YIXUAN ZHANG
25 papers · 2020–2026 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (12) 🐝 Cross-Pollinator (5)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(5)
🌍
Conference Polyglot
(12)
🏆
Grand Slam
🤝
Dynamic Duo
(10)
👥
Mega-Team
(71)
🔥
Unstoppable
(6)
💎
Century Club
(23)
⚡
Prolific Year
(9)
🗃️
Keyword Collector
(109)
Conferences
ICML (5)
AAAI (4)
INTERSPEECH (3)
NIPS (3)
CVPR (2)
ICLR (2)
ACL (1)
ACML (1)
AISTATS (1)
EMNLP (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
label bia
(4)
bayesian inference
(2)
data selection
(2)
semantic segmentation
(2)
point process
(2)
generative adversarial network
(2)
variational inference
(2)
deep kernel
(2)
image generation
(1)
hyperparameter optimization
(1)
few-shot learning
(1)
data augmentation
(1)
in-context learning
(1)
voice conversion
(1)
zero-shot learning
(1)
sparse coding
(1)
automatic speech recognition
(1)
benchmark evaluation
(1)
image translation
(1)
expectation maximization
(1)
Papers
Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement
AAAI 2026
Fair Bayesian Data Selection via Generalized Discrepancy Measures
AAAI 2026
Causal Representation Learning from Multimodal Biomedical Observations
ICLR 2025
Navigating Towards Fairness with Data Selection
AAAI 2025
Under the Shadow of Babel: How Language Shapes Reasoning in LLMs
EMNLP 2025
NAT: Enhancing Agent Tuning with Negative Samples
NAACL 2025
CMMLU: Measuring massive multitask language understanding in Chinese
ACL 2024
Nonstationary Sparse Spectral Permanental Process
NIPS 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
ICML 2024
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
ICML 2024
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
ICML 2024
Neural Network Augmented Kalman Filter for Robust Acoustic Howling Suppression
INTERSPEECH 2024
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning
AAAI 2024
The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize
NIPS 2024
Fair Representation Learning with Unreliable Labels
AISTATS 2023
Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes
NIPS 2023
Densely-connected Convolutional Recurrent Network for Fundamental Frequency Estimation in Noisy Speech
INTERSPEECH 2022
Efficient Inference for Dynamic Flexible Interactions of Neural Populations
JMLR 2022
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training
ICML 2022
Mitigating bias against non-native accents
INTERSPEECH 2022
Efficient Inference of Flexible Interaction in Spiking-neuron Networks
ICLR 2021
Bias-tolerant Fair Classification
ACML 2021
Fashion Editing With Adversarial Parsing Learning
CVPR 2020
Fine-Grained Image-to-Image Transformation Towards Visual Recognition
CVPR 2020