yuan zhang

79 papers · 2012–2026 · 18 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (18) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (11) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🏃 Academic Marathon (13) 🌟 Keyword Trendsetter Combo (4) 🏆 Grand Slam 👥 Mega-Team (24) 🤝 Dynamic Duo (10) ❓ The Questioner 🚀 Conference Pioneer ⚡ Prolific Year (8) 🗃️ Keyword Collector (270) 💎 Century Club (77) 🔥 Unstoppable (8)

Conferences

EMNLP (10) ACL (9) CVPR (9) AAAI (8) NIPS (7) NAACL (7) ICML (5) ICLR (5) ICCV (4) IJCAI (4) ECCV (2) IJCNLP (2) CONLL (2) EACL (1) INTERSPEECH (1) MICCAI (1) CORL (1) WACV (1)

Top co-authors

Regina Barzilay (10) Shanghang Zhang (8) Tao Huang (7) Jason Baldridge (7) Di Xie (5) Jianhong Wang (5) Luheng He (4) Hong Yu (4) Panupong Pasupat (4) Shiliang Pu (4)

Keywords

knowledge distillation (8) model compression (6) semantic segmentation (5) convolutional neural network (4) slot filling (3) paraphrase identification (3) large language model (3) feature extraction (3) machine translation (3) disease progression (2) multi-modal learning (2) adversarial training (2) weak supervision (2) zero-shot learning (2) question answering (2) image classification (2) named entity recognition (2) medical imaging (2) object detection (2) attention mechanism (2)

Papers

Distilling Cross-Modal Knowledge via Feature Disentanglement AAAI 2026

MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation AAAI 2026

RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete CVPR 2025

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference ICML 2025

Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025

SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Model’s Parameter-Efficient Fine-Tuning ICML 2025

A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models ICML 2025

From Decoupling to Adaptive Transformation: a Wider Optimization Space for PTQ ICLR 2025

Leave-One-Out Stable Conformal Prediction ICLR 2025

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures ICLR 2025

OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models ICCV 2025

DLF: Extreme Image Compression with Dual-generative Latent Fusion ICCV 2025

Evaluating Evaluation Metrics – The Mirage of Hallucination Detection EMNLP 2025

Chatbot To Help Patients Understand Their Health EMNLP 2025

MoVE-KD: Knowledge Distillation for VLMs with Mixture of Visual Encoders CVPR 2025

A Novel Perspective for Multi-Modal Multi-Label Skin Lesion Classification WACV 2025

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks ICML 2025

One-to-Multiple: A Progressive Style Transfer Unsupervised Domain-Adaptive Framework for Kidney Tumor Segmentation NIPS 2024

Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis NIPS 2024

Artemis: Towards Referential Understanding in Complex Videos NIPS 2024

Unveiling the Tapestry of Consistency in Large Vision-Language Models NIPS 2024

Cloud-Device Collaborative Learning for Multimodal Large Language Models CVPR 2024

FreeKD: Knowledge Distillation via Semantic Frequency Prompt CVPR 2024

Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024

DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification MICCAI 2024

Open Ad Hoc Teamwork with Cooperative Game Theory ICML 2024

Energy-induced Explicit quantification for Multi-modality MRI fusion ECCV 2024

LJPCheck: Functional Tests for Legal Judgment Prediction ACL 2024

Can Large Language Models Understand Context? EACL 2024

Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation ICCV 2023

Knowledge Diffusion for Distillation NIPS 2023

Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization CORL 2023

MARRS: Multimodal Reference Resolution System EMNLP 2023

DVIS: Decoupled Video Instance Segmentation Framework ICCV 2023

Masked Distillation with Receptive Tokens ICLR 2023

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning NIPS 2022

Cross-Scale Vector Quantization for Scalable Neural Speech Coding INTERSPEECH 2022

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction EMNLP 2022

"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach NIPS 2022

MobRecon: Mobile-Friendly Hand Mesh Reconstruction From Monocular Image CVPR 2022

Controllable Semantic Parsing via Retrieval Augmentation EMNLP 2021

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining IJCNLP 2021

Multi-series Time-aware Sequence Partitioning for Disease Progression Modeling IJCAI 2021

Interactive Speech and Noise Modeling for Speech Enhancement AAAI 2021

Cross-Layer Distillation with Semantic Calibration AAAI 2021

Few-shot Intent Classification and Slot Filling with Retrieved Examples NAACL 2021

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining ACL 2021

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System ICLR 2021

Noise Robust Named Entity Understanding for Voice Assistants NAACL 2021

Mapping Natural Language Instructions to Mobile UI Action Sequences ACL 2020

LIT Team’s System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020 ACL 2020

BlueMemo: Depression Analysis through Twitter Posts IJCAI 2020

Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets ECCV 2020

Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games AAAI 2020

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection CVPR 2020

Neural Inheritance Relation Guided One-Shot Layer Assignment Search AAAI 2020

All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification EMNLP 2019

Large-Scale Representation Learning from Visually Grounded Untranscribed Speech CONLL 2019

A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks AAAI 2019

Tree Communication Models for Sentiment Analysis ACL 2019

ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling IJCAI 2019

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification IJCNLP 2019

PAWS: Paraphrase Adversaries from Word Scrambling NAACL 2019

Blind Predicting Similar Quality Map for Image Quality Assessment CVPR 2018

A Fast, Compact, Accurate Model for Language Identification of Codemixed Text EMNLP 2018

Learning Tag Dependencies for Sequence Tagging IJCAI 2018

Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World NAACL 2018

Ten Pairs to Tag – Multilingual POS Tagging via Coarse Mapping between Embeddings NAACL 2016

Stack-propagation: Improved Representation Learning for Syntax ACL 2016

Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing EMNLP 2015

Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing NAACL 2015

High-Order Low-Rank Tensors for Semantic Role Labeling NAACL 2015

Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees ACL 2014

Low-Rank Tensors for Scoring Dependency Structures ACL 2014

Greed is Good if Randomized: New Inference for Dependency Parsing EMNLP 2014

Transfer Learning for Constituency-Based Grammars ACL 2013

Learning to Map into a Universal POS Tagset EMNLP 2012

Learning to Map into a Universal POS Tagset CONLL 2012