The national weather sensor grid. - Hock-Beng Lim; Keck Voon Ling; Wenqiang Wang; Yuxia Yao; Mudasser Iqbal; Boyang Li 001; Xiaonan Yin; Tarun Sharma (SenSys, 2007)

Memetic Gradient Search. - Boyang Li 001; Yew-Soon Ong; Minh Nghia Le; Chi Keong Goh (IEEE Congress on Evolutionary Computation, 2008)

Evolutionary organizational search. - Boyang Li 001; Han Yu 001; Zhiqi Shen 001; Chunyan Miao (AAMAS (2), 2009)

Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach. - Boyang Li 001; Mark O. Riedl (AGS, 2010)

An Offline Planning Approach to Game Plotline Adaptation. - Boyang Li 001; Mark O. Riedl (AIIDE, 2010)

Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps. - Yundong Cai; Chunyan Miao; Ah-Hwee Tan; Zhiqi Shen 001; Boyang Li 001 (IEEE Computer Graphics and Applications, 2010)

A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies. - Boyang Li 001; Mark O. Riedl (Intelligent Narrative Technologies, 2011)

Robust and Authorable Multiplayer Storytelling Experiences. - Mark O. Riedl; Boyang Li 001; Hua Ai; Ashwin Ram 001 (AIIDE, 2011)

Distributed creative cognition in digital filmmaking. - Nicholas M. Davis; Boyang Li 001; Brian O'Neill; Mark O. Riedl; Michael Nitsche (Creativity & Cognition, 2011)

Creative gadget design in fictions: generalized planning in analogical spaces. - Boyang Li 001; Mark O. Riedl (Creativity & Cognition, 2011)

Automated Scenario Adaptation in Support of Intelligent Tutoring Systems. - James Michael Niehaus; Boyang Li 001; Mark O. Riedl (FLAIRS, 2011)

Learning Sociocultural Knowledge via Crowdsourced Examples. - Boyang Li 001; Darren Scott Appling; Stephen Lee-Urban; Mark O. Riedl (HCOMP@AAAI, 2012)

Goal-Driven Conceptual Blending: A Computational Approach for Creativity. - Boyang Li 001; Alexander Zook; Nicholas M. Davis; Mark O. Riedl (ICCC, 2012)

Toward Autonomous Crowd-Powered Creation of Interactive Narratives. - Boyang Li 001; Stephen Lee-Urban; Mark O. Riedl (INT@AIIDE, 2012)

Story Generation with Crowdsourced Plot Graphs. - Boyang Li 001; Stephen Lee-Urban; George Johnston; Mark O. Riedl (AAAI, 2013)

Crowdsourcing interactive fiction games. - Boyang Li 001; Stephen Lee-Urban; Mark O. Riedl (FDG, 2013)

Storytelling with Adjustable Narrator Styles and Sentiments. - Boyang Li 001; Mohini Thakkar; Yijie Wang; Mark O. Riedl (ICIDS, 2014)

From Data to Storytelling Agents. - Boyang Li 001; Mohini Thakkar; Yijie Wang; Mark O. Riedl (IVA, 2014)

Scheherazade: Crowd-Powered Interactive Narrative Generation. - Boyang Li 001; Mark O. Riedl (AAAI, 2015)

Crowdsourcing Open Interactive Narrative. - Matthew Guzdial; Brent Harrison; Boyang Li 001; Mark O. Riedl (FDG, 2015)

An Evolutionary Framework for Multi-agent Organizations. - Boyang Li 001; Han Yu 001; Zhiqi Shen 001; Lizhen Cui; Victor R. Lesser (WI-IAT (2), 2015)

Learning knowledge to support domain-independent narrative intelligence. - Boyang Li 001 (2015)

Multiplicative Representations for Unsupervised Semantic Role Induction. - Yi Luan; Yangfeng Ji; Hannaneh Hajishirzi; Boyang Li 001 (ACL (2), 2016)

PlotShot: Generating Discourse-Constrained Stories Around Photos. - Rogelio Enrique Cardona-Rivera; Boyang Li 001 (AIIDE, 2016)

Semi-situated learning of verbal and nonverbal content for repeated human-robot interaction. - Iolanda Leite; André Pereira 001; Allison Funkhouser; Boyang Li 001; Jill Fain Lehman (ICMI, 2016)

Video Emotion Recognition with Transferred Deep Feature Encodings. - Baohan Xu; Yanwei Fu 001; Yu-Gang Jiang 001; Boyang Li 001; Leonid Sigal (ICMR, 2016)

The AIIDE 2015 Workshop Program. - Camille Barot; Michael Buro; Michael Cook 001; Mirjam Palosaari Eladhari; Boyang Li 001; Antonios Liapis; Magnus Johansson; Josh McCoy; Santiago Ontañón; Jonathan P. Rowe; Emmett Tomai; Harko Verhagen; et al. (AI Mag., 2016)

Collaborative Storytelling between Robot and Child: A Feasibility Study. - Ming Sun; Iolanda Leite; Jill Fain Lehman; Boyang Li 001 (IDC, 2017)

Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming. - Sasha Azad; Jingyang Xu; Haining Yu; Boyang Li 001 (AIIDE, 2017)

Game Engine Learning from Video. - Matthew Guzdial; Boyang Li 001; Mark O. Riedl (IJCAI, 2017)

Predicting the Quality of Short Narratives from Social Media. - Tong Wang 007; Ping Chen 001; Boyang Li 001 (IJCAI, 2017)

Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent. - James Kennedy 001; Iolanda Leite; André Pereira 001; Ming Sun; Boyang Li 001; Rishub Jain; Ricson Cheng; Eli Pincus; Elizabeth J. Carter; Jill Fain Lehman (IVA, 2017)

A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH). - Pelin Dogan; Boyang Li 001; Leonid Sigal; Markus H. Gross (CVPR, 2018)

Annotating High-Level Structures of Short Stories and Personal Anecdotes. - Boyang Li 001; Beth Cardier; Tong Wang 007; Florian Metze (LREC, 2018)

LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH). - Pelin Dogan; Boyang Li 001; Leonid Sigal; Markus H. Gross (CoRR, 2018)

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters. - Hannah Kim 001; Denys Katerenchuk; Daniel Billet; Haesun Park; Boyang Li 001 (CoRR, 2018)

Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. - Baohan Xu; Yanwei Fu 001; Yu-Gang Jiang 001; Boyang Li 001; Leonid Sigal (IEEE Trans. Affect. Comput., 2018)

Understanding Actors and Evaluating Personae with Gaussian Embeddings. - Hannah Kim 001; Denys Katerenchuk; Daniel Billet; Jun Huan; Haesun Park; Boyang Li 001 (AAAI, 2019)

Joint Event Detection and Description in Continuous Video Streams. - Huijuan Xu 001; Boyang Li 001; Vasili Ramanishka; Leonid Sigal; Kate Saenko (WACV Workshops, 2019)

NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. - Isaac Ahern; Adam Noack; Luis Guzman-Nateras; Dejing Dou; Boyang Li 001; Jun Huan (CoRR, 2019)

Does Interpretability of Neural Networks Imply Adversarial Robustness? - Adam Noack; Isaac Ahern; Dejing Dou; Boyang Li 001 (CoRR, 2019)

Searching for Stage-wise Neural Graphs In the Limit. - Xin Zhou; Dejing Dou; Boyang Li 001 (CoRR, 2019)

Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss. - Sherif Abdelkarim; Panos Achlioptas; Jiaji Huang; Boyang Li 001; Kenneth Church 001; Mohamed Elhoseiny (CoRR, 2020)

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains. - Yixiao Lan; Yuan Liu 002; Boyang Li 001 (CoRR, 2020)

Federated Learning with Diversified Preference for Humor Recognition. - Xu Guo 002; Pengwei Xing; Siwei Feng; Boyang Li 001; Chunyan Miao (CoRR, 2020)

Predicting Personality from Book Preferences with User-Generated Content Labels. - Ng Annalyn; Maarten W. Bos; Leonid Sigal; Boyang Li 001 (IEEE Trans. Affect. Comput., 2020)

A Multi-Task Neural Approach for Emotion Attribution, Classification, and Summarization. - Guoyun Tu; Yanwei Fu 001; Boyang Li 001; Jiarui Gao; Yu-Gang Jiang 001; Xiangyang Xue 001 (IEEE Trans. Multim., 2020)

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. - Yuanyuan Chen; Boyang Li 001; Han Yu 001; Pengcheng Wu; Chunyan Miao (AAAI, 2021)

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo). - Yixiao Lan; Yuan Liu 002; Boyang Li 001; Chunyan Miao (AAAI, 2021)

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. - Chang Liu 040; Han Yu 001; Boyang Li 001; Zhiqi Shen 001; Zhanning Gao; Peiran Ren; Xuansong Xie; Lizhen Cui; Chunyan Miao (CVPR, 2021)

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. - Sherif Abdelkarim; Aniket Agarwal; Panos Achlioptas; Jun Chen 021; Jiaji Huang; Boyang Li 001; Kenneth Church 001; Mohamed Elhoseiny (ICCV, 2021)

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. - Yinan Zhang 002; Boyang Li 001; Yong Liu 020; Hao Wang 005; Chunyan Miao (KDD, 2021)

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. - Xu Guo 002; Boyang Li 001; Han Yu 001; Chunyan Miao (NAACL-HLT, 2021)

Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions. - Jianan Wang; Boyang Li 001; Xiangyu Fan; Jing Lin; Yanwei Fu 001 (WACV, 2021)

Proof of Learning (PoLe): Empowering neural network training with consensus building on blockchains. - Yuan Liu 002; Yixiao Lan; Boyang Li 001; Chunyan Miao; Zhihong Tian (Comput. Networks, 2021)

VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. - Jun Chen 021; Han Guo; Kai Yi; Boyang Li 001; Mohamed Elhoseiny (CoRR, 2021)

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. - Chang Liu 040; Han Yu 001; Boyang Li 001; Zhiqi Shen 001; Zhanning Gao; Peiran Ren; Xuansong Xie; Lizhen Cui; Chunyan Miao (CoRR, 2021)

An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. - Adam Noack; Isaac Ahern; Dejing Dou; Boyang Li 001 (SN Comput. Sci., 2021)

Toward Knowledge-Enriched Conversational Recommendation Systems. - Tong Zhang; Yong Liu 020; Boyang Li 001; Peixiang Zhong; Chen Zhang 003; Hao Wang 005; Chunyan Miao (ConvAI@ACL, 2022)

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. - Jun Chen 021; Han Guo; Kai Yi; Boyang Li 001; Mohamed Elhoseiny (CVPR, 2022)

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation. - Xu Guo 002; Boyang Li 001; Han Yu 001 (EMNLP (Findings), 2022)

Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. - Anthony Meng Huat Tiong; Junnan Li 001; Boyang Li 001; Silvio Savarese; Steven C. H. Hoi (EMNLP (Findings), 2022)

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. - Tong Zhang; Yong Liu 020; Boyang Li 001; Zhiwei Zeng; Pengwei Wang 005; Yuan You; Chunyan Miao; Lizhen Cui (EMNLP (Findings), 2022)

Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding. - Yidan Sun; Qin Chao; Boyang Li 001 (CoRR, 2022)

Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction. - Jun Chen 021; Ming Hu; Boyang Li 001; Mohamed Elhoseiny (CoRR, 2022)

Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference. - Yinan Zhang 002; Boyang Li 001; Yong Liu 020; You Yuan; Chunyan Miao (CoRR, 2022)

Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground. - Haoxin Li; Yue Wu; Yuan Liu 002; Hanwang Zhang; Boyang Li 001 (CoRR, 2022)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Lidong Bing; Shafiq R. Joty; Boyang Li 001 (CoRR, 2022)

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. - Jiaxian Guo; Junnan Li 001; Dongxu Li; Anthony Meng Huat Tiong; Boyang Li 001; Dacheng Tao; Steven C. H. Hoi (CoRR, 2022)

Semi-Supervised Federated Heterogeneous Transfer Learning. - Siwei Feng; Boyang Li 001; Han Yu 001; Yang Liu 165; Qiang Yang 001 (Knowl. Based Syst., 2022)

Federated Learning for Personalized Humor Recognition. - Xu Guo 002; Han Yu 001; Boyang Li 001; Hao Wang 005; Pengwei Xing; Siwei Feng; Zaiqing Nie; Chunyan Miao (ACM Trans. Intell. Syst. Technol., 2022)

Is GPT-3 a Good Data Annotator? - Bosheng Ding; Chengwei Qin; Linlin Liu; Yew Ken Chia; Boyang Li 001; Shafiq Joty; Lidong Bing (ACL (1), 2023)

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. - Jiaxian Guo; Junnan Li 001; Dongxu Li; Anthony Meng Huat Tiong; Boyang Li 001; Dacheng Tao; Steven C. H. Hoi (CVPR, 2023)

Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. - Haoxin Li; Yuan Liu 002; Hanwang Zhang; Boyang Li 001 (ICCV, 2023)

Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models. - Boyang Li 001 (LGM3A@MM, 2023)

Training Multimedia Event Extraction With Generated Images and Captions. - Zilin Du; Yunxin Li; Xu Guo 002; Yidan Sun; Boyang Li 001 (ACM Multimedia, 2023)

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. - Wenliang Dai; Junnan Li 001; Dongxu Li; Anthony Meng Huat Tiong; Junqi Zhao; Weisheng Wang; Boyang Li 001; Pascale Fung; Steven C. H. Hoi (NeurIPS, 2023)

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems. - Yubin Xiao; Di Wang 004; Huanhuan Chen; Boyang Li 001; Wei Pang 001; Xuan Wu 004; Hao Li; Dong Xu 002; Yanchun Liang 001; You Zhou 008 (CoRR, 2023)

Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. - Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li 001 (CoRR, 2023)

Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction. - Zilin Du; Haoxin Li; Xu Guo 002; Boyang Li 001 (CoRR, 2023)

Improving Tail-Class Representation with Centroid Contrastive Learning. - Anthony Meng Huat Tiong; Junnan Li 001; Guosheng Lin; Boyang Li 001; Caiming Xiong; Steven C. H. Hoi (Pattern Recognit. Lett., 2023)

Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. - Yubin Xiao; Di Wang 004; Boyang Li 001; Mingzhao Wang; Xuan Wu 004; Changliang Zhou; You Zhou 008 (AAAI, 2024)

Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. - Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li 001 (CVPR, 2024)

Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding. - Yidan Sun; Jianfei Yu; Boyang Li 001 (EMNLP (Findings), 2024)

Event Causality Is Key to Computational Story Understanding. - Yidan Sun; Qin Chao; Boyang Li 001 (NAACL-HLT, 2024)

What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. - Anthony Meng Huat Tiong; Junqi Zhao; Boyang Li 001; Junnan Li 001; Steven C. H. Hoi; Caiming Xiong (NAACL-HLT, 2024)

Rationale-based Ensemble of Multiple QA Strategies for Zero-shot Knowledge-based VQA. - Miaoyu Li; Haoxin Li; Zilin Du; Boyang Li 001 (CoRR, 2024)

Multilingual Synopses of Movie Narratives: A Dataset for Story Understanding. - Yidan Sun; Jianfei Yu; Boyang Li 001 (CoRR, 2024)

Generating Synthetic Datasets for Few-shot Prompt Tuning. - Xu Guo 002; Zilin Du; Boyang Li 001; Chunyan Miao (CoRR, 2024)

Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding. - Zilin Du; Haoxin Li; Jianfei Yu; Boyang Li 001 (CoRR, 2024)

Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses. - Jiayun Luo; Mir Rayat Imtiaz Hossain; Boyang Li 001; Leonid Sigal (CoRR, 2024)

A Survey of Computer Vision Technologies in Urban and Controlled-environment Agriculture. - Jiayun Luo; Boyang Li 001; Cyril Leung (ACM Comput. Surv., 2024)

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. - Chaoqun Liu; Qin Chao; Wenxuan Zhang 001; Xiaobao Wu; Boyang Li 001; Anh Tuan Luu; Lidong Bing (COLING, 2025)

Conversational Explanations: Discussing Explainable AI with Non-AI Experts. - Tong Zhang; Mengao Zhang; Wei Yan Low; X. Jessie Yang; Boyang "Albert" Li (IUI, 2025)

Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images. - Jun Chen 021; Faizan Farooq Khan; Ming Hu; Ammar Sherif; Zongyuan Ge; Boyang Li 001; Mohamed Elhoseiny (WACV, 2025)

Improving generalization of neural Vehicle Routing Problem solvers through the lens of model architecture. - Yubin Xiao; Di Wang 004; Xuan Wu 004; Yuesong Wu; Boyang Li 001; Wei Du 002; Liupu Wang; You Zhou 008 (Neural Networks, 2025)

Learning to Animate Images from A Few Videos to Portray Delicate Human Actions. - Haoxin Li; Yingchen Yu; Qilong Wu; Hanwang Zhang; Song Bai 001; Boyang Li 001 (CoRR, 2025)

Two Causally Related Needles in a Video Haystack. - Miaoyu Li; Qin Chao; Boyang Li 001 (CoRR, 2025)

May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability. - Tong Zhang; X. Jessie Yang; Boyang Li 001 (Int. J. Hum. Comput. Interact., 2025)

GELD: A Unified Neural Model for Efficiently Solving Traveling Salesman Problems Across Different Scales. - Yubin Xiao; Di Wang 004; Rui Cao; Xuan Wu 004; Boyang Li 001; You Zhou 008 (CoRR, 2025)

Reinforcement Learning-Based Nonautoregressive Solver for Traveling Salesman Problems. - Yubin Xiao; Di Wang 004; Boyang Li 001; Huanhuan Chen; Wei Pang 001; Xuan Wu 004; Hao Li; Dong Xu 002; Yanchun Liang 001; You Zhou 008 (IEEE Trans. Neural Networks Learn. Syst., 2025)