PPaperPicks

Xin Wang

48 papers at tracked venues · 38 at CORE A* · active 2024–2026

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Venues

AAAI ×10ACL ×9CVPR ×5NeurIPS ×5EMNLP ×4ICML ×3IJCAI ×2WWW ×2ACM MM ×1ECAI ×1ECML-PKDD ×1ICCV ×1ICRA ×1IROS ×1SIGKDD ×1VLDB ×1

Frequent coauthors

Shu Zhou
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Jingyuan Zhang
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Yanmin Li
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Shangfeng Huang
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Yuxuan Du
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Yilin Zhang
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Qingfei Zhao
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Mingzi Zuo
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Pengxiang Zhao
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Li Lin
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Tong Li
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Kuiyu Zhu
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Papers

  1. A Causal Target for Learning to Defer Under Hidden Confounding
    AAAI 2026 ·
    Yanmin Li
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  2. Activation Caching for Retrieval-Augmented Generation
    WWW 2026 ·
    Shu Zhou
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  3. Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection
    AAAI 2026 ·
    Jingyuan Zhang
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  4. BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Models
    AAAI 2026 ·
    Shangfeng Huang
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  5. CIDER: Boosting Memory-Disaggregated Key-Value Stores with Pessimistic Synchronization
    VLDB 2026 ·
    Yuxuan Du
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  6. Cascaded Verification Framework: A Progressive Approach for Mitigating Hallucinations in Large Language Models
    WWW 2026 ·
    Shu Zhou
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  7. Don't Click That: Teaching Web Agents to Resist Deceptive Interfaces
    ACL 2026 ·
    Yilin Zhang
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  8. DynamicFocalPO: Adaptive Focusing Strategy for Preference Optimization
    ACL 2026 ·
    Shu Zhou
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  9. Inference Scaling Law for Retrieval Augmented Generation
    AAAI 2026 ·
    Shu Zhou
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  10. LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection
    ACL 2026 · Xin Wang
  11. R-Search: Empowering LLM Reasoning with Search via Multi-Reward Reinforcement Learning
    ACL 2026 ·
    Qingfei Zhao
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  12. Speak No Evil, Just Prompt: Low-resource Multilingual Toxic Speech Detection with Audio Language Model
    ACL 2026 ·
    Mingzi Zuo
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  13. The Retrieval Bottleneck: Scaling Laws for Reinforcement Learning in RAG
    ACL 2026 ·
    Shu Zhou
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  14. Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
    ACL 2026 ·
    Pengxiang Zhao
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  15. When More Thinking Hurts: Overthinking in LLM Test-Time Compute Scaling
    ACL 2026 ·
    Shu Zhou
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  16. AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark
    CVPR 2025 ·
    Li Lin
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  17. Adaptive Dual Guidance Knowledge Distillation
    AAAI 2025 ·
    Tong Li
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  18. Adversarial Propensity Weighting for Debiasing in Collaborative Filtering
    IJCAI 2025 ·
    Kuiyu Zhu
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  19. An insect-scale multimodal amphibious piezoelectric robot
    IROS 2025 ·
    Le Wang
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  20. BurstGPT: A Real-World Workload Dataset to Optimize LLM Serving Systems
    SIGKDD 2025 ·
    Yuxin Wang
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  21. Complementary Advantages: Exploiting Cross-Field Frequency Correlation for NIR-Assisted Image Denoising
    CVPR 2025 ·
    Yuchen Wang
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  22. ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
    AAAI 2025 ·
    Mengqi Lei
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  23. FIRE: Robust Detection of Diffusion-Generated Images via Frequency-Guided Reconstruction Error
    CVPR 2025 ·
    Beilin Chu
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  24. GTR-Loc: Geospatial Text Regularization Assisted Outdoor LiDAR Localization
    NeurIPS 2025 ·
    Shangshu Yu
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  25. GraphChain: Large Language Models for Large-scale Graph Analysis via Tool Chaining
    NeurIPS 2025 ·
    Chunyu Wei
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  26. Implicit degree bias in the link prediction task
    ICML 2025 ·
    Rachith Aiyappa
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  27. Improving Generalization for AI-Synthesized Voice Detection
    AAAI 2025 ·
    Hainan Ren
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  28. MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning
    ACL 2025 ·
    Shu Zhou
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  29. NESTFUL: A Benchmark for Evaluating LLMs on Nested Sequences of API Calls
    EMNLP 2025 ·
    Kinjal Basu
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  30. Optimization Inspired Few-Shot Adaptation for Large Language Models
    NeurIPS 2025 ·
    Boyan Gao
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  31. Predictive Performance of Deep Quantum Data Re-uploading Models
    ICML 2025 · Xin Wang
  32. ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
    ICML 2025 ·
    Utkarsh Saxena
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  33. Restricted Global-Aware Graph Filters Bridging GNNs and Transformer for Node Classification
    NeurIPS 2025 ·
    Jingyuan Zhang
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  34. SCALM: Detecting Bad Practices in Smart Contracts Through LLMs
    AAAI 2025 ·
    Zongwei Li
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  35. Set-Valued Sensitivity Analysis of Deep Neural Networks
    AAAI 2025 · Xin Wang
  36. TopicGeo: An Efficient Unified Framework for Geolocation
    ICCV 2025 · Xin Wang
  37. Towards Mitigation of Hallucination for LLM-Empowered Agents: Progressive Generalization Bound Exploration and Watchdog Monitor
    ECAI 2025 ·
    Siyuan Liu
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  38. Universal Online Temporal Calibration for Optimization-Based Visual-Inertial Navigation Systems
    ICRA 2025 ·
    Yunfei Fan
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  39. Active Listening: Personalized Question Generation in Open-Domain Social Conversation with User Model Based Prompting
    EMNLP 2024 ·
    Kevin Bowden
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  40. Enhancing Video Super-Resolution via Implicit Resampling-based Alignment
    CVPR 2024 ·
    Kai Xu
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  41. Exponential Hardness of Optimization from the Locality in Quantum Neural Networks
    AAAI 2024 ·
    Hao-Kai Zhang
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  42. From Text Segmentation to Enhanced Representation Learning: A Novel Approach to Multi-Label Classification for Long Texts
    EMNLP 2024 ·
    Wang Zhang
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  43. In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
    CVPR 2024 · Xin Wang
  44. Interpretable Matching of Optical-SAR Image via Dynamically Conditioned Diffusion Models
    ACM MM 2024 ·
    Shuiping Gou
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  45. Non-asymptotic Approximation Error Bounds of Parameterized Quantum Circuits
    NeurIPS 2024 ·
    Zhan Yu
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  46. Read Anywhere Pointed: Layout-aware GUI Screen Reading with Tree-of-Lens Grounding
    EMNLP 2024 ·
    Yue Fan
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  47. SAGS-DynamicBio: Integrating Semantic-Aware and Graph Structure-Aware Embedding for Dynamic Biological Data with Knowledge Graphs
    ECML-PKDD 2024 ·
    Yao Liu
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  48. Self-Supervised Learning for Enhancing Spatial Awareness in Free-Hand Sketches
    IJCAI 2024 · Xin Wang