Wei Zhu
49 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌍 Conference Polyglot (13) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (11)
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Renaissance Researcher
(10)
🌍
Conference Polyglot
(13)
🏃
Academic Marathon
(7)
🐺
Lone Wolf
(6)
🏆
Keyword Champion
(6)
🔬
Deep Specialist
(14)
🤝
Dynamic Duo
(12)
📈
Trend Setter
🚀
Conference Pioneer
🗃️
Keyword Collector
(196)
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Prolific Year
(9)
🔥
Unstoppable
(5)
💎
Century Club
(48)
Conferences
ACL (15)
EMNLP (11)
IJCNLP (4)
NAACL (4)
CVPR (3)
ICML (3)
ICCV (2)
NIPS (2)
COLING (1)
INTERSPEECH (1)
JMLR (1)
MICCAI (1)
MIDL (1)
Top co-authors
Keywords
large language model
(7)
model compression
(7)
low-rank adaptation
(6)
parameter-efficient fine-tuning
(6)
neural architecture search
(5)
prompt tuning
(5)
early exit
(4)
pre-trained language model
(4)
transfer learning
(3)
representation learning
(3)
early exiting
(3)
named entity recognition
(3)
neural network optimization
(3)
adaptive computation
(2)
diffusion model
(2)
time series
(2)
computational efficiency
(2)
deep neural network
(2)
multimodal learning
(2)
coreference resolution
(2)
Papers
Dissecting Failure Dynamics in Large Language Model Reasoning
ACL 2026
DynamicFace: High-Quality and Consistent Face Swapping for Image and Video using Composable 3D Facial Priors
ICCV 2025
HierPrompt: Zero-Shot Hierarchical Text Classification with LLM-Enhanced Prototypes
EMNLP 2025
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System
EMNLP 2025
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
EMNLP 2025
SMTPD: A New Benchmark for Temporal Prediction of Social Media Popularity
CVPR 2025
DRUM: Learning Demonstration Retriever for Large MUlti-modal Models
ACL 2025
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation
ACL 2025
Low-Rank Continual Pyramid Vision Transformer: Incrementally Segment Whole-Body Organs in CT with Light-Weighted Adaptation
MICCAI 2024
IAPT: Instance-Aware Prompt Tuning for Large Language Models
ACL 2024
FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning
EMNLP 2024
PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment
EMNLP 2024
SCA: Selective Compression Attention for Efficiently Extending the Context Window of Large Language Models
EMNLP 2024
MiLoRA: Efficient Mixture of Low-Rank Adaptation for Large Language Models Fine-tuning
EMNLP 2024
ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback
ICML 2024
DiffVC+: Improving Diffusion-based Voice Conversion for Speaker Anonymization
INTERSPEECH 2024
ALoRA: Allocating Low-Rank Adaptation for Fine-tuning Large Language Models
NAACL 2024
LECO: Improving Early Exiting via Learned Exits and Comparison-based Exiting Mechanism
ACL 2023
On the Implicit Bias of Linear Equivariant Steerable Networks
NIPS 2023
Sample Complexity of Probability Divergences under Group Symmetry
ICML 2023
Learned Adapters Are Better Than Manually Designed Adapters
ACL 2023
NAG-NER: a Unified Non-Autoregressive Generation Framework for Various NER Tasks
ACL 2023
Unified Demonstration Retriever for In-Context Learning
ACL 2023
SPT: Learning to Selectively Insert Prompts for Better Prompt Tuning
EMNLP 2023
BADGE: Speeding Up BERT Inference after Deployment via Block-wise Bypasses and Divergence-based Early Exiting
ACL 2023
SegPrompt: Using Segmentation Map as a Better Prompt to Finetune Deep Models for Kidney Stone Classification
MIDL 2023
Continually Detection, Rapidly React: Unseen Rumors Detection Based on Continual Prompt-Tuning
COLING 2022
Localized Adversarial Domain Generalization
CVPR 2022
Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation
EMNLP 2022
Structure-preserving GANs
ICML 2022
PCEE-BERT: Accelerating BERT Inference via Patient and Confident Early Exiting
NAACL 2022
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters
JMLR 2022
A Simple Hash-Based Early Exiting Approach For Language Understanding and Generation
ACL 2022
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
ACL 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization
ACL 2021
Global Attention Decoder for Chinese Spelling Error Correction
ACL 2021
LeeBERT: Learned Early Exit for BERT with cross-level optimization
IJCNLP 2021
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
IJCNLP 2021
MVP-BERT: Multi-Vocab Pre-training for Chinese BERT
IJCNLP 2021
Global Attention Decoder for Chinese Spelling Error Correction
IJCNLP 2021
paht_nlp @ MEDIQA 2021: Multi-grained Query Focused Multi-Answer Summarization
NAACL 2021
Discovering Better Model Architectures for Medical Query Understanding
NAACL 2021
Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization
ICCV 2021
GAML-BERT: Improving BERT Early Exiting by Gradient Aligned Mutual Learning
EMNLP 2021
MVP-BERT: Multi-Vocab Pre-training for Chinese BERT
ACL 2021
PANLP at MEDIQA 2019: Pre-trained Language Models, Transfer Learning and Knowledge Distillation
ACL 2019
Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks
EMNLP 2019
Deep Neural Nets with Interpolating Function as Output Activation
NIPS 2018
LDMNet: Low Dimensional Manifold Regularized Neural Networks
CVPR 2018