Ping Wang
54 papers · 2017–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13)
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Renaissance Researcher
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Taxonomy Completionist
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Dynamic Duo
(16)
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Topic Evolution
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Grand Slam
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Keyword Collector
(252)
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Trend Setter
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Century Club
(43)
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The Questioner
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Prolific Year
(10)
Conferences
AAAI (16)
ACL (11)
CVPR (5)
EMNLP (5)
COLING (3)
NAACL (3)
NIPS (3)
ICCV (2)
IJCAI (2)
ECCV (1)
ICLR (1)
ICML (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
large language model
(10)
few-shot learning
(4)
image reconstruction
(4)
contrastive learning
(4)
attention mechanism
(3)
neural network
(3)
retrieval-augmented generation
(2)
language model
(2)
symbolic music
(2)
benchmark evaluation
(2)
retrieval augmented generation
(2)
semi-supervised learning
(2)
text classification
(2)
multi-label classification
(2)
knowledge distillation
(2)
question answering
(2)
object detection
(2)
in-context learning
(2)
model compression
(2)
multimodal learning
(2)
Papers
Vista-LLM: Decoupled Query-Guided Visual Token Pruning for Efficient Long-Video Large Language Models
ACL 2026
BoYaEval: Evaluating Multimodal Large Language Models on Understanding Ancient Chinese Musical Scores
ACL 2026
FinMathBench: A Formula-Driven Benchmark for Evaluating LLMsβ Math Reasoning Capabilities in Finance
AAAI 2026
High-Speed FHD Full-Color Video Computer-Generated Holography
AAAI 2026
TRACE: Traversal Retrieval-Augmented Chain of Evidence for Document Understanding
ACL 2026
MHB: Medical Hallucination Benchmark for Large Language Models in Complex Clinical Tasks
AAAI 2026
PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis
AAAI 2026
Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction
AAAI 2026
End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering
AAAI 2026
Debate-of-Thoughts: Resolving Knowledge Conflicts in LLMs Through Internal Deliberation
ACL 2026
GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization
AAAI 2026
SpindleKV: A Novel KV Cache Reduction Method Balancing Both Shallow and Deep Layers
ACL 2025
From Misleading Queries to Accurate Answers: A Three-Stage Fine-Tuning Method for LLMs
ACL 2025
The Dark Side of Function Calling: Pathways to Jailbreaking Large Language Models
COLING 2025
A Simple yet Efficient Prompt Compression Method for Text Classification Data Annotation Using LLM
COLING 2025
NOTA: Multimodal Music Notation Understanding for Visual Large Language Model
NAACL 2025
Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
CVPR 2025
Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction
NAACL 2025
Faster In-Context Learning for LLMs via N-Gram Trie Speculative Decoding
EMNLP 2025
Surprise Calibration for Better In-Context Learning
EMNLP 2025
Can Large Language Models Be Good Language Teachers?
EMNLP 2025
Endplate3D-QCT: A High-Resolution Dataset and Benchmark for Automated 3D Segmentation of Lumbar Vertebral Endplates in QCT
MICCAI 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
ICCV 2025
Predictive Inverse Dynamics Models are Scalable Learners for Robotic Manipulation
ICLR 2025
What Limits Bidirectional Modelβs Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning
ICML 2025
SongSong: A Time Phonograph for Chinese SongCi Music from Thousand of Years Away
AAAI 2025
Dialogue-RAG: Enhancing Retrieval for LLMs via Node-Linking Utterance Rewriting
ACL 2025
Hierarchical Separable Video Transformer for Snapshot Compressive Imaging
ECCV 2024
N-gram Unsupervised Compoundation and Feature Injection for Better Symbolic Music Understanding
AAAI 2024
Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models
AAAI 2024
A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis
AAAI 2024
Hypergraph based Understanding for Document Semantic Entity Recognition
ACL 2024
Selective Prefix Tuning for Pre-trained Language Models
ACL 2024
The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models
ACL 2024
SCINeRF: Neural Radiance Fields from a Snapshot Compressive Image
CVPR 2024
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
CVPR 2024
VHASR: A Multimodal Speech Recognition System With Vision Hotwords
EMNLP 2024
Enhancing Ancient Chinese Understanding with Derived Noisy Syntax Trees
ACL 2023
Two-Shot Video Object Segmentation
CVPR 2023
Deep Optics for Video Snapshot Compressive Imaging
ICCV 2023
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
NIPS 2023
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention
AAAI 2022
Adaptive Graph Convolutional Network for Knowledge Graph Entity Alignment
EMNLP 2022
Localization Distillation for Dense Object Detection
CVPR 2022
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
NIPS 2021
A Simple and Effective Self-Supervised Contrastive Learning Framework for Aspect Detection
AAAI 2021
Towards Universal Physical Attacks on Single Object Tracking
AAAI 2021
Few-Shot Text Classification with Edge-Labeling Graph Neural Network-Based Prototypical Network
COLING 2020
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
AAAI 2020
K-BERT: Enabling Language Representation with Knowledge Graph
AAAI 2020
LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
NAACL 2019
Solving the Satisfiability Problem of Modal Logic S5 Guided by Graph Coloring
IJCAI 2019
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks
NIPS 2019
Hierarchical Feature Selection with Recursive Regularization
IJCAI 2017