Yaliang Li

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 228

Top Venues

Publications

Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development. CoRR (2024)
Yingqian Min, Kun Zhou, Dawei Gao, Xin Zhao, He Hu, Yaliang Li
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. ACL (Findings) (2024)
Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR (2024)
Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. Proc. VLDB Endow. 17 (5) (2024)
Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. LREC/COLING (2024)
Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR (2024)
Zhongjie Duan, Wenmeng Zhou, Cen Chen, Yaliang Li, Weining Qian
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. CoRR (2024)
Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. CoRR (2024)
Jiamu Bai, Daoyuan Chen, Bingchen Qian, Liuyi Yao, Yaliang Li
Federated Fine-tuning of Large Language Models under Heterogeneous Language Tasks and Client Resources. CoRR (2024)
Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen
Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers. CoRR (2024)
Xuchen Pan, Dawei Gao, Yuexiang Xie, Zhewei Wei, Yaliang Li, Bolin Ding, Ji-Rong Wen, Jingren Zhou
Very Large-Scale Multi-Agent Simulation in AgentScope. CoRR (2024)
Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
Data-Juicer: A One-Stop Data Processing System for Large Language Models. SIGMOD Conference Companion (2024)
Daoyuan Chen, Yaliang Li, Bolin Ding
Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD (2024)
Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD (2024)
Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
On the Convergence of Zeroth-Order Federated Tuning in Large Language Models. CoRR (2024)
Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen
Less is More: Data Value Estimation for Visual Instruction Tuning. CoRR (2024)
Zhen Qin, Daoyuan Chen, Wenhao Zhang, Liuyi Yao, Yilun Huang, Bolin Ding, Yaliang Li, Shuiguang Deng
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective. CoRR (2024)
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Improving LoRA in Privacy-preserving Federated Learning. CoRR (2024)
Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW (2024)
Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Improving LoRA in Privacy-preserving Federated Learning. ICLR (2024)
Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen
Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. CoRR (2024)
Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR (2024)
Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
On the Design and Analysis of LLM-Based Algorithms. CoRR (2024)
Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding
Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR (2024)
Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR (2024)
Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD (2024)
Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. SIGIR (2024)
Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning. CoRR (2024)
Dawei Gao, Zitao Li, Weirui Kuang, Xuchen Pan, Daoyuan Chen, Zhijian Ma, Bingchen Qian, Liuyi Yao, Lin Zhu, Chen Cheng, Hongzhu Shi, Yaliang Li, Bolin Ding, Jingren Zhou
AgentScope: A Flexible yet Robust Multi-Agent Platform. CoRR (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR (2024)
Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR (2024)
Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. CoRR (2024)
Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. LREC/COLING (2024)
Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou
Performance-Based Pricing of Federated Learning via Auction. Proc. VLDB Endow. 17 (6) (2024)
Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou
EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. CoRR (2024)
Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD (2024)
Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR (2024)
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. KDD (2024)
Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao
Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. 42 (5) (2024)
Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR (2024)
Jinhao Jiang, Kun Zhou, Xin Zhao, Yaliang Li, Ji-Rong Wen
ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. EMNLP (2023)
Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
Learned Index with Dynamic $\epsilon$. ICLR (2023)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-REAL: Towards Real-World Cross-Device Federated Learning. KDD (2023)
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD (2023)
Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. 35 (5) (2023)
Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
Multi-grained hypergraph interest modeling for conversational recommendation. AI Open 4 (2023)
Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Dawei Gao, Haibin Wang, Yaliang Li, Xiuyu Sun, Yichen Qian, Bolin Ding, Jingren Zhou
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation. CoRR (2023)
Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR (2023)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Tunable Soft Prompts are Messengers in Federated Learning. CoRR (2023)
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR (2023)
Dawei Gao, Daoyuan Chen, Zitao Li, Yuexiang Xie, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: A Real-World Cross-Device Federated Learning Platform. Proc. VLDB Endow. 16 (12) (2023)
Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng
HPN: Personalized Federated Hyperparameter Optimization. CoRR (2023)
Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD (2023)
Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW (2023)
Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML (2023)
Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. CoRR (2023)
Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. CoRR (2023)
Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng
BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. 16 (8) (2023)
Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou
Data-Juicer: A One-Stop Data Processing System for Large Language Models. CoRR (2023)
Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. 16 (5) (2023)
Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes. CoRR (2023)
Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR (2023)
Weirui Kuang, Bingchen Qian, Zitao Li, Daoyuan Chen, Dawei Gao, Xuchen Pan, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. CoRR (2023)
Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR (2023)
Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) (2023)
Daoyuan Chen, Dawei Gao, Yuexiang Xie, Xuchen Pan, Zitao Li, Yaliang Li, Bolin Ding, Jingren Zhou
FS-Real: Towards Real-World Cross-Device Federated Learning. CoRR (2023)
Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen
Knowledge-Based Reasoning Network for Relation Detection. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Yang Deng, Yaliang Li, Bolin Ding, Wai Lam
Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen
Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP (2023)
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML (2023)
Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen
Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR (2023)
Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR (2023)
Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
Graph Neural Networks with Node-wise Architecture. KDD (2022)
Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD (2022)
Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
Privacy-Preserved Neural Graph Similarity Learning. ICDM (2022)
Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR (2022)
Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS (2022)
Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
Privacy-Preserved Neural Graph Similarity Learning. CoRR (2022)
Chenghao Lyu, Qi Fan, Fei Song, Arnab Sinha, Yanlei Diao, Wei Chen, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou
Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing. Proc. VLDB Endow. 15 (11) (2022)
Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR (2022)
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR (2022)
Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
Explainable Neural Rule Learning. WWW (2022)
Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR (2022)
Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
A Unified Transferable Model for ML-Enhanced DBMS. CIDR (2022)
Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR (2022)
Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam
Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling. ACM Trans. Inf. Syst. 40 (4) (2022)
Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS (2022)
Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen
Towards Universal Sequence Representation Learning for Recommender Systems. KDD (2022)
Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40 (1) (2022)
Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR (2022)
Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. ACM Trans. Inf. Syst. 40 (1) (2022)
Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
iFlood: A Stable and Effective Regularizer. ICLR (2022)
Yaliang Li, Bolin Ding, Jingren Zhou
A Practical Introduction to Federated Learning. KDD (2022)
Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40 (1) (2022)
Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM (2022)
Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW (2022)
Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. CoRR (2022)
Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR (2022)
Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR (2022)

Yaliang Li.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yaliang Li