Yao Li
31 papers · 2011–2026 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π Academic Marathon (14) π Cross-Pollinator (10) π§ Keyword Pioneer π Conference Polyglot (9) π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(80)
π§¬
Topic Evolution
π
Keyword Champion
π±
Topic Pioneer
π₯
Mega-Team
(30)
ποΈ
Keyword Collector
(158)
π
Trend Setter
π₯
Unstoppable
(9)
π
Conference Pioneer
β‘
Prolific Year
(6)
π
Century Club
(27)
Conferences
NIPS (9)
CVPR (6)
ICCV (3)
AAAI (2)
EMNLP (2)
ICLR (2)
IJCAI (2)
ACL (1)
AISTATS (1)
CONLL (1)
EACL (1)
ECCV (1)
Top co-authors
Keywords
knowledge distillation
(2)
adversarial learning
(2)
3d object detection
(2)
autonomous driving
(2)
adversarial robustness
(2)
model compression
(2)
distributed learning
(2)
communication efficiency
(2)
gradient compression
(2)
bird's eye view
(2)
mathematical reasoning
(1)
collaborative filtering
(1)
probabilistic inference
(1)
attention mechanism
(1)
stochastic optimization
(1)
density estimation
(1)
multimodal learning
(1)
text classification
(1)
stochastic gradient descent
(1)
chain-of-thought reasoning
(1)
Papers
SymCode: A Neurosymbolic Approach to Mathematical Reasoning via Verifiable Code Generation
EACL 2026
MessToClean: Evidence-Grounded Structure-Preserving Reconstruction for Real-World Degraded Exam Paper Images
ACL 2026
Letβs Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
AAAI 2026
Quantum Lipschitz Bandits
AAAI 2026
Counterfactual Knowledge Maintenance for Unsupervised Domain Adaptation
IJCAI 2025
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
EMNLP 2025
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NIPS 2024
SciCode: A Research Coding Benchmark Curated by Scientists
NIPS 2024
AdaDiff: Accelerating Diffusion Models through Step-Wise Adaptive Computation
ECCV 2024
Accelerating Dataset Distillation via Model Augmentation
CVPR 2023
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
NIPS 2023
DSR: Dynamical Surface Representation as Implicit Neural Networks for Protein
NIPS 2023
CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
NIPS 2023
You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model
CVPR 2023
Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
CVPR 2023
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation
EMNLP 2022
ErrorCompensatedX: error compensation for variance reduced algorithms
NIPS 2021
Cross-Patch Graph Convolutional Network for Image Denoising
ICCV 2021
Linear Convergent Decentralized Optimization with Compression
ICLR 2021
Towards Robustness of Deep Neural Networks via Regularization
ICCV 2021
A Double Residual Compression Algorithm for Efficient Distributed Learning
AISTATS 2020
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
ICLR 2019
Learning from Group Comparisons: Exploiting Higher Order Interactions
NIPS 2018
Scalable Demand-Aware Recommendation
NIPS 2017
Deep Descriptor Transforming for Image Co-Localization
IJCAI 2017
Attend in Groups: A Weakly-Supervised Deep Learning Framework for Learning From Web Data
CVPR 2017
Sequential Person Recognition in Photo Albums With a Recurrent Network
CVPR 2017
Mid-Level Deep Pattern Mining
CVPR 2015
Iterative Neural Autoregressive Distribution Estimator NADE-k
NIPS 2014
Contextual Hypergraph Modeling for Salient Object Detection
ICCV 2013
Combining Syntactic and Semantic Features by SVM for Unrestricted Coreference Resolution
CONLL 2011