Extracting Relation Descriptors with Conditional Random Fields. - Yaliang Li; Jing Jiang 001; Hai Leong Chieu; Kian Ming Adam Chai (IJCNLP, 2011)

Query-Oriented Keyphrase Extraction. - Minghui Qiu; Yaliang Li; Jing Jiang 001 (AIRS, 2012)

Ensemble Learning. - Yaliang Li; Jing Gao 004; Qi Li 012; Wei Fan 001 (Data Classification: Algorithms and Applications, 2014)

Crowdsourcing for Multiple-Choice Question Answering. - Bahadir Ismail Aydin; Yavuz Selim Yilmaz; Yaliang Li; Qi Li 012; Jing Gao 004; Murat Demirbas (AAAI, 2014)

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. - Qi Li 012; Yaliang Li; Jing Gao 004; Bo Zhao 001; Wei Fan 001; Jiawei Han 001 (SIGMOD Conference, 2014)

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. - Qi Li 012; Yaliang Li; Jing Gao 004; Lu Su 001; Bo Zhao 001; Murat Demirbas; Wei Fan 001; Jiawei Han 001 (Proc. VLDB Endow., 2014)

On the Discovery of Evolving Truth. - Yaliang Li; Qi Li 012; Jing Gao 004; Lu Su 001; Bo Zhao 001; Wei Fan 001; Jiawei Han 001 (KDD, 2015)

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. - Fenglong Ma; Yaliang Li; Qi Li 012; Minghui Qiu; Jing Gao 004; Shi Zhi; Lu Su 001; Bo Zhao 001; Heng Ji 001; Jiawei Han 001 (KDD, 2015)

Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. - Houping Xiao; Yaliang Li; Jing Gao 004; Fei Wang; Liang Ge; Wei Fan 001; Long H. Vu; Deepak S. Turaga (SDM, 2015)

Truth Discovery on Crowd Sensing of Correlated Entities. - Chuishi Meng; Wenjun Jiang; Yaliang Li; Jing Gao 004; Lu Su 001; Hu Ding; Yun Cheng (SenSys, 2015)

Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. - Chenglin Miao; Wenjun Jiang; Lu Su 001; Yaliang Li; Suxin Guo; Zhan Qin; Houping Xiao; Jing Gao 004; Kui Ren 001 (SenSys, 2015)

A Survey on Truth Discovery. - Yaliang Li; Jing Gao 004; Chuishi Meng; Qi Li 012; Lu Su 001; Bo Zhao 001; Wei Fan 001; Jiawei Han 001 (SIGKDD Explor., 2015)

Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. - Sheng Li 001; Yaliang Li; Yun Fu 001 (CIKM, 2016)

Influence-Aware Truth Discovery. - Hengtong Zhang; Qi Li 012; Fenglong Ma; Houping Xiao; Yaliang Li; Jing Gao 004; Lu Su 001 (CIKM, 2016)

Multi-source Hierarchical Prediction Consolidation. - Chenwei Zhang; Sihong Xie; Yaliang Li; Jing Gao 004; Wei Fan 001; Philip S. Yu (CIKM, 2016)

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. - Chaochun Liu; Huan Sun 001; Nan Du 001; Shulong Tan; Hongliang Fei; Wei Fan 001; Tao Yang 012; Hao Wu; Yaliang Li; Chenwei Zhang (ICDM, 2016)

Topic Discovery for Short Texts Using Word Embeddings. - Guangxu Xun; Vishrawas Gopalakrishnan; Fenglong Ma; Yaliang Li; Jing Gao 004; Aidong Zhang (ICDM, 2016)

Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. - Yaliang Li; Qi Li 012; Jing Gao 004; Lu Su 001; Bo Zhao 001; Wei Fan 001; Jiawei Han 001 (IEEE Trans. Knowl. Data Eng., 2016)

Bringing semantic structures to user intent detection in online medical queries. - Chenwei Zhang; Nan Du 001; Wei Fan 001; Yaliang Li; Chun-Ta Lu; Philip S. Yu (IEEE BigData, 2017)

Generating Medical Hypotheses Based on Evolutionary Medical Concepts. - Guangxu Xun; Kishlay Jha; Vishrawas Gopalakrishnan; Yaliang Li; Aidong Zhang (ICDM, 2017)

A Correlated Topic Model Using Word Embeddings. - Guangxu Xun; Yaliang Li; Wayne Xin Zhao; Jing Gao 004; Aidong Zhang (IJCAI, 2017)

A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems. - Chenglin Miao; Lu Su 001; Wenjun Jiang; Yaliang Li; Miaomiao Tian 001 (INFOCOM, 2017)

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. - Guangxu Xun; Yaliang Li; Jing Gao 004; Aidong Zhang (KDD, 2017)

Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. - Yaliang Li; Nan Du 001; Chaochun Liu; Yusheng Xie; Wei Fan 001; Qi Li 012; Jing Gao 004; Huan Sun 001 (WSDM, 2017)

A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks. - Yaliang Li; Jing Gao 004; Patrick P. C. Lee; Lu Su 001; Caifeng He; Cheng He; Fan Yang; Wei Fan 001 (IEEE Trans. Mob. Comput., 2017)

Leveraging the Power of Informative Users for Local Event Detection. - Hengtong Zhang; Fenglong Ma; Yaliang Li; Chao Zhang 014; Tianqi Wang; Yaqing Wang 001; Jing Gao 004; Lu Su 001 (ASONAM, 2018)

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. - Ying Shen 001; Kaiqi Yuan; Yaliang Li; Buzhou Tang; Min Yang 007; Nan Du 001; Kai Lei (BIBM, 2018)

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. - Yang Deng 002; Ying Shen 001; Min Yang 007; Yaliang Li; Nan Du 001; Wei Fan 001; Kai Lei (COLING, 2018)

Cooperative Denoising for Distantly Supervised Relation Extraction. - Kai Lei; Daoyuan Chen; Yaliang Li; Nan Du 001; Min Yang 007; Wei Fan 001; Ying Shen 001 (COLING, 2018)

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. - Ying Shen 001; Yang Deng 002; Jin Zhang; Yaliang Li; Nan Du 001; Wei Fan 001; Min Yang 007; Kai Lei (ICDM Workshops, 2018)

Metric Learning from Probabilistic Labels. - Mengdi Huai; Chenglin Miao; Yaliang Li; Qiuling Suo; Lu Su 001; Aidong Zhang (KDD, 2018)

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. - Yaliang Li; Chenglin Miao; Lu Su 001; Jing Gao 004; Qi Li 012; Bolin Ding; Zhan Qin; Kui Ren 001 (KDD, 2018)

On the Generative Discovery of Structured Medical Knowledge. - Chenwei Zhang; Yaliang Li; Nan Du 001; Wei Fan 001; Philip S. Yu (KDD, 2018)

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. - Hengtong Zhang; Yaliang Li; Fenglong Ma; Jing Gao 004; Lu Su 001 (KDD, 2018)

Representation Learning for Treatment Effect Estimation from Observational Data. - Liuyi Yao; Sheng Li 001; Yaliang Li; Mengdi Huai; Jing Gao 004; Aidong Zhang (NeurIPS, 2018)

Uncorrelated Patient Similarity Learning. - Mengdi Huai; Chenglin Miao; Qiuling Suo; Yaliang Li; Jing Gao 004; Aidong Zhang (SDM, 2018)

Online Truth Discovery on Time Series Data. - Liuyi Yao; Lu Su 001; Qi Li 012; Yaliang Li; Fenglong Ma; Jing Gao 004; Aidong Zhang (SDM, 2018)

Ontology Evaluation with Path-based Text-aware Entropy Computation. - Ying Shen 001; Daoyuan Chen; Min Yang 007; Yaliang Li; Nan Du 001; Kai Lei (SIGIR, 2018)

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. - Ying Shen 001; Yang Deng 002; Min Yang 007; Yaliang Li; Nan Du 001; Wei Fan 001; Kai Lei (SIGIR, 2018)

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction. - Ying Shen 001; Yaliang Li; Yang Deng 002; Jin Zhang; Min Yang 007; Jinsong Chen; Shangchun Si; Kai Lei (IEEE Access, 2018)

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. - Ying Shen 001; Kaiqi Yuan; Daoyuan Chen; Joël Colloc; Min Yang 007; Yaliang Li; Kai Lei (Artif. Intell. Medicine, 2018)

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. - Yang Deng 002; Yaliang Li; Nan Du 001; Wei Fan 001; Ying Shen 001; Kai Lei (CoRR, 2018)

Finding Similar Medical Questions from Question Answering Websites. - Yaliang Li; Liuyi Yao; Nan Du 001; Jing Gao 004; Qi Li 012; Chuishi Meng; Chenwei Zhang; Wei Fan 001 (CoRR, 2018)

CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. - Ying Shen 001; Lizhu Zhang; Jin Zhang; Min Yang 007; Buzhou Tang; Yaliang Li; Kai Lei (J. Biomed. Informatics, 2018)

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. - Yang Deng 002; Yuexiang Xie; Yaliang Li; Min Yang 007; Nan Du 001; Wei Fan 001; Kai Lei; Ying Shen 001 (AAAI, 2019)

Multi-grained Named Entity Recognition. - Congying Xia; Chenwei Zhang; Tao Yang 012; Yaliang Li; Nan Du 001; Xian Wu 001; Wei Fan 001; Fenglong Ma; Philip S. Yu (ACL (1), 2019)

Joint Slot Filling and Intent Detection via Capsule Neural Networks. - Chenwei Zhang; Yaliang Li; Nan Du 001; Wei Fan 001; Philip S. Yu (ACL (1), 2019)

Knowledge-aware Textual Entailment with Graph Attention Network. - Daoyuan Chen; Yaliang Li; Min Yang 007; Hai-Tao Zheng 002; Ying Shen 001 (CIKM, 2019)

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. - Yang Deng 002; Yaliang Li; Ying Shen 001; Nan Du 001; Wei Fan 001; Min Yang 007; Kai Lei (CIKM, 2019)

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. - Liuyi Yao; Sheng Li 001; Yaliang Li; Mengdi Huai; Jing Gao 004; Aidong Zhang (ICDM, 2019)

On the Estimation of Treatment Effect with Text Covariates. - Liuyi Yao; Sheng Li 001; Yaliang Li; Hongfei Xue; Jing Gao 004; Aidong Zhang (IJCAI, 2019)

Data Poisoning Attack against Knowledge Graph Embedding. - Hengtong Zhang; Tianhang Zheng; Jing Gao 004; Chenglin Miao; Lu Su 001; Yaliang Li; Kui Ren 001 (IJCAI, 2019)

A Minimax Game for Instance based Selective Transfer Learning. - Bo Wang; Minghui Qiu; Xisen Wang; Yaliang Li; Yu Gong; Xiaoyi Zeng; Jun Huang 007; Bo Zheng 007; Deng Cai 001; Jingren Zhou 001 (KDD, 2019)

Deep Skip-Gram Networks for Text Classification. - Chaochun Liu; Yaliang Li; Hongliang Fei; Ping Li 001 (SDM, 2019)

Path-based Attribute-aware Representation Learning for Relation Prediction. - Ying Shen 001; Desi Wen; Yaliang Li; Nan Du 001; Haitao Zheng 002; Min Yang 007 (SDM, 2019)

DTEC: Distance Transformation Based Early Time Series Classification. - Liuyi Yao; Yaliang Li; Yezheng Li; Hengtong Zhang; Mengdi Huai; Jing Gao 004; Aidong Zhang (SDM, 2019)

Answer-enhanced Path-aware Relation Detection over Knowledge Base. - Daoyuan Chen; Min Yang 007; Hai-Tao Zheng 002; Yaliang Li; Ying Shen 001 (SIGIR, 2019)

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. - Fenglong Ma; Yaliang Li; Chenwei Zhang; Jing Gao 004; Nan Du 001; Wei Fan 001 (WWW, 2019)

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. - Ying Shen 001; Yaliang Li; Hai-Tao Zheng 002; Buzhou Tang; Min Yang 007 (BMC Bioinform., 2019)

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. - Chenwei Zhang; Yaliang Li; Nan Du 001; Wei Fan 001; Philip S. Yu (CoRR, 2019)

Towards Data Poisoning Attack against Knowledge Graph Embedding. - Hengtong Zhang; Tianhang Zheng; Jing Gao 004; Chenglin Miao; Lu Su 001; Yaliang Li; Kui Ren 001 (CoRR, 2019)

KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. - Ying Shen 001; Kaiqi Yuan; Min Yang 007; Buzhou Tang; Yaliang Li; Nan Du 001; Kai Lei (J. Cheminformatics, 2019)

Privacy-Preserving Truth Discovery in Crowd Sensing Systems. - Chenglin Miao; Wenjun Jiang; Lu Su 001; Yaliang Li; Suxin Guo; Zhan Qin; Houping Xiao; Jing Gao 004; Kui Ren 001 (ACM Trans. Sens. Networks, 2019)

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. - Yang Deng 002; Wai Lam; Yuexiang Xie; Daoyuan Chen; Yaliang Li; Min Yang 007; Ying Shen 001 (AAAI, 2020)

On the Generation of Medical Question-Answer Pairs. - Sheng Shen 001; Yaliang Li; Nan Du 001; Xian Wu 001; Yusheng Xie; Shen Ge; Tao Yang 012; Kai Wang; Xingzheng Liang; Wei Fan 001 (AAAI, 2020)

Attentive User-Engaged Adversarial Neural Network for Community Question Answering. - Yuexiang Xie; Ying Shen 001; Yaliang Li; Min Yang 007; Kai Lei (AAAI, 2020)

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. - Daoyuan Chen; Yaliang Li; Kai Lei; Ying Shen 001 (ACL, 2020)

An Adaptive Embedding Framework for Heterogeneous Information Networks. - Daoyuan Chen; Yaliang Li; Bolin Ding; Ying Shen 001 (CIKM, 2020)

Towards Differentially Private Truth Discovery for Crowd Sensing Systems. - Yaliang Li; Houping Xiao; Zhan Qin; Chenglin Miao; Lu Su 001; Jing Gao 004; Kui Ren 001; Bolin Ding (ICDCS, 2020)

Automated Relational Meta-learning. - Huaxiu Yao; Xian Wu 001; Zhiqiang Tao; Yaliang Li; Bolin Ding; Ruirui Li 002; Zhenhui Li (ICLR, 2020)

Simple and Deep Graph Convolutional Networks. - Ming Chen; Zhewei Wei; Zengfeng Huang; Bolin Ding; Yaliang Li (ICML, 2020)

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Daoyuan Chen; Yaliang Li; Minghui Qiu; Zhen Wang 036; Bofang Li; Bolin Ding; Hongbo Deng; Jun Huang 007; Wei Lin 016; Jingren Zhou 001 (IJCAI, 2020)

Entity Synonym Discovery via Multipiece Bilateral Context Matching. - Chenwei Zhang; Yaliang Li; Nan Du 001; Wei Fan 001; Philip S. Yu (IJCAI, 2020)

Causal Inference Meets Machine Learning. - Peng Cui 001; Zheyan Shen; Sheng Li 001; Liuyi Yao; Yaliang Li; Zhixuan Chu; Jing Gao 004 (KDD, 2020)

Scalable Graph Neural Networks via Bidirectional Propagation. - Ming Chen; Zhewei Wei; Bolin Ding; Yaliang Li; Ye Yuan 001; Xiaoyong Du 001; Ji-Rong Wen (NeurIPS, 2020)

Learning to Mutate with Hypergradient Guided Population. - Zhiqiang Tao; Yaliang Li; Bolin Ding; Ce Zhang 001; Jingren Zhou 001; Yun Fu 001 (NeurIPS, 2020)

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. - Yang Deng 002; Wenxuan Zhang 001; Yaliang Li; Min Yang 007; Wai Lam; Ying Shen 001 (SIGIR, 2020)

Sequential Recommendation with Self-Attentive Multi-Adversarial Network. - Ruiyang Ren; Zhaoyang Liu 003; Yaliang Li; Wayne Xin Zhao; Hui Wang 072; Bolin Ding; Ji-Rong Wen (SIGIR, 2020)

Practical Data Poisoning Attack against Next-Item Recommendation. - Hengtong Zhang; Yaliang Li; Bolin Ding; Jing Gao 004 (WWW, 2020)

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (CoRR, 2020)

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. - Minghui Qiu; Peng Li 056; Hanjie Pan; Chengyu Wang 001; Ang Wang; Cen Chen 001; Yaliang Li; Dehong Gao; Jun Huang 007; Yong Li 020; Jun Yang 052; Deng Cai 001; et al. (CoRR, 2020)

Extracting Medical Knowledge from Crowdsourced Question Answering Website. - Yaliang Li; Chaochun Liu; Nan Du 001; Wei Fan 001; Qi Li 012; Jing Gao 004; Chenwei Zhang; Hao Wu (IEEE Trans. Big Data, 2020)

Learning Distance Metrics from Probabilistic Information. - Mengdi Huai; Chenglin Miao; Yaliang Li; Qiuling Suo; Lu Su 001; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2020)

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. - Lingyun Feng; Minghui Qiu; Yaliang Li; Hai-Tao Zheng 002; Ying Shen 001 (AAAI, 2021)

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. - Haojie Pan; Chengyu Wang 001; Minghui Qiu; Yichang Zhang; Yaliang Li; Jun Huang 007 (ACL/IJCNLP (1), 2021)

Differential Privacy for Text Analytics via Natural Text Sanitization. - Xiang Yue; Minxin Du; Tianhao Wang 001; Yaliang Li; Huan Sun 001; Sherman S. M. Chow (ACL/IJCNLP (Findings), 2021)

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. - Kun Zhou 002; Xiaolei Wang 005; Yuanhang Zhou; Chenzhan Shang; Yuan Cheng; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (ACL (demo), 2021)

AutoML: From Methodology to Application. - Yaliang Li; Zhen Wang 036; Yuexiang Xie; Bolin Ding; Kai Zeng 002; Ce Zhang 001 (CIKM, 2021)

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. - Minghui Qiu; Peng Li 056; Chengyu Wang 001; Haojie Pan; Ang Wang; Cen Chen 001; Xianyan Jia; Yaliang Li; Jun Huang 007; Deng Cai 001; Wei Lin 016 (CIKM, 2021)

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. - Liuyi Yao; Yaliang Li; Sheng Li 001; Mengdi Huai; Jing Gao 004; Aidong Zhang (CIKM, 2021)

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. - Wayne Xin Zhao; Shanlei Mu; Yupeng Hou; Zihan Lin; Yushuo Chen; Xingyu Pan; Kaiyuan Li; Yujie Lu; Hui Wang 072; Changxin Tian; Yingqian Min; Zhichao Feng; et al. (CIKM, 2021)

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. - Chenhe Dong; Yaliang Li; Ying Shen 001; Minghui Qiu (EMNLP (1), 2021)

Wasserstein Selective Transfer Learning for Cross-domain Text Mining. - Lingyun Feng; Minghui Qiu; Yaliang Li; Haitao Zheng 002; Ying Shen 001 (EMNLP (1), 2021)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. - Yuexiang Xie; Fei Sun 001; Yang Deng 002; Yaliang Li; Bolin Ding (EMNLP (Findings), 2021)

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. - Hengtong Zhang; Tianhang Zheng; Yaliang Li; Jing Gao 004; Lu Su 001; Bo Li 126 (EMNLP (1), 2021)

AutoML: A Perspective where Industry Meets Academy. - Yaliang Li; Zhen Wang 036; Bolin Ding; Ce Zhang 001 (KDD, 2021)

Debiasing Learning based Cross-domain Recommendation. - Siqing Li; Liuyi Yao; Shanlei Mu; Wayne Xin Zhao; Yaliang Li; Tonglei Guo; Bolin Ding; Ji-Rong Wen (KDD, 2021)

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (KDD, 2021)

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. - Hengtong Zhang; Changxin Tian; Yaliang Li; Lu Su 001; Nan Yang; Wayne Xin Zhao; Jing Gao 004 (KDD, 2021)

RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. - Xiaoxuan Hu; Hengtong Zhang; Wayne Xin Zhao; Yaliang Li; Jing Gao 004; Ji-Rong Wen (NLPCC (1), 2021)

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. - Yang Deng 002; Yaliang Li; Fei Sun 001; Bolin Ding; Wai Lam (SIGIR, 2021)

Automated Graph Learning via Population Based Self-Tuning GCN. - Ronghang Zhu; Zhiqiang Tao; Yaliang Li; Sheng Li 001 (SIGIR, 2021)

A Pluggable Learned Index Method via Sampling and Gap Insertion. - Yaliang Li; Daoyuan Chen; Bolin Ding; Kai Zeng 002; Jingren Zhou 001 (CoRR, 2021)

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. - Yang Deng 002; Yaliang Li; Wenxuan Zhang 001; Bolin Ding; Wai Lam (CoRR, 2021)

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. - Yang Li 106; Yu Shen 003; Wentao Zhang 001; Jiawei Jiang 001; Yaliang Li; Bolin Ding; Jingren Zhou 001; Zhi Yang 001; Wentao Wu 001; Ce Zhang 001; Bin Cui 001 (Proc. VLDB Endow., 2021)

A Survey on Causal Inference. - Liuyi Yao; Zhixuan Chu; Sheng Li 001; Yaliang Li; Jing Gao 004; Aidong Zhang (ACM Trans. Knowl. Discov. Data, 2021)

Modeling Relation Paths for Knowledge Graph Completion. - Ying Shen 001; Ning Ding 002; Hai-Tao Zheng 002; Yaliang Li; Min Yang 007 (IEEE Trans. Knowl. Data Eng., 2021)

ID-Agnostic User Behavior Pre-training for Sequential Recommendation. - Shanlei Mu; Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Bolin Ding (CCIR, 2022)

A Unified Transferable Model for ML-Enhanced DBMS. - Ziniu Wu; Pei Yu; Peilun Yang; Rong Zhu; Yuxing Han 002; Yaliang Li; Defu Lian; Kai Zeng 002; Jingren Zhou 001 (CIDR, 2022)

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. - Jinjia Feng; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei; Hongteng Xu (CIKM, 2022)

Privacy-Preserved Neural Graph Similarity Learning. - Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (ICDM, 2022)

iFlood: A Stable and Effective Regularizer. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Ce Zhang 001; Jingren Zhou 001; Bolin Ding (ICLR, 2022)

Finding Meta Winning Ticket to Train Your MAML. - Dawei Gao; Yuexiang Xie; Zimu Zhou; Zhen Wang 036; Yaliang Li; Bolin Ding (KDD, 2022)

Towards Universal Sequence Representation Learning for Recommender Systems. - Yupeng Hou; Shanlei Mu; Wayne Xin Zhao; Yaliang Li; Bolin Ding; Ji-Rong Wen (KDD, 2022)

A Practical Introduction to Federated Learning. - Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2022)

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. - Zhen Wang 036; Weirui Kuang; Yuexiang Xie; Liuyi Yao; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2022)

Graph Neural Networks with Node-wise Architecture. - Zhen Wang 036; Zhewei Wei; Yaliang Li; Weirui Kuang; Bolin Ding (KDD, 2022)

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. - Daoyuan Chen; Dawei Gao; Weirui Kuang; Yaliang Li; Bolin Ding (NeurIPS, 2022)

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. - Runlin Lei; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei (NeurIPS, 2022)

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. - Shanlei Mu; Yaliang Li; Wayne Xin Zhao; Jingyuan Wang 001; Bolin Ding; Ji-Rong Wen (SIGIR, 2022)

Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. - Changxin Tian; Yuexiang Xie; Yaliang Li; Nan Yang; Wayne Xin Zhao (SIGIR, 2022)

Explainable Neural Rule Learning. - Shaoyun Shi; Yuexiang Xie; Zhen Wang 036; Bolin Ding; Yaliang Li; Min Zhang 006 (WWW, 2022)

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. - Yiqing Xie; Zhen Wang 036; Carl Yang 001; Yaliang Li; Bolin Ding; Hongbo Deng; Jiawei Han 001 (WWW, 2022)

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. - Yuexiang Xie; Zhen Wang 036; Daoyuan Chen; Dawei Gao; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2022)

A Benchmark for Federated Hetero-Task Learning. - Liuyi Yao; Dawei Gao; Zhen Wang 036; Yuexiang Xie; Weirui Kuang; Daoyuan Chen; Haohui Wang; Chenhe Dong; Bolin Ding; Yaliang Li (CoRR, 2022)

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. - Zhen Wang 036; Weirui Kuang; Ce Zhang 001; Bolin Ding; Yaliang Li (CoRR, 2022)

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (CoRR, 2022)

Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. - Chenghao Lyu; Qi Fan; Fei Song; Arnab Sinha; Yanlei Diao; Wei Chen 133; Li Ma; Yihui Feng; Yaliang Li; Kai Zeng 002; Jingren Zhou 001 (Proc. VLDB Endow., 2022)

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. - Yang Deng 002; Yaliang Li; Wenxuan Zhang 001; Bolin Ding; Wai Lam (ACM Trans. Inf. Syst., 2022)

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. - Yang Deng 002; Yuexiang Xie; Yaliang Li; Min Yang 007; Wai Lam; Ying Shen 001 (ACM Trans. Inf. Syst., 2022)

Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. - Siqing Li; Yaliang Li; Wayne Xin Zhao; Bolin Ding; Ji-Rong Wen (ACM Trans. Inf. Syst., 2022)

Knowledge-Guided Disentangled Representation Learning for Recommender Systems. - Shanlei Mu; Yaliang Li; Wayne Xin Zhao; Siqing Li; Ji-Rong Wen (ACM Trans. Inf. Syst., 2022)

Tunable Soft Prompts are Messengers in Federated Learning. - Chenhe Dong; Yuexiang Xie; Bolin Ding; Ying Shen 001; Yaliang Li (EMNLP (Findings), 2023)

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. - Jinhao Jiang; Kun Zhou 002; Wayne Xin Zhao; Yaliang Li; Ji-Rong Wen (EMNLP, 2023)

Source-Free Unsupervised Domain Adaptation for Question Answering. - Zishuo Zhao; Yuexiang Xie; Jingyou Xie; Zhenzhou Lin; Yaliang Li; Ying Shen 001 (ICASSP, 2023)

Learned Index with Dynamic $ epsilon$. - Daoyuan Chen; Wuchao Li; Yaliang Li; Bolin Ding; Kai Zeng 002; Defu Lian; Jingren Zhou 001 (ICLR, 2023)

Efficient Personalized Federated Learning via Sparse Model-Adaptation. - Daoyuan Chen; Liuyi Yao; Dawei Gao; Bolin Ding; Yaliang Li (ICML, 2023)

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. - Zhen Wang 036; Weirui Kuang; Ce Zhang 001; Bolin Ding; Yaliang Li (ICML, 2023)

Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. - Ergute Bao; Dawei Gao; Xiaokui Xiao; Yaliang Li (KDD, 2023)

FS-REAL: Towards Real-World Cross-Device Federated Learning. - Daoyuan Chen; Dawei Gao; Yuexiang Xie; Xuchen Pan; Zitao Li; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2023)

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. - Zeyu Qin; Liuyi Yao; Daoyuan Chen; Yaliang Li; Bolin Ding; Minhao Cheng (KDD, 2023)

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. - Liuyi Yao; Yaliang Li; Bolin Ding; Jingren Zhou 001; Jinduo Liu 001; Mengdi Huai; Jing Gao 004 (WWW, 2023)

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. - Qian Tao; Zhen Wang 036; Wenyuan Yu; Yaliang Li; Zhewei Wei (CoRR, 2023)

HPN: Personalized Federated Hyperparameter Optimization. - Anda Cheng; Zhen Wang 036; Yaliang Li; Jian Cheng 001 (CoRR, 2023)

Counterfactual Debiasing for Generating Factually Consistent Text Summaries. - Chenhe Dong; Yuexiang Xie; Yaliang Li; Ying Shen 001 (CoRR, 2023)

BASE: Bridging the Gap between Cost and Latency for Query Optimization. - Xu Chen 023; Zhen Wang 036; Shuncheng Liu 001; Yaliang Li; Kai Zeng 002; Bolin Ding; Jingren Zhou 001; Han Su 001; Kai Zheng 001 (Proc. VLDB Endow., 2023)

FS-Real: A Real-World Cross-Device Federated Learning Platform. - Dawei Gao; Daoyuan Chen; Zitao Li; Yuexiang Xie; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. - Yuexiang Xie; Zhen Wang 036; Dawei Gao; Daoyuan Chen; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

Multi-grained hypergraph interest modeling for conversational recommendation. - Chenzhan Shang; Yupeng Hou; Wayne Xin Zhao; Yaliang Li; Jing Zhang 001 (AI Open, 2023)

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. - Hengtong Zhang; Yaliang Li; Bolin Ding; Jing Gao 004 (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge-Based Reasoning Network for Relation Detection. - Ying Shen 001; Min Yang 007; Yaliang Li; Dong Wang; Hai-Tao Zheng 002; Daoyuan Chen (IEEE Trans. Neural Networks Learn. Syst., 2023)

Concept-Level Model Interpretation From the Causal Aspect. - Liuyi Yao; Yaliang Li; Sheng Li 001; Jinduo Liu 001; Mengdi Huai; Aidong Zhang; Jing Gao 004 (IEEE Trans. Knowl. Data Eng., 2023)

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. - Yang Deng 002; Yaliang Li; Bolin Ding; Wai Lam (IEEE Trans. Knowl. Data Eng., 2023)

DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. - Yingqian Min; Kun Zhou 002; Dawei Gao; Xin Zhao 018; He Hu 001; Yaliang Li (ACL (Findings), 2024)

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. - Jinjia Feng; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding; Hongteng Xu (CIKM, 2024)

SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. - Panjia Qiu; Guanghao Zhou; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Wenming Zhou (CIKM, 2024)

LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. - Guanghao Zhou; Panjia Qiu; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Wenmeng Zhou (CIKM, 2024)

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. - Mengsha Liu; Daoyuan Chen; Yaliang Li; Guian Fang; Ying Shen 001 (LREC/COLING, 2024)

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. - Peiyu Liu 002; Zikang Liu 001; Ze-Feng Gao; Dawei Gao; Wayne Xin Zhao; Yaliang Li; Bolin Ding; Ji-Rong Wen (LREC/COLING, 2024)

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. - Chenxi Sun; Hongyan Li 002; Yaliang Li; Shenda Hong (ICLR, 2024)

Improving LoRA in Privacy-preserving Federated Learning. - Youbang Sun; Zitao Li; Yaliang Li; Bolin Ding (ICLR, 2024)

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ICML, 2024)

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. - Zhen Qin 004; Daoyuan Chen; Bingchen Qian; Bolin Ding; Yaliang Li; Shuiguang Deng (ICML, 2024)

Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. - Daoyuan Chen; Yaliang Li; Bolin Ding (KDD, 2024)

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. - Weirui Kuang; Bingchen Qian; Zitao Li; Daoyuan Chen; Dawei Gao; Xuchen Pan; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2024)

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (KDD, 2024)

FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. - Feijie Wu; Zitao Li; Yaliang Li; Bolin Ding; Jing Gao 004 (KDD, 2024)

VertiMRF: Differentially Private Vertical Federated Data Synthesis. - Fangyuan Zhao; Zitao Li; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (KDD, 2024)

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness. - Mingyuan Fan 003; Xiaodan Li; Cen Chen 001; Wenmeng Zhou; Yaliang Li (NeurIPS, 2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources. - Jiamu Bai; Daoyuan Chen; Bingchen Qian; Liuyi Yao; Yaliang Li (NeurIPS, 2024)

Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. - Zhe Xu 009; Daoyuan Chen; Jiayi Kuang; Zihao Yi; Yaliang Li; Ying Shen 001 (SIGIR, 2024)

Data-Juicer: A One-Stop Data Processing System for Large Language Models. - Daoyuan Chen; Yilun Huang 004; Zhijian Ma; Hesen Chen; Xuchen Pan; Ce Ge; Dawei Gao; Yuexiang Xie; Zhaoyang Liu 003; Jinyang Gao; Yaliang Li; Bolin Ding; et al. (SIGMOD Conference Companion, 2024)

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. - Zhen Wang 036; Yaliang Li; Bolin Ding; Yule Li; Zhewei Wei (WWW, 2024)

Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Yaliang Li; Ying Shen 001 (CoRR, 2024)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

An Auction-based Marketplace for Model Trading in Federated Learning. - Yue Cui 001; Liuyi Yao; Yaliang Li; Ziqian Chen; Bolin Ding; Xiaofang Zhou 001 (CoRR, 2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. - Jiamu Bai; Daoyuan Chen; Bingchen Qian; Liuyi Yao; Yaliang Li (CoRR, 2024)

AgentScope: A Flexible yet Robust Multi-Agent Platform. - Dawei Gao; Zitao Li; Weirui Kuang; Xuchen Pan; Daoyuan Chen; Zhijian Ma; Bingchen Qian; Liuyi Yao; Lin Zhu; Chen Cheng; Hongzhu Shi; Yaliang Li; et al. (CoRR, 2024)

Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning. - Shen Li; Liuyi Yao; Jinyang Gao; Lan Zhang 002; Yaliang Li (CoRR, 2024)

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. - Yue Cui 001; Liuyi Yao; Zitao Li; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (CoRR, 2024)

Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. - Xinyu Tang 004; Xiaolei Wang 005; Wayne Xin Zhao; Siyuan Lu; Yaliang Li; Ji-Rong Wen (CoRR, 2024)

Less is More: Data Value Estimation for Visual Instruction Tuning. - Zikang Liu 001; Kun Zhou 002; Wayne Xin Zhao; Dawei Gao; Yaliang Li; Ji-Rong Wen (CoRR, 2024)

Review of Data-centric Time Series Analysis from Sample, Feature, and Period. - Chenxi Sun; Hongyan Li 002; Yaliang Li; Shenda Hong (CoRR, 2024)

Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. - Ce Ge; Zhijian Ma; Daoyuan Chen; Yaliang Li; Bolin Ding (CoRR, 2024)

ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. - Zhongjie Duan; Wenmeng Zhou; Cen Chen 001; Yaliang Li; Weining Qian (CoRR, 2024)

The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. - Zhen Qin 004; Daoyuan Chen; Wenhao Zhang; Liuyi Yao; Yilun Huang 004; Bolin Ding; Yaliang Li; Shuiguang Deng (CoRR, 2024)

Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. - Daoyuan Chen; Haibin Wang; Yilun Huang 004; Ce Ge; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

On the Design and Analysis of LLM-Based Algorithms. - Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

Very Large-Scale Multi-Agent Simulation in AgentScope. - Xuchen Pan; Dawei Gao; Yuexiang Xie; Zhewei Wei; Yaliang Li; Bolin Ding; Ji-Rong Wen; Jingren Zhou 001 (CoRR, 2024)

EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. - Die Chen; Zhiwen Li; Mingyuan Fan 003; Cen Chen 001; Wenmeng Zhou; Yaliang Li (CoRR, 2024)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Yaliang Li; Ying Shen 001 (CoRR, 2024)

Understanding Byzantine Robustness in Federated Learning with A Black-box Server. - Fangyuan Zhao; Yuexiang Xie; Xuebin Ren; Bolin Ding; Shusen Yang; Yaliang Li (CoRR, 2024)

Exploring Selective Layer Fine-Tuning in Federated Learning. - Yuchang Sun 001; Yuexiang Xie; Bolin Ding; Yaliang Li; Jun Zhang 004 (CoRR, 2024)

GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Jiakai Tang; Heyang Gao; Xuchen Pan; Lei Wang 198; Haoran Tan; Dawei Gao; Yushuo Chen; Xu Chen 017; Yankai Lin; Yaliang Li; Bolin Ding; Jingren Zhou 001; et al. (CoRR, 2024)

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (CoRR, 2024)

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

ArtAug: Enhancing Text-to-Image Generation through Synthesis-Understanding Interaction. - Zhongjie Duan; Qianyi Zhao; Cen Chen 001; Daoyuan Chen; Wenmeng Zhou; Yaliang Li; Yingda Chen (CoRR, 2024)

HumanVBench: Exploring Human-Centric Video Understanding Capabilities of MLLMs with Synthetic Benchmark Data. - Ting Zhou; Daoyuan Chen; Qirui Jiao; Bolin Ding; Yaliang Li; Ying Shen 001 (CoRR, 2024)

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. - Dawei Gao; Haibin Wang; Yaliang Li; Xiuyu Sun; Yichen Qian; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

Performance-Based Pricing of Federated Learning via Auction. - Zitao Li; Bolin Ding; Liuyi Yao; Yaliang Li; Xiaokui Xiao; Jingren Zhou 001 (Proc. VLDB Endow., 2024)

Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. - Changxin Tian; Yuexiang Xie; Xu Chen 017; Yaliang Li; Xin Zhao 018 (ACM Trans. Inf. Syst., 2024)

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. - Weirui Kuang; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Is Sharing Neighbor Generator in Federated Graph Learning Safe? - Liuyi Yao; Zhen Wang 036; Yuexiang Xie; Yaliang Li; Weirui Kuang; Daoyuan Chen; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. - Xinyu Tang 004; Xiaolei Wang 005; Wayne Xin Zhao; Siyuan Lu; Yaliang Li; Ji-Rong Wen (AAAI, 2025)

Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. - Yue Cui 001; Liuyi Yao; Shuchang Tao; Weijie Shi; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (ACL (Findings), 2025)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Xu Chen 017; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (ACL (Findings), 2025)

Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. - Delong Zeng; Yuexiang Xie; Yaliang Li; Ying Shen 001 (ACL (1), 2025)

Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Bolin Ding; Yaliang Li; Ying Shen 001 (CVPR, 2025)

A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. - Yue Cui 001; Liuyi Yao; Zitao Li; Yaliang Li; Keqin Zhong; Bingyi Liu; Bolin Ding; Xiaofang Zhou 001 (ICDE, 2025)

Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. - Die Chen; Zhiwen Li; Mingyuan Fan 003; Cen Chen 001; Wenmeng Zhou; Yanhao Wang 001; Yaliang Li (ICLR, 2025)

Agent-Oriented Planning in Multi-Agent Systems. - Ao Li; Yuexiang Xie; Songze Li; Fugee Tsung; Bolin Ding; Yaliang Li (ICLR, 2025)

Safety Layers in Aligned Large Language Models: The Key to LLM Security. - Shen Li; Liuyi Yao; Lan Zhang 002; Yaliang Li (ICLR, 2025)

AgentStory: A Multi-Agent System for Story Visualization with Multi-Subject Consistent Text-to-Image Generation. - Tianchen Zhou; Zhongjie Duan; Cen Chen 001; Wenmeng Zhou; Yanhao Wang 001; Yaliang Li (ICMR, 2025)

Knowledge Graph-Guided Retrieval Augmented Generation. - Xiangrong Zhu; Yuexiang Xie; Yi Liu; Yaliang Li; Wei Hu (NAACL (Long Papers), 2025)

Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. - Zhiwen Li; Die Chen; Mingyuan Fan 003; Cen Chen 001; Yaliang Li; Yanhao Wang 001; Wenmeng Zhou (WWW, 2025)

Functionality and Data Stealing by Pseudo-Client Attack and Target Defenses in Split Learning. - Lan Zhang 002; Xinben Gao; Yaliang Li; Yunhao Liu 001 (IEEE Trans. Dependable Secur. Comput., 2025)

DeepReg: A Trustworthy and Privacy-Friendly Ownership Regulatory Framework for Deep Learning Models. - Xirong Zhuang; Lan Zhang 002; Chen Tang 002; Yaliang Li (IEEE Trans. Inf. Forensics Secur., 2025)

Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering. - Feijie Wu; Zitao Li; Fei Wei; Yaliang Li; Bolin Ding; Jing Gao 004 (CoRR, 2025)

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. - Daoyuan Chen; Yilun Huang 004; Xuchen Pan; Nana Jiang; Haibin Wang; Ce Ge; Yushuo Chen; Wenhao Zhang; Zhijian Ma; Yilei Zhang; Jun Huang 007; Wei Lin 016; et al. (CoRR, 2025)

Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data. - Zhenqing Ling; Daoyuan Chen; Liuyi Yao; Yaliang Li; Ying Shen 001 (CoRR, 2025)

KIMAs: A Configurable Knowledge Integrated Multi-Agent System. - Zitao Li; Fei Wei; Yuexiang Xie; Dawei Gao; Weirui Kuang; Zhijian Ma; Bingchen Qian; Yaliang Li; Bolin Ding (CoRR, 2025)

Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. - Zikang Liu 001; Kun Zhou 002; Wayne Xin Zhao; Dawei Gao; Yaliang Li; Ji-Rong Wen (CoRR, 2025)

Towards Anthropomorphic Conversational AI Part I: A Practical Framework. - Fei Wei; Yaliang Li; Bolin Ding (CoRR, 2025)

MindGYM: Enhancing Vision-Language Models via Synthetic Self-Challenging Questions. - Zhe Xu 009; Daoyuan Chen; Zhenqing Ling; Yaliang Li; Ying Shen 001 (CoRR, 2025)

Automated Profile Inference with Language Model Agents. - Yuntao Du 002; Zitao Li; Bolin Ding; Yaliang Li; Hanshen Xiao; Jingren Zhou 001; Ninghui Li (CoRR, 2025)

Enhancing Latent Computation in Transformers with Latent Tokens. - Yuchang Sun 001; Yanxi Chen 001; Yaliang Li; Bolin Ding (CoRR, 2025)

Comprehensive Evaluation and Analysis for NSFW Concept Erasure in Text-to-Image Diffusion Models. - Die Chen; Zhiwen Li; Cen Chen 001; Yuexiang Xie; Xiaodan Li; Jinyan Ye; Yingda Chen; Yaliang Li (CoRR, 2025)

DetailMaster: Can Your Text-to-Image Model Handle Long Prompts? - Qirui Jiao; Daoyuan Chen; Yilun Huang 004; Xika Lin; Ying Shen 001; Yaliang Li (CoRR, 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)

Efficient Leave-one-out Approximation in LLM Multi-agent Debate Based on Introspection. - Yue Cui 001; Liuyi Yao; Zitao Li; Yaliang Li; Bolin Ding; Xiaofang Zhou 001 (CoRR, 2025)

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graphs for Retrieval-Augmented Generation. - Ze Yu Zhang; Zitao Li; Yaliang Li; Bolin Ding; Bryan Kian Hsiang Low (CoRR, 2025)

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. - Yule Li; Yifeng Lu; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (CoRR, 2025)

Security Tensors as a Cross-Modal Bridge: Extending Text-Aligned Safety to Vision in LVLM. - Shen Li; Liuyi Yao; Wujia Niu; Lan Zhang 002; Yaliang Li (CoRR, 2025)

AutoLoRA: Automatic LoRA Retrieval and Fine-Grained Gated Fusion for Text-to-Image Generation. - Zhiwen Li; Zhongjie Duan; Die Chen; Cen Chen 001; Daoyuan Chen; Yaliang Li; Yingda Chen (CoRR, 2025)

AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models. - Die Chen; Zhongjie Duan; Zhiwen Li; Cen Chen 001; Daoyuan Chen; Yaliang Li; Yinda Chen (CoRR, 2025)

On-Policy RL Meets Off-Policy Experts: Harmonizing Supervised Fine-Tuning and Reinforcement Learning via Dynamic Weighting. - Wenhao Zhang; Yuexiang Xie; Yuchang Sun 001; Yanxi Chen 001; Guoyin Wang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2025)

Tree-based Models for Vertical Federated Learning: A Survey. - Bingchen Qian; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ACM Comput. Surv., 2025)