Bingyi Kang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 99

Top Venues

CoRR

Eng. Appl. Artif. Intell.

Inf. Sci.

IEEE Access

Publications

Xuan Zhao, Yaxian Tang, Bingyi Kang
A new approximate belief mutual information derived from the developed fuzzy mutual information considering belief negation. Appl. Soft Comput. 164 (2024)
Bingyi Kang, Chunjiang Zhao
Deceptive evidence detection in information fusion of belief functions based on reinforcement learning. Inf. Fusion 103 (2024)
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
Improving Token-Based World Models with Parallel Observation Prediction. CoRR (2024)
Huimin Zhang, Yuhang Chang, Yunjia Zhang, Bingyi Kang
Evaluate the competence of fuzzy preference using statistical conflict in the frame of DS evidence theory. Appl. Soft Comput. 164 (2024)
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CoRR (2024)
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
Depth Anything V2. CoRR (2024)
Xuan Zhao, Mengyi Zhang, Zilong Xiao, Bingyi Kang
Evaluating the reliability and relative weight of the evidence using approximate evidential mutual information. Eng. Appl. Artif. Intell. 133 (2024)
Xiaofei Jin, Yuhang Chang, Huimin Zhang, Bingyi Kang, Jianfeng Zhang
A novel belief Rényi divergence based on belief and plausibility function and its applications in multi-source data fusion. Eng. Appl. Artif. Intell. 133 (2024)
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI (2023)
Huizi Cui, Yuhang Chang, Huaqing Zhang, Xiangjun Mi, Bingyi Kang
Determine the number of unknown targets in the open world from the perspective of bidirectional analysis using Gap statistic and Isolation forest. Inf. Sci. 623 (2023)
Gongao Qi, Juanrui Li, Bingyi Kang, Bin Yang
-numbers based on overlap functions and grouping functions and its application on group decision-making. Inf. Sci. 623 (2023)
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
Bag of Tricks for Training Data Extraction from Language Models. CoRR (2023)
Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan
Offline Prioritized Experience Replay. CoRR (2023)
Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan
Improving and Benchmarking Offline Reinforcement Learning Algorithms. CoRR (2023)
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS (2023)
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR (2023)
Qiang Wan, Zilong Huang, Bingyi Kang, Jiashi Feng, Li Zhang
Harnessing Diffusion Models for Visual Perception with Meta Prompts. CoRR (2023)
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS (2023)
Ruolan Cheng, Ruonan Zhu, Ye Tian, Bingyi Kang, Jianfeng Zhang
A multi-criteria group decision-making method based on OWA aggregation operator and Z-numbers. Soft Comput. 27 (3) (2023)
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
Bag of Tricks for Training Data Extraction from Language Models. ICML (2023)
Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell
Exploring Simple and Transferable Recognition-Aware Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. CoRR (2023)
Huizi Cui, Huaqing Zhang, Yuhang Chang, Bingyi Kang
BGC: Belief gravitational clustering approach and its application in the counter-deception of belief functions. Eng. Appl. Artif. Intell. 123 (Part A) (2023)
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
Mutual Information Regularized Offline Reinforcement Learning. NeurIPS (2023)
Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR (2023)
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR (2023)
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. NeurIPS (2023)
Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Mengyi Zhang, Huizi Cui, Xu Tian, Bingyi Kang, Lvwen Huang
Evaluate the reliability of information sources using the non-parametric plausibility ReliefF algorithm for multi-source information fusion. Appl. Soft Comput. 148 (2023)
Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR (2023)
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. CoRR (2023)
Ruolan Cheng, Bingyi Kang, Jianfeng Zhang
A novel method to rank fuzzy numbers using the developed golden rule representative value. Appl. Intell. 52 (9) (2022)
Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR (2022)
Ruonan Zhu, Yanan Li, Ruolan Cheng, Bingyi Kang
An improved model in fusing multi-source information based on Z-numbers and POWA operator. Comput. Appl. Math. 41 (1) (2022)
Ruonan Zhu, Qing Liu, Chongru Huang, Bingyi Kang
Z-ACM: An approximate calculation method of Z-numbers for large data sets based on kernel density estimation and its application in decision-making. Inf. Sci. 610 (2022)
Ruolan Cheng, Jianfeng Zhang, Bingyi Kang
A Novel Z-TOPSIS Method Based on Improved Distance Measure of Z-Numbers. Int. J. Fuzzy Syst. 24 (6) (2022)
Lingge Zhou, Huizi Cui, Chongru Huang, Bingyi Kang, Jianfeng Zhang
Counter Deception in Belief Functions Using Shapley Value Methodology. Int. J. Fuzzy Syst. 24 (1) (2022)
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
Mutual Information Regularized Offline Reinforcement Learning. CoRR (2022)
Pengdan Zhang, Ruonan Zhu, Jiaqi Chen, Bingyi Kang
A generalized soft likelihood function in combining multi-source belief distribution functions. Appl. Intell. 52 (4) (2022)
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. CoRR (2022)
Lingge Zhou, Huizi Cui, Xiangjun Mi, Jianfeng Zhang, Bingyi Kang
A novel conflict management considering the optimal discounting weights using the BWM method in Dempster-Shafer evidence theory. Inf. Sci. 612 (2022)
Ruolan Cheng, Jianfeng Zhang, Bingyi Kang
Ranking of Z-Numbers Based on the Developed Golden Rule Representative Value. IEEE Trans. Fuzzy Syst. 30 (12) (2022)
Yanan Li, Ruonan Zhu, Xiangjun Mi, Bingyi Kang
An intelligent quality-based fusion method for complex-valued distributions using POWA operator. Eng. Appl. Artif. Intell. 109 (2022)
Yingfu Wu, Bingyi Kang, Hao Wu
Strategies of attack-defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment. Eng. Appl. Artif. Intell. 102 (2021)
Chongru Huang, Xiangjun Mi, Bingyi Kang
Basic probability assignment to probability distribution function based on the Shapley value approach. Int. J. Intell. Syst. 36 (8) (2021)
Pengdan Zhang, Qing Liu, Bingyi Kang
An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem. J. Intell. Fuzzy Syst. 40 (5) (2021)
Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng
Exploring Balanced Feature Spaces for Representation Learning. ICLR (2021)
Ye Tian, Xiangjun Mi, Huizi Cui, Pengdan Zhang, Bingyi Kang
Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition. Appl. Soft Comput. 111 (2021)
Ye Tian, Lili Liu, Xiangjun Mi, Bingyi Kang
ZSLF: A New Soft Likelihood Function Based on Z-Numbers and Its Application in Expert Decision System. IEEE Trans. Fuzzy Syst. 29 (8) (2021)
Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Yuan Li, Xiaojie Jin, Qibin Hou, Jiashi Feng
Refiner: Refining Self-attention for Vision Transformers. CoRR (2021)
Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng
DeepViT: Towards Deeper Vision Transformer. CoRR (2021)
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. ICLR (2021)
Xiangjun Mi, Ye Tian, Bingyi Kang
A hybrid multi-criteria decision making approach for assessing health-care waste management technologies based on soft likelihood function and D-numbers. Appl. Intell. 51 (10) (2021)
Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
Deep Long-Tailed Learning: A Survey. CoRR (2021)
Ye Tian, Xiangjun Mi, Yunpeng Ji, Bingyi Kang
ZE-numbers: A new extended Z-numbers and its application on multiple attribute group decision making. Eng. Appl. Artif. Intell. 101 (2021)
Xiangjun Mi, Ye Tian, Bingyi Kang
MADA problem: A new scheme based on D numbers and aggregation functions. J. Intell. Fuzzy Syst. 40 (6) (2021)
Qing Liu, Huizi Cui, Ye Tian, Bingyi Kang
On the Negation of discrete Z-numbers. Inf. Sci. 537 (2020)
Ye Tian, Xiangjun Mi, Lili Liu, Bingyi Kang
A New Soft Likelihood Function Based on D Numbers in Handling Uncertain Information. Int. J. Fuzzy Syst. 22 (7) (2020)
Xiangjun Mi, Bingyi Kang
A Modified Approach to Conflict Management From the Perspective of Non-Conflicting Element Set. IEEE Access 8 (2020)
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS (2020)
Bingyi Kang, Pengdan Zhang, Zhenyu Gao, Gyan Chhipi-Shrestha, Kasun Hewage, Rehan Sadiq
Environmental assessment under uncertainty using Dempster-Shafer theory and Z-numbers. J. Ambient Intell. Humaniz. Comput. 11 (5) (2020)
Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng
Few-shot Classification via Adaptive Attention. CoRR (2020)
Ruonan Zhu, Jiaqi Chen, Bingyi Kang
Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy. IEEE Access 8 (2020)
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR (2020)
Ye Tian, Bingyi Kang
A modified method of generating Z-number based on OWA weights and maximum entropy. Soft Comput. 24 (20) (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. CoRR (2020)
Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax. CoRR (2020)
Pengdan Zhang, Ye Tian, Bingyi Kang
A New Synthesis Combination Rule Based on Evidential Correlation Coefficient. IEEE Access 8 (2020)
Jing Zhang, Ruqin Liu, Jianfeng Zhang, Bingyi Kang
Extension of Yager's negation of a probability distribution based on Tsallis entropy. Int. J. Intell. Syst. 35 (1) (2020)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR (2020)
Xiangjun Mi, Bingyi Kang
On the belief universal gravitation (BUG). Comput. Ind. Eng. 148 (2020)
Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. CVPR (2020)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation. ECCV (14) (2020)
Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng
Online Meta Adaptation for Fast Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 42 (5) (2020)
Xiangjun Mi, Ye Tian, Bingyi Kang
A modified soft-likelihood function based on POWA operator. Int. J. Intell. Syst. 35 (5) (2020)
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell
Regularization Matters in Policy Optimization. CoRR (2019)
Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq
A Method of Measuring Uncertainty for Z-Number. IEEE Trans. Fuzzy Syst. 27 (4) (2019)
Bingyi Kang
Construction of Stable Hierarchy Organization from the Perspective of the Maximum Deng Entropy. IUKM (2019)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
Classification Calibration for Long-tail Instance Segmentation. CoRR (2019)
Bingyi Kang, Yong Deng
The Maximum Deng Entropy. IEEE Access 7 (2019)
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
Few-Shot Object Detection via Feature Reweighting. ICCV (2019)
Qing Liu, Ye Tian, Bingyi Kang
Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory. Eng. Appl. Artif. Intell. 85 (2019)
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell
Transferable Recognition-Aware Image Processing. CoRR (2019)
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR (2019)
Huizi Cui, Qing Liu, Jianfeng Zhang, Bingyi Kang
An Improved Deng Entropy and Its Application in Pattern Recognition. IEEE Access 7 (2019)
Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq
Generating Z-number based on OWA weights using maximum entropy. Int. J. Intell. Syst. 33 (8) (2018)
Bingyi Kang, Yong Deng
Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropy. IUKM (2018)
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
Few-shot Object Detection via Feature Reweighting. CoRR (2018)
Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Kasun Hewage, Rehan Sadiq
Stable strategies analysis based on the utility of Z-number in the evolutionary games. Appl. Math. Comput. 324 (2018)
Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. IJCAI (2018)
Bingyi Kang, Zequn Jie, Jiashi Feng
Policy Optimization with Demonstrations. ICML (2018)
Bingyi Kang, Jiashi Feng
Transferable Meta Learning Across Domains. UAI (2018)
Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell
Similarity R-C3D for Few-shot Temporal Activity Detection. CoRR (2018)
Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) (2018)
Bingyi Kang, Yong Deng, Rehan Sadiq
Total utility of Z-number. Appl. Intell. 48 (3) (2018)
Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks. CoRR (2017)
Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor
Ensemble Robustness of Deep Learning Algorithms. CoRR (2016)
Bingyi Kang, Hongming Mo, Rehan Sadiq, Yong Deng
Generalized fuzzy cognitive maps: a new extension of fuzzy cognitive maps. Int. J. Syst. Assur. Eng. Manag. 7 (2) (2016)
Kaijuan Yuan, Fuyuan Xiao, Liguo Fei, Bingyi Kang, Yong Deng
Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory. Sensors 16 (1) (2016)
Bingyi Kang, Yong Deng, Rehan Sadiq, Sankaran Mahadevan
Evidential cognitive maps. Knowl. Based Syst. 35 (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Bingyi Kang