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
Merchant Category Identification in Weixin Pay
Aochuan Chen^, Haihong Zhao^, Simin Huang, Xuan Zong, Jun Zhou, Jia Li*
KDD 2026ChannelMTS: A Multi-modal Time-Series Framework for High-Speed Railway Channel Prediction
Haihong Zhao, Zinan Zheng, Chenyi Zi, Jia Li*
KDD 2026MedSpaformer: a Transferable Transformer with Multi-granularity Token Sparsification for Medical Time Series Classification
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li*, Fugee Tsung
AAAI 2026BAG: Benchmarking Anomaly Detection on Dynamic Graphs
Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu, Xiaojun Wu, Jia Li*, Jian Guo*
AAAI 2026Mesh 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]