Conference Papers

  1. Jaewoo Lee, Boyang Li, and Sung Ju Hwang. Concept-skill Transferability-based Data Selection for Large Vision-Language Models. The Conference on Empirical Methods in Natural Language Processing (EMNLP). 2024. [Code]
  2. Yidan Sun, Jianfei Yu, and Boyang Li. Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding. Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2024. [Code]
  3. Devaansh Gupta and Boyang Li. A Training Data Recipe to Accelerate A* Search with Large Language Models. Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2024.
  4. Miaoyu Li, Haoxin Li, Zilin Du, and Boyang Li. Diversify, Rationalize, and Combine: Ensembling Multiple QA Strategies for Zero-shot Knowledge-based VQA. Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2024.
  5. Xu Guo, Zilin Du, Boyang Li, and Chunyan Miao. Generating Synthetic Datasets for Few-shot Prompt Tuning. The First Conference on Language Modeling (COLM). 2024.
  6. Yidan Sun, Qin Chao, and Boyang Li. Event Causality Is Key to Computational Story Understanding. The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2024. [Code]
  7. Anthony Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven Hoi, and Caiming Xiong. What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL). 2024. [Dataset]
  8. Luo Jiayun, Siddhesh Khandelwal, Leonid Sigal, and Boyang Li. Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024. [Code] [Note: The paper has been updated to correct a bug in an earlier version.]
  9. Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, and You Zhou. Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. The AAAI Conference on Artificial Intelligence (AAAI). 2024.
  10. Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, and Steven Hoi. InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. Advances in Neural Information Processing Systems (NeurIPS). 2023.
  11. Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, and Boyang Li. Training Multimedia Event Extraction With Generated Images and Captions. The ACM International Conference on Multimedia (ACM MM). 2023. [Code]
  12. Haoxin Li, Yuan Liu, Hanwang Zhang, and Boyang Li. Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. International Conference on Computer Vision (ICCV) (Oral Presentation). 2023. [Supplemental] [Code]
  13. Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, and Lidong Bing. Is GPT-3 a Good Data Annotator? The Annual Conference of the Association for Computational Linguistics (ACL). 2023.
  14. Qin Chao, Eunsoo Kim, and Boyang Li. Movie Box Office Prediction With Self-Supervised and Visually Grounded Pretraining. IEEE International Conference on Multimedia and Expo (ICME). 2023.
  15. Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, and Steven CH Hoi. From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2023.
  16. Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, and Steven C.H. Hoi. Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP). 2022.
  17. Xu Guo, Boyang Li, and Han Yu. Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation. Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP). 2022.
  18. Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, and Lizhen Cui. History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. Findings of the Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP). 2022.
  19. Jun Chen, Han Guo, Kai Yi, Boyang Li, and Mohamed Elhoseiny. VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2022.
  20. Sherif Abdelkarim , Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, and Mohamed Elhoseiny. Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. International Conference on Computer Vision (ICCV). 2021.
  21. Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao. Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2021.
  22. Xu Guo, Boyang Li, Han Yu, and Chunyan Miao. Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT). 2021.
  23. Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, and Chunyan Miao. Noise-resistant Deep Metric Learning with Ranking-based Instance Selection. The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
  24. Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, and Chunyan Miao. Hydra: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. The AAAI Conference on Artificial Intelligence (AAAI). 2021. [Code]
  25. Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, and Yanwei Fu. Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions. The IEEE Winter Conference on Applications of Computer Vision (WACV). 2021. [Supplemental Material]
  26. Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, and Boyang Li. Understanding Actors and Evaluating Personae with Gaussian Embeddings. The 33rd AAAI Conference on Artificial Intelligence (AAAI). 2019. [Code & Data]
  27. Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko. Joint Event Detection and Description in Continuous Video Streams. The IEEE Winter Conference on Applications of Computer Vision (WACV). 2019.
  28. Pelin Dogan, Boyang Li, Leonid Sigal, Markus Gross. A Neural Multi-sequence Alignment TeCHnique (NeuMATCH). The Conference on Computer Vision and Pattern Recognition (CVPR). 2018. [Data]
  29. Boyang Li, Beth Cardier, Tong Wang and Florian Metze. Annotating High-Level Structures of Short Stories and Personal Anecdotes. The 11th Language Resources and Evaluation Conference (LREC). 2018. [Data] [Talk] [Annotation Guidelines]
  30. Sasha Azad, Jingyang Xu, Haining Yu and Boyang Li. Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming. The 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE). Snowbird, Utah. 2017.
  31. James Kennedy, Iolanda Leite, Andre Pereira, Ming Sun, Boyang Li, Rishub Jain, Ricson Cheng, Eli Pincus, Elizabeth Carter and Jill Fain Lehman. Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent. The 17th International Conference on Intelligent Virtual Agents (IVA). Stockholm, Sweden. 2017.
  32. Tong Wang, Ping Chen, and Boyang Li. Predicting the Quality of Short Narratives from Social Media. The 26th International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. 2017. [Code (reimplementation)] [Data]
  33. Matthew Guzdial, Boyang Li, and Mark O. Riedl. Game Engine Learning from Video. The 26th International Joint Conference on Artificial Intelligence (IJCAI). Melbourne, Australia. 2017.
  34. Ming Sun, Iolanda Leite, Jill Fain Lehman, and Boyang Li. Collaborative Storytelling between Robot and Child: A Feasibility Study. The 16th ACM SIGCHI Interaction Design and Children Conference. Stanford, CA. 2017.
  35. Iolanda Leite, André Pereira, Allison Funkhouser, Boyang Li, and Jill Fain Lehman. Semi-situated Learning of Verbal and Nonverbal Content for Repeated Human-Robot Interaction. The 18th ACM International Conference on Multimodal Interaction. Tokyo, Japan. 2016.
  36. Rogelio Cardona-Rivera and Boyang Li. PlotShot: Generating Discourse-constrained Stories around Photos. The 12th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment. Burlingame, CA. 2016.
  37. Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, and Boyang Li. Multiplicative Representations for Unsupervised Semantic Role Induction. The 54th Annual Meeting of the Association for Computational Linguistics. Berlin, Germany. 2016.
  38. Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li and Leonid Sigal. Video Emotion Recognition with Transferred Deep Feature Encodings. The 2016 ACM International Conference in Multimedia Retrieval. New York, NY. 2016.
  39. Boyang Li. A Dynamic and Dual-Process Theory of Humor. The 3rd Annual Conference on Advances in Cognitive Systems . Atlanta, GA. 2015.
  40. Matthew Guzdial, Brent Harrison, Boyang Li, and Mark O. Riedl. Crowdsourcing Open Interactive Narrative. The 10th International Conference on the Foundations of Digital Games. Pacific Grove, CA. 2015.
  41. Boyang Li, Mohini Thakkar, Yijie Wang and Mark O. Riedl. Storytelling with Adjustable Narrator Style and Sentiments. The 7th International Conference on Interactive Digital Storytelling. Singapore. 2014.
  42. Boyang Li, Mohini Thakkar, Yijie Wang, and Mark O. Riedl. From Data to Storytelling Agents. The 14th International Conference on Intelligent Virtual Agents (IVA 2014). Boston, MA. 2014.
  43. Boyang Li, Stephen Lee-Urban, and Mark O. Riedl. Crowdsourcing Interactive Fiction Games. The 8th International Conference on the Foundations of Digital Games. Chania, Crete, Greece. 2013.
  44. Boyang Li, Stephen Lee-Urban, George Johnston and Mark O. Riedl. Story Generation with Crowdsourced Plot Graphs. The 27th AAAI Conferece on Artificial Intelligence. Bellevue, Washington. 2013.
  45. Boyang Li, Alexander Zook, Nicholas Davis, and Mark O. Riedl. Goal-Driven Conceptual Blending: A Computational Approach for Creativity. The 3rd International Conference on Computational Creativity. Dublin, Ireland. 2012.
  46. Boyang Li and Mark O. Riedl. Creative Gadget Design in Fictions: Generating Novel Object Types in Analogical Spaces. The 8th ACM Conference on Creativity and Cognition. Atlanta, Georgia, 2011. pp. 41-50.
  47. Mark O. Riedl, Boyang Li, Hua Ai, and Ashwin Ram. Robust and Authorable Multiplayer Interactive Narrative Experiences. The 7th Annual Conference on Artificial Intelligence and Interactive Digital Entertainment. Palo Alto, California, 2011.
  48. Nicholas Davis, Boyang Li, Brian O'Neill, Mark Riedl, and Michael Nitsche. Distributed Creative Cognition In Digital Filmmaking. The 8th ACM Conference on Creativity and Cognition. Atlanta, Georgia, 2011. pp. 207-216. (Best Student Paper)
  49. James Niehaus, Boyang Li, and Mark O. Riedl. Automated Scenario Adaptation in Support of Intelligent Tutoring Systems. The 24th Conference of the Florida Artificial Intelligence Research Society. Palm Beach, Florida, 2011.
  50. Boyang Li and Mark O. Riedl. An Offline Planning Approach to Game Plotline Adaptation. The 6th Conference on Artificial Intelligence for Interactive Digital Entertainment. Palo Alto, California, 2010. pp. 45-50.
  51. Boyang Li, Han Yu, Zhiqi Shen, Chunyan Miao, Evolutionary Organizational Search (Extended Abstract),The 8th International Conference on Autonomous Agents and Multiagent Systems , Budapest, Hungary, 2009. pp. 1329-1330. Poster
  52. Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh, Memetic Gradient Search, IEEE Congress on Evolutionary Computation. Hong Kong, 2008. (CEC 2008). pp. 2894-2901.
  53. Hock Beng Lim, Keck Voon Ling, Wenqiang Wang, Yuxia Yao, Mudasser Iqbal, Boyang Li, Xiaonan Yin, Tarun Sharma, The National Weather Sensor Grid. The 5th ACM Conference on Embedded Networked Sensor Systems. 2007. pp. 369-370.

Journal Papers

  1. Yubin Xiao, Di Wang, Boyang Li, Huanhuan Chen, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, and You Zhou. Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems. IEEE Transactions on Neural Networks and Learning Systems. 2024.
  2. Tong Zhang, X. Jesse Yang, Boyang Li. May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability. International Journal of Human-Computer Interaction. 2024.
  3. Jiayun Luo, Boyang Li, and Cyril Leung. A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture. ACM Computing Surveys, 56 (5), pp 1-39. 2023.
  4. Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, and Steven C.H. Hoi. Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognition Letters. 2023.
  5. Siwei Feng, Boyang Li, Han Yu, Yang Liu, and Qiang Yang. Semi-Supervised Federated Heterogeneous Transfer Learning. Knowledge-Based Systems. 252. 2022.
  6. Wang Hao, Boyang Li, Haoming Zhong, Ahong Xu, Yingjie Huang, Jingfu Zou, Yuanyuan Chen, Pengcheng Wu, Yiqiang Chen, Cyril Leung, and Chunyan Miao. Smart Decision-Support System for Pig Farming. Drones. 6 (12). 2022.
  7. Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Zaiqing Nie, and Chunyan Miao. Federated Learning for Personalized Humor Recognition. ACM Transactions on Intelligent Systems and Technology. 2022.
  8. Adam Noack, Isaac Ahern, Dejing Dou, and Boyang Li. An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness. Springer Nature Computer Science, 2(32). 2021. [Code]
  9. Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, and Xiangyang Xue. A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization. IEEE Transaction on Multimedia. 2019.
  10. Ng Annalyn, Maarten Bos, Leonid Sigal, Boyang Li. Predicting Personality from Book Preferences with User-Generated Content Labels. IEEE Transaction on Affective Computing. 11(3). 2018.
  11. Boyang Li. Humor: A Dynamic and Dual-Process Theory with Computational Considerations. Advances in Cognitive Systems. 2016.
  12. Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, and Leonid Sigal. Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. IEEE Transaction on Affective Computing. 2016.
  13. Jun Ji, Han Yu, Boyang Li, and Huiguo Zhang. Learning Chinese Characters with Gestures. International Journal of Information Technology. 19(1), 2013.
  14. Boyang Li, Stephen Lee-Urban, D. Scott Appling and Mark O. Riedl. Crowdsourcing Narrative Intelligence. Advances in Cognitive Systems. 2012.
  15. Y. Cai, C. Miao, A.-H. Tan, Z. Shen, and Boyang Li, Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps, IEEE Computer Graphics and Applications, 30(2) (March/April 2010) pp. 58-70.

Workshop Papers

  1. Yinan Zhang, Boyang Li, You Yuan, and Chunyan Miao. Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference. WSDM 2023 Workshop on Interactive Recommender Systems. 2023.
  2. Tong Zhang, Yong Liu, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao, and Boyang Li. Toward Knowledge-Enriched Conversational Recommendation System. The 4th Workshop on NLP for ConvAI. 2022.
  3. Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, and Chunyan Miao. Federated Learning with Diversified Preference for Humor Recognition. International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI (FL-IJCAI 2020). 2020.
  4. Matthew Guzdial, Nathan Sturtevant and Boyang Li. Deep Static and Dynamic Level Analysis: A Study on Infinite Mario. The 3rd Experimental AI in Games Workshop. Burlingame, CA. 2016.
  5. Boyang Li, Mohini Thakkar, Yijie Wang, and Mark O. Riedl. Data-Driven Alibi Story Telling for Social Believability. The Social Believability in Games Workshop, Fort Lauderdale, FL, 2014.
  6. Boyang Li. Narrative Intelligence Without (Domain) Boundaries. Doctoral Consortium, the 7th Annual Conference on Artificial Intelligence and Interactive Digital Entertainment. 2012.
  7. Boyang Li, Stephen Lee-Urban, and Mark O. Riedl. Toward Autonomous Crowd-Powered Creation of Interactive Narratives. The 5th Workshop on Intelligent Narrative Technologies, Palo Alto, California, 2012.
  8. Boyang Li, D. Scott Appling, Stephen Lee-Urban, and Mark O. Riedl. Learning Sociocultural Knowledge via Crowdsourced Examples. The 4th AAAI Workshop on Human Computation, Toronto, Canada, 2012.
  9. Boyang Li, Stephen Lee-Urban, D. Scott Appling, and Mark O. Riedl. Automatically Learning to Tell Stories about Social Situations from the Crowd. LREC 2012 Workshop on Computational Models of Narrative, Istanbul, Turkey, 2012.
  10. Boyang Li and Mark O. Riedl. A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies. The Fourth Workshop on Intelligent Narrative Technologies, Palo Alto, California, 2011.
  11. Boyang Li and Mark O. Riedl. Planning for Individualized Experiences with Quest-Centric Game Adaptation. ICAPS'10 Workshop on Planning in Games, Toronto, Canada, 2010.
  12. Mark O. Riedl and Boyang Li. Creating Customized Virtual Experiences by Leveraging Human Creative Effort: A Desideratum. AAMAS'10 Workshop on Collaborative Human/AI Control for Interactive Experiences, Toronto, Canada, 2010.

Preprints and Tech Reports

  1. Xin Zhou, Dejing Dou, and Boyang Li. Searching for Stage-wise Neural Graphs In the Limit. arXiv:1912.12860
  2. Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan. NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. arXiv:1909.04200

Dissertation

  1. Boyang Li. Learning Knowledge to Support Domain-Independent Narrative Intelligence. School of Interactive Computing, Georgia Institute of Technology. Ph.D. Dissertation. 2015. Data

Demos

  1. Yixiao Lan, Yuan Liu, Boyang Li, Chunyan Miao. Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo). The 35th AAAI Conference on Artificial Intelligence. Virtual Conference. 2021.
  2. Boyang Li and Mark O. Riedl. Scheherazade: Crowd-Powered Interactive Narrative Generation. The 29th AAAI Conference on Artificial Intelligence. Austin, TX, 2015.
  3. Huiliang Zhang, Zhiqi Shen, Xuehong Tao, Chunyan Miao, Boyang Li, Ailiya, Yundong Cai. Emotional agent in serious game (DINO). The 8th International Conference on Autonomous Agents and Multiagent Systems. Budapest, Hungary. 2009.

Book Chapters

  1. Boyang Li and Mark O. Riedl. Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach. In Agents for Games and Simulations II. Frank Dignum (Ed.) LNAI 6525. 2011. pp. 99-116.