Analysis of frequency characteristic of surface permanent magnet synchronous machine. - Shoushou Zhang; Celestine Iwendi; Siyuan Guo (ICIT, 2018)

Teams Frightened of Failure Fail More: Modelling Reward Sensitivity in Teamwork. - Siyuan Guo; Soo Ling Lim; Peter J. Bentley (SSCI, 2020)

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. - Siyuan Guo; Lixin Zou; Yiding Liu; Wenwen Ye; Suqi Cheng; Shuaiqiang Wang; Hechang Chen; Dawei Yin; Yi Chang 001 (SIGIR, 2021)

Automatic segmentation of bioabsorbable vascular stents in Intravascular optical coherence images using weakly supervised attention network. - Chenxi Huang 001; Guokai Zhang; Yiwen Lu; Yisha Lan; Sirui Chen; Siyuan Guo (Future Gener. Comput. Syst., 2021)

TAERT: Triple-Attentional Explainable Recommendation with Temporal Convolutional Network. - Siyuan Guo; Ying Wang 009; Hao Yuan; Zeyu Huang; Jianwei Chen; Xin Wang 035 (Inf. Sci., 2021)

Fusing Geometric and Scene Information for Cross-View Geo-Localization. - Siyuan Guo; Tianying Liu; Wengen Li; Jihong Guan; Shuigeng Zhou (CIKM, 2022)

Dataflow graphs as complete causal graphs. - Andrei Paleyes; Siyuan Guo; Bernhard Schölkopf; Neil D. Lawrence (CAIN, 2023)

On the Interventional Kullback-Leibler Divergence. - Jonas Bernhard Wildberger; Siyuan Guo; Arnab Bhattacharyya 001; Bernhard Schölkopf (CLeaR, 2023)

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data. - Siyuan Guo; Viktor Tóth; Bernhard Schölkopf; Ferenc Huszar (NeurIPS, 2023)

Learning Generalizable Agents via Saliency-guided Features Decorrelation. - Sili Huang; Yanchao Sun; Jifeng Hu; Siyuan Guo; Hechang Chen; Yi Chang 001; Lichao Sun 001; Bo Yang 002 (NeurIPS, 2023)

Out-of-Variable Generalization. - Siyuan Guo; Jonas Wildberger; Bernhard Schölkopf (CoRR, 2023)

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning. - Jifeng Hu; Yanchao Sun; Sili Huang; Siyuan Guo; Hechang Chen; Li Shen 008; Lichao Sun 001; Yi Chang 001; Dacheng Tao (CoRR, 2023)

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning. - Siyuan Guo; Yanchao Sun; Jifeng Hu; Sili Huang; Hechang Chen; Haiyin Piao; Lichao Sun 001; Yi Chang 001 (CoRR, 2023)

A cascaded refined rgb-d salient object detection network based on the attention mechanism. - Guanyu Zong; Longsheng Wei; Siyuan Guo; Yongtao Wang (Appl. Intell., 2023)

CausalCite: A Causal Formulation of Paper Citations. - Ishan Kumar; Zhijing Jin 001; Ehsan Mokhtarian; Siyuan Guo; Yuen Chen; Negar Kiyavash; Mrinmaya Sachan; Bernhard Schölkopf (ACL (Findings), 2024)

Research on Epidemic Tracking Method Based on Reinforcement Learning. - Siyuan Guo; Huaicheng Yan 001; Yue Li 004; Bai Ke; Zhichen Li (ASCC, 2024)

Pragmatic Fairness: Developing Policies with Outcome Disparity Control. - Limor Gultchin; Siyuan Guo; Alan Malek; Silvia Chiappa; Ricardo Silva 001 (CLeaR, 2024)

Mongolian Pronunciation Data Enhancement Method Based on Separation Contrast Learning. - Siyuan Guo; Zhiqiang Ma; Jiaqi Sun; Yixiong Qin (IALP, 2024)

Out-of-Variable Generalisation for Discriminative Models. - Siyuan Guo; Jonas Bernhard Wildberger; Bernhard Schölkopf (ICLR, 2024)

DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. - Siyuan Guo; Cheng Deng; Ying Wen 001; Hechang Chen; Yi Chang 001; Jun Wang 012 (ICML, 2024)

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving. - Aniket Didolkar; Anirudh Goyal; Nan Rosemary Ke; Siyuan Guo; Michal Valko; Timothy P. Lillicrap; Danilo Jimenez Rezende; Yoshua Bengio; Michael C. Mozer; Sanjeev Arora (NeurIPS, 2024)

Do Finetti: On Causal Effects for Exchangeable Data. - Siyuan Guo; Chi Zhang; Karthika Mohan; Ferenc Huszar; Bernhard Schölkopf (NeurIPS, 2024)

Learning Beyond Pattern Matching? Assaying Mathematical Understanding in LLMs. - Siyuan Guo; Aniket Didolkar; Nan Rosemary Ke; Anirudh Goyal; Ferenc Huszár; Bernhard Schölkopf (CoRR, 2024)

LDDG: Long-distance dependent and dual-stream guided feature fusion network for co-saliency object detection. - Longsheng Wei; Siyuan Guo; Jiu Huang; Xuan Fan (Displays, 2024)

Self-triggered robust output feedback model predictive control of discrete-time linear systems. - Siyuan Guo; Zhichen Li; Zhe Li; Huaicheng Yan 001; Hao Zhang 007 (Int. J. Control, 2024)

Diffusing on Two Levels and Optimizing for Multiple Properties: A Novel Approach to Generating Molecules With Desirable Properties. - Siyuan Guo; Jihong Guan; Shuigeng Zhou (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

Sample Efficient Offline-to-Online Reinforcement Learning. - Siyuan Guo; Lixin Zou; Hechang Chen; Bohao Qu; Haotian Chi; Philip S. Yu; Yi Chang 001 (IEEE Trans. Knowl. Data Eng., 2024)

GBR-Sort: A Robust and Efficient Online Multi-Object Tracking Method for Campus Safety. - Siyuan Guo; Jun Li (CSCWD, 2025)

Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning. - Patrik Reizinger; Siyuan Guo; Ferenc Huszár; Bernhard Schölkopf; Wieland Brendel (ICLR, 2025)

M3-20M: A large-scale multi-modal molecule dataset for AI-driven drug design and discovery. - Siyuan Guo; Lexuan Wang; Chang Jin; Jinxian Wang; Han Peng; Huayang Shi; Wengen Li; Jihong Guan; Shuigeng Zhou (J. Bioinform. Comput. Biol., 2025)

Effective and Explainable Molecular Property Prediction by Chain-of-Thought Enabled Large Language Models and Multi-Modal Molecular Information Fusion. - Chang Jin; Siyuan Guo; Shuigeng Zhou; Jihong Guan (J. Chem. Inf. Model., 2025)

Optimizing Case-Based Reasoning System for Functional Test Script Generation with Large Language Models. - Siyuan Guo; Huiwu Liu; Xiaolong Chen; Yuming Xie; Liang Zhang; Tao Han; Hechang Chen; Yi Chang 001; Jun Wang 012 (CoRR, 2025)

Decision Flow Policy Optimization. - Jifeng Hu; Sili Huang; Siyuan Guo; Zhaogeng Liu; Li Shen 008; Lichao Sun 001; Hechang Chen; Yi Chang 001; Dacheng Tao (CoRR, 2025)

Ambient haptics: bilateral interaction among human, machines and virtual/real environments in pervasive computing era. - Liangyue Han; Naqash Afzal; Ziqi Wang 012; Zemin Wang; Tianhao Jin; Siyuan Guo; Haoqin Gong; Dangxiao Wang (CCF Trans. Pervasive Comput. Interact., 2025)

Counterfactual reasoning: an analysis of in-context emergence. - Moritz Miller; Bernhard Schölkopf; Siyuan Guo (CoRR, 2025)

Do-PFN: In-Context Learning for Causal Effect Estimation. - Jake Robertson; Arik Reuter; Siyuan Guo; Noah Hollmann; Frank Hutter; Bernhard Schölkopf (CoRR, 2025)

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning. - Patrik Reizinger; Bálint Mucsányi; Siyuan Guo; Benjamin Eysenbach; Bernhard Schölkopf; Wieland Brendel (CoRR, 2025)