Deng, Yanchen

11 publications

TMLR 2026 Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

NeurIPS 2025 Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Zhiyi Lyu, Jianguo Huang, Yanchen Deng, Steven Hoi, Bo An

IJCAI 2023 Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang

NeurIPS 2022 Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Caihua Liu, Bo An

AAAI 2022 Pretrained Cost Model for Distributed Constraint Optimization Problems Yanchen Deng, Shufeng Kong, Bo An

IJCAI 2021 Neural Regret-Matching for Distributed Constraint Optimization Problems Yanchen Deng, Runsheng Yu, Xinrun Wang, Bo An

AAAI 2020 HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference Dingding Chen, Yanchen Deng, Ziyu Chen, Wenxin Zhang, Zhongshi He

IJCAI 2020 Speeding up Incomplete GDL-Based Algorithms for Multi-Agent Optimization with Dense Local Utilities Yanchen Deng, Bo An

AAAI 2019 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique Ziyu Chen, Xingqiong Jiang, Yanchen Deng, Dingding Chen, Zhongshi He

IJCAI 2019 AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems Yanchen Deng, Ziyu Chen, Dingding Chen, Wenxin Zhang, Xingqiong Jiang

AAAI 2018 An Ant-Based Algorithm to Solve Distributed Constraint Optimization Problems Ziyu Chen, Tengfei Wu, Yanchen Deng, Cheng Zhang