Xiao Luo

223 papers A* 57A 4B 3Misc 3Journal 130Unranked 26
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis.
IEEE Trans. Neural Networks Learn. Syst.
Ziyue Qiao, Xiaomin Yu, Weiyu Guo, Xiao Luo, Meng Xiao, Hui Xiong
2026 A* conf
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.
AAAI
Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang
2026 J jnl
DEER: Distribution Divergence-Based Graph Contrast for Partial Label Learning on Graphs.
IEEE Trans. Multim.
Yiyang Gu, Zihao Chen, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Wei Ju, Chong Chen, Xian-Sheng Hua, Yifan Wang, Xiao Luo, Ming Zhang
2026 J jnl
DREAM: Dual-Standard Semantic Homogeneity with Dynamic Optimization for Graph Learning with Label Noise.
CoRR
Yusheng Zhao, Jiaye Xie, Qixin Zhang, Weizhi Zhang, Xiao Luo, Zhiping Xiao, Philip S. Yu, Ming Zhang
2026 J jnl
DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering.
CoRR
Haotian Chen, Qingqing Long, Siyu Pu, Xiao Luo, Wei Ju, Meng Xiao, Yuanchun Zhou, Jianghua Zhao, Xuezhi Wang
2026 — conf
DisCo: Diffusion-guided Unbiased Discriminative Learning for Unsupervised Graph Domain Adaptation.
KDD (1)
Haodong Zhang, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Huaizhi Tang, Junyu Luo, Zimo Wang, Ziyue Qiao, Xian-Sheng Hua, Xiao Luo
2026 — conf
Dual Data-centric Separation with Circular Mixup for Noise-resistant Time Series Learning.
KDD (1)
Yuhang Pei, Fanchun Meng, Qinghua Ran, Tao Ren, Yifan Wang, Wei Ju, Zimo Wang, Xian-Sheng Hua, Xiao Luo
2026 J jnl
Embeddings from language models are good learners for single-cell data analysis.
Patterns
Tianyu Liu, Tianqi Chen, Wangjie Zheng, Xiao Luo, Yiqun Chen, Hongyu Zhao
2026 A* conf
Graph Cross-Domain Continual Fine-Tuning via Orthogonal LoRA Routing with Contrastive Expert Specialization.
WWW
Qianyi Cai, Ziyue Qiao, Minghao Yang, Xiao Luo, Hui Xiong
2026 J jnl
Robust Cross Supervision With Target Mining for Source-Free Graph Domain Adaptation.
IEEE Trans. Knowl. Data Eng.
Junyu Luo, Haoyu Tao, Xiao Luo, Yusheng Zhao, Zhiping Xiao, Dailan He, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2026 J jnl
Robust and Efficient Tool Orchestration via Layered Execution Structures with Reflective Correction.
CoRR
Tao Zhe, Haoyu Wang, Bo Luo, Min Wu, Wei Fan, Xiao Luo, Zijun Yao, Haifeng Chen, Dongjie Wang
2026 J jnl
SPOT: Spectral Optimal Transport for Graph Domain Generalization.
ACM Trans. Knowl. Discov. Data
Yusheng Zhao, Xiao Luo, Junyu Luo, Wei Ju, Zhonghui Gu, Zhiping Xiao, Xian-Sheng Hua, Ming Zhang
2026 A* conf
Space-based Parameter Evolving with Lightweight Optimization for Graph Adaptation to Evolving Shifts.
WWW
Junyu Luo, Zixuan Ouyang, Xiao Luo, Hourun Li, Zhiping Xiao, Yifan Wang, Ming Zhang
2026 J jnl
TowerDNA: Fast and Accurate Graph Retrieval With Dividing, Contrasting and Alignment.
IEEE Trans. Knowl. Data Eng.
Junwei Yang, Yiyang Gu, Yifang Qin, Xiao Luo, Zhiping Xiao, Kangjie Zheng, Wei Ju, Xian-Sheng Hua, Ming Zhang
2025 — conf
A Survey of RAG-Reasoning Systems in Large Language Models.
EMNLP (Findings)
Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025 — conf
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
ACL (1)
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
A Survey on Efficient Large Language Model Training: From Data-centric Perspectives.
CoRR
Junyu Luo, Bohan Wu, Xiao Luo, Zhiping Xiao, Yiqiao Jin, Rong-Cheng Tu, Nan Yin, Yifan Wang, Jingyang Yuan, Wei Ju, Ming Zhang
2025 J jnl
Accelerating Time Series Foundation Models with Speculative Decoding.
CoRR
Pranav Subbaraman, Fang Sun, Yue Yao, Huacong Tang, Xiao Luo, Yizhou Sun
2025 A conf
Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization.
CIKM
Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang
2025 A* conf
Attention Bootstrapping for Multi-Modal Test-Time Adaptation.
AAAI
Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang
2025 J jnl
Attention Bootstrapping for Multi-Modal Test-Time Adaptation.
CoRR
Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang
2025 A* conf
CODE: Towards Partial Label Graph Learning via Coupled Dual Separation.
ACM Multimedia
Yiyang Gu, Taian Guo, Hang Zhou, Zihao Chen, Zhiping Xiao, Yifang Qin, Xiao Luo, Wei Ju, Yifan Wang, Ming Zhang
2025 — conf
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting.
BIBM
Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025 J jnl
Conditional Neural ODE for Longitudinal Parkinson's Disease Progression Forecasting.
CoRR
Xiaoda Wang, Yuji Zhao, Kaiqiao Han, Xiao Luo, Sanne van Rooij, Jennifer Stevens, Lifang He, Liang Zhan, Yizhou Sun, Wei Wang, Carl Yang
2025 J jnl
Cross-Domain Diffusion With Progressive Alignment for Efficient Adaptive Retrieval.
IEEE Trans. Image Process.
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 J jnl
Cross-Domain Diffusion with Progressive Alignment for Efficient Adaptive Retrieval.
CoRR
Junyu Luo, Yusheng Zhao, Xiao Luo, Zhiping Xiao, Wei Ju, Li Shen, Dacheng Tao, Ming Zhang
2025 A* conf
DANCE: Dual Unbiased Expansion with Group-acquired Alignment for Out-of-distribution Graph Fairness Learning.
ICML
Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo
2025 A* conf
DATE: Dual Prompt Learning with Information Bottleneck for Graph Out-of-Distribution Generalization.
ACM Multimedia
Jiayi Zeng, Tao Ren, Changhu Wang, Yifan Wang, Wei Ju, Zhipeng Sun, Xiao Luo
2025 J jnl
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.
Trans. Mach. Learn. Res.
Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo
2025 A* conf
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval.
AAAI
Fan Zhang, Changhu Wang, Zebang Cheng, Xiaojiang Peng, Dongjie Wang, Yijia Xiao, Chong Chen, Xian-Sheng Hua, Xiao Luo
2025 J jnl
DisenSemi: Semi-Supervised Graph Classification via Disentangled Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2025 J jnl
Dynamic Text Bundling Supervision for Zero-Shot Inference on Text-Attributed Graphs.
CoRR
Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 — conf
Embracing Large Language Models in Traffic Flow Forecasting.
ACL (Findings)
Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 J jnl
FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation.
CoRR
Haixin Wang, Ruoyan Li, Fred Xu, Fang Sun, Kaiqiao Han, Zijie Huang, Guancheng Wan, Ching Chang, Xiao Luo, Wei Wang, Yizhou Sun
2025 J jnl
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
CoRR
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Adrian Chen, Yizhou Sun
2025 — conf
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.
ACL (1)
Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo
2025 J jnl
FinMME: Benchmark Dataset for Financial Multi-Modal Reasoning Evaluation.
CoRR
Junyu Luo, Zhizhuo Kou, Liming Yang, Xiao Luo, Jinsheng Huang, Zhiping Xiao, Jingshu Peng, Chengzhong Liu, Jiaming Ji, Xuanzhe Liu, Sirui Han, Ming Zhang, Yike Guo
2025 J jnl
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning Agents.
CoRR
Weizhi Zhang, Yangning Li, Yuanchen Bei, Junyu Luo, Guancheng Wan, Liangwei Yang, Chenxuan Xie, Yuyao Yang, Wei-Chieh Huang, Chunyu Miao, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Yankai Chen, Chunkit Chan, Peilin Zhou, Xinyang Zhang, Chenwei Zhang, Jingbo Shang, Ming Zhang, Yangqiu Song, Irwin King, Philip S. Yu
2025 — conf
Future Matters for Present: Towards Effective Physical Simulation over Meshes.
KDD (1)
Xiao Luo, Junyu Luo, Huiyu Jiang, Hang Zhou, Zhiping Xiao, Wei Ju, Carl Ji Yang, Ming Zhang, Yizhou Sun
2025 A* conf
GCAL: Adapting Graph Models to Evolving Domain Shifts.
ICML
Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025 J jnl
GCAL: Adapting Graph Models to Evolving Domain Shifts.
CoRR
Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025 J jnl
GPS: graph contrastive learning via multi-scale augmented views from adversarial pooling.
Sci. China Inf. Sci.
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2025 J jnl
Graph Fourier Neural ODEs: Modeling Spatial-temporal Multi-scales in Molecular Dynamics.
Trans. Mach. Learn. Res.
Fang Sun, Zijie Huang, Haixin Wang, Huacong Tang, Xiao Luo, Wei Wang, Yizhou Sun
2025 — conf
HEAL: Hybrid Enhancement with LLM-based Agents for Text-attributed Hypergraph Self-supervised Representation Learning.
EMNLP (Findings)
Ruochang Li, Xiao Luo, Zhiping Xiao, Wei Ju, Ming Zhang
2025 — conf
How Do Large Language Models Perform in Dynamical System Modeling.
NAACL (Findings)
Xiao Luo, Binqi Chen, Haixin Wang, Zhiping Xiao, Ming Zhang, Yizhou Sun
2025 — conf
How Do Large Language Models Perform on PDE Discovery: A Coarse-to-fine Perspective.
EMNLP (Findings)
Xiao Luo, Changhu Wang, Yizhou Sun, Wei Wang
2025 — conf
Identifying Cellular Niches in Spatial Transcriptomics: An Investigation into the Capabilities of Large Language Models.
ACL (1)
Huanhuan Wei, Xiao Luo, Hongyi Yu, Jinping Liang, Luning Yang, Lixing Lin, Alexandra Popa, Xiting Yan
2025 J jnl
Iterative Feature Space Optimization through Incremental Adaptive Evaluation.
CoRR
Yanping Wu, Yanyong Huang, Zhengzhang Chen, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang
2025 — conf
LEAF: Large Language Diffusion Model for Time Series Forecasting.
EMNLP (Findings)
Yuhang Pei, Tao Ren, Yifan Wang, Zhipeng Sun, Wei Ju, Chong Chen, Xiansheng Hua, Xiao Luo
2025 J jnl
Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR
Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025 A* conf
Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval.
SIGIR
Qingqing Long, Haixin Wang, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo
2025 J jnl
MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning.
CoRR
Yusheng Zhao, Xiao Luo, Weizhi Zhang, Wei Ju, Zhiping Xiao, Philip S. Yu, Ming Zhang
2025 — conf
MARK: Multi-agent Collaboration with Ranking Guidance for Text-attributed Graph Clustering.
ACL (Findings)
Yiwei Fu, Yuxing Zhang, Chunchun Chen, JianwenMa JianwenMa, Quan Yuan, Rong-Cheng Tu, Xinli Huang, Wei Ye, Xiao Luo, Minghua Deng
2025 J jnl
MATE: Masked optimal transport with dynamic selection for partial label graph learning.
Artif. Intell.
Yiyang Gu, Binqi Chen, Zihao Chen, Ziyue Qiao, Xiao Luo, Junyu Luo, Zhiping Xiao, Wei Ju, Ming Zhang
2025 J jnl
MHGC: Multi-scale hard sample mining for contrastive deep graph clustering.
Inf. Process. Manag.
Tao Ren, Haodong Zhang, Yifan Wang, Wei Ju, Chengwu Liu, Fanchun Meng, Siyu Yi, Xiao Luo
2025 J jnl
MLLM-Guided VLM Fine-Tuning with Joint Inference for Zero-Shot Composed Image Retrieval.
CoRR
Rong-Cheng Tu, Zhao Jin, Jingyi Liao, Xiao Luo, Yingjie Wang, Li Shen, Dacheng Tao
2025 — conf
Marrying LLMs with Dynamic Forecasting: A Graph Mixture-of-expert Perspective.
NAACL (Findings)
Dapeng Jiang, Xiao Luo
2025 — conf
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.
EMNLP (Findings)
Yusheng Zhao, Xiao Luo, Junyu Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 J jnl
Multifaceted Evaluation of Audio-Visual Capability for MLLMs: Effectiveness, Efficiency, Generalizability and Robustness.
CoRR
Yusheng Zhao, Junyu Luo, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang
2025 A* conf
NeuBM: Mitigating Model Bias in Graph Neural Networks Through Neutral Input Calibration.
IJCAI
Jiawei Gu, Ziyue Qiao, Xiao Luo
2025 J jnl
NeuBM: Mitigating Model Bias in Graph Neural Networks through Neutral Input Calibration.
CoRR
Jiawei Gu, Ziyue Qiao, Xiao Luo
2025 J jnl
Out-of-Distribution Graph Models Merging.
CoRR
Yidi Wang, Jiawei Gu, Xiaobing Pei, Xubin Zheng, Xiao Luo, Pengyang Wang, Ziyue Qiao
2025 J jnl
POLO: Preference-Guided Multi-Turn Reinforcement Learning for Lead Optimization.
CoRR
Ziqing Wang, Yibo Wen, William Pattie, Xiao Luo, Weimin Wu, Jerry Yao-Chieh Hu, Abhishek Pandey, Han Liu, Kaize Ding
2025 J jnl
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning.
CoRR
Wanjia Zhao, Qinwei Ma, Jingzhe Shi, Shirley Wu, Jiaqi Han, Yijia Xiao, Si-Yuan Chen, Xiao Luo, Ludwig Schmidt, James Zou
2025 — conf
Protein Large Language Models: A Comprehensive Survey.
EMNLP (Findings)
Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025 J jnl
Protein Large Language Models: A Comprehensive Survey.
CoRR
Yijia Xiao, Wanjia Zhao, Junkai Zhang, Yiqiao Jin, Han Zhang, Zhicheng Ren, Renliang Sun, Haixin Wang, Guancheng Wan, Pan Lu, Xiao Luo, Yu Zhang, James Zou, Yizhou Sun, Wei Wang
2025 A* conf
Rethink GraphODE Generalization within Coupled Dynamical System.
ICML
Guancheng Wan, Zijie Huang, Wanjia Zhao, Xiao Luo, Yizhou Sun, Wei Wang
2025 J jnl
SPAZER: Spatial-Semantic Progressive Reasoning Agent for Zero-shot 3D Visual Grounding.
CoRR
Zhao Jin, Rong-Cheng Tu, Jingyi Liao, Wenhao Sun, Xiao Luo, Shunyu Liu, Dacheng Tao
2025 J jnl
SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs.
CoRR
Haotian Chen, Qingqing Long, Meng Xiao, Xiao Luo, Wei Ju, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou, Hengshu Zhu
2025 — conf
Semi-supervised Fine-tuning for Large Language Models.
NAACL (Findings)
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2025 J jnl
Simulator and Experience Enhanced Diffusion Model for Comprehensive ECG Generation.
CoRR
Xiaoda Wang, Kaiqiao Han, Yuhao Xu, Xiao Luo, Yizhou Sun, Wei Wang, Carl Yang
2025 A* conf
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
ICML
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025 J jnl
Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation.
CoRR
Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang
2025 J jnl
Spatiotemporal Forecasting as Planning: A Model-Based Reinforcement Learning Approach with Generative World Models.
CoRR
Hao Wu, Yuan Gao, Xingjian Shi, Shuaipeng Li, Fan Xu, Fan Zhang, Zhihong Zhu, Weiyan Wang, Xiao Luo, Kun Wang, Xian Wu, Xiaomeng Huang
2025 A* conf
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs.
AAAI
Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang
2025 A* conf
Test-time Adaptation on Graphs via Adaptive Subgraph-based Selection and Regularized Prototypes.
ICML
Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang
2025 J jnl
Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs.
CoRR
Yangning Li, Weizhi Zhang, Yuyao Yang, Wei-Chieh Huang, Yaozu Wu, Junyu Luo, Yuanchen Bei, Henry Peng Zou, Xiao Luo, Yusheng Zhao, Chunkit Chan, Yankai Chen, Zhongfen Deng, Yinghui Li, Hai-Tao Zheng, Dongyuan Li, Renhe Jiang, Ming Zhang, Yangqiu Song, Philip S. Yu
2025 J jnl
Towards Artificial Intelligence Research Assistant for Expert-Involved Learning.
CoRR
Tianyu Liu, Simeng Han, Xiao Luo, Hanchen Wang, Pan Lu, Biqing Zhu, Yuge Wang, Keyi Li, Jiapeng Chen, Rihao Qu, Yufeng Liu, Xinyue Cui, Aviv Yaish, Yuhang Chen, Minsheng Hao, Chuhan Li, Kexing Li, Arman Cohan, Hua Xu, Mark Gerstein, James Zou, Hongyu Zhao
2025 A* conf
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.
ICLR
Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong
2025 — conf
scRAG: Hybrid Retrieval-Augmented Generation for LLM-based Cross-Tissue Single-Cell Annotation.
ACL (Findings)
Zhiyin Yu, Chao Zheng, Chong Chen, Xian-Sheng Hua, Xiao Luo
2024 J jnl
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability.
CoRR
Pengyun Wang, Junyu Luo, Yanxin Shen, Siyu Heng, Xiao Luo
2024 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
A Diffusion Model for POI Recommendation.
ACM Trans. Inf. Syst.
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR
Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Zhengyang Mao, Hourun Li, Yiyang Gu, Yifang Qin, Nan Yin, Senzhang Wang, Xinwang Liu, Xiao Luo, Philip S. Yu, Ming Zhang
2024 J jnl
A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR
Hourun Li, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Zhiping Xiao, Jiaqi Feng, Yiyang Gu, Wei Ju, Xiao Luo, Ming Zhang
2024 J jnl
An Evaluation of Large Language Models in Bioinformatics Research.
CoRR
Hengchuang Yin, Zhonghui Gu, Fanhao Wang, Yiparemu Abuduhaibaier, Yanqiao Zhu, Xinming Tu, Xian-Sheng Hua, Xiao Luo, Yizhou Sun
2024 J jnl
CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiao Luo, Wei Ju, Meng Qu, Yiyang Gu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2024 J jnl
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.
CoRR
Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
CoRR
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
COOL: A Conjoint Perspective on Spatio-Temporal Graph Neural Network for Traffic Forecasting.
Inf. Fusion
Wei Ju, Yusheng Zhao, Yifang Qin, Siyu Yi, Jingyang Yuan, Zhiping Xiao, Xiao Luo, Xiting Yan, Ming Zhang
2024 J jnl
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Daqing Wu, Yiyang Gu, Chong Chen, Luchen Liu, Jinwen Ma, Ming Zhang, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2024 J jnl
DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation.
CoRR
Pengyun Wang, Yadi Cao, Chris Russell, Siyu Heng, Junyu Luo, Yanxin Shen, Xiao Luo
2024 — conf
DEMO: A Statistical Perspective for Efficient Image-Text Matching.
NAACL-HLT
Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo
2024 J jnl
DEMO: A Statistical Perspective for Efficient Image-Text Matching.
CoRR
Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo
2024 J jnl
DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.
IEEE Trans. Knowl. Data Eng.
Haixin Wang, Huiyu Jiang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
2024 A* conf
DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.
ICLR
Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
2024 J jnl
Discrepancy and Structure-Based Contrast for Test-Time Adaptive Retrieval.
IEEE Trans. Multim.
Zeyu Ma, Yuqi Li, Yizhi Luo, Xiao Luo, Jinxing Li, Chong Chen, Xian-Sheng Hua, Guangming Lu
2024 J jnl
DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.
CoRR
Yifan Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua, Ming Zhang, Wei Ju
2024 A* conf
EGODE: An Event-attended Graph ODE Framework for Modeling Rigid Dynamics.
NeurIPS
Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang
2024 J jnl
Embracing Large Language Models in Traffic Flow Forecasting.
CoRR
Yusheng Zhao, Xiao Luo, Haomin Wen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 J jnl
FATE: Learning Effective Binary Descriptors With Group Fairness.
IEEE Trans. Image Process.
Fan Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
2024 — conf
FUSE: Measure-Theoretic Compact Fuzzy Set Representation for Taxonomy Expansion.
ACL (Findings)
Fred Xu, Song Jiang, Zijie Huang, Xiao Luo, Shichang Zhang, Yuanzhou Chen, Yizhou Sun
2024 A* conf
Fast Inference of Removal-Based Node Influence.
WWW
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
2024 J jnl
Fast Inference of Removal-Based Node Influence.
CoRR
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
2024 A* conf
Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval.
CVPR
Fan Zhang, Xian-Sheng Hua, Chong Chen, Xiao Luo
2024 J jnl
Focus on informative graphs! Semi-supervised active learning for graph-level classification.
Pattern Recognit.
Wei Ju, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Siyu Yi, Zhiping Xiao, Xiao Luo, Yanjie Fu, Ming Zhang
2024 J jnl
GALA: Graph Diffusion-Based Alignment With Jigsaw for Source-Free Domain Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell.
Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang
2024 J jnl
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation.
CoRR
Junyu Luo, Yiyang Gu, Xiao Luo, Wei Ju, Zhiping Xiao, Yusheng Zhao, Jingyang Yuan, Ming Zhang
2024 J jnl
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR
Wei Ju, Yiyang Gu, Zhengyang Mao, Ziyue Qiao, Yifang Qin, Xiao Luo, Hui Xiong, Ming Zhang
2024 — conf
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research.
EMNLP (Findings)
Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu, Wenjin Jim Zheng, Hongyu Zhao
2024 J jnl
Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research.
CoRR
Tianyu Liu, Yijia Xiao, Xiao Luo, Hua Xu, W. Jim Zheng, Hongyu Zhao
2024 J jnl
Graph Fourier Neural ODEs: Bridging Spatial and Temporal Multiscales in Molecular Dynamics.
CoRR
Fang Sun, Zijie Huang, Haixin Wang, Yadi Cao, Xiao Luo, Wei Wang, Yizhou Sun
2024 J jnl
HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Zeyu Ma, Siwei Wang, Xiao Luo, Zhonghui Gu, Chong Chen, Jinxing Li, Xian-Sheng Hua, Guangming Lu
2024 J jnl
HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell.
Fan Zhang, Hang Zhou, Xian-Sheng Hua, Chong Chen, Xiao Luo
2024 A* conf
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
ICML
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Hypergraph-enhanced Dual Semi-supervised Graph Classification.
CoRR
Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang
2024 J jnl
Information filtering and interpolating for semi-supervised graph domain adaptation.
Pattern Recognit.
Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong
2024 A* conf
LION: Implicit Vision Prompt Tuning.
AAAI
Haixin Wang, Jianlong Chang, Yihang Zhai, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian
2024 A* conf
Large Language Models Can Be Contextual Privacy Protection Learners.
EMNLP
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng
2024 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2024 J jnl
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval.
IEEE Trans. Knowl. Data Eng.
Haixin Wang, Xinlong Yang, Jinan Sun, Shikun Zhang, Chong Chen, Xiansheng Hua, Xiao Luo
2024 J jnl
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Nan Yin, Li Shen, Huan Xiong, Bin Gu, Chong Chen, Xian-Sheng Hua, Siwei Liu, Xiao Luo
2024 A* conf
Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.
ICDE
Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui
2024 A* conf
PGODE: Towards High-quality System Dynamics Modeling.
ICML
Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun
2024 A conf
PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment.
CIKM
Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou
2024 A* conf
PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling.
NeurIPS
Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen, Xian-Sheng Hua, Xiao Luo
2024 A* conf
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
ACM Multimedia
Hao Wu, Fan Xu, Chong Chen, Xian-Sheng Hua, Xiao Luo, Haixin Wang
2024 A* conf
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.
NeurIPS
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2024 J jnl
Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling.
CoRR
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2024 J jnl
PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR
Yifang Qin, Wei Ju, Xiao Luo, Yiyang Gu, Zhiping Xiao, Ming Zhang
2024 A* conf
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE.
ICML
Hao Wu, Huiyuan Wang, Kun Wang, Weiyan Wang, Changan Ye, Yangyu Tao, Chong Chen, Xian-Sheng Hua, Xiao Luo
2024 J jnl
ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing.
IEEE Trans. Inf. Forensics Secur.
Xinlong Yang, Haixin Wang, Jinan Sun, Yijia Xiao, Wei Xiang, Chong Chen, Xian-Sheng Hua, Xiao Luo
2024 A* conf
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
IJCAI
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Rank and Align: Towards Effective Source-free Graph Domain Adaptation.
CoRR
Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang
2024 J jnl
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey.
CoRR
Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, Yizhou Sun
2024 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2024 J jnl
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response.
CoRR
Junyu Luo, Xiao Luo, Kaize Ding, Jingyang Yuan, Zhiping Xiao, Ming Zhang
2024 J jnl
SPORT: A Subgraph Perspective on Graph Classification with Label Noise.
ACM Trans. Knowl. Discov. Data
Nan Yin, Li Shen, Chong Chen, Xiansheng Hua, Xiao Luo
2024 J jnl
Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Wei Ju, Yiyang Gu, Zhengyang Mao, Luchen Liu, Yuhui Yuan, Ming Zhang
2024 A* conf
Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data.
NeurIPS
Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen, Xian-Sheng Hua, Xiao Luo, Hongyu Zhao
2024 J jnl
SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation.
CoRR
Junyu Luo, Xiao Luo, Xiusi Chen, Zhiping Xiao, Wei Ju, Ming Zhang
2024 J jnl
Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.
ACM Trans. Multim. Comput. Commun. Appl.
Xiao Luo, Wei Ju, Yiyang Gu, Yifang Qin, Siyu Yi, Daqing Wu, Luchen Liu, Ming Zhang
2024 J jnl
Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR
Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
2024 J jnl
Towards Semi-Supervised Universal Graph Classification.
IEEE Trans. Knowl. Data Eng.
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 J jnl
A Comprehensive Survey on Deep Graph Representation Learning.
CoRR
Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang
2023 J jnl
A Diffusion model for POI recommendation.
CoRR
Yifang Qin, Hongjun Wu, Wei Ju, Xiao Luo, Ming Zhang
2023 J jnl
A Survey on Deep Hashing Methods.
ACM Trans. Knowl. Discov. Data
Xiao Luo, Haixin Wang, Daqing Wu, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2023 A* conf
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
ACM Multimedia
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 J jnl
ALEX: Towards Effective Graph Transfer Learning with Noisy Labels.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Zhengyang Mao, Wei Ju, Ming Zhang
2023 A* conf
CARE: Modeling Interacting Dynamics Under Temporal Environmental Variation.
NeurIPS
Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Gangan, Song Jiang, Yizhou Sun
2023 A* conf
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
KDD
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
2023 J jnl
CF-GODE: Continuous-Time Causal Inference for Multi-Agent Dynamical Systems.
CoRR
Song Jiang, Zijie Huang, Xiao Luo, Yizhou Sun
2023 A* conf
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
ICML
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 J jnl
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
CoRR
Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 A* conf
DANCE: Learning A Domain Adaptive Framework for Deep Hashing.
WWW
Haixin Wang, Jinan Sun, Xiang Wei, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 A* conf
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
ICDE
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
CoRR
Yusheng Zhao, Xiao Luo, Wei Ju, Chong Chen, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Few-shot Molecular Property Prediction via Hierarchically Structured Learning on Relation Graphs.
Neural Networks
Wei Ju, Zequn Liu, Yifang Qin, Bin Feng, Chen Wang, Zhihui Guo, Xiao Luo, Ming Zhang
2023 A* conf
GLCC: A General Framework for Graph-Level Clustering.
AAAI
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2023 J jnl
Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR
Xiao Luo, Yiyang Gu, Huiyu Jiang, Jinsheng Huang, Wei Ju, Ming Zhang, Yizhou Sun
2023 A* conf
HOPE: High-order Graph ODE For Modeling Interacting Dynamics.
ICML
Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Hierarchical graph transformer with contrastive learning for protein function prediction.
Bioinform.
Zhonghui Gu, Xiao Luo, Jiaxiao Chen, Minghua Deng, Luhua Lai
2023 A* conf
IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.
NeurIPS
Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 J jnl
LION: Implicit Vision Prompt Tuning.
CoRR
Haixin Wang, Jianlong Chang, Xiao Luo, Jinan Sun, Zhouchen Lin, Qi Tian
2023 J jnl
Large Language Models Can Be Good Privacy Protection Learners.
CoRR
Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
2023 J jnl
Learning Graph ODE for Continuous-Time Sequential Recommendation.
CoRR
Yifang Qin, Wei Ju, Hongjun Wu, Xiao Luo, Ming Zhang
2023 Misc conf
Learning on Graphs under Label Noise.
ICASSP
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 J jnl
Learning on Graphs under Label Noise.
CoRR
Jingyang Yuan, Xiao Luo, Yifang Qin, Yusheng Zhao, Wei Ju, Ming Zhang
2023 J jnl
Mode Approximation Makes Good Multimodal Prompts.
CoRR
Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian
2023 J jnl
OMG: Towards Effective Graph Classification Against Label Noise.
IEEE Trans. Knowl. Data Eng.
Nan Yin, Li Shen, Mengzhu Wang, Xiao Luo, Zhigang Luo, Dacheng Tao
2023 A* conf
Parameter-efficient Tuning of Large-scale Multimodal Foundation Model.
NeurIPS
Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian
2023 J jnl
PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
CoRR
Hao Wu, Wei Xiong, Fan Xu, Xiao Luo, Chong Chen, Xian-Sheng Hua, Haixin Wang
2023 A* conf
Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval.
ICCV
Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo
2023 A* conf
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
ACM Multimedia
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RAHNet: Retrieval Augmented Hybrid Network for Long-tailed Graph Classification.
CoRR
Zhengyang Mao, Wei Ju, Yifang Qin, Xiao Luo, Ming Zhang
2023 J jnl
RIGNN: A Rationale Perspective for Semi-supervised Open-world Graph Classification.
Trans. Mach. Learn. Res.
Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
2023 J jnl
Redundancy-Free Self-Supervised Relational Learning for Graph Clustering.
CoRR
Siyu Yi, Wei Ju, Yifang Qin, Xiao Luo, Luchen Liu, Yong-Dao Zhou, Ming Zhang
2023 A* conf
Semi-supervised Domain Adaptation in Graph Transfer Learning.
IJCAI
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
2023 J jnl
Semi-supervised Domain Adaptation in Graph Transfer Learning.
CoRR
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
2023 J jnl
TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems.
CoRR
Zijie Huang, Wanjia Zhao, Jingdong Gao, Ziniu Hu, Xiao Luo, Yadi Cao, Yuanzhou Chen, Yizhou Sun, Wei Wang
2023 J jnl
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
CoRR
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2023 J jnl
Toward Effective Domain Adaptive Retrieval.
IEEE Trans. Image Process.
Haixin Wang, Jinan Sun, Xiao Luo, Wei Xiang, Shikun Zhang, Chong Chen, Xian-Sheng Hua
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
CoRR
Siyu Yi, Zhengyang Mao, Wei Ju, Yongdao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts.
IEEE Trans. Big Data
Siyu Yi, Zhengyang Mao, Wei Ju, Yong-Dao Zhou, Luchen Liu, Xiao Luo, Ming Zhang
2023 J jnl
Towards Semi-supervised Universal Graph Classification.
CoRR
Xiao Luo, Yusheng Zhao, Yifang Qin, Wei Ju, Ming Zhang
2023 J jnl
Unsupervised graph-level representation learning with hierarchical contrasts.
Neural Networks
Wei Ju, Yiyang Gu, Xiao Luo, Yifan Wang, Haochen Yuan, Huasong Zhong, Ming Zhang
2023 J jnl
Zero-shot Node Classification with Graph Contrastive Embedding Network.
Trans. Mach. Learn. Res.
Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang
2022 B conf
Adaptive Harmony Learning and Optimization for Attributed Graph Clustering.
IJCNN
Daqing Wu, Xiangyang Guo, Xiao Luo, Ziyue Qiao, Jinwen Ma
2022 Misc conf
Attention-based Adversarial Partial Domain Adaptation.
ICASSP
Mengzhu Wang, Shan An, Xiao Luo, Xiong Peng, Wei Yu, Junyang Chen, Zhigang Luo
2022 A* conf
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.
ACM Multimedia
Nan Yin, Li Shen, Baopu Li, Mengzhu Wang, Xiao Luo, Chong Chen, Zhigang Luo, Xian-Sheng Hua
2022 Misc conf
DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.
ICASSP
Zeyu Ma, Yuhang Guo, Xiao Luo, Chong Chen, Minghua Deng, Wei Cheng, Guangming Lu
2022 A* conf
DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
ICDE
Xiao Luo, Wei Ju, Meng Qu, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2022 A* conf
Dynamic Hypergraph Convolutional Network.
ICDE
Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua
2022 A* conf
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning.
NeurIPS
Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
2022 J jnl
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning.
CoRR
Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
2022 J jnl
GHNN: Graph Harmonic Neural Networks for semi-supervised graph-level classification.
Neural Networks
Wei Ju, Xiao Luo, Zeyu Ma, Junwei Yang, Minghua Deng, Ming Zhang
2022 J jnl
GLCC: A General Framework for Graph-level Clustering.
CoRR
Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang
2022 A* conf
HEART: Towards Effective Hash Codes under Label Noise.
ACM Multimedia
Jinan Sun, Haixin Wang, Xiao Luo, Shikun Zhang, Wei Xiang, Chong Chen, Xian-Sheng Hua
2022 J jnl
Improve Deep Unsupervised Hashing via Structural and Intrinsic Similarity Learning.
IEEE Signal Process. Lett.
Xiao Luo, Zeyu Ma, Wei Cheng, Minghua Deng
2022 A* conf
Improved Deep Unsupervised Hashing via Prototypical Learning.
ACM Multimedia
Zeyu Ma, Wei Ju, Xiao Luo, Chong Chen, Xian-Sheng Hua, Guangming Lu
2022 A* conf
Improved Deep Unsupervised Hashing with Fine-grained Semantic Similarity Mining for Multi-Label Image Retrieval.
IJCAI
Zeyu Ma, Xiao Luo, Yingjie Chen, Mixiao Hou, Jinxing Li, Minghua Deng, Guangming Lu
2022 A* conf
Kernel-based Substructure Exploration for Next POI Recommendation.
ICDM
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 J jnl
Kernel-based Substructure Exploration for Next POI Recommendation.
CoRR
Wei Ju, Yifang Qin, Ziyue Qiao, Xiao Luo, Yifan Wang, Yanjie Fu, Ming Zhang
2022 A* conf
Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition.
ACM Multimedia
Yingjie Chen, Chong Chen, Xiao Luo, Jianqiang Huang, Xian-Sheng Hua, Tao Wang, Yun Liang
2022 A* conf
TGNN: A Joint Semi-supervised Framework for Graph-level Classification.
IJCAI
Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang
2021 A* conf
A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.
ACM Multimedia
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2021 B conf
ARGO: Modeling Heterogeneity in E-commerce Recommendation.
IJCNN
Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
2021 J jnl
ARGO: Modeling Heterogeneity in E-commerce Recommendation.
CoRR
Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma
2021 B conf
An Interpretation of Convolutional Neural Networks for Motif Finding from the View of Probability.
ICTAI
Weinan Wang, Yuhang Guo, Wei Ju, Xiao Luo, Minghua Deng
2021 — conf
Average Mean Functions Based EM Algorithm for Mixtures of Gaussian Processes.
ICONIP (5)
Tao Li, Xiao Luo, Jinwen Ma
2021 A* conf
CIMON: Towards High-quality Hash Codes.
IJCAI
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Minghua Deng, Jinwen Ma, Zhongming Jin, Jianqiang Huang, Xian-Sheng Hua
2021 A* conf
Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
ICDM
Daqing Wu, Xiao Luo, Zeyu Ma, Chong Chen, Pengfei Wang, Minghua Deng, Jinwen Ma
2021 — conf
Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.
ICONIP (1)
Daqing Wu, Xiao Luo, Xiangyang Guo, Chong Chen, Minghua Deng, Jinwen Ma
2021 J jnl
Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
CoRR
Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng, Chen Shen, Jianqiang Huang, Xian-Sheng Hua
2021 — conf
DNA-GCN: Graph Convolutional Networks for Predicting DNA-Protein Binding.
ICIC (3)
Yuhang Guo, Xiao Luo, Liang Chen, Minghua Deng
2021 J jnl
DNA-GCN: Graph convolutional networks for predicting DNA-protein binding.
CoRR
Yuhang Guo, Xiao Luo, Liang Chen, Minghua Deng
2021 — conf
Deep Supervised Hashing by Classification for Image Retrieval.
ICONIP (4)
Xiao Luo, Yuhang Guo, Zeyu Ma, Huasong Zhong, Tao Li, Wei Ju, Chong Chen, Minghua Deng
2021 A conf
Deep Unsupervised Hashing by Distilled Smooth Guidance.
ICME
Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
2021 J jnl
Deep Unsupervised Hashing by Distilled Smooth Guidance.
CoRR
Xiao Luo, Zeyu Ma, Daqing Wu, Huasong Zhong, Chong Chen, Jinwen Ma, Minghua Deng
2021 A conf
Deep Unsupervised Hashing by Global and Local Consistency.
ICME
Xiao Luo, Daqing Wu, Chong Chen, Jinwen Ma, Minghua Deng
2020 J jnl
A Survey on Deep Hashing Methods.
CoRR
Xiao Luo, Chong Chen, Huasong Zhong, Hao Zhang, Minghua Deng, Jianqiang Huang, Xiansheng Hua
2020 J jnl
CIMON: Towards High-quality Hash Codes.
CoRR
Xiao Luo, Daqing Wu, Zeyu Ma, Chong Chen, Huasong Zhong, Minghua Deng, Jianqiang Huang, Xian-Sheng Hua
2020 J jnl
Expectation pooling: an effective and interpretable pooling method for predicting DNA-protein binding.
Bioinform.
Xiao Luo, Xinming Tu, Yang Ding, Ge Gao, Minghua Deng