Gang Pan
70 papers · 2013–2026 · 9 conferences · across top CS/AI conferences
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(26)
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Century Club
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Conferences
AAAI (18)
IJCAI (12)
ICML (11)
NIPS (9)
CVPR (6)
ICLR (5)
ACL (3)
EMNLP (3)
ICCV (3)
Top co-authors
Keywords
spiking neural network
(13)
reinforcement learning
(6)
neural decoding
(6)
event camera
(5)
policy gradient
(4)
domain adaptation
(4)
brain-computer interface
(4)
image reconstruction
(4)
model compression
(3)
neural radiance field
(3)
unsupervised learning
(3)
novel view synthesis
(3)
policy optimization
(3)
multimodal learning
(3)
multi-agent system
(3)
sample efficiency
(2)
deep reinforcement learning
(2)
contrastive learning
(2)
self-supervised learning
(2)
image classification
(2)
Papers
EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning
AAAI 2026
SPEAK: Spiking Neurons as an Entropy-Aware Tokenizer for Large Language Models
ACL 2026
SΒ³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding
AAAI 2026
Training High Performance Spiking Neural Network by Temporal Model Calibration
ICML 2025
EvHDR-GS: Event-guided HDR Video Reconstruction with 3D Gaussian Splatting
AAAI 2025
EvHDR-NeRF: Building High Dynamic Range Radiance Fields with Single Exposure Images and Events
AAAI 2025
EvSTVSR: Event Guided Space-Time Video Super-Resolution
AAAI 2025
Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation
AAAI 2025
VP-MEL: Visual Prompts Guided Multimodal Entity Linking
ACL 2025
VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making
EMNLP 2025
ASD-iLLM:An Intervention Large Language Model for Autistic Children based on Real Clinical Dialogue Intervention Dataset
EMNLP 2025
Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency
ICCV 2025
E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes
ICCV 2025
Bridging the Gap between Brain and Machine in Interpreting Visual Semantics: Towards Self-adaptive Brain-to-Text Decoding
ICCV 2025
Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency
ICLR 2025
Mitigating Reward Over-Optimization in RLHF via Behavior-Supported Regularization
ICLR 2025
CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding
ICLR 2025
BrainUICL: An Unsupervised Individual Continual Learning Framework for EEG Applications
ICLR 2025
MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product
ICML 2025
Efficient ANN-SNN Conversion with Error Compensation Learning
ICML 2025
Flow Matching for Few-Trial Neural Adaptation with Stable Latent Dynamics
ICML 2025
Hybrid Spiking Vision Transformer for Object Detection with Event Cameras
ICML 2025
TS-SNN: Temporal Shift Module for Spiking Neural Networks
ICML 2025
EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video
IJCAI 2025
Towards efficient deep spiking neural networks construction with spiking activity based pruning
ICML 2024
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
ICML 2024
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
ICLR 2024
Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation
ICML 2024
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
AAAI 2024
LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition
ACL 2024
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization
IJCAI 2024
Mind Artist: Creating Artistic Snapshots with Human Thought
CVPR 2024
Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo
CVPR 2024
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
AAAI 2024
Generalizable Sleep Staging via Multi-Level Domain Alignment
AAAI 2024
Rethinking the Membrane Dynamics and Optimization Objectives of Spiking Neural Networks
NIPS 2024
FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor
NIPS 2024
ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks
AAAI 2023
DANI-Net: Uncalibrated Photometric Stereo by Differentiable Shadow Handling, Anisotropic Reflectance Modeling, and Neural Inverse Rendering
CVPR 2023
Constructing Deep Spiking Neural Networks From Artificial Neural Networks With Knowledge Distillation
CVPR 2023
Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge
EMNLP 2023
Rethinking Visual Reconstruction: Experience-Based Content Completion Guided by Visual Cues
ICML 2023
Controlling Type Confounding in Ad Hoc Teamwork with Instance-wise Teammate Feedback Rectification
ICML 2023
Alleviating the Semantic Gap for Generalized fMRI-to-Image Reconstruction
NIPS 2023
Enhancing Adaptive History Reserving by Spiking Convolutional Block Attention Module in Recurrent Neural Networks
NIPS 2023
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views
AAAI 2023
Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface
AAAI 2023
Augmented Proximal Policy Optimization for Safe Reinforcement Learning
AAAI 2023
Off-Policy Proximal Policy Optimization
AAAI 2023
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources
IJCAI 2022
Constrained Update Projection Approach to Safe Policy Optimization
NIPS 2022
Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
NIPS 2022
Policy Optimization with Stochastic Mirror Descent
AAAI 2022
Online Neural Sequence Detection with Hierarchical Dirichlet Point Process
NIPS 2022
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
IJCAI 2022
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork
IJCAI 2021
Indoor Lighting Estimation Using an Event Camera
CVPR 2021
On Convergence of Gradient Expected Sarsa(Ξ»)
AAAI 2021
Sample Complexity of Policy Gradient Finding Second-Order Stationary Points
AAAI 2021
Event-based Action Recognition Using Motion Information and Spiking Neural Networks
IJCAI 2021
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
NIPS 2020
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks
AAAI 2020
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
NIPS 2019
STCA: Spatio-Temporal Credit Assignment with Delayed Feedback in Deep Spiking Neural Networks
IJCAI 2019
Knowledge-Guided Agent-Tactic-Aware Learning for StarCraft Micromanagement
IJCAI 2018
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks
IJCAI 2018
CSNN: An Augmented Spiking based Framework with Perceptron-Inception
IJCAI 2018
A Unified Approach for Multi-step Temporal-Difference Learning with Eligibility Traces in Reinforcement Learning
IJCAI 2018
Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
CVPR 2015
Online Community Detection for Large Complex Networks
IJCAI 2013