Bingyi Kang

133 papers A* 26A 1Journal 102Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
VideoWorld 2: Learning Transferable Knowledge from Real-world Videos.
CoRR
Zhongwei Ren, Yunchao Wei, Xiao Yu, Guixun Luo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin
2025 J jnl
A novel BWM-based conflict management method for interval-valued belief structure.
Inf. Sci.
Tao Yu, Yaxian Tang, Huizi Cui, Bingyi Kang
2025 J jnl
A transformation-based Z-number distance measure using belief functions and ERP method.
Inf. Sci.
Yunjia Zhang, Yaxian Tang, Yongzhuo Xu, Huimin Zhang, Bingyi Kang
2025 J jnl
BenchDepth: Are We on the Right Way to Evaluate Depth Foundation Models?
CoRR
Zhenyu Li, Haotong Lin, Jiashi Feng, Peter Wonka, Bingyi Kang
2025 J jnl
Decoupled Prioritized Resampling for Offline RL.
IEEE Trans. Neural Networks Learn. Syst.
Yang Yue, Bingyi Kang, Xiao Ma, Qisen Yang, Gao Huang, Shiji Song, Shuicheng Yan
2025 J jnl
Depth Anything 3: Recovering the Visual Space from Any Views.
CoRR
Haotong Lin, Sili Chen, Junhao Liew, Donny Y. Chen, Zhenyu Li, Guang Shi, Jiashi Feng, Bingyi Kang
2025 A* conf
How Far Is Video Generation from World Model: A Physical Law Perspective.
ICML
Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2025 J jnl
Influence factor-based transformation method for translating mass function to probability in Dempster-Shafer evidence theory.
Eng. Appl. Artif. Intell.
Haocheng Shao, Lipeng Pan, Jiahui Chen, Xiaozhuan Gao, Bingyi Kang
2025 J jnl
M
CoRR
Lior Cohen, Kaixin Wang, Bingyi Kang, Uri Gadot, Shie Mannor
2025 J jnl
Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots.
CoRR
Minghuan Liu, Zhengbang Zhu, Xiaoshen Han, Peng Hu, Haotong Lin, Xinyao Li, Jingxiao Chen, Jiafeng Xu, Yichu Yang, Yunfeng Lin, Xinghang Li, Yong Yu, Weinan Zhang, Tao Kong, Bingyi Kang
2025 A* conf
Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation.
CVPR
Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang
2025 J jnl
SpatialTrackerV2: 3D Point Tracking Made Easy.
CoRR
Yuxi Xiao, Jianyuan Wang, Nan Xue, Nikita Karaev, Yuri Makarov, Bingyi Kang, Xing Zhu, Hujun Bao, Yujun Shen, Xiaowei Zhou
2025 J jnl
SpatialTree: How Spatial Abilities Branch Out in MLLMs.
CoRR
Yuxi Xiao, Longfei Li, Shen Yan, Xinhang Liu, Sida Peng, Yunchao Wei, Xiaowei Zhou, Bingyi Kang
2025 J jnl
Trace Anything: Representing Any Video in 4D via Trajectory Fields.
CoRR
Xinhang Liu, Yuxi Xiao, Donny Y. Chen, Jiashi Feng, Yu-Wing Tai, Chi-Keung Tang, Bingyi Kang
2025 A* conf
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.
CVPR
Sili Chen, Hengkai Guo, Shengnan Zhu, Feihu Zhang, Zilong Huang, Jiashi Feng, Bingyi Kang
2025 J jnl
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.
CoRR
Sili Chen, Hengkai Guo, Shengnan Zhu, Feihu Zhang, Zilong Huang, Jiashi Feng, Bingyi Kang
2025 A* conf
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos.
CVPR
Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin
2025 J jnl
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos.
CoRR
Zhongwei Ren, Yunchao Wei, Xun Guo, Yao Zhao, Bingyi Kang, Jiashi Feng, Xiaojie Jin
2024 J jnl
A new approximate belief mutual information derived from the developed fuzzy mutual information considering belief negation.
Appl. Soft Comput.
Xuan Zhao, Yaxian Tang, Bingyi Kang
2024 J jnl
A novel belief Rényi divergence based on belief and plausibility function and its applications in multi-source data fusion.
Eng. Appl. Artif. Intell.
Xiaofei Jin, Yuhang Chang, Huimin Zhang, Bingyi Kang, Jianfeng Zhang
2024 A* conf
Classification Done Right for Vision-Language Pre-Training.
NeurIPS
Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan
2024 J jnl
Classification Done Right for Vision-Language Pre-Training.
CoRR
Zilong Huang, Qinghao Ye, Bingyi Kang, Jiashi Feng, Haoqi Fan
2024 J jnl
Deceptive evidence detection in information fusion of belief functions based on reinforcement learning.
Inf. Fusion
Bingyi Kang, Chunjiang Zhao
2024 J jnl
Deceptive evidence detection of belief functions based on reinforcement learning in partial label environment.
Knowl. Based Syst.
Yuhang Chang, Junhao Pan, Xuan Zhao, Bingyi Kang
2024 A* conf
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.
NeurIPS
Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang
2024 J jnl
DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution.
CoRR
Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang
2024 A* conf
Depth Anything V2.
NeurIPS
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
2024 J jnl
Depth Anything V2.
CoRR
Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
2024 A* conf
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.
CVPR
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
2024 J jnl
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.
CoRR
Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao
2024 J jnl
Evaluate the competence of fuzzy preference using statistical conflict in the frame of DS evidence theory.
Appl. Soft Comput.
Huimin Zhang, Yuhang Chang, Yunjia Zhang, Bingyi Kang
2024 J jnl
Evaluating the reliability and relative weight of the evidence using approximate evidential mutual information.
Eng. Appl. Artif. Intell.
Xuan Zhao, Mengyi Zhang, Zilong Xiao, Bingyi Kang
2024 J jnl
How Far is Video Generation from World Model: A Physical Law Perspective.
CoRR
Bingyi Kang, Yang Yue, Rui Lu, Zhijie Lin, Yang Zhao, Kaixin Wang, Gao Huang, Jiashi Feng
2024 A* conf
Image Understanding Makes for A Good Tokenizer for Image Generation.
NeurIPS
Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu, Bingyi Kang
2024 J jnl
Image Understanding Makes for A Good Tokenizer for Image Generation.
CoRR
Luting Wang, Yang Zhao, Zijian Zhang, Jiashi Feng, Si Liu, Bingyi Kang
2024 A* conf
Improving Token-Based World Models with Parallel Observation Prediction.
ICML
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024 J jnl
Improving Token-Based World Models with Parallel Observation Prediction.
CoRR
Lior Cohen, Kaixin Wang, Bingyi Kang, Shie Mannor
2024 J jnl
Loong: Generating Minute-level Long Videos with Autoregressive Language Models.
CoRR
Yuqing Wang, Tianwei Xiong, Daquan Zhou, Zhijie Lin, Yang Zhao, Bingyi Kang, Jiashi Feng, Xihui Liu
2024 A* conf
MADiff: Offline Multi-agent Learning with Diffusion Models.
NeurIPS
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
2024 J jnl
Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation.
CoRR
Haotong Lin, Sida Peng, Jingxiao Chen, Songyou Peng, Jiaming Sun, Minghuan Liu, Hujun Bao, Jiashi Feng, Xiaowei Zhou, Bingyi Kang
2024 J jnl
Towards Generalist Robot Policies: What Matters in Building Vision-Language-Action Models.
CoRR
Xinghang Li, Peiyan Li, Minghuan Liu, Dong Wang, Jirong Liu, Bingyi Kang, Xiao Ma, Tao Kong, Hanbo Zhang, Huaping Liu
2023 J jnl
A multi-criteria group decision-making method based on OWA aggregation operator and Z-numbers.
Soft Comput.
Ruolan Cheng, Ruonan Zhu, Ye Tian, Bingyi Kang, Jianfeng Zhang
2023 J jnl
BGC: Belief gravitational clustering approach and its application in the counter-deception of belief functions.
Eng. Appl. Artif. Intell.
Huizi Cui, Huaqing Zhang, Yuhang Chang, Bingyi Kang
2023 A* conf
Bag of Tricks for Training Data Extraction from Language Models.
ICML
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
2023 J jnl
Bag of Tricks for Training Data Extraction from Language Models.
CoRR
Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan
2023 J jnl
BuboGPT: Enabling Visual Grounding in Multi-Modal LLMs.
CoRR
Yang Zhao, Zhijie Lin, Daquan Zhou, Zilong Huang, Jiashi Feng, Bingyi Kang
2023 J jnl
Deep Long-Tailed Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
2023 J jnl
Determine the number of unknown targets in the open world from the perspective of bidirectional analysis using Gap statistic and Isolation forest.
Inf. Sci.
Huizi Cui, Yuhang Chang, Huaqing Zhang, Xiangjun Mi, Bingyi Kang
2023 A* conf
Efficient Diffusion Policies For Offline Reinforcement Learning.
NeurIPS
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
2023 J jnl
Efficient Diffusion Policies for Offline Reinforcement Learning.
CoRR
Bingyi Kang, Xiao Ma, Chao Du, Tianyu Pang, Shuicheng Yan
2023 J jnl
Evaluate the reliability of information sources using the non-parametric plausibility ReliefF algorithm for multi-source information fusion.
Appl. Soft Comput.
Mengyi Zhang, Huizi Cui, Xu Tian, Bingyi Kang, Lvwen Huang
2023 J jnl
Exploring Simple and Transferable Recognition-Aware Image Processing.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell
2023 A* conf
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models.
NeurIPS
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao
2023 J jnl
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models.
CoRR
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao
2023 J jnl
Harnessing Diffusion Models for Visual Perception with Meta Prompts.
CoRR
Qiang Wan, Zilong Huang, Bingyi Kang, Jiashi Feng, Li Zhang
2023 J jnl
Improving and Benchmarking Offline Reinforcement Learning Algorithms.
CoRR
Bingyi Kang, Xiao Ma, Yirui Wang, Yang Yue, Shuicheng Yan
2023 J jnl
MADiff: Offline Multi-agent Learning with Diffusion Models.
CoRR
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
2023 A* conf
Mutual Information Regularized Offline Reinforcement Learning.
NeurIPS
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
2023 J jnl
Offline Prioritized Experience Replay.
CoRR
Yang Yue, Bingyi Kang, Xiao Ma, Gao Huang, Shiji Song, Shuicheng Yan
2023 A* conf
Revisiting Intrinsic Reward for Exploration in Procedurally Generated Environments.
ICLR
Kaixin Wang, Kuangqi Zhou, Bingyi Kang, Jiashi Feng, Shuicheng Yan
2023 J jnl
The aggregation of
Inf. Sci.
Gongao Qi, Juanrui Li, Bingyi Kang, Bin Yang
2023 A* conf
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.
NeurIPS
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
2023 J jnl
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL.
CoRR
Yang Yue, Rui Lu, Bingyi Kang, Shiji Song, Gao Huang
2023 A* conf
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.
AAAI
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022 J jnl
A Novel Z-TOPSIS Method Based on Improved Distance Measure of Z-Numbers.
Int. J. Fuzzy Syst.
Ruolan Cheng, Jianfeng Zhang, Bingyi Kang
2022 J jnl
A generalized soft likelihood function in combining multi-source belief distribution functions.
Appl. Intell.
Pengdan Zhang, Ruonan Zhu, Jiaqi Chen, Bingyi Kang
2022 J jnl
A novel conflict management considering the optimal discounting weights using the BWM method in Dempster-Shafer evidence theory.
Inf. Sci.
Lingge Zhou, Huizi Cui, Xiangjun Mi, Jianfeng Zhang, Bingyi Kang
2022 J jnl
A novel method to rank fuzzy numbers using the developed golden rule representative value.
Appl. Intell.
Ruolan Cheng, Bingyi Kang, Jianfeng Zhang
2022 J jnl
An improved model in fusing multi-source information based on Z-numbers and POWA operator.
Comput. Appl. Math.
Ruonan Zhu, Yanan Li, Ruolan Cheng, Bingyi Kang
2022 J jnl
An intelligent quality-based fusion method for complex-valued distributions using POWA operator.
Eng. Appl. Artif. Intell.
Yanan Li, Ruonan Zhu, Xiangjun Mi, Bingyi Kang
2022 J jnl
Boosting Offline Reinforcement Learning via Data Rebalancing.
CoRR
Yang Yue, Bingyi Kang, Xiao Ma, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022 J jnl
Counter Deception in Belief Functions Using Shapley Value Methodology.
Int. J. Fuzzy Syst.
Lingge Zhou, Huizi Cui, Chongru Huang, Bingyi Kang, Jianfeng Zhang
2022 J jnl
Mutual Information Regularized Offline Reinforcement Learning.
CoRR
Xiao Ma, Bingyi Kang, Zhongwen Xu, Min Lin, Shuicheng Yan
2022 J jnl
Ranking of Z-Numbers Based on the Developed Golden Rule Representative Value.
IEEE Trans. Fuzzy Syst.
Ruolan Cheng, Jianfeng Zhang, Bingyi Kang
2022 J jnl
Value-Consistent Representation Learning for Data-Efficient Reinforcement Learning.
CoRR
Yang Yue, Bingyi Kang, Zhongwen Xu, Gao Huang, Shuicheng Yan
2022 J jnl
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.
Ruonan Zhu, Qing Liu, Chongru Huang, Bingyi Kang
2021 J jnl
A hybrid multi-criteria decision making approach for assessing health-care waste management technologies based on soft likelihood function and D-numbers.
Appl. Intell.
Xiangjun Mi, Ye Tian, Bingyi Kang
2021 J jnl
An improved OWA-Fuzzy AHP decision model for multi-attribute decision making problem.
J. Intell. Fuzzy Syst.
Pengdan Zhang, Qing Liu, Bingyi Kang
2021 J jnl
Basic probability assignment to probability distribution function based on the Shapley value approach.
Int. J. Intell. Syst.
Chongru Huang, Xiangjun Mi, Bingyi Kang
2021 J jnl
Deep Long-Tailed Learning: A Survey.
CoRR
Yifan Zhang, Bingyi Kang, Bryan Hooi, Shuicheng Yan, Jiashi Feng
2021 J jnl
DeepViT: Towards Deeper Vision Transformer.
CoRR
Daquan Zhou, Bingyi Kang, Xiaojie Jin, Linjie Yang, Xiaochen Lian, Qibin Hou, Jiashi Feng
2021 A* conf
Exploring Balanced Feature Spaces for Representation Learning.
ICLR
Bingyi Kang, Yu Li, Sa Xie, Zehuan Yuan, Jiashi Feng
2021 J jnl
MADA problem: A new scheme based on D numbers and aggregation functions.
J. Intell. Fuzzy Syst.
Xiangjun Mi, Ye Tian, Bingyi Kang
2021 J jnl
Refiner: Refining Self-attention for Vision Transformers.
CoRR
Daquan Zhou, Yujun Shi, Bingyi Kang, Weihao Yu, Zihang Jiang, Li Yuan, Xiaojie Jin, Qibin Hou, Jiashi Feng
2021 A* conf
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control.
ICLR
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell
2021 J jnl
Strategies of attack-defense game for wireless sensor networks considering the effect of confidence level in fuzzy environment.
Eng. Appl. Artif. Intell.
Yingfu Wu, Bingyi Kang, Hao Wu
2021 J jnl
Using Z-number to measure the reliability of new information fusion method and its application in pattern recognition.
Appl. Soft Comput.
Ye Tian, Xiangjun Mi, Huizi Cui, Pengdan Zhang, Bingyi Kang
2021 J jnl
ZE-numbers: A new extended Z-numbers and its application on multiple attribute group decision making.
Eng. Appl. Artif. Intell.
Ye Tian, Xiangjun Mi, Yunpeng Ji, Bingyi Kang
2021 J jnl
ZSLF: A New Soft Likelihood Function Based on Z-Numbers and Its Application in Expert Decision System.
IEEE Trans. Fuzzy Syst.
Ye Tian, Lili Liu, Xiangjun Mi, Bingyi Kang
2020 J jnl
A Modified Approach to Conflict Management From the Perspective of Non-Conflicting Element Set.
IEEE Access
Xiangjun Mi, Bingyi Kang
2020 J jnl
A New Soft Likelihood Function Based on D Numbers in Handling Uncertain Information.
Int. J. Fuzzy Syst.
Ye Tian, Xiangjun Mi, Lili Liu, Bingyi Kang
2020 J jnl
A New Synthesis Combination Rule Based on Evidential Correlation Coefficient.
IEEE Access
Pengdan Zhang, Ye Tian, Bingyi Kang
2020 J jnl
A modified method of generating Z-number based on OWA weights and maximum entropy.
Soft Comput.
Ye Tian, Bingyi Kang
2020 J jnl
A modified soft-likelihood function based on POWA operator.
Int. J. Intell. Syst.
Xiangjun Mi, Ye Tian, Bingyi Kang
2020 A* conf
Decoupling Representation and Classifier for Long-Tailed Recognition.
ICLR
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
2020 J jnl
Environmental assessment under uncertainty using Dempster-Shafer theory and Z-numbers.
J. Ambient Intell. Humaniz. Comput.
Bingyi Kang, Pengdan Zhang, Zhenyu Gao, Gyan Chhipi-Shrestha, Kasun Hewage, Rehan Sadiq
2020 J jnl
Extension of Yager's negation of a probability distribution based on Tsallis entropy.
Int. J. Intell. Syst.
Jing Zhang, Ruqin Liu, Jianfeng Zhang, Bingyi Kang
2020 J jnl
Few-shot Classification via Adaptive Attention.
CoRR
Zihang Jiang, Bingyi Kang, Kuangqi Zhou, Jiashi Feng
2020 A* conf
Improving Generalization in Reinforcement Learning with Mixture Regularization.
NeurIPS
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
2020 J jnl
Improving Generalization in Reinforcement Learning with Mixture Regularization.
CoRR
Kaixin Wang, Bingyi Kang, Jie Shao, Jiashi Feng
2020 J jnl
On the Negation of discrete Z-numbers.
Inf. Sci.
Qing Liu, Huizi Cui, Ye Tian, Bingyi Kang
2020 J jnl
On the belief universal gravitation (BUG).
Comput. Ind. Eng.
Xiangjun Mi, Bingyi Kang
2020 J jnl
Online Meta Adaptation for Fast Video Object Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng
2020 A* conf
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax.
CVPR
Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng
2020 J jnl
Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.
CoRR
Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, Jiashi Feng
2020 J jnl
Power Law and Dimension of the Maximum Value for Belief Distribution With the Maximum Deng Entropy.
IEEE Access
Ruonan Zhu, Jiaqi Chen, Bingyi Kang
2020 — conf
The Devil Is in Classification: A Simple Framework for Long-Tail Instance Segmentation.
ECCV (14)
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2020 J jnl
The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation.
CoRR
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2019 J jnl
A Method of Measuring Uncertainty for Z-Number.
IEEE Trans. Fuzzy Syst.
Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq
2019 J jnl
An Improved Deng Entropy and Its Application in Pattern Recognition.
IEEE Access
Huizi Cui, Qing Liu, Jianfeng Zhang, Bingyi Kang
2019 J jnl
Classification Calibration for Long-tail Instance Segmentation.
CoRR
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Jun Hao Liew, Sheng Tang, Steven C. H. Hoi, Jiashi Feng
2019 — conf
Construction of Stable Hierarchy Organization from the Perspective of the Maximum Deng Entropy.
IUKM
Bingyi Kang
2019 J jnl
Decoupling Representation and Classifier for Long-Tailed Recognition.
CoRR
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, Yannis Kalantidis
2019 J jnl
Derive knowledge of Z-number from the perspective of Dempster-Shafer evidence theory.
Eng. Appl. Artif. Intell.
Qing Liu, Ye Tian, Bingyi Kang
2019 A* conf
Few-Shot Object Detection via Feature Reweighting.
ICCV
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
2019 J jnl
Regularization Matters in Policy Optimization.
CoRR
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell
2019 J jnl
The Maximum Deng Entropy.
IEEE Access
Bingyi Kang, Yong Deng
2019 J jnl
Transferable Recognition-Aware Image Processing.
CoRR
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell
2018 — conf
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.
ICLR (Workshop)
Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor
2018 — conf
Estimation of Interval Probability Distribution in Categorical Data Using Maximum Entropy.
IUKM
Bingyi Kang, Yong Deng
2018 J jnl
Few-shot Object Detection via Feature Reweighting.
CoRR
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
2018 J jnl
Generating Z-number based on OWA weights using maximum entropy.
Int. J. Intell. Syst.
Bingyi Kang, Yong Deng, Kasun Hewage, Rehan Sadiq
2018 A* conf
Policy Optimization with Demonstrations.
ICML
Bingyi Kang, Zequn Jie, Jiashi Feng
2018 A* conf
Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks.
IJCAI
Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
2018 J jnl
Similarity R-C3D for Few-shot Temporal Activity Detection.
CoRR
Huijuan Xu, Bingyi Kang, Ximeng Sun, Jiashi Feng, Kate Saenko, Trevor Darrell
2018 J jnl
Stable strategies analysis based on the utility of Z-number in the evolutionary games.
Appl. Math. Comput.
Bingyi Kang, Gyan Chhipi-Shrestha, Yong Deng, Kasun Hewage, Rehan Sadiq
2018 J jnl
Total utility of Z-number.
Appl. Intell.
Bingyi Kang, Yong Deng, Rehan Sadiq
2018 A conf
Transferable Meta Learning Across Domains.
UAI
Bingyi Kang, Jiashi Feng
2017 J jnl
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks.
CoRR
Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan
2016 J jnl
Ensemble Robustness of Deep Learning Algorithms.
CoRR
Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor
2016 J jnl
Generalized fuzzy cognitive maps: a new extension of fuzzy cognitive maps.
Int. J. Syst. Assur. Eng. Manag.
Bingyi Kang, Hongming Mo, Rehan Sadiq, Yong Deng
2016 J jnl
Modeling Sensor Reliability in Fault Diagnosis Based on Evidence Theory.
Sensors
Kaijuan Yuan, Fuyuan Xiao, Liguo Fei, Bingyi Kang, Yong Deng
2012 J jnl
Evidential cognitive maps.
Knowl. Based Syst.
Bingyi Kang, Yong Deng, Rehan Sadiq, Sankaran Mahadevan