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Weiping Wang

Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China

36 papers at tracked venues · 30 at CORE A* · active 2024–2026

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Venues

ACL ×9AAAI ×6ACM MM ×6EMNLP ×3ICCV ×2IJCAI ×2NeurIPS ×2SIGIR ×2WWW ×2CVPR ×1ECCV ×1

Frequent coauthors

Naibin Gu
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Chenxu Yang
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Dingyu Yao
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Yufan Liu
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Hongcheng Li
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Ruyue Liu
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Mingyu Zheng
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Jian Li
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Huishan Ji
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Jiasen Li
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Zenghao Guan
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Jiaxuan Zhao
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Papers

  1. DRGW: Learning Disentangled Representations for Robust Graph Watermarking
    WWW 2026 ·
    Jiasen Li
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  2. Enhancing Federated Class-Incremental Learning via Spatial-Temporal Statistics Aggregation
    WWW 2026 ·
    Zenghao Guan
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  3. Test-time Prompt Intervention
    AAAI 2026 ·
    Chenxu Yang
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  4. VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization
    ACL 2026 ·
    Dingyu Yao
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  5. Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
    ACL 2025 ·
    Naibin Gu
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  6. AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
    ICCV 2025 ·
    Yufan Liu
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  7. BeamLoRA: Beam-Constraint Low-Rank Adaptation
    ACL 2025 ·
    Naibin Gu
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  8. CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
    EMNLP 2025 ·
    Jiaxuan Zhao
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  9. CIRAG: Retrieval-Augmented Language Model with Collective Intelligence
    SIGIR 2025 ·
    Chenxu Cui
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  10. DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
    ACL 2025 ·
    Yuchen Feng
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  11. Diversity-Enhanced Distribution Alignment for Dataset Distillation
    ICCV 2025 ·
    Hongcheng Li
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  12. Incorporating Communication Style and Interaction of Speakers for Sarcasm Explanation in Dialogue
    SIGIR 2025 ·
    Yuqing Li
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  13. Mitigating the Evolving Semantic Entanglement in Continual Learning of Vision-Language Models
    ACM MM 2025 ·
    Yiliang Zhu
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  14. NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
    NeurIPS 2025 ·
    Lanrui Wang
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  15. Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
    AAAI 2025 ·
    Xiyu Liu
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  16. SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs
    NeurIPS 2025 ·
    Ruyue Liu
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  17. ShieldIR: Privacy-Preserving Unsupervised Cross-Domain Image Retrieval via Dual Protection Transformation
    ACM MM 2025 ·
    Zixin Tang
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  18. TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning
    ACL 2025 ·
    Mingyu Zheng
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  19. TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization
    ACL 2025 ·
    Dingyu Yao
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  20. The Role of Video Generation in Enhancing Data-Limited Action Understanding
    IJCAI 2025 ·
    Wei Li
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  21. Weights-Rotated Preference Optimization for Large Language Models
    EMNLP 2025 ·
    Chenxu Yang
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  22. A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re- Identification
    CVPR 2024 ·
    Zexian Yang
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  23. ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network
    AAAI 2024 ·
    Ruyue Liu
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  24. DANCE: Dual-View Distribution Alignment for Dataset Condensation
    IJCAI 2024 ·
    Hansong Zhang
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  25. Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization
    ACM MM 2024 ·
    Yisu Liu
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  26. Diversified Semantic Distribution Matching for Dataset Distillation
    ACM MM 2024 ·
    Hongcheng Li
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  27. FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
    AAAI 2024 ·
    Jian Li
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  28. High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm
    AAAI 2024 ·
    Jian Li
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  29. Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
    ACL 2024 ·
    Naibin Gu
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  30. Multimodal Table Understanding
    ACL 2024 ·
    Mingyu Zheng
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  31. Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion
    AAAI 2024 ·
    Dayan Wu
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  32. Prediction Exposes Your Face: Black-Box Model Inversion via Prediction Alignment
    ECCV 2024 ·
    Yufan Liu
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  33. Private Gradient Estimation is Useful for Generative Modeling
    ACM MM 2024 ·
    Bochao Liu
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  34. Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
    ACL 2024 ·
    Bowen Shen
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  35. Towards Flexible Evaluation for Generative Visual Question Answering
    ACM MM 2024 ·
    Huishan Ji
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  36. Towards One-to-Many Visual Question Answering
    EMNLP 2024 ·
    Huishan Ji
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