Gang Pan

69 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🤝 Dynamic Duo (26) 👑 Triple Crown 🏆 Keyword Champion (2) 🏆 Grand Slam 🔬 Deep Specialist (13) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (12) 🗃️ Keyword Collector (280) 📈 Trend Setter 🔥 Unstoppable (8) 💎 Century Club (67)

Conferences

AAAI (18) IJCAI (12) ICML (11) NIPS (9) CVPR (6) ICLR (5) EMNLP (3) ICCV (3) ACL (2)

Top co-authors

Qian Zheng (27) Huajin Tang (19) Yu Qi (12) De Ma (11) Jiangrong Shen (10) Qi Xu (10) Yueming Wang (9) Shijian Li (7) Sha Zhao (7) Long Yang (6)

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

S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding AAAI 2026

Hybrid Spiking Vision Transformer for Object Detection with Event Cameras 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

Training High Performance Spiking Neural Network by Temporal Model Calibration 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

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree ICML 2024

Safe Reinforcement Learning using Finite-Horizon Gradient-based Estimation ICML 2024

Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism ICLR 2024

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need 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

Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation AAAI 2024

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition ACL 2024

Mind Artist: Creating Artistic Snapshots with Human Thought CVPR 2024

Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo CVPR 2024

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization IJCAI 2024

FEEL-SNN: Robust Spiking Neural Networks with Frequency Encoding and Evolutionary Leak Factor NIPS 2024

Towards efficient deep spiking neural networks construction with spiking activity based pruning ICML 2024

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge EMNLP 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

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

ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 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

Policy Optimization with Stochastic Mirror Descent AAAI 2022

Constrained Update Projection Approach to Safe Policy Optimization NIPS 2022

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks IJCAI 2022

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources IJCAI 2022

Online Neural Sequence Detection with Hierarchical Dirichlet Point Process NIPS 2022

Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding NIPS 2022

Indoor Lighting Estimation Using an Event Camera CVPR 2021

Event-based Action Recognition Using Motion Information and Spiking Neural Networks IJCAI 2021

Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork IJCAI 2021

On Convergence of Gradient Expected Sarsa(λ) AAAI 2021

Sample Complexity of Policy Gradient Finding Second-Order Stationary Points AAAI 2021

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks AAAI 2020

Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN NIPS 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

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

Jointly Learning Network Connections and Link Weights in Spiking Neural Networks 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