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ORCIDJia Li 0009
Person information
- affiliation: Hong Kong University of Science and Technology-Guangzhou (HKUST-GZ), Guangzhou, China
- affiliation (PhD 2021): Chinese University of Hong Kong (CUHK), Sha Tin, Hong Kong
Other persons with the same name
- Jia Li — disambiguation page
- Jia Li 0001
![[0000-0002-6052-408X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6052-408X")
— Pennsylvania State University, Department of Statistics, University Park, PA, USA (and 1 more) - Jia Li 0002 — Beijing Normal University, School of Artificial Intelligence, Beijing, China (and 2 more)
- Jia Li 0003 — Beihang University, School of Computer Science and Engineering, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Jia Li 0004 — Inner Mongolia Agricultural University, College of Mechanical and Electrical Engineering, Hohhot, China
- Jia Li 0005 — Yunnan Normal University, College of Tourism and Geographical Science, Kunming, China
- Jia Li 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Jia Li 0007 — University of Paris-Saclay, France
- Jia Li 0008 — Sun Yat-sen University, China
- Jia Li 0010 — Oakland University, Department of Electrical and Computer Engineering, Rochester, MI, USA (and 1 more)
- Jia Li 0011 (aka: Jia Allen Li) — Peking University, School of Computer Science, Key Laboratory of High Confdence Software Technologies, Beijing, China
- Jia Li 0012 — Peking University, Key Lab of High Confidence Software Technology, Beijing, China (and 1 more)
- Jia Li 0013 — Hefei University of Technology, School of Computer and Information Engineering, Hefei, China (and 1 more)
- Jia Li 0014 — Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- Jia Li 0015 — Salesforce Research, Palo Alto, CA, USA
- Jia Li 0016 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China
- Jia Li 0017 — Hohai University, School of Earth Sciences and Engineering, Nanjing, China
- Jia Li 0018 — Nanjing University of Aeronautics and Astronautics, College of Computer Science and Technology, Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, China
- Jia Li 0019 — Henan Institute of Science and Technology, School of Information Engineering, Xinxiang, China
- Jia Li 0020 — Capital Medical University, Beijing Friendship Hospital, Department of Radiology, Beijing, China
- Jia Li 0021 — KU Leuven, Faculty of Psychology and Educational Sciences, Leuven, Belgium
- Jia Li 0022 — Chinese Academy of Sciences, Institute of Microelectronics, Smart Sensing Research and Development Center, Beijing, China (and 2 more)
- Jia Li 0023 — Beijing Electrical Science and Technology Institute, Beijing, China (and 1 more)
- Jia Li 0024 — East China University of Science and Technology, School of Business, Shanghai, China
- Jia Li 0025 — Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, State Key Laboratory of Intelligent Technology and Systems, Beijing, China
- Jia Li 0026 — National Engineering Research Center of Speech and Language Information Processing, Hefei, China (and 1 more)
- Jia Li 0027 — Vanderbilt University Medical Center, Nashville, TN, USA
- Jia Li 0028 — Tianjin University, School of Electrical and Information Engineering, Tianjin, China
- Jia Li 0029 — Chongqing Technology and Business Institute, China (and 1 more)
- Jia Li 0030 — University of Ottawa, Canada
- Jia Li 0031 — PLA Navy Submarine Academy, Qingdao, China
- Jia Li 0032 — First Affiliated Hospital of Zhengzhou University, National Engineering Laboratory for Internet Medical Systems and Applications, Zhengzhou, China (and 1 more)
- Jia Li 0033 — National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China (and 1 more)
- Jia Li 0034 — Wuhan University, State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan, China
- Jia Li 0035 — Shanxi Vocational University of Engineering Science and Technology, Conservatory of Music and Dance, Jinzhong, China (and 1 more)
- Jia Li 0036 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China
- Jia Li 0037 — Chongqing University, College of Electrical Engineering, State Key Laboratory of Power Transmission Equipment & System Security, Chongqing, China
- Jia Li 0038 — Donghua University, School of Business and Management, Shanghai, China
- Jia Li 0039 — Cancer Science Institute of Singapore, Centre for Translational Medicine, Singapore
- Jia Li 0040 — Chinese Academy of Sciences, Shanghai Institute of Materia Medica, State Key Laboratory of Drug Research, National Center for Drug Screening, Shanghai, China (and 1 more)
- Jia Li 0041 — Shanghai Jiao Tong University School of Medicine, Shanghai Mental Health Center, Laboratory of Psychological Health and Imaging, Shanghai, China
- Jia Li 0042 — South China Agricultural University, College of Mathematics and Informatics, Guangzhou, China
- Jia Li 0043 — Shanghai University, School of Mechatronic Engineering and Automation, Shanghai Key Laboratory of Power Station Automation Technology, Shanghai, China (and 1 more)
- Jia Li 0044 — Lenovo Research, Beijing, China (and 3 more)
- Jia Li 0045 — Northeastern University, School of Mechanical Engineering and Automation, Shenyang, China
- Jia Li 0046 — Wuyi University, Department of Intelligent Manufacturing, Jiangmen, China
- Jia Li 0047 — Harbin University of Science and Technology, School of Electrical and Electronic Engineering, Harbin, China
- Jia Li 0048 — Purdue University, Department of Mathematics, West Lafayette, IN, USA
- Jia Li 0049 — Guangzhou University, Center for Applied Mathematics, Guangzhou, China (and 1 more)
- Jia Li 0050 — Xi'an Jiaotong University, Department of Software Engineering, Xi'an, China
- Jia Li 0051 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China (and 1 more)
- Jia Li 0052 — Harvard Medical School, Department of Neurology, Boston, MA, USA
- Jia Li 0053 — University of Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Li-Jia Li 0001 (aka: Jia Li 0054) — Stanford University, School of Medicine, Stanford, CA, USA (and 4 more)
- Vena Jia Li (aka: Jia Li 0055) — Meta, Menlo Park, CA, USA (and 2 more)
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Journal Articles
- 2023
[j2]Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6265-6276 (2023)- [j1]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-Supervised Hypergraph Representation Learning for Sociological Analysis. IEEE Trans. Knowl. Data Eng. 35(11): 11860-11871 (2023)
Conference and Workshop Papers
- 2024
- [c43]Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng:
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation. CIKM 2024: 130-140 - [c42]Weiqi Zhang, Guanlue Li, Jianheng Tang, Jia Li, Fugee Tsung:
Data Imputation from the Perspective of Graph Dirichlet Energy. CIKM 2024: 3237-3247 - [c41]Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. EMNLP (Findings) 2024: 7001-7016 - [c40]Nuo Chen, Ning Wu, Jianhui Chang, Linjun Shou, Jia Li:
ControlMath: Controllable Data Generation Promotes Math Generalist Models. EMNLP 2024: 12201-12217 - [c39]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. ICLR 2024 - [c38]Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong:
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases. ICLR 2024 - [c37]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. ICML 2024 - [c36]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. IJCAI 2024: 8123-8131 - [c35]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract). IJCAI 2024: 8460-8465 - [c34]Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li:
Path-based Explanation for Knowledge Graph Completion. KDD 2024: 231-242 - [c33]Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li:
GraphWiz: An Instruction-Following Language Model for Graph Computational Problems. KDD 2024: 353-364 - [c32]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. KDD 2024: 1725-1735 - [c31]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. KDD 2024: 4443-4454 - [c30]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning. KDD 2024: 4548-4558 - [c29]Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu:
Graph Intelligence with Large Language Models and Prompt Learning. KDD 2024: 6545-6554 - [c28]Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li:
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. WSDM 2024: 576-585 - [c27]Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li:
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. WWW 2024: 4083-4094 - 2023
- [c26]Jiashun Cheng, Man Li, Jia Li, Fugee Tsung:
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning. AAAI 2023: 7131-7139 - [c25]Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li:
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. AAAI 2023: 7651-7659 - [c24]Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax. AAAI 2023: 14347-14355 - [c23]Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li:
Structural Contrastive Pretraining for Cross-Lingual Comprehension. ACL (Findings) 2023: 2042-2057 - [c22]Jianheng Tang, Kangfei Zhao, Jia Li:
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. ACL (Findings) 2023: 3320-3334 - [c21]Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang:
Alleviating Over-smoothing for Unsupervised Sentence Representation. ACL (1) 2023: 3552-3566 - [c20]Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung:
A Co-training Approach for Noisy Time Series Learning. CIKM 2023: 3308-3318 - [c19]Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li:
Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters. EMNLP (Findings) 2023: 8506-8520 - [c18]Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li:
Natural Response Generation for Chinese Reading Comprehension. EMNLP (Findings) 2023: 11068-11081 - [c17]Nuo Chen, Hongguang Li, Junqing He, Yinan Bao, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li:
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension. EMNLP (Findings) 2023: 15685-15699 - [c16]Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li:
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. ICDE 2023: 1638-1651 - [c15]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. ICDE 2023: 3467-3480 - [c14]Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet:
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. ICLR 2023 - [c13]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks. KDD 2023: 2120-2131 - [c12]Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li:
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. KDD 2023: 3273-3285 - [c11]Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li:
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. NeurIPS 2023 - [c10]Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung:
Deep Insights into Noisy Pseudo Labeling on Graph Data. NeurIPS 2023 - [c9]Heng Chang, Jie Cai, Jia Li:
Knowledge Graph Completion with Counterfactual Augmentation. WWW 2023: 2611-2620 - 2022
- [c8]Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li:
Rethinking Graph Neural Networks for Anomaly Detection. ICML 2022: 21076-21089 - 2021
- [c7]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. NeurIPS 2021: 21019-21030 - [c6]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. WWW 2021: 3688-3698 - 2020
- [c5]Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. NeurIPS 2020 - [c4]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. WWW 2020: 917-927 - 2019
- [c3]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. KDD 2019: 1279-1289 - [c2]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. WWW 2019: 972-982 - 2018
- [c1]Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng:
TATC: Predicting Alzheimer's Disease with Actigraphy Data. KDD 2018: 509-518
Informal and Other Publications
- 2024
- [i58]Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li:
Path-based Explanation for Knowledge Graph Completion. CoRR abs/2401.02290 (2024) - [i57]Nuo Chen, Hongguang Li, Baoyuan Wang, Jia Li:
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting. CoRR abs/2401.05384 (2024) - [i56]Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li:
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment. CoRR abs/2402.03785 (2024) - [i55]Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li:
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining. CoRR abs/2402.09834 (2024) - [i54]Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li:
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs. CoRR abs/2402.11235 (2024) - [i53]Nuo Chen, Hongguang Li, Juhua Huang, Baoyuan Wang, Jia Li:
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations. CoRR abs/2402.11975 (2024) - [i52]Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li:
GraphWiz: An Instruction-Following Language Model for Graph Problems. CoRR abs/2402.16029 (2024) - [i51]Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li:
Protein Multimer Structure Prediction via Prompt Learning. CoRR abs/2402.18813 (2024) - [i50]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract). CoRR abs/2403.07040 (2024) - [i49]Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung:
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model. CoRR abs/2405.02358 (2024) - [i48]Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li:
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform. CoRR abs/2405.03003 (2024) - [i47]Ke Yi, Yuhui Xu, Heng Chang, Chen Tang, Yuan Meng, Tong Zhang, Jia Li:
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments. CoRR abs/2405.20202 (2024) - [i46]Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li:
ProG: A Graph Prompt Learning Benchmark. CoRR abs/2406.05346 (2024) - [i45]Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung:
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation. CoRR abs/2406.06620 (2024) - [i44]Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong:
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning. CoRR abs/2406.16295 (2024) - [i43]Jianheng Tang, Qifan Zhang, Yuhan Li, Jia Li:
GraphArena: Benchmarking Large Language Models on Graph Computational Problems. CoRR abs/2407.00379 (2024) - [i42]Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li:
GLBench: A Comprehensive Benchmark for Graph with Large Language Models. CoRR abs/2407.07457 (2024) - [i41]Nuo Chen, Ning Wu, Jianhui Chang, Jia Li:
ControlMath: Controllable Data Generation Promotes Math Generalist Models. CoRR abs/2409.15376 (2024) - [i40]Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung:
Graph Pre-Training Models Are Strong Anomaly Detectors. CoRR abs/2410.18487 (2024) - [i39]Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li:
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer. CoRR abs/2411.01842 (2024) - 2023
- [i38]Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li:
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport. CoRR abs/2301.12721 (2023) - [i37]Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li:
Natural Response Generation for Chinese Reading Comprehension. CoRR abs/2302.08817 (2023) - [i36]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li:
Bridge the Gap between Language models and Tabular Understanding. CoRR abs/2302.09302 (2023) - [i35]Heng Chang, Jie Cai, Jia Li:
Knowledge Graph Completion with Counterfactual Augmentation. CoRR abs/2302.13083 (2023) - [i34]Nuo Chen, Hongguang Li, Yinan Bao, Junqing He, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li:
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension. CoRR abs/2302.13619 (2023) - [i33]Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng:
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions. CoRR abs/2303.02405 (2023) - [i32]Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet:
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data. CoRR abs/2303.06595 (2023) - [i31]Weiqi Zhang, Guanlve Li, Jianheng Tang, Jia Li, Fugee Tsung:
Missing Data Imputation with Graph Laplacian Pyramid Network. CoRR abs/2304.04474 (2023) - [i30]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li:
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR abs/2305.06154 (2023) - [i29]Jianheng Tang, Kangfei Zhao, Jia Li:
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment. CoRR abs/2305.06574 (2023) - [i28]Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li:
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction. CoRR abs/2306.01951 (2023) - [i27]Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li:
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series. CoRR abs/2306.09368 (2023) - [i26]Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li:
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection. CoRR abs/2306.12251 (2023) - [i25]Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan:
All in One: Multi-task Prompting for Graph Neural Networks. CoRR abs/2307.01504 (2023) - [i24]Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung:
A Co-training Approach for Noisy Time Series Learning. CoRR abs/2308.12551 (2023) - [i23]Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong:
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation. CoRR abs/2308.13212 (2023) - [i22]Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung:
Deep Insights into Noisy Pseudo Labeling on Graph Data. CoRR abs/2310.01634 (2023) - [i21]Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian:
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting. CoRR abs/2310.07446 (2023) - [i20]Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. CoRR abs/2310.20246 (2023) - [i19]Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu:
A Survey of Graph Meets Large Language Model: Progress and Future Directions. CoRR abs/2311.12399 (2023) - [i18]Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li:
Graph Prompt Learning: A Comprehensive Survey and Beyond. CoRR abs/2311.16534 (2023) - [i17]Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li:
Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. CoRR abs/2312.04333 (2023) - 2022
- [i16]Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet:
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning. CoRR abs/2205.08115 (2022) - [i15]Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li:
Rethinking Graph Neural Networks for Anomaly Detection. CoRR abs/2205.15508 (2022) - [i14]Jia Li, Yongfeng Huang, Heng Chang, Yu Rong:
Semi-Supervised Hierarchical Graph Classification. CoRR abs/2206.05416 (2022) - [i13]Jiashun Cheng, Man Li, Jia Li, Fugee Tsung:
Latent Augmentation For Better Graph Self-Supervised Learning. CoRR abs/2206.12933 (2022) - [i12]Lanqing Li, Liang Zeng, Ziqi Gao, Shen Yuan, Yatao Bian, Bingzhe Wu, Hengtong Zhang, Chan Lu, Yang Yu, Wei Liu, Hongteng Xu, Jia Li, Peilin Zhao, Pheng-Ann Heng:
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery. CoRR abs/2209.07921 (2022) - [i11]Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Ziyang Chen, Jia Li:
What would Harry say? Building Dialogue Agents for Characters in a Story. CoRR abs/2211.06869 (2022) - [i10]Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li:
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder. CoRR abs/2211.16771 (2022) - [i9]Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li:
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax. CoRR abs/2212.05707 (2022) - [i8]Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin:
Self-supervised Hypergraph Representation Learning for Sociological Analysis. CoRR abs/2212.11440 (2022) - 2021
- [i7]Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng:
Mask-GVAE: Blind Denoising Graphs via Partition. CoRR abs/2102.04228 (2021) - [i6]Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng:
Deconvolutional Networks on Graph Data. CoRR abs/2110.15528 (2021) - 2020
- [i5]Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang:
Adversarial Attack on Community Detection by Hiding Individuals. CoRR abs/2001.07933 (2020) - [i4]Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang:
Dirichlet Graph Variational Autoencoder. CoRR abs/2010.04408 (2020) - [i3]Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins:
Graph Autoencoders with Deconvolutional Networks. CoRR abs/2012.11898 (2020) - 2019
- [i2]Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang:
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective. CoRR abs/1904.05003 (2019) - [i1]Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan:
Predicting Path Failure In Time-Evolving Graphs. CoRR abs/1905.03994 (2019)
Coauthor Index
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