Yanchi Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
84
Venues
24
Active years
2008–2026
Best venue rank
A*
Where they publish
- BDASFAA12 papers
- A*AAAI9 papers
- A*ICDM8 papers
- A*KDD8 papers
- A*IJCAI6 papers
- A*ACL5 papers
- ANAACL4 papers
- A*SIGIR4 papers
- AEACL3 papers
- A*EMNLP3 papers
- ACIKM3 papers
- A*WWW3 papers
- A*ICLR2 papers
- AWSDM2 papers
- A*ICDE2 papers
- BIJCNN2 papers
- BCOMPSAC1 paper
- MulticonferenceICASSP1 paper
- NationalHCI1 paper
- A*VLDB1 paper
- A*ICML1 paper
- BWISE1 paper
- CKSEM1 paper
- NationalICNC1 paper
Papers
84 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs. | Xuyuan Liu, Shengyu Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Haoyu Wang, Yujun Yan, Haifeng Chen, Zhengzhang Chen |
| 2026 | ACL | Uncertainty-Aware Test-Time Search for Optimization Problem Solving. | Linlin Yu, Xujiang Zhao, Dong Li, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Chen Zhao, Feng Chen, Haifeng Chen |
| 2026 | EACL | DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. | Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng |
| 2026 | EACL | Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. | Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen |
| 2026 | EACL | Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. | Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2025 | AAAI | Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model. | Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen |
| 2025 | ACL | Uncertainty Propagation on LLM Agent. | Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao |
| 2025 | COMPSAC | A-CLAPS: Automatic Correction of Language and Pronunciation Errors in Slide-based Presentations. | Yuan Li, Yanchi Liu, Yijun Zhao |
| 2025 | ICASSP | TSLA: A Multi-Task Time Series Language Model. | Liri Fang, Yuncong Chen, Wenchao Yu, Yanchi Liu, Lu-An Tang, Vetle I. Torvik, Haifeng Chen |
| 2025 | ICDM | Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection. | Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa |
| 2025 | ICLR | SFS: Smarter Code Space Search improves LLM Inference Scaling. | Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng |
| 2025 | NAACL | MixLLM: Dynamic Routing in Mixed Large Language Models. | Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2024 | ACL | Distantly-Supervised Joint Extraction with Noise-Robust Learning. | Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu |
| 2024 | EMNLP | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. | Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | EMNLP | Large Language Models Can Be Contextual Privacy Protection Learners. | Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng |
| 2024 | HCI | A Study of the Effects of Different Semantic Distance Icons on Drivers' Cognitive Load in Automotive Human-Machine Interface. | Yanchi Liu, Wanrong Han, Dihui Chu, Jianrun Zhang |
| 2024 | NAACL | Uncertainty Quantification for In-Context Learning of Large Language Models. | Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen |
| 2024 | NAACL | Pruning as a Domain-specific LLM Extractor. | Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen |
| 2024 | VLDB | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. | Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | WSDM | Interpretable Imitation Learning with Dynamic Causal Relations. | Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2023 | AAAI | Time Series Contrastive Learning with Information-Aware Augmentations. | Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2023 | ACL | Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. | Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu |
| 2023 | EMNLP | Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. | Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao |
| 2023 | ICDE | Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. | Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou |
| 2023 | ICML | Personalized Federated Learning under Mixture of Distributions. | Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng |
| 2023 | IJCAI | Sequential Recommendation with Probabilistic Logical Reasoning. | Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao |
| 2023 | KDD | Incremental Causal Graph Learning for Online Root Cause Analysis. | Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen |
| 2023 | KDD | Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. | Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2023 | SIGIR | Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. | Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2023 | SIGIR | Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. | Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng |
| 2023 | SIGIR | Meta-optimized Contrastive Learning for Sequential Recommendation. | Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2022 | AAAI | Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. | Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi |
| 2022 | CIKM | Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. | Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao |
| 2022 | IJCNN | Quaternion-Based Graph Contrastive Learning for Recommendation. | Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2022 | IJCNN | Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. | Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2022 | KDD | CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. | Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong |
| 2021 | AAAI | Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. | Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson |
| 2021 | CIKM | Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. | Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen |
| 2021 | DASFAA | Tell Me Where to Go Next: Improving POI Recommendation via Conversation. | Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Knowledge-Aware Hypergraph Neural Network for Recommender Systems. | Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Learning Disentangled User Representation Based on Controllable VAE for Recommendation. | Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Considering Interaction Sequence of Historical Items for Conversational Recommender System. | Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng |
| 2021 | ICDE | Variational Self-attention Network for Sequential Recommendation. | Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou |
| 2021 | KDD | Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. | Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen |
| 2021 | NAACL | Unsupervised Concept Representation Learning for Length-Varying Text Similarity. | Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen |
| 2021 | WWW | Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. | Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong |
| 2021 | WISE | MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. | Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng |
| 2020 | AAAI | Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. | Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo |
| 2020 | AAAI | Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. | Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang |
| 2020 | AAAI | Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. | Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong |
| 2020 | DASFAA | Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. | Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao |
| 2020 | DASFAA | Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. | Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang |
| 2020 | DASFAA | Cross-Domain Recommendation with Adversarial Examples. | Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng |
| 2020 | DASFAA | Hierarchical Variational Attention for Sequential Recommendation. | Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao |
| 2020 | ICDM | T | Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong |
| 2020 | ICLR | Inductive and Unsupervised Representation Learning on Graph Structured Objects. | Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu |
| 2020 | IJCAI | Collaborative Self-Attention Network for Session-based Recommendation. | Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng |
| 2020 | WWW | Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. | Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong |
| 2020 | SIGIR | Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. | Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong |
| 2020 | WSDM | Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. | Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong |
| 2019 | AAAI | Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. | Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He |
| 2019 | AAAI | Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. | Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou |
| 2019 | CIKM | Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. | Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong |
| 2019 | DASFAA | Attention and Convolution Enhanced Memory Network for Sequential Recommendation. | Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2019 | DASFAA | Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. | Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2019 | DASFAA | AdaCML: Adaptive Collaborative Metric Learning for Recommendation. | Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2019 | IJCAI | Graph Contextualized Self-Attention Network for Session-based Recommendation. | Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou |
| 2019 | IJCAI | Feature-level Deeper Self-Attention Network for Sequential Recommendation. | Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou |
| 2019 | WWW | Recurrent Convolutional Neural Network for Sequential Recommendation. | Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong |
| 2018 | IJCAI | Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. | Yanchi Liu, Tan Yan, Haifeng Chen |
| 2018 | IJCAI | Sequential Recommender System based on Hierarchical Attention Networks. | Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu |
| 2017 | ICDM | Exploiting Hierarchical Structures for POI Recommendation. | Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong |
| 2017 | KDD | Point-of-Interest Demand Modeling with Human Mobility Patterns. | Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong |
| 2017 | KDD | Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion. | Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong |
| 2016 | DASFAA | Exploiting Human Mobility Patterns for Gas Station Site Selection. | Hongting Niu, Junming Liu, Yanjie Fu, Yanchi Liu, Bo Lang |
| 2016 | ICDM | POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. | Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong |
| 2016 | KDD | Unified Point-of-Interest Recommendation with Temporal Interval Assessment. | Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong |
| 2014 | ICDM | Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. | Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan |
| 2014 | ICDM | Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. | Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu |
| 2014 | KDD | Community detection in graphs through correlation. | Lian Duan, William Nick Street, Yanchi Liu, Haibing Lu |
| 2011 | KSEM | Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering. | Xiaodong Feng, Sen Wu, Yanchi Liu |
| 2010 | ICDM | Understanding of Internal Clustering Validation Measures. | Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu |
| 2010 | ICDM | Detecting Blackhole and Volcano Patterns in Directed Networks. | Zhongmou Li, Hui Xiong, Yanchi Liu, Aoying Zhou |
| 2008 | ICNC | An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising. | Hongwei Guo, Yanchi Liu, Helan Liang, Xuedong Gao |