1 citations · 1 across the 7 of their papers we have counts for
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Admission Without Answers: Label-Free Certification and Experience Learning for LLM-Based Optimization Modeling
Junbo Jacob Lian, Huiling Chen, Hanzhang Qin +1
Agents that learn from experience improve at optimization modeling by storing solved trajectories and reusing them as skills. A wrong trajectory that enters the library can be retr…
ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
Junbo Jacob Lian, Yujun Sun, Huiling Chen +3
Large language models (LLMs) can translate natural-language problem descriptions into optimization code, but the code is prone to silent failures: it executes and returns a solver-…
TwistNet-2D: Learning Second-Order Channel Interactions via Spiral Twisting for Texture Recognition
Junbo Jacob Lian, Feng Xiong, Yujun Sun +7
Second-order feature statistics are central to texture recognition, yet existing mechanisms exhibit a structural tension: bilinear pooling and Gram matrices capture global channel…
Wasserstein Evolution : Evolutionary Optimization as Phase Transition
Kaichen Ouyang, Mingyang Yu, Zong Ke +5
Evolutionary algorithms (EAs) serve as powerful black-box optimizers inspired by biological evolution. However, most existing EAs predominantly focus on heuristic operators such as…