← Authors

Yizhe Zhang

93 papers · 2013–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (16) 🌟 Keyword Trendsetter Combo (3) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (24) πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (325) ⚑ Prolific Year (14) πŸ’Ž Century Club (90) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (10)

Conferences

ACL (15) EMNLP (15) AAAI (11) NIPS (10) ICML (8) MICCAI (8) ICLR (7) NAACL (5) IJCNLP (3) CVPR (2) EACL (2) ICCV (2) WACV (2) IJCAI (1) INTERSPEECH (1) MIDL (1)

Top co-authors

Bill Dolan (20) Chris Brockett (18) Lawrence Carin (18) Jianfeng Gao (15) Michel Galley (14) Zhe Gan (12) Navdeep Jaitly (11) Dinghan Shen (11) Ricardo Henao (9) Xiang Gao (9)

Keywords

text generation (15) language model (8) response generation (6) large language model (5) semi-supervised learning (5) dialogue system (5) optimal transport (4) deep learning (4) fully convolutional network (4) latent space (4) domain adaptation (4) semantic segmentation (4) generative adversarial network (4) attention mechanism (3) image segmentation (3) text style transfer (3) knowledge distillation (3) sequence generation (3) reinforcement learning (3) text classification (3)

Papers

Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits? AAAI 2026
Decoupling Continual Semantic Segmentation AAAI 2026
Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation AAAI 2026
SAGE: Steering Dialog Generation with Future-Aware State-Action Augmentation EMNLP 2025
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities NAACL 2025
Unsupervised Quality Control and Enhancement of Polyp Segmentation in Colonoscopy Videos using Spatiotemporal Consistency MICCAI 2025
Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation MICCAI 2025
Hierarchical Spatio-temporal Segmentation Network for Ejection Fraction Estimation in Echocardiography Videos MICCAI 2025
From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-specific Medical Image Segmentation MICCAI 2025
Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion ICML 2025
Training Software Engineering Agents and Verifiers with SWE-Gym ICML 2025
OpenHands: An Open Platform for AI Software Developers as Generalist Agents ICLR 2025
Scaling Diffusion Language Models via Adaptation from Autoregressive Models ICLR 2025
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
On the Way to LLM Personalization: Learning to Remember User Conversations ACL 2025
MMAU: A Holistic Benchmark of Agent Capabilities Across Diverse Domains NAACL 2025
TSBP: Improving Object Detection in Histology Images via Test-time Self-guided Bounding-box Propagation MICCAI 2024
TextPolyp: Point-supervised Polyp Segmentation with Text Cues MICCAI 2024
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis MICCAI 2024
An Empirical Study on the Fairness of Foundation Models for Multi-Organ Image Segmentation MICCAI 2024
Divide-or-Conquer? Which Part Should You Distill Your LLM? EMNLP 2024
Data-free Distillation of Diffusion Models with Bootstrapping ICML 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
Executable Code Actions Elicit Better LLM Agents ICML 2024
Kaleido Diffusion: Improving Conditional Diffusion Models with Autoregressive Latent Modeling NIPS 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling ACL 2024
Matryoshka Diffusion Models ICLR 2024
f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation ICLR 2023
Towards More Efficient Insertion Transformer with Fractional Positional Encoding EACL 2023
Interactive Text Generation EMNLP 2023
Stabilizing Transformer Training by Preventing Attention Entropy Collapse ICML 2023
PLANNER: Generating Diversified Paragraph via Latent Language Diffusion Model NIPS 2023
Linearizing Transformer with Key-Value Memory EMNLP 2022
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling AAAI 2022
A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation ACL 2022
What Makes Good In-Context Examples for GPT-3? ACL 2022
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device CVPR 2022
Bridging the Training-Inference Gap for Dense Phrase Retrieval EMNLP 2022
Perceptual Consistency in Video Segmentation WACV 2022
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation WACV 2022
Automatic Document Sketching: Generating Drafts from Analogous Texts ACL 2021
Contrastive Multi-document Question Generation EACL 2021
Automatic Document Sketching: Generating Drafts from Analogous Texts IJCNLP 2021
InverseForm: A Loss Function for Structured Boundary-Aware Segmentation CVPR 2021
Contextualized Perturbation for Textual Adversarial Attack NAACL 2021
Finetuning Pretrained Transformers into RNNs EMNLP 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021
A Controllable Model of Grounded Response Generation AAAI 2021
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance ACL 2020
INSET: Sentence Infilling with INter-SEntential Transformer ACL 2020
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space EMNLP 2020
Structured Convolutions for Efficient Neural Network Design NIPS 2020
An Annotation Sparsification Strategy for 3D Medical Image Segmentation via Representative Selection and Self-Training AAAI 2020
Dialogue Response Ranking Training with Large-Scale Human Feedback Data EMNLP 2020
Sequence Generation with Optimal-Transport-Enhanced Reinforcement Learning AAAI 2020
Improving Text Generation with Student-Forcing Optimal Transport EMNLP 2020
Complementary Auxiliary Classifiers for Label-Conditional Text Generation AAAI 2020
Datasets and Benchmarks for Task-Oriented Log Dialogue Ranking Task INTERSPEECH 2020
Contextual Text Style Transfer EMNLP 2020
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training EMNLP 2020
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence Generation ICLR 2020
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation ACL 2020
Improving Sequence-to-Sequence Learning via Optimal Transport ICLR 2019
Domain Adaptive Text Style Transfer EMNLP 2019
Structuring Latent Spaces for Stylized Response Generation EMNLP 2019
Second-Order Non-Local Attention Networks for Person Re-Identification ICCV 2019
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling ACL 2019
Improving Textual Network Embedding with Global Attention via Optimal Transport ACL 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019
Structuring Latent Spaces for Stylized Response Generation IJCNLP 2019
Domain Adaptive Text Style Transfer IJCNLP 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019
Biomedical Image Segmentation via Representative Annotation AAAI 2019
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation MIDL 2019
Jointly Optimizing Diversity and Relevance in Neural Response Generation NAACL 2019
Towards Coherent and Cohesive Long-form Text Generation NAACL 2019
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models EMNLP 2019
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NIPS 2018
Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms ACL 2018
Adversarial Text Generation via Feature-Mover's Distance NIPS 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018
Joint Embedding of Words and Labels for Text Classification ACL 2018
Triangle Generative Adversarial Networks NIPS 2017
Stochastic Gradient Monomial Gamma Sampler ICML 2017
Deconvolutional Paragraph Representation Learning NIPS 2017
Adversarial Feature Matching for Text Generation ICML 2017
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling NIPS 2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation NIPS 2016
Stochastic Gradient MCMC with Stale Gradients NIPS 2016
Bayesian Dictionary Learning with Gaussian Processes and Sigmoid Belief Networks IJCAI 2016
Random Faces Guided Sparse Many-to-One Encoder for Pose-Invariant Face Recognition ICCV 2013