Rui Song

AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora AAAI 2026 Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning ACL 2026 Exploring 6D Object Pose Estimation with Deformation CVPR 2026 OccuFly: A 3D Vision Benchmark for Semantic Scene Completion from the Aerial Perspective CVPR 2026 SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving CVPR 2026 Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026 A Dual-Mind Framework for Strategic and Expressive Negotiation Agent ACL 2025 CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving ICCV 2025 Linear Contextual Bandits With Interference ICML 2025 Off-Policy Evaluation under Nonignorable Missing Data ICML 2025 SCFlow2: Plug-and-Play Object Pose Refiner with Shape-Constraint Scene Flow CVPR 2025 TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes ICCV 2025 Zero-Inflated Bandits ICML 2025 Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles CVPR 2024 Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024 Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024 Online Posterior Sampling with a Diffusion Prior NeurIPS 2024 Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024 TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification AAAI 2024 TUMTraf V2X Cooperative Perception Dataset CVPR 2024 An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023 A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023 Distributed Community Detection in Large Networks JMLR 2023 Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 Jump Interval-Learning for Individualized Decision Making with Continuous Treatments JMLR 2023 Multiplier Bootstrap-based Exploration ICML 2023 On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs ICML 2023 On Learning Necessary and Sufficient Causal Graphs NeurIPS 2023 Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation ICCV 2023 Rigidity-Aware Detection for 6D Object Pose Estimation CVPR 2023 Shape-Constraint Recurrent Flow for 6D Object Pose Estimation CVPR 2023 Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023 V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception CVPR 2023 A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction EMNLP 2022 Federated Multi-Task Attention for Cross-Individual Human Activity Recognition IJCAI 2022 Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022 OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression AAAI 2022 Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022 ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning ICLR 2021 An Online Sequential Test for Qualitative Treatment Effects JMLR 2021 Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings NeurIPS 2021 Deeply-Debiased Off-Policy Interval Estimation ICML 2021 Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NeurIPS 2021 A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 2020 Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes JMLR 2020 Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health ICML 2020 Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making ICML 2020 Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning EMNLP 2020 On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020 Determining the Number of Latent Factors in Statistical Multi-Relational Learning JMLR 2019 Sparse Concordance-assisted Learning for Optimal Treatment Decision JMLR 2018 The USTC-NEL Speech Translation system at IWSLT 2018 EMNLP 2018 Robust Interpolation of Correspondences for Large Displacement Optical Flow CVPR 2017 Efficient Coarse-To-Fine PatchMatch for Large Displacement Optical Flow CVPR 2016