Search Results for author: Haiquan Zhao

Found 16 papers, 3 papers with code

Reflection-Bench: probing AI intelligence with reflection

1 code implementation21 Oct 2024 Lingyu Li, Yixu Wang, Haiquan Zhao, Shuqi Kong, Yan Teng, Chunbo Li, Yingchun Wang

The ability to adapt beliefs or behaviors in response to unexpected outcomes, reflection, is fundamental to intelligent systems' interaction with the world.

counterfactual Decision Making

Robust Square Root Unscented Kalman filter of graph signals

no code implementations11 Sep 2024 Jinhui Hu, Haiquan Zhao, Yi Peng

In addition, in order to enhance the numerical stability of the unscented Kalman filter, the algorithm combines the double square root decomposition method to update the covariance matrix in the graph frequency domain.

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models

3 code implementations21 Jun 2024 Haiquan Zhao, Lingyu Li, Shisong Chen, Shuqi Kong, Jiaan Wang, Kexin Huang, Tianle Gu, Yixu Wang, Wang Jian, Dandan Liang, Zhixu Li, Yan Teng, Yanghua Xiao, Yingchun Wang

Inspired by the awesome development of role-playing agents, we propose an ESC Evaluation framework (ESC-Eval), which uses a role-playing agent to interact with ESC models, followed by a manual evaluation of the interactive dialogues.

MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models

1 code implementation11 Jun 2024 Tianle Gu, Zeyang Zhou, Kexin Huang, Dandan Liang, Yixu Wang, Haiquan Zhao, Yuanqi Yao, Xingge Qiao, Keqing Wang, Yujiu Yang, Yan Teng, Yu Qiao, Yingchun Wang

In this paper, we present MLLMGuard, a multidimensional safety evaluation suite for MLLMs, including a bilingual image-text evaluation dataset, inference utilities, and a lightweight evaluator.

An Improved Robust Total Logistic Distance Metric algorithm for Generalized Gaussian Noise and Noisy Input

no code implementations21 May 2024 Haiquan Zhao, Yi Peng, Zian Cao

Although the known maximum total generalized correntropy (MTGC) and generalized maximum blakezisserman total correntropy (GMBZTC) algorithms can maintain good performance under the errors-in-variables (EIV) model disrupted by generalized Gaussian noise, their requirement for manual ad-justment of parameters is excessive, greatly increasing the practical difficulty of use.

OVEL: Large Language Model as Memory Manager for Online Video Entity Linking

no code implementations3 Mar 2024 Haiquan Zhao, Xuwu Wang, Shisong Chen, Zhixu Li, Xin Zheng, Yanghua Xiao

In this paper, we propose a task called Online Video Entity Linking OVEL, aiming to establish connections between mentions in online videos and a knowledge base with high accuracy and timeliness.

Entity Linking Language Modelling +2

Adaptive Unscented Kalman Filter under Minimum Error Entropy with Fiducial Points for Non-Gaussian Systems

no code implementations18 Sep 2023 Boyu Tian, Haiquan Zhao

By adding the correntropy to the error entropy, the proposed algorithm further enhances the ability of suppressing impulse noise and outliers.

Generalized Minimum Error with Fiducial Points Criterion for Robust Learning

no code implementations9 Sep 2023 Haiquan Zhao, Yuan Gao, Yingying Zhu

In this paper, a generalized minimum error with fiducial points criterion (GMEEF) is presented by adopting the Generalized Gaussian Density (GGD) function as kernel.

Acoustic echo cancellation

L0-norm constraint normalized subband adaptive filtering algorithm: Performance development and AEC application

no code implementations10 Apr 2023 Dongxu Liu, Haiquan Zhao, Yang Zhou

Limited by fixed step-size and sparsity penalty factor, the conventional sparsity-aware normalized subband adaptive filtering (NSAF) type algorithms suffer from trade-off requirements of high filtering accurateness and quicker convergence behavior for sparse system identification.

LEMMA

Robust Total Least Mean M-Estimate normalized subband filter Adaptive Algorithm for impulse noises and noisy inputs

no code implementations7 Nov 2022 Haiquan Zhao, Zian Cao, Yida Chen

In addition, this paper also conducts a detailed theoretical performance analysis of the TLMM-NSAF algorithm and obtains the stable step size range and theoretical steady-state mean squared deviation (MSD) of the algorithm.

Robust Multitask Diffusion Normalized M-estimate Subband Adaptive Filtering Algorithm Over Adaptive Networks

no code implementations20 Oct 2022 Wenjing Xu, Haiquan Zhao, Shaohui Lv

However, its performance is mainly limited by two aspects, i. e, the correlated input signal and impulsive noise interference.

Robustness of Maximum Correntropy Estimation Against Large Outliers

no code implementations23 Mar 2017 Badong Chen, Lei Xing, Haiquan Zhao, Bin Xu, Jose C. Principe

The maximum correntropy criterion (MCC) has recently been successfully applied in robust regression, classification and adaptive filtering, where the correntropy is maximized instead of minimizing the well-known mean square error (MSE) to improve the robustness with respect to outliers (or impulsive noises).

Kernel Risk-Sensitive Loss: Definition, Properties and Application to Robust Adaptive Filtering

no code implementations1 Aug 2016 Badong Chen, Lei Xing, Bin Xu, Haiquan Zhao, Nanning Zheng, Jose C. Principe

Nonlinear similarity measures defined in kernel space, such as correntropy, can extract higher-order statistics of data and offer potentially significant performance improvement over their linear counterparts especially in non-Gaussian signal processing and machine learning.

Maximum Correntropy Kalman Filter

no code implementations15 Sep 2015 Badong Chen, Xi Liu, Haiquan Zhao, José C. Príncipe

Traditional Kalman filter (KF) is derived under the well-known minimum mean square error (MMSE) criterion, which is optimal under Gaussian assumption.

Diffusion Maximum Correntropy Criterion Algorithms for Robust Distributed Estimation

no code implementations8 Aug 2015 Wentao Ma, Badong Chen, Jiandong Duan, Haiquan Zhao

Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion (MCC), including adaptation to combination MCC and combination to adaptation MCC, are developed to deal with the distributed estimation over network in impulsive (long-tailed) noise environments.

Generalized Correntropy for Robust Adaptive Filtering

no code implementations12 Apr 2015 Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe

In this work, we propose a generalized correntropy that adopts the generalized Gaussian density (GGD) function as the kernel (not necessarily a Mercer kernel), and present some important properties.

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