Zhitang Chen
20 papers · 2012–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (39) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Grand Slam
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Century Club Β· Bronze
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Conference Pioneer
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Unstoppable Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(118)
Venues
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Research topics
Machine Learning
(13)
Artificial Intelligence
(11)
Core AI
(9)
Deep Learning
(8)
Optimization & Theory
(7)
Models
(6)
Reinforcement Learning
(4)
Core Methods
(4)
Learning Types
(4)
Methods
(4)
Knowledge & Reasoning
(3)
Application Areas
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Reasoning
(3)
Keywords
causal discovery
(5)
causal inference
(2)
bayesian optimization
(2)
domain generalization
(2)
reinforcement learning
(2)
online learning
(2)
structural causal model
(2)
disentangled representation
(2)
directed acyclic graph
(2)
gaussian process
(2)
maximum mean discrepancy
(2)
weakly supervised learning
(1)
bayesian inference
(1)
feature transformation
(1)
variable selection
(1)
domain adaptation
(1)
hypothesis testing
(1)
variational inference
(1)
robust optimization
(1)
markov decision process
(1)
Papers
AΒ²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators
AAAI 2026
Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation
AAAI 2026
Sampling is as easy as keeping the consistency: convergence guarantee for Consistency Models
ICML 2024
Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
NeurIPS 2023
FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract)
IJCAI 2023
Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network
AAAI 2023
Out-of-Distribution Generalization With Causal Invariant Transformations
CVPR 2022
Para-CFlows: C^k-universal diffeomorphism approximators as superior neural surrogates
NeurIPS 2022
Reframed GES with a neural conditional dependence measure
UAI 2022
Weakly Supervised Disentangled Generative Causal Representation Learning
JMLR 2022
CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
CVPR 2021
Ordering-Based Causal Discovery with Reinforcement Learning
IJCAI 2021
Causal Discovery with Reinforcement Learning
ICLR 2020
Domain Generalization via Multidomain Discriminant Analysis
UAI 2019
Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit
AISTATS 2019
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
NeurIPS 2018
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
ICML 2018
Online Algorithms for Sum-Product Networks with Continuous Variables
PGM 2016
Online Relative Entropy Policy Search using Reproducing Kernel Hilbert Space Embeddings
AISTATS 2016
Causal discovery with scale-mixture model for spatiotemporal variance dependencies
NeurIPS 2012