Chengtao Li
15 papers · 2014–2022 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Unstoppable Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(11)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Core Methods
(4)
Architectures
(3)
Mathematics
(3)
Core AI
(2)
Learning Types
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Application Areas
(1)
Keywords
determinantal point process
(5)
graph neural network
(3)
gibbs sampling
(2)
drug discovery
(2)
markov chain monte carlo
(2)
bayesian inference
(1)
nonparametric bayesian
(1)
representation learning
(1)
knowledge distillation
(1)
graph representation learning
(1)
data augmentation
(1)
volume sampling
(1)
point cloud
(1)
3d vision
(1)
multi-task learning
(1)
gaussian process
(1)
object detection
(1)
best-first search
(1)
kernel learning
(1)
scene understanding
(1)
Papers
TANKBind: Trigonometry-Aware Neural NetworKs for Drug-Protein Binding Structure Prediction
NeurIPS 2022
Molecule Optimization by Explainable Evolution
ICLR 2021
Group Contextual Encoding for 3D Point Clouds
NeurIPS 2020
Retro*: Learning Retrosynthetic Planning with Neural Guided A* Search
ICML 2020
Retrosynthesis Prediction with Conditional Graph Logic Network
NeurIPS 2019
Improving Sequential Determinantal Point Processes for Supervised Video Summarization
ECCV 2018
Representation Learning on Graphs with Jumping Knowledge Networks
ICML 2018
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
ICML 2017
Polynomial time algorithms for dual volume sampling
NeurIPS 2017
Efficient Sampling for k-Determinantal Point Processes
AISTATS 2016
Fast DPP Sampling for Nystrom with Application to Kernel Methods
ICML 2016
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling
NeurIPS 2016
Gaussian quadrature for matrix inverse forms with applications
ICML 2016
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing
NAACL 2015
Bayesian Max-margin Multi-Task Learning with Data Augmentation
ICML 2014