An Iterative Refined Max-sum_AD Algorithm via Single-side Value Propagation and Local Search. - Ziyu Chen; Yanchen Deng; Tengfei Wu (AAMAS, 2017)

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

A class of iterative refined Max-sum algorithms via non-consecutive value propagation strategies. - Ziyu Chen; Yanchen Deng; Tengfei Wu; Zhongshi He (Auton. Agents Multi Agent Syst., 2018)

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 (AAAI, 2019)

PT-ISABB: A Hybrid Tree-based Complete Algorithm to Solve Asymmetric Distributed Constraint Optimization Problems. - Yanchen Deng; Ziyu Chen; Dingding Chen; Xingqiong Jiang; Qiang Li (AAMAS, 2019)

AsymDPOP: Complete Inference for Asymmetric Distributed Constraint Optimization Problems. - Yanchen Deng; Ziyu Chen; Dingding Chen; Wenxin Zhang 002; Xingqiong Jiang (IJCAI, 2019)

A Generic Approach for Accelerating Belief Propagation based DCOP Algorithms via A Branch-and-Bound Technique. - Ziyu Chen; Xingqiong Jiang; Yanchen Deng; Dingding Chen; Zhongshi He (CoRR, 2019)

HS-CAI: A Hybrid DCOP Algorithm via Combining Search with Context-Based Inference. - Dingding Chen; Yanchen Deng; Ziyu Chen; Wenxin Zhang 002; Zhongshi He (AAAI, 2020)

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inference. - Ziyu Chen; Wenxin Zhang 002; Yanchen Deng; Dingding Chen; Qiang Li (AAMAS, 2020)

Battery Management for Automated Warehouses via Deep Reinforcement Learning. - Yanchen Deng; Bo An 001; Zongmin Qiu; Liuxi Li; Yong Wang; Yinghui Xu (DAI, 2020)

Speeding Up Incomplete GDL-based Algorithms for Multi-agent Optimization with Dense Local Utilities. - Yanchen Deng; Bo An 001 (IJCAI, 2020)

A hybrid tree-based algorithm to solve asymmetric distributed constraint optimization problems. - Dingding Chen; Yanchen Deng; Ziyu Chen; Zhongshi He; Wenxin Zhang 002 (Auton. Agents Multi Agent Syst., 2020)

RMB-DPOP: Refining MB-DPOP by Reducing Redundant Inferences. - Ziyu Chen; Wenxin Zhang 002; Yanchen Deng; Dingding Chen; Qing Li (CoRR, 2020)

Neural Regret-Matching for Distributed Constraint Optimization Problems. - Yanchen Deng; Runsheng Yu; Xinrun Wang; Bo An 001 (IJCAI, 2021)

Utility distribution matters: enabling fast belief propagation for multi-agent optimization with dense local utility function. - Yanchen Deng; Bo An 001 (Auton. Agents Multi Agent Syst., 2021)

Pretrained Cost Model for Distributed Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Bo An 001 (AAAI, 2022)

Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems. - Yanchen Deng; Shufeng Kong; Caihua Liu; Bo An 001 (NeurIPS, 2022)

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. - Hao Cheng 014; Shufeng Kong; Yanchen Deng; Caihua Liu; Xiaohu Wu; Bo An 001; Chongjun Wang (IJCAI, 2023)

Inference-based complete algorithms for asymmetric distributed constraint optimization problems. - Dingding Chen; Ziyu Chen; Yanchen Deng; Zhongshi He; Lulu Wang 013 (Artif. Intell. Rev., 2023)

Factor Graph Neural Network Meets Max-Sum: A Real-Time Route Planning Algorithm for Massive-Scale Trips. - Yixuan Li; Wanyuan Wang; Weiyi Xu; Yanchen Deng; Weiwei Wu 001 (AAMAS, 2024)

Deep reinforcement learning for multi-objective game strategy selection. - Ruhao Jiang; Yanchen Deng; Yingying Chen; He Luo; Bo An 001 (Comput. Oper. Res., 2024)

Q*: Improving Multi-step Reasoning for LLMs with Deliberative Planning. - Chaojie Wang 001; Yanchen Deng; Zhiyi Lv; Zeng Liang; Jujie He; Shuicheng Yan; Bo An 001 (CoRR, 2024)

Stock complex networks based on the GA-LightGBM model: The prediction of firm performance. - Chuangxia Huang; Yaqian Cai; Jinde Cao; Yanchen Deng (Inf. Sci., 2025)

Nondeterministic Polynomial-time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs. - Chang Yang; Ruiyu Wang; Junzhe Jiang 002; Qi Jiang; Qinggang Zhang; Yanchen Deng; Shuxin Li 001; Shuyue Hu; Bo Li 037; Florian T. Pokorny; Xiao Huang 001; Xinrun Wang (CoRR, 2025)

AutoMAT: A Hierarchical Framework for Autonomous Alloy Discovery. - Penghui Yang 001; Chendong Zhao; Bijun Tang; Zhonghan Zhang; Xinrun Wang; Yanchen Deng; Yuhao Lu; Cuntai Guan; Zheng Liu; Bo An 001 (CoRR, 2025)

Collab-Solver: Collaborative Solving Policy Learning for Mixed-Integer Linear Programming. - Siyuan Li 003; Yifan Yu; Yanchen Deng; Zhihao Zhang; Mengjing Chen; Fangzhou Zhu; Tao Zhong 004; Jianye Hao; Peng Liu 008; Bo An 001 (CoRR, 2025)

GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization. - Yanchen Deng; Xinrun Wang; Bo An 001 (CoRR, 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 001 (CoRR, 2025)