Publications

Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu (2024). Multi-patch prediction: Adapting llms for time series representation learning. ICML.

Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu (2024). Mma-diffusion: Multimodal attack on diffusion models. CVPR.

Muxi Chen, Yu Li, Qiang Xu (2024). HiBug: on human-interpretable model debug. NIPS.

Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu (2024). Direct inversion: Boosting diffusion-based editing with 3 lines of code. ICLR.

PDF Cite Code Dataset Project Video

Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu (2024). DeepSeq: Deep Sequential Circuit Learning. DATE.

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

PDF Cite Code Dataset Project Video

Yu Li, Qiang Xu (2023). Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures. ITC*.

Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu (2023). Satformer: Transformer-based unsat core learning. ICCAD.

Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu (2023). On EDA-Driven Learning for SAT Solving. DAC.

Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu (2023). Magicdrive: Street view generation with diverse 3d geometry control. ICLR.

Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu (2023). HumanSD: A native skeleton-guided diffusion model for human image generation. ICCV.

PDF Cite Code Dataset Project Video

Muxi Chen, Zhijian Xu, Ailing Zeng, Qiang Xu (2023). Fraug: Frequency domain augmentation for time series forecasting. CoRR.

Zhijian Xu, Ailing Zeng, Qiang Xu (2023). FITS: Modeling time series with $10 k $ parameters. ICLR.

Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu (2023). Diffguard: Semantic mismatch-guided out-of-distribution detection using pre-trained diffusion models. ICCV.

Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu (2023). Deepgate2: Functionality-aware circuit representation learning. ICCAD.

Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu (2023). Are transformers effective for time series forecasting?. AAAI.

Minhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, Qiang Xu (2022). Scinet: Time series modeling and forecasting with sample convolution and interaction. NIPS.

Yijun Yang, Ruiyuan Gao, Qiang Xu (2022). Out-of-distribution detection with semantic mismatch under masking. ECCV.

Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu (2022). Deeptpi: Test point insertion with deep reinforcement learning. ITC.