Search Results for author: Hongbin Sun

Found 62 papers, 19 papers with code

Two-Stage Robust Planning Model for Park-Level Integrated Energy System Considering Uncertain Equipment Contingency

no code implementations30 Apr 2024 Zuxun Xiong, Xinwei Shen, Hongbin Sun

In the case study, the role of energy storage system for IES reliability enhancement is analyzed in detail.

Activating Wider Areas in Image Super-Resolution

1 code implementation13 Mar 2024 Cheng Cheng, Hang Wang, Hongbin Sun

The prevalence of convolution neural networks (CNNs) and vision transformers (ViTs) has markedly revolutionized the area of single-image super-resolution (SISR).

Image Super-Resolution

Exploring Hardware Friendly Bottleneck Architecture in CNN for Embedded Computing Systems

no code implementations11 Mar 2024 Xing Lei, Longjun Liu, Zhiheng Zhou, Hongbin Sun, Nanning Zheng

We deploy our L-Mobilenet model to ZYNQ embedded platform for fully evaluating the performance of our design.

Uncertainty-Aware Transient Stability-Constrained Preventive Redispatch: A Distributional Reinforcement Learning Approach

no code implementations14 Feb 2024 Zhengcheng Wang, Fei Teng, Yanzhen Zhou, Qinglai Guo, Hongbin Sun

In this paper, a Graph neural network guided Distributional Deep Reinforcement Learning (GD2RL) method is proposed, for the first time, to solve the uncertainty-aware transient stability-constrained preventive redispatch problem.

Distributional Reinforcement Learning reinforcement-learning

Distribution Locational Marginal Emission for Carbon Alleviation in Distribution Networks: Formulation, Calculation, and Implication

no code implementations12 Feb 2024 Linwei Sang, Yinliang Xu, Hongbin Sun, Qiuwei Wu, Wenchuan Wu

This paper establishes the distribution locational marginal emission (DLME) to calculate the marginal change of emission from the marginal change of both active and reactive load demand for incentivizing carbon alleviation.


Active Support of Inverters for Improving Short-Term Voltage Security in 100% IBRsPenetrated Power Systems

no code implementations2 Feb 2024 Yinhong Lin, Bin Wang, Qinglai Guo, Haotian Zhao, Hongbin Sun

Due to the energy crisis and environmental pollution, the installed capacity of inverter-based resources (IBRs) in power grids is rapidly increasing, and grid-following control (GFL) is the most prevalent at present.

Networked Multiagent Safe Reinforcement Learning for Low-carbon Demand Management in Distribution Network

no code implementations27 Nov 2023 Jichen Zhang, Linwei Sang, Yinliang Xu, Hongbin Sun

This paper proposes a multiagent based bi-level operation framework for the low-carbon demand management in distribution networks considering the carbon emission allowance on the demand side.

Management Safe Reinforcement Learning

Dynamic Operating Envelopes Embedded Peer-to-Peer-to-Grid Energy Trading

no code implementations23 Nov 2023 Zhisen Jiang, Ye Guo, Hongbin Sun, Jianxiao Wang

A novel decentralized peer-to-peer-to-grid (P2P2G) trading mechanism considering distribution network integrity is proposed.

energy trading

Meta-Adapter: An Online Few-shot Learner for Vision-Language Model

1 code implementation NeurIPS 2023 Cheng Cheng, Lin Song, Ruoyi Xue, Hang Wang, Hongbin Sun, Yixiao Ge, Ying Shan

Without bells and whistles, our approach outperforms the state-of-the-art online few-shot learning method by an average of 3. 6\% on eight image classification datasets with higher inference speed.

Few-Shot Learning Image Classification +3

SoTaNa: The Open-Source Software Development Assistant

1 code implementation25 Aug 2023 Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun

To meet the demands of this dynamic field, there is a growing need for an effective software development assistant.

Code Summarization

An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-Learning

no code implementations15 Aug 2023 Zichao Meng, Ye Guo, Hongbin Sun

This paper studies an adaptive approach for probabilistic wind power forecasting (WPF) including offline and online learning procedures.

Incremental Learning Meta-Learning

Multi-Interval Rolling-Window Joint Dispatch and Pricing of Energy and Reserve under Uncertainty

no code implementations8 Aug 2023 Jiantao Shi, Ye Guo, Wenchuan Wu, Hongbin Sun

In this paper, the intra-day multi-interval rolling-window joint dispatch and pricing of energy and reserve is studied under increasing volatile and uncertain renewable generations.

Short-Term Voltage Security Constrained UC to Prevent Trip Faults in High Wind Power Penetrated Power Systems

no code implementations19 Jun 2023 Yinhong Lin, Bin Wang, Qinglai Guo, Haotian Zhao, Hongbin Sun

Due to the time delay in WTs' controllers, it is difficult for WTs alone to meet the reactive power demands in different stages of the transient process.


Encoding Carbon Emission Flow in Energy Management: A Compact Constraint Learning Approach

no code implementations22 May 2023 Linwei Sang, Yinliang Xu, Hongbin Sun

Based on the constraint learning and mechanism design, this paper proposes the carbon-aware energy management model in the tractable MILP form to unlock the carbon reduction potential from the demand side.

energy management Management

Electricity Price Prediction for Energy Storage System Arbitrage: A Decision-focused Approach

no code implementations30 Apr 2023 Linwei Sang, Yinliang Xu, Huan Long, Qinran Hu, Hongbin Sun

So this paper proposes a decision-focused electricity price prediction approach for ESS arbitrage to bridge the gap from the downstream optimization model to the prediction model.

Decision Making Management

Conservative Sparse Neural Network Embedded Frequency-Constrained Unit Commitment With Distributed Energy Resources

no code implementations21 Apr 2023 Linwei Sang, Yinliang Xu, Zhongkai Yi, Lun Yang, Huan Long, Hongbin Sun

The increasing penetration of distributed energy resources (DERs) will decrease the rotational inertia of the power system and further degrade the system frequency stability.

Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond

1 code implementation11 Apr 2023 Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun

Our experimental study shows that (1) lexical, syntactic and structural properties of source code are encoded in the lower, intermediate, and higher layers, respectively, while the semantic property spans across the entire model.

Optimal scheduling of park-level integrated energy system considering ladder-type carbon trading mechanism and flexible load

no code implementations3 Mar 2023 Hongbin Sun, Xinmei Sun, Lei Kou, Benfa Zhang, Xiaodan Zhu

In an attempt to improve the utilization efficiency of multi-energy coupling in park-level integrated energy system (PIES), promote wind power consumption and reduce carbon emissions, a low-carbon economic operation optimization model of PIES integrating flexible load and carbon trading mechanism is constructed.


Dynamic Grained Encoder for Vision Transformers

1 code implementation NeurIPS 2021 Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng

Specifically, we propose a Dynamic Grained Encoder for vision transformers, which can adaptively assign a suitable number of queries to each spatial region.

Image Classification Language Modelling +2

Object-fabrication Targeted Attack for Object Detection

no code implementations13 Dec 2022 Xuchong Zhang, Changfeng Sun, Haoliang Han, Hang Wang, Hongbin Sun, Nanning Zheng

Evaluation results demonstrate that, the proposed object-fabrication targeted attack mode and the corresponding targeted feature space attack method show significant improvements in terms of image-specific attack, universal performance and generalization capability, compared with the previous targeted attack for object detection.

Adversarial Attack Object +2

Deep Reinforcement Learning Microgrid Optimization Strategy Considering Priority Flexible Demand Side

no code implementations11 Nov 2022 Jinsong Sang, Hongbin Sun, Lei Kou

The existing research takes into account the power constraints of the microgrid and fails to ensure a sufficient supply of electric energy for a single flexible load.

reinforcement-learning Reinforcement Learning (RL)

Appendix for Nonparametric Multivariate Probability Density Forecast in Smart Grids With Deep Learning

no code implementations27 Oct 2022 Zichao Meng, Ye Guo, Wenjun Tang, Hongbin Sun

This paper proposes a nonparametric multivariate density forecast model based on deep learning.

Reducing Action Space: Reference-Model-Assisted Deep Reinforcement Learning for Inverter-based Volt-Var Control

no code implementations10 Oct 2022 Qiong Liu, Ye Guo, Lirong Deng, Haotian Liu, Dongyu Li, Hongbin Sun

We investigate that a large action space increases the learning difficulties of DRL and degrades the optimization performance in the process of generating data and training neural networks.

Flux Linkage Based Evaluation Method for Voltage Inertia and Voltage Recovery Capability Under Large Disturbances

no code implementations4 Sep 2022 Yinhong Lin, Huaichang Ge, Bin Wang, Qinglai Guo, Hongbin Sun

The voltage support effect of the two capabilities is analyzed based on the flux linkage and an approximate simulation of the fault impact.

Energy-grade double pricing mechanism for a combined heat and power system using the asynchronous dispatch method

no code implementations17 Aug 2022 Xinyi Yi, Ye Guo, Hongbin Sun, Qiuwei Wu, Li Xiao

The problem of heat and electricity pricing in combined heat and power systems regarding the time scales of electricity and heat, as well as thermal energy quality, is studied.

A Multiple Market Trading Mechanism for Electricity, Renewable Energy Certificate and Carbon Emission Right of Virtual Power Plants

no code implementations8 Aug 2022 Zhihong Huang, Ye Guo, Qiuwei Wu, Li Xiao, Hongbin Sun

With the introduction of the inventory mechanism of REC and CER, the profit of the VPP increases and better trading decisions with multiple markets are made under the requirements of renewable portfolio standard (RPS) and carbon emission (CE) quota requirements.

DBQ-SSD: Dynamic Ball Query for Efficient 3D Object Detection

1 code implementation22 Jul 2022 Jinrong Yang, Lin Song, Songtao Liu, Weixin Mao, Zeming Li, Xiaoping Li, Hongbin Sun, Jian Sun, Nanning Zheng

Many point-based 3D detectors adopt point-feature sampling strategies to drop some points for efficient inference.

3D Object Detection object-detection

An Efficient Optimal Energy Flow Model for Integrated Energy Systems Based on Energy Circuit Modeling in the Frequency Domain

1 code implementation26 Jun 2022 Binbin Chen, Wenchuan Wu, Qinglai Guo, Hongbin Sun

First, an energy circuit method (ECM) that algebraizes the PDEs of NGNs and DHNs in the frequency domain is introduced.

Energy Circuit-based Integrated Energy Management System: Theory, Implementation, and Application

no code implementations26 Jun 2022 Binbin Chen, Qinglai Guo, Guanxiong Yin, Bin Wang, Zhaoguang Pan, Yuwei Chen, Wenchuan Wu, Hongbin Sun

Integrated energy systems (IESs), in which various energy flows are interconnected and coordinated to release potential flexibility for more efficient and secure operation, have drawn increasing attention in recent years.

energy management Management

S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

1 code implementation22 Jun 2022 Weihuang Chen, Fangfang Wang, Hongbin Sun

To safely and rationally participate in dense and heterogeneous traffic, autonomous vehicles require to sufficiently analyze the motion patterns of surrounding traffic-agents and accurately predict their future trajectories.

Autonomous Driving Trajectory Prediction

Reducing Learning Difficulties: One-Step Two-Critic Deep Reinforcement Learning for Inverter-based Volt-Var Control

no code implementations30 Mar 2022 Qiong Liu, Ye Guo, Lirong Deng, Haotian Liu, Dongyu Li, Hongbin Sun, Wenqi Huang

Then we design the one-step actor-critic DRL scheme which is a simplified version of recent DRL algorithms, and it avoids the issue of Q value overestimation successfully.

Joint Covering Congestion Rents in Multi-area Power Systems Considering Loop Flow Effects

no code implementations23 Mar 2022 Hao liu, Ye Guo, Haitian Liu, Hongbin Sun

We consider the problem of how multiple areas should jointly cover congestion rents of internal and tie-lines in an interconnected power system.


A Stochastic Planning Method for Low-carbon Building-level Integrated Energy System Considering Electric-Heat-V2G Coupling

no code implementations21 Mar 2022 Zuxun Xiong, Xinwei Shen, Qinglai Guo, Hongbin Sun

The concept of low-carbon building is proposed to ameliorate the climate change caused by environmental problems and realize carbon neutrality at the building level in urban areas.

A Fair and Efficient Hybrid Federated Learning Framework based on XGBoost for Distributed Power Prediction

no code implementations8 Jan 2022 Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun

In a modern power system, real-time data on power generation/consumption and its relevant features are stored in various distributed parties, including household meters, transformer stations and external organizations.

Fairness Privacy Preserving +1

Accuracy and Application Scope Analysis for Linearized Branch Flow Model in Radial Distribution Systems

no code implementations24 Dec 2021 Hanyang Lin, Xinwei Shen, Qinglai Guo, Hongbin Sun

An in-depth analysis of linearized branch flow (LBF) model considering current injection and absolute value of impedance is proposed in this paper.

A Scenario-oriented Approach to Multi-period Energy-Reserve Joint Procurement and Pricing

no code implementations24 Sep 2021 Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun

In [1], a single-period co-optimization model of energy and reserve is considered to better illustrate the properties of the co-optimization model and the associated market mechanism.

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

1 code implementation14 Aug 2021 Zhanghui Kuang, Hongbin Sun, Zhizhong Li, Xiaoyu Yue, Tsui Hin Lin, Jianyong Chen, Huaqiang Wei, Yiqin Zhu, Tong Gao, Wenwei Zhang, Kai Chen, Wayne Zhang, Dahua Lin

We present MMOCR-an open-source toolbox which provides a comprehensive pipeline for text detection and recognition, as well as their downstream tasks such as named entity recognition and key information extraction.

Key Information Extraction named-entity-recognition +4

Two-stage Planning for Electricity-Gas Coupled Integrated Energy System with CCUS Considering Carbon Tax and Price Uncertainty

no code implementations19 Jul 2021 Ang Xuan, Xinwei Shen, Qinglai Guo, Hongbin Sun

In this article, we propose two-stage planning models for Electricity-Gas Coupled Integrated Energy System (EGC-IES), in which traditional thermal power plants (TTPPs) are considered to be retrofitted into carbon capture power plants (CCPPs), with power to gas (PtG) coupling CCPPs to gas system.

A Scenario-oriented Approach to Energy-Reserve Joint Procurement and Pricing

no code implementations16 Jul 2021 Jiantao Shi, Ye Guo, Lang Tong, Wenchuan Wu, Hongbin Sun

We consider some crucial problems related to the secure and reliable operation of power systems with high renewable penetrations: how much reserve should we procure, how should reserve resources distribute among different locations, and how should we price reserve and charge uncertainty sources.

On the Evaluation of Neural Code Summarization

1 code implementation15 Jul 2021 Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun

To achieve a profound understanding of how far we are from solving this problem and provide suggestions to future research, in this paper, we conduct a systematic and in-depth analysis of 5 state-of-the-art neural code summarization models on 6 widely used BLEU variants, 4 pre-processing operations and their combinations, and 3 widely used datasets.

Code Summarization Source Code Summarization

An Integration and Operation Framework of Geothermal Heat Pumps in Distribution Networks

no code implementations12 Jun 2021 Lei Liang, Xuan Zhang, Hongbin Sun

Besides, in the Virtual Power Plant (VPP) system, the demand response of clustered GHP systems can improve the operating flexibility of the power grid.

energy management Management

A Multivariate Density Forecast Approach for Online Power System Security Assessment

no code implementations7 May 2021 Zichao Meng, Ye Guo, Wenjun Tang, Hongbin Sun, Wenqi Huang

A multivariate density forecast model based on deep learning is designed in this paper to forecast the joint cumulative distribution functions (JCDFs) of multiple security margins in power systems.

A Conditional Value-at-Risk Based Planning Model for Integrated Energy System with Energy Storage and Renewables

no code implementations22 Apr 2021 Ang Xuan, Xinwei Shen, Qinglai Guo, Hongbin Sun

Owing to the potential higher energy supply efficiency and operation flexibility, integrated energy system (IES), which usually includes electric power, gas and heating/cooling systems, is considered as one of the primary forms of energy carrier in the future.

Spatial Dual-Modality Graph Reasoning for Key Information Extraction

2 code implementations26 Mar 2021 Hongbin Sun, Zhanghui Kuang, Xiaoyu Yue, Chenhao Lin, Wayne Zhang

In order to roundly evaluate our proposed method as well as boost the future research, we release a new dataset named WildReceipt, which is collected and annotated tailored for the evaluation of key information extraction from document images of unseen templates in the wild.

Key Information Extraction Template Matching

A Federated Learning Framework for Smart Grids: Securing Power Traces in Collaborative Learning

no code implementations22 Mar 2021 Haizhou Liu, Xuan Zhang, Xinwei Shen, Hongbin Sun

For example, power consumption data are stored in numerous transformer stations across cities; mobility data of the population, which are important indicators of power consumption, are held by mobile companies.

Privacy Preserving Vertical Federated Learning

Fine-Grained Dynamic Head for Object Detection

1 code implementation NeurIPS 2020 Lin Song, Yanwei Li, Zhengkai Jiang, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng

To this end, we propose a fine-grained dynamic head to conditionally select a pixel-level combination of FPN features from different scales for each instance, which further releases the ability of multi-scale feature representation.

Object object-detection +1

ADCPNet: Adaptive Disparity Candidates Prediction Network for Efficient Real-Time Stereo Matching

no code implementations18 Nov 2020 He Dai, Xuchong Zhang, Yongli Zhao, Hongbin Sun

The evaluation results on multiple datasets and platforms clearly demonstrate that, the proposed network outperforms the state-of-the-art lightweight models especially for mobile devices in terms of accuracy and speed.

Disparity Estimation Stereo Matching

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition

4 code implementations ECCV 2020 Xiaoyu Yue, Zhanghui Kuang, Chenhao Lin, Hongbin Sun, Wayne Zhang

Theoretically, our proposed method, dubbed \emph{RobustScanner}, decodes individual characters with dynamic ratio between context and positional clues, and utilizes more positional ones when the decoding sequences with scarce context, and thus is robust and practical.

Decoder Irregular Text Recognition +2

TACNet: Transition-Aware Context Network for Spatio-Temporal Action Detection

no code implementations CVPR 2019 Lin Song, Shiwei Zhang, Gang Yu, Hongbin Sun

In this paper, we define these ambiguous samples as "transitional states", and propose a Transition-Aware Context Network (TACNet) to distinguish transitional states.

Action Detection

SCAN: Self-and-Collaborative Attention Network for Video Person Re-identification

no code implementations16 Jul 2018 Ruimao Zhang, Hongbin Sun, Jingyu Li, Yuying Ge, Liang Lin, Ping Luo, Xiaogang Wang

To address the above issues, we present a novel and practical deep architecture for video person re-identification termed Self-and-Collaborative Attention Network (SCAN).

Video-Based Person Re-Identification

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