Jie Feng
22 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (56) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(2)
π§¬
Topic Evolution
π€
Dynamic Duo
(11)
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Renaissance Researcher
(8)
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Prolific Year Β· Prolific
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(124)
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(13)
Machine Learning
(11)
Deep Learning
(8)
Computer Vision
(6)
Data Science & Analytics
(4)
Natural Language Processing
(4)
Architectures
(4)
Core Methods
(4)
Learning Types
(4)
Models
(4)
Reinforcement Learning
(3)
Analysis
(3)
Application Areas
(3)
Applications
(3)
Keywords
large language model
(4)
convolutional neural network
(3)
vision-language model
(3)
reinforcement learning
(2)
trajectory prediction
(2)
implicit neural representation
(2)
location prediction
(2)
urban computing
(2)
point of interest
(2)
retrieval-augmented generation
(2)
manifold learning
(1)
attention mechanism
(1)
natural policy gradient
(1)
social media analysis
(1)
open-set classification
(1)
policy optimization
(1)
text classification
(1)
image reconstruction
(1)
sentiment analysis
(1)
benchmark evaluation
(1)
Papers
DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
AAAI 2026
PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation
AAAI 2026
Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation
AAAI 2026
Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning
AAAI 2026
WebClipper: Efficient Evolution of Web Agents with Graph-based Trajectory Pruning
ACL 2026
Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI
AAAI 2026
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
NAACL 2025
Analytical Lyapunov Function Discovery: An RL-based Generative Approach
ICML 2025
AutoQual: An LLM Agent for Automated Discovery of Interpretable Features for Review Quality Assessment
EMNLP 2025
Defining and Evaluating Visual Language Modelsβ Basic Spatial Abilities: A Perspective from Psychometrics
ACL 2025
Depression Detection on Social Media with Large Language Models
EMNLP 2025
HIRAG: Hierarchical-Thought Instruction-Tuning Retrieval-Augmented Generation
EMNLP 2025
Mitigating Geospatial Knowledge Hallucination in Large Language Models: Benchmarking and Dynamic Factuality Aligning
EMNLP 2025
Open-Set Living Need Prediction with Large Language Models
ACL 2025
Partially Matching Submap Helps: Uncertainty Modeling and Propagation for Text to Point Cloud Localization
ICCV 2025
UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence
ICCV 2025
Decentralized Natural Policy Gradient with Variance Reduction for Collaborative Multi-Agent Reinforcement Learning
JMLR 2024
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
AAAI 2021
A Sequential Convolution Network for Population Flow Prediction with Explicitly Correlation Modelling
IJCAI 2020
DeepDPM: Dynamic Population Mapping via Deep Neural Network
AAAI 2019
DeepSTN+: Context-Aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis
AAAI 2019
Interactive Segmentation on RGBD Images via Cue Selection
CVPR 2016