Wenxiao Wang

HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference ACL 2026 MatchMask: Mask-Centric Generative Data Augmentation for Label-Scarce Semantic Segmentation CVPR 2026 OpGuard: Bitwise Alignment for Precise and General Debugging of Production LLM Training OSDI 2026 SDCs in the Wild: Characterizing and Diagnosing SDC-Defective GPUs in Production LLM Training (Operational Systems) OSDI 2026 Concise and Organized Perception Facilitates Reasoning in Large Language Models NAACL 2025 Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models ICLR 2025 DyePack: Provably Flagging Test Set Contamination in LLMs Using Backdoors EMNLP 2025 FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models ICLR 2025 From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks NAACL 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach ICLR 2025 STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction AAAI 2025 Tool Preferences in Agentic LLMs are Unreliable EMNLP 2025 Adapt2Reward: Adapting Video-Language Models to Generalizable Robotic Rewards via Failure Prompts ECCV 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness ICLR 2024 EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing NeurIPS 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NeurIPS 2024 Few-shot Hybrid Domain Adaptation of Image Generator ICLR 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024 G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction IJCAI 2024 Instance-adaptive Zero-shot Chain-of-Thought Prompting NeurIPS 2024 Learning Occupancy for Monocular 3D Object Detection CVPR 2024 Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-dataset 3D Object Detection CVPR 2024 Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving AAAI 2024 Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks ICLR 2024 CLIP Is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation CVPR 2023 MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection ICCV 2023 One-shot Implicit Animatable Avatars with Model-based Priors ICCV 2023 PVT-SSD: Single-Stage 3D Object Detector With Point-Voxel Transformer CVPR 2023 Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases NeurIPS 2023 Temporal Robustness against Data poisoning NeurIPS 2023 Towards In-Distribution Compatible Out-of-Distribution Detection AAAI 2023 CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention ICLR 2022 Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph ECCV 2022 Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation ICML 2022 Lethal Dose Conjecture on Data Poisoning NeurIPS 2022 Masked Autoencoders for Point Cloud Self-Supervised Learning ECCV 2022 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework ICML 2021 On Feature Decorrelation in Self-Supervised Learning ICCV 2021 The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks CVPR 2020 COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning IJCAI 2019