How a Constraint-Aware Multi-Agent System Won the IJCAI Travel Planning Challenge

Leveraging a proprietary “large model + optimization” approach, Alibaba’s Ant Group and East China Normal University built a constraint-aware multi-agent framework that secured first place in the Original OS track and second in the DSL track of the IJCAI-2025 Autonomous Travel Planning Competition.

AI OptimizationIJCAILarge Language Models

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How a Constraint-Aware Multi-Agent System Won the IJCAI Travel Planning Challenge

JD Retail Technology

Jun 13, 2018 · Artificial Intelligence

IJCAI 2018 International Advertising Algorithm Competition Champion Uses Transfer Learning and LightGBM for Ad Conversion Prediction

The IJCAI 2018 International Advertising Algorithm Competition was won by JD.com algorithm engineer Hua Zhixiang, who employed a two‑stage LightGBM model with transfer learning and carefully designed statistical, temporal, ranking, and representation features to achieve top conversion‑rate predictions on massive e‑commerce advertising data.

AdvertisingIJCAILightGBM

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IJCAI 2018 International Advertising Algorithm Competition Champion Uses Transfer Learning and LightGBM for Ad Conversion Prediction

Alibaba Cloud Developer

Aug 19, 2017 · Artificial Intelligence

Alibaba’s 11 IJCAI 2017 Papers: Cutting‑Edge AI Research Highlights

Alibaba secured 11 paper acceptances at IJCAI 2017, showcasing advances in visual odometry, facade parsing, object tracking, optical flow, co‑saliency detection, zero‑shot learning, factorization machines, recommendation, multitask similarity learning, and AI applications in e‑commerce, reflecting its growing AI research footprint.

AlibabaIJCAIResearch Papers

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Alibaba’s 11 IJCAI 2017 Papers: Cutting‑Edge AI Research Highlights