Weiping Wang
74 papers · 2017–2026 · 12 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (142) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Gold 🐣 Hot Topic Early Bird
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Research topics
Machine Learning
(61)
Artificial Intelligence
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Core AI
(36)
Deep Learning
(34)
Learning Types · Machine Learning
(33)
Natural Language Processing
(26)
Core Methods
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Application Areas
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Optimization & Theory · Machine Learning
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Learning Types · Deep Learning
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Computer Vision
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Optimization & Theory · Deep Learning
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Applications
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Architectures
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Resources & Methods
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Keywords
model compression
(10)
large language model
(9)
visual question answering
(7)
generalization bound
(5)
kernel methods
(5)
nyström method
(4)
pre-trained language model
(4)
dialogue generation
(4)
knowledge distillation
(4)
kernel learning
(4)
low-rank adaptation
(4)
semi-supervised learning
(3)
nyström approximation
(3)
representation learning
(3)
incremental learning
(3)
multimodal learning
(3)
model pruning
(3)
data augmentation
(3)
contrastive learning
(3)
question answering
(3)
Papers
Blink: Dynamic Visual Token Resolution for Enhanced Multimodal Understanding
CVPR 2026
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
CVPR 2026
Test-time Prompt Intervention
AAAI 2026
VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization
ACL 2026
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
ACL 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
ICCV 2025
BeamLoRA: Beam-Constraint Low-Rank Adaptation
ACL 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
EMNLP 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
Diversity-Enhanced Distribution Alignment for Dataset Distillation
ICCV 2025
Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching
ICCV 2025
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
AAAI 2025
Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference
COLING 2025
TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning
ACL 2025
TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization
ACL 2025
The Role of Video Generation in Enhancing Data-Limited Action Understanding
IJCAI 2025
Weights-Rotated Preference Optimization for Large Language Models
EMNLP 2025
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification
CVPR 2024
ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
AAAI 2024
Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint)
AAAI 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation
IJCAI 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
AAAI 2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
AAAI 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
ACL 2024
Multimodal Table Understanding
ACL 2024
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion
AAAI 2024
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
ECCV 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
ACL 2024
Towards One-to-Many Visual Question Answering
EMNLP 2024
A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning
ACL 2023
An Empirical Study of Instruction-tuning Large Language Models in Chinese
EMNLP 2023
AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification
ICCV 2023
Chain-of-Thought Reasoning in Tabular Language Models
EMNLP 2023
Combo of Thinking and Observing for Outside-Knowledge VQA
ACL 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
EMNLP 2023
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures
ACL 2023
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models
ACL 2023
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
EMNLP 2023
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object
AAAI 2023
Optimal Convergence Rates for Agnostic Nyström Kernel Learning
ICML 2023
Optimal Convergence Rates for Distributed Nystroem Approximation
JMLR 2023
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension
ACL 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval
ICCV 2023
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
NeurIPS 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
EMNLP 2022
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
EMNLP 2022
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification
AAAI 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
EMNLP 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
NAACL 2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
IJCAI 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel k-Means
NeurIPS 2022
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation
COLING 2022
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection
COLING 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
EMNLP 2022
Check It Again:Progressive Visual Question Answering via Visual Entailment
ACL 2021
Distributed Nyström Kernel Learning with Communications
ICML 2021
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph
ACL 2021
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
IJCAI 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
ACL 2021
Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge
EMNLP 2021
Rescuing Deep Hashing from Dead Bits Problem
IJCAI 2021
Automated Spectral Kernel Learning
AAAI 2020
Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm
AAAI 2020
Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection
EMNLP 2020
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition
CVPR 2020
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
AAAI 2020
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis
IJCAI 2019
Community Focusing: Yet Another Query-Dependent Community Detection
AAAI 2019
Deep Incremental Hashing Network for Efficient Image Retrieval
CVPR 2019
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm
IJCAI 2019
Ranking and Sampling in Open-Domain Question Answering
EMNLP 2019
Fast Cross-Validation
IJCAI 2018
Multi-Class Learning: From Theory to Algorithm
NeurIPS 2018
Efficient Kernel Selection via Spectral Analysis
IJCAI 2017