XQueryer: an intelligent crystal structure identifier for powder X-ray diffraction
Bin Cao, Zinan Zheng, Yang Liu, Longhan Zhang, Lawrence W-Y Wong, Lutao Weng, Jia Li*, Haoxiang Li*, Tong-Yi Zhang*
National Science Review 2025Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model
Guanlue Li^, Chenran Jiang^, Ziqi Gao, Yu Liu, Chenyang Liu, Jiean Chen, Yong Huang*, Jia Li*
Chemical Science 2025Forecasting Battery Degradation Trajectory under Domain Shift with Domain Generalization
Ruifeng Tan, Xibin Lu, Minhao Cheng, Jia Li*, Jiaqiang Huang*, Tong-Yi Zhang*
Energy Storage Materials 2024Equivariant Graph Learning for High-density Crowd Trajectories Modeling
Yang Liu, Zinan Zheng, Yu Rong, Jia Li*
TMLR 2024Hierarchical Graph Learning for Protein-Protein Interaction
Ziqi Gao, Chenran Jiang, Jiawen Zhang, Xiaosen Jiang, Lanqing Li, Peilin Zhao, Huanming Yang, Yong Huang*, Jia Li*
Nature Communications 2023 [Editors’ Highlight] [DrugAI] [ScienceAI]Self-Supervised Hypergraph Representation Learning for Sociological Analysis
Xiangguo Sun, Hong Cheng, Bo Liu, Jia Li, Hongyang Chen, Guandong Xu, Hongzhi Yin
TKDE 2023Semi-Supervised Hierarchical Graph Classification
Jia Li, Yongfeng Huang, Heng Chang, Yu Rong
TPAMI 2022
Conferences
Mesh Interpolation Graph Network for Dynamic and Spatially Irregular Global Weather Forecasting
Zinan Zheng, Yang Liu*, Jia Li*
NeurIPS 2025Non-stationary Equivariant Graph Neural Networks for Physical Dynamics Simulation
Chaohao Yuan, Maoji Wen, Ercan Engin Kuruoglu, Yang Liu, Jia Li, Tingyang Xu, Deli Zhao, Hong Cheng, Yu Rong
NeurIPS 2025GCoder: Improving Large Language Model for Generalized Graph Reasoning
Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li*
CIKM 2025Improving LLMs' Generalized Reasoning Abilities by Graph Problems
Qifan Zhang, Nuo Chen, Zehua Li, Miao Peng, Jing Tang, Jia Li*
COLM 2025Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial LLMs
Xiaojun Wu, Junxi Liu, Huan-Yi Su et al.
EMNLP 2025 FindingsRewarding Graph Reasoning Process Makes LLMs More Generalized Reasoners
Miao Peng^, Nuo Chen^, Zongrui Suo, Jia Li*
KDD 2025Advancing Graph Foundation Models: A Data-Centric Perspective
Yuhan Li^, Yuyao Wang^, Jianheng Tang, Heng Chang, Yuxiang Ren, Jia Li*
KDD 2025Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting
Yang Liu, Zinan Zheng, Yu Rong, Deli Zhao, Hong Cheng, Jia Li*
KDD 2025Mini-Game Lifetime Value Prediction in Wechat
Aochuan Chen^, Yifan Niu^, Ziqi Gao^, Yuejie Sun, Shoujun Liu, Gong Chen, Yang Liu, Jia Li*
KDD 2025BatteryLife: A Comprehensive Dataset and Benchmark for Battery Life Prediction
Ruifeng Tan, Weixiang Hong, Jiayue Tang, Xibin Lu, Ruijun Ma, Xiang Zheng, Jia Li*, Jiaqiang Huang*, Tong-yi Zhang*
KDD 2025 Benchmark TrackHow does Misinformation Affect Large Language Model Behaviors and Preferences?
Miao Peng, Nuo Chen, Jianheng Tang, Jia Li*
ACL 2025S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Ruotian Ma, Peisong Wang, Cheng Liu, Xingyan Liu, Jiaqi Chen, Bang Zhang, Xin Zhou, Nan Du*, Jia Li*
ACL 2025One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
Ke Yi, Yuhui Xu, Heng Chang, Yuan Meng, Tong Zhang, Jia Li*
ACL 2025RelEdit: Evaluating Conceptual Knowledge Editing in Language Models via Relational Reasoning
Yifan Niu, Miao Peng, Nuo Chen, Yatao Bian, Tingyang Xu, Jia Li*
ACL 2025 FindingsParameter-Efficient Fine-Tuning via Circular Convolution
Aochuan Chen, Jiashun Cheng, Zijing Liu, Ziqi Gao, Fugee Tsung, Yu Li, Jia Li*
ACL 2025 FindingsRevisiting LoRA through the Lens of Parameter Redundancy: Spectral Encoding Helps
Jiashun Cheng, Aochuan Chen, Nuo Chen, Ziqi Gao, Yuhan Li, Jia Li*, Fugee Tsung
ACL 2025 FindingsIBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
Tian Bian^, Yifan Niu^, Chaohao Yuan, Chengzhi Piao, Bingzhe Wu, Long-Kai Huang, Yu Rong, Tingyang Xu, Hong Cheng, Jia Li*
ICML 2025GraphArena: Evaluating and Exploring Large Language Models on Graph Computation
Jianheng Tang, Qifan Zhang, Yuhan Li, Nuo Chen, Jia Li*
ICLR 2025SimXRD-4M: Big Simulated X-ray Diffraction Data and Crystalline Symmetry Classification Benchmark
Bin Cao^, Yang Liu^, Zinan Zheng^, Ruifeng Tan, Jia Li*, Tong-yi Zhang*
ICLR 2025InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization
Yifan Niu, Ziqi Gao, Tingyang Xu, Yang Liu, Yatao Bian, Yu Rong, Junzhou Huang, Jia Li*
ICLR 2025GirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer
Yang Liu, Zinan Zheng, Jiashun Cheng, Fugee Tsung, Deli Zhao, Yu Rong, Jia Li*
ICLR 2025Rethinking Graph Prompts: Unraveling the Power of Data Manipulation in Graph Neural Networks
Chenyi Zi, Bowen Liu, Xiangguo Sun, Hong Cheng, Jia Li
ICLR BlogPosts 2025G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation
Yuhan Li, Xinni Zhang, Linhao Luo, Heng Chang, Yuxiang Ren, Irwin King, Jia Li*
WWW 2025 OralEfficient Graph Embedding Generation and Update for Large-Scale Temporal Graph
Yifan Song, Xiaolong Chen, Wenqing Lin, Jia Li, Chen Zhang, Yan Zhou, Lei Chen, Jing Tang
VLDB 2025GalaxyWeaver: Autonomous Table-to-Graph Conversion and Schema Optimization with Large Language Models
Bing Tong, Yan Zhou, Chen Zhang, Jianheng Tang, Jia Li*, Lei Chen
VLDB 2025 Industry TrackFused Gromov-Wasserstein Alignment for Graph Edit Distance Computation and Beyond
Jianheng Tang, Xi Zhao, Lemin Kong, Xiaofang Zhou, Jia Li*
VLDB 2025The LDBC Financial Benchmark: Transaction Workload [Experiment, Analysis & Benchmark]
Shipeng Qi, Bing Tong, Jiatao Hu, et al.
VLDB 2025 Best Benchmark Track Paper Runner UpGalaxyView: Property Graph Transformation for Materialized View Generation
Bing Tong, Jianheng Tang, Yan Zhou*, Chen Zhang, Jia Li*, Lei Chen
ICDE 2025 Industrial TrackMedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
Jiexia Ye, Weiqi Zhang, Ziyue Li*, Jia Li*, Meng Zhao, Fugee Tsung
IJCAI 2025Compress to Impress: Unleashing the Potential of Compressive Memory in Real-World Long-Term Conversations
Nuo Chen, Hongguang Li, Jianhui Chang, Juhua Huang, Baoyuan Wang, Jia Li*
COLING 2025Heterophilic Graph Neural Networks Optimization with Causal Message Passing
Botao Wang, Jia Li*, Heng Chang, Keli Zhang, Fugee Tsung
WSDM 2025UniGAD: Unifying Multi-level Graph Anomaly Detection
Yiqing Lin, Jianheng Tang, Chenyi Zi, H. Vicky Zhao, Yuan Yao, Jia Li*
NeurIPS 2024Towards Stable Representations for Protein Interface Prediction
Ziqi Gao, Zijing Liu, Yu Li, Jia Li*
NeurIPS 2024ElasTST: Towards Robust Varied-Horizon Forecasting with Elastic Time-Series Transformer
Jiawen Zhang, Shun Zheng, Xumeng Wen, Xiaofang Zhou, Jiang Bian, Jia Li*
NeurIPS 2024ProG: A Graph Prompt Learning Benchmark
Chenyi Zi^, Haihong Zhao^, Xiangguo Sun, Yiqing Lin, Hong Cheng, Jia Li
NeurIPS 2024ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons
Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li, Jiang Bian
NeurIPS 2024GLBench: A Comprehensive Benchmark for Graph with Large Language Models
Yuhan Li^, Peisong Wang^, Xiao Zhu, Anchuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li*
NeurIPS 2024ControlMath: Controllable Data Generation Promotes Math Generalist Models
Nuo Chen, Ning Wu, Jianhui Chang, Linjun Shou, Jia Li*
EMNLP 2024Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Obervations
Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li*
EMNLP 2024 FindingsFrom Good to Great: Improving Math Reasoning with Tool-Augmented Interleaf Prompting
Nuo Chen, Hongguang Li, Baoyuan Wang, Jia Li*
ACL 2024 WorkshopData Imputation from the Perspective of Graph Dirichlet Energy
Weiqi Zhang^, Guanlue Li^, Jianheng Tang, Jia Li*, Fugee Tsung
CIKM 2024Hierarchical Graph Latent Diffusion Model for Conditional Molecule Generation
Tian Bian, Yifan Niu, Heng Chang, Divin Yan, Tingyang Xu*, Yu Rong, Jia Li*, Hong Cheng
CIKM 2024Galaxybase: A High Performance Native Distributed Graph Database for HTAP
Bing Tong, Yan Zhou*, Chen Zhang, Jianheng Tang, Jing Tang, Leihong Yang, Qiye Li, Jia Li*, Lei Chen
VLDB 2024GraphWiz: An Instruction-Following Language Model for Graph Problems
Nuo Chen^, Yuhan Li^, Jianheng Tang^, Jia Li*
KDD 2024ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs
Yuhan Li, Peisong Wang, Zhixun Li, Jeffrey Xu Yu, Jia Li*
KDD 2024All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining
Haihong Zhao^, Aochuan Chen^, Xiangguo Sun^, Hong Cheng, Jia Li*
KDD 2024Path-based Explanation for Knowledge Graph Completion
Heng Chang^, Jiangnan Ye^, Alejo Lopez-Avila, Jinhua Du, Jia Li*
KDD 2024Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning
Zinan Zheng^, Yang Liu^, Jia Li*, Jianhua Yao, Yu Rong
KDD 2024Parameter Efficient Fine-Tuning with Discrete Fourier Transform
Ziqi Gao^, Qichao Wang^, Aochuan Chen^, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li*
ICML 2024A Survey of Graph Meets Large Language Model: Progress and Future Directions
Yuhan Li^, Zhixun Li^, Peisong Wang^, Jia Li*, Xiangguo Sun, Hong Cheng, Jeffrey Xu Yu
IJCAI 2024Weakly Supervised Anomaly Detection via Knowledge-Data Alignment
Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li*
WWW 2024Protein Multimer Structure Prediction via Prompt Learning
Ziqi Gao, Xiangguo Sun, Zijing Liu, Xu Li, Hong Cheng, Jia Li*
ICLR 2024Deep Reinforcement Learning for Modelling Protein Complexes
Ziqi Gao^, Tao Feng^, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li*
ICLR 2024SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases
Yang Liu^, Jiashun Cheng^, Haihong Zhao, Tingyang Xu, Peilin Zhao, Fugee Tsung, Jia Li*, Yu Rong*
ICLR 2024 SpotlightGAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction
Amit Roy, Juan Shu, Jia Li, Carl Yang, Olivier Elshocht, Jeroen Smeets, Pan Li
WSDM 2024GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection
Jianheng Tang, Fengrui Hua, Ziqi Gao, Peilin Zhao, Jia Li*
NeurIPS 2023Deep Insights into Noisy Pseudo Labeling on Graph Data
Botao Wang, Jia Li*, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung
NeurIPS 2023Large Language Models Meet Harry Potter: A Bilingual Dataset for Aligning Dialogue Agents with Characters
Nuo Chen, Yan Wang*, Haiyun Jiang, Deng Cai, Yuhan Li, Ziyang Chen, Longyue Wang, Jia Li*
EMNLP 2023 FindingsOrca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
Nuo Chen, Hongguang Li, Yinan Bao, Junqing He, Xinshi Lin, Qi Yang, Jianfeng Liu, Ruyi Gan, Jiaxing Zhang, Baoyuan Wang, Jia Li*
EMNLP 2023 FindingsNature Response Generation for Chinese Reading Comprehension
Nuo Chen, Hongguang Li, Yinan Bao, Baoyuan Wang, Jia Li*
EMNLP 2023 FindingsA Co-training Approach for Noisy Time Series Learning
Weiqi Zhang, Jianfeng Zhang, Jia Li*, Fugee Tsung
CIKM 2023Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series
Jiawen Zhang, Shun Zheng, Wei Cao, Jiang Bian, Jia Li*
KDD 2023All in One: Multi-task Prompting for Graph Neural Networks
Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan
KDD 2023 [Code] Best Paper AwardAlleviating Over-smoothing for Unsupervised Sentence Representation
Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li*
ACL 2023Structural Contrastive Pretraining for Cross-Lingual Comprehension
Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li*
ACL 2023 FindingsA Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment
Jianheng Tang, Kangfei Zhao, Jia Li*
ACL 2023 FindingsA Convergent Single-Loop Algorithm for Relaxation of Gromov-Wasserstein in Graph data
Jiajin Li, Jianheng Tang, Lemin Kong, Huikang Liu, Jia Li, Anthony Man-Cho So, Jose Blanchet
ICLR 2023Knowledge Graph Completion with Counterfactual Augmentation
Heng Chang, Jie Cai, Jia Li*
WWW 2023Handling Missing Data via Max-Entropy Regularized Graph Autoencoder
Ziqi Gao, Yifan Niu, Jiashun Cheng, Jianheng Tang, Tingyang Xu, Peilin Zhao, Lanqing Li*, Fugee Tsung, Jia Li*
AAAI 2023 OralHuman Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax
Yang Liu, Yu Rong, Zhuoning Guo, Nuo Chen, Tingyang Xu, Fugee Tsung, Jia Li*
AAAI 2023Wiener Graph Deconvolutional Network Improves Graph Self-Supervised Learning
Jiashun Cheng, Man Li, Jia Li*, Fugee Tsung
AAAI 2023 [code] [news]Decision Support System for Chronic Diseases Based on Drug-Drug Interactions
Tian Bian, Yuli Jiang, Jia Li*, Tingyang Xu*, Yu Rong, Yi Su, Timothy Kwok, Helen Meng, Hong Cheng
ICDE 2023Robust Attributed Graph Alignment via Joint Structure Learning and Optimal Transport
Jianheng Tang, Weiqi Zhang, Jiajin Li, Kangfei Zhao, Fugee Tsung, Jia Li*
ICDE 2023 [code]Rethinking Graph Neural Networks for Anomaly Detection
Jianheng Tang, Jiajin Li, Ziqi Gao, Jia Li*
ICML 2022 [code] [news]Deconvolutional Networks on Graph Data
Jia Li, Jiajin Li, Yang Liu, Jianwei Yu, Yueting Li, Hong Cheng
NeurIPS 2021 [video][code]Mask-GVAE: Blind Denoising Graphs via Partition
Jia Li, Mengzhou Liu, Honglei Zhang, Pengyun Wang, Yong Wen, Lujia Pan, Hong Cheng
WWW 2021 [code]Dirichlet Graph Variational Autoencoder
Jia Li, Jianwei Yu, Jiajin Li,Honglei Zhang, Kangfei Zhao, Yu Rong, Hong Cheng, Junzhou Huang
NeurIPS 2020 [code]Adversarial Attack on Community Detection by Hiding Individuals
Jia Li, Honglei Zhang, Zhichao Han, Yu Rong, Hong Cheng, Junzhou Huang
WWW 2020 Oral [code]Predicting Path Failure In Time-Evolving Graphs
Jia Li, Zhichao Han, Hong Cheng, Jiao Su, Pengyun Wang, Jianfeng Zhang, Lujia Pan
KDD 2019 Oral [code] [video]Semi-Supervised Graph Classification: A Hierarchical Graph Perspective
Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wenbing Huang, Junzhou Huang
WWW 2019 [pytorch] [tensorflow]TATC: Predicting Alzheimers Disease with Actigraphy Data
Jia Li, Yu Rong, Helen Meng, Zhihui Lu, Timothy Kwok, Hong Cheng
KDD 2018 Oral [talk] [video]