Xu, Qiang

39 publications

ICLR 2025 DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng, Shan Huang, Jianyuan Zhong, Zhengyuan Shi, Guohao Dai, Ningyi Xu, Qiang Xu

ICML 2025 DeepLayout: Learning Neural Representations of Circuit Placement Layout Yuxiang Zhao, Zhuomin Chai, Xun Jiang, Qiang Xu, Runsheng Wang, Yibo Lin

ICLR 2025 DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model Yi Liu, Changran Xu, Yunhao Zhou, Zeju Li, Qiang Xu

NeurIPS 2025 Dependency Matters: Enhancing LLM Reasoning with Explicit Knowledge Grounding Xiangyu Wen, Min Li, Junhua Huang, Jianyuan Zhong, Zhijian Xu, Zeju Li, Yongxiang Huang, Mingxuan Yuan, Qiang Xu

ICCV 2025 FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention Xuan Ju, Weicai Ye, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qiang Xu

NeurIPS 2025 Functional Matching of Logic Subgraphs: Beyond Structural Isomorphism Ziyang Zheng, Kezhi Li, Zhengyuan Shi, Qiang Xu

ICLR 2025 HiBug2: Efficient and Interpretable Error Slice Discovery for Comprehensive Model Debugging Muxi Chen, Chenchen Zhao, Qiang Xu

ICCV 2025 MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control Ruiyuan Gao, Kai Chen, Bo Xiao, Lanqing Hong, Zhenguo Li, Qiang Xu

AAAI 2025 MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu

WACV 2025 Non-Cross Diffusion for Semantic Consistency Ziyang Zheng, Ruiyuan Gao, Qiang Xu

ICML 2024 Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho

ECCV 2024 BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, Qiang Xu

CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang

ICLR 2024 FITS: Modeling Time Series with $10k$ Parameters Zhijian Xu, Ailing Zeng, Qiang Xu

NeurIPS 2024 GuardT2I: Defending Text-to-Image Models from Adversarial Prompts Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu

CVPR 2024 MMA-Diffusion: MultiModal Attack on Diffusion Models Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu

ICLR 2024 MagicDrive: Street View Generation with Diverse 3D Geometry Control Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu

NeurIPS 2024 MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions Xuan Ju, Yiming Gao, Zhaoyang Zhang, Ziyang Yuan, Xintao Wang, Ailing Zeng, Yu Xiong, Qiang Xu, Ying Shan

ICML 2024 Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu

ICLR 2024 PnP Inversion: Boosting Diffusion-Based Editing with 3 Lines of Code Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu

AAAI 2024 Text Image Inpainting via Global Structure-Guided Diffusion Models Shipeng Zhu, Pengfei Fang, Chenjie Zhu, Zuoyan Zhao, Qiang Xu, Hui Xue

NeurIPS 2024 Vector Quantization Prompting for Continual Learning Li Jiao, Qiuxia Lai, Yu Li, Qiang Xu

AAAI 2023 Are Transformers Effective for Time Series Forecasting? Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu

ICCV 2023 DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu

NeurIPS 2023 HiBug: On Human-Interpretable Model Debug Muxi Chen, Yu Li, Qiang Xu

CVPR 2023 Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes Xuan Ju, Ailing Zeng, Jianan Wang, Qiang Xu, Lei Zhang

ICCV 2023 HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu

CVPR 2022 Active Teacher for Semi-Supervised Object Detection Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji

ECCV 2022 DeciWatch: A Simple Baseline for 10× Efficient 2D and 3D Pose Estimation Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu

ECCV 2022 Out-of-Distribution Detection with Semantic Mismatch Under Masking Yijun Yang, Ruiyuan Gao, Qiang Xu

NeurIPS 2022 SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Minhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, Qiang Xu

ECCV 2022 SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu

ICLR 2022 T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis Minhao Liu, Ailing Zeng, Qiuxia Lai, Ruiyuan Gao, Min Li, Jing Qin, Qiang Xu

IJCAI 2021 Information Bottleneck Approach to Spatial Attention Learning Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu

ICCV 2021 Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu

NeurIPS 2021 TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu

WACV 2020 DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu

ECCV 2020 SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin

AAAI 2018 Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu