publications.bib

@article{lai2023self,
  title={Self-supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades},
  author={Lai, Qiuxia and Zeng, Ailing and Wang, Ye and Cao, Lihong and Li, Yu and Xu, Qiang},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2023},
  publisher={IEEE}
}

@article{zhong2024dspo,
  title={DSPO: An End-to-End Framework for Direct Sorted Portfolio Construction},
  author={Zhong, Jianyuan and Xu, Zhijian and Wang, Saizhuo and Wen, Xiangyu and Guo, Jian and Xu, Qiang},
  journal={arXiv preprint arXiv:2405.15833},
  year={2024}
}

@inproceedings{ju2023human,
  title={Human-art: A versatile human-centric dataset bridging natural and artificial scenes},
  author={Ju, Xuan and Zeng, Ailing and Wang, Jianan and Xu, Qiang and Zhang, Lei},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={618--629},
  year={2023}
}

@article{liu2022scinet,
  title={Scinet: Time series modeling and forecasting with sample convolution and interaction},
  author={Liu, Minhao and Zeng, Ailing and Chen, Muxi and Xu, Zhijian and Lai, Qiuxia and Ma, Lingna and Xu, Qiang},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={5816--5828},
  year={2022}
}

@inproceedings{ju2023humansd,
  title={Humansd: A native skeleton-guided diffusion model for human image generation},
  author={Ju, Xuan and Zeng, Ailing and Zhao, Chenchen and Wang, Jianan and Zhang, Lei and Xu, Qiang},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={15988--15998},
  year={2023}
}

@inproceedings{yang2024mma,
  title={Mma-diffusion: Multimodal attack on diffusion models},
  author={Yang, Yijun and Gao, Ruiyuan and Wang, Xiaosen and Ho, Tsung-Yi and Xu, Nan and Xu, Qiang},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={7737--7746},
  year={2024}
}

@article{chen2024hibug,
  title={HiBug: on human-interpretable model debug},
  author={Chen, Muxi and Li, Yu and Xu, Qiang},
  journal={Advances in Neural Information Processing Systems},
  volume={36},
  year={2024}
}

@inproceedings{zeng2023transformers,
  title={Are transformers effective for time series forecasting?},
  author={Zeng, Ailing and Chen, Muxi and Zhang, Lei and Xu, Qiang},
  booktitle={Proceedings of the AAAI conference on artificial intelligence},
  volume={37},
  number={9},
  pages={11121--11128},
  year={2023}
}

@inproceedings{wang2022functionality,
  title={Functionality matters in netlist representation learning},
  author={Wang, Ziyi and Bai, Chen and He, Zhuolun and Zhang, Guangliang and Xu, Qiang and Ho, Tsung-Yi and Yu, Bei and Huang, Yu},
  booktitle={Proceedings of the 59th ACM/IEEE Design Automation Conference},
  pages={61--66},
  year={2022}
}

@article{xu2023fits,
  title={FITS: Modeling time series with $10 k $ parameters},
  author={Xu, Zhijian and Zeng, Ailing and Xu, Qiang},
  journal={arXiv preprint arXiv:2307.03756},
  year={2023}
}

@article{zhong2023llm4eda,
  title={Llm4eda: Emerging progress in large language models for electronic design automation},
  author={Zhong, Ruizhe and Du, Xingbo and Kai, Shixiong and Tang, Zhentao and Xu, Siyuan and Zhen, Hui-Ling and Hao, Jianye and Xu, Qiang and Yuan, Mingxuan and Yan, Junchi},
  journal={arXiv preprint arXiv:2401.12224},
  year={2023}
}

@article{gao2023magicdrive,
  title={Magicdrive: Street view generation with diverse 3d geometry control},
  author={Gao, Ruiyuan and Chen, Kai and Xie, Enze and Hong, Lanqing and Li, Zhenguo and Yeung, Dit-Yan and Xu, Qiang},
  journal={arXiv preprint arXiv:2310.02601},
  year={2023}
}

@article{ju2023direct,
  title={Direct inversion: Boosting diffusion-based editing with 3 lines of code},
  author={Ju, Xuan and Zeng, Ailing and Bian, Yuxuan and Liu, Shaoteng and Xu, Qiang},
  journal={arXiv preprint arXiv:2310.01506},
  year={2023}
}

@article{cui2024origen,
  title={OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection},
  author={Cui, Fan and Yin, Chenyang and Zhou, Kexing and Xiao, Youwei and Sun, Guangyu and Xu, Qiang and Guo, Qipeng and Song, Demin and Lin, Dahua and Zhang, Xingcheng and others},
  journal={arXiv preprint arXiv:2407.16237},
  year={2024}
}

@inproceedings{li2022hybridrepair,
  title={HybridRepair: towards annotation-efficient repair for deep learning models},
  author={Li, Yu and Chen, Muxi and Xu, Qiang},
  booktitle={Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis},
  pages={227--238},
  year={2022}
}

@article{yang2022you,
  title={What you see is not what the network infers: Detecting adversarial examples based on semantic contradiction},
  author={Yang, Yijun and Gao, Ruiyuan and Li, Yu and Lai, Qiuxia and Xu, Qiang},
  journal={arXiv preprint arXiv:2201.09650},
  year={2022}
}

@article{wang2024fgnn2,
  title={FGNN2: A Powerful Pre-Training Framework for Learning the Logic Functionality of Circuits},
  author={Wang, Ziyi and Bai, Chen and He, Zhuolun and Zhang, Guangliang and Xu, Qiang and Ho, Tsung-Yi and Huang, Yu and Yu, Bei},
  journal={IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems},
  year={2024},
  publisher={IEEE}
}

@article{bian2024multi,
  title={Multi-patch prediction: Adapting llms for time series representation learning},
  author={Bian, Yuxuan and Ju, Xuan and Li, Jiangtong and Xu, Zhijian and Cheng, Dawei and Xu, Qiang},
  journal={arXiv preprint arXiv:2402.04852},
  year={2024}
}

@inproceedings{gao2023diffguard,
  title={Diffguard: Semantic mismatch-guided out-of-distribution detection using pre-trained diffusion models},
  author={Gao, Ruiyuan and Zhao, Chenchen and Hong, Lanqing and Xu, Qiang},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={1579--1589},
  year={2023}
}

@inproceedings{he2022your,
  title={Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning},
  author={He, Zhiyuan and Yang, Yijun and Chen, Pin-Yu and Xu, Qiang and Ho, Tsung-Yi},
  booktitle={Forty-first International Conference on Machine Learning},
  year={2022}
}

@inproceedings{yang2022out,
  title={Out-of-distribution detection with semantic mismatch under masking},
  author={Yang, Yijun and Gao, Ruiyuan and Xu, Qiang},
  booktitle={European Conference on Computer Vision},
  pages={373--390},
  year={2022},
  organization={Springer}
}

@article{shi2024deepgate3,
  title={DeepGate3: towards scalable circuit representation learning},
  author={Shi, Zhengyuan and Zheng, Ziyang and Khan, Sadaf and Zhong, Jianyuan and Li, Min and Xu, Qiang},
  journal={arXiv preprint arXiv:2407.11095},
  year={2024}
}

@inproceedings{ju2024pnp,
  title={Pnp inversion: Boosting diffusion-based editing with 3 lines of code},
  author={Ju, Xuan and Zeng, Ailing and Bian, Yuxuan and Liu, Shaoteng and Xu, Qiang},
  booktitle={The Twelfth International Conference on Learning Representations},
  year={2024}
}

@article{chen2024dawn,
  title={The dawn of ai-native eda: Promises and challenges of large circuit models},
  author={Chen, Lei and Chen, Yiqi and Chu, Zhufei and Fang, Wenji and Ho, Tsung-Yi and Huang, Yu and Khan, Sadaf and Li, Min and Li, Xingquan and Liang, Yun and others},
  journal={arXiv preprint arXiv:2403.07257},
  year={2024}
}

@inproceedings{shi2023deepgate2,
  title={Deepgate2: Functionality-aware circuit representation learning},
  author={Shi, Zhengyuan and Pan, Hongyang and Khan, Sadaf and Li, Min and Liu, Yi and Huang, Junhua and Zhen, Hui-Ling and Yuan, Mingxuan and Chu, Zhufei and Xu, Qiang},
  booktitle={2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)},
  pages={1--9},
  year={2023},
  organization={IEEE}
}

@inproceedings{li2023eda,
  title={On EDA-Driven Learning for SAT Solving},
  author={Li, Min and Shi, Zhengyuan and Lai, Qiuxia and Khan, Sadaf and Cai, Shaowei and Xu, Qiang},
  booktitle={2023 60th ACM/IEEE Design Automation Conference (DAC)},
  pages={1--6},
  year={2023},
  organization={IEEE}
}

@article{li2022empirical,
  title={An empirical study on the efficacy of deep active learning for image classification},
  author={Li, Yu and Chen, Muxi and Liu, Yannan and He, Daojing and Xu, Qiang},
  journal={arXiv preprint arXiv:2212.03088},
  year={2022}
}

@article{chen2024evaluating,
  title={Evaluating text-to-image generative models: An empirical study on human image synthesis},
  author={Chen, Muxi and Liu, Yi and Yi, Jian and Xu, Changran and Lai, Qiuxia and Wang, Hongliang and Ho, Tsung-Yi and Xu, Qiang},
  journal={arXiv preprint arXiv:2403.05125},
  year={2024}
}

@inproceedings{shi2023satformer,
  title={Satformer: Transformer-based unsat core learning},
  author={Shi, Zhengyuan and Li, Min and Liu, Yi and Khan, Sadaf and Huang, Junhua and Zhen, Hui-Ling and Yuan, Mingxuan and Xu, Qiang},
  booktitle={2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)},
  pages={1--4},
  year={2023},
  organization={IEEE}
}

@inproceedings{khan2024deepseq,
  title={DeepSeq: Deep Sequential Circuit Learning},
  author={Khan, Sadaf and Shi, Zhengyuan and Li, Min and Xu, Qiang},
  booktitle={2024 Design, Automation \& Test in Europe Conference \& Exhibition (DATE)},
  pages={1--2},
  year={2024},
  organization={IEEE}
}

@article{shi2022satformer,
  title={Satformer: Transformers for SAT solving},
  author={Shi, Zhengyuan and Li, Min and Khan, Sadaf and Zhen, Hui-Ling and Yuan, Mingxuan and Xu, Qiang},
  journal={arXiv preprint arXiv:2209.00953},
  year={2022}
}

@article{yang2024guardt2i,
  title={GuardT2I: Defending Text-to-Image Models from Adversarial Prompts},
  author={Yang, Yijun and Gao, Ruiyuan and Yang, Xiao and Zhong, Jianyuan and Xu, Qiang},
  journal={arXiv preprint arXiv:2403.01446},
  year={2024}
}

@inproceedings{shi2022deeptpi,
  title={Deeptpi: Test point insertion with deep reinforcement learning},
  author={Shi, Zhengyuan and Li, Min and Khan, Sadaf and Wang, Liuzheng and Wang, Naixing and Huang, Yu and Xu, Qiang},
  booktitle={2022 IEEE International Test Conference (ITC)},
  pages={194--203},
  year={2022},
  organization={IEEE}
}

@article{chen2023fraug,
  title={Fraug: Frequency domain augmentation for time series forecasting},
  author={Chen, Muxi and Xu, Zhijian and Zeng, Ailing and Xu, Qiang},
  journal={arXiv preprint arXiv:2302.09292},
  year={2023}
}

@inproceedings{chen2023integrating,
  title={Integrating exact simulation into sweeping for datapath combinational equivalence checking},
  author={Chen, Zhihan and Zhang, Xindi and Qian, Yuhang and Xu, Qiang and Cai, Shaowei},
  booktitle={2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD)},
  pages={1--9},
  year={2023},
  organization={IEEE}
}

@inproceedings{peng2023expert,
  title={EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field},
  author={Peng, Xiangjun and Huang, Zheng and Cantrell, Alex and Shu, Bi Hua and Xie, Ke Ke and Li, Yi and Li, Yu and Jiang, Li and Xu, Qiang and Yang, Ming-Chang},
  booktitle={2023 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)},
  pages={35--41},
  year={2023},
  organization={IEEE}
}

@article{xu2024beyond,
  title={Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues},
  author={Xu, Zhijian and Bian, Yuxuan and Zhong, Jianyuan and Wen, Xiangyu and Xu, Qiang},
  journal={arXiv preprint arXiv:2405.13522},
  year={2024}
}

@article{li2022deepsat,
  title={Deepsat: An eda-driven learning framework for sat},
  author={Li, Min and Shi, Zhengyuan and Lai, Qiuxia and Khan, Sadaf and Cai, Shaowei and Xu, Qiang},
  journal={arXiv preprint arXiv:2205.13745},
  year={2022}
}

@article{gao2024magicdrive3d,
  title={MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes},
  author={Gao, Ruiyuan and Chen, Kai and Li, Zhihao and Hong, Lanqing and Li, Zhenguo and Xu, Qiang},
  journal={arXiv preprint arXiv:2405.14475},
  year={2024}
}

@inproceedings{li2023towards,
  title={Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures},
  author={Li, Yu and Xu, Qiang},
  booktitle={2023 IEEE International Test Conference (ITC)},
  pages={196--205},
  year={2023},
  organization={IEEE}
}

@article{zhu2024cktsat,
  title={CKTSAT: Circuit Preprocessing Driven SAT Solver},
  author={Zhu, Jiaying and Shi, Zhengyuan and Liu, Yi and Xu, Qiang},
  journal={SAT COMPETITION 2024},
  pages={28}
}