| 2026 | AAAI | Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human-AI Collaboration. | Ye Zhang, Jinlong He, Dongjie Wang, Yupeng Zhou, Minghao Yin |
| 2026 | AAAI | Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics. | Yujiao Zhao, Yizhan Xiang, Jiangnan Li, Yiyuan Wang, Minghao Yin |
| 2026 | ACL | ManCC: A Task-Anchored Benchmark for Manchu-Classical Chinese Cross-Lingual Modeling. | Meiqi Wang, Xiaoxin Sun, Dongjie Wang, Ruixin Yu, Xiantao Heng, Shuo Wang, Zhen Huang, Peng Zhao, Suhua Wang, Minghao Yin |
| 2026 | KR | A Distributed Framework for Compiling and Reasoning with d-DNNF. | Zhenghang Xu, Minghao Yin, Jianan Wang, Jean-Marie Lagniez |
| 2025 | AAAI | Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems. | Jitao Xu, Yaling Wu, Hongbo Li, Minghao Yin |
| 2025 | AAAI | Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning. | Ye Zhang, Yanqi Gao, Dongjie Wang, Yupeng Zhou, Jinlong He, Zhaoyang Sun, Minghao Yin |
| 2025 | AAAI | Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models. | Guang Huang, Yanan Xiao, Lu Jiang, Minghao Yin, Pengyang Wang |
| 2025 | AAAI | DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem. | Jiaxin Liang, Junping Zhou, Minghao Yin |
| 2025 | KDD | Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer. | Runchang Liang, Qi Hao, Yue Gao, Kunpeng Liu, Lu Jiang, Pengyang Wang, Minghao Yin |
| 2025 | KR | An Embarrassingly Parallel Model Counter. | Zhenghang Xu, Minghao Yin, Jean-Marie Lagniez |
| 2025 | SIGGRAPH | Splat4D: Diffusion-Enhanced 4D Gaussian Splatting for Temporally and Spatially Consistent Content Creation. | Minghao Yin, Yukang Cao, Songyou Peng, Kai Han |
| 2025 | SAT | Scalable Precise Computation of Shannon Entropy. | Yong Lai, Haolong Tong, Zhenghang Xu, Minghao Yin |
| 2024 | AAAI | Enhance Diversified Top-k MaxSAT Solving by Incorporating New Strategy for Generating Diversified Initial Assignments (Student Abstract). | Jiaxin Liang, Junping Zhou, Minghao Yin |
| 2024 | AAAI | MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract). | Ye Zhang, Yanqi Gao, Yupeng Zhou, Jianan Wang, Minghao Yin |
| 2024 | AAAI | Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. | Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin, Pengyang Wang |
| 2024 | CVPR | IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM. | Minghao Yin, Shangzhe Wu, Kai Han |
| 2024 | IJCAI | Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. | Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu, Pengyang Wang, Minghao Yin |
| 2024 | IJCAI | Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem. | Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li, Minghao Yin |
| 2024 | IJCAI | Hierarchical Reinforcement Learning for Point of Interest Recommendation. | Yanan Xiao, Lu Jiang, Kunpeng Liu, Yuanbo Xu, Pengyang Wang, Minghao Yin |
| 2024 | MICCAI | LatentArtiFusion: An Effective and Efficient Histological Artifacts Restoration Framework. | Zhenqi He, Wenrui Liu, Minghao Yin, Kai Han |
| 2023 | AAAI | Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. | Lu Jiang, Yibin Wang, Jianan Wang, Pengyang Wang, Minghao Yin |
| 2023 | CP | Improving Local Search for Pseudo Boolean Optimization by Fragile Scoring Function and Deep Optimization. | Wenbo Zhou, Yujiao Zhao, Yiyuan Wang, Shaowei Cai, Shimao Wang, Xinyu Wang, Minghao Yin |
| 2023 | WWW | A Counterfactual Collaborative Session-based Recommender System. | Wenzhuo Song, Shoujin Wang, Yan Wang, Kunpeng Liu, Xueyan Liu, Minghao Yin |
| 2023 | SAT | LS-DTKMS: A Local Search Algorithm for Diversified Top-k MaxSAT Problem. | Junping Zhou, Jiaxin Liang, Minghao Yin, Bo He |
| 2022 | AAAI | An Exact Algorithm with New Upper Bounds for the Maximum k-Defective Clique Problem in Massive Sparse Graphs. | Jian Gao, Zhenghang Xu, Ruizhi Li, Minghao Yin |
| 2022 | AAAI | A Hybrid Evolutionary Algorithm for the Diversified Top-k Weight Clique Search Problem (Student Abstract). | Jun Wu, Minghao Yin |
| 2022 | AAAI | NukCP: An Improved Local Search Algorithm for Maximum k-Club Problem. | Jiejiang Chen, Yiyuan Wang, Shaowei Cai, Minghao Yin, Yupeng Zhou, Jieyu Wu |
| 2022 | AAAI | A Fast Local Search Algorithm for the Latin Square Completion Problem. | Shiwei Pan, Yiyuan Wang, Minghao Yin |
| 2022 | CP | A Portfolio-Based Approach to Select Efficient Variable Ordering Heuristics for Constraint Satisfaction Problems. | Hongbo Li, Yaling Wu, Minghao Yin, Zhanshan Li |
| 2022 | ICDM | Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning. | Yanan Xiao, Minyu Liu, Zichen Zhang, Lu Jiang, Minghao Yin, Jianan Wang |
| 2022 | IJCAI | HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-k Weight Clique Search Problem. | Jun Wu, Chu Min Li, Yupeng Zhou, Minghao Yin, Xin Xu, Dangdang Niu |
| 2022 | IJCAI | AllSATCC: Boosting AllSAT Solving with Efficient Component Analysis. | Jiaxin Liang, Feifei Ma, Junping Zhou, Minghao Yin |
| 2021 | AAAI | NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem. | Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin, Mengyu Zhao, Minghao Yin |
| 2021 | AAAI | Local Search for Diversified Top-k s-plex Search Problem (Student Abstract). | Jun Wu, Minghao Yin |
| 2021 | CP | Failure Based Variable Ordering Heuristics for Solving CSPs (Short Paper). | Hongbo Li, Minghao Yin, Zhanshan Li |
| 2021 | SDM | EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. | Lu Jiang, Pengyang Wang, Ke Cheng, Kunpeng Liu, Minghao Yin, Bo Jin, Yanjie Fu |
| 2020 | AAAI | Finding Good Subtrees for Constraint Optimization Problems Using Frequent Pattern Mining. | Hongbo Li, Jimmy Lee, He Mi, Minghao Yin |
| 2020 | AAAI | Reduction and Local Search for Weighted Graph Coloring Problem. | Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin |
| 2020 | AAAI | Contention-Aware Mapping and Scheduling Optimization for NoC-Based MPSoCs (Student Abstract). | Yupeng Zhou, Rongjie Yan, Anyu Cai, Yige Yan, Minghao Yin |
| 2020 | CIKM | Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. | Bo Jin, Ke Cheng, Liang Zhang, Yanjie Fu, Minghao Yin, Lu Jiang |
| 2020 | ECCV | Disentangled Non-local Neural Networks. | Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu |
| 2020 | ICDM | Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. | Xiaosa Zhao, Kunpeng Liu, Wei Fan, Lu Jiang, Xiaowei Zhao, Minghao Yin, Yanjie Fu |
| 2019 | DASFAA | Finding the Key Influences on the House Price by Finite Mixture Model Based on the Real Estate Data in Changchun. | Xin Xu, Zeyu Huang, Jingyi Wu, Yanjie Fu, Na Luo, Weitong Chen, Jianan Wang, Minghao Yin |
| 2019 | DASFAA | A Mimic Learning Method for Disease Risk Prediction with Incomplete Initial Data. | Lin Yue, Haonan Zhao, Yiqin Yang, Dongyuan Tian, Xiaowei Zhao, Minghao Yin |
| 2018 | AAAI | NuMWVC: A Novel Local Search for Minimum Weighted Vertex Cover Problem. | Ruizhi Li, Shaowei Cai, Shuli Hu, Minghao Yin, Jian Gao |
| 2018 | ICDM | Dr. Right!: Embedding-Based Adaptively-Weighted Mixture Multi-classification Model for Finding Right Doctors with Healthcare Experience Data. | Xin Xu, Yanjie Fu, Haoyi Xiong, Bo Jin, Xiaolin Li, Shuli Hu, Minghao Yin |
| 2018 | IJCAI | An Exact Algorithm for Maximum k-Plexes in Massive Graphs. | Jian Gao, Jiejiang Chen, Minghao Yin, Rong Chen, Yiyuan Wang |
| 2018 | IJCAI | A Fast Local Search Algorithm for Minimum Weight Dominating Set Problem on Massive Graphs. | Yiyuan Wang, Shaowei Cai, Jiejiang Chen, Minghao Yin |
| 2018 | KSEM | A Timeline Representation for the Jade Rabbit Rover. | Dunbo Cai, Yuhui Gao, Wei Gao, Minghao Yin |
| 2017 | CP | Integrating ILP and SMT for Shortwave Radio Broadcast Resource Allocation and Frequency Assignment. | Linjie Pan, Ji-Wei Jin, Xin Gao, Wei Sun, Feifei Ma, Minghao Yin, Jian Zhang |
| 2017 | FAW | The Broken-Triangle Property with Adjoint Values. | Jian Gao, Rong Chen, Minghao Yin, Hui Li |
| 2017 | FAW | Phase Transition for Maximum Not-All-Equal Satisfiability. | Junping Zhou, Shuli Hu, Tingting Zou, Minghao Yin |
| 2017 | IJCAI | New Canonical Representations by Augmenting OBDDs with Conjunctive Decomposition (Extended Abstract). | Yong Lai, Dayou Liu, Minghao Yin |
| 2017 | IJCAI | Local Search for Minimum Weight Dominating Set with Two-Level Configuration Checking and Frequency Based Scoring Function (Extended Abstract). | Yiyuan Wang, Shaowei Cai, Minghao Yin |
| 2017 | ICTAI | A Hybrid Multi-objective Evolutionary Algorithm for Energy-Aware Allocation and Scheduling Optimization of MPSoCs. | Rongjie Yan, Yupeng Zhou, Yige Yan, Minghao Yin, Min Yu, Feifei Ma, Kai Huang |
| 2016 | AAAI | Two Efficient Local Search Algorithms for Maximum Weight Clique Problem. | Yiyuan Wang, Shaowei Cai, Minghao Yin |
| 2016 | CP | Optimizing Shortwave Radio Broadcast Resource Allocation via Pseudo-Boolean Constraint Solving and Local Search. | Feifei Ma, Xin Gao, Minghao Yin, Linjie Pan, Ji-Wei Jin, Hai Liu, Jian Zhang |
| 2015 | CEC | A genetic algorithm for the distributed assembly permutation flowshop scheduling problem. | Xiangtao Li, Xin Zhang, Minghao Yin, Jianan Wang |
| 2015 | FAW | Approximate Model Counting via Extension Rule. | Jinyan Wang, Minghao Yin, Jingli Wu |
| 2012 | AAIM | The Worst-Case Upper Bound for Exact 3-Satisfiability with the Number of Clauses as the Parameter. | Junping Zhou, Minghao Yin |
| 2011 | AAAI | Hybrid Tractable Classes of Binary Quantified Constraint Satisfaction Problems. | Jian Gao, Minghao Yin, Junping Zhou |
| 2011 | AAAI | Exact Phase Transitions and Approximate Algorithm of #CSP. | Ping Huang, Minghao Yin, Ke Xu |
| 2011 | AAAI | On the Discovery and Utility of Precedence Constraints in Temporal Planning. | Yanmei Hu, Minghao Yin, Dunbo Cai |
| 2011 | SAT | Phase Transitions in Knowledge Compilation: An Experimental Study. | Jian Gao, Minghao Yin, Ke Xu |
| 2010 | AAAI | New Worst-Case Upper Bound for #2-SAT and #3-SAT with the Number of Clauses as the Parameter. | Junping Zhou, Minghao Yin, Chunguang Zhou |
| 2010 | CEC | An effective GSA based memetic algorithm for permutation flow shop scheduling. | Xiangtao Li, Jianan Wang, Junping Zhou, Minghao Yin |
| 2008 | AAAI | Conformant Planning Heuristics Based on Plan Reuse in Belief States. | Dunbo Cai, Jigui Sun, Minghao Yin |
| 2007 | AAAI | Counting Models using Extension Rules. | Minghao Yin, Hai Lin, Jigui Sun |
| 2007 | ICNC | Making FF Faster in ADL Domains. | Dunbo Cai, Jigui Sun, Minghao Yin |
| 2007 | IFSA | Solving Planning Under Uncertainty: Quantitative and Qualitative Approach. | Minghao Yin, Jianan Wang, Wenxiang Gu |
| 2006 | ICNC | Solving Uncertain Markov Decision Problems: An Interval-Based Method. | Shulin Cui, Jigui Sun, Minghao Yin, Shuai Lu |
| 2004 | SMC | Fast plan recognition through graph construction and analysis. | Minghao Yin, Wen-Xiang Gu, Yinghua Lu |