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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
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
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
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
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
Exploring Simple and Transferable Recognition-Aware Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3032-3046 (2023) - [j40]Yifan Zhang
Deep Long-Tailed Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10795-10816 (2023) - [j39]Ruolan Cheng
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
A generalized soft likelihood function in combining multi-source belief distribution functions. Appl. Intell. 52(4): 3748-3765 (2022) - [j37]Ruolan Cheng
A novel method to rank fuzzy numbers using the developed golden rule representative value. Appl. Intell. 52(9): 9751-9767 (2022) - [j36]Ruonan Zhu
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
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
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
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
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
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
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
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
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
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
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
A Method of Measuring Uncertainty for Z-Number. IEEE Trans. Fuzzy Syst. 27(4): 731-738 (2019) - 2018
- [j6]Bingyi Kang
Stable strategies analysis based on the utility of Z-number in the evolutionary games. Appl. Math. Comput. 324: 202-217 (2018) - [j5]Bingyi Kang
Total utility of Z-number. Appl. Intell. 48(3): 703-729 (2018) - [j4]Bingyi Kang
Generating Z-number based on OWA weights using maximum entropy. Int. J. Intell. Syst. 33(8): 1745-1755 (2018) - 2016
- [j3]Bingyi Kang
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
Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory. Sensors 16(1): 113 (2016) - 2012
- [j1]Bingyi Kang
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
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
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax. CVPR 2020: 10988-10997 - [c10]Tao Wang
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
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks. IJCAI 2018: 635-641 - [c2]Bingyi Kang
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
- [i31]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) - [i30]Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor:
Improving Token-Based World Models with Parallel Observation Prediction. CoRR abs/2402.05643 (2024) - [i29]Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao:
Depth Anything V2. CoRR abs/2406.09414 (2024) - [i28]Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu:
Loong: Generating Minute-level Long Videos with Autoregressive Language Models. CoRR abs/2410.02757 (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
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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