Shengchao Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
8
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment. | Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao |
| 2026 | ACL | Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression. | Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Cong Wang, Chao Shen |
| 2025 | ICLR | AssembleFlow: Rigid Flow Matching with Inertial Frames for Molecular Assembly. | Hongyu Guo, Yoshua Bengio, Shengchao Liu |
| 2024 | ACL | Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better. | Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen |
| 2024 | ICLR | Conversational Drug Editing Using Retrieval and Domain Feedback. | Shengchao Liu, Jiongxiao Wang, Yijin Yang, Chengpeng Wang, Ling Liu, Hongyu Guo, Chaowei Xiao |
| 2024 | ICLR | Improving Domain Generalization with Domain Relations. | Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh, Chelsea Finn |
| 2024 | SC | MProt-DPO: Breaking the ExaFLOPS Barrier for Multimodal Protein Design Workflows with Direct Preference Optimization. | Gautham Dharuman, Kyle Hippe, Alexander Brace, Sam Foreman, Vin Hatanp, Varuni K. Sastry, Huihuo Zheng, Logan T. Ward, Servesh Muralidharan, Archit Vasan, Bharat Kale, Carla M. Mann, Heng Ma, Yun-Hsuan Cheng, Yuliana Zamora, Shengchao Liu, Chaowei Xiao, Murali Emani, Tom Gibbs, Mahidhar Tatineni, Deepak Canchi, Jerome Mitchell, Koichi Yamada, Maria Garzaran, Michael E. Papka, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, Arvind Ramanathan |
| 2023 | AAAI | Flaky Performances When Pretraining on Relational Databases (Student Abstract). | Shengchao Liu, David Vzquez, Jian Tang, Pierre-Andr Nol |
| 2023 | ECAI | An Empirical Study of Retrieval-Enhanced Graph Neural Networks. | Dingmin Wang, Shengchao Liu, Hanchen Wang, Bernardo Cuenca Grau, Linfeng Song, Jian Tang, Le Song, Qi Liu |
| 2023 | ICLR | Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching. | Shengchao Liu, Hongyu Guo, Jian Tang |
| 2023 | ICML | A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining. | Shengchao Liu, Weitao Du, Zhi-Ming Ma, Hongyu Guo, Jian Tang |
| 2022 | AISTATS | Structured Multi-task Learning for Molecular Property Prediction. | Shengchao Liu, Meng Qu, Zuobai Zhang, Huiyu Cai, Jian Tang |
| 2022 | ICLR | Pre-training Molecular Graph Representation with 3D Geometry. | Shengchao Liu, Hanchen Wang, Weiyang Liu, Joan Lasenby, Hongyu Guo, Jian Tang |
| 2021 | AAAI | Neural Sentence Ordering Based on Constraint Graphs. | Yutao Zhu, Kun Zhou, Jian-Yun Nie, Shengchao Liu, Zhicheng Dou |
| 2020 | ICML | Learning to Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning. | Sai Krishna Gottipati, Boris Sattarov, Sufeng Niu, Yashaswi Pathak, Haoran Wei, Shengchao Liu, Simon Blackburn, Karam M. J. Thomas, Connor W. Coley, Jian Tang, Sarath Chandar, Yoshua Bengio |
| 2019 | AAAI | Loss-Balanced Task Weighting to Reduce Negative Transfer in Multi-Task Learning. | Shengchao Liu, Yingyu Liang, Anthony Gitter |
| 2018 | LCN | A Multi-dimension Measurement Study of a Large Scale Campus WiFi Network. | Congcong Miao, Jilong Wang, Hui Wang, Jun Zhang, Weiwei Zhou, Shengchao Liu |