Hao Sun

Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval AAAI 2026 Curriculum Group Policy Optimization: Adaptive Sampling for Unleashing the Potential of Text-to-Image Generation CVPR 2026 Differentiable Sparse Identification of Lagrangian Dynamics AAAI 2026 Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing AAAI 2026 Intra-class Distribution-guided Generative Hashing with Neighbor Refinement for Cross-modal Retrieval CVPR 2026 L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention AAAI 2026 MIRTH: Mutual-Information Reasoning with Temporal Hubs for Vision-Language-Action Agents ACL 2026 Mitigating Error Accumulation in Knowledge Editing for Multi-Hop Question Answering AAAI 2026 PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics AAAI 2026 Stabilizing Feature Geometry in Noisy Pretrained Models for Robust Downstream Tasks CVPR 2026 TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding AAAI 2026 Active Reward Modeling: Adaptive Preference Labeling for Large Language Model Alignment ICML 2025 Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval EMNLP 2025 A Token-level Text Image Foundation Model for Document Understanding ICCV 2025 Chain of Semantics Programming in 3D Gaussian Splatting Representation for 3D Vision Grounding CVPR 2025 CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion ICLR 2025 DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling EMNLP 2025 Enhancing Retrieval-Augmented Generation via Evidence Tree Search ACL 2025 EyEar: Learning Audio Synchronized Human Gaze Trajectory Based on Physics-Informed Dynamics AAAI 2025 GeAR: Generation Augmented Retrieval ACL 2025 Heuristic-based Search Algorithm in Automatic Instruction-focused Prompt Optimization: A Survey ACL 2025 HHAN: Comprehensive Infectious Disease Source Tracing via Heterogeneous Hypergraph Neural Network AAAI 2025 High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer WACV 2025 Inverse Reinforcement Learning Meets Large Language Model Alignment ACL 2025 Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions EMNLP 2025 MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025 MDAA-Diff: CT-Guided Multi-Dose Adaptive Attention Diffusion Model for PET Denoising MICCAI 2025 MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025 Multimodal Large Language Models for Text-rich Image Understanding: A Comprehensive Review ACL 2025 MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation ICML 2025 PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization NAACL 2025 PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems IJCAI 2025 PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems ICLR 2025 PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows ICLR 2025 Rethinking Diverse Human Preference Learning through Principal Component Analysis ACL 2025 Rethinking Reward Modeling in Preference-based Large Language Model Alignment ICLR 2025 SEE: Strategic Exploration and Exploitation for Cohesive In-Context Prompt Optimization ACL 2025 Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning MICCAI 2025 SpotActor: Training-Free Layout-Controlled Consistent Image Generation AAAI 2025 The Synergy of LLMs & RL Unlocks Offline Learning of Generalizable Language-Conditioned Policies with Low-fidelity Data ICML 2025 Token-level Proximal Policy Optimization for Query Generation EMNLP 2025 Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification AAAI 2025 Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning ACL 2025 Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval ACL 2025 Accelerating Non-Maximum Suppression: A Graph Theory Perspective NeurIPS 2024 AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning EMNLP 2024 Cross-model Control: Improving Multiple Large Language Models in One-time Training NeurIPS 2024 Dense Reward for Free in Reinforcement Learning from Human Feedback ICML 2024 HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024 IRGen: Generative Modeling for Image Retrieval ECCV 2024 LGA: A Language Guide Adapter for Advancing the SAM Model’s Capabilities in Medical Image Segmentation MICCAI 2024 LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes CVPR 2024 Long Context is Not Long at All: A Prospector of Long-Dependency Data for Large Language Models ACL 2024 OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance NeurIPS 2024 Over-parameterized Student Model via Tensor Decomposition Boosted Knowledge Distillation NeurIPS 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024 Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL ICLR 2024 Reinforcement Symbolic Regression Machine ICLR 2024 Retrieved In-Context Principles from Previous Mistakes EMNLP 2024 Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking ACL 2024 SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection AAAI 2024 Se2: Sequential Example Selection for In-Context Learning ACL 2024 ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors EMNLP 2024 Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024 TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection AAAI 2024 Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding ACL 2024 Validating the eBPF Verifier via State Embedding OSDI 2024 Vision-based Discovery of Nonlinear Dynamics for 3D Moving Target IJCAI 2024 Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples NeurIPS 2023 A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NeurIPS 2023 Allies: Prompting Large Language Model with Beam Search EMNLP 2023 Character-Level Chinese Backpack Language Models EMNLP 2023 History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling ACL 2023 InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning EMNLP 2023 Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023 Model-enhanced Vector Index NeurIPS 2023 MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions ACL 2023 Neural Laplace Control for Continuous-time Delayed Systems AISTATS 2023 PAL: Persona-Augmented Emotional Support Conversation Generation ACL 2023 Stare at What You See: Masked Image Modeling Without Reconstruction CVPR 2023 Symbolic Physics Learner: Discovering governing equations via Monte Carlo tree search ICLR 2023 To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023 Unveiling the Implicit Toxicity in Large Language Models EMNLP 2023 UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation EMNLP 2023 VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching ICCV 2023 What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization NeurIPS 2023 A Neural Corpus Indexer for Document Retrieval NeurIPS 2022 Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty NeurIPS 2022 COLD: A Benchmark for Chinese Offensive Language Detection EMNLP 2022 Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation EMNLP 2022 Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning ICLR 2022 Distilling Governing Laws and Source Input for Dynamical Systems from Videos IJCAI 2022 Enhancing Self-Attention with Knowledge-Assisted Attention Maps NAACL 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping NeurIPS 2022 HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022 Information Bottlenecked Variational Autoencoder for Disentangled 3D Facial Expression Modelling WACV 2022 On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark ACL 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL ICLR 2022 Snapshot-Guided Domain Adaptation for ELECTRA EMNLP 2022 Knowledge Refinery: Learning from Decoupled Label AAAI 2021 Physics-informed Spline Learning for Nonlinear Dynamics Discovery IJCAI 2021 PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support ACL 2021 Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020 MultiSpeech: Multi-Speaker Text to Speech with Transformer Interspeech 2020 Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design CoRL 2020 Reciprocal Learning Networks for Human Trajectory Prediction CVPR 2020 Policy Continuation with Hindsight Inverse Dynamics NeurIPS 2019 Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion Interspeech 2019