Xiang Li

223 papers A* 40A 16B 3Misc 3Journal 118Unranked 43
YearRankTypeTitle / Venue / Authors
2026 J jnl
A survey on learning from graphs with heterophily: recent advances and future directions.
Frontiers Comput. Sci.
Cheng-Hua Gong, Yao Cheng, Jian-Xiang Yu, Can Xu, Cai-Hua Shan, Siqiang Luo, Xiang Li
2026 J jnl
APEX: Academic Poster Editing Agentic Expert.
CoRR
Chengxin Shi, Qinnan Cai, Zeyuan Chen, Long Zeng, Yibo Zhao, Jing Yu, Jianxiang Yu, Xiang Li
2026 J jnl
Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models.
CoRR
Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li
2026 J jnl
GRACE: Reinforcement Learning for Grounded Response and Abstention under Contextual Evidence.
CoRR
Yibo Zhao, Jiapeng Zhu, Zichen Ding, Xiang Li
2026 A* conf
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving.
AAAI
Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li
2026 A conf
Laminar: A Scalable Asynchronous RL Post-Training Framework.
EuroSys
Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu
2026 — conf
MTGenRec: An Efficient Distributed Training System for Generative Recommendation Models in Meituan.
KDD (1)
Yuxiang Wang, Chi Ma, Xiao Yan, Mincong Huang, Xiaoguang Li, Ruidong Han, Bin Yin, Shangyu Chen, Xiang Li, Fei Jiang, Lei Yu, Chuan Liu, Wei Lin, Haowei Han, Xiaokai Zhou, Bo Du, Jiawei Jiang
2026 A conf
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production.
EuroSys
Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2026 J jnl
Unsupervised Text Style Transfer for Controllable Intensity.
CoRR
Shuhuan Gu, Wenbiao Tao, Xinchen Ma, Kangkang He, Ye Guo, Xiang Li, Yunshi Lan
2025 A conf
A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation.
CIKM
Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin
2025 J jnl
A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation.
CoRR
Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin
2025 J jnl
Accelerating brain T2-weighted imaging using artificial intelligence-assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI.
BMC Medical Imaging
Yun Wen, Huan Ma, Shaoxin Xiang, Zhichao Feng, Chuanjiang Guan, Xiang Li
2025 J jnl
AirSim360: A Panoramic Simulation Platform within Drone View.
CoRR
Xian Ge, Yuling Pan, Yuhang Zhang, Xiang Li, Weijun Zhang, Dizhe Zhang, Zhaoliang Wan, Xin Lin, Xiangkai Zhang, Juntao Liang, Jason Li, Wenjie Jiang, Bo Du, Ming-Hsuan Yang, Lu Qi
2025 J jnl
Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon.
CoRR
Xuchen Ma, Jianxiang Yu, Wenming Shao, Bo Pang, Xiang Li
2025 A* conf
Can Large Language Models Act as Ensembler for Multi-GNNs?
EMNLP
Hanqi Duan, Yao Cheng, Jianxiang Yu, Yao Liu, Xiang Li
2025 — conf
Demystifying Small Language Models for Edge Deployment.
ACL (1)
Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Wei Liu, Jian Luan, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu
2025 J jnl
E
CoRR
Yibo Zhao, Jiapeng Zhu, Ye Guo, Kangkang He, Xiang Li
2025 — conf
Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.
ACL (Findings)
Yibo Zhao, Jiapeng Zhu, Can Xu, Yao Liu, Xiang Li
2025 — conf
GraphCBAL-Sys: A Class-Balanced Active Learning System for Graphs.
DASFAA (6)
Chengcheng Yu, Wenqian Zhou, Jiahui Wang, Fangshu Chen, Jiapeng Zhu, Xiang Li
2025 A* conf
Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning.
ICDE
Jianing Si, Haitao Yuan, Xiang Li, Nan Jiang, Xiao Ma, Guoliang Li, Shangguang Wang
2025 A* conf
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.
WWW
Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li
2025 J jnl
Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection.
CoRR
Long Zeng, Jianxiang Yu, Jiapeng Zhu, Qingsong Zhong, Xiang Li
2025 J jnl
Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving.
CoRR
Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li
2025 — conf
Initializing and Retrofitting Key-Value Adaptors for Traceable Model Editing.
ACL (Findings)
Hanlun Zhu, Yunshi Lan, Xiang Li, Weining Qian
2025 J jnl
Laminar: A Scalable Asynchronous RL Post-Training Framework.
CoRR
Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu
2025 A* conf
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract).
ICDE
Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li
2025 — conf
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models.
ACL (Findings)
Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu
2025 A* conf
Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs.
AAAI
Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2025 B conf
LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks.
COLING
Xiang Li, Chen Shi, Yong Xu, Jun Huang
2025 J jnl
MARS: Modality-Aligned Retrieval for Sequence Augmented CTR Prediction.
CoRR
Yutian Xiao, Shukuan Wang, Binhao Wang, Zhao Zhang, Yanze Zhang, Shanqi Liu, Chao Feng, Xiang Li, Fuzhen Zhuang
2025 A conf
MTGR: Industrial-Scale Generative Recommendation Framework in Meituan.
CIKM
Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, Menglei Zhou, Lei Yu, Chuan Liu, Wei Lin
2025 J jnl
MTGR: Industrial-Scale Generative Recommendation Framework in Meituan.
CoRR
Ruidong Han, Bin Yin, Shangyu Chen, He Jiang, Fei Jiang, Xiang Li, Chi Ma, Mincong Huang, Xiaoguang Li, Chunzhen Jing, Yueming Han, Menglei Zhou, Lei Yu, Chuan Liu, Wei Lin
2025 J jnl
MTGRBoost: Boosting Large-scale Generative Recommendation Models in Meituan.
CoRR
Yuxiang Wang, Xiao Yan, Chi Ma, Mincong Huang, Xiaoguang Li, Lei Yu, Chuan Liu, Ruidong Han, He Jiang, Bin Yin, Shangyu Chen, Fei Jiang, Xiang Li, Wei Lin, Haowei Han, Bo Du, Jiawei Jiang
2025 J jnl
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production.
CoRR
Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2025 — conf
Multi-level Relevance Document Identifier Learning for Generative Retrieval.
ACL (1)
Fuwei Zhang, Xiaoyu Liu, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Fuzhen Zhuang, Wei Lin, Zhao Zhang
2025 — conf
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.
NAACL (Long Papers)
Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2025 — conf
Permitted Knowledge Boundary: Evaluating the Knowledge-Constrained Responsiveness of Large Language Models.
EMNLP (Findings)
Wenrui Bao, Kai Wang, Siqiang Luo, Xiang Li
2025 — conf
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.
KDD (1)
Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian
2025 J jnl
Relation-Aware Graph Foundation Model.
CoRR
Jianxiang Yu, Jiapeng Zhu, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Xiang Li
2025 — conf
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
IJCNLP-AACL (long papers)
Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Yao Liu, Xiang Li
2025 J jnl
ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows.
CoRR
Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu
2025 A* conf
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization.
EMNLP
Jing Yu, Yibo Zhao, Jiapeng Zhu, Wenming Shao, Bo Pang, Zhao Zhang, Xiang Li
2025 J jnl
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization.
CoRR
Jing Yu, Yibo Zhao, Jiapeng Zhu, Wenming Shao, Bo Pang, Zhao Zhang, Xiang Li
2025 A conf
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning.
CIKM
Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025 J jnl
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning.
CoRR
Tiandi Ye, Wenyan Liu, Kai Yao, Lichun Li, Shangchao Su, Cen Chen, Xiang Li, Shan Yin, Ming Gao
2025 — conf
Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes.
KDD (1)
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2024 J jnl
A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
CoRR
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
2024 J jnl
Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation.
CoRR
Xiufeng Shu, Ruidong Han, Xiang Li, Wei Lin
2024 A conf
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.
CIKM
Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Weizhi Ma, Jiaxin Mao
2024 J jnl
Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information.
CoRR
Yurou Zhao, Yiding Sun, Ruidong Han, Fei Jiang, Lu Guan, Xiang Li, Wei Lin, Jiaxin Mao
2024 — conf
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.
LREC/COLING
Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang
2024 J jnl
AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.
CoRR
Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin
2024 — conf
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
EMNLP (Findings)
Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li
2024 J jnl
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis.
CoRR
Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li
2024 J jnl
BapFL: You can Backdoor Personalized Federated Learning.
ACM Trans. Knowl. Discov. Data
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2024 J jnl
Boosting Graph Foundation Model from Structural Perspective.
CoRR
Yao Cheng, Yige Zhao, Jianxiang Yu, Xiang Li
2024 — conf
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
ACL (1)
Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao
2024 J jnl
Can Large Language Models Act as Ensembler for Multi-GNNs?
CoRR
Hanqi Duan, Yao Cheng, Jianxiang Yu, Xiang Li
2024 J jnl
Class-Balanced and Reinforced Active Learning on Graphs.
CoRR
Chengcheng Yu, Jiapeng Zhu, Xiang Li
2024 — conf
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition.
LREC/COLING
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2024 — conf
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.
WWW (Companion Volume)
Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
2024 J jnl
Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai.
CoRR
Zhichao Feng, Junjie Xie, Kaiyuan Li, Yu Qin, Pengfei Wang, Qianzhong Li, Bin Yin, Xiang Li, Wei Lin, Shangguang Wang
2024 A* conf
Cross-model Control: Improving Multiple Large Language Models in One-time Training.
NeurIPS
Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
2024 J jnl
Cross-model Control: Improving Multiple Large Language Models in One-time Training.
CoRR
Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao
2024 A* conf
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.
ICDM
Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024 J jnl
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning.
CoRR
Kangyang Luo, Shuai Wang, Yexuan Fu, Renrong Shao, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024 J jnl
Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning.
CoRR
Yongquan He, Xuancheng Huang, Minghao Tang, Lingxun Meng, Xiang Li, Wei Lin, Wenyuan Zhang, Yifu Gao
2024 J jnl
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR Framework.
CoRR
Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin
2024 A conf
Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework.
CIKM
Ruidong Han, Qianzhong Li, He Jiang, Rui Li, Yurou Zhao, Xiang Li, Wei Lin
2024 J jnl
Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph.
CoRR
Yibo Zhao, Jiapeng Zhu, Can Xu, Xiang Li
2024 Misc conf
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.
ICASSP
Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao
2024 — conf
FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences.
USENIX ATC
Mengwei Xu, Dongqi Cai, Yaozong Wu, Xiang Li, Shangguang Wang
2024 A conf
GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning.
CIKM
Chengcheng Yu, Jiapeng Zhu, Xiang Li
2024 — conf
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness.
ECML/PKDD (6)
Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
2024 J jnl
Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples.
IEEE Trans. Knowl. Data Eng.
Jianxiang Yu, Qingqing Ge, Xiang Li, Aoying Zhou
2024 J jnl
Improving Graph Out-of-distribution Generalization on Real-world Data.
CoRR
Can Xu, Yao Cheng, Jianxiang Yu, Haosen Wang, Jingsong Lv, Xiang Li
2024 A conf
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.
RecSys
Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin
2024 J jnl
LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding.
CoRR
Zhizhong Wan, Bin Yin, Junjie Xie, Fei Jiang, Xiang Li, Wei Lin
2024 — conf
Large Language Models on Mobile Devices: Measurements, Analysis, and Insights.
EdgeFM@MobiSys
Xiang Li, Zhenyan Lu, Dongqi Cai, Xiao Ma, Mengwei Xu
2024 J jnl
Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Yao Cheng, Minjie Chen, Caihua Shan, Xiang Li
2024 J jnl
Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models.
CoRR
Kangyang Luo, Zichen Ding, Zhenmin Weng, Lingfeng Qiao, Meng Zhao, Xiang Li, Di Yin, Jinlong Shu
2024 — conf
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
LREC/COLING
Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
2024 Misc conf
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.
NSDI
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
2024 J jnl
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.
CoRR
Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
2024 A* conf
Mobile Foundation Model as Firmware.
MobiCom
Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu
2024 — conf
More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs.
USENIX ATC
Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Yang, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
2024 J jnl
MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs.
Sci. China Inf. Sci.
Xuanzhe Liu, Yihao Zhao, Shufan Liu, Xiang Li, Yibo Zhu, Xin Liu, Xin Jin
2024 J jnl
PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization.
CoRR
Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao
2024 — conf
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.
ECML/PKDD (5)
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2024 J jnl
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training.
CoRR
Rongjie Yi, Xiang Li, Weikai Xie, Zhenyan Lu, Chenghua Wang, Ao Zhou, Shangguang Wang, Xiwen Zhang, Mengwei Xu
2024 J jnl
Predicting stock market trends with self-supervised learning.
Neurocomputing
Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang
2024 J jnl
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator.
CoRR
Kangyang Luo, Shuai Wang, Xiang Li, Yunshi Lan, Ming Gao, Jinlong Shu
2024 J jnl
RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning.
CoRR
Jiapeng Zhu, Zichen Ding, Jianxiang Yu, Jiaqi Tan, Xiang Li, Weining Qian
2024 A* conf
Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.
KDD
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2024 J jnl
SEAGraph: Unveiling the Whole Story of Paper Review Comments.
CoRR
Jianxiang Yu, Jiaqi Tan, Zichen Ding, Jiapeng Zhu, Jiahao Li, Yao Cheng, Qier Cui, Yunshi Lan, Xiang Li
2024 J jnl
SMEC: Scene Mining for E-Commerce.
J. Comput. Sci. Technol.
Gang Wang, Xiang Li, Ziyi Guo, Dawei Yin, Shuai Ma
2024 J jnl
Scalable decoupling graph neural network with feature-oriented optimization.
VLDB J.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2024 — conf
Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks.
ECML/PKDD (2)
Chenghua Gong, Xiang Li, Jianxiang Yu, Yao Cheng, Jiaqi Tan, Chengcheng Yu
2024 J jnl
Small Language Models: Survey, Measurements, and Insights.
CoRR
Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu
2024 — conf
Structure-aware Fine-tuning for Code Pre-trained Models.
LREC/COLING
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2024 J jnl
Structure-aware Fine-tuning for Code Pre-trained Models.
CoRR
Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2024 J jnl
Towards Learning from Graphs with Heterophily: Progress and Future.
CoRR
Chenghua Gong, Yao Cheng, Jianxiang Yu, Can Xu, Caihua Shan, Siqiang Luo, Xiang Li
2024 A* conf
Training-free Multi-objective Diffusion Model for 3D Molecule Generation.
ICLR
Xu Han, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li
2024 — conf
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
LREC/COLING
Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li
2024 J jnl
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning.
CoRR
Xiang Li, Yunshi Lan, Chao Yang
2024 A conf
UPFL: Unsupervised Personalized Federated Learning towards New Clients.
SDM
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2024 A* conf
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.
KDD
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024 J jnl
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation.
CoRR
Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024 — conf
Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels.
DASFAA (2)
Wei Liu, Shangsong Liang, Huaijie Zhu, Leong Hou U, Jianxing Yu, Xiang Li, Jian Yin
2023 J jnl
Boosting Language Models Reasoning with Chain-of-Knowledge Prompting.
CoRR
Jianing Wang, Qiushi Sun, Nuo Chen, Xiang Li, Ming Gao
2023 A* conf
CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model.
SIGIR
Ran Le, Guoqing Jiang, Xiufeng Shu, Ruidong Han, Qianzhong Li, Yacheng Li, Xiang Li, Wei Lin
2023 — conf
Context-Aware Session-Based Recommendation with Graph Neural Networks.
ICKG
Zhihui Zhang, Jianxiang Yu, Xiang Li
2023 J jnl
Context-aware Session-based Recommendation with Graph Neural Networks.
CoRR
Zhihui Zhang, Jianxiang Yu, Xiang Li
2023 J jnl
Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration.
CoRR
Qiushi Sun, Zhangyue Yin, Xiang Li, Zhiyong Wu, Xipeng Qiu, Lingpeng Kong
2023 A* conf
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
NeurIPS
Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
2023 J jnl
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning.
CoRR
Kangyang Luo, Shuai Wang, Yexuan Fu, Xiang Li, Yunshi Lan, Ming Gao
2023 A conf
Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization.
ECAI
Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao
2023 J jnl
Decentralized Local Updates with Dual-Slow Estimation and Momentum-based Variance-Reduction for Non-Convex Optimization.
CoRR
Kangyang Luo, Kunkun Zhang, Shengbo Zhang, Xiang Li, Ming Gao
2023 A* conf
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.
EMNLP
Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang
2023 J jnl
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models.
CoRR
Chengcheng Han, Xiaowei Du, Che Zhang, Yixin Lian, Xiang Li, Ming Gao, Baoyuan Wang
2023 — conf
DropMix: Better Graph Contrastive Learning with Harder Negative Samples.
ICDM (Workshops)
Yueqi Ma, Minjie Chen, Xiang Li
2023 A* conf
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
WWW
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023 J jnl
Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.
CoRR
Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan
2023 J jnl
Empower Text-Attributed Graphs Learning with Large Language Models (LLMs).
CoRR
Jianxiang Yu, Yuxiang Ren, Chenghua Gong, Jiaqi Tan, Xiang Li, Xuecang Zhang
2023 J jnl
Enhancing Graph Neural Networks with Structure-Based Prompt.
CoRR
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
2023 — conf
Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li
2023 J jnl
Exchanging-based Multimodal Fusion with Transformer.
CoRR
Renyu Zhu, Chengcheng Han, Yong Qian, Qiushi Sun, Xiang Li, Ming Gao, Xuezhi Cao, Yunsen Xian
2023 A* conf
Explaining Temporal Graph Models through an Explorer-Navigator Framework.
ICLR
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li
2023 J jnl
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.
CoRR
Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
2023 J jnl
Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices.
CoRR
Mengwei Xu, Yaozong Wu, Dongqi Cai, Xiang Li, Shangguang Wang
2023 J jnl
Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence.
CoRR
Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao
2023 A* conf
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
CVPR
Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao
2023 J jnl
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting.
CoRR
Kangyang Luo, Xiang Li, Yunshi Lan, Ming Gao
2023 A* conf
Graph Self-Contrast Representation Learning.
ICDM
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
2023 J jnl
Graph Self-Contrast Representation Learning.
CoRR
Minjie Chen, Yao Cheng, Ye Wang, Xiang Li, Ming Gao
2023 A conf
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.
SDM
Jianxiang Yu, Xiang Li
2023 A conf
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.
RecSys
Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin
2023 J jnl
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.
CoRR
Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin
2023 A* conf
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts.
ACM Multimedia
Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian
2023 J jnl
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts.
CoRR
Yunshi Lan, Xiang Li, Xin Liu, Yang Li, Wei Qin, Weining Qian
2023 A* conf
Interactive Recommendation System for Meituan Waimai.
SIGIR
Chen Ji, Yacheng Li, Rui Li, Fei Jiang, Xiang Li, Wei Lin, Chenglong Zhang, Wei Wang, Shuyang Wang
2023 A* conf
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings.
NeurIPS
Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi
2023 J jnl
Label Propagation for Graph Label Noise.
CoRR
Yao Cheng, Caihua Shan, Yifei Shen, Xiang Li, Siqiang Luo, Dongsheng Li
2023 J jnl
MUSE: Multi-View Contrastive Learning for Heterophilic Graphs.
CoRR
Mengyi Yuan, Minjie Chen, Xiang Li
2023 A conf
MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction.
CIKM
Mengyi Yuan, Minjie Chen, Xiang Li
2023 J jnl
Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives.
CoRR
Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao
2023 J jnl
Meta-Learning Siamese Network for Few-Shot Text Classification.
CoRR
Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou
2023 J jnl
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition.
CoRR
Chengcheng Han, Renyu Zhu, Jun Kuang, Fengjiao Chen, Xiang Li, Ming Gao, Xuezhi Cao, Wei Wu
2023 — conf
Meta-learning Siamese Network for Few-Shot Text Classification.
DASFAA (3)
Chengcheng Han, Yuhe Wang, Yingnan Fu, Xiang Li, Minghui Qiu, Ming Gao, Aoying Zhou
2023 A* conf
Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
KDD
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023 J jnl
Modeling Dual Period-Varying Preferences for Takeaway Recommendation.
CoRR
Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023 J jnl
MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters.
CoRR
Yihao Zhao, Xin Liu, Shufan Liu, Xiang Li, Yibo Zhu, Gang Huang, Xuanzhe Liu, Xin Jin
2023 — conf
Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao
2023 J jnl
Prioritized Propagation in Graph Neural Networks.
CoRR
Yao Cheng, Minjie Chen, Xiang Li, Caihua Shan, Ming Gao
2023 J jnl
Prompt Tuning for Multi-View Graph Contrastive Learning.
CoRR
Chenghua Gong, Xiang Li, Jianxiang Yu, Cheng Yao, Jiaqi Tan, Chengcheng Yu, Dawei Yin
2023 J jnl
Resist Label Noise with PGM for Graph Neural Networks.
CoRR
Qingqing Ge, Jianxiang Yu, Zeyuan Zhao, Xiang Li
2023 J jnl
Rethinking Mobile AI Ecosystem in the LLM Era.
CoRR
Jinliang Yuan, Chen Yang, Dongqi Cai, Shihe Wang, Xin Yuan, Zeling Zhang, Xiang Li, Dingge Zhang, Hanzi Mei, Xianqing Jia, Shangguang Wang, Mengwei Xu
2023 A* conf
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
WWW
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023 J jnl
Self-supervised Heterogeneous Graph Variational Autoencoders.
CoRR
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
2023 J jnl
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
CoRR
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li, Ming Gao
2023 — conf
Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement.
NLPCC (3)
Xiang Li, Hanyue Du, Yike Zhao, Yunshi Lan
2023 J jnl
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills.
CoRR
Qiushi Sun, Nuo Chen, Jianing Wang, Xiang Li, Ming Gao
2023 J jnl
UPFL: Unsupervised Personalized Federated Learning towards New Clients.
CoRR
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2023 — conf
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
EMNLP (Findings)
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023 J jnl
Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding.
CoRR
Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li
2023 — conf
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
ACL (Findings)
Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023 J jnl
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario.
CoRR
Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao
2023 J jnl
You Can Backdoor Personalized Federated Learning.
CoRR
Tiandi Ye, Cen Chen, Yinggui Wang, Xiang Li, Ming Gao
2022 A* conf
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.
WWW
Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu
2022 J jnl
A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices.
CoRR
Qiyang Zhang, Xiang Li, Xiangying Che, Xiao Ma, Ao Zhou, Mengwei Xu, Shangguang Wang, Yun Ma, Xuanzhe Liu
2022 — conf
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.
ACL (1)
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
2022 J jnl
A Neural Network Architecture for Program Understanding Inspired by Human Behaviors.
CoRR
Renyu Zhu, Lei Yuan, Xiang Li, Ming Gao, Wenyuan Cai
2022 Misc conf
An End-to-End Chinese Text Normalization Model Based on Rule-Guided Flat-Lattice Transformer.
ICASSP
Wenlin Dai, Changhe Song, Xiang Li, Zhiyong Wu, Huashan Pan, Xiulin Li, Helen Meng
2022 J jnl
An End-to-end Chinese Text Normalization Model based on Rule-guided Flat-Lattice Transformer.
CoRR
Wenlin Dai, Changhe Song, Xiang Li, Zhiyong Wu, Huashan Pan, Xiulin Li, Helen Meng
2022 — conf
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
EMNLP (Findings)
Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao
2022 J jnl
CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure.
CoRR
Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao
2022 A* conf
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
IJCAI
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022 J jnl
CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning.
CoRR
Di Jin, Luzhi Wang, Yizhen Zheng, Xiang Li, Fei Jiang, Wei Lin, Shirui Pan
2022 A* conf
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
ICML
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 J jnl
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
CoRR
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian
2022 J jnl
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples.
CoRR
Jianxiang Yu, Xiang Li
2022 A* conf
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.
EMNLP
Jianing Wang, Wenkang Huang, Minghui Qiu, Qiuhui Shi, Hongbin Wang, Xiang Li, Ming Gao
2022 J jnl
Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding.
CoRR
Jianing Wang, Wenkang Huang, Qiuhui Shi, Hongbin Wang, Minghui Qiu, Xiang Li, Ming Gao
2022 — conf
Lexical Knowledge Internalization for Neural Dialog Generation.
ACL (1)
Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao
2022 J jnl
Lexical Knowledge Internalization for Neural Dialog Generation.
CoRR
Zhiyong Wu, Wei Bi, Xiang Li, Lingpeng Kong, Ben Kao
2022 A* conf
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
IJCAI
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022 J jnl
RAW-GNN: RAndom Walk Aggregation based Graph Neural Network.
CoRR
Di Jin, Rui Wang, Meng Ge, Dongxiao He, Xiang Li, Wei Lin, Weixiong Zhang
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
CoRR
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 J jnl
SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.
Proc. VLDB Endow.
Ningyi Liao, Dingheng Mo, Siqiang Luo, Xiang Li, Pengcheng Yin
2022 J jnl
SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks.
IEEE Trans. Knowl. Data Eng.
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
2022 J jnl
SoC-Cluster as an Edge Server: an Application-driven Measurement Study.
CoRR
Li Zhang, Zhe Fu, Boqing Shi, Xiang Li, Rujin Lai, Chenyang Chen, Ao Zhou, Xiao Ma, Shangguang Wang, Mengwei Xu
2021 A* conf
Disentangling User Interest and Conformity for Recommendation with Causal Embedding.
WWW
Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2021 — conf
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation.
ACL/IJCNLP (1)
Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao
2021 J jnl
Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation.
CoRR
Zhiyong Wu, Lingpeng Kong, Wei Bi, Xiang Li, Ben Kao
2021 A* conf
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.
ICDE
Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
2021 A* conf
Reinforcement Learning Enhanced Explainer for Graph Neural Networks.
NeurIPS
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li
2021 B conf
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems.
EDBT
Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
2021 J jnl
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems.
CoRR
Gang Wang, Ziyi Guo, Xiang Li, Dawei Yin, Shuai Ma
2021 J jnl
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification.
CoRR
Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He
2021 J jnl
Structure-enhanced meta-learning for few-shot graph classification.
AI Open
Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He
2020 — conf
A General Early-Stopping Module for Crowdsourced Ranking.
DASFAA (2)
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
2020 A* conf
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms.
ICDE
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
2020 A* conf
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data.
KDD
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020 J jnl
CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data.
CoRR
Xiang Li, Ben Kao, Caihua Shan, Dawei Yin, Martin Ester
2020 J jnl
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding.
CoRR
Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2020 J jnl
Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks.
CoRR
Xiang Li, Danhao Ding, Ben Kao, Yizhou Sun, Nikos Mamoulis
2019 J jnl
A General Early-Stopping Module for Crowdsourced Ranking.
CoRR
Caihua Shan, Leong Hou U, Nikos Mamoulis, Reynold Cheng, Xiang Li
2019 J jnl
An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms.
CoRR
Caihua Shan, Nikos Mamoulis, Reynold Cheng, Guoliang Li, Xiang Li, Yuqiu Qian
2019 A* conf
Spectral Clustering in Heterogeneous Information Networks.
AAAI
Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin
2018 A* conf
ROSC: Robust Spectral Clustering on Multi-scale Data.
WWW
Xiang Li, Ben Kao, Siqiang Luo, Martin Ester
2017 A* conf
Semi-supervised Clustering in Attributed Heterogeneous Information Networks.
WWW
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng
2016 A* conf
Meta Structure: Computing Relevance in Large Heterogeneous Information Networks.
KDD
Zhipeng Huang, Yudian Zheng, Reynold Cheng, Yizhou Sun, Nikos Mamoulis, Xiang Li
2016 A conf
On Transductive Classification in Heterogeneous Information Networks.
CIKM
Xiang Li, Ben Kao, Yudian Zheng, Zhipeng Huang
2016 J jnl
T-DesP: Destination Prediction Based on Big Trajectory Data.
IEEE Trans. Intell. Transp. Syst.
Xiang Li, Mengting Li, Yue-Jiao Gong, Xinglin Zhang, Jian Yin
2016 J jnl
TORD Problem and Its Solution Based on Big Trajectories Data.
IEEE Trans. Intell. Transp. Syst.
Mengting Li, Xiang Li, Jian Yin
2015 A conf
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.
CIKM
Chang Wan, Xiang Li, Ben Kao, Xiao Yu, Quanquan Gu, David Wai-Lok Cheung, Jiawei Han
2013 A* conf
Cleaning uncertain data for top-k queries.
ICDE
Luyi Mo, Reynold Cheng, Xiang Li, David W. Cheung, Xuan S. Yang
2013 — conf
Effective Method for Promoting Viral Marketing in Microblog.
SocialCom
Xiang Li, Shaoyin Cheng, Wenlong Chen, Fan Jiang
2013 B conf
Novel user influence measurement based on user interaction in microblog.
ASONAM
Xiang Li, Shaoyin Cheng, Wenlong Chen, Fan Jiang
2013 — conf
Predicting Users' Age Range in Micro-blog Network.
WISE (1)
Chengyu Wang, Bing Xiao, Xiang Li, Jiawen Zhu, Xiaofeng He, Rong Zhang
2012 — conf
AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks.
CGC
Guangyu Yin, Fan Jiang, Shaoyin Cheng, Xiang Li, Xing He
2011 J jnl
On Link-based Similarity Join.
Proc. VLDB Endow.
Liwen Sun, Reynold Cheng, Xiang Li, David W. Cheung, Jiawei Han
2010 J jnl
Explore or Exploit? Effective Strategies for Disambiguating Large Databases.
Proc. VLDB Endow.
Reynold Cheng, Eric Lo, Xuan S. Yang, Ming-Hay Luk, Xiang Li, Xike Xie