代表性论文如下：

[1] 通讯作者. Constructing production equipment portraits and their realtime summarization for enabling automatic problem formulation in smart job scheduling[J]. Robotics and Computer-Integrated Manufacturing, 2026, 99: 103212. (IF: 11.4，中科院一区，Top)

[2] 通讯作者. A hierarchical strategy-optimized double deep Q-network for dynamic reentrant hybrid flow-shop scheduling problem with multi-stage batch processing machines[J]. Computers & Industrial Engineering, 2026, 211: 111630 (IF: 6.5，中科院一区，Top)

[3] 通讯作者. YOLO-HMC: An improved method for PCB surface defect detection[J]. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 1-11. (IF: 5.9，中科院二区，Top， ESI热点)

[4] 通讯作者. A novel production execution logic model with directed service node pairs and encapsulated service cells for efficient scheduling and simulation in discrete manufacturing shops[J]. Robotics and Computer-Integrated Manufacturing, 2025, 95: 103017 (IF: 11.4，中科院一区，Top)

[5] 通讯作者. A deep reinforcement learning method based on Hindsight experience replay for multi-objective dynamic job-shop scheduling problem[J]. Expert Systems with Applications, 2025, 284: 127989. (IF: 7.5，中科院一区，Top)

[6] 第一作者. A surrogate-assisted genetic programming with variable-distribution evolution for stochastic resource constrained project scheduling problem[J]. Computers & Industrial Engineering, 2025: 111489 (IF: 6.5，中科院一区，Top)

[7] 第一作者. A guided genetic programming with attribute node activation encoding for resource constrained project scheduling problem[J]. Swarm and Evolutionary Computation, 2023, 83: 101418. (IF: 8.5，中科院一区，Top)

[8] 第一作者. A surrogate-assisted dual-tree genetic programming framework for dynamic resource constrained multi-project scheduling problem[J]. International Journal of Production Research, 2024, 62(16): 5631-5653. (IF: 7.3，中科院二区，Top)

[9] 第一作者. A hyper-heuristic based ensemble genetic programming approach for stochastic resource constrained project scheduling problem[J]. Expert Systems with Applications, 2021, 167: 114174 (IF: 7.5，中科院一区，Top)

[10] 第一作者. A two-stage genetic programming framework for stochastic resource constrained multi-project scheduling problem under new project insertions[J]. Applied Soft Computing, 2022, 124: 109087 (IF: 6.6，中科院二区，Top)

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