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Journal Articles
- 2024
[j50]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: 112017 (2024)- [j49]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: 112027 (2024) - [j48]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: 108402 (2024) - [j47]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: 108409 (2024) - [j46]Bingyi Kang, Chunjiang Zhao:
Deceptive evidence detection in information fusion of belief functions based on reinforcement learning. Inf. Fusion 103: 102102 (2024) - 2023
- [j45]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: 110871 (2023) - [j44]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): 106235 (2023) - [j43]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: 832-856 (2023) - [j42]Gongao Qi, Juanrui Li, Bingyi Kang, Bin Yang:
The aggregation of Z-numbers based on overlap functions and grouping functions and its application on group decision-making. Inf. Sci. 623: 857-899 (2023) - [j41]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): 3032-3046 (2023) - [j40]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j39]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): 1439-1455 (2023) - 2022
- [j38]Pengdan Zhang, Ruonan Zhu, Jiaqi Chen, Bingyi Kang:
A generalized soft likelihood function in combining multi-source belief distribution functions. Appl. Intell. 52(4): 3748-3765 (2022) - [j37]Ruolan Cheng, Bingyi Kang, Jianfeng Zhang:
A novel method to rank fuzzy numbers using the developed golden rule representative value. Appl. Intell. 52(9): 9751-9767 (2022) - [j36]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) - [j35]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: 104618 (2022) - [j34]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): 340-354 (2022) - [j33]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): 2813-2830 (2022) - [j32]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: 440-471 (2022) - [j31]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: 536-552 (2022) - [j30]Ruolan Cheng, Jianfeng Zhang, Bingyi Kang:
Ranking of Z-Numbers Based on the Developed Golden Rule Representative Value. IEEE Trans. Fuzzy Syst. 30(12): 5196-5210 (2022) - 2021
- [j29]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): 6708-6727 (2021) - [j28]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: 107658 (2021) - [j27]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: 104225 (2021) - [j26]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: 104238 (2021) - [j25]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): 4210-4236 (2021) - [j24]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): 9655-9668 (2021) - [j23]Xiangjun Mi, Ye Tian, Bingyi Kang:
MADA problem: A new scheme based on D numbers and aggregation functions. J. Intell. Fuzzy Syst. 40(6): 11231-11255 (2021) - [j22]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): 2283-2295 (2021) - 2020
- [j21]Pengdan Zhang, Ye Tian, Bingyi Kang:
A New Synthesis Combination Rule Based on Evidential Correlation Coefficient. IEEE Access 8: 39898-39906 (2020) - [j20]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: 47713-47719 (2020) - [j19]Xiangjun Mi, Bingyi Kang:
A Modified Approach to Conflict Management From the Perspective of Non-Conflicting Element Set. IEEE Access 8: 73111-73126 (2020) - [j18]Xiangjun Mi, Bingyi Kang:
On the belief universal gravitation (BUG). Comput. Ind. Eng. 148: 106685 (2020) - [j17]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): 2333-2349 (2020) - [j16]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): 72-84 (2020) - [j15]Xiangjun Mi, Ye Tian, Bingyi Kang:
A modified soft-likelihood function based on POWA operator. Int. J. Intell. Syst. 35(5): 869-890 (2020) - [j14]Qing Liu, Huizi Cui, Ye Tian, Bingyi Kang:
On the Negation of discrete Z-numbers. Inf. Sci. 537: 18-29 (2020) - [j13]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): 2041-2060 (2020) - [j12]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): 1205-1217 (2020) - [j11]Ye Tian, Bingyi Kang:
A modified method of generating Z-number based on OWA weights and maximum entropy. Soft Comput. 24(20): 15841-15852 (2020) - 2019
- [j10]Huizi Cui, Qing Liu, Jianfeng Zhang, Bingyi Kang:
An Improved Deng Entropy and Its Application in Pattern Recognition. IEEE Access 7: 18284-18292 (2019) - [j9]Bingyi Kang, Yong Deng:
The Maximum Deng Entropy. IEEE Access 7: 120758-120765 (2019) - [j8]Qing Liu, Ye Tian, Bingyi Kang:
Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory. Eng. Appl. Artif. Intell. 85: 754-764 (2019) - [j7]Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq:
A Method of Measuring Uncertainty for Z-Number. IEEE Trans. Fuzzy Syst. 27(4): 731-738 (2019) - 2018
- [j6]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: 202-217 (2018) - [j5]Bingyi Kang, Yong Deng, Rehan Sadiq:
Total utility of Z-number. Appl. Intell. 48(3): 703-729 (2018) - [j4]Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq:
Generating Z-number based on OWA weights using maximum entropy. Int. J. Intell. Syst. 33(8): 1745-1755 (2018) - 2016
- [j3]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): 156-166 (2016) - [j2]Kaijuan Yuan, Fuyuan Xiao, Liguo Fei, Bingyi Kang, Yong Deng:
Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory. Sensors 16(1): 113 (2016) - 2012
- [j1]Bingyi Kang, Yong Deng, Rehan Sadiq, Sankaran Mahadevan:
Evidential cognitive maps. Knowl. Based Syst. 35: 77-86 (2012)
Conference and Workshop Papers
- 2024
- [c22]Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CVPR 2024: 10371-10381 - [c21]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. ICML 2024 - 2023
- [c20]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. AAAI 2023: 11069-11077 - [c19]Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments. ICLR 2023 - [c18]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: 40306-40320 - [c17]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. NeurIPS 2023 - [c16]Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan:
Efficient Diffusion Policies For Offline Reinforcement Learning. NeurIPS 2023 - [c15]Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao:
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. NeurIPS 2023 - [c14]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. NeurIPS 2023 - 2021
- [c13]Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. ICLR 2021 - [c12]Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng:
Exploring Balanced Feature Spaces for Representation Learning. ICLR 2021 - 2020
- [c11]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: 10988-10997 - [c10]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: 728-744 - [c9]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. ICLR 2020 - [c8]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. NeurIPS 2020 - 2019
- [c7]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-Shot Object Detection via Feature Reweighting. ICCV 2019: 8419-8428 - [c6]Bingyi Kang:
Construction of Stable Hierarchy Organization from the Perspective of the Maximum Deng Entropy. IUKM 2019: 421-431 - 2018
- [c5]Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor:
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. ICLR (Workshop) 2018 - [c4]Bingyi Kang, Zequn Jie, Jiashi Feng:
Policy Optimization with Demonstrations. ICML 2018: 2474-2483 - [c3]Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. IJCAI 2018: 635-641 - [c2]Bingyi Kang, Yong Deng:
Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropy. IUKM 2018: 39-47 - [c1]Bingyi Kang, Jiashi Feng:
Transferable Meta Learning Across Domains. UAI 2018: 177-187
Informal and Other Publications
- 2024
- [i30]Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. CoRR abs/2401.10891 (2024) - [i29]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. CoRR abs/2402.05643 (2024) - [i28]Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything V2. CoRR abs/2406.09414 (2024) - 2023
- [i27]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 abs/2302.04460 (2023) - [i26]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 abs/2305.17330 (2023) - [i25]Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan:
Efficient Diffusion Policies for Offline Reinforcement Learning. CoRR abs/2305.20081 (2023) - [i24]Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan:
Improving and Benchmarking Offline Reinforcement Learning Algorithms. CoRR abs/2306.00972 (2023) - [i23]Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan:
Offline Prioritized Experience Replay. CoRR abs/2306.05412 (2023) - [i22]Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang:
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs. CoRR abs/2307.08581 (2023) - [i21]Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang:
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL. CoRR abs/2310.04411 (2023) - [i20]Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao:
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. CoRR abs/2310.15160 (2023) - [i19]Qiang Wan, Zilong Huang, Bingyi Kang, Jiashi Feng, Li Zhang:
Harnessing Diffusion Models for Visual Perception with Meta Prompts. CoRR abs/2312.14733 (2023) - 2022
- [i18]Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning. CoRR abs/2206.12542 (2022) - [i17]Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan:
Mutual Information Regularized Offline Reinforcement Learning. CoRR abs/2210.07484 (2022) - [i16]Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan:
Boosting Offline Reinforcement Learning via Data Rebalancing. CoRR abs/2210.09241 (2022) - 2021
- [i15]Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng:
DeepViT: Towards Deeper Vision Transformer. CoRR abs/2103.11886 (2021) - [i14]Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng:
Refiner: Refining Self-attention for Vision Transformers. CoRR abs/2106.03714 (2021) - [i13]Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng:
Deep Long-Tailed Learning: A Survey. CoRR abs/2110.04596 (2021) - 2020
- [i12]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 abs/2006.10408 (2020) - [i11]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 abs/2007.11978 (2020) - [i10]Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng:
Few-shot Classification via Adaptive Attention. CoRR abs/2008.02465 (2020) - [i9]Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng:
Improving Generalization in Reinforcement Learning with Mixture Regularization. CoRR abs/2010.10814 (2020) - 2019
- [i8]Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell:
Transferable Recognition-Aware Image Processing. CoRR abs/1910.09185 (2019) - [i7]Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell:
Regularization Matters in Policy Optimization. CoRR abs/1910.09191 (2019) - [i6]Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis:
Decoupling Representation and Classifier for Long-Tailed Recognition. CoRR abs/1910.09217 (2019) - [i5]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 abs/1910.13081 (2019) - 2018
- [i4]Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell:
Few-shot Object Detection via Feature Reweighting. CoRR abs/1812.01866 (2018) - [i3]Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell:
Similarity R-C3D for Few-shot Temporal Activity Detection. CoRR abs/1812.10000 (2018) - 2017
- [i2]Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan:
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks. CoRR abs/1703.02180 (2017) - 2016
- [i1]Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor:
Ensemble Robustness of Deep Learning Algorithms. CoRR abs/1602.02389 (2016)
Coauthor Index
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