Tingting He - RankMe

175 papers A* 10A 9B 4C 3Misc 4Journal 51Unranked 94

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Divide-and-conquer: Prompt-based distribution learning for multimodal sentiment analysis. Inf. Fusion Chengji Wang, Wenjing Zhang, Guanyi Chen, Ming Dong, Tingting He, Xingpeng Jiang
2026	J	`jnl`	Molecular mechanics-aware feature fusion framework for predicting protein-ligand binding affinity. Expert Syst. Appl. Xing Lv, Xinhui Tu, Tingting He, Weizhong Zhao
2026	J	`jnl`	TDR2A: Time-sensitive decomposition-retrieval-reorganization agent for temporal knowledge graph question answering. Expert Syst. Appl. Zicheng Huang, Xinhui Tu, Tingting He, Weizhong Zhao
2025	J	`jnl`	A Holistic Comparative Study of Large Language Models as Emotional Support Dialogue Systems. Cogn. Comput. Xin Bai, Guanyi Chen, Tingting He, Chenlian Zhou, Cong Guo
2025	—	`conf`	A Robust Multimodal Framework for Protein Function Prediction Using Dual-Path Cross-Attention. BIBM Qian Deng, Lian Zhang, Tingting He, Haitong Yang, Chuanrong Wang
2025	J	`jnl`	Considering Sentiment Causes in In-Context Learning for Aspect-Based Sentiment Analysis. IEEE Intell. Syst. Mengtian Shi, Rui Fan, Tingting He, Guanyi Chen
2025	A*	`conf`	DSCD: Large Language Model Detoxification with Self-Constrained Decoding. EMNLP Ming Dong, Jinkui Zhang, Bolong Zheng, Xinhui Tu, Po Hu, Tingting He
2025	J	`jnl`	DSCD: Large Language Model Detoxification with Self-Constrained Decoding. CoRR Ming Dong, Jinkui Zhang, Bolong Zheng, Xinhui Tu, Po Hu, Tingting He
2025	J	`jnl`	Dual Causes Generation Assisted Model for Multimodal Aspect-Based Sentiment Classification. IEEE Trans. Neural Networks Learn. Syst. Rui Fan, Tingting He, Menghan Chen, Mengyuan Zhang, Xinhui Tu, Ming Dong
2025	J	`jnl`	FISH-Tuning: Enhancing PEFT Methods with Fisher Information. CoRR Kang Xue, Ming Dong, Xinhui Tu, Tingting He
2025	J	`jnl`	KG4NH: A Comprehensive Knowledge Graph for Question Answering in Dietary Nutrition and Human Health. IEEE J. Biomed. Health Informatics Chengcheng Fu, Xueli Pan, Jieyu Wu, Junkai Cai, Zhisheng Huang, Frank van Harmelen, Weizhong Zhao, Xingpeng Jiang, Tingting He
2025	J	`jnl`	Multi-faceted data augmentation for aspect-based sentiment analysis via large language models. Knowl. Based Syst. Rui Fan, Tingting He, Ming Dong
2025	—	`conf`	PICD-Instruct: A Generative Instruction Learning Framework for Few-Shot Multi-Intent Spoken Language Understanding. EMNLP (Findings) Wenbin Hua, Rui Fan, Tingting He, Ming Dong
2025	B	`conf`	Retrieval-Augmented Generation for Large Language Model based Few-shot Chinese Spell Checking. COLING Ming Dong, Zhiwei Cheng, Changyin Luo, Tingting He
2024	J	`jnl`	A Stack-Propagation Framework With Slot Filling for Multi-Domain Dialogue State Tracking. IEEE Trans. Neural Networks Learn. Syst. Yufan Wang, Tingting He, Jie Mei, Rui Fan, Xinhui Tu
2024	J	`jnl`	Causal-ARG: a causality-guided framework for annotating properties of antibiotic resistance genes. Bioinform. Weizhong Zhao, Junze Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu
2024	—	`conf`	Concept-based Biomedical Text Expansion via Large Language Models. BIBM Chenlian Zhou, Xinhui Tu, Tingting He, Weizhong Zhao, Cong Guo, Rui Fan, Yinghao Xiong
2024	J	`jnl`	Data-oriented Dynamic Fine-tuning Parameter Selection Strategy for FISH Mask based Efficient Fine-tuning. CoRR Ming Dong, Kang Xue, Bolong Zheng, Tingting He
2024	J	`jnl`	Meta-path reasoning of knowledge graph for commonsense question answering. Frontiers Comput. Sci. Miao Zhang, Tingting He, Ming Dong
2024	—	`conf`	Predicting Protein-ligand Binding Affinity via Molecular Mechanics-guided Graph Aggregation. BIBM Xing Lv, Weizhong Zhao, Xinhui Tu, Tingting He
2024	—	`conf`	Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking. ACL (Findings) Ming Dong, Yujing Chen, Miao Zhang, Hao Sun, Tingting He
2024	J	`jnl`	Subtask-Aware Representation Learning for Predicting Antibiotic Resistance Gene Properties via Gating-Controlled Mechanism. IEEE J. Biomed. Health Informatics Weizhong Zhao, Junze Wu, Shujie Luo, Xingpeng Jiang, Tingting He, Xiaohua Hu
2024	B	`conf`	Unraveling Intricacies: A Decomposition Approach for Few-Shot Multi-Intent Spoken Language Understanding. IEEE Big Data Wenbin Hua, Yufan Wang, Rui Fan, Xinhui Tu, Tingting He
2023	B	`conf`	A Hybrid Corpus based Fine-grained Semantic Alignment Method for Pre-trained Language Model of Ancient Chinese Poetry. IEEE Big Data Jie Hong, Tingting He, Jie Mei, Ming Dong, Zheming Zhang, Xinhui Tu
2023	J	`jnl`	A novel framework for deep knowledge tracing via gating-controlled forgetting and learning mechanisms. Inf. Process. Manag. Weizhong Zhao, Jun Xia, Xingpeng Jiang, Tingting He
2023	—	`conf`	An Effective Model for Drug-Drug Interactions Prediction in Cold-start Scenario via Counterfactual Data Augmentation. BIBM Xueling Yuan, Weizhong Zhao, Xiaowei Xu, Xinhui Tu, Xingpeng Jiang, Tingting He
2023	J	`jnl`	An Explainable Framework for Predicting Drug-Side Effect Associations via Meta-Path-Based Feature Learning in Heterogeneous Information Network. IEEE ACM Trans. Comput. Biol. Bioinform. Weizhong Zhao, Wenjie Yao, Xingpeng Jiang, Tingting He, Chuan Shi, Xiaohua Hu
2023	—	`conf`	Cascade Decoding for Antibiotic Resistance Event Extraction Based on Contrastive Learning. BIBM Yanan Yao, Tian Yu, Huanghan Zhan, Weizhong Zhao, Tingting He, Xingpeng Jiang
2023	—	`conf`	Counterfactual Inference-based Data Augmentation for Drug-side effect Associations Prediction. BIBM Wenjie Yao, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xianjun Shen, Tingting He
2023	—	`conf`	DSPM-NLG: A Dual Supervised Pre-trained Model for Few-shot Natural Language Generation in Task-oriented Dialogue System. ACL (Findings) Yufan Wang, Bowei Zou, Rui Fan, Ai Ti Aw, Tingting He
2023	—	`conf`	Effective Drug Repositioning with a Novel Negative Sample Selection Algorithm. BIBM Shengwei Ye, Weizhong Zhao, Xiaowei Xu, Xianjun Shen, Xingpeng Jiang, Tingting He
2023	J	`jnl`	Food4healthKG: Knowledge graphs for food recommendations based on gut microbiota and mental health. Artif. Intell. Medicine Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang
2023	J	`jnl`	Improving drug-drug interactions prediction with interpretability via meta-path-based information fusion. Briefings Bioinform. Weizhong Zhao, Xueling Yuan, Xianjun Shen, Xingpeng Jiang, Chuan Shi, Tingting He, Xiaohua Hu
2023	J	`jnl`	Incorporating BERT With Probability-Aware Gate for Spoken Language Understanding. IEEE ACM Trans. Audio Speech Lang. Process. Jie Mei, Yufan Wang, Xinhui Tu, Ming Dong, Tingting He
2023	—	`conf`	Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios. ACL (Findings) Yufan Wang, Jie Mei, Bowei Zou, Rui Fan, Tingting He, Ai Ti Aw
2023	—	`conf`	Multimodal reasoning for nutrition and human health via knowledge graph embedding. BIBM Chengcheng Fu, Yanan Yao, Jieyu Wu, Weizhong Zhao, Tingting He, Xingpeng Jiang
2023	—	`conf`	Predicting Microbe-Metabolite Interactions by Integrating Non-negative Matrix Factorization and Generative Network. BIBM Yi Jia, Shanshan Zheng, Tingting He, Xingpeng Jiang
2023	J	`jnl`	multiMiAT: an optimal microbiome-based association test for multicategory phenotypes. Briefings Bioinform. Han Sun, Yue Wang, Zhen Xiao, Xiaoyun Huang, Haodong Wang, Tingting He, Xingpeng Jiang
2022	—	`conf`	A Novel Drug Repositioning Model Based on Heterogeneous Graph Convolutional Network via Multi-task Learning. BIBM Shengwei Ye, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He
2022	—	`conf`	A Novel Protein Interface Prediction Framework via Hybrid Attention Mechanism. PAKDD (3) Haifang Wu, Shujie Luo, Weizhong Zhao, Xingpeng Jiang, Tingting He
2022	J	`jnl`	A multi-label learning framework for predicting antibiotic resistance genes via dual-view modeling. Briefings Bioinform. Weizhong Zhao, Shujie Luo, Haifang Wu, Xingpeng Jiang, Tingting He, Xiaohua Hu
2022	J	`jnl`	Adversarial Separation Network for Text Style Transfer. ACM Trans. Asian Low Resour. Lang. Inf. Process. Haitong Yang, Guangyou Zhou, Tingting He
2022	A*	`conf`	DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering. EMNLP Miao Zhang, Rufeng Dai, Ming Dong, Tingting He
2022	J	`jnl`	Detecting sparse microbial association signals adaptively from longitudinal microbiome data based on generalized estimating equations. Briefings Bioinform. Han Sun, Xiaoyun Huang, Ban Huo, Yuting Tan, Tingting He, Xingpeng Jiang
2022	J	`jnl`	Document-Level Chemical-Induced Disease Relation Extraction via Hierarchical Representation Learning. IEEE ACM Trans. Comput. Biol. Bioinform. Weizhong Zhao, Jinyong Zhang, Jincai Yang, Xingpeng Jiang, Tingting He
2022	B	`conf`	Emotion-Cause Relationship Between Clauses Prediction: a Novel Method Based on BERT for Emotion-Cause Pair Extraction. IEEE Big Data Rui Fan, Tingting He, Yufan Wang, Jie Hong, Xinhui Tu
2022	C	`conf`	Food Recommendation for Mental Health by Using Knowledge Graph Approach. HIS Chengcheng Fu, Zhisheng Huang, Frank van Harmelen, Tingting He, Xingpeng Jiang
2022	—	`conf`	MPGNN-DSA: A Meta-path-based Graph Neural Network for drug-side effect association prediction. BIBM Wenjie Yao, Weizhong Zhao, Xingpeng Jiang, Xianjun Shen, Tingting He
2022	—	`conf`	Prediction of Drug-Drug Interactions Based on Meta-path-based Fusion Mechanism in Heterogeneous Information Network. BIBM Xueling Yuan, Weizhong Zhao, Xianjun Shen, Xingpeng Jiang, Tingting He
2022	J	`jnl`	Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction. IEEE ACM Trans. Comput. Biol. Bioinform. Yingjun Ma, Tingting He, Yuting Tan, Xingpeng Jiang
2021	J	`jnl`	A Global Deep Reranking Model for Semantic Role Classification. IEICE Trans. Inf. Syst. Haitong Yang, Guangyou Zhou, Tingting He, Maoxi Li
2021	J	`jnl`	An effective framework for semistructured document classification via hierarchical attention model. Int. J. Intell. Syst. Weizhong Zhao, Dandan Fang, Jinyong Zhang, Yao Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He
2021	—	`conf`	An improved RL-based framework for multiple biomedical event extraction via self-supervised learning. BIBM Yao Zhao, Weizhong Zhao, Xingpeng Jiang, Tingting He, Bianping Su
2021	J	`jnl`	Efficient multiple biomedical events extraction via reinforcement learning. Bioinform. Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
2021	—	`conf`	MDepressionKG: a knowledge graph for metabolism-depression associations. ISAIMS Chengcheng Fu, Xiaobin Jiang, Tingting He, Xingpeng Jiang
2021	—	`conf`	Multi-type Microbial Relation Extraction by Transfer Learning. BIBM Xia Sun, Chengcheng Fu, Suoqi Liu, Wenjie Chen, Ran Zhong, Tingting He, Xingpeng Jiang
2021	J	`jnl`	Research on Spider Sex Recognition From Images Based on Deep Learning. IEEE Access Qianjun Chen, Yongchang Ding, Chang Liu, Jie Liu, Tingting He
2021	—	`conf`	TopoPhy-CNN: Integrating Topological Information of Phylogenetic Tree for Host Phenotype Prediction From Metagenomic Data. BIBM Bojing Li, Duo Zhong, Xingpeng Jiang, Tingting He
2021	—	`conf`	Triple-view Learning for Predicting Antibiotic Resistance Genes. BIBM Shujie Luo, Haifang Wu, Weizhong Zhao, Xingpeng Jiang, Tingting He
2020	—	`conf`	A Novel Method for Multiple Biomedical Events Extraction with Reinforcement Learning and Knowledge Bases. BIBM Weizhong Zhao, Yao Zhao, Xingpeng Jiang, Tingting He, Fan Liu, Ning Li
2020	J	`jnl`	A simple kernel co-occurrence-based enhancement for pseudo-relevance feedback. J. Assoc. Inf. Sci. Technol. Min Pan, Jimmy Xiangji Huang, Tingting He, Zhiming Mao, Zhiwei Ying, Xinhui Tu
2020	—	`conf`	An Effective Framework for Document-level Chemical-induced Disease Relation Extraction via Fine-grained Interaction between Contexts. BIBM Jinyong Zhang, Weizhong Zhao, Jincai Yang, Xingpeng Jiang, Tingting He
2020	—	`conf`	An End-to-End Multi-task Learning Network with Scope Controller for Emotion-Cause Pair Extraction. NLPCC (1) Rui Fan, Yufan Wang, Tingting He
2020	C	`conf`	An Integrated Knowledge Graph for Microbe-Disease Associations. HIS Chengcheng Fu, Ran Zhong, Xiaobin Jiang, Tingting He, Xingpeng Jiang
2020	J	`jnl`	An end-to-end framework for biomedical event trigger identification with hierarchical attention and adaptive cost learning. Int. J. Data Min. Bioinform. Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He
2020	J	`jnl`	Clustering and Integrating of Heterogeneous Microbiome Data by Joint Symmetric Nonnegative Matrix Factorization with Laplacian Regularization. IEEE ACM Trans. Comput. Biol. Bioinform. Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang
2020	—	`conf`	Effectively Incorporating Knowledge in Open-Domain Dialogue Generation. CCKS Wenji Zhou, Tingting He, Miao Zhang, Rui Fan
2020	—	`conf`	Knowledge-aware Few-shot Learning Framework for Biomedical Event Trigger Identification. BIBM Shujuan Yin, Weizhong Zhao, Xingpeng Jiang, Tingting He
2020	—	`conf`	Virus Named Entity Recognition based on Pre-training Model. BIBM Hanlin Mou, Shanshan Zheng, Haifang Wu, Bojing Li, Tingting He, Xingpeng Jiang
2019	J	`jnl`	A hybrid deep learning framework for bacterial named entity recognition with domain features. BMC Bioinform. Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang
2019	J	`jnl`	Adversarial Domain Adaptation Network for Semantic Role Classification. IEICE Trans. Inf. Syst. Haitong Yang, Guangyou Zhou, Tingting He, Maoxi Li
2019	—	`conf`	An Improved Biomedical Event Trigger Identification Framework via Modeling Document with Hierarchical Attention. BIBM Jinyong Zhang, Dandan Fang, Weizhong Zhao, Jincai Yang, Wen Zou, Xingpeng Jiang, Tingting He
2019	J	`jnl`	An adaptive term proximity based rocchio's model for clinical decision support retrieval. BMC Medical Informatics Decis. Mak. Min Pan, Yue Zhang, Qiang Zhu, Bo Sun, Tingting He, Xingpeng Jiang
2019	—	`conf`	Bacterial Named Entity Recognition Based on Language Model. BIBM Xusheng Li, Chengcheng Fu, Ran Zhong, Duo Zhong, Tingting He, Xingpeng Jiang
2019	J	`jnl`	DSPF: A Digital Signal Processing Based Framework for Information Retrieval. IEEE Access Zhiwei Ying, Jimmy Xiangji Huang, Jie Zhou, Fanghong Jian, Tingting He
2019	—	`conf`	Effective Utilization of External Knowledge and History Context in Multi-turn Spoken Language Understanding Model. IEEE BigData Yufan Wang, Tingting He, Rui Fan, Wenji Zhou, Xinhui Tu
2019	—	`conf`	Hierarchical-Document-Structure-Aware Attention with Adaptive Cost Sensitive Learning for Biomedical Document Classification. IEEE BigData Dandan Fang, Jinyong Zhang, Weizhong Zhao, Xiaowei Xu, Xingpeng Jiang, Xiaohua Hu, Tingting He
2019	—	`conf`	Integrating Deep Textual Features to Probability Matrix Factorization for Metabolite-disease Association Prediction. BIBM Qing Zhu, Chang Han, Qiang Zhu, Tingting He, Xingpeng Jiang
2019	—	`conf`	Microbial Interaction Extraction from Biomedical Literature using Max-Bi-LSTM. BIBM Ran Zhong, Xusheng Li, Xia Sun, Chengcheng Fu, Tingting He, Xingpeng Jiang
2019	A*	`conf`	Parrot: A Python-based Interactive Platform for Information Retrieval Research. SIGIR Xinhui Tu, Jimmy X. Huang, Jing Luo, Runjie Zhu, Tingting He
2019	J	`jnl`	Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion. BMC Bioinform. Dan Liu, Yingjun Ma, Xingpeng Jiang, Tingting He
2018	—	`conf`	A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition. BIBM Xusheng Li, Xiaoyan Wang, Ran Zhong, Duo Zhong, Tingting He, Xiaohua Hu, Xingpeng Jiang
2018	A*	`conf`	A New Term Frequency Normalization Model for Probabilistic Information Retrieval. SIGIR Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He
2018	—	`conf`	An Enhanced HAL-Based Pseudo Relevance Feedback Model in Clinical Decision Support Retrieval. ICIC (2) Min Pan, Yue Zhang, Tingting He, Xingpeng Jiang
2018	—	`conf`	An Ensemble Feature Selection Method Based on Deep Forest for Microbiome-Wide Association Studies. BIBM Qiang Zhu, Min Pan, Lei Liu, Bojing Li, Tingting He, Xingpeng Jiang, Xiaohua Hu
2018	—	`conf`	ESNMF: Evolutionary Symmetric Nonnegative Matrix Factorization for Dissecting Dynamic Microbial Networks. ICIC (3) Yuanyuan Ma, Xiaohua Hu, Tingting He, Xianchao Zhu, Meijun Zhou, Xingpeng Jiang
2018	—	`conf`	High-order Organization of Weighted Microbial Interaction Network. BIBM Xianjun Shen, Xue Gong, Xingpeng Jiang, Jincai Yang, Tingting He, Xiaohua Hu
2018	—	`conf`	Kernel Soft-neighborhood Network Fusion for MiRNA-Disease Interaction Prediction. BIBM Yingiun Ma, Leixin Ge, Yuanyuan Ma, Xingpeng Jiang, Tingting He, Xiaohua Hu
2018	J	`jnl`	Nonlinear expression and visualization of nonmetric relationships in genetic diseases and microbiome data. BMC Bioinform. Xianchao Zhu, Xianjun Shen, Xingpeng Jiang, Kaiping Wei, Tingting He, Yuanyuan Ma, Jiaqi Liu, Xiaohua Hu
2018	—	`conf`	Prediction of Long Non-coding RNA-protein Interaction through Kernel Soft-neighborhood Similarity. BIBM Yingiun Ma, Limin Yu, Tingting He, Xiaohua Hu, Xingpeng Jiang
2018	—	`conf`	The Phylogenetic Tree based Deep Forest for Metagenomic Data Classification. BIBM Qiang Zhu, Qing Zhu, Min Pan, Xingpeng Jiang, Xiaohua Hu, Tingting He
2018	—	`conf`	Virus-host Association Prediction by using Kernelized Logistic Matrix Factorization on Heterogeneous Networks. BIBM Dan Liu, Xiaohua Hu, Tingting He, Xingpeng Jiang
2017	—	`conf`	A Framework of Rural E-commerce in Context of Big Data in China. WHICEB Huosong Xia, Tingting He, Fang Li, Jin Long
2017	—	`conf`	Bacterial named entity recognition based on dictionary and conditional random field. BIBM Xiaoyan Wang, Xingpeng Jiang, Mengwen Liu, Tingting He, Xiaohua Hu
2017	—	`conf`	The modularity of microbial interaction network in healthy human saliva: Stability and specificity. BIBM Dan Liu, Xingpeng Jiang, Huiru Jane Zheng, Bo Xie, Haiying Wang, Tingting He, Xiaohua Hu
2017	—	`conf`	Visualization of disease relationships by multiple maps t-SNE regularization based on Nesterov accelerated gradient. BIBM Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Tingting He, Xiaohua Hu
2017	—	`conf`	Visualization of non-metric relationships by adaptive learning multiple maps t-SNE regularization. IEEE BigData Xianjun Shen, Xianchao Zhu, Xingpeng Jiang, Li Gao, Tingting He, Xiaohua Hu
2016	A*	`conf`	A Simple Enhancement for Ad-hoc Information Retrieval via Topic Modelling. SIGIR Fanghong Jian, Jimmy Xiangji Huang, Jiashu Zhao, Tingting He, Po Hu
2016	—	`conf`	A novel identified temporal protein complexes strategy inspired by density-distance and brainstorming process. BIBM Xianjun Shen, Jin Zhou, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang, Dan Xie
2016	J	`jnl`	A novel proteins complex identification based on connected affinity and multi-level seed extension. Int. J. Data Min. Bioinform. Tingting He, Peng Li, Xiaohua Hu, Xianjun Shen, Yan Wang, Junmin Zhao
2016	—	`conf`	Bi-Transferring Deep Neural Networks for Domain Adaptation. ACL (1) Guangyou Zhou, Zhiwen Xie, Jimmy Xiangji Huang, Tingting He
2016	J	`jnl`	Cross-lingual sentiment classification with stacked autoencoders. Knowl. Inf. Syst. Guangyou Zhou, Zhiyuan Zhu, Tingting He, Xiaohua Tony Hu
2016	A*	`conf`	Exploiting Semantic Coherence Features for Information Retrieval. SIGIR Xinhui Tu, Jimmy Xiangji Huang, Jing Luo, Tingting He
2016	J	`jnl`	Identification of the clustering structure in microbiome data by density clustering on the Manhattan distance. Sci. China Inf. Sci. Xingpeng Jiang, Xiaohua Hu, Tingting He
2016	—	`conf`	Knowledge Base Question Answering Based on Deep Learning Models. NLPCC/ICCPOL Zhiwen Xie, Zhao Zeng, Guangyou Zhou, Tingting He
2016	J	`jnl`	Learning semantic representation with neural networks for community question answering retrieval. Knowl. Based Syst. Guangyou Zhou, Yin Zhou, Tingting He, Wensheng Wu
2016	J	`jnl`	Learning the Multilingual Translation Representations for Question Retrieval in Community Question Answering via Non-Negative Matrix Factorization. IEEE ACM Trans. Audio Speech Lang. Process. Guangyou Zhou, Zhiwen Xie, Tingting He, Jun Zhao, Xiaohua Tony Hu
2016	—	`conf`	Multi-view clustering microbiome data by joint symmetric nonnegative matrix factorization with Laplacian regularization. BIBM Yuanyuan Ma, Xiaohua Hu, Tingting He, Xingpeng Jiang
2016	—	`conf`	Predicting disease-microbe association by random walking on the heterogeneous network. BIBM Xianjun Shen, Yao Chen, Xingpeng Jiang, Xiaohua Hu, Tingting He, Jincai Yang
2016	A*	`conf`	Socialized Language Model Smoothing via Bi-directional Influence Propagation on Social Networks. WWW Rui Yan, Cheng-Te Li, Hsun-Ping Hsieh, Po Hu, Xiaohua Hu, Tingting He
2015	A*	`conf`	A Subspace Learning Framework for Cross-Lingual Sentiment Classification with Partial Parallel Data. IJCAI Guangyou Zhou, Tingting He, Jun Zhao, Wensheng Wu
2015	J	`jnl`	Cross-domain sentiment classification via topical correspondence transfer. Neurocomputing Guangyou Zhou, Yin Zhou, Xiyue Guo, Xinhui Tu, Tingting He
2015	—	`conf`	Detecting temporal protein complexes based on Neighbor Closeness and time course protein interaction networks. BIBM Xianjun Shen, Yi Li, Xingpeng Jiang, Yanli Zhao, Tingting He, Jincai Yang
2015	J	`jnl`	Dynamic identifying protein functional modules based on adaptive density modularity in protein-protein interaction networks. BMC Bioinform. Xianjun Shen, Li Yi, Yang Yi, Jincai Yang, Tingting He, Xiaohua Hu
2015	—	`conf`	Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering. ACL (1) Guangyou Zhou, Tingting He, Jun Zhao, Po Hu
2015	A*	`conf`	Linking Heterogeneous Input Features with Pivots for Domain Adaptation. IJCAI Guangyou Zhou, Tingting He, Wensheng Wu, Xiaohua Tony Hu
2015	—	`conf`	Predicting disease genes based on normalized protein modules and phenotype ontology. BIBM Jie Yuan, Xingpeng Jiang, Tingting He, Yan Wang, Xiyue Guo
2015	—	`conf`	Predicting microbial interactions by using network-constrained regularization incorporating covariate coefficients and connection signs. BIBM Yan Wang, Xiaohua Hu, Xingpeng Jiang, Tingting He, Jie Yuan
2015	—	`conf`	Time series analysis of microbiome data regularized by local linear manifold. BIBM Xingpeng Jiang, Xiaohua Hu, Tingting He
2015	A	`conf`	Video Popularity Prediction by Sentiment Propagation via Implicit Network. CIKM Wanying Ding, Yue Shang, Lifan Guo, Xiaohua Hu, Rui Yan, Tingting He
2015	J	`jnl`	Weighted fusion regularisation and predicting microbial interactions with vector autoregressive model. Int. J. Data Min. Bioinform. Yan Wang, Tingting He, Xingpeng Jiang, Jie Yuan, Xianjun Shen
2015	J	`jnl`	基于位置语言模型的中文信息检索系统的研究 (Positional Language Model-based Chinese IR System). 计算机科学 Yalan Chen, Xiaohua Hu, Xinhui Tu, Tingting He
2014	—	`conf`	A novel disease gene prediction method based on PPI network. BIBM Junmin Zhao, Tingting He, Xiaohua Hu, Yan Wang, Xianjun Shen, Minghong Fang, Jie Yuan
2014	—	`conf`	A novel proteins complex identification based on connected affinity and multi-level seed extension. BIBM Tingting He, Peng Li, Xiaohua Hu, Xianjun Shen, Yan Wang, Junmin Zhao
2014	J	`jnl`	An efficient protein complex mining algorithm based on Multistage Kernel Extension. BMC Bioinform. Xianjun Shen, Yanli Zhao, Yanan Li, Tingting He, Jincai Yang, Xiaohua Hu
2014	J	`jnl`	An empirical study of topic-sensitive probabilistic model for expert finding in question answer communities. Knowl. Based Syst. Guangyou Zhou, Jun Zhao, Tingting He, Wensheng Wu
2014	—	`conf`	Bridging the Language Gap: Learning Distributed Semantics for Cross-Lingual Sentiment Classification. NLPCC Guangyou Zhou, Tingting He, Jun Zhao
2014	—	`conf`	Identifying top Chinese network buzzwords from social media big data set based on time-distribution features. IEEE BigData Yongli Tang, Tingting He, Bo Li, Xiaohua Hu
2014	A	`conf`	Log-Bilinear Document Language Model for Ad-hoc Information Retrieval. CIKM Xinhui Tu, Jing Luo, Bo Li, Tingting He
2014	—	`conf`	Microbiome dynamics analysis using a novel multivariate vector autoregression model with weighted fusion regularization. BIBM Yan Wang, Xingpeng Jiang, Xiaohua Hu, Tingting He, Xianjun Shen, Jie Yuan
2014	—	`conf`	Positional Translation Language Model for Ad-Hoc Information Retrieval. PAKDD (2) Xinhui Tu, Jing Luo, Bo Li, Tingting He, Jinguang Gu
2014	—	`conf`	Prioritizing disease-causing genes based on network diffusion and rank concordance. BIBM Minghong Fang, Xiaohua Hu, Tingting He, Yan Wang, Junmin Zhao, Xianjun Shen, Jie Yuan
2013	—	`conf`	A novel protein complex identification algorithm based on gene co-expression (PCIA-GeCo). BIBM Junmin Zhao, Xiaohua Hu, Tingting He, Peng Li, Ming Zhang, Xianjun Shen
2013	—	`conf`	An integrated approach to identify protein complex based on best neighbor and modularity increment. BIBM Xianjun Shen, Yanli Zhao, Yanan Li, Jincai Yang, Tingting He, Xiaohua Hu
2013	A	`conf`	Exploiting proximity feature in statistical translation models for information retrieval. CIKM Xinhui Tu, Jing Luo, Bo Li, Tingting He, Maofu Liu
2013	—	`conf`	Identification of essential proteins based on network capital assessment and invalidating protein node. BIBM Xianjun Shen, Rui Xu, Xiaohui Chen, Jincai Yang, Tingting He
2013	—	`conf`	Incorporating Hierarchical Dirichlet Process into Tag Topic Model. CLSW Ming Zhang, Tingting He, Fang Li, Li Peng
2013	—	`conf`	Mining protein complexes based on connected affinity clique extension. BIBM Peng Li, Xiaohua Hu, Tingting He, Junmin Zhao, Ming Zhang, Xianjun Shen
2013	—	`conf`	Protein functional module detection based on closely associated degree. BIBM Xianjun Shen, Xiaohui Chen, Rui Xu, Tingting He, Jincai Yang, Xiaohua Hu
2012	A	`conf`	Author-conference topic-connection model for academic network search. CIKM Jianwen Wang, Xiaohua Hu, Xinhui Tu, Tingting He
2012	A	`conf`	Incorporating word correlation into tag-topic model for semantic knowledge acquisition. CIKM Fang Li, Tingting He, Xinhui Tu, Xiaohua Hu
2012	—	`conf`	Manifold learning reveals nonlinear structure in metagenomic profiles. BIBM Xingpeng Jiang, Xiaohua Hu, Huiyu Shen, Tingting He
2012	A	`conf`	Modeling semantic relations between visual attributes and object categories via dirichlet forest prior. CIKM Xin Chen, Xiaohua Hu, Zhongna Zhou, Yuan An, Tingting He, E. K. Park
2012	—	`conf`	Tag recommendation based on tag-topic model. CCIS Rong Hu, Tingting He, Fang Li, Po Hu
2011	—	`conf`	Inferring Functional Groups from Microbial Gene Catalogue with Probabilistic Topic Models. BIBM Xin Chen, Tingting He, Xiaohua Hu, Yuan An, Xindong Wu
2011	A	`conf`	Perspective hierarchical dirichlet process for user-tagged image modeling. CIKM Xin Chen, Xiaohua Hu, Yuan An, Zunyan Xiong, Tingting He, E. K. Park
2011	—	`conf`	Tag-topic model for semantic knowledge acquisition from blogs. NLPKE Fang Li, Huiyu Shen, Tingting He
2010	A	`conf`	A probabilistic topic-connection model for automatic image annotation. CIKM Xin Chen, Xiaohua Hu, Zhongna Zhou, Caimei Lu, Gail Rosen, Tingting He, E. K. Park
2010	—	`conf`	Answer Diversification for Complex Question Answering on the Web. PAKDD (1) Palakorn Achananuparp, Xiaohua Hu, Tingting He, Christopher C. Yang, Yuan An, Lifan Guo
2010	Misc	`conf`	Document Relevance Identifying and its Effect in Query-Focused Text Summarization. GrC Tingting He, Fang Li, Liang Ma
2010	—	`conf`	Emotion analysis in blogs at sentence level using a Chinese emotion corpus. NLPKE Changqin Quan, Tingting He, Fuji Ren
2010	—	`conf`	Improving Diversity of Focused Summaries through the Negative Endorsements of Redundant Facts. Web Intelligence Palakorn Achananuparp, Xiaohua Hu, Lifan Guo, Tingting He, Yuan An, Zhoujun Li
2010	—	`conf`	Obtaining Uncertainty to Generate Summarization. TAC Jinguang Chen, Tingting He
2010	—	`conf`	Obtaining chinese semantic knowledge from online encyclopedia. NLPKE Liu Yang, Tingting He, Xinhui Tu, Jinguang Chen
2010	A*	`conf`	The topic-perspective model for social tagging systems. KDD Caimei Lu, Xiaohua Hu, Xin Chen, Jung-ran Park, Tingting He, Zhoujun Li
2010	—	`conf`	Using topic-concept based Clustering for Genomic Information Retrieval in TREC. BIBM Workshops Tengfei Jiang, Tingting He, Fang Li
2010	A	`conf`	Wikipedia-Based Semantic Smoothing for the Language Modeling Approach to Information Retrieval. ECIR Xinhui Tu, Tingting He, Long Chen, Jing Luo, Maoyuan Zhang
2009	—	`conf`	Exploratory Analysis of Protein Translation Regulatory Networks Using Hierarchical Random Graphs. BIBM Daniel Duanqing Wu, Xiaohua Hu, Tingting He
2009	—	`conf`	HUNUS at TAC 2009: with Better Performance in Update Summarization Task. TAC Tingting He, Jinguang Chen, Zhuoming Gui, Fang Li
2009	Misc	`conf`	Probabilistic unsupervised Chinese sentence compression. GrC Jinguang Chen, Tingting He, Zhuoming Gui, Fang Li
2009	—	`conf`	Term relevance estimation for Chinese query expansion. NLPKE Xinhui Tu, Tingting He, Jing Luo
2008	—	`conf`	A Mixture Language Model for Class-Attribute Mining from Biomedical Literature Digital Library. BIBM Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Daniel Duanqing Wu, Tingting He, Aijing Luo
2008	—	`conf`	A New Feature-Fusion Sentence Selecting Strategy for Query-Focused Multi-document Summarization. ALPIT Tingting He, Fang Li, Wei Shao, Jinguang Chen, Liang Ma
2008	—	`conf`	Application of Transductive Inference SVM Based Relevant Documents Acquiring in Query-Biased Summarization. CSSE (1) Fang Li, Tingting He, Liang Ma, Wei Shao, Jinguang Chen
2008	—	`conf`	Automatic construction of biomedical abbreviations dictionary from text. NLPKE Changqin Quan, Fuji Ren, Tingting He, Po Hu
2008	—	`conf`	CCNU at TAC 2008: Proceeding on Using Semantic Method for Automated Summarization Yield. TAC Tingting He, Jinguang Chen, Zhuoming Gui, Fang Li
2008	—	`conf`	Chinese query expansion based on topic-relevant terms. NLPKE Xinhui Tu, Tingting He, Jing Luo, Jingguang Chen, Long Chen, Zongkai Yang
2008	—	`conf`	Query-Focused Multi-document Summarization Using Keyword Extraction. CSSE (1) Liang Ma, Tingting He, Fang Li, Zhuoming Gui, Jinguang Chen
2008	—	`conf`	RCSUM: To build a summarization system directly generating summaries with evaluation metrics. NLPKE Jinguang Chen, Tingting He, Zhuoming Gui, Liang Ma, Fang Li, Xinhui Tu
2008	Misc	`conf`	ROUGE-C: A Fully Automated Evaluation Method for Multi-document Summarization. GrC Tingting He, Jinguang Chen, Liang Ma, Zhuoming Gui, Fang Li, Wei Shao, Qian Wang
2008	—	`conf`	The Automated Estimation of Content-Terms for Query-Focused Multi-document Summarization. FSKD (5) Tingting He, Wei Shao, Fang Li, Zongkai Yang, Liang Ma
2008	Misc	`conf`	Web Clustering based on the Information of Sibling Pages. GrC Caimei Lu, Xiaodan Zhang, Jung-ran Park, Xiaohua Hu, Tingting He
2007	—	`conf`	The Implementation of a Query-Directed Multi-document Summarization System. ALPIT Tingting He, Wei Shao, Huasong Xiao, Po Hu
2005	J	`jnl`	An Unsupervised Approach to Chinese Word Sense Disambiguation Based on Hownet. Int. J. Comput. Linguistics Chin. Lang. Process. Hao Chen, Tingting He, Donghong Ji, Changqin Quan
2004	C	`conf`	A Study of Chinese Text Summarization Using Adaptive Clustering of Paragraphs. CIT Po Hu, Tingting He, Dong-Hong Ji, Meng Wang