add circuit transformer

publications.md

@@ -9,17 +9,21 @@ display_title: Publications
 
 [[Google Scholar profile]](https://scholar.google.com/citations?user=2Y-QNGEAAAAJ) [[Semantic Scholar]](https://www.semanticscholar.org/author/Xihan-Li/2108414275) [[DBLP]](https://dblp.org/pid/81/4133-1.html)
 
+# Manuscripts
+
+- **Xihan Li**, Xing Li, Lei Chen, Xing Zhang, Mingxuan Yuan and Jun Wang. “[Circuit Transformer: End-to-end Circuit Design by Predicting the Next Gate.](https://arxiv.org/abs/2403.13838)” (2024). [[PDF]](https://arxiv.org/pdf/2403.13838.pdf)
+
 # Papers
 
-- **Xihan Li**, Xiang Chen, Rasul Tutunov, Haitham Bou Ammar, Lei Wang, Jun Wang. "[Online PCA in Converging Self-consistent Field Equations](/assets/publications/Online_PCA_in_Converging_Self_consistent_Field_Equations.pdf)". In the 37th Conference on Neural Information Processing System (NeurIPS 2023). [[PDF]](/assets/publications/Online_PCA_in_Converging_Self_consistent_Field_Equations.pdf) [[Appendix]](/assets/publications/Online_PCA_in_Converging_Self_consistent_Field_Equations_supp.pdf)
-- **Xihan Li**, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang. "[Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization](https://arxiv.org/abs/2108.04586)". In *Proceedings of the 30th ACM International Conference on Information & Knowledge Management* (CIKM '21). Association for Computing Machinery, New York, NY, USA, 3925–3934. [[arXiv (with appendix)]](https://arxiv.org/abs/2108.04586) [[ACM DL]](https://dl.acm.org/doi/10.1145/3459637.3481925) [[Slide]]({{site.url}}/assets/grassland/grassland_slide.pdf) [[Poster]]({{site.url}}/assets/grassland/grassland_poster.pdf) [[Video]](https://app6ca5octe2206.pc.xiaoe-tech.com/detail/v_617b6fe4e4b0fa7d55ffa2ef/3)
+- **Xihan Li**, Xiang Chen, Rasul Tutunov, Haitham Bou Ammar, Lei Wang, Jun Wang. "[Online PCA in Converging Self-consistent Field Equations](https://proceedings.neurips.cc/paper_files/paper/2023/hash/969c14957c0df5ce2db642b3a5fa985c-Abstract-Conference.html)". In the 37th Conference on Neural Information Processing System (NeurIPS 2023). [[PDF]](https://proceedings.neurips.cc/paper_files/paper/2023/file/969c14957c0df5ce2db642b3a5fa985c-Paper-Conference.pdf) [[Appendix]](https://proceedings.neurips.cc/paper_files/paper/2023/file/969c14957c0df5ce2db642b3a5fa985c-Supplemental-Conference.pdf)
+- **Xihan Li**, Xiongwei Han, Zhishuo Zhou, Mingxuan Yuan, Jia Zeng, Jun Wang. "[Grassland: A Rapid Algebraic Modeling System for Million-variable Optimization](https://dl.acm.org/doi/10.1145/3459637.3481925)". In *Proceedings of the 30th ACM International Conference on Information & Knowledge Management* (CIKM '21). Association for Computing Machinery, New York, NY, USA, 3925–3934. [[PDF (with appendix)]](https://arxiv.org/pdf/2108.04586.pdf) [[ACM DL]](https://dl.acm.org/doi/10.1145/3459637.3481925) [[Slide]]({{site.url}}/assets/grassland/grassland_slide.pdf) [[Poster]]({{site.url}}/assets/grassland/grassland_poster.pdf) [[Video]](https://app6ca5octe2206.pc.xiaoe-tech.com/detail/v_617b6fe4e4b0fa7d55ffa2ef/3)
   - From 2021, Grassland has been supporting Huawei's large-scale production planning simulation and supply-demand analysis.
   - Grassland is now the modeling system and API of Huawei's [OptVerse](https://www.huaweicloud.com/product/modelarts/optverse.html) optimizer. [[Application]](https://aclanthology.org/2023.acl-demo.45.pdf)
   - Media Post on Synced （机器之心）: [[link]](https://mp.weixin.qq.com/s/cs_iYxV_jhDoMnM4cITR0g)
 - Qianwen Zhu, **Xihan Li**, Zihan Zhang, Zhixing Luo, Xialiang Tong, Mingxuan Yuan, Jia Zeng. "[Learning to Pack: A Data-Driven Tree Search Algorithm for Large-Scale 3D Bin Packing Problem](https://dl.acm.org/doi/10.1145/3459637.3481933)". In *Proceedings of the 30th ACM International Conference on Information & Knowledge Management* (CIKM '21). Association for Computing Machinery, New York, NY, USA, 4393–4402. [[ACM DL]](https://dl.acm.org/doi/10.1145/3459637.3481933)
-- **Xihan Li**, Jia Zhang, Jiang Bian, Yunhai Tong and Tie-Yan Liu. "[A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network](http://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htm#4A)". In *Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems* (AAMAS '19). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 980–988. [[arXiv (with appendix)]](https://arxiv.org/abs/1903.00714) [[ACM DL]](https://dl.acm.org/doi/abs/10.5555/3306127.3331794) [[Slide]](https://drive.google.com/file/d/1D0ePPiuKKPD2klIu4lbTAJFHJ__vZXiS/view?usp=sharing) [[Poster]](https://drive.google.com/file/d/1tuJiH75KeLG9pA-7UsYq5Xe6-7ScyRKH/view?usp=sharing) [[Demo]](https://youtu.be/3lh6pFT349E) [[Media Post]](https://news.microsoft.com/apac/features/ai-and-cargo-shipping-full-speed-ahead-for-global-maritime-trade/) [[MARO]](https://github.com/microsoft/maro)
-- Meng Zou, **Xihan Li**, Haokun Liu, and Zhihong Deng. "[MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation.](http://www.aclweb.org/anthology/C18-1109)". In *Proceedings of the 27th International Conference on Computational Linguistics* (COLING 2018), 1281–1291. Santa Fe, New Mexico, USA: Association for Computational Linguistics, 2018. [[pdf]](http://www.aclweb.org/anthology/C18-1109)
-- Jiasheng Wang, Ke Ding, Yujie Chen, Lifeng Zhang, Zukai Liu, Angli Xue, Wenjia Gu, Xiaoyue Yang, **Xihan Li**, Jin Huang, Congcong Xing, Yunlong Cao, and Ming Chen. "[Detection of thrombin with an aptamer-based macromolecule biosensor using bacterial ghost system.](http://pubs.acs.org/doi/abs/10.1021/sb500018f)" *ACS synthetic biology* 3.12 (2014): 963-965. [[pdf]]({{site.url}}/assets/publications/Detection_of_Thrombin_with_an_Aptamer-Ba.pdf)
+- **Xihan Li**, Jia Zhang, Jiang Bian, Yunhai Tong and Tie-Yan Liu. "[A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network](http://www.ifaamas.org/Proceedings/aamas2019/forms/contents.htm#4A)". In *Proceedings of the 18th International Conference on Autonomous Agents and Multiagent Systems* (AAMAS '19). International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, 980–988. [[PDF (with appendix)]](https://arxiv.org/pdf/1903.00714.pdf) [[ACM DL]](https://dl.acm.org/doi/abs/10.5555/3306127.3331794) [[Slide]](https://drive.google.com/file/d/1D0ePPiuKKPD2klIu4lbTAJFHJ__vZXiS/view?usp=sharing) [[Poster]](https://drive.google.com/file/d/1tuJiH75KeLG9pA-7UsYq5Xe6-7ScyRKH/view?usp=sharing) [[Demo]](https://youtu.be/3lh6pFT349E) [[Media Post]](https://news.microsoft.com/apac/features/ai-and-cargo-shipping-full-speed-ahead-for-global-maritime-trade/) [[MARO]](https://github.com/microsoft/maro)
+- Meng Zou, **Xihan Li**, Haokun Liu, and Zhihong Deng. "[MEMD: A Diversity-Promoting Learning Framework for Short-Text Conversation.](http://www.aclweb.org/anthology/C18-1109)". In *Proceedings of the 27th International Conference on Computational Linguistics* (COLING 2018), 1281–1291. Santa Fe, New Mexico, USA: Association for Computational Linguistics, 2018. [[PDF]](https://aclanthology.org/C18-1109.pdf)
+- Jiasheng Wang, Ke Ding, Yujie Chen, Lifeng Zhang, Zukai Liu, Angli Xue, Wenjia Gu, Xiaoyue Yang, **Xihan Li**, Jin Huang, Congcong Xing, Yunlong Cao, and Ming Chen. "[Detection of thrombin with an aptamer-based macromolecule biosensor using bacterial ghost system.](http://pubs.acs.org/doi/abs/10.1021/sb500018f)" *ACS synthetic biology* 3.12 (2014): 963-965. [[PDF]]({{site.url}}/assets/publications/Detection_of_Thrombin_with_an_Aptamer-Ba.pdf)
 
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