Rui Song
52 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (12) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Academic Marathon (9)
π§
Keyword Pioneer
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(12)
π€
Dynamic Duo
(13)
π
Triple Crown
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Grand Slam
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Keyword Champion
(2)
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Century Club
(49)
β‘
Prolific Year
(14)
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Trend Setter
ποΈ
Keyword Collector
(240)
π₯
Unstoppable
(10)
Conferences
ICML (12)
CVPR (10)
JMLR (6)
AAAI (5)
ACL (4)
EMNLP (4)
NIPS (4)
ICCV (3)
AISTATS (1)
ICLR (1)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
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
Enhancing Multimodal Large Language Models for Ancient Chinese Character Evolution Analysis via Glyph-Driven Fine-Tuning
ACL 2026
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
ACL 2026
Zero-Inflated Bandits
ICML 2025
A Dual-Mind Framework for Strategic and Expressive Negotiation Agent
ACL 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
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving
ICCV 2025
Off-Policy Evaluation under Nonignorable Missing Data
ICML 2025
Linear Contextual Bandits With Interference
ICML 2025
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness
EMNLP 2024
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
Online Posterior Sampling with a Diffusion Prior
NIPS 2024
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification
AAAI 2024
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
AAAI 2024
TUMTraf V2X Cooperative Perception Dataset
CVPR 2024
V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception
CVPR 2023
Distributed Community Detection in Large Networks
JMLR 2023
Jump Interval-Learning for Individualized Decision Making with Continuous Treatments
JMLR 2023
Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation
ICCV 2023
Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework
AISTATS 2023
On Learning Necessary and Sufficient Causal Graphs
NIPS 2023
On Heterogeneous Treatment Effects in Heterogeneous Causal Graphs
ICML 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
ICML 2023
Multiplier Bootstrap-based Exploration
ICML 2023
Shape-Constraint Recurrent Flow for 6D Object Pose Estimation
CVPR 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 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
Federated Multi-Task Attention for Cross-Individual Human Activity Recognition
IJCAI 2022
A Simple Contrastive Learning Framework for Interactive Argument Pair Identification via Argument-Context Extraction
EMNLP 2022
Locally Aggregated Feature Attribution on Natural Language Model Understanding
NAACL 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
Deep Jump Learning for Off-Policy Evaluation in Continuous Treatment Settings
NIPS 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
NIPS 2021
Breaking the Curse of Nonregularity with Subagging --- Inference of the Mean Outcome under Optimal Treatment Regimes
JMLR 2020
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
ICML 2020
On Validation and Planning of An Optimal Decision Rule with Application in Healthcare Studies
ICML 2020
Causal Effect Estimation and Optimal Dose Suggestions in Mobile Health
ICML 2020
A New Framework for Online Testing of Heterogeneous Treatment Effect
AAAI 2020
Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning
EMNLP 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