Decorrelated Clustering with Data Selection Bias. - Xiao Wang 017; Shaohua Fan; Kun Kuang; Chuan Shi 001; Jiawei Liu 006; Bai Wang 001 (IJCAI, 2020)

Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. - Cheng Yang 002; Jiawei Liu 006; Chuan Shi 001 (WWW, 2021)

A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. - Jiawei Liu 006; Chuan Shi 001; Cheng Yang 002; Zhiyuan Lu; Philip S. Yu (AI Open, 2022)

PD-Quant: Post-Training Quantization Based on Prediction Difference Metric. - Jiawei Liu 006; Lin Niu; Zhihang Yuan; Dawei Yang; Xinggang Wang; Wenyu Liu 001 (CVPR, 2023)

Abnormal Event Detection via Hypergraph Contrastive Learning. - Bo Yan 001; Cheng Yang 002; Chuan Shi 001; Jiawei Liu 006; Xiaochen Wang (SDM, 2023)

Learning to Distill Graph Neural Networks. - Cheng Yang 002; Yuxin Guo; Yao Xu; Chuan Shi 001; Jiawei Liu 006; Chunchen Wang; Xin Li 005; Ning Guo; Hongzhi Yin (WSDM, 2023)

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. - Zhihang Yuan; Jiawei Liu 006; Jiaxiang Wu 001; Dawei Yang; Qiang Wu 012; Guangyu Sun 003; Wenyu Liu 001; Xinggang Wang; Bingzhe Wu (CoRR, 2023)

RPTQ: Reorder-based Post-training Quantization for Large Language Models. - Zhihang Yuan; Lin Niu; Jiawei Liu 006; Wenyu Liu 001; Xinggang Wang; Yuzhang Shang; Guangyu Sun 003; Qiang Wu 012; Jiaxiang Wu 001; Bingzhe Wu (CoRR, 2023)

Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric. - Lin Niu; Jiawei Liu 006; Zhihang Yuan; Dawei Yang; Xinggang Wang; Wenyu Liu 001 (CoRR, 2023)

Towards Graph Foundation Models: A Survey and Beyond. - Jiawei Liu 006; Cheng Yang 003; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (CoRR, 2023)

Visual Text Generation in the Wild. - Yuanzhi Zhu; Jiawei Liu 006; Feiyu Gao; Wenyu Liu 001; Xinggang Wang; Peng Wang 028; Fei Huang 002; Cong Yao; Zhibo Yang 003 (ECCV (53), 2024)

PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing. - Feng Guo; Jiawei Liu 006; Jianwang Zhai; Jingyu Jia; Kang Zhao; Chuan Shi 001 (ACM Great Lakes Symposium on VLSI, 2024)

PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network. - Jiawei Liu 006; Jianwang Zhai; Mingyu Zhao; Zhe Lin 001; Bei Yu 001; Chuan Shi 001 (ICCAD, 2024)

Endowing Pre-trained Graph Models with Provable Fairness. - Zhongjian Zhang; Mengmei Zhang; Yue Yu 007; Cheng Yang 002; Jiawei Liu 006; Chuan Shi 001 (WWW, 2024)

Stabilized activation scale estimation for precise Post-Training Quantization. - Zhenyang Hao; Xinggang Wang; Jiawei Liu 006; Zhihang Yuan; Dawei Yang; Wenyu Liu 001 (Neurocomputing, 2024)

Graph foundation model. - Chuan Shi 001; Junze Chen; Jiawei Liu 006; Cheng Yang 002 (Frontiers Comput. Sci., 2024)

IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning. - Feng Guo; Jianwang Zhai; Jingyu Jia; Jiawei Liu 006; Kang Zhao; Bei Yu 001; Chuan Shi 001 (DATE, 2025)

WideGate: Beyond Directed Acyclic Graph Learning in Subcircuit Boundary Prediction. - Jiawei Liu 006; Zhiyan Liu; Xun He; Jianwang Zhai; Zhengyuan Shi; Qiang Xu 001; Bei Yu 001; Chuan Shi 001 (DATE, 2025)

MILS: Modality Interaction Driven Learning for Logic Synthesis. - Mingyu Zhao; Jiawei Liu 006; Jianwang Zhai; Chuan Shi 001 (ACM Great Lakes Symposium on VLSI, 2025)

SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild. - Jiawei Liu 006; Yuanzhi Zhu; Feiyu Gao; Zhibo Yang 003; Peng Wang 028; Junyang Lin; Xinggang Wang; Wenyu Liu 001 (CoRR, 2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey. - Bin Wu; Yihang Wang; Yuanhao Zeng; Jiawei Liu 006; Jiashu Zhao; Cheng Yang 002; Yawen Li 001; Long Xia; Dawei Yin; Chuan Shi 001 (CoRR, 2025)

Graph neural network based time estimator for SAT solver. - Jiawei Liu 006; Wenyi Xiao; Hongtao Cheng; Chuan Shi 001 (Int. J. Mach. Learn. Cybern., 2025)

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA. - Zhengyuan Shi; Zeju Li; Chengyu Ma; Yunhao Zhou; Ziyang Zheng; Jiawei Liu 006; Hongyang Pan; Lingfeng Zhou; Kezhi Li; Jiaying Zhu; Lingwei Yan; Zhiqiang He; et al. (CoRR, 2025)

Graph Foundation Models: Concepts, Opportunities and Challenges. - Jiawei Liu 006; Cheng Yang 002; Zhiyuan Lu; Junze Chen; Yibo Li; Mengmei Zhang; Ting Bai; Yuan Fang 001; Lichao Sun 001; Philip S. Yu; Chuan Shi 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits. - Shan Shen; Shenglu Hua; Jiajun Zou; Jiawei Liu 006; Jianwang Zhai; Chuan Shi 001; Wenjian Yu (CoRR, 2025)