Theoretical study on the isomeric structures and the stability of silylenoid (Tsi)Cl2SiLi (Tsi = C(SiMe3)3). - Ju Xie; Dacheng Feng; Shengyu Feng (J. Comput. Chem., 2006)

Memory Based Trajectory-conditioned Policies for Learning from Sparse Rewards. - Yijie Guo; Jongwook Choi; Marcin Moczulski; Shengyu Feng; Samy Bengio; Mohammad Norouzi 002; Honglak Lee (NeurIPS, 2020)

Batch Reinforcement Learning Through Continuation Method. - Yijie Guo; Shengyu Feng; Nicolas Le Roux; Ed H. Chi; Honglak Lee; Minmin Chen (ICLR, 2021)

X-GOAL: Multiplex Heterogeneous Graph Prototypical Contrastive Learning. - Baoyu Jing; Shengyu Feng; Yuejia Xiang; Xi Chen 003; Yu Chen; Hanghang Tong (CIKM, 2022)

Adversarial Graph Contrastive Learning with Information Regularization. - Shengyu Feng; Baoyu Jing; Yada Zhu; Hanghang Tong (WWW, 2022)

Concept Discovery for Fast Adaptation. - Shengyu Feng; Hanghang Tong (SDM, 2023)

Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs. - Shengyu Feng; Hesham Mostafa; Marcel Nassar; Somdeb Majumdar; Subarna Tripathi (WACV, 2023)

Concept Discovery for Fast Adapatation. - Shengyu Feng; Hanghang Tong (CoRR, 2023)

AI Surrogate Model for Distributed Computing Workloads. - David Keetae Park; Yihui Ren 001; Ozgur O. Kilic; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (SC Workshops, 2024)

ArieL: Adversarial Graph Contrastive Learning. - Shengyu Feng; Baoyu Jing; Yada Zhu; Hanghang Tong (ACM Trans. Knowl. Discov. Data, 2024)

SORREL: Suboptimal-Demonstration-Guided Reinforcement Learning for Learning to Branch. - Shengyu Feng; Yiming Yang (AAAI, 2025)

Step-by-Step Reasoning for Math Problems via Twisted Sequential Monte Carlo. - Shengyu Feng; Xiang Kong; Shuang Ma; Aonan Zhang; Dong Yin; Chong Wang; Ruoming Pang; Yiming Yang (ICLR, 2025)

Alternative Mixed Integer Linear Programming Optimization for Joint Job Scheduling and Data Allocation in Grid Computing. - Shengyu Feng; Jaehyung Kim 001; Yiming Yang; Joseph Boudreau; Tasnuva Chowdhury; Adolfy Hoisie; Raees Khan; Ozgur O. Kilic; Scott Klasky; Tatiana Korchuganova; Paul Nilsson; Verena Ingrid Martinez Outschoorn; et al. (CoRR, 2025)

Regularized Langevin Dynamics for Combinatorial Optimization. - Shengyu Feng; Yiming Yang (CoRR, 2025)

CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. - Weiwei Sun; Shengyu Feng; Shanda Li; Yiming Yang (CoRR, 2025)

A Comprehensive Evaluation of Contemporary ML-Based Solvers for Combinatorial Optimization. - Shengyu Feng; Weiwei Sun; Shanda Li; Ameet Talwalkar; Yiming Yang (CoRR, 2025)

Towards an Introspective Dynamic Model of Globally Distributed Computing Infrastructures. - Ozgur O. Kilic; David Keetae Park; Yihui Ren 001; Tatiana Korchuganova; Sairam Sri Vatsavai; Joseph Boudreau; Tasnuva Chowdhury; Shengyu Feng; Raees Khan; Jaehyung Kim 001; Scott Klasky; Tadashi Maeno; et al. (CoRR, 2025)