Publication In Chronological Order  By Categories Natural language processing and language modeling Jiongxiao Wang, Jiazhao Li, Yiquan Li, Xiangyu Qi, Junjie Hu, Yixuan Li, Patrick McDaniel, Muhao Chen, Bo Li, Chaowei Xiao. Mitigating Fine-tuning Jailbreak Attack with Backdoor Enhanced Alignment. NeurIPS, 2024. [pdf] Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen. mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP, 2024. [pdf] Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen. Red Teaming Language Models for Processing Contradictory Dialogues. EMNLP, 2024. [pdf] Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng. Are Large Language Models Capable of Generating Human-Level Narratives? EMNLP, 2024. [pdf] Qin Liu, Fei Wang, Nan Xu, Tianyi Lorena Yan, Tao Meng, Muhao Chen. Monotonic Paraphrasing Improves Generalization of Language Model Prompting. EMNLP - Findings, 2024. [pdf] Terry Tong, Qin Liu, Jiashu Xu, Muhao Chen. Securing Multi-turn Conversational Language Models from Distributed Backdoor Attacks. EMNLP - Findings, 2024. [pdf] Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao. AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting. ECCV. 2024. [pdf] Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao. On the Exploitability of Reinforcement Learning with Human Feedback for Large Language Models. ACL, 2024. [pdf] Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen. Contrastive Instruction Tuning. ACL - Findings, 2024. [pdf] Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin. X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. ACL - Findings, 2024. [pdf] Muhao Chen, Chaowei Xiao, Huan Sun, Lei Li, Leon Derczynski, Anima Anandkumar. Combating Security and Privacy Issues in the Era of Large Language Models. Tutorial at NAACL, 2024. Wenpeng Yin, Muhao Chen, Rui Zhang, Ben Zhou, Fei Wang, Dan Roth. Enhancing LLM Capabilities Beyond Scaling Up. Tutorial at EMNLP, 2024. Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon. UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. International Conference on Learning Representations (ICLR), 2024. [pdf][Project Page] Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao. AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. International Conference on Learning Representations (ICLR), 2024. [pdf] Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen. From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. [pdf] Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen. Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen. Instructional Fingerprinting of Large Language Models. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. [pdf] Tianyang Liu, Fei Wang, Muhao Chen. Rethinking Tabular Data Understanding with Large Language Models. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. [pdf] Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen. Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. [pdf] Victoria Graf, Qin Liu, Muhao Chen. Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Lingbo Mo, Boshi Wang, Muhao Chen, Huan Sun. How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024. Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen. Planning and Editing What You Retrieve for Enhanced Tool Learning. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - Findings, 2024. Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen. Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - Findings, 2024. [pdf] Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen. Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. In the 21st Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - Findings, 2024. [pdf] Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen. On-the-fly Denoising for Data Augmentation in Natural Language Understanding. In the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL) - Findings, 2024. Qin Liu, Wenjie Mo, Terry Tong, Jiashu Xu, Fei Wang, Chaowei Xiao, Muhao Chen. Mitigating Backdoor Threats to Large Language Models: Advancement and Challenges. Allerton Conference, 2024. James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu. Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth. Are All Steps Equally Important? Benchmarking Essentiality Detection of Events. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen. GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi. Primacy Effect of ChatGPT. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023. Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen. A Causal View of Entity Bias in (Large) Language Models. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2023. Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen. Context-faithful Prompting for Large Language Models. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2023. Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen. Dense Retrieval as Indirect Supervision for Large-space Decision Making. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2023. Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi. Affective and Dynamic Beam Search for Story Generation. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2023. Shikhar Singh, Ehsan Qasemi, Muhao Chen. VIPHY: Probing “Visible” Physical Commonsense Knowledge. In the 38th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2023. Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen. How Fragile is Relation Extraction under Entity Replacements? In Proceedings of the 27th SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2023. Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth. Indirectly Supervised Natural Language Processing. Tutorial at ACL, 2023. Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon. Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. In the 61st Conference of the Association for Computational Linguistics (ACL), 2023. [preprint] Jiashu Xu, Mingyu Derek Ma, Muhao Chen. Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? In the 61st Conference of the Association for Computational Linguistics (ACL), 2023. [preprint] Tanay Dixit, Fei Wang, Muhao Chen. Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality. In the 61st Conference of the Association for Computational Linguistics (ACL), 2023. [preprint] Shudi Hou, Yu Xia, Muhao Chen, Sujian Li. Contrastive Bootstrapping for Label Refinement. In the 61st Conference of the Association for Computational Linguistics (ACL), 2023. Fei Wang*, James Y. Huang*, Tianyi Yan, Wenxuan Zhou, Muhao Chen. Robust Natural Language Understanding with Residual Attention Debiasing. In the 61st Conference of the Association for Computational Linguistics (ACL) - Findings, 2023. [preprint] Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen. Multi-hop Evidence Retrieval for Cross-document Relation Extraction. In the 61st Conference of the Association for Computational Linguistics (ACL) - Findings, 2023. [preprint] Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun. Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. In the 61st Conference of the Association for Computational Linguistics (ACL) - Findings, 2023. [preprint] Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob Gardner, Dan Roth, Muhao Chen. Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. In the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen. Parameter-Efficient Tuning with Special Token Adaptation. In the 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023. Bonan Kou, Muhao Chen, Tianyi Zhang. Automated Summarization of Stack Overflow Posts. In the Proceedings of the 45th IEEE/ACM International Conference on Software Engineering (ICSE), 2023. Zhongkai Zhao, Bonan Kou, Mohamed Yilmaz Ibrahim, Muhao Chen, Tianyi Zhang. Knowledge-based Version Incompatibility Detection for Deep Learning. In the Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2023. Tai Nguyen, Yifeng Di, Joohan Lee, Muhao Chen, Tianyi Zhang. Software Entity Recognition with Noise-Robust Learning. In the Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023. Muhao Chen, Lifu Huang, Manling Li, Ben Zhou, Heng Ji, Dan Roth. New Frontiers of Information Extraction. Tutorial at NAACL, 2022. Bangzheng Li, Wenpeng Yin, Muhao Chen. Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference. Transactions of the Association for Computational Linguistics (TACL), 2022. Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen. Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. In the 37th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.[pdf] Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu. Salience Allocation as Guidance for Abstractive Summarization. In the 37th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.[pdf] Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen. Summarization as Indirect Supervision for Relation Extraction. In the 37th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2022.[pdf] Zekun Li, Jina Kim, Yao-Yi Chiang, Muhao Chen. SpaBERT: Pretrained Language Models on Geographic Data for Geo-Entity Representation. In the 37th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2022.[pdf] Ehsan Qasemi, Filip Iievski, Muhao Chen, Pedro Szekely. PaCo: Preconditions Attributed to Commonsense Knowledge. In the 37th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2022.[pdf] Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi. Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. In the 20th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen. Answer Consolidation. In the 20th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen. Unified Semantic Typing with Meaningful Label Inference. In the 20th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi. GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. In the 20th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - Findings, 2022. Wenxuan Zhou*, Fangyu Liu*, Ivan Vulić, Nigel Collier, Muhao Chen. Prix-LM: Pretraining for Multilingual Knowledge Base Construction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022. Ehsan Qasemi, Piyush Khanna, Qiang Ning, Muhao Chen. PInKS: Preconditioned Commonsense Inference with Minimal Supervision. In the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 2022. Wenxuan Zhou, Muhao Chen. An Improved Baseline for Sentence-level Relation Extraction. In the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL), 2022. Wenxuan Zhou, Fangyu Liu, Muhao Chen. Contrastive Out-of-Distribution Detection for Pretrained Transformers. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Wenxuan Zhou, Muhao Chen. Learning from Noisy Labels for Entity-Centric Information Extraction. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth. Learning Constraints and Descriptive Segmentation for Subevent Detection. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Xiyang Zhang, Muhao Chen, Jonathan May. Salience-Aware Event Chain Modeling for Narrative Understanding. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021. Fei Wang, Kexuan Sun, Jay Pujara, Pedro Szekely, Muhao Chen. Table-based Fact Verification With Salience-aware Learning. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2021. Mingyu Ma, Muhao Chen, Te-lin Wu, Nanyun Peng. HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning. In Proceedings of the 36th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2021. Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Dan Roth. Event-Centric Natural Language Understanding. Tutorial at AAAI, 2021. [pdf] Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, Dan Roth. Event-Centric Natural Language Processing. Tutorial at ACL, 2021. Peifeng Wang, Filip Iievski, Muhao Chen, Xiang Ren. Do Language Models Perform Generalizable Commonsense Inference? In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL) - Findings, 2021. Guangyu Zhou*, Muhao Chen*, Chelsea Ju*, Zheng Wang, Jyun-Yu Jiang, Wei Wang. Mutation effect estimation on protein-protein interactions using deep contextualized representation learning. NAR Genom. Bioinform. 2 (2), Oxford University Press, 2020. [pdf][git]. Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth. "What Are You Trying to Do?" Semantic Typing of Event Processes. In Proceedings of the 24th SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2020. [pdf][slides][demo][paper list](Best Paper Nomination) Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth. Joint Constrained Learning for Event-event Relation Extraction. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth. Analogous Process Structure Induction for Sub-event Sequence Prediction. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Muhao Chen*, Chelsea Ju*, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang. Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN. Bioinformatics, 35 (14), Oxford University Press, 2019. Proceedings of ISMB/ECCB, 2019 [pdf][git][data][video] Muhao Chen*, Weijia Shi*, Pei Zhou, Kai-Wei Chang. Retrofitting Contextualized Word Embeddings with Paraphrases. In Proceedings of the 24th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019[slides] Muhao Chen*, Yingtao Tian*, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo. Learning to Represent Bilingual Dictionaries. In the 23rd SIGNLL Conference on Computational Natural Language Learning (CoNLL), 2019 [pdf][git] Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo. Neural Article Pair Modeling for Wikipedia Sub-article Matching. In Proceedings of the 29th European Conference on Machine Learning (ECML), 2018. [pdf][git][slides] (Plenary Presentation, acceptance rate ~1.7%) Weijia Shi, Muhao Chen, Yingtao Tian, Kai-Wei Chang. Learning Bilingual Word Embeddings Using Lexical Definitions. In Proceedings of the 4th ACL Workshop on Representation Learning for NLP (RepL4NLP), 2019. Muhao Chen, Carlo Zaniolo. Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI Press 2017 (Poster) [pdf] Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos. Attention-based Natural Language Person Retrieval. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). IEEE 2017 [pdf] Representation learning for structured data Fei Wang, Zhewei Xu, Pedro Szekely, Muhao Chen. Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning. In the 20th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022. Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen. Dangling-Aware Entity Alignment with Mixed High-Order Proximities. In the 20th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) - Findings, 2022. Jihoon Sohn, Mingyu Derek Ma, Muhao Chen. Bending the Future: Autoregressive Modeling of Temporal Knowledge Graphs in Curvature-Variable Hyperbolic Spaces. In the 4th Conference on Automated Knowledge Base Construction (AKBC), 2022. Zequn Sun, Muhao Chen, Wei Hu. Knowing the No-match: Entity Alignment with Dangling Cases. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics (ACL), 2021. Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier. Visual Pivoting for (Unsupervised) Entity Alignment. In Proceedings of the 35th AAAI International Conference on Artificial Intellignence (AAAI), 2021. Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang. Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. In Proceedings of the 35th AAAI International Conference on Artificial Intellignence (AAAI), 2021. Muhao Chen*, Weijia Shi*, Ben Zhou, Dan Roth. Cross-lingual Entity Alignment with Incidental Supervision. In the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021. Xuelu Chen*, Michael Boratko*, Muhao Chen, Shib Sankar Dasgupta, Xiang Li, Andrew McCallum. Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. In the 19th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021. Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro Szekely. Retrieving Complex Tables with Multi-Granular Graph Representation Learning. In the 44th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021. Zequn Sun, Qingheng Zhan, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, Chengkai Li. A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs. Proceedings of the VLDB Endowment (PVLDB), vol. 13, ACM, 2020. Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang. Knowledge Association with Hyperbolic Representation Learning of Knowledge Graphs. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020. Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda‎, Yizhou Sun, Carlo Zaniolo. Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. In Proceedings of the 25th Conference on Empirical Methods in Natural Language Processing (EMNLP) - Findings, 2020. Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu. Knowledge Graph Alignment Network with Gated Multi-hop Neighborhood Aggregation. In Proceedings of the 34th AAAI International Conference on Artificial Intellignence (AAAI), 2020. [pdf] Muhao Chen, Kai-Wei Chang, Dan Roth. Recent Advances in Transferable Representation Learning. Tutorial at AAAI, 2020. [pdf][website] Junheng Hao, Chelsea Ju, Muhao Chen, Yizhou Sun, Carlo Zaniolo, Wei Wang. Bio-JOIE: Joint Representation Learning of Biological Knowledge Bases. In Proceedings of the 11st ACM Conference on Bioinform., Comput. Bio. and Biomed. (ACM BCB), 2020. [preprint](ACM SIGBio Best Student Paper Award) Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang. Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2019 [pdf][git][video](Oral Presentation) Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo. Embedding Uncertain Knowledge Graphs. In Proceedings of the 33rd AAAI International Conference on Artificial Intellignence (AAAI). 2019 [pdf][code] Qingheng Zhang*, Zequn Sun*, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu. Multi-view Knowledge Graph Embedding for Entity Alignment. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 [pdf] Zequn Sun, Jiacheng Huang, Wei Hu, Muhao Chen, Yuzhong Qu. TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs. In Proceedings of the 18th International Semantic Web Conference (ISWC), 2019 [pdf] Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu. Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.[pdf] Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena. Fast and Accurate Network Embeddings via Very Sparse Random Projection. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2019.[pdf] Muhao Chen, Chris Quirk. Embedding Edge-attributed Relational Hierarchies. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019 [pdf][git] Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena. Social Relation Inference via Label Propagation. In Proceedings of the 41st European Conference on Information Retrieval (ECIR), 2019. Changjun Fan, Yizhou Sun, Li Zeng, Yang-Yu Liu, Muhao Chen, Zhong Liu. Dismantle Large Networks through Deep Reinforcement Learning. In ICLR Workshops, 2019. Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo. Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), 2018. [pdf][slides][data] Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen and Steven Skiena. Enhanced Network Embeddings via Exploiting Edge Labels. In Proceedings of the 27th ACM Conference on Information and Knowledge Management (CIKM). ACM 2018. Muhao Chen, Yingtao Tian, Xuelu Chen, Carlo Zaniolo. On2Vec: Embedding-based Relation Prediction for Ontology Population. In Proceedings of the 17th SIAM International Conference on Data Mining (SDM), SIAM 2018. [pdf][code] Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo. Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI Press 2017. [pdf][code][data][slides] Muhao Chen, Tao Zhou, Pei Zhou, Carlo Zaniolo. Multi-graph Affinity Embeddings for Multilingual Knowledge Graphs. In Automated Knowledge Base Construction at NIPS (AKBC). 2017. (Contributed Talk) AI for the common good J1 Yao-Yi Chiang, Muhao Chen, Weiwei Duan, Jina Kim, Craig Knoblock, Stefan Leyk, Zekun Li, Yijun Lin, Min Namgung, Basel Shbita, Johannes H. Uhl. GeoAI for the Digitization of Historical Maps. Handbook of GeoAI. Taylor & Francis, 2023 (Book Chapter) Tianran Zhang, Muhao Chen, Alex Bui. AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences. Journal of Biomedical Informatics (JBI). Elsevier, 2022 Bonan Kou, Yifeng Di, Muhao Chen, Tianyi Zhang. SOSum: A Dataset of Stack Overflow Post Summaries. In the 19th International Conference on Mining Software Repositories (MSR), 2022. (Data/Tool Showcase Track) Jyun-Yu Jiang, Chelsea J.-T. Ju, Junheng Hao, Muhao Chen, Wei Wang. Circular RNA Prediction based on Junction Encoders and Deep Interaction among Splice Sites. To appear in Bioinformatics, Oxford University Press, 2021. Proceedings of ISMB/ECCB, 2021. Guangyu Zhou*, Muhao Chen*, Chelsea Ju*, Zheng Wang, Jyun-Yu Jiang, Wei Wang. Mutation effect estimation on protein-protein interactions using deep contextualized representation learning. NAR Genom. Bioinform. 2 (2), Oxford University Press, 2020. [pdf][git]. Tianran Zhang, Muhao Chen, Alex Bui. Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. In Proceedings of the 18th International Conference on Artificial Intelligence in Medicine (AIME), 2020.[preprint][pdf] Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville. ReadNet: A Hierarchical Transformer Framework for Readability Analysis. In Proceedings of the 42nd European Conference on Information Retrieval (ECIR), 2020. [pdf] Muhao Chen*, Chelsea Ju*, Guangyu Zhou, Xuelu Chen, Tianran Zhang, Kai-Wei Chang, Carlo Zaniolo, Wei Wang. Multifaceted Protein-Protein Interaction Prediction Based on Siamese Residual RCNN. Bioinformatics, 35 (14), Oxford University Press, 2019. Proceedings of ISMB/ECCB, 2019 [pdf][git][data][video] Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang. Examining Gender Bias in Languages with Grammatical Gender. In Proceedings of the 24th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019 [pdf] General AI topics Peifeng Wang, Aaron Chan, Filip Iievski, Muhao Chen, Xiang Ren. PINTO: Faithful Language Reasoning Using Prompted-Generated Rationales. In the 11th International Conference on Learning Representations (ICLR), 2023. Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen. Sharpness-Aware Minimization with Dynamic Reweighting. In the 37th Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022.[pdf] Peifeng Wang, Jonathan Zamora, Junfeng Liu, Fangyu Liu, Muhao Chen, Xiang Ren. Contextualized Scene Imagination for Generative Commonsense Reasoning. In the 10th International Conference on Learning Representations (ICLR), 2022. Mohammad Rostami, Hangfeng He, Muhao Chen, Dan Roth. Invariant Representation Learning for Transferring Knowledge. Federated and Transfer Learning. Springer, 2022 (Book Chapter) Jay Pujara, Pedro Szekely, Huan Sun, Muhao Chen. From Tables to Knowledge: Recent Advances in Table Understanding. Tutorial at KDD, 2021. Minh Pham, Craig Knoblock, Muhao Chen, Binh Vu, Jay Pujara. SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. In the 30th International Joint Conferences on Artificial Intelligence (IJCAI), 2021. Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara. Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. In the 30th ACM International Conference on Information and Knowledge Management (CIKM), 2021. Muhao Chen, Changping Meng, Gang Huang, Carlo Zaniolo. Learning to Differentiate Between Main-articles and Sub-articles in Wikipedia. In Proceedings of 2019 IEEE International Conference on Big Data (BigData), 2019.[pdf] Qi Zhao, Muhao Chen, Pengyuan Du, Tuan Le, Mario Gerla. Towards Efficient Cellular Traffic Offloading via Dynamic MPTCP Path Configuration with SDN. In IEEE International Conference on Computing, Networking and Communications (ICNC), 2019 Carlo Zaniolo, Shi Gao, Maurizio Atzori, Muhao Chen, Jiaqi Gu. User-Friendly Temporal Queries on Historical Knowledge Bases. In Information and Computation 259(3), Elsevier 2018 [pdf] Pengyuan Du, Seunghyun Yoo, Qi Zhao, Muhao Chen, Mario Gerla. Towards Opportunistic Resource Sharing in Mobile Social Networks - an Evolutionary Game Theoretic Approach. In Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), ACM 2018. [pdf] Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo. Quantification and Analysis of Scientific Language Variation Across Research Fields. In Proceedings of the 2018 IEEE International Conference on Data Mining Workshops (ICDMW), IEEE 2018. (Congratulations to my undergraduate collaborator Pei)[pdf] Muhao Chen, Shi Gao, X. Sean Wang. Converting Spatiotemporal Data Among Heterogeneous Granularity Systems. In Proceedings of the 25th IEEE International Conference on Fuzzy System (FUZZ-IEEE), IEEE 2016 (Oral) [pdf][slides] Shi Gao, Muhao Chen, Maurizio Atzori, Jiaqi Gu, Carlo Zaniolo. SPARQLT and its User-Friendly Interface for Managing and Querying the History of Knowledge Bases. In the 14th International Semantic Web Conference (ISWC), 2015 (system demonstration) [pdf][project]