Dong Li

FreeInpaint: Tuning-free Prompt Alignment and Visual Rationality Enhancement in Image Inpainting AAAI 2026 Uncertainty-Aware Test-Time Search for Optimization Problem Solving ACL 2026 Theory-optimal Quantization Based on Flatness ACL 2026 MoEC: A Memory-Routed Mixture-of-Experts Controller for Adaptive Minecraft Control ACL 2026 DeepGuard: Secure Code Generation via Multi-Layer Semantic Aggregation ACL 2026 GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning 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 Learnable Permutation for Structured Sparsity on Transformer Models AAAI 2026 MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery AAAI 2026 DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation AAAI 2026 Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models AAAI 2026 CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning AAAI 2026 CompEvent: Complex-valued Event-RGB Fusion for Low-light Video Enhancement and Deblurring AAAI 2026 Enhanced Pansharpening via Quaternion Spatial-Spectral Interactions ICCV 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 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 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 Less is More: Efficient Model Merging with Binary Task Switch CVPR 2025 Superpose Task-specific Features for Model Merging EMNLP 2025 KELE: A Multi-Agent Framework for Structured Socratic Teaching with Large Language Models EMNLP 2025 FreeDNA: Endowing Domain Adaptation of Diffusion-Based Dense Prediction with Training-Free Domain Noise Alignment ICCV 2025 Decouple to Reconstruct: High Quality UHD Restoration via Active Feature Disentanglement and Reversible Fusion ICCV 2025 FourierMamba: Fourier Learning Integration with State Space Models for Image Deraining ICML 2025 Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding ICML 2025 BaWA: Automatic Optimizing Pruning Metric for Large Language Models with Balanced Weight and Activation ICML 2025 FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models IJCAI 2025 Learnable Frequency Decomposition for Image Forgery Detection and Localization IJCAI 2025 PanComplex: Leveraging Complex-Valued Neural Networks for Enhanced Pansharpening IJCAI 2025 CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness IJCAI 2025 Reinforced In-Context Black-Box Optimization IJCAI 2025 From Sparse to Dense Functional Data in High Dimensions: Revisiting Phase Transitions from a Non-Asymptotic Perspective JMLR 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 An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning 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 iVideoGPT: Interactive VideoGPTs are Scalable World Models NIPS 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 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 CatmullRom Splines-Based Regression for Image Forgery Localization AAAI 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 Various Lengths, Constant Speed: Efficient Language Modeling with Lightning Attention ICML 2024 Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module ICML 2024 FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making NIPS 2024 SMR: State Memory Replay for Long Sequence Modeling ACL 2024 FinBen: A Holistic Financial Benchmark for Large Language Models NIPS 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 DiP-GO: A Diffusion Pruner via Few-step Gradient Optimization NIPS 2024 QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion NIPS 2024 Towards Reliable Item Sampling for Recommendation Evaluation AAAI 2023 Fine-Grained Audible Video Description CVPR 2023 FDViT: Improve the Hierarchical Architecture of Vision Transformer ICCV 2023 Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability NIPS 2023 Reining Generalization in Offline Reinforcement Learning via Representation Distinction NIPS 2023 Boosting Multiagent Reinforcement Learning via Permutation Invariant and Permutation Equivariant Networks ICLR 2023 Edge-Aware Regional Message Passing Controller for Image Forgery Localization CVPR 2023 Toeplitz Neural Network for Sequence Modeling ICLR 2023 Dynamic Sparse R-CNN CVPR 2022 Neuro-Symbolic Hierarchical Rule Induction ICML 2022 Learning Pseudometric-based Action Representations for Offline Reinforcement Learning ICML 2022 Cross-Dataset Collaborative Learning for Semantic Segmentation in Autonomous Driving AAAI 2022 What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator AAAI 2022 Versatile Multi-stage Graph Neural Network for Circuit Representation NIPS 2022 Multi-Document Scientific Summarization from a Knowledge Graph-Centric View COLING 2022 Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification CVPR 2022 Learning State Representations via Retracing in Reinforcement Learning ICLR 2022 On Estimating Recommendation Evaluation Metrics under Sampling AAAI 2021 LB-DESPOT: Efficient Online POMDP Planning Considering Lower Bound in Action Selection (Student Abstract) AAAI 2021 Representing Videos As Discriminative Sub-Graphs for Action Recognition CVPR 2021 Adaptive Online Packing-guided Search for POMDPs NIPS 2021 An Efficient Transfer Learning Framework for Multiagent Reinforcement Learning NIPS 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Improving Low-Precision Network Quantization via Bin Regularization ICCV 2021 Towards Discriminative Representation Learning for Unsupervised Person Re-Identification ICCV 2021 RankDetNet: Delving Into Ranking Constraints for Object Detection CVPR 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via An Efficient Task Encoder (Student Abstract) AAAI 2021 ProgressFace: Scale-Aware Progressive Learning for Face Detection ECCV 2020 Dual Super-Resolution Learning for Semantic Segmentation CVPR 2020 HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory NIPS 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