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2020 – today
- 2024
[j33]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): 1132-1145 (2024)- [j32]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): 1269-1282 (2024) - [j31]Weirui Kuang
, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding:
When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. IEEE Trans. Knowl. Data Eng. 36(10): 5440-5452 (2024) - [j30]Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding:
Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. 36(12): 8568-8579 (2024) - [j29]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): 135:1-135:29 (2024) - [c127]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: 13748-13761 - [c126]Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu:
Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM 2024: 1038-1048 - [c125]Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou:
SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. CIKM 2024: 1920-1929 - [c124]Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou:
LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. CIKM 2024: 3463-3473 - [c123]Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen:
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. LREC/COLING 2024: 3057-3074 - [c122]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: 5174-5190 - [c121]Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong:
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. ICLR 2024 - [c120]Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding:
Improving LoRA in Privacy-preserving Federated Learning. ICLR 2024 - [c119]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. ICML 2024 - [c118]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. ICML 2024 - [c117]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. KDD 2024: 1827-1838 - [c116]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD 2024: 3345-3355 - [c115]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. KDD 2024: 4431-4442 - [c114]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: 5260-5271 - [c113]Daoyuan Chen, Yaliang Li, Bolin Ding:
Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. KDD 2024: 6414-6415 - [c112]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. SIGIR 2024: 774-784 - [c111]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: 120-134 - [c110]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: 780-791 - [i95]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 abs/2401.00158 (2024) - [i94]Yingqian Min, Kun Zhou, Dawei Gao, Wayne Xin Zhao, He Hu, Yaliang Li:
Data-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. CoRR abs/2401.03563 (2024) - [i93]Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen:
Enhancing Multimodal Large Language Models with Vision Detection Models: An Empirical Study. CoRR abs/2401.17981 (2024) - [i92]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 abs/2402.00518 (2024) - [i91]Yue Cui, Liuyi Yao, Yaliang Li, Ziqian Chen, Bolin Ding, Xiaofang Zhou:
An Auction-based Marketplace for Model Trading in Federated Learning. CoRR abs/2402.01802 (2024) - [i90]Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen:
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. CoRR abs/2402.05926 (2024) - [i89]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 abs/2402.11505 (2024) - [i88]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 abs/2402.14034 (2024) - [i87]Shen Li, Liuyi Yao, Jinyang Gao, Lan Zhang, Yaliang Li:
Double-I Watermark: Protecting Model Copyright for LLM Fine-tuning. CoRR abs/2402.14883 (2024) - [i86]Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Bolin Ding, Xiaofang Zhou:
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning. CoRR abs/2402.15247 (2024) - [i85]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 abs/2402.17564 (2024) - [i84]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 abs/2403.09559 (2024) - [i83]Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen:
ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. CoRR abs/2403.11236 (2024) - [i82]Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding:
Improving LoRA in Privacy-preserving Federated Learning. CoRR abs/2403.12313 (2024) - [i81]Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen:
Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. CoRR abs/2404.02505 (2024) - [i80]Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong:
Review of Data-centric Time Series Analysis from Sample, Feature, and Period. CoRR abs/2404.16886 (2024) - [i79]Ce Ge, Zhijian Ma, Daoyuan Chen, Yaliang Li, Bolin Ding:
Data Mixing Made Efficient: A Bivariate Scaling Law for Language Model Pretraining. CoRR abs/2405.14908 (2024) - [i78]Zhongjie Duan, Wenmeng Zhou, Cen Chen, Yaliang Li, Weining Qian:
ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. CoRR abs/2406.14130 (2024) - [i77]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR abs/2406.17706 (2024) - [i76]Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
VertiMRF: Differentially Private Vertical Federated Data Synthesis. CoRR abs/2406.19008 (2024) - [i75]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 abs/2407.08583 (2024) - [i74]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 abs/2407.11784 (2024) - [i73]Yanxi Chen, Yaliang Li, Bolin Ding, Jingren Zhou:
On the Design and Analysis of LLM-Based Algorithms. CoRR abs/2407.14788 (2024) - [i72]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 abs/2407.17789 (2024) - [i71]Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yaliang Li:
EIUP: A Training-Free Approach to Erase Non-Compliant Concepts Conditioned on Implicit Unsafe Prompts. CoRR abs/2408.01014 (2024) - [i70]Qirui Jiao, Daoyuan Chen, Yilun Huang, Yaliang Li, Ying Shen:
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. CoRR abs/2408.04594 (2024) - [i69]Fangyuan Zhao, Yuexiang Xie, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li:
Understanding Byzantine Robustness in Federated Learning with A Black-box Server. CoRR abs/2408.06042 (2024) - [i68]Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang:
Exploring Selective Layer Fine-Tuning in Federated Learning. CoRR abs/2408.15600 (2024) - [i67]Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li:
Safety Layers of Aligned Large Language Models: The Key to LLM Security. CoRR abs/2408.17003 (2024) - [i66]Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li:
Agent-Oriented Planning in Multi-Agent Systems. CoRR abs/2410.02189 (2024) - [i65]Jiakai Tang, Heyang Gao, Xuchen Pan, Lei Wang, Haoran Tan, Dawei Gao, Yushuo Chen, Xu Chen, Yankai Lin, Yaliang Li, Bolin Ding, Jingren Zhou, Jun Wang, Ji-Rong Wen:
GenSim: A General Social Simulation Platform with Large Language Model based Agents. CoRR abs/2410.04360 (2024) - [i64]Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding:
Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. CoRR abs/2410.09824 (2024) - 2023
- [j28]Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained hypergraph interest modeling for conversational recommendation. AI Open 4: 154-164 (2023) - [j27]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): 1059-1072 (2023) - [j26]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): 1958-1966 (2023) - [j25]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): 4046-4049 (2023) - [j24]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): 5047-5059 (2023) - [j23]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): 8799-8810 (2023) - [j22]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): 11541-11555 (2023) - [j21]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): 5051-5063 (2023) - [c109]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. EMNLP 2023: 3721-3735 - [c108]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) 2023: 14665-14675 - [c107]Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen:
Source-Free Unsupervised Domain Adaptation for Question Answering. ICASSP 2023: 1-5 - [c106]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c105]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. ICML 2023: 5234-5256 - [c104]Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li:
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML 2023: 35908-35948 - [c103]Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li:
Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. KDD 2023: 69-79 - [c102]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: 3829-3841 - [c101]Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. KDD 2023: 4743-4755 - [c100]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: 3680-3688 - [i63]Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng:
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. CoRR abs/2302.01677 (2023) - [i62]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 abs/2303.13363 (2023) - [i61]Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei:
LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. CoRR abs/2303.13750 (2023) - [i60]Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng:
HPN: Personalized Federated Hyperparameter Optimization. CoRR abs/2304.05195 (2023) - [i59]Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li:
Efficient Personalized Federated Learning via Sparse Model-Adaptation. CoRR abs/2305.02776 (2023) - [i58]Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR abs/2305.04798 (2023) - [i57]Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen:
Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR abs/2305.10736 (2023) - [i56]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 abs/2307.08072 (2023) - [i55]Chenxi Sun, Yaliang Li, Hongyan Li, Shenda Hong:
TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. CoRR abs/2308.08241 (2023) - [i54]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 abs/2308.15363 (2023) - [i53]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 abs/2309.00363 (2023) - [i52]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 abs/2309.02033 (2023) - [i51]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Tunable Soft Prompts are Messengers in Federated Learning. CoRR abs/2311.06805 (2023) - [i50]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 abs/2312.04916 (2023) - [i49]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 abs/2312.06353 (2023) - 2022
- [j20]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): 3098-3111 (2022) - [j19]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): 2:1-2:33 (2022) - [j18]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): 6:1-6:26 (2022) - [j17]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): 11:1-11:29 (2022) - [j16]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): 87:1-87:28 (2022) - [c99]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR 2022: 16-27 - [c98]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 - [c97]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: 509-519 - [c96]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c95]Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding:
iFlood: A Stable and Effective Regularizer. ICLR 2022 - [c94]Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding:
Finding Meta Winning Ticket to Train Your MAML. KDD 2022: 411-420 - [c93]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c92]Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding:
Graph Neural Networks with Node-wise Architecture. KDD 2022: 1949-1958 - [c91]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: 4110-4120 - [c90]Yaliang Li, Bolin Ding, Jingren Zhou:
A Practical Introduction to Federated Learning. KDD 2022: 4802-4803 - [c89]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. NeurIPS 2022 - [c88]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS 2022 - [c87]Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao:
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR 2022: 122-132 - [c86]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: 1401-1411 - [c85]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: 1301-1310 - [c84]Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang:
Explainable Neural Rule Learning. WWW 2022: 3031-3041 - [i48]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 abs/2204.05011 (2022) - [i47]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 abs/2204.05562 (2022) - [i46]Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei:
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR abs/2205.13892 (2022) - [i45]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CoRR abs/2206.02323 (2022) - [i44]Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li:
A Benchmark for Federated Hetero-Task Learning. CoRR abs/2206.03436 (2022) - [i43]Daoyuan Chen, Dawei Gao, Weirui Kuang, Yaliang Li, Bolin Ding:
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning. CoRR abs/2206.03655 (2022) - [i42]Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li:
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. CoRR abs/2206.03966 (2022) - [i41]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. CoRR abs/2206.05941 (2022) - [i40]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. CoRR abs/2207.02026 (2022) - [i39]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. CoRR abs/2210.11730 (2022) - [i38]Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li:
Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR abs/2212.05789 (2022) - 2021
- [j15]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Yaliang Li, Bolin Ding, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. Proc. VLDB Endow. 14(11): 2167-2176 (2021) - [j14]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [j13]Ying Shen, Ning Ding, Hai-Tao Zheng, Yaliang Li, Min Yang:
Modeling Relation Paths for Knowledge Graph Completion. IEEE Trans. Knowl. Data Eng. 33(11): 3607-3617 (2021) - [c83]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. AAAI 2021: 7422-7430 - [c82]Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. ACL (demo) 2021: 185-193 - [c81]Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. ACL/IJCNLP (1) 2021: 3026-3036 - [c80]Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow:
Differential Privacy for Text Analytics via Natural Text Sanitization. ACL/IJCNLP (Findings) 2021: 3853-3866 - [c79]Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM 2021: 3583-3587 - [c78]Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin:
EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CIKM 2021: 4075-4084 - [c77]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:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 2021: 4653-4664 - [c76]Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang:
AutoML: From Methodology to Application. CIKM 2021: 4853-4856 - [c75]Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. EMNLP (Findings) 2021: 100-110 - [c74]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) 2021: 3126-3136 - [c73]Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li:
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. EMNLP (1) 2021: 5151-5161 - [c72]Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen:
Wasserstein Selective Transfer Learning for Cross-domain Text Mining. EMNLP (1) 2021: 9772-9783 - [c71]Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao:
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD 2021: 2154-2164 - [c70]Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen:
Debiasing Learning based Cross-domain Recommendation. KDD 2021: 3190-3199 - [c69]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD 2021: 3795-3805 - [c68]Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang:
AutoML: A Perspective where Industry Meets Academy. KDD 2021: 4048-4049 - [c67]Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen:
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) 2021: 196-209 - [c66]Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. SIGIR 2021: 1431-1441 - [c65]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. SIGIR 2021: 2096-2100 - [i37]Yaliang Li, Daoyuan Chen, Bolin Ding, Kai Zeng, Jingren Zhou:
A Pluggable Learned Index Method via Sampling and Gap Insertion. CoRR abs/2101.00808 (2021) - [i36]Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System. CoRR abs/2101.00939 (2021) - [i35]Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen:
Learning to Augment for Data-Scarce Domain BERT Knowledge Distillation. CoRR abs/2101.08106 (2021) - [i34]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge. CoRR abs/2104.05216 (2021) - [i33]Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CoRR abs/2105.02418 (2021) - [i32]Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam:
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. CoRR abs/2105.09710 (2021) - [i31]Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow:
Differential Privacy for Text Analytics via Natural Text Sanitization. CoRR abs/2106.01221 (2021) - [i30]Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li:
Automated Graph Learning via Population Based Self-Tuning GCN. CoRR abs/2107.04713 (2021) - [i29]Yang Li, Yu Shen, Wentao Zhang, Jiawei Jiang, Bolin Ding, Yaliang Li, Jingren Zhou, Zhi Yang, Wentao Wu, Ce Zhang, Bin Cui:
VolcanoML: Speeding up End-to-End AutoML via Scalable Search Space Decomposition. CoRR abs/2107.08861 (2021) - [i28]Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding:
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. CoRR abs/2108.13134 (2021) - [i27]Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu:
HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR abs/2110.08551 (2021) - [i26]Yang Deng, Yaliang Li, Wenxuan Zhang, Bolin Ding, Wai Lam:
Towards Personalized Answer Generation in E-Commerce via Multi-Perspective Preference Modeling. CoRR abs/2112.13556 (2021) - 2020
- [j12]Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu:
Extracting Medical Knowledge from Crowdsourced Question Answering Website. IEEE Trans. Big Data 6(2): 309-321 (2020) - [j11]Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Learning Distance Metrics from Probabilistic Information. ACM Trans. Knowl. Discov. Data 14(5): 53:1-53:33 (2020) - [c64]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. AAAI 2020: 7651-7658 - [c63]Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan:
On the Generation of Medical Question-Answer Pairs. AAAI 2020: 8822-8829 - [c62]Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei:
Attentive User-Engaged Adversarial Neural Network for Community Question Answering. AAAI 2020: 9322-9329 - [c61]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. ACL 2020: 5940-5950 - [c60]Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen:
An Adaptive Embedding Framework for Heterogeneous Information Networks. CIKM 2020: 165-174 - [c59]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. ICDCS 2020: 1156-1166 - [c58]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. ICLR 2020 - [c57]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. ICML 2020: 1725-1735 - [c56]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Entity Synonym Discovery via Multipiece Bilateral Context Matching. IJCAI 2020: 1431-1437 - [c55]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI 2020: 2463-2469 - [c54]Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao:
Causal Inference Meets Machine Learning. KDD 2020: 3527-3528 - [c53]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. NeurIPS 2020 - [c52]Zhiqiang Tao, Yaliang Li, Bolin Ding, Ce Zhang, Jingren Zhou, Yun Fu:
Learning to Mutate with Hypergradient Guided Population. NeurIPS 2020 - [c51]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. SIGIR 2020: 89-98 - [c50]Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen:
Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. SIGIR 2020: 1693-1696 - [c49]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. WWW 2020: 2458-2464 - [i25]Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li:
Automated Relational Meta-learning. CoRR abs/2001.00745 (2020) - [i24]Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou:
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR abs/2001.04246 (2020) - [i23]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. CoRR abs/2002.02770 (2020) - [i22]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. CoRR abs/2004.03728 (2020) - [i21]Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen:
Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. CoRR abs/2004.09930 (2020) - [i20]Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen:
Sequential Recommendation with Self-Attentive Multi-Adversarial Network. CoRR abs/2005.10602 (2020) - [i19]Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li:
Simple and Deep Graph Convolutional Networks. CoRR abs/2007.02133 (2020) - [i18]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR abs/2007.14573 (2020) - [i17]Ming Chen, Zhewei Wei, Bolin Ding, Yaliang Li, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Scalable Graph Neural Networks via Bidirectional Propagation. CoRR abs/2010.15421 (2020) - [i16]Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen:
RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR abs/2011.01731 (2020) - [i15]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:
EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. CoRR abs/2011.09463 (2020) - [i14]Haojie Pan, Chengyu Wang, Minghui Qiu, Yichang Zhang, Yaliang Li, Jun Huang:
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains. CoRR abs/2012.01266 (2020)
2010 – 2019
- 2019
- [j10]Ying Shen, Yaliang Li, Hai-Tao Zheng, Buzhou Tang, Min Yang:
Enhancing ontology-driven diagnostic reasoning with a symptom-dependency-aware Naïve Bayes classifier. BMC Bioinform. 20(1): 330:1-330:14 (2019) - [j9]Ying Shen, Kaiqi Yuan, Min Yang, Buzhou Tang, Yaliang Li, Nan Du, Kai Lei:
KMR: knowledge-oriented medicine representation learning for drug-drug interaction and similarity computation. J. Cheminformatics 11(1): 22:1-22:16 (2019) - [j8]Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren:
Privacy-Preserving Truth Discovery in Crowd Sensing Systems. ACM Trans. Sens. Networks 15(1): 9:1-9:32 (2019) - [c48]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. AAAI 2019: 6318-6325 - [c47]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-grained Named Entity Recognition. ACL (1) 2019: 1430-1440 - [c46]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. ACL (1) 2019: 5259-5267 - [c45]Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei:
MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data. CIKM 2019: 719-728 - [c44]Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen:
Knowledge-aware Textual Entailment with Graph Attention Network. CIKM 2019: 2145-2148 - [c43]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM 2019: 1432-1437 - [c42]Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. IJCAI 2019: 4106-4113 - [c41]Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Data Poisoning Attack against Knowledge Graph Embedding. IJCAI 2019: 4853-4859 - [c40]Bo Wang, Minghui Qiu, Xisen Wang, Yaliang Li, Yu Gong, Xiaoyi Zeng, Jun Huang, Bo Zheng, Deng Cai, Jingren Zhou:
A Minimax Game for Instance based Selective Transfer Learning. KDD 2019: 34-43 - [c39]Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li:
Deep Skip-Gram Networks for Text Classification. SDM 2019: 145-153 - [c38]Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. SDM 2019: 486-494 - [c37]Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang:
Path-based Attribute-aware Representation Learning for Relation Prediction. SDM 2019: 639-647 - [c36]Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen:
Answer-enhanced Path-aware Relation Detection over Knowledge Base. SIGIR 2019: 1021-1024 - [c35]Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan:
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW 2019: 3041-3048 - [i13]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
SynonymNet: Multi-context Bilateral Matching for Entity Synonyms. CoRR abs/1901.00056 (2019) - [i12]Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Towards Data Poisoning Attack against Knowledge Graph Embedding. CoRR abs/1904.12052 (2019) - [i11]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-Grained Named Entity Recognition. CoRR abs/1906.08449 (2019) - [i10]Yang Deng, Wai Lam, Yuexiang Xie, Daoyuan Chen, Yaliang Li, Min Yang, Ying Shen:
Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering. CoRR abs/1911.09801 (2019) - 2018
- [j7]Ying Shen, Yaliang Li, Yang Deng, Jin Zhang, Min Yang, Jinsong Chen, Shangchun Si, Kai Lei:
Gastroenterology Ontology Construction Using Synonym Identification and Relation Extraction. IEEE Access 6: 52095-52104 (2018) - [j6]Ying Shen, Kaiqi Yuan, Daoyuan Chen, Joël Colloc, Min Yang, Yaliang Li, Kai Lei:
An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription. Artif. Intell. Medicine 86: 20-32 (2018) - [j5]Ying Shen, Lizhu Zhang, Jin Zhang, Min Yang, Buzhou Tang, Yaliang Li, Kai Lei:
CBN: Constructing a clinical Bayesian network based on data from the electronic medical record. J. Biomed. Informatics 88: 1-10 (2018) - [c34]Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su:
Leveraging the Power of Informative Users for Local Event Detection. ASONAM 2018: 429-436 - [c33]Ying Shen, Kaiqi Yuan, Yaliang Li, Buzhou Tang, Min Yang, Nan Du, Kai Lei:
Drug2Vec: Knowledge-aware Feature-driven Method for Drug Representation Learning. BIBM 2018: 757-800 - [c32]Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen:
Cooperative Denoising for Distantly Supervised Relation Extraction. COLING 2018: 426-436 - [c31]Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge. COLING 2018: 3295-3305 - [c30]Ying Shen, Yang Deng, Jin Zhang, Yaliang Li, Nan Du, Wei Fan, Min Yang, Kai Lei:
IDDAT: An Ontology-Driven Decision Support System for Infectious Disease Diagnosis and Therapy. ICDM Workshops 2018: 1417-1422 - [c29]Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang:
Metric Learning from Probabilistic Labels. KDD 2018: 1541-1550 - [c28]Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren:
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. KDD 2018: 1705-1714 - [c27]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
On the Generative Discovery of Structured Medical Knowledge. KDD 2018: 2720-2728 - [c26]Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su:
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. KDD 2018: 2729-2737 - [c25]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c24]Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang:
Online Truth Discovery on Time Series Data. SDM 2018: 162-170 - [c23]Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang:
Uncorrelated Patient Similarity Learning. SDM 2018: 270-278 - [c22]Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei:
Ontology Evaluation with Path-based Text-aware Entropy Computation. SIGIR 2018: 881-884 - [c21]Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei:
Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. SIGIR 2018: 901-904 - [i9]Yang Deng, Yaliang Li, Nan Du, Wei Fan, Ying Shen, Kai Lei:
When Truth Discovery Meets Medical Knowledge Graph: Estimating Trustworthiness Degree for Medical Knowledge Condition. CoRR abs/1809.10404 (2018) - [i8]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. CoRR abs/1810.04760 (2018) - [i7]Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan:
Finding Similar Medical Questions from Question Answering Websites. CoRR abs/1810.05983 (2018) - [i6]Sheng Shen, Yaliang Li, Nan Du, Xian Wu, Yusheng Xie, Shen Ge, Tao Yang, Kai Wang, Xingzheng Liang, Wei Fan:
On the Generation of Medical Question-Answer Pairs. CoRR abs/1811.00681 (2018) - [i5]Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen:
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering. CoRR abs/1812.02354 (2018) - [i4]Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu:
Joint Slot Filling and Intent Detection via Capsule Neural Networks. CoRR abs/1812.09471 (2018) - 2017
- [j4]Yaliang Li, Jing Gao, Patrick P. C. Lee, Lu Su, Caifeng He, Cheng He, Fan Yang, Wei Fan:
A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks. IEEE Trans. Mob. Comput. 16(2): 300-313 (2017) - [c20]Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu:
Bringing semantic structures to user intent detection in online medical queries. IEEE BigData 2017: 1019-1026 - [c19]Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang:
Generating Medical Hypotheses Based on Evolutionary Medical Concepts. ICDM 2017: 535-544 - [c18]Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang:
A Correlated Topic Model Using Word Embeddings. IJCAI 2017: 4207-4213 - [c17]Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, Miaomiao Tian:
A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems. INFOCOM 2017: 1-9 - [c16]Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang:
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. KDD 2017: 535-543 - [c15]Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun:
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. WSDM 2017: 253-261 - [i3]Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu:
Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR abs/1710.08015 (2017) - 2016
- [j3]Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Trans. Knowl. Data Eng. 28(8): 1986-1999 (2016) - [c14]Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. CIKM 2016: 851-860 - [c13]Sheng Li, Yaliang Li, Yun Fu:
Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. CIKM 2016: 989-998 - [c12]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CIKM 2016: 2251-2256 - [c11]Chaochun Liu, Huan Sun, Nan Du, Shulong Tan, Hongliang Fei, Wei Fan, Tao Yang, Hao Wu, Yaliang Li, Chenwei Zhang:
Augmented LSTM Framework to Construct Medical Self-Diagnosis Android. ICDM 2016: 251-260 - [c10]Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang:
Topic Discovery for Short Texts Using Word Embeddings. ICDM 2016: 1299-1304 - [i2]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CoRR abs/1608.03344 (2016) - 2015
- [j2]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. SIGKDD Explor. 17(2): 1-16 (2015) - [c9]Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
On the Discovery of Evolving Truth. KDD 2015: 675-684 - [c8]Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD 2015: 745-754 - [c7]Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga:
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. SDM 2015: 397-405 - [c6]Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng:
Truth Discovery on Crowd Sensing of Correlated Entities. SenSys 2015: 169-182 - [c5]Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren:
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. SenSys 2015: 183-196 - [i1]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. CoRR abs/1505.02463 (2015) - 2014
- [j1]Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han:
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. Proc. VLDB Endow. 8(4): 425-436 (2014) - [c4]Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas:
Crowdsourcing for Multiple-Choice Question Answering. AAAI 2014: 2946-2953 - [c3]Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han:
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. SIGMOD Conference 2014: 1187-1198 - [p1]Yaliang Li, Jing Gao, Qi Li, Wei Fan:
Ensemble Learning. Data Classification: Algorithms and Applications 2014: 483-510 - 2012
- [c2]Minghui Qiu, Yaliang Li, Jing Jiang:
Query-Oriented Keyphrase Extraction. AIRS 2012: 64-75 - 2011
- [c1]Yaliang Li, Jing Jiang, Hai Leong Chieu, Kian Ming Adam Chai:
Extracting Relation Descriptors with Conditional Random Fields. IJCNLP 2011: 392-400
Coauthor Index
[j33] [j32] [j31] [j30] [c126] [c122] [c120] [c119] [c118] [c116] [c115] [c114] [c113] [c111] [c110] [i92] [i91] [i88] [i86] [i82] [i79] [i77] [i76] [i75] [i74] [i73] [i72] [i69] [i68] [i66] [i65] [i64] [j27] [j26] [j25] [j24] [j22] [c108] [c106] [c105] [c104] [c102] [c101] [c100] [i63] [i62] [i59] [i56] [i54] [i53] [i52] [i51] [i50] [i49] [j17] [j16] [c99] [c97] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [c88] [c86] [c85] [c84] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i41] [i38] [j15] [c76] [c75] [c70] [c69] [c68] [c66] [i37] [i32] [i29] [i28] [i26] [c60] [c59] [c58] [c57] [c55] [c53] [c52] [c51] [c49] [i25] [i24] [i22] [i20] [i19] [i18] [i17] [c28] [i8]
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