yuan zhang
81 papers · 2012–2026 · 18 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π Conference Polyglot (18) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Academic Marathon (13)
πΊοΈ
Taxonomy Completionist
(12)
π§
Keyword Pioneer
π
Academic Marathon
(13)
π
Keyword Trendsetter Combo
(4)
π
Grand Slam
π₯
Mega-Team
(24)
π€
Dynamic Duo
(10)
β
The Questioner
π
Conference Pioneer
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(270)
π
Century Club
(77)
π₯
Unstoppable
(8)
Conferences
ACL (11)
EMNLP (10)
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
Keywords
knowledge distillation
(8)
model compression
(6)
semantic segmentation
(5)
large language model
(4)
convolutional neural network
(4)
paraphrase identification
(3)
slot filling
(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
QFinZero: A Unified Financial Toolchain for LLM-Based Trading Agents
ACL 2026
Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective
ACL 2026
RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete
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
SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
ICML 2025
SAN: Hypothesizing Long-Term Synaptic Development and Neural Engram Mechanism in Scalable Modelβs Parameter-Efficient Fine-Tuning
ICML 2025
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
AAAI 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
DLF: Extreme Image Compression with Dual-generative Latent Fusion
ICCV 2025
OmniHuman-1: Rethinking the Scaling-Up of One-Stage Conditioned Human Animation Models
ICCV 2025
Evaluating Evaluation Metrics β 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
FreeKD: Knowledge Distillation via Semantic Frequency Prompt
CVPR 2024
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
LJPCheck: Functional Tests for Legal Judgment Prediction
ACL 2024
Enhancing the Power of OOD Detection via Sample-Aware Model Selection
CVPR 2024
Cloud-Device Collaborative Learning for Multimodal Large Language Models
CVPR 2024
Can Large Language Models Understand Context?
EACL 2024
Energy-induced Explicit quantification for Multi-modality MRI fusion
ECCV 2024
Open Ad Hoc Teamwork with Cooperative Game Theory
ICML 2024
DSCENet: Dynamic Screening and Clinical-Enhanced Multimodal Fusion for MPNs Subtype Classification
MICCAI 2024
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization
CORL 2023
MARRS: Multimodal Reference Resolution System
EMNLP 2023
Masked Distillation with Receptive Tokens
ICLR 2023
DVIS: Decoupled Video Instance Segmentation Framework
ICCV 2023
Dynamic Snake Convolution Based on Topological Geometric Constraints for Tubular Structure Segmentation
ICCV 2023
Knowledge Diffusion for Distillation
NIPS 2023
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
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning
NIPS 2022
Cross-Scale Vector Quantization for Scalable Neural Speech Coding
INTERSPEECH 2022
Cross-Layer Distillation with Semantic Calibration
AAAI 2021
Interactive Speech and Noise Modeling for Speech Enhancement
AAAI 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples
NAACL 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
Controllable Semantic Parsing via Retrieval Augmentation
EMNLP 2021
QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining
ACL 2021
Noise Robust Named Entity Understanding for Voice Assistants
NAACL 2021
Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
ICLR 2021
Neural Inheritance Relation Guided One-Shot Layer Assignment Search
AAAI 2020
Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets
ECCV 2020
LIT Teamβs System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020
ACL 2020
Mapping Natural Language Instructions to Mobile UI Action Sequences
ACL 2020
Shapley Q-Value: A Local Reward Approach to Solve Global Reward Games
AAAI 2020
BlueMemo: Depression Analysis through Twitter Posts
IJCAI 2020
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
CVPR 2020
PAWS: Paraphrase Adversaries from Word Scrambling
NAACL 2019
Tree Communication Models for Sentiment Analysis
ACL 2019
All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
CVPR 2019
A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks
AAAI 2019
ATTAIN: Attention-based Time-Aware LSTM Networks for Disease Progression Modeling
IJCAI 2019
Large-Scale Representation Learning from Visually Grounded Untranscribed Speech
CONLL 2019
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
EMNLP 2019
PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification
IJCNLP 2019
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World
NAACL 2018
Blind Predicting Similar Quality Map for Image Quality Assessment
CVPR 2018
Learning Tag Dependencies for Sequence Tagging
IJCAI 2018
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
EMNLP 2018
Stack-propagation: Improved Representation Learning for Syntax
ACL 2016
Ten Pairs to Tag β Multilingual POS Tagging via Coarse Mapping between Embeddings
NAACL 2016
Randomized Greedy Inference for Joint Segmentation, POS Tagging and Dependency Parsing
NAACL 2015
Hierarchical Low-Rank Tensors for Multilingual Transfer Parsing
EMNLP 2015
High-Order Low-Rank Tensors for Semantic Role Labeling
NAACL 2015
Greed is Good if Randomized: New Inference for Dependency Parsing
EMNLP 2014
Steps to Excellence: Simple Inference with Refined Scoring of Dependency Trees
ACL 2014
Low-Rank Tensors for Scoring Dependency Structures
ACL 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