Jian Li | IJCAI

the College of Intelligence Science and Technology , National University of Defense Technology , China

15 papers in the IJCAI proceedings

IJCAI 2026

Sharp-Wave Ripples Learning: A Bio-Inspired Incremental Learning Method

with Yi Sun, Xiaochang Hu, Wenzhuo Zhang, Zhiwei Wang, Jiting Li, Xu Xin, jia jun

doi:10.24963/ijcai.2026/545

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IJCAI 2024

IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making

with Hui Niu, Siyuan Li, Jiahao Zheng, Zhouchi Lin, Bo An, Jian Guo

doi:10.24963/ijcai.2024/663

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MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning

with Hui Niu, Siyuan Li

doi:10.24963/ijcai.2024/664

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Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling

with Liang Zeng, Lei Wang, Hui Niu, Ruchen Zhang, Ling Wang

doi:10.24963/ijcai.2024/678

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IJCAI 2023

Towards Generalizable Reinforcement Learning for Trade Execution

with Chuheng Zhang, Yitong Duan, Xiaoyu Chen, Jianyu Chen, Li Zhao

doi:10.24963/ijcai.2023/553

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Towards Sharp Analysis for Distributed Learning with Random Features

with Yong Liu

doi:10.24963/ijcai.2023/436

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Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance

with Zheyu Zhang, Tianping Zhang

doi:10.24963/ijcai.2023/515

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IJCAI 2022

Ridgeless Regression with Random Features

with Yong Liu, Yingying Zhang

doi:10.24963/ijcai.2022/445

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IJCAI 2019

AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN

with Li Zheng, Zhenpeng Li, Zhao Li, Jun Gao

doi:10.24963/ijcai.2019/614

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Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis

with Yong Liu, Rong Yin, Weiping Wang

doi:10.24963/ijcai.2019/400

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Gradient Boosting with Piece-Wise Linear Regression Trees

with Yu Shi, Zhize Li

doi:10.24963/ijcai.2019/476

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Multi-Class Learning using Unlabeled Samples: Theory and Algorithm

with Yong Liu, Rong Yin, Weiping Wang

doi:10.24963/ijcai.2019/399

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IJCAI 2018

Code Completion with Neural Attention and Pointer Networks

with Yue Wang, Michael R. Lyu, Irwin King

doi:10.24963/ijcai.2018/578

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IJCAI 2017

Efficient Kernel Selection via Spectral Analysis

with Yong Liu, Hailun Lin, Yinliang Yue, Weiping Wang

doi:10.24963/ijcai.2017/295

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Single-Pass PCA of Large High-Dimensional Data

with Wenjian Yu, Yu Gu, Shenghua Liu, Yaohang Li

doi:10.24963/ijcai.2017/468

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