Yu Su (苏煜)

     Refereed Publications

• HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models
  Bernal Jiménez Gutiérrez, Yiheng Shu, Yu Gu, Michihiro Yasunaga, Yu Su. In the Conference on Neural Information Processing Systems, 2024 (NeurIPS'24) [paper] [code]
• Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization
  Boshi Wang, Xiang Yue, Yu Su, Huan Sun. In the Conference on Neural Information Processing Systems, 2024 (NeurIPS'24) [paper] [code]
• Fine-Tuning is Fine, if Calibrated
  Zheda Mai, Arpita Chowdhury, Ping Zhang, Cheng-Hao Tu, Hong-You Chen, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao. In the Conference on Neural Information Processing Systems, 2024 (NeurIPS'24) [paper]
• VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
  M Maruf, Arka Daw, Kazi Sajeed Mehrab, Harish Babu Manogaran, Abhilash Neog, Medha Sawhney, Mridul Khurana, James P Balhoff, Yasin Bakis, Bahadir Altintas, Matthew J Thompson, Elizabeth G Campolongo, Josef C Uyeda, Hilmar Lapp, Henry L Bart, Paula M Mabee, Yu Su, Wei-Lun Chao, Charles Stewart, Tanya Berger-Wolf, Wasila Dahdul, Anuj Karpatne. In the Conference on Neural Information Processing Systems, 2024 (NeurIPS'24 D&B) [paper]
• Middleware for LLMs: Tools are Instrumental for Language Agents in Complex Environments
  Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su. In the Conference on Empirical Methods in Natural Language Processing, 2024 (EMNLP'24) [paper]
• Deductive Beam Search: Decoding Deducible Rationale for Chain-of-Thought Reasoning
  Tinghui Zhu*, Kai Zhang*, Jian Xie, Yu Su. In the Conference on Language Modeling, 2024 (COLM'24) [paper] [code] (*: Equal Contribution)
• Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs
  Vardaan Pahuja, Weidi Luo, Yu Gu, Cheng-Hao Tu, Hong-You Chen, Tanya Berger-Wolf, Charles Stewart, Song Gao, Wei-Lun Chao, Yu Su. In the ACM International Conference on Information and Knowledge Management (CIKM'24) [paper]
• LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error
  Boshi Wang, Hao Fang, Jason Eisner, Benjamin Van Durme, Yu Su. In the Annual Conference of the Association for Computational Linguistics, 2024 (ACL'24) [paper][code]
• When is Tree Search Useful for LLM Planning? It Depends on the Discriminator
  Ziru Chen, Michael White, Raymond Mooney, Ali Payani, Yu Su, Huan Sun. In the Annual Conference of the Association for Computational Linguistics, 2024 (ACL'24) [paper]
• MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions
  Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang. In the International Conference on Machine Learning, 2024 (ICML'24) [project][paper]
  Oral (1.5%)
• GPT-4V(ision) is a Generalist Web Agent, if Grounded
  Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, Yu Su. In the International Conference on Machine Learning, 2024 (ICML'24) [project website] [paper] [code]
• TravelPlanner: A Benchmark for Real-World Planning with Language Agents
  Jian Xie*, Kai Zhang*, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su. In the International Conference on Machine Learning, 2024 (ICML'24) [project website] [paper] [code] (*: Equal Contribution)
  Spotlight (3.5%)
• BioCLIP: A Vision Foundation Model for the Tree of Life
  Samuel Stevens*, Jiaman Wu*, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, Yu Su. In the Conference on Computer Vision and Pattern Recognition, 2024 (CVPR'24) [project website] [paper] [code] (*: Equal Contribution)
  Best Student Paper
• MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI
  Xiang Yue*, Yuansheng Ni, Kai Zhang, Tianyu Zheng, Ruoqi Liu, Ge Zhang, Samuel Stevens, Dongfu Jiang, Weiming Ren, Yuxuan Sun, Cong Wei, Botao Yu, Ruibin Yuan, Renliang Sun, Ming Yin, Boyuan Zheng, Zhenzhu Yang, Yibo Liu, Wenhao Huang, Huan Sun, Yu Su*, Wenhu Chen*. In the Conference on Computer Vision and Pattern Recognition, 2024 (CVPR'24) [project website] [paper] [code] [data] (*: corresponding authors)
  Best Paper Finalist (0.2%); Oral (0.8%)
• Dual-View Visual Contextualization for Web Navigation
  Jihyung Kil, Chan Hee Song, Boyuan Zheng, Xiang Deng, Yu Su, Wei-Lun Chao. In the Conference on Computer Vision and Pattern Recognition, 2024 (CVPR'24) [paper]
• Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
  Jian Xie*, Kai Zhang*, Jiangjie Chen, Renze Lou, Yu Su. In the International Conference on Learning Representations, 2024 (ICLR'24) [paper] [code] (*: Equal Contribution)
  Spotlight (5%)
• MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
  Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen. In the International Conference on Learning Representations, 2024 (ICLR'24) [paper] [project] [code] [data]
  Spotlight (5%)
• AgentBench: Evaluating LLMs as Agents
  Xiao Liu*, Hao Yu*, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang. In the International Conference on Learning Representations, 2024 (ICLR'24) [paper] [code] (*: Equal Contribution)
• MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction-Following
  Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Janice Ahn, Hanzi Xu, Yu Su, Wenpeng Yin. In the International Conference on Learning Representations, 2024 (ICLR'24) [project website] [paper] [code]
• A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
  Dipanjyoti Paul, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel Rubenstein, Charles Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao. In the International Conference on Learning Representations, 2024 (ICLR'24) [paper] [code]
• Automatic Evaluation of Attribution by Large Language Models
  Xiang Yue, Boshi Wang, Kai Zhang, Ziru Chen, Yu Su, Huan Sun. In the Findings of the Conference on Empirical Methods in Natural Language Processing, 2023 (EMNLP'23: Findings) [paper] [code] [data]
• Error Detection for Text-to-SQL Semantic Parsing
  Shijie Chen, Ziru Chen, Huan Sun, Yu Su. In the Findings of the Conference on Empirical Methods in Natural Language Processing, 2023 (EMNLP'23: Findings) [paper] [InterNLP workshop at NeurIPS'22]
• Solving the Right Problem is Key for Translational NLP: A Case Study in UMLS Vocabulary Insertion
  Bernal Jimenez Gutierrez, Yuqing Mao, Vinh Nguyen, Kin Wah Fung, Yu Su, Olivier Bodenreider. In the Findings of the Conference on Empirical Methods in Natural Language Processing, 2023 (EMNLP'23: Findings) [paper]
• Mind2Web: Towards a Generalist Agent for the Web
  Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, Yu Su. In the Conference on Neural Information Processing Systems, 2023 (NeurIPS'23) [paper] [project website] [code]
  Spotlight (5%)
• MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing
  Kai Zhang*, Lingbo Mo*, Wenhu Chen, Huan Sun, Yu Su. In the Conference on Neural Information Processing Systems, 2023 (NeurIPS'23) [paper] [project website] [code] (*: Equal Contribution)
• Holistic Transfer: Towards Non-Disruptive Fine-Tuning with Partial Target Data
  Cheng-Hao Tu, Hong-You Chen, Jike Zhong, Zheda Mai, Vardaan Pahuja, Tanya Berger-Wolf, Song Gao, Charles Stewart, Yu Su, Wei-Lun Chao. In the Conference on Neural Information Processing Systems, 2023 (NeurIPS'23) [paper]
• LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
  Chan Hee Song, Jiaman Wu, Clayton Washington, Brian M. Sadler, Wei-Lun Chao, Yu Su. In the International Conference on Computer Vision, 2023 (ICCV'23) [paper] [project website] [code] [Embodied AI workshop at CVPR'23]
• A Retrieve-and-Read Framework for Knowledge Graph Link Prediction
  Vardaan Pahuja, Boshi Wang, Hugo Latapie, Jayanth Srinivasa, Yu Su. In the ACM International Conference on Information and Knowledge Management, 2023 (CIKM'23) [paper]
• Biomedical Language Models are Robust to Sub-optimal Tokenization
  Bernal Jimenez Gutierrez, Huan Sun, Yu Su. In the 22nd BioNLP Workshop at ACL, 2023 (BioNLP'23) [paper] [code]
• Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments
  Yu Gu, Xiang Deng, Yu Su. In the Annual Conference of the Association for Computational Linguistics, 2023 (ACL'23) [paper] [code] Outstanding Paper Award
• Few-shot In-context Learning on Knowledge Base Question Answering
  Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen. In the Annual Conference of the Association for Computational Linguistics, 2023 (ACL'23) [paper] [code]
• Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms
  Tianshu Zhang, Changchang Liu, Wei-Han Lee, Yu Su, Huan Sun. In the Annual Conference of the Association for Computational Linguistics, 2023 (ACL'23) [paper] [code]
• Privacy-Preserving Domain Adaptation of Semantic Parsers
  Fatemehsadat Mireshghallah, Yu Su, Tatsunori Hashimoto, Jason Eisner, Richard Shin. In the Annual Conference of the Association for Computational Linguistics, 2023 (ACL'23) [paper]
• Text-to-SQL Error Correction with Language Models of Code
  Ziru Chen, Shijie Chen, Michael White, Raymond Mooney, Ali Payani, Jayanth Srinivasa, Yu Su, Huan Sun. In the Annual Conference of the Association for Computational Linguistics, 2023, short paper (ACL'23) [paper] [code]
• Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors
  Kai Zhang, Bernal Jimenez Gutierrez, Yu Su. Findings of the Annual Conference of the Association for Computational Linguistics, 2023 (Findings of ACL'23) [paper] [code]
• When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
  Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su. In the Proc. of the Conference on Empirical Methods in Natural Language Processing, 2022 (EMNLP'22) [paper] [code]
• Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again
  Bernal Jiménez Gutiérrez, Nikolas McNeal, Clay Washington, You Chen, Lang Li, Huan Sun, Yu Su. Findings of the Conference on Empirical Methods in Natural Language Processing, 2022 (EMNLP'22: Findings) [paper] [code]
• Knowledge Base Question Answering: A Semantic Parsing Perspective
  Yu Gu, Vardaan Pahuja, Gong Cheng, Yu Su. In the Conference on Automated Knowledge Base Construction, 2022 (AKBC'22) [paper]
• ArcaneQA: Dynamic Program Induction and Contextualized Encoding for Knowledge Base Question Answering
  Yu Gu and Yu Su. In the International Conference on Computational Linguistics, 2022 (COLING'22) [paper] [code]
  Outstanding Paper Award
• Bootstrapping a User-Centered Task-Oriented Dialogue System
  Shijie Chen, Ziru Chen, Xiang Deng, Ashley Lewis, Lingbo Mo, Samuel Stevens, Zhen Wang, Xiang Yue, Tianshu Zhang, Yu Su, Huan Sun. Alexa Prize TaskBot Challenge Proceedings, 2022 [paper]
• Detecting Drug-Drug Interactions Between COVID-19 Therapies and Concomitant Medications Using the FDA Adverse Event Reporting System
  Eugene Jeong, Scott D Nelson, Yu Su, Bradley Malin, Lang Li, You Chen. Frontiers in Pharmacology, 2022 [paper]
• Bridging the Generalization Gap in Text-to-SQL Parsing with Schema Expansion
  Chen Zhao, Yu Su, Adam Pauls, Emmanouil Antonios Platanios. In the Annual Conference of the Association for Computational Linguistics, 2022 (ACL'22) [paper] [code]
• One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones
  Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su. In the Conference on Computer Vision and Pattern Recognition, 2022 (CVPR'22) [paper] [code]
• Random Control Selection for Conducting High-throughput Adverse Drug Events Screening Using Large-scale Longitudinal Health Data
  Chien-Wei Chiang, Pengyue Zhang, Macarius Donneyong, You Chen, Yu Su, Lang Li. CPT: Pharmacometrics & Systems Pharmacology, 2021 (PSP'21) [paper]
• An Investigation of Language Model Interpretability via Sentence Editing
  Samuel Stevens and Yu Su. In the Proc. of the BlackboxNLP Workshop at EMNLP, 2021 (BlackboxNLP'21) [paper] [code and data]
• ReasonBERT: Pre-trained to Reason with Distant Supervision
  Xiang Deng, Yu Su, Alyssa Lees, You Wu, Cong Yu and Huan Sun. In the Proc. of the Conference on Empirical Methods in Natural Language Processing, 2021 (EMNLP'21) [paper] [code and pre-trained models]
• A Systematic Investigation of KB-Text Embedding Alignment at Scale
  Vardaan Pahuja, Yu Gu, Wenhu Chen, Mehdi Bahrami, Lei Liu, Wei-Peng Chen, and Yu Su. In the Proc. of the Annual Conference of the Association for Computational Linguistics, 2021 (ACL'21) [paper] [code]
• Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention
  Pengcheng Yin, Hao Fang, Graham Neubig, Adam Pauls, Emmanouil Antonios Platanios, Yu Su, Sam Thomson, and Jacob Andreas. In the Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies, 2021, short paper (NAACL-HLT'21) [paper]
• Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases
  Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, and Yu Su. In the Proc. of the Web Conference (previously WWW), 2021 (TheWebConf'21) [paper] [data and leaderboard] [code]
• Task-Oriented Dialogue as Dataflow Synthesis
  Semantic Machines, Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H. Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang and Alexander Zotov. Transactions of the Association for Computational Linguistics, 2020 (TACL’20) [blog][paper] [code] [data and leaderboard] [Satya Nadella's Presentation at Microsoft Build 2019] [talk at EMNLP'20]
  Deployed as Conversational Interface of Microsoft Outlook
• An Imitation Game for Learning Semantic Parsers from User Interaction
  Ziyu Yao, Yiqi Tang, Wen-tau Yih, Huan Sun, Yu Su. In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2020 (EMNLP’20) [paper] [code]
• KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation
  Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang. In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2020 (EMNLP’20) [paper] [code]
• Document Classification for COVID-19 Literature
  Bernal Jiménez Gutiérrez, Juncheng Zeng, Dongdong Zhang, Ping Zhang, Yu Su. Findings of EMNLP'20, short paper. Presented at NLP-COVID workshop at ACL'20 [paper]
• Logical Natural Language Generation from Open-Domain Tables
  Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang. In Proc. of the Annual Conference of the Association for Computational Linguistics, 2020 (ACL’20) [paper][code and data]
• Model-based Interactive Semantic Parsing: A Unified Formulation and A Text-to-SQL Case Study
  Ziyu Yao, Yu Su, Huan Sun, Scott Wen-tau Yih. In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2019 (EMNLP’19) [paper][code]
• HierCon: Hierarchical Organization of Technical Documents based on Concepts
  Keqian Li, Shiyang Li, Semih Yavuz, Hanwen Zha, Yu Su, and Xifeng Yan. In Proc. of the IEEE International Conference on Data Mining, 2019 (ICDM’19) [paper]
  Best of ICDM 2019 Selection
• Global Textual Relation Embedding for Relational Understanding
  Zhiyu Chen, Hanwen Zha, Honglei Liu, Wenhu Chen, Xifeng Yan and Yu Su. In Proc. of the Annual Conference of the Association for Computational Linguistics, 2019, short paper (ACL’19) [paper] [code and data]
• How Large A Vocabulary Does Text Classification Need? A Variational Approach on Vocabulary Selection
  Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan and William Yang Wang. In Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics, 2019 (NAACL-HLT’19) [paper]
• Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning
  Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang. In Proc. of the AAAI Conference on Artificial Intelligence, 2019 (AAAI’19) [paper]
• Concept Mining via Embedding
  Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan. In Proc. of the IEEE International Conference on Data Mining, 2018 (ICDM’18) [paper]
• XL-NBT: A Cross-lingual Neural Belief Tracking Framework
  Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan and William Yang Wang. In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2018 (EMNLP’18) [paper]
• What It Takes to Achieve 100% Condition Accuracy on WikiSQL
  Semih Yavuz, Izzeddin Gur, Yu Su and Xifeng Yan. In Proc. of the Conference on Empirical Methods in Natural Language Processing, 2018 (EMNLP’18) [paper]
• DialSQL: Dialogue Based Structured Query Generation
  Izzeddin Gur, Semih Yavuz, Yu Su, Xifeng Yan. In Proc. of the Annual Meeting of the Association for Computational Linguistics, 2018, oral (ACL’18) [paper]
• Natural Language Interfaces with Fine-Grained User Interaction: A Case Study on Web APIs
  Yu Su, Ahmed Hassan Awadallah, Miaosen Wang, Ryen White. In Proc. of the International ACM SIGIR Conference on Research and Development in Information Retrieval, 2018, oral (SIGIR’18) [paper] [Microsoft Research Blog]
• Global Relation Embedding for Relation Extraction
  Yu Su*, Honglei Liu*, Semih Yavuz, Izzeddin Gur, Huan Sun, Xifeng Yan. In Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018 (NAACL-HLT’18) [paper] [code] (*: Equal Contribution)
• Unsupervised Neural Categorization for Scientific Publications
  Keqian Li, Hanwen Zha, Yu Su, Xifeng Yan. In Proc. of the SIAM International Conference on Data Mining, 2018, oral (SDM’18) [paper]
• Building Natural Language Interfaces to Web APIs
  Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, Mark Encarnacion. In Proc. of the ACM International Conference on Information and Knowledge Management, 2017, oral (CIKM’17) [paper] [data]
• Cross-domain Semantic Parsing via Paraphrasing
  Yu Su, Xifeng Yan. In Proc. of the 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP’17) [paper] [code]
• An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective
  Jie Zhao, Yu Su, Ziyu Guan, Huan Sun. In Proc. of the 2017 Conference on Empirical Methods in Natural Language Processing, short paper (EMNLP’17) [paper]
• Recovering Question Answering Errors via Query Revision
  Semih Yavuz, Izzeddin Gur, Yu Su, Xifeng Yan. In Proc. of the 2017 Conference on Empirical Methods in Natural Language Processing, short paper (EMNLP’17) [paper]
• On Generating Characteristic-rich Question Sets for QA Evaluation
  Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gur, Zenghui Yan, Xifeng Yan. In Proc. of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP’16) [paper] [appendix] [data]
• Improving Semantic Parsing via Answer Type Inference
  Semih Yavuz, Izzeddin Gur, Yu Su, Mudhakar Srivatsa, Xifeng Yan. In Proc. of the 2016 Conference on Empirical Methods in Natural Language Processing, oral (EMNLP’16) [paper]
• A Fast Kernel for Attributed Graphs
  Yu Su, Fangqiu Han, Richard E. Harang, Xifeng Yan. In Proc. of the SIAM International Conference on Data Mining, 2016, oral (SDM’16) [paper] [appendix] [slides] [poster]
• Table Cell Search for Question Answering
  Huan Sun, Hao Ma, Xiaodong He, Wen-Tau Yih, Yu Su, Xifeng Yan. In Proc. of the International World Wide Web Conference, 2016, oral (WWW’16) [paper]
• Visual Graph Query Formulation and Exploration: A New Perspective on Information Retrieval at the Edge
  Sue Kase, Michelle Vanni, Joanne Knight, Yu Su, Xifeng Yan. In Proc. of SPIE 9851, Next-Generation Analyst IV, 2016 (SPIE Defense+Security’16)
• Exploiting Relevance Feedback in Knowledge Graph Search
  Yu Su, Shengqi Yang, Huan Sun, Mudhakar Srivatsa, Sue Kase, Michelle Vanni, Xifeng Yan. In Proc. of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015, oral (KDD’15) [paper] [slides] [poster] [data]
• On the Validity of Geosocial Mobility Traces
  Zengbin Zhang, Lin Zhou, Xiaohan Zhao, Gang Wang, Yu Su, Miriam Metzger, Haitao Zheng, and Ben Y. Zhao. In Proc. of the ACM Workshop on Hot Topics in Networks, 2013 (HotNets’13) [paper]