Yanchi Liu - RankMe

172 papers A* 45A 5B 3C 1Misc 3Journal 82Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. EACL (Findings) Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026	—	`conf`	DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. EACL (Findings) Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2026	J	`jnl`	Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey. ACM Comput. Surv. Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026	—	`conf`	Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. EACL (Findings) Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026	J	`jnl`	Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. CoRR Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2026	—	`conf`	Research on Numerical Recognition of Mine Gas Sensors Based on PP-OCRv5. CNML Chuan Luo, Lei You, Yanchi Liu, Xiaoyu Yang, Tao Li, Xinglin Zhu
2026	J	`jnl`	TCAndon-Router: Adaptive Reasoning Router for Multi-Agent Collaboration. CoRR Jiuzhou Zhao, Chunrong Chen, Chenqi Qiao, Lebin Zheng, Minqi Han, Yanchi Liu, Yongzhou Xu, Xiaochuan Xu, Min Zhang
2025	B	`conf`	A-CLAPS: Automatic Correction of Language and Pronunciation Errors in Slide-based Presentations. COMPSAC Yuan Li, Yanchi Liu, Yijun Zhao
2025	J	`jnl`	DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. CoRR Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng
2025	J	`jnl`	Explainable Multi-modal Time Series Prediction with LLM-in-the-Loop. CoRR Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen
2025	A*	`conf`	Incident Diagnosing and Reporting System Based on Retrieval Augmented Large Language Model. AAAI Peng Yuan, Lu An Tang, Yanchi Liu, Yuji Kobayashi, Moto Sato, Haifeng Chen
2025	A*	`conf`	Incorporating Interactive User Feedback Through Precision Matrix Adjustments for High-Dimensional Anomaly Detection. ICDM Taylor Dinkins, Weng-Keen Wong, Haifeng Chen, Yanchi Liu, Kai Ishikawa
2025	—	`conf`	MixLLM: Dynamic Routing in Mixed Large Language Models. NAACL (Long Papers) Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	J	`jnl`	MixLLM: Dynamic Routing in Mixed Large Language Models. CoRR Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen
2025	J	`jnl`	Representation Interventions Enable Lifelong Unstructured Knowledge Control. CoRR Xuyuan Liu, Zhengzhang Chen, Xinshuai Dong, Yanchi Liu, Xujiang Zhao, Shengyu Chen, Haoyu Wang, Yujun Yan, Haifeng Chen
2025	A*	`conf`	SFS: Smarter Code Space Search improves LLM Inference Scaling. ICLR Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2025	J	`jnl`	SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search. CoRR Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2025	Misc	`conf`	TSLA: A Multi-Task Time Series Language Model. ICASSP Liri Fang, Yuncong Chen, Wenchao Yu, Yanchi Liu, Lu-An Tang, Vetle I. Torvik, Haifeng Chen
2025	—	`conf`	Uncertainty Propagation on LLM Agent. ACL (1) Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2024	—	`conf`	A Study of the Effects of Different Semantic Distance Icons on Drivers' Cognitive Load in Automotive Human-Machine Interface. HCI (50) Yanchi Liu, Wanrong Han, Dihui Chu, Jianrun Zhang
2024	J	`jnl`	Decoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation. CoRR Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2024	—	`conf`	Distantly-Supervised Joint Extraction with Noise-Robust Learning. ACL (Findings) Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
2024	J	`jnl`	Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2024	—	`conf`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. EMNLP (Findings) Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	—	`conf`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. VLDB Workshops Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	J	`jnl`	InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. CoRR Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	A	`conf`	Interpretable Imitation Learning with Dynamic Causal Relations. WSDM Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024	A*	`conf`	Large Language Models Can Be Contextual Privacy Protection Learners. EMNLP 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	J	`jnl`	Learnable Model Augmentation Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2024	—	`conf`	Pruning as a Domain-specific LLM Extractor. NAACL-HLT (Findings) Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024	J	`jnl`	Pruning as a Domain-specific LLM Extractor. CoRR Nan Zhang, Yanchi Liu, Xujiang Zhao, Wei Cheng, Runxue Bao, Rui Zhang, Prasenjit Mitra, Haifeng Chen
2024	J	`jnl`	SAUP: Situation Awareness Uncertainty Propagation on LLM Agent. CoRR Qiwei Zhao, Xujiang Zhao, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Haifeng Chen
2024	J	`jnl`	Scattered Forest Search: Smarter Code Space Exploration with LLMs. CoRR Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng
2024	J	`jnl`	Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models. CoRR Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024	—	`conf`	Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT 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
2023	J	`jnl`	Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
2023	A*	`conf`	Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. ICDE Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023	J	`jnl`	Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023	J	`jnl`	Disentangled Causal Graph Learning for Online Unsupervised Root Cause Analysis. CoRR Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023	J	`jnl`	Distantly-Supervised Joint Entity and Relation Extraction with Noise-Robust Learning. CoRR Yufei Li, Xiao Yu, Yanghong Guo, Yanchi Liu, Haifeng Chen, Cong Liu
2023	J	`jnl`	Dynamic DAG Discovery for Interpretable Imitation Learning. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023	A*	`conf`	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou
2023	A*	`conf`	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. CoRR Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu
2023	—	`conf`	GLAD: Content-Aware Dynamic Graphs For Log Anomaly Detection. ICKG Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023	J	`jnl`	GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection. CoRR Yufei Li, Yanchi Liu, Haoyu Wang, Zhengzhang Chen, Wei Cheng, Yuncong Chen, Wenchao Yu, Haifeng Chen, Cong Liu
2023	J	`jnl`	Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty. CoRR Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	A*	`conf`	Incremental Causal Graph Learning for Online Root Cause Analysis. KDD Dongjie Wang, Zhengzhang Chen, Yanjie Fu, Yanchi Liu, Haifeng Chen
2023	J	`jnl`	Large Language Models Can Be Good Privacy Protection Learners. CoRR Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Haifeng Chen, Wei Wang, Wei Cheng
2023	A*	`conf`	Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023	J	`jnl`	Multi-Faceted Knowledge-Driven Pre-Training for Product Representation Learning. IEEE Trans. Knowl. Data Eng. Denghui Zhang, Yanchi Liu, Zixuan Yuan, Yanjie Fu, Haifeng Chen, Hui Xiong
2023	—	`conf`	Open-ended Commonsense Reasoning with Unrestricted Answer Candidates. EMNLP (Findings) Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	J	`jnl`	Open-ended Commonsense Reasoning with Unrestricted Answer Scope. CoRR Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023	A*	`conf`	Personalized Federated Learning under Mixture of Distributions. ICML Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023	J	`jnl`	Personalized Federated Learning under Mixture of Distributions. CoRR Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng
2023	J	`jnl`	Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
2023	A*	`conf`	Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
2023	J	`jnl`	Sequential Recommendation with Probabilistic Logical Reasoning. CoRR Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
2023	A*	`conf`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. KDD Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	J	`jnl`	Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. CoRR Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023	A*	`conf`	Time Series Contrastive Learning with Information-Aware Augmentations. AAAI Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	J	`jnl`	Time Series Contrastive Learning with Information-Aware Augmentations. CoRR Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang
2023	—	`conf`	Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. ACL (2) Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
2023	J	`jnl`	Uncertainty-Aware Bootstrap Learning for Joint Extraction on Distantly-Supervised Data. CoRR Yufei Li, Xiao Yu, Yanchi Liu, Haifeng Chen, Cong Liu
2022	A*	`conf`	CAT: Beyond Efficient Transformer for Content-Aware Anomaly Detection in Event Sequences. KDD Shengming Zhang, Yanchi Liu, Xuchao Zhang, Wei Cheng, Haifeng Chen, Hui Xiong
2022	J	`jnl`	Competitive Relationship Prediction for Points of Interest: A Neural Graphlet Based Approach. IEEE Trans. Knowl. Data Eng. Jingbo Zhou, Tao Huang, Shuangli Li, Renjun Hu, Yanchi Liu, Yanjie Fu, Hui Xiong
2022	A	`conf`	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CIKM Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022	J	`jnl`	Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. CoRR Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022	J	`jnl`	Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. CoRR Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2022	J	`jnl`	Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. IEEE Trans. Knowl. Data Eng. Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong
2022	B	`conf`	Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. IJCNN Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2022	J	`jnl`	Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation. CoRR Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng
2022	B	`conf`	Quaternion-Based Graph Contrastive Learning for Recommendation. IJCNN Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2022	J	`jnl`	Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network. IEEE Trans. Knowl. Data Eng. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong
2022	J	`jnl`	Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2022	A*	`conf`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph. AAAI Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2021	—	`conf`	Considering Interaction Sequence of Historical Items for Conversational Recommender System. DASFAA (3) Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng
2021	J	`jnl`	Deep multi-task learning with relational attention for business success prediction. Pattern Recognit. Jiejie Zhao, Bowen Du, Leilei Sun, Weifeng Lv, Yanchi Liu, Hui Xiong
2021	J	`jnl`	Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages? CoRR Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
2021	A*	`conf`	Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. KDD Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021	J	`jnl`	Domain-oriented Language Pre-training with Adaptive Hybrid Masking and Optimal Transport Alignment. CoRR Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen
2021	A*	`conf`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. AAAI Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series. CoRR Yinjun Wu, Jingchao Ni, Wei Cheng, Bo Zong, Dongjin Song, Zhengzhang Chen, Yanchi Liu, Xuchao Zhang, Haifeng Chen, Susan B. Davidson
2021	J	`jnl`	Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. CoRR Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou
2021	A*	`conf`	Incremental Spatio-Temporal Graph Learning for Online Query-POI Matching. WWW Zixuan Yuan, Hao Liu, Junming Liu, Yanchi Liu, Yang Yang, Renjun Hu, Hui Xiong
2021	A	`conf`	Interpreting Convolutional Sequence Model by Learning Local Prototypes with Adaptation Regularization. CIKM Jingchao Ni, Zhengzhang Chen, Wei Cheng, Bo Zong, Dongjin Song, Yanchi Liu, Xuchao Zhang, Haifeng Chen
2021	—	`conf`	Knowledge-Aware Hypergraph Neural Network for Recommender Systems. DASFAA (3) Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021	—	`conf`	Learning Disentangled User Representation Based on Controllable VAE for Recommendation. DASFAA (3) Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021	J	`jnl`	Long- and short-term self-attention network for sequential recommendation. Neurocomputing Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2021	—	`conf`	MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. WISE (2) Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng
2021	J	`jnl`	Modelling of Bi-directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-in Identification. CoRR Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2021	J	`jnl`	Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation. IEEE Trans. Knowl. Data Eng. Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou
2021	J	`jnl`	Quaternion-Based Graph Convolution Network for Recommendation. CoRR Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
2021	—	`conf`	Tell Me Where to Go Next: Improving POI Recommendation via Conversation. DASFAA (3) Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng
2021	—	`conf`	Unsupervised Concept Representation Learning for Length-Varying Text Similarity. NAACL-HLT Xuchao Zhang, Bo Zong, Wei Cheng, Jingchao Ni, Yanchi Liu, Haifeng Chen
2021	J	`jnl`	Unsupervised Document Embedding via Contrastive Augmentation. CoRR Dongsheng Luo, Wei Cheng, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Bo Zong, Yanchi Liu, Zhengzhang Chen, Dongjin Song, Haifeng Chen, Xiang Zhang
2021	A*	`conf`	Variational Self-attention Network for Sequential Recommendation. ICDE Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2021	J	`jnl`	Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph. CoRR Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2020	A*	`conf`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. AAAI Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	J	`jnl`	Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation. CoRR Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo
2020	A*	`conf`	Collaborative Self-Attention Network for Session-based Recommendation. IJCAI Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
2020	—	`conf`	Cross-Domain Recommendation with Adversarial Examples. DASFAA (3) Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2020	J	`jnl`	E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. CoRR Denghui Zhang, Zixuan Yuan, Yanchi Liu, Zuohui Fu, Fuzhen Zhuang, Pengyang Wang, Haifeng Chen, Hui Xiong
2020	A*	`conf`	Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. WWW Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2020	J	`jnl`	Exploiting Interpretable Patterns for Flow Prediction in Dockless Bike Sharing Systems. CoRR Jingjing Gu, Qiang Zhou, Jingyuan Yang, Yanchi Liu, Fuzhen Zhuang, Yanchao Zhao, Hui Xiong
2020	J	`jnl`	Exploiting User Preference and Mobile Peer Influence for Human Mobility Annotation. ACM Trans. Knowl. Discov. Data Renjun Hu, Yanchi Liu, Yanyan Li, Jingbo Zhou, Shuai Ma, Hui Xiong
2020	J	`jnl`	Exploiting bi-directional global transition patterns and personal preferences for missing POI category identification. Neural Networks Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
2020	—	`conf`	Hierarchical Variational Attention for Sequential Recommendation. DASFAA (3) Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao
2020	A*	`conf`	Inductive and Unsupervised Representation Learning on Graph Structured Objects. ICLR Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu
2020	J	`jnl`	Inferring Lifetime Status of Point-of-Interest: A Multitask Multiclass Approach. ACM Trans. Knowl. Discov. Data Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo
2020	J	`jnl`	Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CoRR Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2020	—	`conf`	Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. DASFAA (3) Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao
2020	A*	`conf`	Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. AAAI Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
2020	A	`conf`	Sequential Modeling of Hierarchical User Intention and Preference for Next-item Recommendation. WSDM Nengjun Zhu, Jian Cao, Yanchi Liu, Yang Yang, Haochao Ying, Hui Xiong
2020	A*	`conf`	Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. SIGIR Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong
2020	A*	`conf`	T ICDM Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	J	`jnl`	T CoRR Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong
2020	A*	`conf`	Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series. AAAI Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang
2020	—	`conf`	Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. DASFAA (1) Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang
2019	—	`conf`	AdaCML: Adaptive Collaborative Metric Learning for Recommendation. DASFAA (2) Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019	—	`conf`	Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. DASFAA (2) Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019	—	`conf`	Attention and Convolution Enhanced Memory Network for Sequential Recommendation. DASFAA (2) Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019	J	`jnl`	Bayesian dual neural networks for recommendation. Frontiers Comput. Sci. Jia He, Fuzhen Zhuang, Yanchi Liu, Qing He, Fen Lin
2019	J	`jnl`	Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation. CoRR Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2019	J	`jnl`	Exploiting Aesthetic Features in Visual Contents for Movie Recommendation. IEEE Access Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui
2019	A*	`conf`	Feature-level Deeper Self-Attention Network for Sequential Recommendation. IJCAI Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou
2019	A*	`conf`	Graph Contextualized Self-Attention Network for Session-based Recommendation. IJCAI Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou
2019	A	`conf`	Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. CIKM Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong
2019	A*	`conf`	Modelling of Bi-Directional Spatio-Temporal Dependence and Users' Dynamic Preferences for Missing POI Check-In Identification. AAAI Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Jingjing Gu, Hui Xiong, Qing He
2019	J	`jnl`	Non-Intrusive Load Monitoring by Voltage-Current Trajectory Enabled Transfer Learning. IEEE Trans. Smart Grid Yanchi Liu, Xue Wang, Wei You
2019	A*	`conf`	Recurrent Convolutional Neural Network for Sequential Recommendation. WWW Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong
2019	J	`jnl`	Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction. CoRR Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong
2019	J	`jnl`	Time-aware metric embedding with asymmetric projection for successive POI recommendation. World Wide Web Haochao Ying, Jian Wu, Guandong Xu, Yanchi Liu, Tingting Liang, Xiao Zhang, Hui Xiong
2019	A*	`conf`	Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. AAAI Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2018	J	`jnl`	A Generative Model Approach for Geo-Social Group Recommendation. J. Comput. Sci. Technol. Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng
2018	A*	`conf`	Exploiting Graph Regularized Multi-dimensional Hawkes Processes for Modeling Events with Spatio-temporal Characteristics. IJCAI Yanchi Liu, Tan Yan, Haifeng Chen
2018	J	`jnl`	Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation. IEEE Access Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui
2018	J	`jnl`	Personalized Air Travel Prediction: A Multi-factor Perspective. ACM Trans. Intell. Syst. Technol. Jie Liu, Bin Liu, Yanchi Liu, Huipeng Chen, Lina Feng, Hui Xiong, Yalou Huang
2018	A*	`conf`	Sequential Recommender System based on Hierarchical Attention Networks. IJCAI Haochao Ying, Fuzhen Zhuang, Fuzheng Zhang, Yanchi Liu, Guandong Xu, Xing Xie, Hui Xiong, Jian Wu
2018	J	`jnl`	Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation. CoRR Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng
2017	A*	`conf`	Exploiting Hierarchical Structures for POI Recommendation. ICDM Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong
2017	—	`conf`	Forecasting the rise and fall of volatile point-of-interests. IEEE BigData Xinjiang Lu, Zhiwen Yu, Chuanren Liu, Yanchi Liu, Hui Xiong, Bin Guo
2017	A*	`conf`	Functional Zone Based Hierarchical Demand Prediction For Bike System Expansion. KDD Junming Liu, Leilei Sun, Qiao Li, Jingci Ming, Yanchi Liu, Hui Xiong
2017	J	`jnl`	Intelligent bus routing with heterogeneous human mobility patterns. Knowl. Inf. Syst. Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu
2017	A*	`conf`	Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation. ACM Multimedia Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong
2017	A*	`conf`	Point-of-Interest Demand Modeling with Human Mobility Patterns. KDD Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong
2017	J	`jnl`	Utilizing advances in correlation analysis for community structure detection. Expert Syst. Appl. Lian Duan, Yanchi Liu, W. Nick Street, Haibing Lu
2016	J	`jnl`	Data-Aware Retrodiction for Asynchronous Harmonic Measurement in a Cyber-Physical Energy System. Sensors Youda Liu, Xue Wang, Yanchi Liu, Sujin Cui
2016	—	`conf`	Exploiting Human Mobility Patterns for Gas Station Site Selection. DASFAA (1) Hongting Niu, Junming Liu, Yanjie Fu, Yanchi Liu, Bo Lang
2016	A*	`conf`	POI Recommendation: A Temporal Matching between POI Popularity and User Regularity. ICDM Zijun Yao, Yanjie Fu, Bin Liu, Yanchi Liu, Hui Xiong
2016	J	`jnl`	Resolution-Enhanced Harmonic and Interharmonic Measurement for Power Quality Analysis in Cyber-Physical Energy System. Sensors Yanchi Liu, Xue Wang, Youda Liu, Sujin Cui
2016	A*	`conf`	Unified Point-of-Interest Recommendation with Temporal Interval Assessment. KDD Yanchi Liu, Chuanren Liu, Bin Liu, Meng Qu, Hui Xiong
2015	—	`conf`	Asynchronous harmonic analysis based on out-of-sequence measurement for large-scale residential power network. I2MTC Youda Liu, Xue Wang, Yanchi Liu
2014	A*	`conf`	Community detection in graphs through correlation. KDD Lian Duan, William Nick Street, Yanchi Liu, Haibing Lu
2014	Misc	`conf`	Diagnosing New York city's noises with ubiquitous data. UbiComp Yu Zheng, Tong Liu, Yilun Wang, Yanmin Zhu, Yanchi Liu, Eric Chang
2014	A*	`conf`	Exploiting Heterogeneous Human Mobility Patterns for Intelligent Bus Routing. ICDM Yanchi Liu, Chuanren Liu, Nicholas Jing Yuan, Lian Duan, Yanjie Fu, Hui Xiong, Songhua Xu, Junjie Wu
2014	J	`jnl`	Selecting the Right Correlation Measure for Binary Data. ACM Trans. Knowl. Discov. Data Lian Duan, W. Nick Street, Yanchi Liu, Songhua Xu, Brook Wu
2014	A*	`conf`	Sparse Real Estate Ranking with Online User Reviews and Offline Moving Behaviors. ICDM Yanjie Fu, Yong Ge, Yu Zheng, Zijun Yao, Yanchi Liu, Hui Xiong, Jing Yuan
2014	—	`conf`	User Profiling for Query Refinement. AMCIS Chao Xu, Zhu Zhu, Yanchi Liu, Yi-Fang Wu
2013	J	`jnl`	Speeding up correlation search for binary data. Pattern Recognit. Lett. Lian Duan, W. Nick Street, Yanchi Liu
2013	J	`jnl`	Understanding and Enhancement of Internal Clustering Validation Measures. IEEE Trans. Cybern. Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu, Sen Wu
2012	J	`jnl`	Mining blackhole and volcano patterns in directed graphs: a general approach. Data Min. Knowl. Discov. Zhongmou Li, Hui Xiong, Yanchi Liu
2011	C	`conf`	Imputing Missing Values for Mixed Numeric and Categorical Attributes Based on Incomplete Data Hierarchical Clustering. KSEM Xiaodong Feng, Sen Wu, Yanchi Liu
2011	Misc	`conf`	Urban computing with taxicabs. UbiComp Yu Zheng, Yanchi Liu, Jing Yuan, Xing Xie
2010	A*	`conf`	Detecting Blackhole and Volcano Patterns in Directed Networks. ICDM Zhongmou Li, Hui Xiong, Yanchi Liu, Aoying Zhou
2010	J	`jnl`	Detecting Blackholes and Volcanoes in Directed Networks CoRR Zhongmou Li, Hui Xiong, Yanchi Liu
2010	A*	`conf`	Understanding of Internal Clustering Validation Measures. ICDM Yanchi Liu, Zhongmou Li, Hui Xiong, Xuedong Gao, Junjie Wu
2008	—	`conf`	An Application on Time Series Clustering Based on Wavelet Decomposition and Denoising. ICNC (5) Hongwei Guo, Yanchi Liu, Helan Liang, Xuedong Gao