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Conferences and Workshops

2023

Zihao Wang, Yangqiu Song, Ginny Y. Wong, Simon See. Logical Message Passing Networks with One-hop Inference on Atomic Formulas. International Conference on Learning Representations (ICLR). 2023. [pdf]
Hongming Zhang, Yintong Huo, Yanai Elazar, Yangqiu Song, Yoav Goldberg and Dan Roth. CIKQA: Learning Commonsense Inference with a Unified Knowledge-in-the-loop QA Paradigm. Findings of EACL. 2023. [pdf]
Zizheng Lin, Hongming Zhang and, Yangqiu Song. Global Constraints with Prompting for Zero-Shot Event Argument Classification. Findings of EACL. 2023. [pdf]

2022

Huiru Xiao, Xin Liu, Yangqiu Song, Ginny Y. Wong, and Simon See. PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf]
Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Y. Wong, and Simon See. SubeventWriter: Iterative Sub-event Sequence Generation with Coherence Controller. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf]
Changlong Yu, Tianyi Xiao, Lingpeng Kong, Yangqiu Song, and Wilfred Ng. An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf]
Ying Su, Zihao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song, and Tong Zhang. MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation. Findings of EMNLP. 2022. [pdf]
Tianqing Fang, Quyet V. Do, Hongming Zhang, Yangqiu Song, Ginny Y. Wong, and Simon See. PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population. Findings of EMNLP. 2022. [pdf]
Ying Su, Hongming Zhang, Yangqiu Song, and Tong Zhang. Multilingual Word Sense Disambiguation with Unified Sense Representation. International Conference on Computational Linguistics (COLING). 2022. [pdf]
Yinghua Zhang, Yangqiu Song, Kun Bai, and Qiang Yang. Cross-domain Cross-architecture Black-box Attacks on Fine-tuned Models with Transferred Evolutionary Strategies. ACM Conference on Information and Knowledge Management (CIKM), 2022. [pdf]
Xin Liu, Jiayang Cheng, Yangqiu Song, and Xin Jiang. Boosting Graph Structure Learning with Dummy Nodes. International Conference on Machine Learning (ICML), 2022. [pdf]
Ziqian Zeng, Weimin Ni, Tianqing Fang, Xiang Li, Xinran Zhao, and Yangqiu Song. Weakly Supervised Text Classification using Supervision Signals from a Language Model. Findings of NAACL. 2022. [pdf]
Jiaxin Bai, Zihao Wang, Hongming Zhang, and Yangqiu Song. Query2Particles: Knowledge Graph Reasoning with Particle Embeddings. Findings of NAACL. 2022. [pdf]
Haoran Li, Yangqiu Song, and Lixin Fan. You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas. Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2022. [pdf]
Xinran Zhao, Hongming Zhang, and Yangqiu Song. PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English. Language Resources and Evaluation (LREC). 2022.
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng. CoCoLM: COmplex COmmonsense Enhanced Language Model. Findings of ACL, 2022. [pdf]
Ying Su, Hongming Zhang, Yangqiu Song, and Tong Zhang. Rare and Zero-shot Word Sense Disambiguation using Z-Reweighting. Annual Meeting of the Association for Computational Linguistics (ACL), 2022.
Xin Liu and Yangqiu Song. Graph Convolutional Networks with Dual Message Passing for Subgraph Isomorphism Counting and Matching. AAAI Conference on Artificial Intelligence (AAAI), 2022. [pdf]

2021

Zihao Wang*, Hang Yin*, and Yangqiu Song. Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs. Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track. 2021. [pdf]
Tianqing Fang*, Weiqi Wang*, Sehyun Choi, Shibo Hao, Hongming Zhang, Yangqiu Song, and Bin He. Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. [pdf]
Xintong Yu, Hongming Zhang, Yangqiu Song, Changshui Zhang, Kun Xu, Dong Yu. Exophoric Pronoun Resolution in Dialogues with Topic Regularization. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. [pdf]
Wenyi Xiao, Huan Zhao, Vincent W. Zheng, and Yangqiu Song. Neural PathSim for Inductive Similarity Search in Heterogeneous Information Networks, ACM Conference on Information and Knowledge Management (CIKM). 2021. [pdf]
Hao Peng, Haoran Li, Yangqiu Song, Vincent Zheng, Jianxin Li. Differentially Private Federated Knowledge Graphs Embedding, ACM Conference on Information and Knowledge Management (CIKM). 2021. [pdf]
Zizheng Lin, Haowen Ke, Ngo-Yin Wong, Jiaxin Bai, Yangqiu Song, Huan Zhao, and Junpeng Ye. Multi-Relational Graph based Heterogeneous Multi-Task Learning in Community Question Answering, ACM Conference on Information and Knowledge Management (CIKM). 2021. [pdf]
Tianqing Fang, Haojie Pan, Hongming Zhang, Yangqiu Song, Kun Xu, Dong Yu. Do Boat and Ocean Suggest Beach? Dialogue Summarization with External Knowledge. Conference on Automated Knowledge Base Construction (AKBC). 2021. [pdf]
Huiru Xiao and Yangqiu Song. Manifold Alignment across Geometric Spaces for Knowledge Base Representation Learning. Conference on Automated Knowledge Base Construction (AKBC). 2021. [pdf] (Outstanding Paper Award)
Haotian Li, Yong Wang, Songheng Zhang, Yangqiu Song, and Huamin Qu. 2021. KG4Vis: A Knowledge Graph-Based Approach for Visualization Recommendation. IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VIS 2021). [pdf] (Best Paper Honorable Mention Award)
Xin Liu, Jiefu Ou, Yangqiu Song, and Xin Jiang. Exploring Discourse Structures for Argument Impact Classification. Annual Meeting of the Association for Computational Linguistics (ACL). 2021. [pdf]
Nedjma Ousidhoum, Xinran Zhao, Tianqing Fang, Yangqiu Song, and Dit-Yan Yeung. Probing Toxic Content in Large Pre-Trained Language Models. Annual Meeting of the Association for Computational Linguistics (ACL). 2021. [pdf]
Hongliang Dai, Yangqiu Song, and Haixun Wang: Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Model. Annual Meeting of the Association for Computational Linguistics (ACL). 2021. [pdf]
Tianqing Fang, Hongming Zhang, Weiqi Wang, Yangqiu Song, and Bin He. DISCOS: Bridging the Gap between Discourse Knowledge and Commonsense Knowledge. The Web Conference (WWW), 2021. [pdf]
Jiaxin Bai, Hongming Zhang, Yangqiu Song and Kun Xu. Joint Coreference Resolution and Character Linking for Multiparty Conversation, Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2021 [pdf]
Ziqian Zeng and Yangqiu Song. Variational Weakly Supervised Sentiment Analysis with Posterior Regularization, Conference of the European Chapter of the Association for Computational Linguistics (EACL). 2021. [pdf]
Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James Foulds, Yangqiu Song, and Shimei Pan. Fair Representation Learning for Heterogeneous Information Networks, International AAAI Conference on Web and Social Media (ICWSM). 2021. [pdf]

2020

Nedjma Ousidhoum, Yangqiu Song, and Dit-Yan Yeung. Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [pdf]
Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, and Dan Roth. Analogous Process Structure Induction for Sub-event Sequence Prediction. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [pdf]
Changlong Yu, Jialong Han, Peifeng Wang, Yangqiu Song, Hongming Zhang, Wilfred Ng, and Shuming Shi. When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [pdf]
Haotian Li, Huan Wei, Yong Wang, Yangqiu Song, Huamin Qu. Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network, ACM Conference on Information and Knowledge Management (CIKM). 2020. [pdf]
Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, and Qiang Yang. Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2020. [pdf]
Xin Liu, Haojie Pan, Mutian He, Yangqiu Song, Xin Jiang, and Lifeng Shang. Neural Subgraph Isomorphism Counting. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2020. [pdf]
Changlong Yu, Hongming Zhang, Yangqiu Song, Wilfred Ng, Lifeng Shang . Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations. Conference on Automated Knowledge Base Construction (AKBC). 2020. [pdf]
Hongliang Dai, Yangqiu Song, and Xin Li. Exploiting Semantic Relations for Fine-grained Entity Typing. Conference on Automated Knowledge Base Construction (AKBC). 2020. [pdf]
Xin Liu, Jiefu Ou, Yangqiu Song, and Xin Jiang. On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification. International Joint Conference on Artificial Intelligence (IJCAI). 2020. [pdf]
Hongming Zhang, Daniel Khashabi, Yangqiu Song, and Dan Roth. TransOMCS: From Linguistic Graphs to Commonsense Knowledge. International Joint Conference on Artificial Intelligence (IJCAI). 2020. [pdf]
Hongming Zhang*, Xinran Zhao*, and Yangqiu Song. WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge. Annual Meeting of the Association for Computational Linguistics (ACL). 2020. [pdf]
Chin Lee, Hongliang Dai, Yangqiu Song, and Xin Li. A Chinese Corpus for Fine-grained Entity Typing. Language Resources and Evaluation (LREC). 2020. [pdf]
Wenyi Xiao, Huan Zhao, Vincent W. Zheng, and Yangqiu Song. Vertex-reinforced Random Walk for Network Embedding. SIAM International Conference on Data Mining (SDM). 2020. [pdf]
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, and Qiang Yang. Fisher Deep Domain Adaptation. SIAM International Conference on Data Mining (SDM). 2020. [pdf]
Hongming Zhang*, Xin Liu*, Haojie Pan*, Yangqiu Song, and Cane Wing-Ki Leung. ASER: A Large-scale Eventuality Knowledge Graph. The Web Conference (WWW). 2020. [pdf]

2019

Hongming Zhang*, Jiaxin Bai*, Yan Song, Kun Xu, Changlong Yu, Yangqiu Song, Wilfred Ng, and Dong Yu. Multiplex Word Embeddings for Selectional Preference Acquisition. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2019. [pdf]
Xintong Yu*, Hongming Zhang*, Yangqiu Song, Yan Song, and Changshui Zhang. What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues. Conference on Empirical Methods in Natural Language Processing (EMNLP). 2019. [pdf]
Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, and Dit-Yan Yeung. Multilingual and Multi-Aspect Hate Speech Analysis. Conference on Empirical Methods on Natural Language Processing (EMNLP), 2019. [pdf]
Hongliang Dai, Donghong Du, Xin Li, and Yangqiu Song. Improving Fine-grained Entity Typing with Entity Linking. Conference on Empirical Methods on Natural Language Processing (EMNLP), 2019. [pdf]
Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, and Hao Peng. HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding, ACM Conference on Information and Knowledge Management (CIKM). 2019. [pdf]
Huan Zhao, Yingqi Zhou, Yangqiu Song, and Dik Lun Lee. Motif Enhanced Recommendation over Heterogeneous Information Network, ACM Conference on Information and Knowledge Management (CIKM). 2019. [pdf]
Jie Huang, Xin Liu, and Yangqiu Song. Hyper-Path-Based Representation Learning for Hyper-Networks, ACM Conference on Information and Knowledge Management (CIKM). 2019. [pdf]
Hongming Zhang, Hantian Ding, and Yangqiu Song. SP-10K: A Large-Scale Evaluation Set for Selectional Preference Acquisition. Annual Meeting of the Association for Computational Linguistics (ACL). 2019. [pdf]
Hongming Zhang, Yan Song, Yangqiu Song, and Dong Yu. Knowledge-aware Pronoun Coreference Resolution. Annual Meeting of the Association for Computational Linguistics (ACL). 2019. [pdf]
Hongliang Dai and Yangqiu Song. Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision. Annual Meeting of the Association for Computational Linguistics (ACL). 2019. [pdf]
Hao Peng, Jianxin Li, Qirang Gong, Yangqiu Song, Yuanxin Ning, Kunfeng Lai, and Philip Yu. Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. International Joint Conference on Artificial Intelligence (IJCAI). 2019.
Wenyi Xiao, Huan Zhao, Haojie Pan, Yangqiu Song, Vincent W. Zheng, and Qiang Yang. Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2019. [pdf]
Yan Liang, Xin Liu, Jianwen Zhang, and Yangqiu Song. Relation Discovery with Out-of-Relation Knowledge Base as Supervision . North American Chapter of the Association for Computational Linguistics (NAACL-HLT). 2019. [pdf]
Hongming Zhang, Yan Song, and Yangqiu Song. Incorporating Context and External Knowledge for Pronoun Coreference Resolution. North American Chapter of the Association for Computational Linguistics (NAACL-HLT). 2019. [pdf]
Ziqian Zeng, Wenxuan Zhou, Xin Liu, and Yangqiu Song. A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. North American Chapter of the Association for Computational Linguistics (NAACL-HLT). 2019. [pdf]
Huiru Xiao, Xin Liu, and Yangqiu Song. Efficient Path Prediction for Semi-Supervised and Weakly Supervised Hierarchical Text Classification, The Web Conference (WWW). 2019. [pdf]

2018

Ruixiang Zhang, Tong Che, Zoubin Grahahramani, Yoshua Bengio, Yangqiu Song. MetaGAN: An Adversarial Approach to Few-Shot Learning. Conference on Neural Information Processing Systems (NeurIPS), 2018. [pdf]
Hongliang Dai, Yangqiu Song, Liwei Qiu, and Rijia Liu. Entity Linking within a Social Media Platform: A Case Study on Yelp. Conference on Empirical Methods on Natural Language Processing (EMNLP), 2018. [pdf]
Ziqian Zeng*, Xin Liu*, and Yangqiu Song. Biased Random Walk based Social Regularization for Word Embeddings. International Joint Conference on Artificial Intelligence (IJCAI). 2018. [pdf]
Hongming Zhang, Liwei Qiu, Lingling Yi, and Yangqiu Song. Scalable Multiplex Network Embedding. International Joint Conference on Artificial Intelligence (IJCAI). 2018. [pdf]
Yu He, Jianxin Li, Yangqiu Song, Mutian He, and Hao Peng. Time-evolving Text Classification with Deep Neural Networks. International Joint Conference on Artificial Intelligence (IJCAI). 2018. [pdf]
Daniel Khashabi, Mark Sammons, Ben Zhou, Tom Redman, Christos Christodoulopoulos, Vivek Srikumar, Nicholas Rizzolo, Lev Ratinov, Guanheng Luo, Quang Do, Chen-Tse Tsai, Subhro Roy, Stephen Mayhew, Zhilli Feng, John Wieting, Xiaodong Yu, Yangqiu Song, Shashank Gupta, Shyam Upadhyay, Naveen Arivazhagan, Qiang Ning, Shaoshi Ling, Dan Roth. CogCompNLP: Your Swiss Army Knife for NLP. Language Resources and Evaluation Conference (LREC). 2018.
Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, LihongWang, Yangqiu Song, and Qiang Yang. Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN, The Web Conference (WWW). 2018. [pdf]
Yaopeng Liu, Hao Peng, Jie Guo, Tao He, Xiong Li, Yangqiu Song, and Jianxin Li. Event Detection and Evolution Based on Knowledge Base, WSDM workshop on KBCOM. 2018. [pdf] (Best Paper Honorable Mention Award)
Huan Zhao*, Xiaogang Xu*, Yangqiu Song, Dik Lun Lee, Zhao Chen, and Han Gao. Ranking Users in Social Networks with Higher-Order Structures, AAAI Conference on Artificial Intelligence (AAAI). 2018. [pdf]
Chen Li, Jianxin Li, Yangqiu Song, and Ziwei Lin. Training and Evaluating Improved Dependency-Based Word Embeddings, AAAI Conference on Artificial Intelligence (AAAI). 2018. [pdf]

2017

Chenguang Wang, Yangqiu Song, Haoran Li, Yizhou Sun, Ming Zhang, and Jiawei Han. Distant Meta-Path Similarities for Text-Based Heterogeneous Information Networks, ACM Conference on Information and Knowledge Management (CIKM). 2017. [pdf]
Tao Han, Hailong Sun, Yangqiu Song, Zizhe Wang, and Xudong Liu, Budgeted Task Scheduling for Crowdsourced Knowledge Acquisition, ACM Conference on Information and Knowledge Management (CIKM). 2017. [pdf]
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, and Huamin Qu. Understanding Hidden Memories of Recurrent Neural Networks. IEEE Conference on Visual Analytics Science and Technology (VAST), 2017. (This paper won the Grand Prize Best Paper Award in Yelp Dataset Challenge - Round 10)
Yichun Yin, Yangqiu Song, and Ming Zhang. Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension. Conference on Empirical Methods on Natural Language Processing (EMNLP), 2017. [pdf]
Jinxing Yu, Xun Jian, Hao Xin, and Yangqiu Song. Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components. Conference on Empirical Methods on Natural Language Processing (EMNLP), 2017. (Extension of a course project in COMP6211A@HKUST, 2016) [pdf]
Yichun Yin, Yangqiu Song, and Ming Zhang. NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings. The 11th International Workshop on Semantic Evaluations (SemEval-2017), 2017. [pdf]
Shifu Hou, Yanfang Ye, Yangqiu Song, and Melih Abdulhayoglu. HinDroid: An Intelligent Android Malware Detection System Based on Structured Heterogeneous Information Network. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD, Applied Data Science Track). 2017. [pdf] [video] [news] (Best paper and best student paper in applied data science track, 1 out of 75 accepted papers among 396 submissions.)
Huan Zhao, Quanming Yao, Jianda Li, Yangqiu Song, and Dik Lun Lee. Meta-Graph Based Recommendation Fusion over Heterogeneous Information Networks. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2017. [pdf]
Ziqian Zeng, Yichun Yin, Yangqiu Song, and Ming Zhang. Socialized Word Embeddings. International Joint Conference on Artificial Intelligence (IJCAI). 2017. [pdf]
He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, and Yizhou Sun. Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random Walks. International Joint Conference on Artificial Intelligence (IJCAI). 2017. [pdf]
Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, and Wei Wang. KBQA: Learning Question Answering over QA Corpora and Knowledge Bases. VLDB, 2017.
Hao Peng, Jianxin Li, Yangqiu Song, and Yaopeng Liu. Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. AAAI Conference on Artificial Intelligence (AAAI), 2017.[pdf]

2016

Yangqiu Song, Stephen Mayhew, and Dan Roth. Cross-lingual Dataless Classification for Languages with Small Wikipedia Presence. arXiv:1611.04122. 2016. [pdf]
Chen-Tse Tsai, Yangqiu Song, Stephen Mayhew, Mark Sammons, and Dan Roth. Illinois CCG LoReHLT 2016 Named Entity Recognition and Situation Frame Systems. LoReHLT. 2016. [ppt] [pdf]
Haoruo Peng, Yangqiu Song, and Dan Roth. Event Detection and Co-reference with Minimal Supervision. Conference on Empirical Methods on Natural Language Processing (EMNLP). 2016. [pdf]
Shaoshi Ling, Yangqiu Song, Dan Roth. Word embeddings with Limited Memory. Annual Meeting of the Association for Computational Linguistics (ACL). 2016. [pdf]
Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, and Mercan Topkara. Improving Topic Model Stability for Effective Document Exploration. International Joint Conference on Artificial Intelligence (IJCAI), Sister Conference Best Paper Track. 2016.
Yangqiu Song, Shyam Upadhyay, Haoruo Peng, and Dan Roth. Cross-lingual Dataless Classification for Many Languages. International Joint Conference on Artificial Intelligence (IJCAI). 2016. [pdf]
Tao Han, Hailong Sun, Yangqiu Song, Yili Fang, and Xudong Liu. Incorporating External Knowledge into Crowd Intelligence for More Specific Knowledge Acquisition. International Joint Conference on Artificial Intelligence (IJCAI). 2016. [pdf]
Chenguang Wang, Yizhou Sun, Yanglei Song, Jiawei Han, Yangqiu Song, Lidan Wang, and Ming Zhang. Querying Similar Relations in Schema-Rich Heterogeneous Information Networks. SIAM International Conference on Data Mining (SDM). 2016.
Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, and Jiawei Han, Text Classification with Heterogeneous Information Network Kernels, AAAI Conference on Artificial Intelligence (AAAI). 2016. [pdf]
Yangxin Zhong, Shixia Liu, Xiting Wang, Jiannan Xiao, and Yangqiu Song. Tracking Idea Flows between Social Groups. AAAI Conference on Artificial Intelligence (AAAI). 2016. [pdf]
Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, and Qiang Yang. Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI Conference on Artificial Intelligence (AAAI). 2016. [pdf]

2015

Mark Sammons, Haoruo Peng, Yangqiu Song, Shyam Upadhyay, Chen-Tse Tsai, Pavankumar Reddy, Subhro Roy, and Dan Roth. Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. TAC. 2015.
Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, and Jiawei Han. KnowSim: A Document Similarity Measure on Structured Heterogeneous Information Networks. IEEE International Conference on Data Mining (ICDM). 2015.
Deqing Yang, Yanghua Xiao, Yangqiu Song, and Wei Wang. Semantic-based Recommendation Across Heterogeneous Domains,. IEEE International Conference on Data Mining (ICDM). 2015.
Yangqiu Song, Haoruo Peng, Parisa Kordjamshidi, Mark Sammons, and Dan Roth. Improving a Pipeline Architecture for Shallow Discourse Parsing. CoNLL shared task. 2015. (Ranked 5th out of 17 teams). [pdf]
Chenguang Wang, Yangqiu Song, Ahmed El-Kishky, Dan Roth, Ming Zhang, and Jiawei Han. Incorporating World Knowledge to Document Clustering via Heterogeneous Information Networks. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2015. [pdf]
Ben Tan, Yangqiu Song, Erheng Zhong, and Qiang Yang. Transitive Transfer Learning. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2015.
Yangqiu Song, Shusen Wang, and Haixun Wang. Open Domain Short Text Conceptualization: A Generative + Descriptive Modeling Approach. International Joint Conference on Artificial Intelligence (IJCAI). 2015. [pdf]
Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, and Ming Zhang. Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations. International Joint Conference on Artificial Intelligence (IJCAI). 2015. [pdf] [supplementary material]
Yangqiu Song and Dan Roth. Unsupervised Sparse Vector Densification for Short Text Similarity. North American Chapter of the Association for Computational Linguistics (NAACL-HLT) 2015. (short paper) [pdf]
Yi Yang, Shimei Pan, Yangqiu Song, Jie Lu, and Mercan Topkara. User-directed Non-disruptive Topic Model Update for Effective Exploration of Dynamic Content. International Conference on Intelligent User Interfaces (IUI). 2015. (Best Paper Award–Honorable Mention) [pdf]
Fangzhao Wu, Yangqiu Song, and Yongfeng Huang. Microblog Sentiment Classification with Contextual Knowledge Regularization. AAAI Conference on Artificial Intelligence (AAAI). 2015. [pdf]
Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, and Qiang Yang. Spectral Label Refinement for Noisy and Missing Text Labels. AAAI Conference on Artificial Intelligence (AAAI). 2015. [pdf]
Heting Wu, Hailong Sun, Yili Fang, Kefan Hu, Yongqing Xie, Yangqiu Song, and Xudong Liu. Combining Machine Learning and Crowdsourcing for Better Understanding Commodity Reviews. AAAI Conference on Artificial Intelligence (AAAI). 2015. (Student Abstract and Poster Program)

2014

Mark Sammons, Yangqiu Song, Ruichen Wang, Gourab Kundu, Chen-Tse Tsai, Shyam Upadhyay, Siddarth Ancha, Stephen Mayhew, and Dan Roth. Overview of UI-CCG Systems for Event Argument Extraction, Entity Discovery and Linking, and Slot Filler Validation. TAC. 2014. [slides][pdf]
Yangqiu Song, Haixun Wang, Weizhu Chen and Shusen Wang. Transfer Understanding from Head Queries to Tail Queries. ACM Conference on Information and Knowledge Management (CIKM), 2014. [pdf]
Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, and Qiang Yang. Scalable Heterogeneous Translated Hashing. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2014.[pdf] (One of the nine selected best papers for TKDD, 9 out of 151 accepted papers among 1036 submissions.)
Yangqiu Song and Dan Roth. On Dataless Hierarchical Text Classification. AAAI Conference on Artificial Intelligence (AAAI). 2014. [pdf][Code]
Deqing Yang, Yanghua Xiao, Yangqiu Song, Junjun Zhang, Kezun Zhang and Wei Wang. Tag Propagation Based Recommendation across Diverse Social Media. ACM International World-Wide Web Conference (WWW), 2014. (Poster)

2013

Fangzhao Wu, Yangqiu Song, Shixia Liu, Yongfeng Huang and Zhenyu Liu. Lead-Lag Analysis via Sparse Co-Projection in Correlated Text Streams. ACM Conference on Information and Knowledge Management (CIKM). 2013. [pdf]
Yangqiu Song, Zhengdong Lu, Cane Wing-ki Leung and Qiang Yang. Collaborative Boosting for Activity Classification in Microblogs. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2013. [pdf]
Xiting Wang, Shixia Liu, Yangqiu Song and Baining Guo. Mining Evolutionary Multi-Branch Trees from Text Streams. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). 2013. [pdf]
Shimei Pan, Michelle Zhou, Yangqiu Song, Weihong Qian, Fei Wang, Shixia Liu. Optimizing Temporal Topic Segmentation for Intelligent Text Visualization. International Conference on Intelligent User Interfaces (IUI). 2013. [pdf]
Wen Hua, Yangqiu Song, Haixun Wang and Xiaofang Zhou. Identifying Users’ Topical Tasks in Web Search. ACM Conference on Web Search and Data Mining (WSDM). pp. 93–102, 2013. [pdf]

2012

Xueqing Liu, Yangqiu Song, Shixia Liu and Haixun Wang. Automatic Taxonomy Construction from Keywords. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). pp. 1433–1441, 2012. [pdf]

2011

Zekai J. Gao, Yangqiu Song, Shixia Liu, Haixun Wang, Hao Wei, Yang Chen and Weiwei Cui. Tracking and Connecting Topics via Incremental Hierarchical Dirichlet Processes. IEEE International Conference on Data Mining (ICDM). 2011. [pdf]
Erik Cambria, Yangqiu Song, Haixun Wang and Amir Hussain. Isanette: A Common and Common Sense Knowledge Base for Opinion Mining. ICDM workshop on DMCCI. 2011. [pdf]
Yangqiu Song, Haixun Wang, Zhongyuan Wang, Hongsong Li and Weizhu Chen. Short Text Conceptualization using a Probabilistic Knowledgebase. International Joint Conference on Artificial Intelligence (IJCAI). 2330-2336, 2011. [pdf]

2010

Zheng Wang, Yangqiu Song and Changshui Zhang. Homotopy Regularization for Boosting. IEEE International Conference on Data Mining (ICDM), pp. 1115-1120, 2010.
Shixia Liu, Yangqiu Song, Furu Wei, Shimie Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan and Qiang Zhang. TIARA: Visually Analyzing Topic Evolution in Large Text Collections (Demo paper). ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2010.
Furu Wei, Shixia Liu, Yangqiu Song, Shimie Pan, Michelle X. Zhou, Weihong Qian, Lei Shi, Li Tan and Qiang Zhang. TIARA: A Visual Exploratory Text Analytic System. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD, Industrial Track), pp. 153–162, 2010. [pdf]
Jianwen Zhang, Yangqiu Song, Changshui Zhang and Shixia Liu. Evolutionary Hierarchical Dirichlet Processes for Multiple Correlated Time-varying Corpora. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), pp. 1079–1088, 2010. [pdf]
Yangqiu Song, Shimei Pan, Shixia Liu, Furu Wei, Michelle X. Zhou and Weihong Qian. Constrained Co-clustering for Textual Documents. AAAI Conference on Artificial Intelligence (AAAI), 2010.[pdf]

2009

Yangqiu Song, Shimei Pan, Shixia Liu, Michelle X. Zhou and Weihong Qian. Topic and Keyword Re-ranking for LDA-based Topic Modeling. ACM Conference on Information and Knowledge Management (CIKM), pp. 1757–1760, 2009. [pdf] [slides]
Jianwen Zhang, Yangqiu Song, Gang Chen and Changshui Zhang. On-line Evolutionary Exponential Family Mixture. International Joint Conference on Artificial Intelligence (IJCAI), pp. 1610–1615, 2009. [pdf]
Zheng Wang, Yangqiu Song and Changshui Zhang. Knowledge Transfer on Hybrid Graph. International Joint Conference on Artificial Intelligence (IJCAI), pp. 1291–1296, 2009. [pdf]
Zheng Wang, Yangqiu Song and Changshui Zhang. Efficient Active Learning with Boosting. SIAM International Conference on Data Mining (SDM), 2009. [pdf]

2008

Shouchun Chen, Fei Wang, Yangqiu Song and Changshui Zhang. Semi-supervised Ranking Aggregation. ACM Conference on Information and Knowledge Management (CIKM), pp. 1427–1428, 2008.
Yangqiu Song, Wen-Yen Chen, Hongjie Bai, Chih-Jen Lin and Edward Chang. Parallel Spectral Clustering. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), pp. 374–389, 2008. [pdf] [code]
Zheng Wang, Yangqiu Song and Changshui Zhang. Transferred Discriminant Analysis. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), pp. 550–565, 2008. [pdf]
Gengxin Miao, Yangqiu Song, Dong Zhang and Hongjie Bai. Parallel Spectral Clustering Algorithm for Large-Scale Community Data Mining. WWW workshop on Social Web Search and Mining (SWSM), 2008. [pdf] [ppt]
Gang Chen, Yangqiu Song, Fei Wang and Changshui Zhang. Semi-Supervised Multi-label Learning by Solving a Sylvester Equation. The SIAM Conference on Data Mining (SDM), pp. 410–419, 2008.[pdf]
Qutang Cai, Yangqiu Song and Changshui Zhang. Cost Sensitive Boosting Algorithms as Gradient Descent. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 2009–2012, 2008. [pdf]
Bin Zhao, Fei Wang, Changshui Zhang and Yangqiu Song. Active Model Selection in Graph-Based Semi-Supervised Learning. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 1881–1884, 2008.[pdf]
Bin Zhang, Yangqiu Song, Wenjun Yin, Ming Xie, Jin Dong and Changshui Zhang. Semi-Supervised Dimensionality Reduction for Image Retrieval. SPIE Visual Communications and Image Processing (VCIP), pp. 682225-9, 2008. [pdf]

2007

Dan Zhang, Yangqiu Song, Qifeng Qiao, Zhenwei Shi and Changshui Zhang. A Supervised Method to Chart Multiple Manifolds. ACCV Workshop on Subspace, 2007.
Dan Zhang, Zhenwei Shi, Yangqiu Song and Changshui Zhang. Localized Content-Based Image Retrieval using Semi-Supervised Multiple Instance Learning. Asian Conference on Computer Vision (ACCV), pp. 180–188, 2007. [pdf]
Yangqiu Song, Bin Zhang, Wenjun Yin, Changshui Zhang and Jin Dong. Ranking with Semi-Supervised Distance Metric Learning and Its Application to Housing Potential Estimation. ACM Conference on Information and Knowledge Management (CIKM), 975–978, 2007. [pdf]
Feiping Nie, Shiming Xiang, Yangqiu Song and Changshui Zhang. Optimal Dimensionality Discriminant Analysis and Its Application to Image Recognition. CVPR Workshop on Component Analysis Methods for Classification, Clustering, Modeling and Estimation Problems in Computer Vision, pp. 79, 2007. [pdf]
Shiming Xiang, Feiping Nie, Yangqiu Song, Changshui Zhang, and Chunxia Zhang. Embedding New Data Points for Manifold Learning via Coordinate Propagation. Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 332–343, 2007. (Best Paper Award–Honorable Mention) [pdf]
Yangqiu Song, Changshui Zhang and Shiming Xiang. Semi-Supervised Music Genre Classification. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. II 729–732, 2007.[pdf]
Feiping Nie, Shiming Xiang, Yangqiu Song, Changshui Zhang. Extracting the Optimal Dimensionality for Discriminant Analysis. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. II 617–620, 2007. [pdf]

2006

Yangqiu Song, Changshui Zhang, Jianguo Lee and Fei Wang. A Discriminative Method for Semi-Automated Tumorous Tissues Segmentation of MR Brain Images. CVPR Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA), 2006. [pdf]
Yangqiu Song, Changshui Zhang and Jianguo Lee, Graph Based Multi-Class Semi-Supervised Learning using Gaussian Process. Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition (SSPR) and Statistical Techniques in Pattern Recognition (SPR), pp. 450–458, 2006. [pdf]

2005

Yangqiu Song and Changshui Zhang. New Boosting Methods of Gaussian Processes for Regression. International Joint Conference on Neural Networks (IJCNN), pp. 1142-1147, 2005. [pdf]

Journals