Tieyun Qian - RankMe

178 papers A* 22A 5B 9C 1Journal 78Unranked 59

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AdaCultureSafe: Adaptive Cultural Safety Grounded by Cultural Knowledge in Large Language Models. CoRR Hankun Kang, Di Lin, Zhirong Liao, Pengfei Bai, Xinyi Zeng, Jiawei Jiang, Yuanyuan Zhu, Tieyun Qian
2026	J	`jnl`	Beyond Static Snapshots: Dynamic Modeling and Forecasting of Group-Level Value Evolution with Large Language Models. CoRR Qiankun Pi, Guixin Su, Jinliang Li, Mayi Xu, Xin Miao, Jiawei Jiang, Ming Zhong, Tieyun Qian
2026	A*	`conf`	ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations. WWW Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu, Tieyun Qian
2026	J	`jnl`	ContiGuard: A Framework for Continual Toxicity Detection Against Evolving Evasive Perturbations. CoRR Hankun Kang, Xin Miao, Jianhao Chen, Jintao Wen, Mayi Xu, Weiyu Zhang, Wenpeng Lu, Tieyun Qian
2026	J	`jnl`	Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions. CoRR Yongqi Li, Hao Lang, Tieyun Qian, Yongbin Li
2026	J	`jnl`	Developing continuous toxicity detection against increasing types of perturbed toxic text. Inf. Process. Manag. Hankun Kang, Jianhao Chen, Yongqi Li, Xin Miao, Mayi Xu, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian
2026	A*	`conf`	Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data. AAAI Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian
2026	—	`conf`	HAL: Accurate, Private, and Efficient Sample Alignment for Multimodal Federated Learning. KDD (1) Xiaokai Zhou, Xiao Yan, Xinyan Li, Yuxiang Wang, Quanqing Xu, Chuang Hu, Tieyun Qian, Jiawei Jiang
2026	J	`jnl`	Historical betweenness centrality and its computation. World Wide Web (WWW) Zhenyu Mao, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2026	J	`jnl`	How Robust are Large Language Models Against Word-Level Spurious Correlations? A Causal Discovery Approach. Mach. Learn. Xin Miao, Yongqi Li, Hankun Kang, Mayi Xu, Jintao Wen, Yuyang Ren, Tieyun Qian
2026	A*	`conf`	Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. AAAI Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian
2026	A*	`conf`	Tracing Belief-Driven Thoughts with Theory-of-Mind Agents: An Opinion Analysis Framework. WWW Jintao Wen, Yunfeng Ning, Hankun Kang, Xin Miao, Tieyun Qian
2025	—	`conf`	A Survey on Training-free Alignment of Large Language Models. EMNLP (Findings) Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian
2025	J	`jnl`	A Survey on Training-free Alignment of Large Language Models. CoRR Birong Pan, Yongqi Li, Weiyu Zhang, Wenpeng Lu, Mayi Xu, Shen Zhou, Yuanyuan Zhu, Ming Zhong, Tieyun Qian
2025	—	`conf`	Aligning VLM Assistants with Personalized Situated Cognition. ACL (1) Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian
2025	J	`jnl`	Aligning VLM Assistants with Personalized Situated Cognition. CoRR Yongqi Li, Shen Zhou, Xiaohu Li, Xin Miao, Jintao Wen, Mayi Xu, Jianhao Chen, Birong Pan, Hankun Kang, Yuanyuan Zhu, Ming Zhong, Tieyun Qian
2025	—	`conf`	CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations. ACL (Findings) Xiaohu Li, Yunfeng Ning, Zepeng Bao, Mayi Xu, Jianhao Chen, Tieyun Qian
2025	J	`jnl`	CAVGAN: Unifying Jailbreak and Defense of LLMs via Generative Adversarial Attacks on their Internal Representations. CoRR Xiaohu Li, Yunfeng Ning, Zepeng Bao, Mayi Xu, Jianhao Chen, Tieyun Qian
2025	J	`jnl`	Can a Small Model Learn to Look Before It Leaps? Dynamic Learning and Proactive Correction for Hallucination Detection. CoRR Zepeng Bao, Shen Zhou, Qiankun Pi, Jianhao Chen, Mayi Xu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian
2025	A*	`conf`	Efficient Frequency-Aware k-Core Query on Temporal Graphs. ICDE Zhongfan Du, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2025	A*	`conf`	Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. AAAI Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian
2025	J	`jnl`	Exploring an Effective Approach to Acquire Meta-Knowledge for Low-Resource Few-Shot Relation Extraction. Expert Syst. J. Knowl. Eng. Jiao Luo, Wanli Li, Tieyun Qian, Hui Zheng, Hongyu Zhang, Zaiwen Feng
2025	J	`jnl`	Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data. CoRR Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian
2025	J	`jnl`	FuSaR: A Fuzzification-Based Method for LRM Safety-Reasoning Balance. CoRR Jianhao Chen, Mayi Xu, Xiaohu Li, Yongqi Li, Xiangyu Zhang, Jianjie Huang, Tieyun Qian
2025	A*	`conf`	Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. SIGIR Wanli Li, Tieyun Qian, Yi Song, Zeyu Zhang, Jiawei Li, Zhuang Chen, Lixin Zou
2025	A*	`conf`	Hounding Data Diversity: Towards Participant Selection in Vertical Federated Learning. ICDE Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Xinyan Li, Hao Huang, Quanqing Xu, Chuanhui Yang, Bo Du, Tieyun Qian, Jiawei Jiang
2025	J	`jnl`	NeuronTune: Fine-Grained Neuron Modulation for Balanced Safety-Utility Alignment in LLMs. CoRR Birong Pan, Mayi Xu, Qiankun Pi, Jianhao Chen, Yuanyuan Zhu, Ming Zhong, Tieyun Qian
2025	J	`jnl`	On More Efficiently and Versatilely Querying Historical k-Cores. Proc. VLDB Endow. Zhi Wang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2025	J	`jnl`	PS-MI: Accurate, Efficient, and Private Data Valuation in Vertical Federated Learning. Proc. VLDB Endow. Xiaokai Zhou, Xiao Yan, Fangcheng Fu, Ziwen Fu, Tieyun Qian, Yuanyuan Zhu, Qinbo Zhang, Bin Cui, Jiawei Jiang
2025	J	`jnl`	Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering. CoRR Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian
2025	A*	`conf`	Strong Empowered and Aligned Weak Mastered Annotation for Weak-to-Strong Generalization. AAAI Yongqi Li, Xin Miao, Mayi Xu, Tieyun Qian
2025	—	`conf`	SynTSE: A Syntax-Aware Generative Method for Topic-Stance Extraction. APWeb-WAIM (1) Jintao Wen, Yongqi Li, Shen Zhou, Ming Zhong, Yuanyuan Zhu, Tieyun Qian
2025	A*	`conf`	TDT: Tensor Based Directed Truss Decomposition. ICDE Guojing Li, Yuanyuan Zhu, Junchao Ma, Ming Zhong, Tieyun Qian, Jeffrey Xu Yu
2025	J	`jnl`	TGraph: A Tensor-centric Graph Processing Framework. Proc. ACM Manag. Data Yongliang Zhang, Yuanyuan Zhu, Hao Zhang, Congli Gao, Yuyang Wang, Guojing Li, Tianyang Xu, Ming Zhong, Jiawei Jiang, Tieyun Qian, Chenyi Zhang, Jeffrey Xu Yu
2025	J	`jnl`	TQEx: Tensor-based Query Engine Enhanced by Bridging the Gap. Proc. ACM Manag. Data Haitao Zhang, Ran Pang, Yuanyuan Zhu, Hao Zhang, Congli Gao, Ming Zhong, Jiawei Jiang, Tieyun Qian, Jeffrey Xu Yu
2025	J	`jnl`	Understanding Generalization in Role-Playing Models via Information Theory. CoRR Yongqi Li, Hao Lang, Fei Huang, Tieyun Qian, Yongbin Li
2024	J	`jnl`	A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query. IEEE Trans. Knowl. Data Eng. Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2024	A*	`conf`	Adaption-of-Thought: Learning Question Difficulty Improves Large Language Models for Reasoning. EMNLP Mayi Xu, Yongqi Li, Ke Sun, Tieyun Qian
2024	J	`jnl`	Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou
2024	—	`conf`	An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. ACL (Findings) Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian
2024	J	`jnl`	City Matters! A Dual-Target Cross-City Sequential POI Recommendation Model. ACM Trans. Inf. Syst. Ke Sun, Chenliang Li, Tieyun Qian
2024	—	`conf`	DCOAT: Dynamic Core-attachment based Protein Complex Detection. BIBM Yaoran Chen, Difu Feng, Yuanyuan Zhu, Guojing Li, Ming Zhong, Tieyun Qian, Juan Liu
2024	—	`conf`	Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. NAACL-HLT Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang
2024	J	`jnl`	Enhancing Relation Extraction via Supervised Rationale Verification and Feedback. CoRR Yongqi Li, Xin Miao, Shen Zhou, Mayi Xu, Yuyang Ren, Tieyun Qian
2024	—	`conf`	Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction. ACL (Findings) Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian
2024	J	`jnl`	Evolution Forest Index: Towards Optimal Temporal $k$-Core Component Search via Time-Topology Isomorphic Computation. Proc. VLDB Endow. Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2024	—	`conf`	Implanting LLM's Knowledge via Reading Comprehension Tree for Toxicity Detection. ACL (Findings) Hankun Kang, Tieyun Qian
2024	J	`jnl`	One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Congcong Jiang, Tieyun Qian, Bing Liu
2024	J	`jnl`	Origin-Destination Demand Prediction: An Urban Radiation and Attraction Perspective. CoRR Xuan Ma, Zepeng Bao, Ming Zhong, Yuanyuan Zhu, Chenliang Li, Jiawei Jiang, Qing Li, Tieyun Qian
2024	J	`jnl`	PSA-GNN: An augmented GNN framework with priori subgraph knowledge. Neural Networks Guotong Xue, Ming Zhong, Tieyun Qian, Jianxin Li
2024	—	`conf`	Prompting Large Language Models for Counterfactual Generation: An Empirical Study. LREC/COLING Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian
2024	A*	`conf`	Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. ICDE Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu
2023	A*	`conf`	Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. ICDE Tieyun Qian, Yile Liang, Qing Li, Hui Xiong
2023	—	`conf`	Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. ECML/PKDD (2) Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian
2023	—	`conf`	Dynamic Open-book Prompt for Conversational Recommender System. EMNLP (Findings) Xuan Ma, Tieyun Qian, Ke Sun
2023	A*	`conf`	Generating Commonsense Counterfactuals for Stable Relation Extraction. EMNLP Xin Miao, Yongqi Li, Tieyun Qian
2023	J	`jnl`	Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. CoRR Wanli Li, Tieyun Qian
2023	J	`jnl`	Intent Disentanglement and Feature Self-Supervision for Novel Recommendation. IEEE Trans. Knowl. Data Eng. Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng
2023	J	`jnl`	Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. Wanli Li, Tieyun Qian, Ming Zhong, Xu Chen
2023	J	`jnl`	Large Language Models as Counterfactual Generator: Strengths and Weaknesses. CoRR Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian
2023	A*	`conf`	Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. IJCAI Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian
2023	J	`jnl`	Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. CoRR Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian
2023	—	`conf`	On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. ACL (Findings) Shen Zhou, Tieyun Qian
2023	J	`jnl`	Pre-Training Across Different Cities for Next POI Recommendation. ACM Trans. Web Ke Sun, Tieyun Qian, Chenliang Li, Xuan Ma, Qing Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu
2023	J	`jnl`	Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). CoRR Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2023	J	`jnl`	Scalable Time-Range k-Core Query on Temporal Graphs. Proc. VLDB Endow. Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2023	A*	`conf`	Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. WWW Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao
2023	J	`jnl`	Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. CoRR Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu
2023	J	`jnl`	Towards more effective encoders in pre-training for sequential recommendation. World Wide Web (WWW) Ke Sun, Tieyun Qian, Ming Zhong, Xuhui Li
2023	—	`conf`	Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. EMNLP (Findings) Yongqi Li, Yu Yu, Tieyun Qian
2023	J	`jnl`	Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. CoRR Yongqi Li, Yu Yu, Tieyun Qian
2022	J	`jnl`	Attribute Graph Neural Networks for Strict Cold Start Recommendation. IEEE Trans. Knowl. Data Eng. Tieyun Qian, Yile Liang, Qing Li, Hui Xiong
2022	J	`jnl`	Automatically Generating Counterfactuals for Relation Exaction. CoRR Mi Zhang, Tieyun Qian, Ting Zhang
2022	J	`jnl`	Description and demonstration guided data augmentation for sequence tagging. World Wide Web Zhuang Chen, Tieyun Qian
2022	J	`jnl`	Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Trans. Cybern. Jia Chen, Ming Zhong, Jianxin Li, Dianhui Wang, Tieyun Qian, Hang Tu
2022	—	`conf`	Enhancing Graph Convolution Network for Novel Recommendation. DASFAA (2) Xuan Ma, Tieyun Qian, Yile Liang, Ke Sun, Hang Yun, Mi Zhang
2022	J	`jnl`	Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Trans. Audio Speech Lang. Process. Mi Zhang, Tieyun Qian, Bing Liu
2022	A*	`conf`	Graph-based Model Generation for Few-Shot Relation Extraction. EMNLP Wanli Li, Tieyun Qian
2022	—	`conf`	Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) Congcong Jiang, Tieyun Qian, Bing Liu
2022	J	`jnl`	On the form of parsed sentences for relation extraction. Knowl. Based Syst. Xiaoying Chen, Mi Zhang, Shengwu Xiong, Tieyun Qian
2022	J	`jnl`	Retrieve-and-Edit Domain Adaptation for End2End Aspect Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. Zhuang Chen, Tieyun Qian
2021	—	`conf`	Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL/IJCNLP (1) Zhuang Chen, Tieyun Qian
2021	J	`jnl`	Business location planning based on a novel geo-social influence diffusion model. Inf. Sci. Qian Zeng, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Jianxin Li
2021	J	`jnl`	Context-aware seq2seq translation model for sequential recommendation. Inf. Sci. Ke Sun, Tieyun Qian, Xu Chen, Ming Zhong
2021	J	`jnl`	Efficient Sample Location Selection for Query Zone in Geo-Social Networks. Complex. Kejian Tang, Shaohui Zhan, Tao Zhan, Hui Zhu, Qian Zeng, Ming Zhong, Xiaoyu Zhu, Yuanyuan Zhu, Jianxin Li, Tieyun Qian
2021	A*	`conf`	Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin
2021	B	`conf`	Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction. IJCNN Wanli Li, Tieyun Qian, Xu Chen, Kejian Tang, Shaohui Zhan, Tao Zhan
2021	J	`jnl`	From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction. CoRR Wanli Li, Tieyun Qian
2021	—	`conf`	Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition. PRICAI (2) Congcong Jiang, Tieyun Qian, Zhuang Chen, Kejian Tang, Shaohui Zhan, Tao Zhan
2021	J	`jnl`	Intent Disentanglement and Feature Self-supervision for Novel Recommendation. CoRR Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng
2021	J	`jnl`	Multi-Scale Feature and Metric Learning for Relation Extraction. CoRR Mi Zhang, Tieyun Qian
2021	J	`jnl`	Recommending Accurate and Diverse Items Using Bilateral Branch Network. CoRR Yile Liang, Tieyun Qian
2021	J	`jnl`	Towards evolutionary knowledge representation under the big data circumstance. Electron. Libr. Xuhui Li, Liuyan Liu, Xiaoguang Wang, Yiwen Li, Qingfeng Wu, Tieyun Qian
2020	J	`jnl`	AGTR: Adversarial Generation of Target Review for Rating Prediction. Data Sci. Eng. Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
2020	J	`jnl`	ARTAN: Align reviews with topics in attention network for rating prediction. Neurocomputing Yile Liang, Tieyun Qian, Huilin Yu
2020	—	`conf`	Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu
2020	—	`conf`	Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. EMNLP (1) Mi Zhang, Tieyun Qian
2020	—	`conf`	Enhancing Aspect Term Extraction with Soft Prototypes. EMNLP (1) Zhuang Chen, Tieyun Qian
2020	J	`jnl`	Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction. CoRR Wanli Li, Tieyun Qian
2020	J	`jnl`	Generating behavior features for cold-start spam review detection with adversarial learning. Inf. Sci. Xiaoya Tang, Tieyun Qian, Zhenni You
2020	J	`jnl`	Relation constrained attributed network embedding. Inf. Sci. Yiqi Chen, Tieyun Qian
2020	A*	`conf`	Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL Zhuang Chen, Tieyun Qian
2020	A*	`conf`	Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, Hongzhi Yin
2019	—	`conf`	Align Reviews with Topics in Attention Network for Rating Prediction. DASFAA (3) Yile Liang, Tieyun Qian, Huilin Yu
2019	J	`jnl`	Aspect Aware Learning for Aspect Category Sentiment Analysis. ACM Trans. Knowl. Discov. Data Peisong Zhu, Zhuang Chen, Haojie Zheng, Tieyun Qian
2019	—	`conf`	Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention. ICONIP (2) Yunkai Yang, Tieyun Qian, Zhuang Chen
2019	J	`jnl`	Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence. J. Syst. Softw. Yongfeng Gu, Jifeng Xuan, Hongyu Zhang, Lanxin Zhang, Qingna Fan, Xiaoyuan Xie, Tieyun Qian
2019	—	`conf`	Generating Behavior Features for Cold-Start Spam Review Detection. DASFAA (3) Xiaoya Tang, Tieyun Qian, Zhenni You
2019	—	`conf`	Keyword Search Based Mashup Construction with Guaranteed Diversity. DEXA (2) Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian
2019	J	`jnl`	Patent expanded retrieval via word embedding under composite-domain perspectives. Frontiers Comput. Sci. Fei Wang, Tieyun Qian, Bin Liu, Zhiyong Peng
2019	J	`jnl`	Seq2seq Translation Model for Sequential Recommendation. CoRR Ke Sun, Tieyun Qian
2019	J	`jnl`	Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks. CoRR Tieyun Qian, Yile Liang, Qing Li
2019	J	`jnl`	Spatiotemporal Representation Learning for Translation-Based POI Recommendation. ACM Trans. Inf. Syst. Tieyun Qian, Bei Liu, Quoc Viet Hung Nguyen, Hongzhi Yin
2019	J	`jnl`	Towards a semantics representation framework for narrative images. Electron. Libr. Xuhui Li, Yanqiu Wu, Xiaoguang Wang, Tieyun Qian, Liang Hong
2019	—	`conf`	Towards both Local and Global Query Result Diversification. DASFAA (2) Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian, Jianxin Li
2019	—	`conf`	Transfer Capsule Network for Aspect Level Sentiment Classification. ACL (1) Zhuang Chen, Tieyun Qian
2019	A	`conf`	What Can History Tell Us? CIKM Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen
2018	A	`conf`	"Bridge": Enhanced Signed Directed Network Embedding. CIKM Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun
2018	B	`conf`	An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING Zhenni You, Tieyun Qian, Bing Liu
2018	—	`conf`	BASSI: Balance and Status Combined Signed Network Embedding. DASFAA (1) Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li
2018	B	`conf`	Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING Peisong Zhu, Tieyun Qian
2018	—	`conf`	Exploiting User and Item Attributes for Sequential Recommendation. ICONIP (5) Ke Sun, Tieyun Qian
2018	—	`conf`	Learning a Joint Representation for Classification of Networked Documents. ICONIP (5) Zhenni You, Tieyun Qian
2018	—	`conf`	Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. DASFAA (1) Ming Zhong, Qian Zeng, Yuanyuan Zhu, Jianxin Li, Tieyun Qian
2018	J	`jnl`	Time and Location Aware Points of Interest Recommendation in Location-Based Social Networks. J. Comput. Sci. Technol. Tieyun Qian, Bei Liu, Liang Hong, Zhenni You
2017	—	`conf`	Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. APWeb/WAIM (1) Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian
2017	—	`conf`	Exploit Label Embeddings for Enhancing Network Classification. DEXA (2) Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li
2017	—	`ed.`	Information Retrieval - 23rd China conference, CCIR 2017, Shanghai, China, July 13-14, 2017, Proceedings CCIR Ji-Rong Wen, Jian-Yun Nie, Tong Ruan, Yiqun Liu, Tieyun Qian
2017	J	`jnl`	Learning Spatiotemporal-Aware Representation for POI Recommendation. CoRR Bei Liu, Tieyun Qian, Bing Liu, Liang Hong, Zhenni You, Yuxiang Li
2017	—	`conf`	SLICE: Structural and Label Information Combined Embedding for Networks. ICONIP (2) Yiqi Chen, Tieyun Qian
2017	J	`jnl`	基于社会化表示的用户性别识别 (Identifying Users' Gender via Social Representations). 计算机科学 Peisong Zhu, Tieyun Qian, Minquan Wu
2016	—	`conf`	Automatic Reproducible Crash Detection. SATE Yongfeng Gu, Jifeng Xuan, Tieyun Qian
2016	—	`conf`	Fast Rare Category Detection Using Nearest Centroid Neighborhood. APWeb (1) Song Wang, Hao Huang, Yunjun Gao, Tieyun Qian, Liang Hong, Zhiyong Peng
2016	—	`conf`	Fast and accurate identification of implicit enterprise users in social media. WebDB Zhenni You, Diqian Wu, Yi Wang, Tieyun Qian
2016	—	`conf`	Identifying Implicit Enterprise Users from the Imbalanced Social Data. WISE (2) Zhenni You, Tieyun Qian, Baochao Zhang, Shi Ying
2016	—	`conf`	Inferring Lurkers' Gender by Their Interest Tags. DEXA (2) Peisong Zhu, Tieyun Qian, Zhenni You, Xuhui Li
2016	—	`conf`	Inferring Users' Gender from Interests: A Tag Embedding Approach. ICONIP (4) Peisong Zhu, Tieyun Qian, Ming Zhong, Xuhui Li
2016	—	`ed.`	Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data - First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers CCKS Huajun Chen, Heng Ji, Le Sun, Haixun Wang, Tieyun Qian, Tong Ruan
2016	B	`conf`	Learning User Embedding Representation for Gender Prediction. ICTAI Li Chen, Tieyun Qian, Peisong Zhu, Zhenni You
2016	—	`conf`	Modeling for Noisy Labels of Crowd Workers. APWeb (2) Qian Yan, Hao Huang, Yunjun Gao, Chen Ying, Qingyang Hu, Tieyun Qian, Qinming He
2016	—	`conf`	Social Spammer Detection via Structural Properties in Ego Network. SMP Baochao Zhang, Tieyun Qian, Yiqi Chen, Zhenni You
2016	J	`jnl`	Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu
2015	B	`conf`	Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. ICTAI Guoliang He, Yong Duan, Yifei Li, Tieyun Qian, Jinrong He, Xiangyang Jia
2015	—	`conf`	Age Detection for Chinese Users in Weibo. WAIM Li Chen, Tieyun Qian, Fei Wang, Zhenni You, Qingxi Peng, Ming Zhong
2015	—	`conf`	Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feeds. WAIM Jiahui Zhu, Xuhui Li, Min Peng, Jiajia Huang, Tieyun Qian, Jimin Huang, Jiping Liu, Ri Hong, Pinglan Liu
2015	—	`ed.`	Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Hanoi, Vietnam, April 20-23, 2015, Revised Selected Papers DASFAA Workshops An Liu, Yoshiharu Ishikawa, Tieyun Qian, Sarana Nutanong, Muhammad Aamir Cheema
2015	J	`jnl`	Early classification on multivariate time series. Neurocomputing Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, Lingling Wang
2015	—	`conf`	LDM: A DTD Schema Mapping Language Based on Logic Patterns. WAIM Xuhui Li, Yijun Guan, Mengchi Liu, Rui Cai, Ming Zhong, Tieyun Qian
2015	J	`jnl`	Review Authorship Attribution in a Similarity Space. J. Comput. Sci. Technol. Tieyun Qian, Bing Liu, Qing Li, Jianfeng Si
2014	—	`conf`	Authorship Attribution with Very Few Labeled Data: A Co-training Approach. WAIM Mengdi Fan, Tieyun Qian, Li Chen, Bin Liu, Ming Zhong, Guoliang He
2014	A*	`conf`	Co-training on authorship attribution with very fewlabeled examples: methods vs. views. SIGIR Tieyun Qian, Bing Liu, Ming Zhong, Guoliang He
2014	J	`jnl`	Exploiting small world property for network clustering. World Wide Web Tieyun Qian, Qing Li, Jaideep Srivastava, Zhiyong Peng, Yang Yang, Shuo Wang
2014	J	`jnl`	Topic formation and development: a core-group evolving process. World Wide Web Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu
2014	—	`conf`	Tri-Training for Authorship Attribution with Limited Training Data. ACL (2) Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng
2014	J	`jnl`	Users' interest grouping from online reviews based on topic frequency and order. World Wide Web Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng
2013	—	`conf`	A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks. ADMA (1) Bin Liu, Tieyun Qian
2013	—	`conf`	An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts. MIKE Hongwei Yao, Tieyun Qian, Li Chen, Manyun Qian, Xueyu Mo
2013	—	`conf`	Detecting Professional Spam Reviewers. ADMA (2) Junlong Huang, Tieyun Qian, Guoliang He, Ming Zhong, Qingxi Peng
2013	A	`conf`	Early prediction on imbalanced multivariate time series. CIKM Guoliang He, Yong Duan, Tieyun Qian, Xu Chen
2013	A*	`conf`	Identifying Multiple Userids of the Same Author. EMNLP Tieyun Qian, Bing Liu
2013	—	`conf`	MVP Index: Towards Efficient Known-Item Search on Large Graphs. DASFAA (1) Ming Zhong, Mengchi Liu, Zhifeng Bao, Xuhui Li, Tieyun Qian
2012	—	`conf`	Discovering K Web User Groups with Specific Aspect Interests. MLDM Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng
2012	—	`conf`	Hierarchical Clustering on HDP Topics to build a Semantic Tree from Text. VLDS Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng
2012	C	`conf`	Leveraging Network Structure for Incremental Document Clustering. APWeb Tieyun Qian, Jianfeng Si, Qing Li, Qian Yu
2011	—	`conf`	A framework for evaluating network measures for functional importance. WWW (Companion Volume) Tieyun Qian, Qing Li, Jaideep Srivastava
2011	—	`conf`	Finding Relevant Papers Based on Citation Relations. WAIM Yicong Liang, Qing Li, Tieyun Qian
2011	—	`ed.`	Web-Age Information Management - 12th International Conference, WAIM 2011, Wuhan, China, September 14-16, 2011. Proceedings WAIM Haixun Wang, Shijun Li, Satoshi Oyama, Xiaohua Hu, Tieyun Qian
2010	—	`conf`	Influence maximization through identifying seed nodes from implicit social networks. ICUIMC Tieyun Qian, Jiangbo Liu
2010	B	`conf`	Refining Graph Partitioning for Social Network Clustering. WISE Tieyun Qian, Yang Yang, Shuo Wang
2009	B	`conf`	Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method. PAKDD Tieyun Qian, Jaideep Srivastava, Zhiyong Peng, Phillip C.-Y. Sheu
2009	A	`conf`	What's behind topic formation and development: a perspective of community core groups. CIKM Tieyun Qian, Qing Li, Bing Liu, Hui Xiong, Jaideep Srivastava, Phillip C.-Y. Sheu
2008	—	`conf`	A Scientific Theme Emergence Detection Approach Based on Citation Graph Analysis. ICTAI (2) Tieyun Qian, Phillip C.-Y. Sheu, Shijun Li, Lina Wang
2008	J	`jnl`	Efficient strategies for tough aggregate constraint-based sequential pattern mining. Inf. Sci. Enhong Chen, Huanhuan Cao, Qing Li, Tieyun Qian
2007	J	`jnl`	On the strength of hyperclique patterns for text categorization. Inf. Sci. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen
2006	A	`conf`	Adapting association patterns for text categorization: weaknesses and enhancements. CIKM Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen
2006	B	`conf`	An Evolutionary Computational Method for N-Connection Subgraph Discovery. ICTAI Enhong Chen, Xujia Chen, Phillip C.-Y. Sheu, Tieyun Qian
2006	—	`conf`	Feature Selection, Rule Extraction, and Score Model: Making ATC Competitive with SVM. RSKT Tieyun Qian, Yuanzhen Wang, Langgang Xiang, Weihua Gong
2005	B	`conf`	2-PS Based Associative Text Classification. DaWaK Tieyun Qian, Yuanzhen Wang, Hao Long, Jianlin Feng