| 2026 | ACL | GTA: Generating Long-horizon Tasks for Web Agents at Scale. | Tenghao Huang, Kung-Hsiang Huang, Prafulla Kumar Choubey, Yilun Zhou, Muhao Chen, Jonathan May, Chien-Sheng Wu |
| 2026 | ACL | MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. | Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2026 | ACL | RedCoder: Automated Multi-Turn Red Teaming for Code LLMs. | Wenjie Jacky Mo, Qin Liu, Xiaofei Wen, Dongwon Jung, Hadi Askari, Wenxuan Zhou, Zhe Zhao, Muhao Chen |
| 2026 | ACL | Taming Extreme Tokens: Covariance-Aware GRPO with Gaussian-Kernel Advantage Reweighting. | Cheng Wang, Qin Liu, Wenxuan Zhou, Muhao Chen |
| 2026 | ACL | False Sense of Security: Why Probing-based Malicious Input Detection Fails to Generalize. | Cheng Wang, Zeming Wei, Qin Liu, Wenxuan Zhou, Muhao Chen |
| 2025 | ACL | SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment. | Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2025 | ACL | R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. | Tenghao Huang, Kinjal Basu, Ibrahim Abdelaziz, Pavan Kapanipathi, Jonathan May, Muhao Chen |
| 2025 | ACL | AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection. | Weidi Luo, Shenghong Dai, Xiaogeng Liu, Suman Banerjee, Huan Sun, Muhao Chen, Chaowei Xiao |
| 2025 | ACL | ThinkGuard: Deliberative Slow Thinking Leads to Cautious Guardrails. | Xiaofei Wen, Wenxuan Zhou, Wenjie Jacky Mo, Muhao Chen |
| 2025 | CVPR | SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. | Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu |
| 2025 | EMNLP | QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA. | Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou |
| 2025 | EMNLP | Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization. | Shuyang Hao, Yiwei Wang, Bryan Hooi, Jun Liu, Muhao Chen, Zi Huang, Yujun Cai |
| 2025 | EMNLP | Teaching Language Models To Gather Information Proactively. | Tenghao Huang, Sihao Chen, Muhao Chen, Jonathan May, Longqi Yang, Mengting Wan, Pei Zhou |
| 2025 | EMNLP | Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation. | Dongwon Jung, Qin Liu, Tenghao Huang, Ben Zhou, Muhao Chen |
| 2025 | EMNLP | Code Execution as Grounded Supervision for LLM Reasoning. | Dongwon Jung, Wenxuan Zhou, Muhao Chen |
| 2025 | EMNLP | Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation. | Hongxiang Zhang, Hao Chen, Muhao Chen, Tianyi Zhang |
| 2025 | ICLR | Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset. | Yingzi Ma, Jiongxiao Wang, Fei Wang, Siyuan Ma, Jiazhao Li, Jinsheng Pan, Xiujun Li, Furong Huang, Lichao Sun, Bo Li, Yejin Choi, Muhao Chen, Chaowei Xiao |
| 2025 | ICLR | BadJudge: Backdoor Vulnerabilities of LLM-As-A-Judge. | Terry Tong, Fei Wang, Zhe Zhao, Muhao Chen |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2025 | IROS | Exploring Spontaneous Social Interaction Swarm Robotics Powered by Large Language Models. | Yitao Jiang, Luyang Zhao, Alberto Quattrini Li, Muhao Chen, Devin J. Balkcom |
| 2025 | IROS | Markov Parameters Generation for Data-based Modeling of Tensegrity Robots Considering Finite Word-Length Effects. | Linxuan Shi, Weizhi Cao, Muhao Chen, Yuling Shen |
| 2025 | KDD | MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery. | Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Zian Jia, Jingru Gan, Junkai Zhang, Jingyuan Qi, Tingwei Chen, Lifu Huang, Muhao Chen, Ling Li, Wei Wang, Dawei Zhou |
| 2025 | KDD | FoodPuzzle: Toward Developing Large Language Model Agents as Autonomous Flavor Scientists. | Tenghao Huang, Dong Hee Lee, John Sweeney, Jiatong Shi, Emily Steliotes, Matthew Lange, Jonathan May, Muhao Chen |
| 2025 | NAACL | Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing. | Hadi Askari, Anshuman Chhabra, Muhao Chen, Prasant Mohapatra |
| 2025 | NAACL | Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations. | Wenjie Jacky Mo, Jiashu Xu, Qin Liu, Jiongxiao Wang, Jun Yan, Hadi Askari, Chaowei Xiao, Muhao Chen |
| 2025 | NAACL | MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design. | Jingyuan Qi, Zian Jia, Minqian Liu, Wangzhi Zhan, Junkai Zhang, Xiaofei Wen, Jingru Gan, Jianpeng Chen, Qin Liu, Mingyu Derek Ma, Bangzheng Li, Haohui Wang, Adithya Kulkarni, Muhao Chen, Dawei Zhou, Ling Li, Wei Wang, Lifu Huang |
| 2025 | NAACL | Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety. | Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang |
| 2025 | NAACL | From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. | Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | ACL | RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models. | Jiongxiao Wang, Junlin Wu, Muhao Chen, Yevgeniy Vorobeychik, Chaowei Xiao |
| 2024 | ACL | X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification. | Hanzi Xu, Muhao Chen, Lifu Huang, Slobodan Vucetic, Wenpeng Yin |
| 2024 | ACL | Contrastive Instruction Tuning. | Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen |
| 2024 | ACSSC | Form-Finding and Physical Property Predictions of Tensegrity Structures Using Deep Neural Networks. | Muhao Chen, Jing Qin |
| 2024 | EACL | On-the-fly Denoising for Data Augmentation in Natural Language Understanding. | Tianqing Fang, Wenxuan Zhou, Fangyu Liu, Hongming Zhang, Yangqiu Song, Muhao Chen |
| 2024 | ECCV | AdaShield : Safeguarding Multimodal Large Language Models from Structure-Based Attack via Adaptive Shield Prompting. | Yu Wang, Xiaogeng Liu, Yu Li, Muhao Chen, Chaowei Xiao |
| 2024 | EMNLP | Enhancing LLM Capabilities Beyond Scaling Up. | Wenpeng Yin, Muhao Chen, Rui Zhang, Ben Zhou, Fei Wang, Dan Roth |
| 2024 | EMNLP | Monotonic Paraphrasing Improves Generalization of Language Model Prompting. | Qin Liu, Fei Wang, Nan Xu, Tianyi Yan, Tao Meng, Muhao Chen |
| 2024 | EMNLP | Are Large Language Models Capable of Generating Human-Level Narratives? | Yufei Tian, Tenghao Huang, Miri Liu, Derek Jiang, Alexander Spangher, Muhao Chen, Jonathan May, Nanyun Peng |
| 2024 | EMNLP | Securing Multi-turn Conversational Language Models From Distributed Backdoor Attacks. | Terry Tong, Qin Liu, Jiashu Xu, Muhao Chen |
| 2024 | EMNLP | mDPO: Conditional Preference Optimization for Multimodal Large Language Models. | Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2024 | EMNLP | Red Teaming Language Models for Processing Contradictory Dialogues. | Xiaofei Wen, Bangzheng Li, Tenghao Huang, Muhao Chen |
| 2024 | ICLR | AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models. | Xiaogeng Liu, Nan Xu, Muhao Chen, Chaowei Xiao |
| 2024 | ICLR | UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. | Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon |
| 2024 | NAACL | Rethinking Tabular Data Understanding with Large Language Models. | Tianyang Liu, Fei Wang, Muhao Chen |
| 2024 | NAACL | Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning. | Tianqing Fang, Zhaowei Wang, Wenxuan Zhou, Hongming Zhang, Yangqiu Song, Muhao Chen |
| 2024 | NAACL | Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors. | Victoria Graf, Qin Liu, Muhao Chen |
| 2024 | NAACL | Planning and Editing What You Retrieve for Enhanced Tool Learning. | Tenghao Huang, Dongwon Jung, Vaibhav Kumar, Mohammad Kachuee, Xiang Li, Puyang Xu, Muhao Chen |
| 2024 | NAACL | From Shortcuts to Triggers: Backdoor Defense with Denoised PoE. | Qin Liu, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2024 | NAACL | Deceptive Semantic Shortcuts on Reasoning Chains: How Far Can Models Go without Hallucination? | Bangzheng Li, Ben Zhou, Fei Wang, Xingyu Fu, Dan Roth, Muhao Chen |
| 2024 | NAACL | How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities. | Lingbo Mo, Boshi Wang, Muhao Chen, Huan Sun |
| 2024 | NAACL | Instructional Fingerprinting of Large Language Models. | Jiashu Xu, Fei Wang, Mingyu Derek Ma, Pang Wei Koh, Chaowei Xiao, Muhao Chen |
| 2024 | NAACL | Instructions as Backdoors: Backdoor Vulnerabilities of Instruction Tuning for Large Language Models. | Jiashu Xu, Mingyu Derek Ma, Fei Wang, Chaowei Xiao, Muhao Chen |
| 2024 | NAACL | Cognitive Overload: Jailbreaking Large Language Models with Overloaded Logical Thinking. | Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, Muhao Chen |
| 2023 | ACL | Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality. | Tanay Dixit, Fei Wang, Muhao Chen |
| 2023 | ACL | Contrastive Bootstrapping for Label Refinement. | Shudi Hou, Yu Xia, Muhao Chen, Sujian Li |
| 2023 | ACL | Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. | Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun |
| 2023 | ACL | Multi-hop Evidence Retrieval for Cross-document Relation Extraction. | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen |
| 2023 | ACL | Robust Natural Language Understanding with Residual Attention Debiasing. | Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen |
| 2023 | ACL | Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? | Jiashu Xu, Mingyu Derek Ma, Muhao Chen |
| 2023 | ACL | Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. | Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon |
| 2023 | CoNLL | How Fragile is Relation Extraction under Entity Replacements? | Yiwei Wang, Bryan Hooi, Fei Wang, Yujun Cai, Yuxuan Liang, Wenxuan Zhou, Jing Tang, Manjuan Duan, Muhao Chen |
| 2023 | EACL | Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction. | Haoyu Wang, Hongming Zhang, Yuqian Deng, Jacob R. Gardner, Dan Roth, Muhao Chen |
| 2023 | EACL | Parameter-Efficient Tuning with Special Token Adaptation. | Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen |
| 2023 | EMNLP | Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes. | Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth |
| 2023 | EMNLP | GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding. | Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen |
| 2023 | EMNLP | Affective and Dynamic Beam Search for Story Generation. | Tenghao Huang, Ehsan Qasemi, Bangzheng Li, He Wang, Faeze Brahman, Muhao Chen, Snigdha Chaturvedi |
| 2023 | EMNLP | Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. | James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu |
| 2023 | EMNLP | VIPHY: Probing "Visible" Physical Commonsense Knowledge. | Shikhar Singh, Ehsan Qasemi, Muhao Chen |
| 2023 | EMNLP | Primacy Effect of ChatGPT. | Yiwei Wang, Yujun Cai, Muhao Chen, Yuxuan Liang, Bryan Hooi |
| 2023 | EMNLP | A Causal View of Entity Bias in (Large) Language Models. | Fei Wang, Wenjie Mo, Yiwei Wang, Wenxuan Zhou, Muhao Chen |
| 2023 | EMNLP | Dense Retrieval as Indirect Supervision for Large-space Decision Making. | Nan Xu, Fei Wang, Mingtao Dong, Muhao Chen |
| 2023 | EMNLP | Context-faithful Prompting for Large Language Models. | Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen |
| 2023 | ICLR | PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales. | Peifeng Wang, Aaron Chan, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2023 | IJCNLP | Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. | Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen |
| 2023 | ICSE | Automated Summarization of Stack Overflow Posts. | Bonan Kou, Muhao Chen, Tianyi Zhang |
| 2022 | ACL | Prix-LM: Pretraining for Multilingual Knowledge Base Construction. | Wenxuan Zhou, Fangyu Liu, Ivan Vulic, Nigel Collier, Muhao Chen |
| 2022 | EMNLP | SpaBERT: A Pretrained Language Model from Geographic Data for Geo-Entity Representation. | Zekun Li, Jina Kim, Yao-Yi Chiang, Muhao Chen |
| 2022 | EMNLP | Summarization as Indirect Supervision for Relation Extraction. | Keming Lu, I-Hung Hsu, Wenxuan Zhou, Mingyu Derek Ma, Muhao Chen |
| 2022 | EMNLP | PaCo: Preconditions Attributed to Commonsense Knowledge. | Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely |
| 2022 | EMNLP | Salience Allocation as Guidance for Abstractive Summarization. | Fei Wang, Kaiqiang Song, Hongming Zhang, Lifeng Jin, Sangwoo Cho, Wenlin Yao, Xiaoyang Wang, Muhao Chen, Dong Yu |
| 2022 | EMNLP | Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing. | Nan Xu, Fei Wang, Bangzheng Li, Mingtao Dong, Muhao Chen |
| 2022 | EMNLP | Sharpness-Aware Minimization with Dynamic Reweighting. | Wenxuan Zhou, Fangyu Liu, Huan Zhang, Muhao Chen |
| 2022 | ICLR | Contextualized Scene Imagination for Generative Commonsense Reasoning. | Peifeng Wang, Jonathan Zamora, Junfeng Liu, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2022 | IJCNLP | PInKS: Preconditioned Commonsense Inference with Minimal Supervision. | Ehsan Qasemi, Piyush Khanna, Qiang Ning, Muhao Chen |
| 2022 | IJCNLP | An Improved Baseline for Sentence-level Relation Extraction. | Wenxuan Zhou, Muhao Chen |
| 2022 | MSR | SOSum: A Dataset of Stack Overflow Post Summaries. | Bonan Kou, Yifeng Di, Muhao Chen, Tianyi Zhang |
| 2022 | NAACL | Unified Semantic Typing with Meaningful Label Inference. | James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen |
| 2022 | NAACL | Dangling-Aware Entity Alignment with Mixed High-Order Proximities. | Juncheng Liu, Zequn Sun, Bryan Hooi, Yiwei Wang, Dayiheng Liu, Baosong Yang, Xiaokui Xiao, Muhao Chen |
| 2022 | NAACL | GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Bryan Hooi |
| 2022 | NAACL | Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis. | Yiwei Wang, Muhao Chen, Wenxuan Zhou, Yujun Cai, Yuxuan Liang, Dayiheng Liu, Baosong Yang, Juncheng Liu, Bryan Hooi |
| 2022 | NAACL | Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning. | Fei Wang, Zhewei Xu, Pedro A. Szekely, Muhao Chen |
| 2022 | NAACL | Answer Consolidation: Formulation and Benchmarking. | Wenxuan Zhou, Qiang Ning, Heba Elfardy, Kevin Small, Muhao Chen |
| 2021 | AAAI | Visual Pivoting for (Unsupervised) Entity Alignment. | Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier |
| 2021 | AAAI | Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks. | Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang |
| 2021 | ACL | Knowing the No-match: Entity Alignment with Dangling Cases. | Zequn Sun, Muhao Chen, Wei Hu |
| 2021 | ACL | Do Language Models Perform Generalizable Commonsense Inference? | Peifeng Wang, Filip Ilievski, Muhao Chen, Xiang Ren |
| 2021 | CIKM | Tabular Functional Block Detection with Embedding-based Agglomerative Cell Clustering. | Kexuan Sun, Fei Wang, Muhao Chen, Jay Pujara |
| 2021 | EACL | Cross-lingual Entity Alignment with Incidental Supervision. | Muhao Chen, Weijia Shi, Ben Zhou, Dan Roth |
| 2021 | EMNLP | Table-based Fact Verification With Salience-aware Learning. | Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen |
| 2021 | EMNLP | HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning. | Mingyu Derek Ma, Muhao Chen, Te-Lin Wu, Nanyun Peng |
| 2021 | EMNLP | Learning Constraints and Descriptive Segmentation for Subevent Detection. | Haoyu Wang, Hongming Zhang, Muhao Chen, Dan Roth |
| 2021 | EMNLP | Salience-Aware Event Chain Modeling for Narrative Understanding. | Xiyang Zhang, Muhao Chen, Jonathan May |
| 2021 | EMNLP | Contrastive Out-of-Distribution Detection for Pretrained Transformers. | Wenxuan Zhou, Fangyu Liu, Muhao Chen |
| 2021 | EMNLP | Learning from Noisy Labels for Entity-Centric Information Extraction. | Wenxuan Zhou, Muhao Chen |
| 2021 | IJCAI | SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables. | Minh Pham, Craig A. Knoblock, Muhao Chen, Binh Vu, Jay Pujara |
| 2021 | KDD | From Tables to Knowledge: Recent Advances in Table Understanding. | Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen |
| 2021 | NAACL | Probabilistic Box Embeddings for Uncertain Knowledge Graph Reasoning. | Xuelu Chen, Michael Boratko, Muhao Chen, Shib Sankar Dasgupta, Xiang Lorraine Li, Andrew McCallum |
| 2021 | SIGIR | Retrieving Complex Tables with Multi-Granular Graph Representation Learning. | Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely |
| 2020 | AAAI | Knowledge Graph Alignment Network with Gated Multi-Hop Neighborhood Aggregation. | Zequn Sun, Chengming Wang, Wei Hu, Muhao Chen, Jian Dai, Wei Zhang, Yuzhong Qu |
| 2020 | AIME | Diagnostic Prediction with Sequence-of-sets Representation Learning for Clinical Events. | Tianran Zhang, Muhao Chen, Alex A. T. Bui |
| 2020 | CoNLL | What Are You Trying to Do? Semantic Typing of Event Processes. | Muhao Chen, Hongming Zhang, Haoyu Wang, Dan Roth |
| 2020 | ECIR | ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis. | Changping Meng, Muhao Chen, Jie Mao, Jennifer Neville |
| 2020 | EMNLP | Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer. | Xuelu Chen, Muhao Chen, Changjun Fan, Ankith Uppunda, Yizhou Sun, Carlo Zaniolo |
| 2020 | EMNLP | Knowledge Association with Hyperbolic Knowledge Graph Embeddings. | Zequn Sun, Muhao Chen, Wei Hu, Chengming Wang, Jian Dai, Wei Zhang |
| 2020 | EMNLP | Joint Constrained Learning for Event-Event Relation Extraction. | Haoyu Wang, Muhao Chen, Hongming Zhang, Dan Roth |
| 2020 | EMNLP | Analogous Process Structure Induction for Sub-event Sequence Prediction. | Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, Dan Roth |
| 2019 | AAAI | Embedding Uncertain Knowledge Graphs. | Xuelu Chen, Muhao Chen, Weijia Shi, Yizhou Sun, Carlo Zaniolo |
| 2019 | CIKM | Fast and Accurate Network Embeddings via Very Sparse Random Projection. | Haochen Chen, Syed Fahad Sultan, Yingtao Tian, Muhao Chen, Steven Skiena |
| 2019 | CIKM | Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach. | Changjun Fan, Li Zeng, Yuhui Ding, Muhao Chen, Yizhou Sun, Zhong Liu |
| 2019 | CoNLL | Learning to Represent Bilingual Dictionaries. | Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo |
| 2019 | ECIR | Social Relation Inference via Label Propagation. | Yingtao Tian, Haochen Chen, Bryan Perozzi, Muhao Chen, Xiaofei Sun, Steven Skiena |
| 2019 | EMNLP | Retrofitting Contextualized Word Embeddings with Paraphrases. | Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang |
| 2019 | EMNLP | Examining Gender Bias in Languages with Grammatical Gender. | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang |
| 2019 | ICDM | Computational Analysis of French Reborrowing Process for English Loanwords. | Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang |
| 2019 | IJCAI | Multi-view Knowledge Graph Embedding for Entity Alignment. | Qingheng Zhang, Zequn Sun, Wei Hu, Muhao Chen, Lingbing Guo, Yuzhong Qu |
| 2019 | KDD | Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. | Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang |
| 2019 | SIGIR | Embedding Edge-attributed Relational Hierarchies. | Muhao Chen, Chris Quirk |
| 2018 | CIKM | Enhanced Network Embeddings via Exploiting Edge Labels. | Haochen Chen, Xiaofei Sun, Yingtao Tian, Bryan Perozzi, Muhao Chen, Steven Skiena |
| 2018 | ICDM | Quantification and Analysis of Scientific Language Variation Across Research Fields. | Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo |
| 2018 | IJCAI | Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. | Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo |
| 2018 | MOBIHOC | Demand-driven Cache Allocation Based on Context-aware Collaborative Filtering. | Muhao Chen, Qi Zhao, Pengyuan Du, Carlo Zaniolo, Mario Gerla |
| 2018 | MOBIHOC | Towards Opportunistic Resource Sharing in Mobile Social Networks: an Evolutionary Game Theoretic Approach. | Pengyuan Du, Seunghyun Yoo, Qi Zhao, Muhao Chen, Mario Gerla |
| 2018 | SDM | On2Vec: Embedding-based Relation Prediction for Ontology Population. | Muhao Chen, Yingtao Tian, Xuelu Chen, Zijun Xue, Carlo Zaniolo |
| 2017 | CVPR | Attention-Based Natural Language Person Retrieval. | Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos |
| 2017 | IJCAI | Multilingual Knowledge Graph Embeddings for Cross-lingual Knowledge Alignment. | Muhao Chen, Yingtao Tian, Mohan Yang, Carlo Zaniolo |
| 2017 | IJCAI | Learning Multi-faceted Knowledge Graph Embeddings for Natural Language Processing. | Muhao Chen, Carlo Zaniolo |
| 2016 | SAC | Converting spatiotemporal data among multiple granularity systems. | Muhao Chen, Shi Gao, Jingheng Zhou, X. Sean Wang |