Search Results for author: Jie Feng

Found 49 papers, 20 papers with code

Analytical Lyapunov Function Discovery: An RL-based Generative Approach

no code implementations4 Feb 2025 Haohan Zou, Jie Feng, Hao Zhao, Yuanyuan Shi

Despite advances in learning-based methods, finding valid Lyapunov functions for nonlinear dynamical systems remains challenging.

Adaptive Homophily Clustering: Structure Homophily Graph Learning with Adaptive Filter for Hyperspectral Image

no code implementations3 Jan 2025 Yao Ding, Weijie Kang, Aitao Yang, Zhili Zhang, Junyang Zhao, Jie Feng, Danfeng Hong, Qinhe Zheng

Meanwhile, homophily-enhanced structure learning is introduced to update the graph according to the clustering task, in which the orient correlation estimation is adopted to estimate the node connection, and graph edge sparsification is designed to adjust the edges in the graph dynamically.

Clustering Graph Clustering +3

Understanding World or Predicting Future? A Comprehensive Survey of World Models

no code implementations21 Nov 2024 Jingtao Ding, Yunke Zhang, Yu Shang, Yuheng Zhang, Zefang Zong, Jie Feng, Yuan Yuan, Hongyuan Su, Nian Li, Nicholas Sukiennik, Fengli Xu, Yong Li

The concept of world models has garnered significant attention due to advancements in multimodal large language models such as GPT-4 and video generation models such as Sora, which are central to the pursuit of artificial general intelligence.

Autonomous Driving Decision Making +1

Differentiable Optimization-based Control Policy with Convergence Analysis

no code implementations12 Nov 2024 Yuexin Bian, Jie Feng, Yuanyuan Shi

Real-world system control requires both high-performing and interpretable controllers.

Tabular Data Synthesis with Differential Privacy: A Survey

no code implementations4 Nov 2024 Mengmeng Yang, Chi-Hung Chi, Kwok-Yan Lam, Jie Feng, Taolin Guo, Wei Ni

This paper provides a comprehensive overview of existing differentially private tabular data synthesis methods, highlighting the unique challenges of each generation model for generating tabular data under differential privacy constraints.

Survey

TrajAgent: An Agent Framework for Unified Trajectory Modelling

1 code implementation27 Oct 2024 Yuwei Du, Jie Feng, Jie Zhao, Yong Li

In TrajAgent, we first develop UniEnv, an execution environment with a unified data and model interface, to support the execution and training of various models.

Future prediction Language Modeling +3

OpenCity: A Scalable Platform to Simulate Urban Activities with Massive LLM Agents

no code implementations11 Oct 2024 Yuwei Yan, Qingbin Zeng, Zhiheng Zheng, Jingzhe Yuan, Jie Feng, Jun Zhang, Fengli Xu, Yong Li

Besides, the substantial speedup of OpenCity allows us to establish a urban simulation benchmark for LLM agents for the first time, comparing simulated urban activities with real-world data in 6 major cities around the globe.

Neural-Polyptych: Content Controllable Painting Recreation for Diverse Genres

no code implementations29 Sep 2024 Yiming Zhao, Dewen Guo, Zhouhui Lian, Yue Gao, Jianhong Han, Jie Feng, Guoping Wang, Bingfeng Zhou, Sheng Li

To bridge the gap between artists and non-specialists, we present a unified framework, Neural-Polyptych, to facilitate the creation of expansive, high-resolution paintings by seamlessly incorporating interactive hand-drawn sketches with fragments from original paintings.

Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia

1 code implementation27 Aug 2024 Jie Feng, Wenqi Cui, Jorge Cortés, Yuanyuan Shi

The increasing integration of renewable energy resources into power grids has led to time-varying system inertia and consequent degradation in frequency dynamics.

AgentMove: Predicting Human Mobility Anywhere Using Large Language Model based Agentic Framework

1 code implementation26 Aug 2024 Jie Feng, Yuwei Du, Jie Zhao, Yong Li

In AgentMove, we first decompose the mobility prediction task into three sub-tasks and then design corresponding modules to complete these subtasks, including spatial-temporal memory for individual mobility pattern mining, world knowledge generator for modeling the effects of urban structure and collective knowledge extractor for capturing the shared patterns among population.

Language Modeling Language Modelling +2

LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction

1 code implementation23 Aug 2024 Songwei Li, Jie Feng, Jiawei Chi, Xinyuan Hu, Xiaomeng Zhao, Fengli Xu

Moreover, we propose a transformer-based intention-aware mobility prediction model to effectively harness the intention inference ability of LLM.

Language Modeling Language Modelling +1

FuXi Weather: A data-to-forecast machine learning system for global weather

1 code implementation10 Aug 2024 Xiuyu Sun, Xiaohui Zhong, Xiaoze Xu, Yuanqing Huang, Hao Li, J. David Neelin, Deliang Chen, Jie Feng, Wei Han, Libo Wu, Yuan Qi

Weather forecasting traditionally relies on numerical weather prediction (NWP) systems that integrates global observational systems, data assimilation (DA), and forecasting models.

Computational Efficiency Weather Forecasting

UrbanWorld: An Urban World Model for 3D City Generation

1 code implementation16 Jul 2024 Yu Shang, Yuming Lin, Yu Zheng, Hangyu Fan, Jingtao Ding, Jie Feng, Jiansheng Chen, Li Tian, Yong Li

Toward this problem, we propose UrbanWorld, the first generative urban world model that can automatically create a customized, realistic and interactive 3D urban world with flexible control conditions.

Decision Making Language Modelling +2

Combining Neural Networks and Symbolic Regression for Analytical Lyapunov Function Discovery

1 code implementation21 Jun 2024 Jie Feng, Haohan Zou, Yuanyuan Shi

This framework contains a neural Lyapunov function and a symbolic regression component, where symbolic regression is applied to distill the neural network to precise analytical forms.

regression Symbolic Regression +1

CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks

1 code implementation20 Jun 2024 Jie Feng, Jun Zhang, Tianhui Liu, Xin Zhang, Tianjian Ouyang, Junbo Yan, Yuwei Du, Siqi Guo, Yong Li

The challenge in constructing a systematic evaluation benchmark for urban research lies in the diversity of urban data, the complexity of application scenarios and the highly dynamic nature of the urban environment.

General Knowledge Human Dynamics +2

CityGPT: Empowering Urban Spatial Cognition of Large Language Models

1 code implementation20 Jun 2024 Jie Feng, Yuwei Du, Tianhui Liu, Siqi Guo, Yuming Lin, Yong Li

In this paper, we propose CityGPT, a systematic framework for enhancing the capability of LLMs on understanding urban space and solving the related urban tasks by building a city-scale world model in the model.

Code Generation Math +2

Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection

no code implementations12 Jun 2024 Jie Feng, Xiaojian Zhong, Di Li, Weisheng Dong, Ronghua Shang, Licheng Jiao

However, most existing deep learning-based methods are aimed at dealing with a specific band selection dataset, and need to retrain parameters for new datasets, which significantly limits their generalizability. To address this issue, a novel multi-teacher multi-objective meta-learning network (M$^3$BS) is proposed for zero-shot hyperspectral band selection.

Hyperspectral Image Classification Meta-Learning

Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia

no code implementations30 May 2024 Jie Feng, Manasa Muralidharan, Rodrigo Henriquez-Auba, Patricia Hidalgo-Gonzalez, Yuanyuan Shi

We test the proposed control on a 12-bus 3-area test network, and compare its performance with a base case linear controller, optimized linear controller, and finite-horizon Linear Quadratic Regulator (LQR).

FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting

no code implementations9 May 2024 Xiaohui Zhong, Lei Chen, Hao Li, Jun Liu, Xu Fan, Jie Feng, Kan Dai, Jing-Jia Luo, Jie Wu, Bo Lu

This innovative approach makes FuXi-ENS an advancement over the traditional ones that use L1 loss combined with the KL loss in standard VAE models for ensemble weather forecasting.

Weather Forecasting

SA-MixNet: Structure-aware Mixup and Invariance Learning for Scribble-supervised Road Extraction in Remote Sensing Images

no code implementations3 Mar 2024 Jie Feng, Hao Huang, Junpeng Zhang, Weisheng Dong, Dingwen Zhang, Licheng Jiao

To eliminate the reliance on such priors, we propose a novel Structure-aware Mixup and Invariance Learning framework (SA-MixNet) for weakly supervised road extraction that improves the model invariance in a data-driven manner.

UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction

1 code implementation19 Feb 2024 Yuan Yuan, Jingtao Ding, Jie Feng, Depeng Jin, Yong Li

Urban spatio-temporal prediction is crucial for informed decision-making, such as traffic management, resource optimization, and emergence response.

Decision Making Management

Global Convergence of Natural Policy Gradient with Hessian-aided Momentum Variance Reduction

no code implementations2 Jan 2024 Jie Feng, Ke Wei, Jinchi Chen

Natural policy gradient (NPG) and its variants are widely-used policy search methods in reinforcement learning.

MuJoCo Policy Gradient Methods

Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment

1 code implementation19 Dec 2023 Fengli Xu, Jun Zhang, Chen Gao, Jie Feng, Yong Li

Urban environments, characterized by their complex, multi-layered networks encompassing physical, social, economic, and environmental dimensions, face significant challenges in the face of rapid urbanization.

IMJENSE: Scan-specific Implicit Representation for Joint Coil Sensitivity and Image Estimation in Parallel MRI

1 code implementation21 Nov 2023 Ruimin Feng, Qing Wu, Jie Feng, Huajun She, Chunlei Liu, Yuyao Zhang, Hongjiang Wei

Benefiting from the powerful continuous representation and joint estimation of the MRI image and coil sensitivities, IMJENSE outperforms conventional image or k-space domain reconstruction algorithms.

MRI Reconstruction Specificity

Bridging Transient and Steady-State Performance in Voltage Control: A Reinforcement Learning Approach with Safe Gradient Flow

no code implementations20 Mar 2023 Jie Feng, Wenqi Cui, Jorge Cortés, Yuanyuan Shi

Deep reinforcement learning approaches are becoming appealing for the design of nonlinear controllers for voltage control problems, but the lack of stability guarantees hinders their deployment in real-world scenarios.

Deep Reinforcement Learning

Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction

no code implementations31 Dec 2022 Jie Feng, Ruimin Feng, Qing Wu, Zhiyong Zhang, Yuyao Zhang, Hongjiang Wei

The high-quality and inner continuity of the images provided by INR has great potential to further improve the spatiotemporal resolution of dynamic MRI, without the need of any training data.

MRI Reconstruction

Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images

1 code implementation15 Dec 2022 Yanan Wu, Shuiqing Zhao, Shouliang Qi, Jie Feng, Haowen Pang, Runsheng Chang, Long Bai, Mengqi Li, Shuyue Xia, Wei Qian, Hongliang Ren

In the first stage, the total airway mask and CT images are provided to the subnetwork, and the intrapulmonary airway mask and corresponding CT scans to the subnetwork in the second stage.

Computed Tomography (CT) Decoder +1

Stability Constrained Reinforcement Learning for Decentralized Real-Time Voltage Control

1 code implementation16 Sep 2022 Jie Feng, Yuanyuan Shi, Guannan Qu, Steven H. Low, Anima Anandkumar, Adam Wierman

In this paper, we propose a stability-constrained reinforcement learning (RL) method for real-time voltage control, that guarantees system stability both during policy learning and deployment of the learned policy.

Deep Reinforcement Learning reinforcement-learning +1

SparseDet: Towards End-to-End 3D Object Detection

no code implementations2 Jun 2022 Jianhong Han, Zhaoyi Wan, Zhe Liu, Jie Feng, Bingfeng Zhou

We believe this end-to-end paradigm of SparseDet will inspire new thinking on the sparsity of 3D object detection.

3D Object Detection Object +1

One-shot Transfer Learning for Population Mapping

1 code implementation13 Aug 2021 Erzhuo Shao, Jie Feng, Yingheng Wang, Tong Xia, Yong Li

Thus, obtaining fine-grained population distribution from coarse-grained distribution becomes an important problem.

Population Mapping Scheduling +1

PAM: Understanding Product Images in Cross Product Category Attribute Extraction

no code implementations8 Jun 2021 Rongmei Lin, Xiang He, Jie Feng, Nasser Zalmout, Yan Liang, Li Xiong, Xin Luna Dong

Understanding product attributes plays an important role in improving online shopping experience for customers and serves as an integral part for constructing a product knowledge graph.

Attribute Attribute Extraction +4

MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping

1 code implementation21 Jan 2021 Ruimin Feng, Jiayi Zhao, He Wang, Baofeng Yang, Jie Feng, Yuting Shi, Ming Zhang, Chunlei Liu, Yuyao Zhang, Jie Zhuang, Hongjiang Wei

However, there exists a mismatch between the observed phase and the theoretical forward phase estimated by the susceptibility label.

Deep Learning SSIM

AttnMove: History Enhanced Trajectory Recovery via Attentional Network

no code implementations3 Jan 2021 Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li

A considerable amount of mobility data has been accumulated due to the proliferation of location-based service.

Trajectory Recovery

MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting

no code implementations19 Aug 2020 Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren

To characterize complex relations among variables, a relation embedding module is designed in MTHetGNN, where each variable is regarded as a graph node, and each type of edge represents a specific static or dynamic relationship.

Decision Making Graph Embedding +2

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting

no code implementations18 Aug 2020 Yifu Zhou, Ziheng Duan, Haoyan Xu, Jie Feng, Anni Ren, Yueyang Wang, Xiaoqian Wang

In this paper, a MTS forecasting framework that can capture the long-term trends and short-term fluctuations of time series in parallel is proposed.

Decision Making Multi-Task Learning +2

CoSimGNN: Towards Large-scale Graph Similarity Computation

no code implementations14 May 2020 Haoyan Xu, Runjian Chen, Yueyang Wang, Ziheng Duan, Jie Feng

In this paper, we focus on similarity computation for large-scale graphs and propose the "embedding-coarsening-matching" framework CoSimGNN, which first embeds and coarsens large graphs with adaptive pooling operation and then deploys fine-grained interactions on the coarsened graphs for final similarity scores.

3D Action Recognition Graph Similarity

A SVBRDF Modeling Pipeline using Pixel Clustering

1 code implementation1 Dec 2019 Bo Li, Jie Feng, Bingfeng Zhou

We present a pipeline for modeling spatially varying BRDFs (svBRDFs) of planar materials which only requires a mobile phone for data acquisition.

Graphics

Learning Phase Competition for Traffic Signal Control

1 code implementation12 May 2019 Guanjie Zheng, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu, Zhenhui Li

Increasingly available city data and advanced learning techniques have empowered people to improve the efficiency of our city functions.

Reinforcement Learning Reinforcement Learning (RL) +1

DeepDPM: Dynamic Population Mapping via Deep Neural Network

no code implementations25 Oct 2018 Zefang Zong, Jie Feng, Kechun Liu, Hongzhi Shi, Yong Li

In this paper, we first propose the idea to generate dynamic population distributions in full-time series, then we design dynamic population mapping via deep neural network(DeepDPM), a model that describes both spatial and temporal patterns using coarse data and point of interest information.

Population Mapping Super-Resolution +2

Deep Image Set Hashing

no code implementations16 Jun 2016 Jie Feng, Svebor Karaman, I-Hong Jhuo, Shih-Fu Chang

Learning-based hashing is often used in large scale image retrieval as they provide a compact representation of each sample and the Hamming distance can be used to efficiently compare two samples.

Image Retrieval Retrieval +1

Interactive Segmentation on RGBD Images via Cue Selection

no code implementations CVPR 2016 Jie Feng, Brian Price, Scott Cohen, Shih-Fu Chang

While these methods achieve better results than color-based methods, they are still limited in either using depth as an additional color channel or simply combining depth with color in a linear way.

Image Retrieval Image Segmentation +5

Learning to Rank Binary Codes

no code implementations21 Oct 2014 Jie Feng, Wei Liu, Yan Wang

Binary codes have been widely used in vision problems as a compact feature representation to achieve both space and time advantages.

Binarization Image Retrieval +2

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