Tianyu Li
27 papers · 2017–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (8) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (11) π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(47)
π
Grand Slam
π§¬
Topic Evolution
π
Century Club
(25)
ποΈ
Keyword Collector
(105)
β‘
Prolific Year
(11)
Conferences
AAAI (3)
AISTATS (3)
CORL (3)
ECCV (3)
ICCV (3)
ICLR (3)
NIPS (3)
CVPR (2)
RSS (2)
ACL (1)
ICML (1)
Top co-authors
Keywords
spectral learning
(3)
autonomous driving
(3)
mirror detection
(2)
semantic segmentation
(2)
reinforcement learning
(2)
diffusion model
(2)
sample efficiency
(1)
prototype learning
(1)
contrastive learning
(1)
motion synthesis
(1)
self-attention mechanism
(1)
video prediction
(1)
preference learning
(1)
weakly supervised learning
(1)
zero-shot learning
(1)
multimodal learning
(1)
prompt engineering
(1)
policy evaluation
(1)
temporal reasoning
(1)
data augmentation
(1)
Papers
Vision Transformers Are Circulant Attention Learners
AAAI 2026
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
AAAI 2026
Decoupled Diffusion Sparks Adaptive Scene Generation
ICCV 2025
Pseudo-Simulation for Autonomous Driving
CORL 2025
Implicit Counterfactual Learning for Audio-Visual Segmentation
ICCV 2025
GraphGPT: Generative Pre-trained Graph Eulerian Transformer
ICML 2025
GAPO: Learning Preferential Prompt through Generative Adversarial Policy Optimization
ACL 2025
Language Guided Skill Discovery
ICLR 2025
Fully Sparse 3D Occupancy Prediction
ECCV 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
NIPS 2024
Physics-Constrained Comprehensive Optical Neural Networks
NIPS 2024
Weakly-Supervised Mirror Detection via Scribble Annotations
AAAI 2024
Generalized Predictive Model for Autonomous Driving
CVPR 2024
AAMDM: Accelerated Auto-regressive Motion Diffusion Model
CVPR 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning
ECCV 2024
Embodied Understanding of Driving Scenarios
ECCV 2024
CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning
ICLR 2024
LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
ICLR 2024
Constraint-Aware Intent Estimation for Dynamic Human-Robot Object Co-Manipulation
RSS 2024
Learning and Adapting Agile Locomotion Skills by Transferring Experience
RSS 2023
Task Generalization with Stability Guarantees via Elastic Dynamical System Motion Policies
CORL 2023
OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping
NIPS 2023
Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning
AISTATS 2020
Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning
AISTATS 2019
Bayesian Optimization in Variational Latent Spaces with Dynamic Compression
CORL 2019
Nonlinear Weighted Finite Automata
AISTATS 2018
Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis
ICCV 2017