Xiang Cheng
28 papers · 2016–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Xiang Cheng?
6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Suvrit Sra, Kwangjun Ahn, Jingzhao Zhang
8 papers
· 2021–2025
· NeurIPS, ICLR, ICML
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Graph Transformers Dream of Electric Flow
ICLR 2025
On Understanding Attention-Based In-Context Learning for Categorical Data
ICML 2025
Linear attention is (maybe) all you need (to understand Transformer optimization)
ICLR 2024
Transformers Implement Functional Gradient Descent to Learn Non-Linear Functions In Context
ICML 2024
Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions
NeurIPS 2023
Transformers learn to implement preconditioned gradient descent for in-context learning
NeurIPS 2023
Efficient Sampling on Riemannian Manifolds via Langevin MCMC
NeurIPS 2022
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm
COLT 2021
6 papers whose co-authors appear nowhere else under this name
From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework
AAAI 2026
Towards Robust Event-Based Depth Estimation: Bridging Synthetic and Real Domains with Motion Adaptation
AAAI 2026
Principles and Methodologies for Serial Performance Optimization
OSDI 2025
Restart Sampling for Improving Generative Processes
NeurIPS 2023
An End-to-End Solution for Named Entity Recognition in eCommerce Search
AAAI 2021
Differentially Private Correlation Alignment for Domain Adaptation
IJCAI 2021