← Authors

Weiping Wang

75 papers · 2017–2026 · 13 conferences · across top CS/AI conferences

Achievements

๐ŸŒ Conference Polyglot (13) ๐ŸŒˆ Renaissance Researcher (10) ๐Ÿ Cross-Pollinator (9) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿฃ Hot Topic Early Bird ๐Ÿ—บ๏ธ Taxonomy Completionist (20) ๐Ÿงญ Keyword Pioneer ๐Ÿƒ Academic Marathon (8) ๐Ÿค Dynamic Duo (45) ๐Ÿ”ฌ Deep Specialist (10) ๐Ÿ† Keyword Champion ๐Ÿ“ˆ Trend Setter ๐Ÿš€ Conference Pioneer โšก Prolific Year (6) ๐Ÿ—ƒ๏ธ Keyword Collector (347) ๐Ÿ’Ž Century Club (74) ๐Ÿ”ฅ Unstoppable (9)

Conferences

ACL (16) EMNLP (14) AAAI (13) IJCAI (9) ICCV (5) IJCNLP (4) COLING (3) CVPR (3) NIPS (3) ICML (2) ECCV (1) JMLR (1) NAACL (1)

Top co-authors

Zheng Lin (46) Peng Fu (19) Yong Liu (14) Qingyi Si (11) Yuanxin Liu (11) Jie Zhou (10) Jiangnan Li (10) Yanan Cao (10) Jian Li (10) Fandong Meng (10)

Research topics

Deep Learning (1) Reasoning (1)

Keywords

model compression (11) large language model (9) visual question answering (8) knowledge distillation (5) kernel methods (5) generalization bound (5) nystrรถm method (4) dialogue generation (4) neural network optimization (4) low-rank adaptation (4) kernel learning (4) semi-supervised learning (3) nystrรถm approximation (3) representation learning (3) multimodal learning (3) model pruning (3) contrastive learning (3) data augmentation (3) image retrieval (3) incremental learning (3)

Papers

Test-time Prompt Intervention AAAI 2026
TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization ACL 2025
TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning ACL 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025
BeamLoRA: Beam-Constraint Low-Rank Adaptation ACL 2025
Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025
Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025
The Role of Video Generation in Enhancing Data-Limited Action Understanding IJCAI 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
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts ICCV 2025
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment ECCV 2024
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion AAAI 2024
High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024
FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 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
Multimodal Table Understanding ACL 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification CVPR 2024
Towards One-to-Many Visual Question Answering EMNLP 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation IJCAI 2024
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation EMNLP 2023
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension ACL 2023
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023
Combo of Thinking and Observing for Outside-Knowledge VQA ACL 2023
A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning 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
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object AAAI 2023
Optimal Convergence Rates for Agnostic Nystrรถm Kernel Learning ICML 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval ICCV 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023
Chain-of-Thought Reasoning in Tabular Language Models EMNLP 2023
An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection COLING 2022
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation COLING 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA EMNLP 2022
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection EMNLP 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training NAACL 2022
Imagine by Reasoning: A Reasoning-Based Implicit Semantic Data Augmentation for Long-Tailed Classification AAAI 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 NIPS 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph ACL 2021
Distributed Nystrรถm Kernel Learning with Communications ICML 2021
Rescuing Deep Hashing from Dead Bits Problem IJCAI 2021
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection IJCAI 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation IJCNLP 2021
Check It Again:Progressive Visual Question Answering via Visual Entailment IJCNLP 2021
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph IJCNLP 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
Check It Again:Progressive Visual Question Answering via Visual Entailment ACL 2021
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning AAAI 2020
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition CVPR 2020
Divide-and-Conquer Learning with Nystrรถm: Optimal Rate and Algorithm AAAI 2020
Automated Spectral Kernel Learning AAAI 2020
Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection EMNLP 2020
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019
Ranking and Sampling in Open-Domain Question Answering IJCNLP 2019
Ranking and Sampling in Open-Domain Question Answering EMNLP 2019
Community Focusing: Yet Another Query-Dependent Community Detection AAAI 2019
Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019
Fast Cross-Validation IJCAI 2018
Multi-Class Learning: From Theory to Algorithm NIPS 2018
Efficient Kernel Selection via Spectral Analysis IJCAI 2017