Boyang Li

Orcid: 0000-0002-6230-2376

Affiliations:
  • Nanyang Technological University, School of Computer Science and Engineering, Singapore
  • Baidu USA, Sunnyvale, CA, USA
  • Liulishuo Silicon Valley, San Mateo, CA, USA
  • Disney Research, Pittsburgh, PA, USA
  • Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA (PhD)


According to our database1, Boyang Li authored at least 92 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
A Survey of Computer Vision Technologies in Urban and Controlled-environment Agriculture.
ACM Comput. Surv., May, 2024

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels.
CoRR, 2024

Multilingual Synopses of Movie Narratives: A Dataset for Story Understanding.
CoRR, 2024

Rationale-based Ensemble of Multiple QA Strategies for Zero-shot Knowledge-based VQA.
CoRR, 2024

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture.
CoRR, 2024

What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Event Causality Is Key to Computational Story Understanding.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Improving Tail-Class Representation with Centroid Contrastive Learning.
Pattern Recognit. Lett., April, 2023

Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction.
CoRR, 2023

Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models.
CoRR, 2023

May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability.
CoRR, 2023

Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems.
CoRR, 2023

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training Multimedia Event Extraction With Generated Images and Captions.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models.
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023

Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Is GPT-3 a Good Data Annotator?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Federated Learning for Personalized Humor Recognition.
ACM Trans. Intell. Syst. Technol., 2022

Semi-Supervised Federated Heterogeneous Transfer Learning.
Knowl. Based Syst., 2022

From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models.
CoRR, 2022

Is GPT-3 a Good Data Annotator?
CoRR, 2022

Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground.
CoRR, 2022

Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference.
CoRR, 2022

Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction.
CoRR, 2022

Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding.
CoRR, 2022

History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Toward Knowledge-Enriched Conversational Recommendation Systems.
Proceedings of the 4th Workshop on NLP for Conversational AI, 2022

2021
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness.
SN Comput. Sci., 2021

Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering.
CoRR, 2021

VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining.
CoRR, 2021

Proof of Learning (PoLe): Empowering neural network training with consensus building on blockchains.
Comput. Networks, 2021

Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
A Multi-Task Neural Approach for Emotion Attribution, Classification, and Summarization.
IEEE Trans. Multim., 2020

Predicting Personality from Book Preferences with User-Generated Content Labels.
IEEE Trans. Affect. Comput., 2020

Federated Learning with Diversified Preference for Humor Recognition.
CoRR, 2020

Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains.
CoRR, 2020

Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss.
CoRR, 2020

2019
Searching for Stage-wise Neural Graphs In the Limit.
CoRR, 2019

Does Interpretability of Neural Networks Imply Adversarial Robustness?
CoRR, 2019

NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks.
CoRR, 2019

Joint Event Detection and Description in Continuous Video Streams.
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2019

Understanding Actors and Evaluating Personae with Gaussian Embeddings.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization.
IEEE Trans. Affect. Comput., 2018

Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters.
CoRR, 2018

LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH).
CoRR, 2018

Annotating High-Level Structures of Short Stories and Personal Anecdotes.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH).
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent.
Proceedings of the Intelligent Virtual Agents - 17th International Conference, 2017

Predicting the Quality of Short Narratives from Social Media.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Game Engine Learning from Video.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming.
Proceedings of the Thirteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-17), 2017

Collaborative Storytelling between Robot and Child: A Feasibility Study.
Proceedings of the 2017 Conference on Interaction Design and Children, 2017

2016
The AIIDE 2015 Workshop Program.
AI Mag., 2016

Video Emotion Recognition with Transferred Deep Feature Encodings.
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval, 2016

Semi-situated learning of verbal and nonverbal content for repeated human-robot interaction.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

PlotShot: Generating Discourse-Constrained Stories Around Photos.
Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016

Multiplicative Representations for Unsupervised Semantic Role Induction.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Learning knowledge to support domain-independent narrative intelligence.
PhD thesis, 2015

An Evolutionary Framework for Multi-agent Organizations.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Crowdsourcing Open Interactive Narrative.
Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

Scheherazade: Crowd-Powered Interactive Narrative Generation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
From Data to Storytelling Agents.
Proceedings of the Intelligent Virtual Agents - 14th International Conference, 2014

Storytelling with Adjustable Narrator Styles and Sentiments.
Proceedings of the Interactive Storytelling, 2014

2013
Crowdsourcing interactive fiction games.
Proceedings of the 8th International Conference on the Foundations of Digital Games, 2013

Story Generation with Crowdsourced Plot Graphs.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012
Toward Autonomous Crowd-Powered Creation of Interactive Narratives.
Proceedings of the 5th Workshop on Intelligent Narrative Technologies, 2012

Goal-Driven Conceptual Blending: A Computational Approach for Creativity.
Proceedings of the Third International Conference on Computational Creativity, 2012

Learning Sociocultural Knowledge via Crowdsourced Examples.
Proceedings of the 4th Human Computation Workshop, 2012

2011
Automated Scenario Adaptation in Support of Intelligent Tutoring Systems.
Proceedings of the Twenty-Fourth International Florida Artificial Intelligence Research Society Conference, 2011

Creative gadget design in fictions: generalized planning in analogical spaces.
Proceedings of the 8th Conference on Creativity & Cognition, 2011

Distributed creative cognition in digital filmmaking.
Proceedings of the 8th Conference on Creativity & Cognition, 2011

Robust and Authorable Multiplayer Storytelling Experiences.
Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies.
Proceedings of the Intelligent Narrative Technologies IV, 2011

2010
Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps.
IEEE Computer Graphics and Applications, 2010

An Offline Planning Approach to Game Plotline Adaptation.
Proceedings of the Sixth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2010

Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach.
Proceedings of the Agents for Games and Simulations II, 2010

2009
Evolutionary organizational search.
Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008
Memetic Gradient Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
The national weather sensor grid.
Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, 2007


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