Haoran Xu

READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation AAAI 2026 Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion AAAI 2026 BulletTime4D: Towards High Spatio-Temporal Resolution Dynamic Scene Rendering via Spike-Guided Stereo Vision AAAI 2026 SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement AAAI 2026 Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors AAAI 2026 COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control AAAI 2026 Federated Learning with Sample-level Client Drift Mitigation AAAI 2025 iMOVE : Instance-Motion-Aware Video Understanding ACL 2025 Streaming Sequence Transduction through Dynamic Compression ACL 2025 MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025 Adapters for Altering LLM Vocabularies: What Languages Benefit the Most? ICLR 2025 The Belief State Transformer ICLR 2025 X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale ICLR 2025 Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models ICLR 2025 Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction AAAI 2025 CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction COLING 2025 SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes CVPR 2025 PEACE: Empowering Geologic Map Holistic Understanding with MLLMs CVPR 2025 VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning CVPR 2025 Learning Production-Optimized Congestion Control Selection for Alibaba Cloud CDN NSDI 2025 Upsample or Upweight? Balanced Training on Heavily Imbalanced Datasets NAACL 2025 An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning ICLR 2025 Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion ICCV 2025 A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models ICLR 2024 Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning NIPS 2024 Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models ICLR 2024 Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles NAACL 2024 JHU IWSLT 2024 Dialectal and Low-resource System Description ACL 2024 FairDiff: Fair Segmentation with Point-Image Diffusion MICCAI 2024 DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning CVPR 2024 Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction CVPR 2024 Contrastive Preference Optimization: Pushing the Boundaries of LLM Performance in Machine Translation ICML 2024 ODICE: Revealing the Mystery of Distribution Correction Estimation via Orthogonal-gradient Update ICLR 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual Contexts ACL 2024 Condensing Multilingual Knowledge with Lightweight Language-Specific Modules EMNLP 2023 Hierarchical Adaptive Value Estimation for Multi-modal Visual Reinforcement Learning NIPS 2023 Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization NIPS 2023 Language-Aware Multilingual Machine Translation with Self-Supervised Learning EACL 2023 Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity EMNLP 2023 Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning ICCV 2023 When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning ICLR 2023 Mind the Gap: Offline Policy Optimization for Imperfect Rewards ICLR 2023 Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization ICLR 2023 A Policy-Guided Imitation Approach for Offline Reinforcement Learning NIPS 2022 Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations ICML 2022 The Importance of Being Parameters: An Intra-Distillation Method for Serious Gains EMNLP 2022 Model-Based Offline Planning with Trajectory Pruning IJCAI 2022 Por Qué Não Utiliser Alla Språk? Mixed Training with Gradient Optimization in Few-Shot Cross-Lingual Transfer NAACL 2022 Constraints Penalized Q-learning for Safe Offline Reinforcement Learning AAAI 2022 DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning AAAI 2022 Discriminator-Guided Model-Based Offline Imitation Learning CORL 2022 BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation EMNLP 2021 Zero-Shot Cross-Lingual Dependency Parsing through Contextual Embedding Transformation EACL 2021 Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction EMNLP 2021 Gradual Fine-Tuning for Low-Resource Domain Adaptation EACL 2021 Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning AAAI 2021 Adaptive Bridge between Training and Inference for Dialogue Generation EMNLP 2021 Meet Changes with Constancy: Learning Invariance in Multi-Source Translation COLING 2020