Explore or Exploit? Effective Strategies for Disambiguating Large Databases. - Reynold Cheng; Eric Lo 001; Xuan S. Yang; Ming-Hay Luk; Xiang Li 067; Xike Xie (Proc. VLDB Endow., 2010)

On Link-based Similarity Join. - Liwen Sun; Reynold Cheng; Xiang Li 067; David W. Cheung; Jiawei Han 001 (Proc. VLDB Endow., 2011)

AUTrust: A Practical Trust Measurement for Adjacent Users in Social Networks. - Guangyu Yin; Fan Jiang 005; Shaoyin Cheng; Xiang Li 067; Xing He (CGC, 2012)

Novel user influence measurement based on user interaction in microblog. - Xiang Li 067; Shaoyin Cheng; Wenlong Chen; Fan Jiang 005 (ASONAM, 2013)

Cleaning uncertain data for top-k queries. - Luyi Mo; Reynold Cheng; Xiang Li 067; David W. Cheung; Xuan S. Yang (ICDE, 2013)

Effective Method for Promoting Viral Marketing in Microblog. - Xiang Li 067; Shaoyin Cheng; Wenlong Chen; Fan Jiang 005 (SocialCom, 2013)

Predicting Users' Age Range in Micro-blog Network. - Chengyu Wang 001; Bing Xiao; Xiang Li 067; Jiawen Zhu; Xiaofeng He; Rong Zhang 002 (WISE (1), 2013)

Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. - Chang Wan; Xiang Li 067; Ben Kao; Xiao Yu 007; Quanquan Gu; David Wai-Lok Cheung; Jiawei Han 001 (CIKM, 2015)

On Transductive Classification in Heterogeneous Information Networks. - Xiang Li 067; Ben Kao; Yudian Zheng; Zhipeng Huang 001 (CIKM, 2016)

Meta Structure: Computing Relevance in Large Heterogeneous Information Networks. - Zhipeng Huang 001; Yudian Zheng; Reynold Cheng; Yizhou Sun; Nikos Mamoulis; Xiang Li 067 (KDD, 2016)

T-DesP: Destination Prediction Based on Big Trajectory Data. - Xiang Li 067; Mengting Li; Yue-Jiao Gong; Xinglin Zhang; Jian Yin 001 (IEEE Trans. Intell. Transp. Syst., 2016)

TORD Problem and Its Solution Based on Big Trajectories Data. - Mengting Li; Xiang Li 067; Jian Yin 001 (IEEE Trans. Intell. Transp. Syst., 2016)

Semi-supervised Clustering in Attributed Heterogeneous Information Networks. - Xiang Li 067; Yao Wu; Martin Ester; Ben Kao; Xin Wang 019; Yudian Zheng (WWW, 2017)

ROSC: Robust Spectral Clustering on Multi-scale Data. - Xiang Li 067; Ben Kao; Siqiang Luo; Martin Ester (WWW, 2018)

Spectral Clustering in Heterogeneous Information Networks. - Xiang Li 067; Ben Kao; Zhaochun Ren; Dawei Yin (AAAI, 2019)

A General Early-Stopping Module for Crowdsourced Ranking. - Caihua Shan; Leong Hou U; Nikos Mamoulis; Reynold Cheng; Xiang Li 067 (DASFAA (2), 2020)

An End-to-End Deep RL Framework for Task Arrangement in Crowdsourcing Platforms. - Caihua Shan; Nikos Mamoulis; Reynold Cheng; Guoliang Li 001; Xiang Li 067; Yuqiu Qian (ICDE, 2020)

CAST: A Correlation-based Adaptive Spectral Clustering Algorithm on Multi-scale Data. - Xiang Li 067; Ben Kao; Caihua Shan; Dawei Yin; Martin Ester (KDD, 2020)

Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding. - Yu Zheng 010; Chen Gao 001; Xiang Li 067; Xiangnan He 001; Yong Li 008; Depeng Jin (CoRR, 2020)

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation. - Zhiyong Wu 003; Lingpeng Kong; Wei Bi; Xiang Li 067; Ben Kao (ACL/IJCNLP (1), 2021)

SceneRec: Scene-Based Graph Neural Networks for Recommender Systems. - Gang Wang; Ziyi Guo; Xiang Li 067; Dawei Yin; Shuai Ma 001 (EDBT, 2021)

Leveraging Meta-path Contexts for Classification in Heterogeneous Information Networks. - Xiang Li 067; Danhao Ding; Ben Kao; Yizhou Sun; Nikos Mamoulis (ICDE, 2021)

Reinforcement Learning Enhanced Explainer for Graph Neural Networks. - Caihua Shan; Yifei Shen; Yao Zhang 009; Xiang Li 067; Dongsheng Li 002 (NeurIPS, 2021)

Disentangling User Interest and Conformity for Recommendation with Causal Embedding. - Yu Zheng 010; Chen Gao 001; Xiang Li 067; Xiangnan He 001; Yong Li 008; Depeng Jin (WWW, 2021)

Structure-enhanced meta-learning for few-shot graph classification. - Shunyu Jiang; Fuli Feng; Weijian Chen 001; Xiang Li 067; Xiangnan He 001 (AI Open, 2021)

Lexical Knowledge Internalization for Neural Dialog Generation. - Zhiyong Wu 003; Wei Bi; Xiang Li 067; Lingpeng Kong; Ben Kao (ACL (1), 2022)

A Neural Network Architecture for Program Understanding Inspired by Human Behaviors. - Renyu Zhu; Lei Yuan; Xiang Li 067; Ming Gao 001; Wenyuan Cai (ACL (1), 2022)

CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. - Nuo Chen 002; Qiushi Sun; Renyu Zhu; Xiang Li 067; Xuesong Lu; Ming Gao 001 (EMNLP (Findings), 2022)

Knowledge Prompting in Pre-trained Language Model for Natural Language Understanding. - Jianing Wang 002; Wenkang Huang; Minghui Qiu; Qiuhui Shi; Hongbin Wang; Xiang Li 067; Ming Gao 001 (EMNLP, 2022)

An End-to-End Chinese Text Normalization Model Based on Rule-Guided Flat-Lattice Transformer. - Wenlin Dai; Changhe Song; Xiang Li 067; Zhiyong Wu 001; Huashan Pan; Xiulin Li; Helen Meng (ICASSP, 2022)

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily. - Xiang Li 067; Renyu Zhu; Yao Cheng; Caihua Shan; Siqiang Luo; Dongsheng Li 002; Weining Qian (ICML, 2022)

RAW-GNN: RAndom Walk Aggregation based Graph Neural Network. - Di Jin 001; Rui Wang 102; Meng Ge; Dongxiao He; Xiang Li 067; Wei Lin 022; Weixiong Zhang (IJCAI, 2022)

CGMN: A Contrastive Graph Matching Network for Self-Supervised Graph Similarity Learning. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Xiang Li 067; Fei Jiang 009; Wei Lin 022; Shirui Pan (IJCAI, 2022)

A Comprehensive Benchmark of Deep Learning Libraries on Mobile Devices. - Qiyang Zhang; Xiang Li 067; Xiangying Che; Xiao Ma 009; Ao Zhou 001; Mengwei Xu; Shangguang Wang; Yun Ma 002; Xuanzhe Liu (WWW, 2022)

SoC-Cluster as an Edge Server: an Application-driven Measurement Study. - Li Zhang 133; Zhe Fu; Boqing Shi; Xiang Li 067; Rujin Lai; Chenyang Chen; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (CoRR, 2022)

SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (Proc. VLDB Endow., 2022)

SCHAIN-IRAM: An Efficient and Effective Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. - Xiang Li 067; Yao Wu; Martin Ester; Ben Kao; Xin Wang 019; Yudian Zheng (IEEE Trans. Knowl. Data Eng., 2022)

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. - Chengcheng Han 004; Liqing Cui; Renyu Zhu; Jianing Wang 002; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (Findings), 2023)

MUSE: Multi-view Contrastive Learning for Heterophilic Graphs via Information Reconstruction. - Mengyi Yuan; Minjie Chen; Xiang Li 067 (CIKM, 2023)

GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting. - Kangyang Luo; Xiang Li 067; Yunshi Lan; Ming Gao 001 (CVPR, 2023)

Meta-learning Siamese Network for Few-Shot Text Classification. - Chengcheng Han 004; Yuhe Wang; Yingnan Fu; Xiang Li 067; Minghui Qiu; Ming Gao 001; Aoying Zhou (DASFAA (3), 2023)

Decentralized Local Updates with Dual-Slow Estimation and Momentum-Based Variance-Reduction for Non-Convex Optimization. - Kangyang Luo; Kunkun Zhang; Shengbo Zhang; Xiang Li 067; Ming Gao 001 (ECAI, 2023)

DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models. - Chengcheng Han 004; Xiaowei Du; Che Zhang; Yixin Lian; Xiang Li 067; Ming Gao 001; Baoyuan Wang (EMNLP, 2023)

Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Ming Gao 001; Xiaoli Li 001; Xiang Li 067 (EMNLP (Findings), 2023)

Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. - Nuo Chen 002; Qiushi Sun; Jianing Wang 002; Xiang Li 067; Ming Gao 001 (EMNLP (Findings), 2023)

Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Chengyu Wang 001; Jun Huang 007; Ming Gao 001; Xiang Li 067 (EMNLP (Findings), 2023)

Context-Aware Session-Based Recommendation with Graph Neural Networks. - Zhihui Zhang; Jianxiang Yu 001; Xiang Li 067 (ICKG, 2023)

Graph Self-Contrast Representation Learning. - Minjie Chen; Yao Cheng; Ye Wang; Xiang Li 067; Ming Gao 001 (ICDM, 2023)

DropMix: Better Graph Contrastive Learning with Harder Negative Samples. - Yueqi Ma; Minjie Chen; Xiang Li 067 (ICDM (Workshops), 2023)

Explaining Temporal Graph Models through an Explorer-Navigator Framework. - Wenwen Xia; Mincai Lai; Caihua Shan; Yao Zhang 009; Xinnan Dai; Xiang Li 067; Dongsheng Li 002 (ICLR, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 022; Zhulin An; Yongjun Xu 001 (KDD, 2023)

Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts. - Yunshi Lan; Xiang Li 067; Xin Liu 086; Yang Li 218; Wei Qin; Weining Qian (ACM Multimedia, 2023)

LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings. - Ningyi Liao; Siqiang Luo; Xiang Li 067; Jieming Shi 001 (NeurIPS, 2023)

DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning. - Kangyang Luo; Shuai Wang; Yexuan Fu; Xiang Li 067; Yunshi Lan; Ming Gao 001 (NeurIPS, 2023)

Towards Robust Chinese Spelling Check Systems: Multi-round Error Correction with Ensemble Enhancement. - Xiang Li 067; Hanyue Du; Yike Zhao; Yunshi Lan (NLPCC (3), 2023)

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. - Bin Yin; Junjie Xie; Yu Qin; Zixiang Ding; Zhichao Feng; Xiang Li 067; Wei Lin 022 (RecSys, 2023)

Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Weighted Negative Samples. - Jianxiang Yu 001; Xiang Li 067 (SDM, 2023)

Interactive Recommendation System for Meituan Waimai. - Chen Ji; Yacheng Li; Rui Li 044; Fei Jiang 009; Xiang Li 067; Wei Lin 022; Chenglong Zhang; Wei Wang 468; Shuyang Wang (SIGIR, 2023)

CEC: Towards Learning Global Optimized Recommendation through Causality Enhanced Conversion Model. - Ran Le; Guoqing Jiang; Xiufeng Shu; Ruidong Han; Qianzhong Li; Yacheng Li; Xiang Li 067; Wei Lin 022 (SIGIR, 2023)

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Guojie Song; Fei Jiang 009; Xiang Li 067; Wei Lin 022; Shirui Pan (WWW, 2023)

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (WWW, 2023)

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking. - Xiang Li 067; Tiandi Ye; Caihua Shan; Dongsheng Li 002; Ming Gao 001 (CoRR, 2023)

Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Wei Wu (CoRR, 2023)

MuxFlow: Efficient and Safe GPU Sharing in Large-Scale Production Deep Learning Clusters. - Yihao Zhao; Xin Liu 086; Shufan Liu; Xiang Li 067; Yibo Zhu; Gang Huang 001; Xuanzhe Liu; Xin Jin 008 (CoRR, 2023)

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation. - Di Jin 001; Luzhi Wang; Yizhen Zheng; Guojie Song; Fei Jiang 009; Xiang Li 067; Wei Lin 016; Shirui Pan (CoRR, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 016; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Nuo Chen 002; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

You Can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (CoRR, 2023)

MUSE: Multi-View Contrastive Learning for Heterophilic Graphs. - Mengyi Yuan; Minjie Chen; Xiang Li 067 (CoRR, 2023)

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. - Bin Yin; Junjie Xie; Yu Qin; Zixiang Ding; Zhichao Feng; Xiang Li 067; Wei Lin 016 (CoRR, 2023)

Federated Fine-tuning of Billion-Sized Language Models across Mobile Devices. - Mengwei Xu; Yaozong Wu; Dongqi Cai 001; Xiang Li 067; Shangguang Wang (CoRR, 2023)

Rethinking Mobile AI Ecosystem in the LLM Era. - Jinliang Yuan; Chen Yang; Dongqi Cai 001; Shihe Wang; Xin Yuan; Zeling Zhang; Xiang Li 067; Dingge Zhang; Hanzi Mei; Xianqing Jia; Shangguang Wang; Mengwei Xu (CoRR, 2023)

Exchanging-based Multimodal Fusion with Transformer. - Renyu Zhu; Chengcheng Han 004; Yong Qian; Qiushi Sun; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (CoRR, 2023)

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration. - Qiushi Sun; Zhangyue Yin; Xiang Li 067; Zhiyong Wu 003; Xipeng Qiu; Lingpeng Kong (CoRR, 2023)

Empower Text-Attributed Graphs Learning with Large Language Models (LLMs). - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (CoRR, 2023)

Prompt Tuning for Multi-View Graph Contrastive Learning. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Cheng Yao; Jiaqi Tan 006; Chengcheng Yu; Dawei Yin (CoRR, 2023)

Label Propagation for Graph Label Noise. - Yao Cheng; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (CoRR, 2023)

Enhancing Graph Neural Networks with Structure-Based Prompt. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (CoRR, 2023)

Resist Label Noise with PGM for Graph Neural Networks. - Qingqing Ge; Jianxiang Yu 001; Zeyuan Zhao; Xiang Li 067 (CoRR, 2023)

Prioritized Propagation in Graph Neural Networks. - Yao Cheng; Minjie Chen; Xiang Li 067; Caihua Shan; Ming Gao 001 (CoRR, 2023)

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

Self-supervised Heterogeneous Graph Variational Autoencoders. - Yige Zhao; Jianxiang Yu 001; Yao Cheng; Chengcheng Yu; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (CoRR, 2023)

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. - Jianing Wang 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (ACL (1), 2024)

Enhancing CTR Prediction through Sequential Recommendation Pre-training: Introducing the SRP4CTR framework. - Ruidong Han; Qianzhong Li; He Jiang; Rui Li 044; Yurou Zhao; Xiang Li 067; Wei Lin 022 (CIKM, 2024)

GraphCBAL: Class-Balanced Active Learning for Graph Neural Networks via Reinforcement Learning. - Chengcheng Yu; Jiapeng Zhu 002; Xiang Li 067 (CIKM, 2024)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Weizhi Ma; Jiaxin Mao (CIKM, 2024)

Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition. - Chengcheng Han 004; Renyu Zhu; Jun Kuang; Fengjiao Chen; Xiang Li 067; Ming Gao 001; Xuezhi Cao; Yunsen Xian (LREC/COLING, 2024)

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. - Xiang Li 067; Zhenyu Li; Chen Shi; Yong Xu; Qing Du; Mingkui Tan; Jun Huang 007 (LREC/COLING, 2024)

Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. - Qiushi Sun; Chengcheng Han 004; Nuo Chen 002; Renyu Zhu; Jingyang Gong; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. - Qiushi Sun; Nuo Chen 002; Jianing Wang 002; Ming Gao 001; Xiang Li 067 (LREC/COLING, 2024)

Structure-aware Fine-tuning for Code Pre-trained Models. - Jiayi Wu 001; Renyu Zhu; Nuo Chen 002; Qiushi Sun; Xiang Li 067; Ming Gao 001 (LREC/COLING, 2024)

Variational Kernel Density Estimation Recommendation Algorithm for Users with Diverse Activity Levels. - Wei Liu 061; Shangsong Liang; Huaijie Zhu; Leong Hou U; Jianxing Yu; Xiang Li 067; Jian Yin 001 (DASFAA (2), 2024)

Large Language Models on Mobile Devices: Measurements, Analysis, and Insights. - Xiang Li 067; Zhenyan Lu; Dongqi Cai 001; Xiao Ma 009; Mengwei Xu (EdgeFM@MobiSys, 2024)

Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. - Jianxiang Yu 001; Zichen Ding 002; Jiaqi Tan 006; Kangyang Luo; Zhenmin Weng; Chenghua Gong; Long Zeng 004; Renjing Cui; Chengcheng Han 004; Qiushi Sun; Zhiyong Wu 003; Yunshi Lan; et al. (EMNLP (Findings), 2024)

Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence. - Shu Zheng; Tiandi Ye; Xiang Li 067; Ming Gao 001 (ICASSP, 2024)

DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning. - Kangyang Luo; Shuai Wang; Yexuan Fu; Renrong Shao; Xiang Li 067; Yunshi Lan; Ming Gao 001; Jinlong Shu (ICDM, 2024)

Training-free Multi-objective Diffusion Model for 3D Molecule Generation. - Xu Han; Caihua Shan; Yifei Shen; Can Xu; Han Yang; Xiang Li 067; Dongsheng Li 002 (ICLR, 2024)

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise. - Yao Cheng; Caihua Shan; Yifei Shen; Xiang Li 067; Siqiang Luo; Dongsheng Li 002 (KDD, 2024)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. - Yuting Zhang; Yiqing Wu; Ruidong Han; Ying Sun 006; Yongchun Zhu; Xiang Li 067; Wei Lin 022; Fuzhen Zhuang; Zhulin An; Yongjun Xu 001 (KDD, 2024)

Mobile Foundation Model as Firmware. - Jinliang Yuan; Chen Yang; Dongqi Cai 001; Shihe Wang; Xin Yuan; Zeling Zhang; Xiang Li 067; Dingge Zhang; Hanzi Mei; Xianqing Jia; Shangguang Wang; Mengwei Xu (MobiCom, 2024)

Cross-model Control: Improving Multiple Large Language Models in One-time Training. - Jiayi Wu 001; Hao Sun 015; Hengyi Cai; Lixin Su; Shuaiqiang Wang; Dawei Yin; Xiang Li 067; Ming Gao 001 (NeurIPS, 2024)

MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. - Ziheng Jiang; Haibin Lin; Yinmin Zhong; Qi Huang; Yangrui Chen; Zhi Zhang; Yanghua Peng; Xiang Li 067; Cong Xie; Shibiao Nong; Yulu Jia; Sun He; et al. (NSDI, 2024)

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. - Qingqing Ge; Zeyuan Zhao; Yiding Liu; Anfeng Cheng; Xiang Li 067; Shuaiqiang Wang; Dawei Yin (ECML/PKDD (5), 2024)

Self-pro: A Self-prompt and Tuning Framework for Graph Neural Networks. - Chenghua Gong; Xiang Li 067; Jianxiang Yu 001; Yao Cheng; Jiaqi Tan 006; Chengcheng Yu (ECML/PKDD (2), 2024)

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. - Zeyuan Zhao; Qingqing Ge; Anfeng Cheng; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (ECML/PKDD (6), 2024)

LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding. - Zhizhong Wan; Bin Yin; Junjie Xie; Fei Jiang 009; Xiang Li 067; Wei Lin 022 (RecSys, 2024)

UPFL: Unsupervised Personalized Federated Learning towards New Clients. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (SDM, 2024)

FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences. - Mengwei Xu; Dongqi Cai 001; Yaozong Wu; Xiang Li 067; Shangguang Wang (USENIX ATC, 2024)

More is Different: Prototyping and Analyzing a New Form of Edge Server with Massive Mobile SoCs. - Li Zhang 133; Zhe Fu; Boqing Shi; Xiang Li 067; Rujin Lai; Chenyang Yang 004; Ao Zhou 001; Xiao Ma 009; Shangguang Wang; Mengwei Xu (USENIX ATC, 2024)

Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai. - Zhichao Feng; Junjie Xie; Kaiyuan Li; Yu Qin; Pengfei Wang 009; Qianzhong Li; Bin Yin; Xiang Li 067; Wei Lin 022; Shangguang Wang (WWW (Companion Volume), 2024)

MuxFlow: efficient GPU sharing in production-level clusters with more than 10000 GPUs. - Xuanzhe Liu; Yihao Zhao; Shufan Liu; Xiang Li 067; Yibo Zhu; Xin Liu 086; Xin Jin 008 (Sci. China Inf. Sci., 2024)

Towards Learning from Graphs with Heterophily: Progress and Future. - Chenghua Gong; Yao Cheng; Jianxiang Yu 001; Can Xu; Caihua Shan; Siqiang Luo; Xiang Li 067 (CoRR, 2024)

Class-Balanced and Reinforced Active Learning on Graphs. - Chengcheng Yu; Jiapeng Zhu 002; Xiang Li 067 (CoRR, 2024)

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning. - Xiang Li 067; Yunshi Lan; Chao Yang (CoRR, 2024)

Don't Half-listen: Capturing Key-part Information in Continual Instruction Tuning. - Yongquan He; Xuancheng Huang; Minghao Tang; Lingxun Meng; Xiang Li 067; Wei Lin 022; Wenyuan Zhang 002; Yifu Gao (CoRR, 2024)

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework. - Xiang Li 067; Zhenyu Li; Chen Shi; Yong Xu; Qing Du; Mingkui Tan; Jun Huang 007; Wei Lin 016 (CoRR, 2024)

A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond. - Qiushi Sun; Zhirui Chen; Fangzhi Xu; Kanzhi Cheng; Chang Ma; Zhangyue Yin; Jianing Wang 002; Chengcheng Han 004; Renyu Zhu; Shuai Yuan 018; Qipeng Guo; Xipeng Qiu; et al. (CoRR, 2024)

Improving Graph Out-of-distribution Generalization on Real-world Data. - Can Xu; Yao Cheng; Jianxiang Yu 001; Haosen Wang; Jingsong Lv; Xiang Li 067 (CoRR, 2024)

Aligning Explanations for Recommendation with Rating and Feature via Maximizing Mutual Information. - Yurou Zhao; Yiding Sun; Ruidong Han; Fei Jiang 009; Lu Guan; Xiang Li 067; Wei Lin 022; Jiaxin Mao (CoRR, 2024)

Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation. - Xiufeng Shu; Ruidong Han; Xiang Li 067; Wei Lin 016 (CoRR, 2024)

Boosting Graph Foundation Model from Structural Perspective. - Yao Cheng; Yige Zhao; Jianxiang Yu 001; Xiang Li 067 (CoRR, 2024)

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator. - Kangyang Luo; Shuai Wang; Xiang Li 067; Yunshi Lan; Ming Gao 001; Jinlong Shu (CoRR, 2024)

Small Language Models: Survey, Measurements, and Insights. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (CoRR, 2024)

Can Large Language Models Act as Ensembler for Multi-GNNs? - Hanqi Duan; Yao Cheng; Jianxiang Yu 001; Xiang Li 067 (CoRR, 2024)

PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training. - Rongjie Yi; Xiang Li 067; Weikai Xie; Zhenyan Lu; Chenghua Wang; Ao Zhou 001; Shangguang Wang; Xiwen Zhang; Mengwei Xu (CoRR, 2024)

SEAGraph: Unveiling the Whole Story of Paper Review Comments. - Jianxiang Yu 001; Jiaqi Tan 006; Zichen Ding 002; Jiapeng Zhu 002; Jiahao Li; Yao Cheng; Qier Cui; Yunshi Lan; Xiang Li 067 (CoRR, 2024)

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph. - Yibo Zhao 005; Jiapeng Zhu 002; Can Xu; Xiang Li 067 (CoRR, 2024)

Predicting stock market trends with self-supervised learning. - Zelin Ying; Dawei Cheng; Cen Chen 001; Xiang Li 067; Peng Zhu; Yifeng Luo; Yuqi Liang (Neurocomputing, 2024)

SMEC: Scene Mining for E-Commerce. - Gang Wang; Xiang Li 067; Ziyi Guo; Dawei Yin; Shuai Ma 001 (J. Comput. Sci. Technol., 2024)

Scalable decoupling graph neural network with feature-oriented optimization. - Ningyi Liao; Dingheng Mo; Siqiang Luo; Xiang Li 067; Pengcheng Yin (VLDB J., 2024)

BapFL: You can Backdoor Personalized Federated Learning. - Tiandi Ye; Cen Chen 001; Yinggui Wang; Xiang Li 067; Ming Gao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Heterogeneous Graph Contrastive Learning With Meta-Path Contexts and Adaptively Weighted Negative Samples. - Jianxiang Yu 001; Qingqing Ge; Xiang Li 067; Aoying Zhou (IEEE Trans. Knowl. Data Eng., 2024)

Leveraging Large Language Models for Node Generation in Few-Shot Learning on Text-Attributed Graphs. - Jianxiang Yu 001; Yuxiang Ren; Chenghua Gong; Jiaqi Tan 006; Xiang Li 067; Xuecang Zhang (AAAI, 2025)

Enhancing LLM-based Hatred and Toxicity Detection with Meta-Toxic Knowledge Graph. - Yibo Zhao 005; Jiapeng Zhu 002; Can Xu; Yao Liu; Xiang Li 067 (ACL (Findings), 2025)

Demystifying Small Language Models for Edge Deployment. - Zhenyan Lu; Xiang Li 067; Dongqi Cai 001; Rongjie Yi; Fangming Liu; Wei Liu 061; Jian Luan 001; Xiwen Zhang; Nicholas D. Lane; Mengwei Xu (ACL (1), 2025)

Let's Be Self-generated via Step by Step: A Curriculum Learning Approach to Automated Reasoning with Large Language Models. - Kangyang Luo; Zichen Ding 002; Zhenmin Weng; Lingfeng Qiao; Meng Zhao; Xiang Li 067; Di Yin; Jinlong Shu (ACL (Findings), 2025)

Multi-level Relevance Document Identifier Learning for Generative Retrieval. - Fuwei Zhang; Xiaoyu Liu; Xinyu Jia; Yingfei Zhang; Shuai Zhang; Xiang Li 067; Fuzhen Zhuang; Wei Lin; Zhao Zhang 011 (ACL (1), 2025)

Initializing and Retrofitting Key-Value Adaptors for Traceable Model Editing. - Hanlun Zhu; Yunshi Lan; Xiang Li 067; Weining Qian (ACL (Findings), 2025)

LogiGraph: Logical Reasoning with Contrastive Learning and Lightweight Graph Networks. - Xiang Li 067; Chen Shi; Yong Xu; Jun Huang 007 (COLING, 2025)

Learning Prioritized Node-Wise Message Propagation in Graph Neural Networks (Extended Abstract). - Yao Cheng; Minjie Chen; Caihua Shan; Xiang Li 067 (ICDE, 2025)

Having It Both Ways: Single Trajectory Embedding for Similarity Computation with Pairwise Learning. - Jianing Si; Haitao Yuan 002; Xiang Li 067; Nan Jiang; Xiao Ma 009; Guoliang Li 001; Shangguang Wang (ICDE, 2025)

RELIEF: Reinforcement Learning Empowered Graph Feature Prompt Tuning. - Jiapeng Zhu 002; Zichen Ding 002; Jianxiang Yu 001; Jiaqi Tan 006; Xiang Li 067; Weining Qian (KDD (1), 2025)

Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. - Yige Zhao; Jianxiang Yu 001; Yao Cheng; Chengcheng Yu; Yiding Liu; Xiang Li 067; Shuaiqiang Wang (KDD (1), 2025)

PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. - Jiayi Wu 001; Hengyi Cai; Lingyong Yan; Hao Sun 015; Xiang Li 067; Shuaiqiang Wang; Dawei Yin; Ming Gao 001 (NAACL (Long Papers), 2025)

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection. - Long Zeng 004; Jianxiang Yu 001; Jiapeng Zhu 002; Qingsong Zhong; Xiang Li 067 (WWW, 2025)

Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving. - Yao Cheng; Yibo Zhao 005; Jiapeng Zhu 002; Yao Liu; Xing Sun; Xiang Li 067 (CoRR, 2025)

MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. - Chao Jin; Ziheng Jiang; Zhihao Bai; Zheng Zhong; Juncai Liu; Xiang Li 067; Ningxin Zheng; Xi Wang; Cong Xie; Qi Huang; Wen Heng; Yiyuan Ma; et al. (CoRR, 2025)

Relation-Aware Graph Foundation Model. - Jianxiang Yu 001; Jiapeng Zhu 002; Hao Qian; Ziqi Liu; Zhiqiang Zhang; Xiang Li 067 (CoRR, 2025)

MTGR: Industrial-Scale Generative Recommendation Framework in Meituan. - Ruidong Han; Bin Yin; Shangyu Chen; He Jiang; Fei Jiang 009; Xiang Li 067; Chi Ma; Mincong Huang; Xiaoguang Li; Chunzhen Jing; Yueming Han; Menglei Zhou; et al. (CoRR, 2025)

ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows. - Qiushi Sun; Zhoumianze Liu; Chang Ma; Zichen Ding 002; Fangzhi Xu; Zhangyue Yin; Haiteng Zhao; Zhenyu Wu; Kanzhi Cheng; Zhaoyang Liu 001; Jianing Wang 002; Qintong Li; et al. (CoRR, 2025)

Breaking the Cloak! Unveiling Chinese Cloaked Toxicity with Homophone Graph and Toxic Lexicon. - Xuchen Ma; Jianxiang Yu 001; Wenming Shao; Bo Pang; Xiang Li 067 (CoRR, 2025)

E2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness. - Yibo Zhao 005; Jiapeng Zhu 002; Ye Guo; Kangkang He; Xiang Li 067 (CoRR, 2025)

Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization. - Jing Yu; Yibo Zhao 005; Jiapeng Zhu 002; Wenming Shao; Bo Pang; Zhao Zhang 011; Xiang Li 067 (CoRR, 2025)

Accelerating brain T2-weighted imaging using artificial intelligence-assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI. - Yun Wen; Huan Ma; Shaoxin Xiang; Zhichao Feng; Chuanjiang Guan; Xiang Li 067 (BMC Medical Imaging, 2025)