Jiayun Wu - RankMe

45 papers A* 8A 1B 1C 2Misc 1Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Camouflaged Object Detection Via Frequency-Aware Localization Perception and Boundary-Aware Detail Enhancement. IEEE Trans. Consumer Electron. Chenxi Zhang, Qing Zhang, Wei He, Jiayun Wu, Chenyu Zhuang
2026	J	`jnl`	Fast-Slow Thinking RM: Efficient Integration of Scalar and Generative Reward Models. CoRR Jiayun Wu, Peixu Hou, Shan Qu, Peng Zhang, Ning Gu, Tun Lu
2025	J	`jnl`	A multi-view privacy-preserving knowledge distillation method with adversarial training and differential privacy. Inf. Sci. Jiayun Wu, Wei Ren, Lianchong Zhang, Xianchao Zhang, Tianqing Zhu
2025	J	`jnl`	AdaptSel: Adaptive Selection of Biased and Debiased Recommendation Models for Varying Test Environments. ACM Trans. Knowl. Discov. Data Zimu Wang, Hao Zou, Jiashuo Liu, Jiayun Wu, Pengfei Tian, Yue He, Peng Cui
2025	J	`jnl`	Adaptive Human-Agent Teaming: A Review of Empirical Studies from the Process Dynamics Perspective. CoRR Mengyao Wang, Jiayun Wu, Shuai Ma, Nuo Li, Peng Zhang, Ning Gu, Tun Lu
2025	A*	`conf`	Benign Overfitting in Out-of-Distribution Generalization of Linear Models. ICLR Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
2025	A*	`conf`	CGCOD: Class-Guided Camouflaged Object Detection. ACM Multimedia Chenxi Zhang, Qing Zhang, Jiayun Wu, Youwei Pang
2025	J	`jnl`	Dimension-Free Decision Calibration for Nonlinear Loss Functions. CoRR Jingwu Tang, Jiayun Wu, Zhiwei Steven Wu, Jiahao Zhang
2025	J	`jnl`	Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction. CoRR Yong Lin, Shange Tang, Bohan Lyu, Ziran Yang, Jui-Hui Chung, Haoyu Zhao, Lai Jiang, Yihan Geng, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, Ximing Lu, David Acuna, Kaiyu Yang, Hongzhou Lin, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin
2025	J	`jnl`	Goedel-Prover: A Frontier Model for Open-Source Automated Theorem Proving. CoRR Yong Lin, Shange Tang, Bohan Lyu, Jiayun Wu, Hongzhou Lin, Kaiyu Yang, Jia Li, Mengzhou Xia, Danqi Chen, Sanjeev Arora, Chi Jin
2025	B	`conf`	HEFNet: Hierarchical Unimodal Enhancement and Multi-modal Fusion for RGB-T Salient Object Detection. IJCNN Jiayun Wu, Qing Zhang, Chenxi Zhang, Yanjiao Shi, Qiangqiang Zhou
2025	A*	`conf`	Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage. ICML Konstantina Bairaktari, Jiayun Wu, Steven Wu
2025	J	`jnl`	Kandinsky Conformal Prediction: Beyond Class- and Covariate-Conditional Coverage. CoRR Konstantina Bairaktari, Jiayun Wu, Zhiwei Steven Wu
2025	J	`jnl`	LLM Swiss Round: Aggregating Multi-Benchmark Performance via Competitive Swiss-System Dynamics. CoRR Jiashuo Liu, Jiayun Wu, Chunjie Wu, Jingkai Liu, Zaiyuan Wang, Zhou Huan, Wenhao Huang, Hongseok Namkoong
2025	J	`jnl`	LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence. CoRR Xingxuan Zhang, Gang Ren, Han Yu, Hao Yuan, Hui Wang, Jiansheng Li, Jiayun Wu, Lang Mo, Li Mao, Mingchao Hao, Ningbo Dai, Renzhe Xu, Shuyang Li, Tianyang Zhang, Yue He, Yuanrui Wang, Yunjia Zhang, Zijing Xu, Dongzhe Li, Fang Gao, Hao Zou, Jiandong Liu, Jiashuo Liu, Jiawei Xu, Kaijie Cheng, Kehan Li, Linjun Zhou, Qing Li, Shaohua Fan, Xiaoyu Lin, Xinyan Han, Xuanyue Li, Yan Lu, Yuan Xue, Yuanyuan Jiang, Zimu Wang, Zhenlei Wang, Peng Cui
2025	J	`jnl`	Mitigating LLM Hallucination via Behaviorally Calibrated Reinforcement Learning. CoRR Jiayun Wu, Jiashuo Liu, Zhiyuan Zeng, Tianyang Zhan, Tianle Cai, Wenhao Huang
2025	Misc	`conf`	Rethinking Camouflaged Object Detection via Foreground-Background Interactive Learning. ICASSP Chenxi Zhang, Qing Zhang, Jiayun Wu
2025	J	`jnl`	Retrospective Memory for Camouflaged Object Detection. CoRR Chenxi Zhang, Jiayun Wu, Qing Zhang, Yazhe Zhai, Youwei Pang
2025	A*	`conf`	Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. ICML Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
2024	J	`jnl`	A Survey on Evaluation of Out-of-Distribution Generalization. CoRR Han Yu, Jiashuo Liu, Xingxuan Zhang, Jiayun Wu, Peng Cui
2024	—	`conf`	An Encoder-Based Framework for Privacy-Preserving Machine Learning. ICA3PP (6) Jiayun Wu, Wei Ren, Xianchao Zhang, Xianghan Zheng
2024	J	`jnl`	Benign Overfitting in Out-of-Distribution Generalization of Linear Models. CoRR Shange Tang, Jiayun Wu, Jianqing Fan, Chi Jin
2024	A*	`conf`	Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. NeurIPS Jiayun Wu, Jiashuo Liu, Peng Cui, Steven Wu
2024	J	`jnl`	Bridging Multicalibration and Out-of-distribution Generalization Beyond Covariate Shift. CoRR Jiayun Wu, Jiashuo Liu, Peng Cui, Zhiwei Steven Wu
2024	J	`jnl`	CGCOD: Class-Guided Camouflaged Object Detection. CoRR Chenxi Zhang, Qing Zhang, Jiayun Wu, Youwei Pang
2024	J	`jnl`	Emergence and Causality in Complex Systems: A Survey of Causal Emergence and Related Quantitative Studies. Entropy Bing Yuan, Jiang Zhang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
2024	A	`conf`	Enhancing Distributional Stability among Sub-populations. AISTATS Jiashuo Liu, Jiayun Wu, Jie Peng, Xiaoyu Wu, Yang Zheng, Bo Li, Peng Cui
2024	A*	`conf`	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. ICML Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2024	J	`jnl`	Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph. CoRR Weihuang Zheng, Jiashuo Liu, Jiaxing Li, Jiayun Wu, Peng Cui, Youyong Kong
2023	J	`jnl`	Emergence and Causality in Complex Systems: A Survey on Causal Emergence and Related Quantitative Studies. CoRR Bing Yuan, Zhang Jiang, Aobo Lyu, Jiayun Wu, Zhipeng Wang, Mingzhe Yang, Kaiwei Liu, Muyun Mou, Peng Cui
2023	J	`jnl`	Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications. CoRR Jiashuo Liu, Jiayun Wu, Tianyu Wang, Hao Zou, Bo Li, Peng Cui
2023	A*	`conf`	Measure the Predictive Heterogeneity. ICLR Jiashuo Liu, Jiayun Wu, Renjie Pi, Renzhe Xu, Xingxuan Zhang, Bo Li, Peng Cui
2023	J	`jnl`	Predictive Heterogeneity: Measures and Applications. CoRR Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
2023	J	`jnl`	Transforming Graphs for Enhanced Attribute-Based Clustering: An Innovative Graph Transformer Method. CoRR Shuo Han, Jiacheng Liu, Jiayun Wu, Yinan Chen, Li Tao
2022	J	`jnl`	Distributionally Invariant Learning: Rationalization and Practical Algorithms. CoRR Jiashuo Liu, Jiayun Wu, Jie Peng, Zheyan Shen, Bo Li, Peng Cui
2022	A*	`conf`	Distributionally Robust Optimization with Data Geometry. NeurIPS Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui
2022	—	`conf`	Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta Jiayun Wu, Tao Jia, Yansong Wang, Li Tao
2022	J	`jnl`	Significant Ties Graph Neural Networks for Continuous-Time Temporal Networks Modeling. CoRR Jiayun Wu, Tao Jia, Yansong Wang, Li Tao
2021	J	`jnl`	Dynamic Multichannel Sensing in Cognitive Radio: Hierarchical Reinforcement Learning. IEEE Access Shuai Liu, Jiayun Wu, Jing He
2016	—	`conf`	Resource Space Extension Model. SKG Jiayun Wu, Bei Xu
2015	—	`conf`	Real-time visual detection of early manmade fire. ICIA Jiayun Wu
2013	—	`conf`	Real-time compressive tracking with motion estimation. ROBIO Jiayun Wu, Daquan Chen, Rui Yi
2013	—	`conf`	Scalable compressive tracking based on motion. ROBIO Xiao Chen, Jiayun Wu
2012	C	`conf`	A color grouping method for detection of object regions based on local saliency. ICARCV Jiayun Wu, Kah Bin Lim
2010	C	`conf`	Convergence of Kalman filter with quantized innovations. ICARCV Jian Xu, Jianxun Li, Jiayun Wu