Rui Song

50 papers · 2016–2026 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🏃 Academic Marathon (9) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (12) 🤝 Dynamic Duo (13) 👑 Triple Crown 🏆 Grand Slam 🏆 Keyword Champion (2) 💎 Century Club (49) ⚡ Prolific Year (14) 📈 Trend Setter 🗃️ Keyword Collector (240) 🔥 Unstoppable (10)

Conferences

ICML (12) CVPR (10) JMLR (6) AAAI (5) EMNLP (4) NIPS (4) ICCV (3) ACL (2) AISTATS (1) ICLR (1) IJCAI (1) NAACL (1)

Top co-authors

Wenbin Lu (13) Chengchun Shi (9) Runzhe Wan (8) Hao Xu (7) Hengrui Cai (6) Yinlin Hu (6) Lida Shi (4) Jiaojiao Li (4) Lin Ge (3) Walter Zimmer (3)

Research topics

Robotics (1) Applications (1) Statistics (1)

Keywords

causal inference (7) off-policy evaluation (3) reinforcement learning (3) object pose estimation (3) multi-armed bandit (3) optical flow (3) online experiment (3) representation learning (3) attention mechanism (3) autonomous driving (3) sequential testing (2) structural learning (2) thompson sampling (2) 3d reconstruction (2) 3d vision (2) online learning (2) direct preference optimization (2) sequential decision making (2) text classification (2) motion estimation (2)

Papers

AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora AAAI 2026

Zero-Inflated Bandits 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

A Dual-Mind Framework for Strategic and Expressive Negotiation Agent ACL 2025

Off-Policy Evaluation under Nonignorable Missing Data ICML 2025

CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving ICCV 2025

Linear Contextual Bandits With Interference ICML 2025

Data-Centric Explainable Debiasing for Improving Fairness in Pre-trained Language Models ACL 2024

TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification AAAI 2024

Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles CVPR 2024

TUMTraf V2X Cooperative Perception Dataset CVPR 2024

Online Posterior Sampling with a Diffusion Prior NIPS 2024

Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches AAAI 2024

Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024

An Instrumental Variable Approach to Confounded Off-Policy Evaluation ICML 2023

On Learning Necessary and Sufficient Causal Graphs NIPS 2023

Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework AISTATS 2023

Shape-Constraint Recurrent Flow for 6D Object Pose Estimation CVPR 2023

FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023

Efficient Hierarchical Entropy Model for Learned Point Cloud Compression CVPR 2023

Rigidity-Aware Detection for 6D Object Pose Estimation CVPR 2023

V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception CVPR 2023

Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation ICCV 2023

A Reinforcement Learning Framework for Dynamic Mediation Analysis ICML 2023

Multiplier Bootstrap-based Exploration ICML 2023

On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs ICML 2023

Jump Interval-Learning for Individualized Decision Making with Continuous Treatments JMLR 2023

Distributed Community Detection in Large Networks JMLR 2023

Federated Multi-Task Attention for Cross-Individual Human Activity Recognition IJCAI 2022

Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022

A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction EMNLP 2022

Safe Exploration for Efficient Policy Evaluation and Comparison ICML 2022

OctAttention: Octree-Based Large-Scale Contexts Model for Point Cloud Compression AAAI 2022

ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning ICLR 2021

Deeply-Debiased Off-Policy Interval Estimation ICML 2021

An Online Sequential Test for Qualitative Treatment Effects JMLR 2021

Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models NIPS 2021

Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings NIPS 2021

On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies ICML 2020

A New Framework for Online Testing of Heterogeneous Treatment Effect AAAI 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

Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes JMLR 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