Jiawei Liu - RankMe

33 papers A* 5A 6Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA. CoRR Zhengyuan Shi, Zeju Li, Chengyu Ma, Yunhao Zhou, Ziyang Zheng, Jiawei Liu, Hongyang Pan, Lingfeng Zhou, Kezhi Li, Jiaying Zhu, Lingwei Yan, Zhiqiang He, Chenhao Xue, Wentao Jiang, Fan Yang, Guangyu Sun, Xiaoyan Yang, Gang Chen, Chuan Shi, Zhufei Chu, Jun Yang, Qiang Xu
2025	J	`jnl`	Graph Foundation Models for Recommendation: A Comprehensive Survey. CoRR Bin Wu, Yihang Wang, Yuanhao Zeng, Jiawei Liu, Jiashu Zhao, Cheng Yang, Yawen Li, Long Xia, Dawei Yin, Chuan Shi
2025	J	`jnl`	Graph Foundation Models: Concepts, Opportunities and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2025	J	`jnl`	Graph neural network based time estimator for SAT solver. Int. J. Mach. Learn. Cybern. Jiawei Liu, Wenyi Xiao, Hongtao Cheng, Chuan Shi
2025	A	`conf`	IR-Fusion: A Fusion Framework for Static IR Drop Analysis Combining Numerical Solution and Machine Learning. DATE Feng Guo, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Bei Yu, Chuan Shi
2025	A*	`conf`	IRGNN: A Graph-based Framework Integrating Numerical Solution and Point Cloud for Static IR Drop Prediction. DAC Feng Guo, Yueyue Xi, Jianwang Zhai, Jingyu Jia, Jiawei Liu, Kang Zhao, Chuan Shi
2025	—	`conf`	MILS: Modality Interaction Driven Learning for Logic Synthesis. ACM Great Lakes Symposium on VLSI Mingyu Zhao, Jiawei Liu, Jianwang Zhai, Chuan Shi
2025	J	`jnl`	SceneVTG++: Controllable Multilingual Visual Text Generation in the Wild. CoRR Jiawei Liu, Yuanzhi Zhu, Feiyu Gao, Zhibo Yang, Peng Wang, Junyang Lin, Xinggang Wang, Wenyu Liu
2025	A	`conf`	Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits. ICCAD Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu
2025	J	`jnl`	Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits. CoRR Shan Shen, Shenglu Hua, Jiajun Zou, Jiawei Liu, Jianwang Zhai, Chuan Shi, Wenjian Yu
2025	A	`conf`	WideGate: Beyond Directed Acyclic Graph Learning in Subcircuit Boundary Prediction. DATE Jiawei Liu, Zhiyan Liu, Xun He, Jianwang Zhai, Zhengyuan Shi, Qiang Xu, Bei Yu, Chuan Shi
2024	A*	`conf`	Endowing Pre-trained Graph Models with Provable Fairness. WWW Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
2024	J	`jnl`	Endowing Pre-trained Graph Models with Provable Fairness. CoRR Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
2024	J	`jnl`	Graph foundation model. Frontiers Comput. Sci. Chuan Shi, Junze Chen, Jiawei Liu, Cheng Yang
2024	—	`conf`	PGAU: Static IR Drop Analysis for Power Grid using Attention U-Net Architecture and Label Distribution Smoothing. ACM Great Lakes Symposium on VLSI Feng Guo, Jiawei Liu, Jianwang Zhai, Jingyu Jia, Kang Zhao, Chuan Shi
2024	A	`conf`	PolarGate: Breaking the Functionality Representation Bottleneck of And-Inverter Graph Neural Network. ICCAD Jiawei Liu, Jianwang Zhai, Mingyu Zhao, Zhe Lin, Bei Yu, Chuan Shi
2024	J	`jnl`	Stabilized activation scale estimation for precise Post-Training Quantization. Neurocomputing Zhenyang Hao, Xinggang Wang, Jiawei Liu, Zhihang Yuan, Dawei Yang, Wenyu Liu
2024	—	`conf`	Visual Text Generation in the Wild. ECCV (53) Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, Zhibo Yang
2024	J	`jnl`	Visual Text Generation in the Wild. CoRR Yuanzhi Zhu, Jiawei Liu, Feiyu Gao, Wenyu Liu, Xinggang Wang, Peng Wang, Fei Huang, Cong Yao, Zhibo Yang
2023	A	`conf`	Abnormal Event Detection via Hypergraph Contrastive Learning. SDM Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
2023	J	`jnl`	Abnormal Event Detection via Hypergraph Contrastive Learning. CoRR Bo Yan, Cheng Yang, Chuan Shi, Jiawei Liu, Xiaochen Wang
2023	J	`jnl`	Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. CoRR Zhihang Yuan, Jiawei Liu, Jiaxiang Wu, Dawei Yang, Qiang Wu, Guangyu Sun, Wenyu Liu, Xinggang Wang, Bingzhe Wu
2023	J	`jnl`	Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric. CoRR Lin Niu, Jiawei Liu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu
2023	A	`conf`	Learning to Distill Graph Neural Networks. WSDM Cheng Yang, Yuxin Guo, Yao Xu, Chuan Shi, Jiawei Liu, Chunchen Wang, Xin Li, Ning Guo, Hongzhi Yin
2023	A*	`conf`	PD-Quant: Post-Training Quantization Based on Prediction Difference Metric. CVPR Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu
2023	J	`jnl`	RPTQ: Reorder-based Post-training Quantization for Large Language Models. CoRR Zhihang Yuan, Lin Niu, Jiawei Liu, Wenyu Liu, Xinggang Wang, Yuzhang Shang, Guangyu Sun, Qiang Wu, Jiaxiang Wu, Bingzhe Wu
2023	J	`jnl`	Towards Graph Foundation Models: A Survey and Beyond. CoRR Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi
2022	J	`jnl`	A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources. AI Open Jiawei Liu, Chuan Shi, Cheng Yang, Zhiyuan Lu, Philip S. Yu
2022	J	`jnl`	PD-Quant: Post-Training Quantization based on Prediction Difference Metric. CoRR Jiawei Liu, Lin Niu, Zhihang Yuan, Dawei Yang, Xinggang Wang, Wenyu Liu
2021	A*	`conf`	Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. WWW Cheng Yang, Jiawei Liu, Chuan Shi
2021	J	`jnl`	Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework. CoRR Cheng Yang, Jiawei Liu, Chuan Shi
2020	A*	`conf`	Decorrelated Clustering with Data Selection Bias. IJCAI Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang
2020	J	`jnl`	Decorrelated Clustering with Data Selection Bias. CoRR Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang