Yaliang Li
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
139
Venues
26
Active years
2011–2026
Best venue rank
A*
Where they publish
- A*KDD26 papers
- A*ACL14 papers
- ACIKM14 papers
- A*SIGIR10 papers
- A*EMNLP8 papers
- A*ICLR8 papers
- A*AAAI7 papers
- A*WWW7 papers
- A*ICML6 papers
- A*IJCAI6 papers
- A*ICDM6 papers
- ASDM6 papers
- BCOLING4 papers
- A*ICDE2 papers
- ANAACL2 papers
- A*SIGMOD2 papers
- UnrankedSENSYS2 papers
- AEACL1 paper
- A*CVPR1 paper
- BISIT1 paper
- MulticonferenceICASSP1 paper
- ACIDR1 paper
- AICDCS1 paper
- A*INFOCOM1 paper
- AWSDM1 paper
- BIJCNLP1 paper
Papers
139 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Automated Profile Inference with Language Model Agents. | Yuntao Du, Zitao Li, Bolin Ding, Yaliang Li, Hanshen Xiao, Jingren Zhou, Ninghui Li |
| 2026 | ACL | Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory. | Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury |
| 2026 | ACL | Retrieval Heads are Dynamic. | Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang |
| 2026 | ACL | Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents. | Yi Yu, Liuyi Yao, Yuexiang Xie, Qingquan Tan, Jiaqi Feng, Yaliang Li, Libing Wu |
| 2026 | EACL | Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation. | Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low |
| 2026 | ICDE | Accurate Table Question Answering with Accessible LLMs. | Yangfan Jiang, Fei Wei, Ergute Bao, Yaliang Li, Bolin Ding, Yin Yang, Xiaokui Xiao |
| 2025 | AAAI | Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers. | Xinyu Tang, Xiaolei Wang, Wayne Xin Zhao, Siyuan Lu, Yaliang Li, Ji-Rong Wen |
| 2025 | ACL | Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists. | Yue Cui, Liuyi Yao, Shuchang Tao, Weijie Shi, Yaliang Li, Bolin Ding, Xiaofang Zhou |
| 2025 | ACL | LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. | Jiarui Ji, Runlin Lei, Jialing Bi, Zhewei Wei, Xu Chen, Yankai Lin, Xuchen Pan, Yaliang Li, Bolin Ding |
| 2025 | ACL | Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment. | Delong Zeng, Yuexiang Xie, Yaliang Li, Ying Shen |
| 2025 | CVPR | Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models. | Qirui Jiao, Daoyuan Chen, Yilun Huang, Bolin Ding, Yaliang Li, Ying Shen |
| 2025 | EMNLP | Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective. | Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding |
| 2025 | EMNLP | ViFT: Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models. | Zikang Liu, Kun Zhou, Wayne Xin Zhao, Dawei Gao, Yaliang Li, Ji-Rong Wen |
| 2025 | ICDE | A Bargaining-Based Approach for Feature Trading in Vertical Federated Learning. | Yue Cui, Liuyi Yao, Zitao Li, Yaliang Li, Keqin Zhong, Bingyi Liu, Bolin Ding, Xiaofang Zhou |
| 2025 | ICLR | Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models. | Die Chen, Zhiwen Li, Mingyuan Fan, Cen Chen, Wenmeng Zhou, Yanhao Wang, Yaliang Li |
| 2025 | ICLR | Agent-Oriented Planning in Multi-Agent Systems. | Ao Li, Yuexiang Xie, Songze Li, Fugee Tsung, Bolin Ding, Yaliang Li |
| 2025 | ICLR | Safety Layers in Aligned Large Language Models: The Key to LLM Security. | Shen Li, Liuyi Yao, Lan Zhang, Yaliang Li |
| 2025 | ICML | Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development. | Daoyuan Chen, Haibin Wang, Yilun Huang, Ce Ge, Yaliang Li, Bolin Ding, Jingren Zhou |
| 2025 | IJCAI | ExVideo: Extending Video Diffusion Models via Parameter-Efficient Post-Tuning. | Zhongjie Duan, Hong Zhang, Wenmeng Zhou, Cen Chen, Yaliang Li, Yu Zhang, Yingda Chen |
| 2025 | ISIT | Exploring Selective Layer Fine-Tuning in Federated Learning. | Yuchang Sun, Yuexiang Xie, Bolin Ding, Yaliang Li, Jun Zhang |
| 2025 | NAACL | GenSim: A General Social Simulation Platform with Large Language Model based Agents. | 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 |
| 2025 | NAACL | Knowledge Graph-Guided Retrieval Augmented Generation. | Xiangrong Zhu, Yuexiang Xie, Yi Liu, Yaliang Li, Wei Hu |
| 2025 | WWW | Responsible Diffusion Models via Constraining Text Embeddings within Safe Regions. | Zhiwen Li, Die Chen, Mingyuan Fan, Cen Chen, Yaliang Li, Yanhao Wang, Wenmeng Zhou |
| 2024 | ACL | DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning. | Yingqian Min, Kun Zhou, Dawei Gao, Xin Zhao, He Hu, Yaliang Li |
| 2024 | CIKM | Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. | Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu |
| 2024 | CIKM | SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. | Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou |
| 2024 | CIKM | LST2A: Lexical-Syntactic Targeted Adversarial Attack for Texts. | Guanghao Zhou, Panjia Qiu, Mingyuan Fan, Cen Chen, Yaliang Li, Wenmeng Zhou |
| 2024 | COLING | ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization. | Mengsha Liu, Daoyuan Chen, Yaliang Li, Guian Fang, Ying Shen |
| 2024 | COLING | 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 |
| 2024 | ICLR | TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. | Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong |
| 2024 | ICLR | Improving LoRA in Privacy-preserving Federated Learning. | Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding |
| 2024 | ICML | 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 |
| 2024 | ICML | 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 |
| 2024 | KDD | Multi-modal Data Processing for Foundation Models: Practical Guidances and Use Cases. | Daoyuan Chen, Yaliang Li, Bolin Ding |
| 2024 | KDD | 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 |
| 2024 | KDD | On the Convergence of Zeroth-Order Federated Tuning for Large Language Models. | Zhenqing Ling, Daoyuan Chen, Liuyi Yao, Yaliang Li, Ying Shen |
| 2024 | KDD | FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. | Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao |
| 2024 | KDD | VertiMRF: Differentially Private Vertical Federated Data Synthesis. | Fangyuan Zhao, Zitao Li, Xuebin Ren, Bolin Ding, Shusen Yang, Yaliang Li |
| 2024 | WWW | Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. | Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei |
| 2024 | SIGIR | Dynamic Demonstration Retrieval and Cognitive Understanding for Emotional Support Conversation. | Zhe Xu, Daoyuan Chen, Jiayi Kuang, Zihao Yi, Yaliang Li, Ying Shen |
| 2024 | SIGMOD | 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 |
| 2023 | EMNLP | Tunable Soft Prompts are Messengers in Federated Learning. | Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li |
| 2023 | EMNLP | 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 |
| 2023 | ICASSP | Source-Free Unsupervised Domain Adaptation for Question Answering. | Zishuo Zhao, Yuexiang Xie, Jingyou Xie, Zhenzhou Lin, Yaliang Li, Ying Shen |
| 2023 | ICLR | Learned Index with Dynamic $\epsilon$. | Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou |
| 2023 | ICML | Efficient Personalized Federated Learning via Sparse Model-Adaptation. | Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li |
| 2023 | ICML | FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. | Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li |
| 2023 | KDD | Communication Efficient and Differentially Private Logistic Regression under the Distributed Setting. | Ergute Bao, Dawei Gao, Xiaokui Xiao, Yaliang Li |
| 2023 | KDD | 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 |
| 2023 | KDD | Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks. | Zeyu Qin, Liuyi Yao, Daoyuan Chen, Yaliang Li, Bolin Ding, Minhao Cheng |
| 2023 | WWW | Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. | Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao |
| 2022 | CIDR | 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 |
| 2022 | CIKM | 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 |
| 2022 | ICDM | Privacy-Preserved Neural Graph Similarity Learning. | Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen |
| 2022 | ICLR | iFlood: A Stable and Effective Regularizer. | Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding |
| 2022 | KDD | Finding Meta Winning Ticket to Train Your MAML. | Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding |
| 2022 | KDD | Towards Universal Sequence Representation Learning for Recommender Systems. | Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen |
| 2022 | KDD | A Practical Introduction to Federated Learning. | Yaliang Li, Bolin Ding, Jingren Zhou |
| 2022 | KDD | 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 |
| 2022 | KDD | Graph Neural Networks with Node-wise Architecture. | Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding |
| 2022 | WWW | Explainable Neural Rule Learning. | Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang |
| 2022 | WWW | KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. | Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han |
| 2022 | SIGIR | Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. | Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen |
| 2022 | SIGIR | Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. | Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao |
| 2021 | AAAI | Learning to Augment for Data-scarce Domain BERT Knowledge Distillation. | Lingyun Feng, Minghui Qiu, Yaliang Li, Hai-Tao Zheng, Ying Shen |
| 2021 | ACL | 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 |
| 2021 | ACL | Differential Privacy for Text Analytics via Natural Text Sanitization. | Xiang Yue, Minxin Du, Tianhao Wang, Yaliang Li, Huan Sun, Sherman S. M. Chow |
| 2021 | ACL | 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 |
| 2021 | CIKM | AutoML: From Methodology to Application. | Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang |
| 2021 | CIKM | 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 |
| 2021 | CIKM | SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. | Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2021 | CIKM | 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 |
| 2021 | EMNLP | HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. | Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu |
| 2021 | EMNLP | Wasserstein Selective Transfer Learning for Cross-domain Text Mining. | Lingyun Feng, Minghui Qiu, Yaliang Li, Haitao Zheng, Ying Shen |
| 2021 | EMNLP | Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation. | Yuexiang Xie, Fei Sun, Yang Deng, Yaliang Li, Bolin Ding |
| 2021 | EMNLP | Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. | Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li |
| 2021 | KDD | AutoML: A Perspective where Industry Meets Academy. | Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang |
| 2021 | KDD | Debiasing Learning based Cross-domain Recommendation. | Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding, Ji-Rong Wen |
| 2021 | KDD | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | KDD | 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 |
| 2021 | SIGIR | Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning. | Yang Deng, Yaliang Li, Fei Sun, Bolin Ding, Wai Lam |
| 2021 | SIGIR | Automated Graph Learning via Population Based Self-Tuning GCN. | Ronghang Zhu, Zhiqiang Tao, Yaliang Li, Sheng Li |
| 2020 | AAAI | 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 |
| 2020 | AAAI | 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 |
| 2020 | AAAI | Attentive User-Engaged Adversarial Neural Network for Community Question Answering. | Yuexiang Xie, Ying Shen, Yaliang Li, Min Yang, Kai Lei |
| 2020 | ACL | Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents. | Daoyuan Chen, Yaliang Li, Kai Lei, Ying Shen |
| 2020 | CIKM | An Adaptive Embedding Framework for Heterogeneous Information Networks. | Daoyuan Chen, Yaliang Li, Bolin Ding, Ying Shen |
| 2020 | ICDCS | 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 |
| 2020 | ICLR | Automated Relational Meta-learning. | Huaxiu Yao, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li |
| 2020 | ICML | Simple and Deep Graph Convolutional Networks. | Ming Chen, Zhewei Wei, Zengfeng Huang, Bolin Ding, Yaliang Li |
| 2020 | IJCAI | 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 |
| 2020 | IJCAI | Entity Synonym Discovery via Multipiece Bilateral Context Matching. | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2020 | KDD | Causal Inference Meets Machine Learning. | Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao |
| 2020 | WWW | Practical Data Poisoning Attack against Next-Item Recommendation. | Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao |
| 2020 | SIGIR | Bridging Hierarchical and Sequential Context Modeling for Question-driven Extractive Answer Summarization. | Yang Deng, Wenxuan Zhang, Yaliang Li, Min Yang, Wai Lam, Ying Shen |
| 2020 | SIGIR | Sequential Recommendation with Self-Attentive Multi-Adversarial Network. | Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen |
| 2019 | AAAI | 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 |
| 2019 | ACL | Multi-grained Named Entity Recognition. | Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu |
| 2019 | ACL | Joint Slot Filling and Intent Detection via Capsule Neural Networks. | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2019 | CIKM | Knowledge-aware Textual Entailment with Graph Attention Network. | Daoyuan Chen, Yaliang Li, Min Yang, Hai-Tao Zheng, Ying Shen |
| 2019 | CIKM | 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 |
| 2019 | ICDM | ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. | Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | On the Estimation of Treatment Effect with Text Covariates. | Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang |
| 2019 | IJCAI | Data Poisoning Attack against Knowledge Graph Embedding. | Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren |
| 2019 | KDD | 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 |
| 2019 | WWW | MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. | Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan |
| 2019 | SIGIR | Answer-enhanced Path-aware Relation Detection over Knowledge Base. | Daoyuan Chen, Min Yang, Hai-Tao Zheng, Yaliang Li, Ying Shen |
| 2019 | SDM | Deep Skip-Gram Networks for Text Classification. | Chaochun Liu, Yaliang Li, Hongliang Fei, Ping Li |
| 2019 | SDM | Path-based Attribute-aware Representation Learning for Relation Prediction. | Ying Shen, Desi Wen, Yaliang Li, Nan Du, Haitao Zheng, Min Yang |
| 2019 | SDM | DTEC: Distance Transformation Based Early Time Series Classification. | Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang |
| 2018 | COLING | 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 |
| 2018 | COLING | Cooperative Denoising for Distantly Supervised Relation Extraction. | Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen |
| 2018 | ICDM | 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 |
| 2018 | KDD | Metric Learning from Probabilistic Labels. | Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, Aidong Zhang |
| 2018 | KDD | 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 |
| 2018 | KDD | On the Generative Discovery of Structured Medical Knowledge. | Chenwei Zhang, Yaliang Li, Nan Du, Wei Fan, Philip S. Yu |
| 2018 | KDD | TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. | Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su |
| 2018 | SIGIR | Ontology Evaluation with Path-based Text-aware Entropy Computation. | Ying Shen, Daoyuan Chen, Min Yang, Yaliang Li, Nan Du, Kai Lei |
| 2018 | SIGIR | Knowledge-aware Attentive Neural Network for Ranking Question Answer Pairs. | Ying Shen, Yang Deng, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei |
| 2018 | SDM | Uncorrelated Patient Similarity Learning. | Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang |
| 2018 | SDM | Online Truth Discovery on Time Series Data. | Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang |
| 2017 | ICDM | Generating Medical Hypotheses Based on Evolutionary Medical Concepts. | Guangxu Xun, Kishlay Jha, Vishrawas Gopalakrishnan, Yaliang Li, Aidong Zhang |
| 2017 | IJCAI | A Correlated Topic Model Using Word Embeddings. | Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang |
| 2017 | INFOCOM | A lightweight privacy-preserving truth discovery framework for mobile crowd sensing systems. | Chenglin Miao, Lu Su, Wenjun Jiang, Yaliang Li, Miaomiao Tian |
| 2017 | KDD | Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. | Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang |
| 2017 | WSDM | 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 |
| 2016 | CIKM | Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. | Sheng Li, Yaliang Li, Yun Fu |
| 2016 | CIKM | Influence-Aware Truth Discovery. | Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su |
| 2016 | CIKM | Multi-source Hierarchical Prediction Consolidation. | Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu |
| 2016 | ICDM | 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 |
| 2016 | ICDM | Topic Discovery for Short Texts Using Word Embeddings. | Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang |
| 2015 | KDD | On the Discovery of Evolving Truth. | Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han |
| 2015 | KDD | 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 |
| 2015 | SENSYS | Truth Discovery on Crowd Sensing of Correlated Entities. | Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng |
| 2015 | SENSYS | 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 |
| 2015 | SDM | 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 |
| 2014 | AAAI | Crowdsourcing for Multiple-Choice Question Answering. | Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas |
| 2014 | SIGMOD | Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. | Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han |
| 2011 | IJCNLP | Extracting Relation Descriptors with Conditional Random Fields. | Yaliang Li, Jing Jiang, Hai Leong Chieu, Kian Ming Adam Chai |