Ziyang Wang
29 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Cross-Pollinator (15) π§ Keyword Pioneer π Academic Marathon (7) π Conference Polyglot (12) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(58)
π§
Keyword Pioneer
π§¬
Topic Evolution
β‘
Prolific Year
(7)
π
Century Club
(24)
β
The Questioner
ποΈ
Keyword Collector
(128)
π₯
Unstoppable
(8)
Conferences
ACL (8)
EMNLP (6)
AAAI (3)
CVPR (2)
IJCAI (2)
WACV (2)
COLING (1)
EACL (1)
ICCV (1)
IJCNLP (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(7)
neural machine translation
(5)
knowledge distillation
(5)
model compression
(4)
neural network
(2)
zero-shot learning
(2)
language model
(2)
reinforcement learning
(2)
video question answering
(2)
parameter transfer
(2)
efficient computing
(2)
structured pruning
(2)
transformer model
(2)
attention mechanism
(1)
visual question answering
(1)
catastrophic forgetting
(1)
binary classification
(1)
imitation learning
(1)
continual learning
(1)
neural network compression
(1)
Papers
PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models
AAAI 2026
GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models
ACL 2026
AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
AAAI 2026
UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation Models
ACL 2026
TimeRefine: Temporal Grounding with Time Refining Video LLM
WACV 2026
Doc-V*: Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA
ACL 2026
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
CVPR 2025
DAM: Dynamic Adapter Merging for Continual Video QA Learning
WACV 2025
Video-RTS: Rethinking Reinforcement Learning and Test-Time Scaling for Efficient and Enhanced Video Reasoning
EMNLP 2025
MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation
EMNLP 2025
DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models
ACL 2025
Mitigating Posterior Salience Attenuation in Long-Context LLMs with Positional Contrastive Decoding
ACL 2025
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT Images
CVPR 2025
Unleashing Large Language Modelsβ Proficiency in Zero-shot Essay Scoring
EMNLP 2024
Unified Embeddings for Multimodal Retrieval via Frozen LLMs
EACL 2024
A Simple LLM Framework for Long-Range Video Question-Answering
EMNLP 2024
SlimGPT: Layer-wise Structured Pruning for Large Language Models
NIPS 2024
Unbiased Active Semi-supervised Binary Classification Models
IJCAI 2024
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
NAACL 2024
Unified Coarse-to-Fine Alignment for Video-Text Retrieval
ICCV 2023
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning
IJCAI 2023
Focus-Driven Contrastive Learning for Medical Question Summarization
COLING 2022
Weight Distillation: Transferring the Knowledge in Neural Network Parameters
ACL 2021
Learning Light-Weight Translation Models from Deep Transformer
AAAI 2021
Weight Distillation: Transferring the Knowledge in Neural Network Parameters
IJCNLP 2021
The NiuTrans Machine Translation Systems for WMT20
EMNLP 2020
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine Translation
ACL 2020
Shallow-to-Deep Training for Neural Machine Translation
EMNLP 2020
The NiuTrans Machine Translation Systems for WMT19
ACL 2019