Search Results for author: Zhigang Zeng

Found 21 papers, 3 papers with code

A Demand-Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration

no code implementations26 Sep 2023 Yuanzheng Li, Xinxin Long, Yang Li, Yizhou Ding, Tao Yang, Zhigang Zeng

In this context, unreasonable profit distributions on the demand-supply side would lead to the conflict of interests and diminish the effectiveness of cooperative responses.

ERNetCL: A novel emotion recognition network in textual conversation based on curriculum learning strategy

no code implementations12 Aug 2023 Jiang Li, XiaoPing Wang, Yingjian Liu, Zhigang Zeng

We utilize TE and SE to combine the strengths of previous methods in a simplistic manner to efficiently capture temporal and spatial contextual information in the conversation.

Emotion Recognition in Conversation

CFN-ESA: A Cross-Modal Fusion Network with Emotion-Shift Awareness for Dialogue Emotion Recognition

no code implementations28 Jul 2023 Jiang Li, Yingjian Liu, XiaoPing Wang, Zhigang Zeng

RUME is applied to extract conversation-level contextual emotional cues while pulling together the data distributions between modalities; ACME is utilized to perform multimodal interaction centered on textual modality; LESM is used to model emotion shift and capture related information, thereby guide the learning of the main task.

Emotion Recognition in Conversation Multimodal Emotion Recognition

Complementary Learning Subnetworks for Parameter-Efficient Class-Incremental Learning

no code implementations21 Jun 2023 Depeng Li, Zhigang Zeng

The inaccessibility of historical data is tackled by holistically controlling the parameters of a well-trained model, ensuring that the decision boundary learned fits new classes while retaining recognition of previously learned classes.

Class Incremental Learning Decision Making +1

Multi-View Class Incremental Learning

no code implementations16 Jun 2023 Depeng Li, Tianqi Wang, Junwei Chen, Kenji Kawaguchi, Cheng Lian, Zhigang Zeng

Multi-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance.

Class Incremental Learning Decision Making +3

Towards Complex Real-World Safety Factory Inspection: A High-Quality Dataset for Safety Clothing and Helmet Detection

no code implementations3 Jun 2023 Fusheng Yu, XiaoPing Wang, Jiang Li, Shaojin Wu, Junjie Zhang, Zhigang Zeng

However, limited availability of high-quality datasets has hindered the development of deep learning methods for safety clothing and helmet detection.

object-detection Object Detection

EmotionIC: emotional inertia and contagion-driven dependency modeling for emotion recognition in conversation

1 code implementation20 Mar 2023 Yingjian Liu, Jiang Li, XiaoPing Wang, Zhigang Zeng

Emotion Recognition in Conversation (ERC) has attracted growing attention in recent years as a result of the advancement and implementation of human-computer interface technologies.

Emotion Recognition in Conversation

DaFKD: Domain-Aware Federated Knowledge Distillation

no code implementations CVPR 2023 Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng

In this paper, we propose a new perspective that treats the local data in each client as a specific domain and design a novel domain knowledge aware federated distillation method, dubbed DaFKD, that can discern the importance of each model to the distillation sample, and thus is able to optimize the ensemble of soft predictions from diverse models.

Knowledge Distillation

Federated Multi-Agent Deep Reinforcement Learning Approach via Physics-Informed Reward for Multi-Microgrid Energy Management

no code implementations29 Dec 2022 Yuanzheng Li, Shangyang He, Yang Li, Yang Shi, Zhigang Zeng

Then, these local models are periodically uploaded to a server and their parameters are aggregated to build a global agent, which will be broadcasted to MGs and replace their local agents.

energy management Federated Learning +4

InferEM: Inferring the Speaker's Intention for Empathetic Dialogue Generation

no code implementations13 Dec 2022 Guoqing Lv, Jiang Li, XiaoPing Wang, Zhigang Zeng

We separately encode the last utterance and fuse it with the entire dialogue through the multi-head attention based intention fusion module to capture the speaker's intention.

Dialogue Generation Empathetic Response Generation +2

Mapping Emulation for Knowledge Distillation

no code implementations21 May 2022 Jing Ma, Xiang Xiang, Zihan Zhang, Yuwen Tan, Yiming Wan, Zhigang Zeng, DaCheng Tao

A new geometric perspective is presented to view such a problem as aligning generated distributions between the teacher and student.

Federated Learning Knowledge Distillation

Probabilistic Charging Power Forecast of EVCS: Reinforcement Learning Assisted Deep Learning Approach

no code implementations17 Apr 2022 Yuanzheng Li, Shangyang He, Yang Li, Leijiao Ge, Suhua Lou, Zhigang Zeng

This paper tackles this issue by proposing a reinforcement learning assisted deep learning framework for the probabilistic EVCS charging power forecasting to capture its uncertainties.

reinforcement-learning Reinforcement Learning (RL) +2

Multimodal Representations Learning Based on Mutual Information Maximization and Minimization and Identity Embedding for Multimodal Sentiment Analysis

no code implementations10 Jan 2022 Jiahao Zheng, Sen Zhang, XiaoPing Wang, Zhigang Zeng

Multimodal sentiment analysis (MSA) is a fundamental complex research problem due to the heterogeneity gap between different modalities and the ambiguity of human emotional expression.

Multimodal Sentiment Analysis

Transfer Learning for Motor Imagery Based Brain-Computer Interfaces: A Complete Pipeline

1 code implementation3 Jul 2020 Dongrui Wu, Xue Jiang, Ruimin Peng, Wanzeng Kong, Jian Huang, Zhigang Zeng

Transfer learning (TL) has been widely used in motor imagery (MI) based brain-computer interfaces (BCIs) to reduce the calibration effort for a new subject, and demonstrated promising performance.

Classification EEG +4

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