Yaliang Li

According to our database, Yaliang Li authored at least 174 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Performance-Based Pricing of Federated Learning via Auction.

Zitao Li, Bolin Ding, Liuyi Yao, Yaliang Li, Xiaokui Xiao, Jingren Zhou

Proc. VLDB Endow., February, 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

Proc. VLDB Endow., January, 2024

Improving LoRA in Privacy-preserving Federated Learning.

Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding

CoRR, 2024

ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization.

Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen

CoRR, 2024

Less is More: Data Value Estimation for Visual Instruction Tuning.

Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen

CoRR, 2024

Unleashing the Potential of Large Language Models as Prompt Optimizers: An Analogical Analysis with Gradient-based Model Optimizers.

Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen

CoRR, 2024

A Bargaining-based Approach for Feature Trading in Vertical Federated Learning.

Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou

CoRR, 2024

Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning.

Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, 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, Bolin Ding, Jingren Zhou

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

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models.

Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen

CoRR, 2024

An Auction-based Marketplace for Model Trading in Federated Learning.

Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou

CoRR, 2024

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models.

Xuchen Pan, Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2024

Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study.

Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen

CoRR, 2024

Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning.

Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li

CoRR, 2024

2023

Leveraging Long Short-Term User Preference in Conversational Recommendation via Multi-agent Reinforcement Learning.

Yang Deng, Yaliang Li, Bolin Ding, Wai Lam

IEEE Trans. Knowl. Data Eng., November, 2023

Concept-Level Model Interpretation From the Causal Aspect.

Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao

IEEE Trans. Knowl. Data Eng., September, 2023

Knowledge-Based Reasoning Network for Relation Detection.

Ying Shen, Min Yang, Yaliang Li, Dong Wang, Hai-Tao Zheng, Daoyuan Chen

IEEE Trans. Neural Networks Learn. Syst., August, 2023

LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations.

Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

IEEE Trans. Knowl. Data Eng., May, 2023

Multi-grained hypergraph interest modeling for conversational recommendation.

Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang

AI Open, January, 2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

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

Proc. VLDB Endow., 2023

BASE: Bridging the Gap between Cost and Latency for Query Optimization.

Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng

Proc. VLDB Endow., 2023

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes.

Zhen Qin, Daoyuan Chen, Bingchen Qian, Bolin Ding, Yaliang Li, Shuiguang Deng

CoRR, 2023

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism.

Yanxi Chen, Xuchen Pan, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2023

Data-Juicer: A One-Stop Data Processing System for Large Language Models.

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

CoRR, 2023

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

CoRR, 2023

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series.

Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong

CoRR, 2023

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study.

Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen

CoRR, 2023

Counterfactual Debiasing for Generating Factually Consistent Text Summaries.

Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen

CoRR, 2023

HPN: Personalized Federated Hyperparameter Optimization.

Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng

CoRR, 2023

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis.

Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei

CoRR, 2023

Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning.

Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao

Proceedings of the ACM Web Conference 2023, 2023

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks.

Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting.

Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

Efficient Personalized Federated Learning via Sparse Model-Adaptation.

Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

Learned Index with Dynamic $\epsilon$.

Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Source-Free Unsupervised Domain Adaptation for Question Answering.

Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen

Proceedings of the IEEE International Conference on Acoustics, 2023

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph.

Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Tunable Soft Prompts are Messengers in Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

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

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen

ACM Trans. Inf. Syst., 2022

Toward Personalized Answer Generation in E-Commerce via Multi-perspective Preference Modeling.

Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

ACM Trans. Inf. Syst., 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, Li Ma, Yihui Feng, Yaliang Li, Kai Zeng, Jingren Zhou

Proc. VLDB Endow., 2022

Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning.

Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li

CoRR, 2022

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

CoRR, 2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios.

Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Neural Rule Learning.

Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering.

Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator.

Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.

Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning.

Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Networks with Node-wise Architecture.

Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

A Practical Introduction to Federated Learning.

Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Universal Sequence Representation Learning for Recommender Systems.

Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Finding Meta Winning Ticket to Train Your MAML.

Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

iFlood: A Stable and Effective Regularizer.

Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding

Proceedings of the Tenth International Conference on Learning Representations, 2022

Privacy-Preserved Neural Graph Similarity Learning.

Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

Proceedings of the IEEE International Conference on Data Mining, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Unified Transferable Model for ML-Enhanced DBMS.

Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou

Proceedings of the 12th Conference on Innovative Data Systems Research, 2022

ID-Agnostic User Behavior Pre-training for Sequential Recommendation.

Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding

Proceedings of the Information Retrieval - 28th China Conference, 2022

2021

Modeling Relation Paths for Knowledge Graph Completion.

Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang

IEEE Trans. Knowl. Data Eng., 2021

A Survey on Causal Inference.

Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2021

VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition.

Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui

Proc. VLDB Endow., 2021

Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling.

Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam

CoRR, 2021

A Pluggable Learned Index Method via Sampling and Gap Insertion.

Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou

CoRR, 2021

Automated Graph Learning via Population Based Self-Tuning GCN.

Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning.

Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer.

Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data.

Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoML: A Perspective where Industry Meets Academy.

Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness.

Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation.

Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Wasserstein Selective Transfer Learning for Cross-domain Text Mining.

Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression.

Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.

Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

AutoML: From Methodology to Application.

Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

CRSLab: An Open-Source Toolkit for Building Conversational Recommender System.

Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen

Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Differential Privacy for Text Analytics via Natural Text Sanitization.

Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains.

Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Learning to Augment for Data-scarce Domain BERT Knowledge Distillation.

Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning Distance Metrics from Probabilistic Information.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

ACM Trans. Knowl. Discov. Data, 2020

Extracting Medical Knowledge from Crowdsourced Question Answering Website.

Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu

IEEE Trans. Big Data, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

CoRR, 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

CoRR, 2020

Practical Data Poisoning Attack against Next-Item Recommendation.

Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Sequential Recommendation with Self-Attentive Multi-Adversarial Network.

Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization.

Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning to Mutate with Hypergradient Guided Population.

Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Graph Neural Networks via Bidirectional Propagation.

Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Causal Inference Meets Machine Learning.

Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Entity Synonym Discovery via Multipiece Bilateral Context Matching.

Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Simple and Deep Graph Convolutional Networks.

Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li

Proceedings of the 37th International Conference on Machine Learning, 2020

Automated Relational Meta-learning.

Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Towards Differentially Private Truth Discovery for Crowd Sensing Systems.

Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

An Adaptive Embedding Framework for Heterogeneous Information Networks.

Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents.

Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Attentive User-Engaged Adversarial Neural Network for Community Question Answering.

Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

On the Generation of Medical Question-Answer Pairs.

Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering.

Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Privacy-Preserving Truth Discovery in Crowd Sensing Systems.

Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren

ACM Trans. Sens. Networks, 2019

KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation.

Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei

J. Cheminformatics, 2019

Towards Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

CoRR, 2019

SynonymNet: Multi-context Bilateral Matching for Entity Synonyms.

Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu

CoRR, 2019

Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier.

Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang

BMC Bioinform., 2019

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.

Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan

Proceedings of the World Wide Web Conference, 2019

Answer-enhanced Path-aware Relation Detection over Knowledge Base.

Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

DTEC: Distance Transformation Based Early Time Series Classification.

Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Path-based Attribute-aware Representation Learning for Relation Prediction.

Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep Skip-Gram Networks for Text Classification.

Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li

Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

A Minimax Game for Instance based Selective Transfer Learning.

Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Data Poisoning Attack against Knowledge Graph Embedding.

Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Estimation of Treatment Effect with Text Covariates.

Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data.

Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Knowledge-aware Textual Entailment with Graph Attention Network.

Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Joint Slot Filling and Intent Detection via Capsule Neural Networks.

Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-grained Named Entity Recognition.

Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering.

Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

CBN: Constructing a clinical Bayesian network based on data from the electronic medical record.

Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai Lei

J. Biomed. Informatics, 2018

Finding Similar Medical Questions from Question Answering Websites.

Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan

CoRR, 2018

When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition.

Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei

CoRR, 2018

An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei

Artif. Intell. Medicine, 2018

Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction.

Ying Shen, Yaliang Li, Yang Deng, Jin Zhang, Min Yang, Jinsong Chen, Shangchun Si, Kai Lei

IEEE Access, 2018

Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs.

Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Ontology Evaluation with Path-based Text-aware Entropy Computation.

Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Online Truth Discovery on Time Series Data.

Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Uncorrelated Patient Similarity Learning.

Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

Representation Learning for Treatment Effect Estimation from Observational Data.

Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.

Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

On the Generative Discovery of Structured Medical Knowledge.

Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery.

Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Metric Learning from Probabilistic Labels.

Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy.

Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Cooperative Denoising for Distantly Supervised Relation Extraction.

Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge.

Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning.

Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Leveraging the Power of Informative Users for Local Event Detection.

Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su

Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017

A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks.

Yaliang Li, Jing Gao, Patrick P. C. Lee, Lu Su, Caifeng He, Cheng He, Fan Yang, Wei Fan

IEEE Trans. Mob. Comput., 2017

Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.

Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts.

Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems.

Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, Miaomiao Tian

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

A Correlated Topic Model Using Word Embeddings.

Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Generating Medical Hypotheses Based on Evolutionary Medical Concepts.

Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Bringing semantic structures to user intent detection in online medical queries.

Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery.

Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han

IEEE Trans. Knowl. Data Eng., 2016

Topic Discovery for Short Texts Using Word Embeddings.

Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Augmented LSTM Framework to Construct Medical Self-Diagnosis Android.

Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Multi-source Hierarchical Prediction Consolidation.

Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Influence-Aware Truth Discovery.

Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach.

Sheng Li, Yaliang Li, Yun Fu

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

A Survey on Truth Discovery.

Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han

SIGKDD Explor., 2015

Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems.

Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Truth Discovery on Crowd Sensing of Correlated Entities.

Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng

Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems, 2015

Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data.

Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.

Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On the Discovery of Evolving Truth.

Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

A Confidence-Aware Approach for Truth Discovery on Long-Tail Data.

Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han

Proc. VLDB Endow., 2014

Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation.

Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han

Proceedings of the International Conference on Management of Data, 2014

Crowdsourcing for Multiple-Choice Question Answering.

Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Ensemble Learning.

Yaliang Li, Jing Gao, Qi Li, Wei Fan

Proceedings of the Data Classification: Algorithms and Applications, 2014

2012

Query-Oriented Keyphrase Extraction.

Minghui Qiu, Yaliang Li, Jing Jiang

Proceedings of the Information Retrieval Technology, 2012

2011

Extracting Relation Descriptors with Conditional Random Fields.

Yaliang Li, Jing Jiang, Hai Leong Chieu, Kian Ming Adam Chai

Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011