luo, Yafu Li, Xiaoye Qu, Ziqian Qiao, Haoran Zhang, Runzhe Zhan, Derek F. Wong, Jizhe Zhou, Yu Cheng
2025	—	`conf`	Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. ACL (1) Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang
2025	J	`jnl`	Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing. CoRR Zhilin Wang, Yafu Li, Jianhao Yan, Yu Cheng, Yue Zhang
2025	J	`jnl`	Weighted mean of vectors algorithm with neighborhood information interaction and vertical and horizontal crossover mechanism for feature selection. Appl. Intell. Zhilin Wang, Yi Chen, Zhennao Cai, Ali Asghar Heidari, Lei Liu, Huiling Chen
2025	J	`jnl`	Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas. CoRR Yu Ying Chiu, Zhilin Wang, Sharan Maiya, Yejin Choi, Kyle Fish, Sydney Levine, Evan Hubinger
2024	J	`jnl`	Cross-attentional subdomain adaptation with selective knowledge distillation for motor fault diagnosis under variable working conditions. Adv. Eng. Informatics Yixiang Huang, Kaiwen Zhang, Pengcheng Xia, Zhilin Wang, Yanming Li, Chengliang Liu
2024	A*	`conf`	Data, Data Everywhere: A Guide for Pretraining Dataset Construction. EMNLP Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Liu, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	Data, Data Everywhere: A Guide for Pretraining Dataset Construction. CoRR Jupinder Parmar, Shrimai Prabhumoye, Joseph Jennings, Bo Li, Aastha Jhunjhunwala, Zhilin Wang, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro
2024	J	`jnl`	Diverging Preferences: When do Annotators Disagree and do Models Know? CoRR Michael J. Q. Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
2024	A*	`conf`	HelpSteer 2: Open-source dataset for training top-performing reward models. NeurIPS Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev
2024	J	`jnl`	HelpSteer2-Preference: Complementing Ratings with Preferences. CoRR Zhilin Wang, Alexander Bukharin, Olivier Delalleau, Daniel Egert, Gerald Shen, Jiaqi Zeng, Oleksii Kuchaiev, Yi Dong
2024	J	`jnl`	HelpSteer2: Open-source dataset for training top-performing reward models. CoRR Zhilin Wang, Yi Dong, Olivier Delalleau, Jiaqi Zeng, Gerald Shen, Daniel Egert, Jimmy J. Zhang, Makesh Narsimhan Sreedhar, Oleksii Kuchaiev
2024	—	`conf`	HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. NAACL-HLT Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
2024	—	`conf`	MAGE: Machine-generated Text Detection in the Wild. ACL (1) Yafu Li, Qintong Li, Leyang Cui, Wei Bi, Zhilin Wang, Longyue Wang, Linyi Yang, Shuming Shi, Yue Zhang
2024	J	`jnl`	Multi-Scale Location Attention Model for Spatio-Temporal Prediction of Disease Incidence. Intell. Autom. Soft Comput. Youshen Jiang, Tongqing Zhou, Zhilin Wang, Zhiping Cai, Qiang Ni
2024	J	`jnl`	NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment. CoRR 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
2024	J	`jnl`	Resource Optimization for Blockchain-Based Federated Learning in Mobile Edge Computing. IEEE Internet Things J. Zhilin Wang, Qin Hu, Zehui Xiong, Yuan Liu, Dusit Niyato
2024	—	`conf`	Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. ACL (Findings) Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang
2024	J	`jnl`	Spotting AI's Touch: Identifying LLM-Paraphrased Spans in Text. CoRR Yafu Li, Zhilin Wang, Leyang Cui, Wei Bi, Shuming Shi, Yue Zhang
2024	J	`jnl`	Study on the Cascading Failure Robustness of the Belt and Road Land-Sea Transport Network under Emergencies. Symmetry Chaojun Ding, Zhilin Wang, Susu Xu
2024	J	`jnl`	The study on ultrasound image classification using a dual-branch model based on Resnet50 guided by U-net segmentation results. BMC Medical Imaging Xu Yang, Shuo'ou Qu, Zhilin Wang, Lingxiao Li, Xiaofeng An, Zhibin Cong
2024	—	`conf`	Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. NLPCC (1) Xingyun Hong, Yan Shao, Zhilin Wang, Manni Duan, Xiongnan Jin
2024	J	`jnl`	Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models. CoRR Xingyun Hong, Yan Shao, Zhilin Wang, Manni Duan, Jin Xiongnan
2023	J	`jnl`	Artificial Intelligence-Based Image Reconstruction for Computed Tomography: A Survey. Intell. Autom. Soft Comput. Quan Yan, Yunfan Ye, Jing Xia, Zhiping Cai, Zhilin Wang, Qiang Ni
2023	J	`jnl`	Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing. IEEE Internet Things J. Qin Hu, Zhilin Wang, Minghui Xu, Xiuzhen Cheng
2023	J	`jnl`	Can We Trust the Similarity Measurement in Federated Learning? CoRR Zhilin Wang, Qin Hu, Xukai Zou
2023	—	`conf`	FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. EACL (Findings) Weizhe Lin, Zhilin Wang, Bill Byrne
2023	J	`jnl`	FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. CoRR Weizhe Lin, Zhilin Wang, Bill Byrne
2023	J	`jnl`	Flow Ripple Reduction in Reciprocating Pumps by Multi-Phase Rectification. Sensors Gürhan Özkayar, Zhilin Wang, Joost C. Lötters, Marcel Tichem, Murali Krishna Ghatkesar
2023	J	`jnl`	HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM. CoRR Zhilin Wang, Yi Dong, Jiaqi Zeng, Virginia Adams, Makesh Narsimhan Sreedhar, Daniel Egert, Olivier Delalleau, Jane Polak Scowcroft, Neel Kant, Aidan Swope, Oleksii Kuchaiev
2023	—	`conf`	Humanoid Agents: Platform for Simulating Human-like Generative Agents. EMNLP (Demos) Zhilin Wang, Yu Ying Chiu, Yu Cheung Chiu
2023	J	`jnl`	Humanoid Agents: Platform for Simulating Human-like Generative Agents. CoRR Zhilin Wang, Yu Ying Chiu, Yu Cheung Chiu
2023	J	`jnl`	Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning. IEEE Trans. Parallel Distributed Syst. Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong
2023	—	`conf`	Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction. ACL (1) Changrong Min, Ximing Li, Liang Yang, Zhilin Wang, Bo Xu, Hongfei Lin
2023	J	`jnl`	Online-Learning-Based Fast-Convergent and Energy-Efficient Device Selection in Federated Edge Learning. IEEE Internet Things J. Cheng Peng, Qin Hu, Zhilin Wang, Ryan Wen Liu, Zehui Xiong
2023	J	`jnl`	PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning. CoRR Shengyang Li, Qin Hu, Zhilin Wang
2023	—	`conf`	SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. EMNLP (Findings) Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev
2023	J	`jnl`	SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF. CoRR Yi Dong, Zhilin Wang, Makesh Narsimhan Sreedhar, Xianchao Wu, Oleksii Kuchaiev
2023	J	`jnl`	Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning. CoRR Zhilin Wang, Qin Hu, Minghui Xu, Zeihui Xiong
2022	—	`conf`	A Survey on IPv6 Security Threats and Defense Mechanisms. ICAIS (1) Ning Liu, Jing Xia, Zhiping Cai, Tao Yang, Bingnan Hou, Zhilin Wang
2022	J	`jnl`	Blockchain-based Edge Resource Sharing for Metaverse. CoRR Zhilin Wang, Qin Hu, Minghui Xu, Honglu Jiang
2022	—	`conf`	Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
2022	B	`conf`	Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. WCNC Zhilin Wang, Qiao Kang, Xinyi Zhang, Qin Hu
2022	J	`jnl`	Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey. CoRR Zhilin Wang, Qiao Kang, Xinyi Zhang, Qin Hu
2022	—	`conf`	Extracting and Inferring Personal Attributes from Dialogue. ConvAI@ACL Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
2022	J	`jnl`	Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated Learning. CoRR Zhilin Wang, Qin Hu, Ruinian Li, Minghui Xu, Zehui Xiong
2022	J	`jnl`	Report on the Workshop on Personal Knowledge Graphs (PKG 2021) at AKBC 2021. SIGIR Forum Krisztian Balog, Paramita Mirza, Martin G. Skjæveland, Zhilin Wang
2022	J	`jnl`	Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing. CoRR Zhilin Wang, Qin Hu, Zehui Xiong
2022	J	`jnl`	Transaction pricing mechanism design and assessment for blockchain. High Confid. Comput. Zhilin Wang, Qin Hu, Yawei Wang, Yinhao Xiao
2022	—	`conf`	Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
2022	J	`jnl`	Transformer-Empowered Content-Aware Collaborative Filtering. CoRR Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang
2021	J	`jnl`	Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing. CoRR Qin Hu, Zhilin Wang, Minghui Xu, Xiuzhen Cheng
2021	J	`jnl`	Blockchain-based Federated Learning: A Comprehensive Survey. CoRR Zhilin Wang, Qin Hu
2021	J	`jnl`	Exploring Assimilation Order to Improve Assimilation with Serial Ensemble Kalman Filter. J. Circuits Syst. Comput. Juan Zhao, Chengwu Zhao, Hongze Leng, Junqiang Song, Zhilin Wang
2021	J	`jnl`	Extracting and Inferring Personal Attributes from Dialogue. CoRR Zhilin Wang, Xuhui Zhou, Rik Koncel-Kedziorski, Alex Marin, Fei Xia
2020	—	`conf`	A Correlated Equilibrium based Transaction Pricing Mechanism in Blockchain. IEEE ICBC Qin Hu, Yash Nigam, Zhilin Wang, Yawei Wang, Yinhao Xiao
2020	J	`jnl`	Author2Vec: A Framework for Generating User Embedding. CoRR Xiaodong Wu, Weizhe Lin, Zhilin Wang, Elena Rastorgueva
2020	A*	`conf`	FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. AAAI Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia
2020	J	`jnl`	Identifying Similar Movie Characters Quickly but Effectively Using Non-exhaustive Pair-wise Attention. CoRR Zhilin Wang, Weizhe Lin, Xiaodong Wu
2019	J	`jnl`	FFA-Net: Feature Fusion Attention Network for Single Image Dehazing. CoRR Xu Qin, Zhilin Wang, Yuanchao Bai, Xiaodong Xie, Huizhu Jia
2019	—	`conf`	No, you're not alone: A better way to find people with similar experiences on Reddit. W-NUT@EMNLP Zhilin Wang, Elena Rastorgueva, Weizhe Lin, Xiaodong Wu
2018	—	`conf`	Multiple Targets Tracking by Using Probability Data Association and Cubature Kalman Filter. WCSP Wei Qiu, Le Li, Pengzheng Lei, Zhilin Wang
2017	—	`conf`	A Case Study of Detecting and Characterizing Large-Scale Prefix Hijackings in the Internet. ICNCC Yujing Liu, Zhilin Wang, Nan Li
2017	—	`conf`	A Robust Affine Invariant Point Extraction Algorithm for Image Registration. ISCID (1) Wei Wang, Xingwei Yan, Zhilin Wang, Jianhua Shi
2016	J	`jnl`	Assessing Resilience of Inter-Domain Routing System under Regional Failures. KSII Trans. Internet Inf. Syst. Yujing Liu, Wei Peng, Jinshu Su, Zhilin Wang
2014	J	`jnl`	Assessing the Impact of Cascading Failures on the Interdomain Routing System of the Internet. New Gener. Comput. Yujing Liu, Wei Peng, Jinshu Su, Zhilin Wang
2013	—	`conf`	Assessing Survivability of Inter-domain Routing System under Cascading Failures. ICoC Yujing Liu, Wei Peng, Jinshu Su, Zhilin Wang
2011	—	`conf`	Policy-Based SLA-Aware Cloud Service Provision Framework. SKG Zhilin Wang, Xinhuai Tang, Xiangfeng Luo