ting li
13 papers · 2019–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
ποΈ
Keyword Collector
(77)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Renaissance Researcher
(8)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(6)
Core Methods
(5)
Learning Paradigms
(4)
Computer Vision
(3)
Data Science & Analytics
(3)
Deep Learning
(3)
Application Areas
(3)
Learning Types
(3)
Optimization & Theory
(3)
Knowledge & Reasoning
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Analysis
(2)
Core AI
(2)
Keywords
graph neural network
(3)
conformal prediction
(2)
sequential decision making
(2)
representation learning
(1)
policy evaluation
(1)
off-policy evaluation
(1)
reinforcement learning
(1)
transfer learning
(1)
pose estimation
(1)
privacy preserving
(1)
attention mechanism
(1)
question answering
(1)
community detection
(1)
semantic knowledge
(1)
markov decision process
(1)
3d reconstruction
(1)
kullback-leibler divergence
(1)
graph embedding
(1)
time series forecasting
(1)
causal inference
(1)
Papers
Transfer Conformal Predictive Inference for Regression
JMLR 2026
Two-way Node Popularity Model for Directed and Bipartite Networks
JMLR 2026
Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference
ICML 2025
EasyRet3D: Uncalibrated Multi-View Multi-Human 3D Reconstruction and Tracking
WACV 2025
Knowledge-Augmented Question Error Correction for Chinese Question Answer System with QuestionRAG
EMNLP 2025
Online Differentially Private Conformal Prediction for Uncertainty Quantification
ICML 2025
Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection
CVPR 2025
Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models
ICML 2024
Combining Experimental and Historical Data for Policy Evaluation
ICML 2024
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
NeurIPS 2023
Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making
NeurIPS 2023
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
IJCAI 2022
Joint Representation Learning for Multi-Modal Transportation Recommendation
AAAI 2019