Weiping Wang

Test-time Prompt Intervention AAAI 2026 VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization ACL 2026 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 Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025 AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts ICCV 2025 Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025 DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025 Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models AAAI 2025 Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025 CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 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 BeamLoRA: Beam-Constraint Low-Rank Adaptation ACL 2025 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 Towards One-to-Many Visual Question Answering EMNLP 2024 Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment ECCV 2024 Multimodal Table Understanding ACL 2024 A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification CVPR 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 DANCE: Dual-View Distribution Alignment for Dataset Condensation IJCAI 2024 An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023 One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object AAAI 2023 A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023 IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures ACL 2023 Combo of Thinking and Observing for Outside-Knowledge VQA ACL 2023 Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023 Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension ACL 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation EMNLP 2023 Chain-of-Thought Reasoning in Tabular Language Models EMNLP 2023 AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification ICCV 2023 UATVR: Uncertainty-Adaptive Text-Video Retrieval ICCV 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 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 Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 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 A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022 Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge IJCAI 2022 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 Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021 Distributed Nyström Kernel Learning with Communications ICML 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 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 Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph ACL 2021 Check It Again:Progressive Visual Question Answering via Visual Entailment ACL 2021 SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition CVPR 2020 Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection EMNLP 2020 Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning AAAI 2020 Divide-and-Conquer Learning with Nyström: Optimal Rate and Algorithm AAAI 2020 Automated Spectral Kernel Learning AAAI 2020 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 Deep Incremental Hashing Network for Efficient Image Retrieval CVPR 2019 Ranking and Sampling in Open-Domain Question Answering EMNLP 2019 Community Focusing: Yet Another Query-Dependent Community Detection AAAI 2019 Ranking and Sampling in Open-Domain Question Answering IJCNLP 2019 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 Multi-Class Learning: From Theory to Algorithm NIPS 2018 Fast Cross-Validation IJCAI 2018 Efficient Kernel Selection via Spectral Analysis IJCAI 2017