Xingrui Yu

37 papers A* 7A 1B 2C 2Journal 22Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Advancing Analytic Class-Incremental Learning through Vision-Language Calibration.
CoRR
Binyu Zhao, Wei Zhang, Xingrui Yu, Zhaonian Zou, Ivor W. Tsang
2026 J jnl
HBVLA: Pushing 1-Bit Post-Training Quantization for Vision-Language-Action Models.
CoRR
Xin Yan, Zhenglin Wan, Feiyang Ye, Xingrui Yu, Hangyu Du, Yang You, Ivor W. Tsang
2026 J jnl
Mitigating Mismatch within Reference-based Preference Optimization.
CoRR
Suqin Yuan, Xingrui Yu, Jiyang Zheng, Lei Feng, Dadong Wang, Ivor W. Tsang, Tongliang Liu
2026 J jnl
SA-VLA: Spatially-Aware Flow-Matching for Vision-Language-Action Reinforcement Learning.
CoRR
Xu Pan, Zhenglin Wan, Xingrui Yu, Xianwei Zheng, Youkai Ke, Ming Sun, Rui Wang, Ziwei Wang, Ivor W. Tsang
2026 J jnl
Time-Annealed Perturbation Sampling: Diverse Generation for Diffusion Language Models.
CoRR
Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Yiqiao Huang, Ivor W. Tsang, Yang You
2025 A* conf
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration.
ICLR
Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu
2025 J jnl
Beyond-Expert Performance with Limited Demonstrations: Efficient Imitation Learning with Double Exploration.
CoRR
Heyang Zhao, Xingrui Yu, David Mark Bossens, Ivor W. Tsang, Quanquan Gu
2025 A* conf
Diversifying Policy Behaviors with Extrinsic Behavioral Curiosity.
ICML
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Yew-Soon Ong, Ivor W. Tsang
2025 J jnl
FM-IRL: Flow-Matching for Reward Modeling and Policy Regularization in Reinforcement Learning.
CoRR
Zhenglin Wan, Jingxuan Wu, Xingrui Yu, Chubin Zhang, Mingcong Lei, Bo An, Ivor W. Tsang
2025 J jnl
GoRL: An Algorithm-Agnostic Framework for Online Reinforcement Learning with Generative Policies.
CoRR
Chubin Zhang, Zhenglin Wan, Feng Chen, Xingrui Yu, Ivor W. Tsang, Bo An
2025 J jnl
Graph Potential Field Neural Network for Massive Agents Group-wise Path Planning.
Trans. Mach. Learn. Res.
Yueming Lyu, Xiaowei Zhou, Xingrui Yu, Ivor W. Tsang
2025 B conf
HREB-CRF: Hierarchical Reduced-bias EMA for Chinese Named Entity Recognition.
IJCNN
Sijin Sun, Ming Deng, Xingrui Yu, Liangbin Zhao
2025 A conf
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.
AAMAS
Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2025 J jnl
OSCAR: Orthogonal Stochastic Control for Alignment-Respecting Diversity in Flow Matching.
CoRR
Jingxuan Wu, Zhenglin Wan, Xingrui Yu, Yuzhe Yang, Bo An, Ivor W. Tsang
2025 A* conf
POI Recommendation via Multi-Objective Adversarial Imitation Learning.
AAAI
Zhenglin Wan, Anjun Gao, Xingrui Yu, Pingfu Chao, Jun Song, Maohao Ran
2025 J jnl
Reflection-Driven Control for Trustworthy Code Agents.
CoRR
Bin Wang, Jiazheng Quan, Xingrui Yu, Hansen Hu, Yuhao, Ivor W. Tsang
2025 B conf
Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection.
IJCNN
Sijin Sun, Ming Deng, Xingrui Yu, Xingyu Xi, Liangbin Zhao
2025 J jnl
Self-Adaptive Gamma Context-Aware SSM-based Model for Metal Defect Detection.
CoRR
Sijin Sun, Ming Deng, Xingrui Yu, Xinyu Xi, Liangbin Zhao
2024 — conf
A Comparative Study of Reinforcement Learning-based Collision Avoidance for Maritime Autonomous Surface Ships.
CAI
Liangbin Zhao, Xingrui Yu, Xiuju Fu
2024 — conf
Fine-Grained Partial Label Learning.
CAI
Cheng Chen, Yueming Lyu, Xingrui Yu, Jing Li, Ivor W. Tsang
2024 J jnl
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration.
CoRR
Xingrui Yu, Zhenglin Wan, David Mark Bossens, Yueming Lyu, Qing Guo, Ivor W. Tsang
2024 J jnl
Quality Diversity Imitation Learning.
CoRR
Zhenglin Wan, Xingrui Yu, David Mark Bossens, Yueming Lyu, Qing Guo, Flint Xiaofeng Fan, Ivor W. Tsang
2024 J jnl
USN: A Robust Imitation Learning Method against Diverse Action Noise.
J. Artif. Intell. Res.
Xingrui Yu, Bo Han, Ivor W. Tsang
2020 A* conf
Intrinsic Reward Driven Imitation Learning via Generative Model.
ICML
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
2020 J jnl
Intrinsic Reward Driven Imitation Learning via Generative Model.
CoRR
Xingrui Yu, Yueming Lyu, Ivor W. Tsang
2020 A* conf
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust.
ICML
Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
2019 J jnl
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework.
CoRR
He Zhang, Xingrui Yu, Peng Ren, Chunbo Luo, Geyong Min
2019 A* conf
How does Disagreement Help Generalization against Label Corruption?
ICML
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
2019 J jnl
How does Disagreement Help Generalization against Label Corruption?
CoRR
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama
2018 J jnl
Co-sampling: Training Robust Networks for Extremely Noisy Supervision.
CoRR
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018 A* conf
Co-teaching: Robust training of deep neural networks with extremely noisy labels.
NeurIPS
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018 J jnl
Oil Spill Segmentation via Adversarial f-Divergence Learning.
IEEE Trans. Geosci. Remote. Sens.
Xingrui Yu, He Zhang, Chunbo Luo, Hairong Qi, Peng Ren
2018 J jnl
Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.
CoRR
Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor W. Tsang, Masashi Sugiyama
2018 J jnl
Stereo Matching via Dual Fusion.
IEEE Signal Process. Lett.
Huixin Dong, Tingwei Wang, Xingrui Yu, Peng Ren
2018 C conf
Typhoon Cloud Prediction Via Generative Adversarial Networks.
IGARSS
Hui Li, Xingrui Yu, Peng Ren
2017 C conf
Level sets with self-guided filtering for marine oil spill segmentation.
IGARSS
Fang Chen, Xingrui Yu, Xiangyuan Jiang, Peng Ren
2017 — conf
MCMC Based Generative Adversarial Networks for Handwritten Numeral Augmentation.
CSPS
He Zhang, Chunbo Luo, Xingrui Yu, Peng Ren