Dong Li

99 papers · 2016–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🏃 Academic Marathon (9) 🐝 Cross-Pollinator (12) 🏠 Conference Loyalist (28) 🏆 Keyword Champion 🤝 Dynamic Duo (17) 🏆 Grand Slam 🔬 Deep Specialist (11) 👥 Mega-Team (34) 👑 Triple Crown 📈 Trend Setter 🗃️ Keyword Collector (420) 🔥 Unstoppable (6) ⚡ Prolific Year (9) 🚀 Conference Pioneer 💎 Century Club (89)

Conferences

AAAI (28) CVPR (16) NIPS (12) ICML (8) IJCAI (7) ICCV (6) ICLR (5) COLING (4) EMNLP (4) ACL (3) ECCV (3) NAACL (2) JMLR (1)

Top co-authors

Lu Tian (17) Jianye Hao (16) Xueyang Fu (13) Emad Barsoum (12) Ji Liu (10) Zheng-Jun Zha (10) Biqing Qi (8) Junqi Gao (8) Wulong Liu (8) Yi Shan (8)

Research topics

Machine Learning (1) Applications (1)

Keywords

large language model (9) diffusion model (8) model compression (6) graph neural network (5) variational autoencoder (5) contrastive learning (5) representation learning (5) image restoration (4) multi-agent system (4) vision transformer (4) domain adaptation (3) latent space (3) reinforcement learning (3) transformer architecture (3) multi-agent reinforcement learning (3) efficient computing (3) attention mechanism (3) neural network optimization (3) image forgery detection (3) out-of-distribution detection (3)

Papers

Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models AAAI 2026

FreeInpaint: Tuning-free Prompt Alignment and Visual Rationality Enhancement in Image Inpainting AAAI 2026

CompEvent: Complex-valued Event-RGB Fusion for Low-light Video Enhancement and Deblurring AAAI 2026

CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning AAAI 2026

GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning AAAI 2026

DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation AAAI 2026

Learnable Permutation for Structured Sparsity on Transformer Models AAAI 2026

SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning AAAI 2026

LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs AAAI 2026

MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026

Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025

BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation ICML 2025

From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 2025

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding ICML 2025

FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining ICML 2025

Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion ICCV 2025

PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening IJCAI 2025

Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference NAACL 2025

DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization NAACL 2025

EGSRAL:An Enhanced 3D Gaussian Splatting Based Renderer with Automated Labeling for Large-Scale Driving Scene AAAI 2025

DreamUHD: Frequency Enhanced Variational Autoencoder for Ultra-High-Definition Image Restoration AAAI 2025

A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization AAAI 2025

Fast and Slow Gradient Approximation for Binary Neural Network Optimization AAAI 2025

Uncertainty Propagation on LLM Agent ACL 2025

Graph Counselor: Adaptive Graph Exploration via Multi-Agent Synergy to Enhance LLM Reasoning ACL 2025

FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment ICCV 2025

Enhancing One-Shot Pruned Pre-trained Language Models through Sparse-Dense-Sparse Mechanism COLING 2025

FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task COLING 2025

FinNLP-FNP-LLMFinLegal @ COLING 2025 Shared Task: Agent-Based Single Cryptocurrency Trading Challenge COLING 2025

Reinforced In-Context Black-Box Optimization IJCAI 2025

CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness IJCAI 2025

Enhanced Pansharpening via Quaternion Spatial-Spectral Interactions ICCV 2025

KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models EMNLP 2025

Superpose Task-specific Features for Model Merging EMNLP 2025

Learnable Frequency Decomposition for Image Forgery Detection and Localization IJCAI 2025

FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models IJCAI 2025

ReNeg: Learning Negative Embedding with Reward Guidance CVPR 2025

UHD-processer: Unified UHD Image Restoration with Progressive Frequency Learning and Degradation-aware Prompts CVPR 2025

Pursuing Temporal-Consistent Video Virtual Try-On via Dynamic Pose Interaction CVPR 2025

CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification CVPR 2025

CatmullRom Splines-Based Regression for Image Forgery Localization AAAI 2024

An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning NIPS 2024

FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making NIPS 2024

iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 2024

Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces AAAI 2024

UPDP: A Unified Progressive Depth Pruner for CNN and Vision Transformer AAAI 2024

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems AAAI 2024

SMR: State Memory Replay for Long Sequence Modeling ACL 2024

QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion NIPS 2024

DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024

Interactive Continual Learning: Fast and Slow Thinking CVPR 2024

HomoFormer: Homogenized Transformer for Image Shadow Removal CVPR 2024

Improving Unsupervised Hierarchical Representation with Reinforcement Learning CVPR 2024

Noise-assisted Prompt Learning for Image Forgery Detection and Localization ECCV 2024

Scaling Laws for Linear Complexity Language Models EMNLP 2024

DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models EMNLP 2024

FinBen: A Holistic Financial Benchmark for Large Language Models NIPS 2024

Sample-Efficient Quality-Diversity by Cooperative Coevolution ICLR 2024

CO2: Efficient Distributed Training with Full Communication-Computation Overlap ICLR 2024

HarmonyDream: Task Harmonization Inside World Models ICML 2024

Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention ICML 2024

Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module ICML 2024

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy IJCAI 2024

Supervised Algorithmic Fairness in Distribution Shifts: A Survey IJCAI 2024

Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023

Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023

Toeplitz Neural Network for Sequence Modeling ICLR 2023

Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability NIPS 2023

Fine-Grained Audible Video Description CVPR 2023

Edge-Aware Regional Message Passing Controller for Image Forgery Localization CVPR 2023

FDViT: Improve the Hierarchical Architecture of Vision Transformer ICCV 2023

Learning State Representations via Retracing in Reinforcement Learning ICLR 2022

Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification CVPR 2022

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View COLING 2022

Versatile Multi-stage Graph Neural Network for Circuit Representation NIPS 2022

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022

Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving AAAI 2022

Neuro-Symbolic Hierarchical Rule Induction ICML 2022

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning ICML 2022

Dynamic Sparse R-CNN CVPR 2022

Towards Discriminative Representation Learning for Unsupervised Person Re-Identification ICCV 2021

An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021

Adaptive Online Packing-guided Search for POMDPs NIPS 2021

On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021

LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021

Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021

Representing Videos As Discriminative Sub-Graphs for Action Recognition CVPR 2021

RankDetNet: Delving Into Ranking Constraints for Object Detection CVPR 2021

Improving Low-Precision Network Quantization via Bin Regularization ICCV 2021

HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory NIPS 2020

ProgressFace: Scale-Aware Progressive Learning for Face Detection ECCV 2020

Dual Super-Resolution Learning for Semantic Segmentation CVPR 2020

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020

Recurrent Tubelet Proposal and Recognition Networks for Action Detection ECCV 2018

Weakly Supervised Object Localization With Progressive Domain Adaptation CVPR 2016