Jia Li

160 papers A* 48A 6B 1Journal 86Unranked 19
YearRankTypeTitle / Venue / Authors
2026 — conf
ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction.
KDD (1)
Haihong Zhao, Zinan Zheng, Chenyi Zi, Jia Li
2026 J jnl
Exposing Weaknesses of Large Reasoning Models through Graph Algorithm Problems.
CoRR
Qifan Zhang, Jianhao Ruan, Aochuan Chen, Kang Zeng, Nuo Chen, Jing Tang, Jia Li
2026 A* conf
GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning.
WWW
Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Qingyun Sun, Jianxin Li, Ziwei Zhang
2026 J jnl
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck.
CoRR
Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2026 A* conf
MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification.
AAAI
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Fugee Tsung
2026 — conf
Merchant Category Identification in Weixin Pay.
KDD (1)
Aochuan Chen, Haihong Zhao, Simin Huang, Xuan Zong, Jun Zhou, Jia Li
2026 A* conf
Topology-Aware Feature Sorting Enables Universal Modeling on Homophilic and Heterophilic Graphs.
WWW
Yi Wang, Jitao Zhao, Dongxiao He, Jia Li, Yuxiao Huang, Zhiyong Feng
2026 J jnl
Unlocking the Potentials of Retrieval-Augmented Generation for Diffusion Language Models.
CoRR
Chuanyue Yu, Jiahui Wang, Yuhan Li, Heng Chang, Ge Lan, Qingyun Sun, Jia Li, Jianxin Li, Ziwei Zhang
2025 J jnl
A Pre-Training and Adaptive Fine-Tuning Framework for Graph Anomaly Detection.
CoRR
Yunhui Liu, Jiashun Cheng, Jia Li, Fugee Tsung, Hongzhi Yin, Tieke He
2025 J jnl
A Survey of Cross-domain Graph Learning: Progress and Future Directions.
CoRR
Haihong Zhao, Chenyi Zi, Aochuan Chen, Jia Li
2025 — conf
Advancing Graph Foundation Models: A Data-Centric Perspective.
KDD (2)
Yuhan Li, Yuyao Wang, Jianheng Tang, Heng Chang, Yuxiang Ren, Jia Li
2025 J jnl
Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains.
CoRR
Jiawen Zhang, Zhenwei Zhang, Shun Zheng, Xumeng Wen, Jia Li, Jiang Bian
2025 J jnl
Attacking and Securing Community Detection: A Game-Theoretic Framework.
CoRR
Yifan Niu, Aochuan Chen, Tingyang Xu, Jia Li
2025 — conf
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction.
KDD (2)
Ruifeng Tan, Weixiang Hong, Jiayue Tang, Xibin Lu, Ruijun Ma, Xiang Zheng, Jia Li, Jiaqiang Huang, Tong-yi Zhang
2025 J jnl
BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction.
CoRR
Ruifeng Tan, Weixiang Hong, Jiayue Tang, Xibin Lu, Ruijun Ma, Xiang Zheng, Jia Li, Jiaqiang Huang, Tong-yi Zhang
2025 J jnl
Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study.
CoRR
Ziyang Cheng, Zhixun Li, Yuhan Li, Yixin Song, Kangyi Zhao, Dawei Cheng, Jia Li, Jeffrey Xu Yu
2025 A* conf
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer.
ICLR
Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025 J jnl
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer.
CoRR
Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li
2025 B conf
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations.
COLING
Nuo Chen, Hongguang Li, Jianhui Chang, Juhua Huang, Baoyuan Wang, Jia Li
2025 — conf
Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting.
KDD (2)
Yang Liu, Zinan Zheng, Yu Rong, Deli Zhao, Hong Cheng, Jia Li
2025 A* conf
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation.
WWW
Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li
2025 J jnl
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation.
CoRR
Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li
2025 A conf
GCoder: Improving Large Language Model for Generalized Graph Reasoning.
CIKM
Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li
2025 J jnl
GraphRAG-R1: Graph Retrieval-Augmented Generation with Process-Constrained Reinforcement Learning.
CoRR
Chuanyue Yu, Kuo Zhao, Yuhan Li, Heng Chang, Mingjian Feng, Xiangzhe Jiang, Yufei Sun, Jia Li, Yuzhi Zhang, Jianxin Li, Ziwei Zhang
2025 A conf
Heterophilic Graph Neural Networks Optimization with Causal Message-passing.
WSDM
Botao Wang, Jia Li, Heng Chang, Keli Zhang, Fugee Tsung
2025 — conf
How does Misinformation Affect Large Language Model Behaviors and Preferences?
ACL (1)
Miao Peng, Nuo Chen, Jianheng Tang, Jia Li
2025 J jnl
How does Misinformation Affect Large Language Model Behaviors and Preferences?
CoRR
Miao Peng, Nuo Chen, Jianheng Tang, Jia Li
2025 A* conf
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck.
ICML
Tian Bian, Yifan Niu, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li
2025 A* conf
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization.
ICLR
Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025 J jnl
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization.
CoRR
Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li
2025 J jnl
Materials Generation in the Era of Artificial Intelligence: A Comprehensive Survey.
CoRR
Zhixun Li, Bin Cao, Rui Jiao, Liang Wang, Ding Wang, Yang Liu, Dingshuo Chen, Jia Li, Qiang Liu, Yu Rong, Liang Wang, Tong-yi Zhang, Jeffrey Xu Yu
2025 A* conf
MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning.
IJCAI
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Meng Zhao, Fugee Tsung
2025 J jnl
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting.
CoRR
Zinan Zheng, Yang Liu, Jia Li
2025 — conf
Mini-Game Lifetime Value Prediction in WeChat.
KDD (2)
Aochuan Chen, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li
2025 J jnl
Mini-Game Lifetime Value Prediction in WeChat.
CoRR
Aochuan Chen, Yifan Niu, Ziqi Gao, Yujie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li
2025 — conf
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments.
ACL (1)
Ke Yi, Yuhui Xu, Heng Chang, Yuan Meng, Tong Zhang, Jia Li
2025 — conf
Parameter-Efficient Fine-Tuning via Circular Convolution.
ACL (Findings)
Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li
2025 J jnl
Pretrained Battery Transformer (PBT): A battery life prediction foundation model.
CoRR
Ruifeng Tan, Weixiang Hong, Jia Li, Jiaqiang Huang, Tong-yi Zhang
2025 — conf
RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning.
ACL (Findings)
Yifan Niu, Miao Peng, Nuo Chen, Yatao Bian, Tingyang Xu, Jia Li
2025 — conf
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.
ACL (Findings)
Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung
2025 J jnl
Revisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps.
CoRR
Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li, Fugee Tsung
2025 — conf
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners.
KDD (2)
Miao Peng, Nuo Chen, Zongrui Suo, Jia Li
2025 J jnl
Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners.
CoRR
Miao Peng, Nuo Chen, Zongrui Suo, Jia Li
2025 A* conf
SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystal Symmetry Classification Benchmark.
ICLR
Bin Cao, Yang Liu, Zinan Zheng, Ruifeng Tan, Jia Li, Tong-yi Zhang
2025 J jnl
Sparseformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification.
CoRR
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Fugee Tsung
2024 A* conf
A Survey of Graph Meets Large Language Model: Progress and Future Directions.
IJCAI
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
2024 J jnl
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model.
CoRR
Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung
2024 A* conf
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.
KDD
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
2024 J jnl
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining.
CoRR
Haihong Zhao, Aochuan Chen, Xiangguo Sun, Hong Cheng, Jia Li
2024 J jnl
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract).
CoRR
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2024 A* conf
All in One: Multi-task Prompting for Graph Neural Networks (Extended Abstract).
IJCAI
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2024 — conf
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.
EMNLP (Findings)
Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li
2024 J jnl
Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations.
CoRR
Nuo Chen, Hongguang Li, Juhua Huang, Baoyuan Wang, Jia Li
2024 A* conf
ControlMath: Controllable Data Generation Promotes Math Generalist Models.
EMNLP
Nuo Chen, Ning Wu, Jianhui Chang, Linjun Shou, Jia Li
2024 J jnl
ControlMath: Controllable Data Generation Promotes Math Generalist Models.
CoRR
Nuo Chen, Ning Wu, Jianhui Chang, Jia Li
2024 A conf
Data Imputation from the Perspective of Graph Dirichlet Energy.
CIKM
Weiqi Zhang, Guanlue Li, Jianheng Tang, Jia Li, Fugee Tsung
2024 A* conf
Deep Reinforcement Learning for Modelling Protein Complexes.
ICLR
Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
2024 J jnl
Deep Reinforcement Learning for Modelling Protein Complexes.
CoRR
Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li
2024 J jnl
DualTime: A Dual-Adapter Multimodal Language Model for Time Series Representation.
CoRR
Weiqi Zhang, Jiexia Ye, Ziyue Li, Jia Li, Fugee Tsung
2024 A* conf
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.
NeurIPS
Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
2024 J jnl
ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer.
CoRR
Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li
2024 J jnl
Equivariant Graph Learning for High-density Crowd Trajectories Modeling.
Trans. Mach. Learn. Res.
Yang Liu, Zinan Zheng, Yu Rong, Jia Li
2024 J jnl
From Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting.
CoRR
Nuo Chen, Hongguang Li, Baoyuan Wang, Jia Li
2024 A conf
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.
WSDM
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
2024 A* conf
GLBench: A Comprehensive Benchmark for Graph with Large Language Models.
NeurIPS
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin (Victor) Chan, Jia Li
2024 J jnl
GLBench: A Comprehensive Benchmark for Graph with Large Language Models.
CoRR
Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Wai Kin Chan, Jia Li
2024 A* conf
Graph Intelligence with Large Language Models and Prompt Learning.
KDD
Jia Li, Xiangguo Sun, Yuhan Li, Zhixun Li, Hong Cheng, Jeffrey Xu Yu
2024 J jnl
Graph Pre-Training Models Are Strong Anomaly Detectors.
CoRR
Jiashun Cheng, Zinan Zheng, Yang Liu, Jianheng Tang, Hongwei Wang, Yu Rong, Jia Li, Fugee Tsung
2024 J jnl
GraphArena: Benchmarking Large Language Models on Graph Computational Problems.
CoRR
Jianheng Tang, Qifan Zhang, Yuhan Li, Jia Li
2024 A* conf
GraphWiz: An Instruction-Following Language Model for Graph Computational Problems.
KDD
Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li
2024 J jnl
GraphWiz: An Instruction-Following Language Model for Graph Problems.
CoRR
Nuo Chen, Yuhan Li, Jianheng Tang, Jia Li
2024 J jnl
Heterophilic Graph Neural Networks Optimization with Causal Message-passing.
CoRR
Botao Wang, Jia Li, Heng Chang, Keli Zhang, Fugee Tsung
2024 A conf
Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation.
CIKM
Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Junzhou Huang, Yu Rong, Tingyang Xu, Jia Li, Hong Cheng
2024 J jnl
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments.
CoRR
Ke Yi, Yuhui Xu, Heng Chang, Chen Tang, Yuan Meng, Tong Zhang, Jia Li
2024 J jnl
Parameter-Efficient Fine-Tuning via Circular Convolution.
CoRR
Aochuan Chen, Ziqi Gao, Zijing Liu, Yu Li, Jia Li
2024 A* conf
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.
ICML
Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024 J jnl
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.
CoRR
Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li
2024 A* conf
Path-based Explanation for Knowledge Graph Completion.
KDD
Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li
2024 J jnl
Path-based Explanation for Knowledge Graph Completion.
CoRR
Heng Chang, Jiangnan Ye, Alejo Lopez-Avila, Jinhua Du, Jia Li
2024 A* conf
ProG: A Graph Prompt Learning Benchmark.
NeurIPS
Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
2024 J jnl
ProG: A Graph Prompt Learning Benchmark.
CoRR
Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
2024 A* conf
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons.
NeurIPS
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
2024 A* conf
Protein Multimer Structure Prediction via Prompt Learning.
ICLR
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
2024 J jnl
Protein Multimer Structure Prediction via Prompt Learning.
CoRR
Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng, Jia Li
2024 A* conf
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Broad Physical Dynamics Learning.
KDD
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
2024 J jnl
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning.
CoRR
Zinan Zheng, Yang Liu, Jia Li, Jianhua Yao, Yu Rong
2024 A* conf
SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases.
ICLR
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2024 A* conf
Towards Stable Representations for Protein Interface Prediction.
NeurIPS
Ziqi Gao, Zijing Liu, Yu Li, Jia Li
2024 A* conf
UniGAD: Unifying Multi-level Graph Anomaly Detection.
NeurIPS
Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li
2024 J jnl
UniGAD: Unifying Multi-level Graph Anomaly Detection.
CoRR
Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li
2024 A* conf
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment.
WWW
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
2024 J jnl
Weakly Supervised Anomaly Detection via Knowledge-Data Alignment.
CoRR
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li
2024 A* conf
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs.
KDD
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
2024 J jnl
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs.
CoRR
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li
2023 A conf
A Co-training Approach for Noisy Time Series Learning.
CIKM
Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung
2023 J jnl
A Co-training Approach for Noisy Time Series Learning.
CoRR
Weiqi Zhang, Jianfeng Zhang, Jia Li, Fugee Tsung
2023 A* conf
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.
ICLR
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet
2023 J jnl
A Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph Data.
CoRR
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet
2023 — conf
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.
ACL (Findings)
Jianheng Tang, Kangfei Zhao, Jia Li
2023 J jnl
A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment.
CoRR
Jianheng Tang, Kangfei Zhao, Jia Li
2023 J jnl
A Survey of Graph Meets Large Language Model: Progress and Future Directions.
CoRR
Yuhan Li, Zhixun Li, Peisong Wang, Jia Li, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
2023 A* conf
All in One: Multi-Task Prompting for Graph Neural Networks.
KDD
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2023 J jnl
All in One: Multi-task Prompting for Graph Neural Networks.
CoRR
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
2023 — conf
Alleviating Over-smoothing for Unsupervised Sentence Representation.
ACL (1)
Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang
2023 J jnl
Alleviating Over-smoothing for Unsupervised Sentence Representation.
CoRR
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li
2023 J jnl
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations.
CoRR
Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li
2023 J jnl
Bridge the Gap between Language models and Tabular Understanding.
CoRR
Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li
2023 A* conf
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions.
ICDE
Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
2023 J jnl
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions.
CoRR
Tian Bian, Yuli Jiang, Jia Li, Tingyang Xu, Yu Rong, Yi Su, Timothy C. Y. Kwok, Helen Meng, Hong Cheng
2023 A* conf
Deep Insights into Noisy Pseudo Labeling on Graph Data.
NeurIPS
Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023 J jnl
Deep Insights into Noisy Pseudo Labeling on Graph Data.
CoRR
Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
2023 J jnl
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction.
CoRR
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
2023 A* conf
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection.
NeurIPS
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
2023 J jnl
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection.
CoRR
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li
2023 J jnl
Graph Prompt Learning: A Comprehensive Survey and Beyond.
CoRR
Xiangguo Sun, Jiawen Zhang, Xixi Wu, Hong Cheng, Yun Xiong, Jia Li
2023 A* conf
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.
AAAI
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Lanqing Li, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li
2023 A* conf
Human Mobility Modeling during the COVID-19 Pandemic via Deep Graph Diffusion Infomax.
AAAI
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
2023 J jnl
Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.
CoRR
Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li
2023 A* conf
Knowledge Graph Completion with Counterfactual Augmentation.
WWW
Heng Chang, Jie Cai, Jia Li
2023 J jnl
Knowledge Graph Completion with Counterfactual Augmentation.
CoRR
Heng Chang, Jie Cai, Jia Li
2023 — conf
Large Language Models Meet Harry Potter: A Dataset for Aligning Dialogue Agents with Characters.
EMNLP (Findings)
Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li
2023 J jnl
Missing Data Imputation with Graph Laplacian Pyramid Network.
CoRR
Weiqi Zhang, Guanlve Li, Jianheng Tang, Jia Li, Fugee Tsung
2023 — conf
Natural Response Generation for Chinese Reading Comprehension.
EMNLP (Findings)
Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li
2023 J jnl
Natural Response Generation for Chinese Reading Comprehension.
CoRR
Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li
2023 — conf
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension.
EMNLP (Findings)
Nuo Chen, Hongguang Li, Junqing He, Yinan Bao, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li
2023 J jnl
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension.
CoRR
Nuo Chen, Hongguang Li, Yinan Bao, Junqing He, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li
2023 J jnl
Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation.
CoRR
Yang Liu, Jiashun Cheng, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li, Yu Rong
2023 J jnl
ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting.
CoRR
Jiawen Zhang, Xumeng Wen, Shun Zheng, Jia Li, Jiang Bian
2023 A* conf
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
ICDE
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
2023 J jnl
Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport.
CoRR
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li
2023 J jnl
Self-Supervised Hypergraph Representation Learning for Sociological Analysis.
IEEE Trans. Knowl. Data Eng.
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2023 J jnl
Semi-Supervised Hierarchical Graph Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Jia Li, Yongfeng Huang, Heng Chang, Yu Rong
2023 — conf
Structural Contrastive Pretraining for Cross-Lingual Comprehension.
ACL (Findings)
Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li
2023 A* conf
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.
KDD
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
2023 J jnl
Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series.
CoRR
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li
2023 A* conf
Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning.
AAAI
Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
2022 J jnl
Fast and Provably Convergent Algorithms for Gromov-Wasserstein in Graph Learning.
CoRR
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose H. Blanchet
2022 J jnl
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.
CoRR
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li, Fugee Tsung, Jia Li
2022 J jnl
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax.
CoRR
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li
2022 J jnl
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.
CoRR
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
2022 J jnl
Latent Augmentation For Better Graph Self-Supervised Learning.
CoRR
Jiashun Cheng, Man Li, Jia Li, Fugee Tsung
2022 A* conf
Rethinking Graph Neural Networks for Anomaly Detection.
ICML
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
2022 J jnl
Rethinking Graph Neural Networks for Anomaly Detection.
CoRR
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li
2022 J jnl
Self-supervised Hypergraph Representation Learning for Sociological Analysis.
CoRR
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
2022 J jnl
Semi-Supervised Hierarchical Graph Classification.
CoRR
Jia Li, Yongfeng Huang, Heng Chang, Yu Rong
2022 J jnl
What would Harry say? Building Dialogue Agents for Characters in a Story.
CoRR
Nuo Chen, Yan Wang, Haiyun Jiang, Deng Cai, Ziyang Chen, Jia Li
2021 A* conf
Deconvolutional Networks on Graph Data.
NeurIPS
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
2021 J jnl
Deconvolutional Networks on Graph Data.
CoRR
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
2021 A* conf
Mask-GVAE: Blind Denoising Graphs via Partition.
WWW
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
2021 J jnl
Mask-GVAE: Blind Denoising Graphs via Partition.
CoRR
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
2020 A* conf
Adversarial Attack on Community Detection by Hiding Individuals.
WWW
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Adversarial Attack on Community Detection by Hiding Individuals.
CoRR
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
2020 A* conf
Dirichlet Graph Variational Autoencoder.
NeurIPS
Jia Li, Jianwei Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Dirichlet Graph Variational Autoencoder.
CoRR
Jia Li, Tomas Yu, Jiajin Li, Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
2020 J jnl
Graph Autoencoders with Deconvolutional Networks.
CoRR
Jia Li, Tomas Yu, Da-Cheng Juan, Arjun Gopalan, Hong Cheng, Andrew Tomkins
2019 A* conf
Predicting Path Failure In Time-Evolving Graphs.
KDD
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
2019 J jnl
Predicting Path Failure In Time-Evolving Graphs.
CoRR
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
2019 A* conf
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
WWW
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2019 J jnl
Semi-Supervised Graph Classification: A Hierarchical Graph Perspective.
CoRR
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, Junzhou Huang
2018 A* conf
TATC: Predicting Alzheimer's Disease with Actigraphy Data.
KDD
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy C. Y. Kwok, Hong Cheng