Bingyi Kang

According to our database, Bingyi Kang authored at least 83 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Deceptive evidence detection in information fusion of belief functions based on reinforcement learning.

Bingyi Kang, Chunjiang Zhao

Inf. Fusion, March, 2024

Improving Token-Based World Models with Parallel Observation Prediction.

Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor

CoRR, 2024

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

CoRR, 2024

2023

Evaluate the reliability of information sources using the non-parametric plausibility ReliefF algorithm for multi-source information fusion.

Mengyi Zhang, Huizi Cui, Xu Tian, Bingyi Kang, Lvwen Huang

Appl. Soft Comput., November, 2023

Deep Long-Tailed Learning: A Survey.

Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

The aggregation of <i>Z</i>-numbers based on overlap functions and grouping functions and its application on group decision-making.

Gongao Qi, Juanrui Li, Bingyi Kang, Bin Yang

Inf. Sci., April, 2023

Determine the number of unknown targets in the open world from the perspective of bidirectional analysis using Gap statistic and Isolation forest.

Huizi Cui, Yuhang Chang, Huaqing Zhang, Xiangjun Mi, Bingyi Kang

Inf. Sci., April, 2023

Exploring Simple and Transferable Recognition-Aware Image Processing.

Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

A multi-criteria group decision-making method based on OWA aggregation operator and Z-numbers.

Ruolan Cheng, Ruonan Zhu, Ye Tian, Bingyi Kang, Jianfeng Zhang

Soft Comput., February, 2023

BGC: Belief gravitational clustering approach and its application in the counter-deception of belief functions.

Huizi Cui, Huaqing Zhang, Yuhang Chang, Bingyi Kang

Eng. Appl. Artif. Intell., 2023

Harnessing Diffusion Models for Visual Perception with Meta Prompts.

Qiang Wan, Zilong Huang, Bingyi Kang, Jiashi Feng, Li Zhang

CoRR, 2023

BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs.

Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang

CoRR, 2023

Offline Prioritized Experience Replay.

Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan

CoRR, 2023

Improving and Benchmarking Offline Reinforcement Learning Algorithms.

Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan

CoRR, 2023

MADiff: Offline Multi-agent Learning with Diffusion Models.

Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

CoRR, 2023

Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.

Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models.

Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Efficient Diffusion Policies For Offline Reinforcement Learning.

Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mutual Information Regularized Offline Reinforcement Learning.

Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bag of Tricks for Training Data Extraction from Language Models.

Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments.

Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.

Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Ranking of Z-Numbers Based on the Developed Golden Rule Representative Value.

Ruolan Cheng, Jianfeng Zhang, Bingyi Kang

IEEE Trans. Fuzzy Syst., 2022

Z-ACM: An approximate calculation method of Z-numbers for large data sets based on kernel density estimation and its application in decision-making.

Ruonan Zhu, Qing Liu, Chongru Huang, Bingyi Kang

Inf. Sci., 2022

A novel conflict management considering the optimal discounting weights using the BWM method in Dempster-Shafer evidence theory.

Lingge Zhou, Huizi Cui, Xiangjun Mi, Jianfeng Zhang, Bingyi Kang

Inf. Sci., 2022

Counter Deception in Belief Functions Using Shapley Value Methodology.

Lingge Zhou, Huizi Cui, Chongru Huang, Bingyi Kang, Jianfeng Zhang

Int. J. Fuzzy Syst., 2022

A Novel Z-TOPSIS Method Based on Improved Distance Measure of Z-Numbers.

Ruolan Cheng, Jianfeng Zhang, Bingyi Kang

Int. J. Fuzzy Syst., 2022

An intelligent quality-based fusion method for complex-valued distributions using POWA operator.

Yanan Li, Ruonan Zhu, Xiangjun Mi, Bingyi Kang

Eng. Appl. Artif. Intell., 2022

Boosting Offline Reinforcement Learning via Data Rebalancing.

Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan

CoRR, 2022

An improved model in fusing multi-source information based on Z-numbers and POWA operator.

Ruonan Zhu, Yanan Li, Ruolan Cheng, Bingyi Kang

Comput. Appl. Math., 2022

A generalized soft likelihood function in combining multi-source belief distribution functions.

Pengdan Zhang, Ruonan Zhu, Jiaqi Chen, Bingyi Kang

Appl. Intell., 2022

A novel method to rank fuzzy numbers using the developed golden rule representative value.

Ruolan Cheng, Bingyi Kang, Jianfeng Zhang

Appl. Intell., 2022

2021

ZSLF: A New Soft Likelihood Function Based on Z-Numbers and Its Application in Expert Decision System.

Ye Tian, Lili Liu, Xiangjun Mi, Bingyi Kang

IEEE Trans. Fuzzy Syst., 2021

An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem.

Pengdan Zhang, Qing Liu, Bingyi Kang

J. Intell. Fuzzy Syst., 2021

MADA problem: A new scheme based on D numbers and aggregation functions.

Xiangjun Mi, Ye Tian, Bingyi Kang

J. Intell. Fuzzy Syst., 2021

Basic probability assignment to probability distribution function based on the Shapley value approach.

Chongru Huang, Xiangjun Mi, Bingyi Kang

Int. J. Intell. Syst., 2021

Strategies of attack-defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment.

Yingfu Wu, Bingyi Kang, Hao Wu

Eng. Appl. Artif. Intell., 2021

ZE-numbers: A new extended Z-numbers and its application on multiple attribute group decision making.

Ye Tian, Xiangjun Mi, Yunpeng Ji, Bingyi Kang

Eng. Appl. Artif. Intell., 2021

Refiner: Refining Self-attention for Vision Transformers.

Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng

CoRR, 2021

DeepViT: Towards Deeper Vision Transformer.

Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng

CoRR, 2021

Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition.

Ye Tian, Xiangjun Mi, Huizi Cui, Pengdan Zhang, Bingyi Kang

Appl. Soft Comput., 2021

A hybrid multi-criteria decision making approach for assessing health-care waste management technologies based on soft likelihood function and D-numbers.

Xiangjun Mi, Ye Tian, Bingyi Kang

Appl. Intell., 2021

Exploring Balanced Feature Spaces for Representation Learning.

Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng

Proceedings of the 9th International Conference on Learning Representations, 2021

Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control.

Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A modified method of generating Z-number based on OWA weights and maximum entropy.

Ye Tian, Bingyi Kang

Soft Comput., 2020

Online Meta Adaptation for Fast Video Object Segmentation.

Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Environmental assessment under uncertainty using Dempster-Shafer theory and Z-numbers.

Bingyi Kang, Pengdan Zhang, Zhenyu Gao, Gyan Chhipi-Shrestha, Kasun Hewage, Rehan Sadiq

J. Ambient Intell. Humaniz. Comput., 2020

On the Negation of discrete Z-numbers.

Qing Liu, Huizi Cui, Ye Tian, Bingyi Kang

Inf. Sci., 2020

Extension of Yager's negation of a probability distribution based on Tsallis entropy.

Jing Zhang, Ruqin Liu, Jianfeng Zhang, Bingyi Kang

Int. J. Intell. Syst., 2020

A modified soft-likelihood function based on POWA operator.

Xiangjun Mi, Ye Tian, Bingyi Kang

Int. J. Intell. Syst., 2020

A New Soft Likelihood Function Based on D Numbers in Handling Uncertain Information.

Ye Tian, Xiangjun Mi, Lili Liu, Bingyi Kang

Int. J. Fuzzy Syst., 2020

Few-shot Classification via Adaptive Attention.

Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng

CoRR, 2020

On the belief universal gravitation (BUG).

Xiangjun Mi, Bingyi Kang

Comput. Ind. Eng., 2020

Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy.

Ruonan Zhu, Jiaqi Chen, Bingyi Kang

IEEE Access, 2020

A New Synthesis Combination Rule Based on Evidential Correlation Coefficient.

Pengdan Zhang, Ye Tian, Bingyi Kang

IEEE Access, 2020

A Modified Approach to Conflict Management From the Perspective of Non-Conflicting Element Set.

Xiangjun Mi, Bingyi Kang

IEEE Access, 2020

Improving Generalization in Reinforcement Learning with Mixture Regularization.

Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Decoupling Representation and Classifier for Long-Tailed Recognition.

Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis

Proceedings of the 8th International Conference on Learning Representations, 2020

The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

Proceedings of the Computer Vision - ECCV 2020, 2020

Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax.

Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

A Method of Measuring Uncertainty for Z-Number.

Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq

IEEE Trans. Fuzzy Syst., 2019

Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory.

Qing Liu, Ye Tian, Bingyi Kang

Eng. Appl. Artif. Intell., 2019

Classification Calibration for Long-tail Instance Segmentation.

Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng

CoRR, 2019

Regularization Matters in Policy Optimization.

Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell

CoRR, 2019

Transferable Recognition-Aware Image Processing.

Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell

CoRR, 2019

The Maximum Deng Entropy.

Bingyi Kang, Yong Deng

IEEE Access, 2019

An Improved Deng Entropy and Its Application in Pattern Recognition.

Huizi Cui, Qing Liu, Jianfeng Zhang, Bingyi Kang

IEEE Access, 2019

Construction of Stable Hierarchy Organization from the Perspective of the Maximum Deng Entropy.

Bingyi Kang

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Few-Shot Object Detection via Feature Reweighting.

Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Generating Z-number based on OWA weights using maximum entropy.

Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq

Int. J. Intell. Syst., 2018

Similarity R-C3D for Few-shot Temporal Activity Detection.

Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell

CoRR, 2018

Total utility of Z-number.

Bingyi Kang, Yong Deng, Rehan Sadiq

Appl. Intell., 2018

Stable strategies analysis based on the utility of Z-number in the evolutionary games.

Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Kasun Hewage, Rehan Sadiq

Appl. Math. Comput., 2018

Transferable Meta Learning Across Domains.

Bingyi Kang, Jiashi Feng

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropy.

Bingyi Kang, Yong Deng

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2018

Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks.

Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Policy Optimization with Demonstrations.

Bingyi Kang, Zequn Jie, Jiashi Feng

Proceedings of the 35th International Conference on Machine Learning, 2018

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.

Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks.

Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan

CoRR, 2017

2016

Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory.

Kaijuan Yuan, Fuyuan Xiao, Liguo Fei, Bingyi Kang, Yong Deng

Sensors, 2016

Generalized fuzzy cognitive maps: a new extension of fuzzy cognitive maps.

Bingyi Kang, Hongming Mo, Rehan Sadiq, Yong Deng

Int. J. Syst. Assur. Eng. Manag., 2016

Ensemble Robustness of Deep Learning Algorithms.

Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor

CoRR, 2016

2012

Evidential cognitive maps.

Bingyi Kang, Yong Deng, Rehan Sadiq, Sankaran Mahadevan

Knowl. Based Syst., 2012