Yizhe Zhang
91 papers · 2013–2026 · 15 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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(18)
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(8)
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Research topics
Machine Learning
(54)
Deep Learning
(47)
Natural Language Processing
(38)
Learning Types Β· Machine Learning
(32)
Generation
(29)
Learning Types Β· Deep Learning
(27)
Artificial Intelligence
(25)
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(23)
Models
(22)
Computer Vision
(18)
Optimization & Theory
(17)
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(12)
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(11)
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(10)
Domain-Specific
(8)
Keywords
text generation
(16)
language model
(8)
large language model
(7)
diffusion model
(6)
semi-supervised learning
(6)
semantic segmentation
(5)
optimal transport
(5)
deep learning
(5)
response generation
(5)
dialogue system
(5)
sequence generation
(4)
medical image segmentation
(4)
pre-trained language model
(4)
fully convolutional network
(4)
autoregressive model
(4)
language modeling
(4)
generative adversarial network
(4)
image segmentation
(3)
model compression
(3)
reinforcement learning
(3)
Papers
Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation
AAAI 2026
Decoupling Continual Semantic Segmentation
AAAI 2026
Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?
AAAI 2026
SemiGDA: Generative Dual-distribution Alignment for Semi-Supervised Medical Image Segmentation
CVPR 2026
Denoising Autoregressive Transformers for Scalable Text-to-Image Generation
ICLR 2025
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models
ACL 2025
From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation
MICCAI 2025
Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos
MICCAI 2025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains
NAACL 2025
On the Way to LLM Personalization: Learning to Remember User Conversations
ACL 2025
OpenHands: An Open Platform for AI Software Developers as Generalist Agents
ICLR 2025
SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation
EMNLP 2025
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
ICLR 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
ICML 2025
Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation
MICCAI 2025
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
NAACL 2025
Training Software Engineering Agents and Verifiers with SWE-Gym
ICML 2025
Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency
MICCAI 2025
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation
MICCAI 2024
Data-free Distillation of Diffusion Models with Bootstrapping
ICML 2024
Divide-or-Conquer? Which Part Should You Distill Your LLM?
EMNLP 2024
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis
MICCAI 2024
Executable Code Actions Elicit Better LLM Agents
ICML 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling
NeurIPS 2024
Matryoshka Diffusion Models
ICLR 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
Probing the Multi-turn Planning Capabilities of LLMs via 20 Question Games
ACL 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
ACL 2024
TextPolyp: Point-supervised Polyp Segmentation with Text Cues
MICCAI 2024
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation
MICCAI 2024
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation
ICLR 2023
Interactive Text Generation
EMNLP 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model
NeurIPS 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse
ICML 2023
Towards More Efficient Insertion Transformer with Fractional Positional Encoding
EACL 2023
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation
ACL 2022
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation
WACV 2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval
EMNLP 2022
Linearizing Transformer with Key-Value Memory
EMNLP 2022
Perceptual Consistency in Video Segmentation
WACV 2022
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device
CVPR 2022
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling
AAAI 2022
What Makes Good In-Context Examples for GPT-3?
ACL 2022
A Controllable Model of Grounded Response Generation
AAAI 2021
Automatic Document Sketching: Generating Drafts from Analogous Texts
ACL 2021
Contextualized Perturbation for Textual Adversarial Attack
NAACL 2021
Contrastive Multi-document Question Generation
EACL 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization
AAAI 2021
Finetuning Pretrained Transformers into RNNs
EMNLP 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
CVPR 2021
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation
ICLR 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training
AAAI 2020
Complementary Auxiliary Classifiers for Label-Conditional Text Generation
AAAI 2020
Contextual Text Style Transfer
EMNLP 2020
Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task
Interspeech 2020
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
ACL 2020
Dialogue Response Ranking Training with Large-Scale Human Feedback Data
EMNLP 2020
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
ACL 2020
Improving Text Generation with Student-Forcing Optimal Transport
EMNLP 2020
INSET: Sentence Infilling with INter-SEntential Transformer
ACL 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space
EMNLP 2020
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training
EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning
AAAI 2020
Structured Convolutions for Efficient Neural Network Design
NeurIPS 2020
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation
AAAI 2019
Biomedical Image Segmentation via Representative Annotation
AAAI 2019
Domain Adaptive Text Style Transfer
EMNLP 2019
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
EMNLP 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
ICLR 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport
ACL 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation
NAACL 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling
ACL 2019
Second-Order Non-Local Attention Networks for Person Re-Identification
ICCV 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
MIDL 2019
Structuring Latent Spaces for Stylized Response Generation
EMNLP 2019
Towards Coherent and Cohesive Long-form Text Generation
NAACL 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models
ACL 2019
Adversarial Text Generation via Feature-Mover's Distance
NeurIPS 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
ACL 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization
NeurIPS 2018
Joint Embedding of Words and Labels for Text Classification
ACL 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets
ICML 2018
Adversarial Feature Matching for Text Generation
ICML 2017
Deconvolutional Paragraph Representation Learning
NeurIPS 2017
Stochastic Gradient Monomial Gamma Sampler
ICML 2017
Triangle Generative Adversarial Networks
NeurIPS 2017
Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks
IJCAI 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
NeurIPS 2016
Stochastic Gradient MCMC with Stale Gradients
NeurIPS 2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
NeurIPS 2016
Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition
ICCV 2013