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ORCIDBoyang Li 0001
Boyang "Albert" Li
Person information
- affiliation: Nanyang Technological University, School of Computer Science and Engineering, Singapore
- affiliation: Baidu USA, Sunnyvale, CA, USA
- affiliation: Liulishuo Silicon Valley, San Mateo, CA, USA
- affiliation: Disney Research, Pittsburgh, PA, USA
- affiliation (PhD): Georgia Institute of Technology, School of Interactive Computing, Atlanta, GA, USA
Other persons with the same name
- Boyang Li (aka: Bo-Yang Li) — disambiguation page
- Boyang Li 0002 — LinkedIn, Mountain View, CA, USA (and 3 more)
- Boyang Li 0003 — University of Notre Dame, Department of Computer Science and Engineering, IN, USA
- Boyang Li 0004 — Harbin Institute of Technology, Department of Electrical Engineering, China
- Boyang Li 0005
![[0000-0002-6900-0901]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6900-0901")
— Hong Kong Polytechnic University, Kowloon, Hong Kong (and 2 more) - Boyang Li 0006 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Boyang Li 0007 — National University of Defense Technology, College of Electronic Science and Technology, Changsha, China (and 2 more)
- Boyang Li 0008 — Waseda University, Graduate School of Information, Production and Systems, Fukuoka, Japan
- Boyang Li 0009 — Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
- Boyang Li 0010 — Shanghai University, School of Mechatronics Engineering and Automation, China
- Boyang Li 0011 — Yale University, School of Public Health, New Haven, CT, USA
- Boyang Li 0012 — Aarhus University, Department of Computer Science, Denmark
- Boyang Li 0013 — China University of Petroleum, School of Computer Science and Communication Engineering, Dongying, China
- Boyang Li 0014 — Beijing University of Technology, College of Electronic and Control Engineering, China
- Boyang Li 0015 — Ulm University, Institute for Energy Conversion and Storage, Germany
- Boyang Li 0016 — Chinese University of Hong Kong, Hong Kong
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Books and Theses
- 2015
[b1]Boyang Li:
Learning knowledge to support domain-independent narrative intelligence. Georgia Institute of Technology, Atlanta, GA, USA, 2015
Journal Articles
- 2024
- [j11]Jiayun Luo, Boyang Li, Cyril Leung:
A Survey of Computer Vision Technologies in Urban and Controlled-environment Agriculture. ACM Comput. Surv. 56(5): 118:1-118:39 (2024) - 2023
- [j10]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168: 123-130 (2023) - 2022
- [j9]Siwei Feng, Boyang Li, Han Yu, Yang Liu, Qiang Yang:
Semi-Supervised Federated Heterogeneous Transfer Learning. Knowl. Based Syst. 252: 109384 (2022) - [j8]Xu Guo, Han Yu, Boyang Li, Hao Wang, Pengwei Xing, Siwei Feng, Zaiqing Nie, Chunyan Miao:
Federated Learning for Personalized Humor Recognition. ACM Trans. Intell. Syst. Technol. 13(4): 68:1-68:18 (2022) - 2021
- [j7]Yuan Liu, Yixiao Lan, Boyang Li, Chunyan Miao, Zhihong Tian:
Proof of Learning (PoLe): Empowering neural network training with consensus building on blockchains. Comput. Networks 201: 108594 (2021) - [j6]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
An Empirical Study on the Relation Between Network Interpretability and Adversarial Robustness. SN Comput. Sci. 2(1): 32 (2021) - 2020
- [j5]Ng Annalyn, Maarten W. Bos, Leonid Sigal, Boyang Li:
Predicting Personality from Book Preferences with User-Generated Content Labels. IEEE Trans. Affect. Comput. 11(3): 482-492 (2020) - [j4]Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, Xiangyang Xue:
A Multi-Task Neural Approach for Emotion Attribution, Classification, and Summarization. IEEE Trans. Multim. 22(1): 148-159 (2020) - 2018
- [j3]Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal:
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. IEEE Trans. Affect. Comput. 9(2): 255-270 (2018) - 2016
- [j2]Camille Barot, Michael Buro, Michael Cook, Mirjam Palosaari Eladhari, Boyang Li, Antonios Liapis, Magnus Johansson, Josh McCoy, Santiago Ontañón, Jonathan P. Rowe, Emmett Tomai, Harko Verhagen, Alexander Zook:
The AIIDE 2015 Workshop Program. AI Mag. 37(2): 91-94 (2016) - 2010
- [j1]Yundong Cai, Chunyan Miao, Ah-Hwee Tan, Zhiqi Shen, Boyang Li:
Creating an Immersive Game World with Evolutionary Fuzzy Cognitive Maps. IEEE Computer Graphics and Applications 30(2): 58-70 (2010)
Conference and Workshop Papers
- 2025
- [c58]Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing:
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. COLING 2025: 3716-3731 - 2024
- [c57]Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou:
Distilling Autoregressive Models to Obtain High-Performance Non-autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. AAAI 2024: 20274-20283 - [c56]Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li:
Emergent Open-Vocabulary Semantic Segmentation from Off-the-Shelf Vision-Language Models. CVPR 2024: 4029-4040 - [c55]Yidan Sun, Jianfei Yu, Boyang Li:
Multilingual Synopses of Movie Narratives: A Dataset for Vision-Language Story Understanding. EMNLP (Findings) 2024: 13488-13504 - [c54]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT 2024: 3427-3454 - [c53]Yidan Sun, Qin Chao, Boyang Li:
Event Causality Is Key to Computational Story Understanding. NAACL-HLT 2024: 3493-3511 - 2023
- [c52]Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, Lidong Bing:
Is GPT-3 a Good Data Annotator? ACL (1) 2023: 11173-11195 - [c51]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models. CVPR 2023: 10867-10877 - [c50]Haoxin Li, Yuan Liu, Hanwang Zhang, Boyang Li:
Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. ICCV 2023: 19854-19866 - [c49]Boyang Li:
Unlocking Multimedia Capabilities of Gigantic Pretrained Language Models. LGM3A@MM 2023: 3-4 - [c48]Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li:
Training Multimedia Event Extraction With Generated Images and Captions. ACM Multimedia 2023: 5504-5513 - [c47]Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi:
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. NeurIPS 2023 - 2022
- [c46]Tong Zhang, Yong Liu, Boyang Li, Peixiang Zhong, Chen Zhang, Hao Wang, Chunyan Miao:
Toward Knowledge-Enriched Conversational Recommendation Systems. ConvAI@ACL 2022: 212-217 - [c45]Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. CVPR 2022: 18009-18019 - [c44]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. EMNLP (Findings) 2022: 951-967 - [c43]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. EMNLP (Findings) 2022: 3395-3407 - [c42]Xu Guo, Boyang Li, Han Yu:
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation. EMNLP (Findings) 2022: 3523-3537 - 2021
- [c41]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. AAAI 2021: 7081-7089 - [c40]Yixiao Lan, Yuan Liu, Boyang Li, Chunyan Miao:
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo). AAAI 2021: 16063-16066 - [c39]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. CVPR 2021: 6811-6820 - [c38]Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. ICCV 2021: 15901-15910 - [c37]Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao:
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. KDD 2021: 2263-2273 - [c36]Xu Guo, Boyang Li, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. NAACL-HLT 2021: 5394-5407 - [c35]Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, Yanwei Fu:
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions. WACV 2021: 665-675 - 2019
- [c34]Hannah Kim, Denys Katerenchuk, Daniel Billet, Jun Huan, Haesun Park, Boyang Li:
Understanding Actors and Evaluating Personae with Gaussian Embeddings. AAAI 2019: 6570-6577 - [c33]Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. WACV Workshops 2019: 25-26 - [c32]Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. WACV 2019: 396-405 - 2018
- [c31]Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross:
A Neural Multi-Sequence Alignment TeCHnique (NeuMATCH). CVPR 2018: 8749-8758 - [c30]Boyang Li, Beth Cardier, Tong Wang, Florian Metze:
Annotating High-Level Structures of Short Stories and Personal Anecdotes. LREC 2018 - 2017
- [c29]Ming Sun, Iolanda Leite, Jill Fain Lehman, Boyang Li:
Collaborative Storytelling between Robot and Child: A Feasibility Study. IDC 2017: 205-214 - [c28]Sasha Azad, Jingyang Xu, Haining Yu, Boyang Li:
Scheduling Live Interactive Narratives with Mixed-Integer Linear Programming. AIIDE 2017: 2-8 - [c27]Matthew Guzdial, Boyang Li, Mark O. Riedl:
Game Engine Learning from Video. IJCAI 2017: 3707-3713 - [c26]Tong Wang, Ping Chen, Boyang Li:
Predicting the Quality of Short Narratives from Social Media. IJCAI 2017: 3859-3865 - [c25]James Kennedy, Iolanda Leite, André Pereira, Ming Sun, Boyang Li, Rishub Jain, Ricson Cheng, Eli Pincus, Elizabeth J. Carter, Jill Fain Lehman:
Learning and Reusing Dialog for Repeated Interactions with a Situated Social Agent. IVA 2017: 192-204 - 2016
- [c24]Yi Luan, Yangfeng Ji, Hannaneh Hajishirzi, Boyang Li:
Multiplicative Representations for Unsupervised Semantic Role Induction. ACL (2) 2016 - [c23]Rogelio Enrique Cardona-Rivera, Boyang Li:
PlotShot: Generating Discourse-Constrained Stories Around Photos. AIIDE 2016: 2-8 - [c22]Iolanda Leite, André Pereira, Allison Funkhouser, Boyang Li, Jill Fain Lehman:
Semi-situated learning of verbal and nonverbal content for repeated human-robot interaction. ICMI 2016: 13-20 - [c21]Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal:
Video Emotion Recognition with Transferred Deep Feature Encodings. ICMR 2016: 15-22 - 2015
- [c20]Boyang Li, Mark O. Riedl:
Scheherazade: Crowd-Powered Interactive Narrative Generation. AAAI 2015: 4305-4306 - [c19]Matthew Guzdial, Brent Harrison, Boyang Li, Mark O. Riedl:
Crowdsourcing Open Interactive Narrative. FDG 2015 - [c18]Boyang Li, Han Yu, Zhiqi Shen, Lizhen Cui, Victor R. Lesser:
An Evolutionary Framework for Multi-agent Organizations. WI-IAT (2) 2015: 35-38 - 2014
- [c17]Boyang Li, Mohini Thakkar, Yijie Wang, Mark O. Riedl:
Storytelling with Adjustable Narrator Styles and Sentiments. ICIDS 2014: 1-12 - [c16]Boyang Li, Mohini Thakkar, Yijie Wang, Mark O. Riedl:
From Data to Storytelling Agents. IVA 2014: 275-278 - 2013
- [c15]Boyang Li, Stephen Lee-Urban, George Johnston, Mark O. Riedl:
Story Generation with Crowdsourced Plot Graphs. AAAI 2013: 598-604 - [c14]Boyang Li, Stephen Lee-Urban, Mark O. Riedl:
Crowdsourcing interactive fiction games. FDG 2013: 431-432 - 2012
- [c13]Boyang Li, Darren Scott Appling, Stephen Lee-Urban, Mark O. Riedl:
Learning Sociocultural Knowledge via Crowdsourced Examples. HCOMP@AAAI 2012 - [c12]Boyang Li, Alexander Zook, Nicholas M. Davis, Mark O. Riedl:
Goal-Driven Conceptual Blending: A Computational Approach for Creativity. ICCC 2012: 9-16 - [c11]Boyang Li, Stephen Lee-Urban, Mark O. Riedl:
Toward Autonomous Crowd-Powered Creation of Interactive Narratives. INT@AIIDE 2012 - 2011
- [c10]Boyang Li, Mark O. Riedl:
A Phone That Cures Your Flu: Generating Imaginary Gadgets in Fictions with Planning and Analogies. Intelligent Narrative Technologies 2011 - [c9]Mark O. Riedl, Boyang Li, Hua Ai, Ashwin Ram:
Robust and Authorable Multiplayer Storytelling Experiences. AIIDE 2011 - [c8]Boyang Li, Mark O. Riedl:
Creative gadget design in fictions: generalized planning in analogical spaces. Creativity & Cognition 2011: 41-50 - [c7]Nicholas M. Davis, Boyang Li, Brian O'Neill, Mark O. Riedl, Michael Nitsche:
Distributed creative cognition in digital filmmaking. Creativity & Cognition 2011: 207-216 - [c6]James Michael Niehaus, Boyang Li, Mark O. Riedl:
Automated Scenario Adaptation in Support of Intelligent Tutoring Systems. FLAIRS 2011 - 2010
- [c5]Boyang Li, Mark O. Riedl:
Creating Customized Game Experiences by Leveraging Human Creative Effort: A Planning Approach. AGS 2010: 99-116 - [c4]Boyang Li, Mark O. Riedl:
An Offline Planning Approach to Game Plotline Adaptation. AIIDE 2010 - 2009
- [c3]Boyang Li, Han Yu, Zhiqi Shen, Chunyan Miao:
Evolutionary organizational search. AAMAS (2) 2009: 1329-1330 - 2008
- [c2]Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh:
Memetic Gradient Search. IEEE Congress on Evolutionary Computation 2008: 2894-2901 - 2007
- [c1]Hock-Beng Lim, Keck Voon Ling, Wenqiang Wang, Yuxia Yao, Mudasser Iqbal, Boyang Li, Xiaonan Yin, Tarun Sharma:
The national weather sensor grid. SenSys 2007: 369-370
Informal and Other Publications
- 2024
- [i48]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR abs/2404.02415 (2024) - [i47]Yubin Xiao, Di Wang, Xuan Wu, Yuesong Wu, Boyang Li, Wei Du, Liupu Wang, You Zhou:
Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture. CoRR abs/2406.06652 (2024) - [i46]Miaoyu Li, Haoxin Li, Zilin Du, Boyang Li:
Rationale-based Ensemble of Multiple QA Strategies for Zero-shot Knowledge-based VQA. CoRR abs/2406.12746 (2024) - [i45]Yidan Sun, Jianfei Yu, Boyang Li:
Multilingual Synopses of Movie Narratives: A Dataset for Story Understanding. CoRR abs/2406.13092 (2024) - [i44]Chaoqun Liu, Qin Chao, Wenxuan Zhang, Xiaobao Wu, Boyang Li, Anh Tuan Luu, Lidong Bing:
Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels. CoRR abs/2409.12425 (2024) - [i43]Xu Guo, Zilin Du, Boyang Li, Chunyan Miao:
Generating Synthetic Datasets for Few-shot Prompt Tuning. CoRR abs/2410.10865 (2024) - [i42]Zilin Du, Haoxin Li, Jianfei Yu, Boyang Li:
Paint Outside the Box: Synthesizing and Selecting Training Data for Visual Grounding. CoRR abs/2412.00684 (2024) - [i41]Jiayun Luo, Mir Rayat Imtiaz Hossain, Boyang Li, Leonid Sigal:
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses. CoRR abs/2412.08110 (2024) - 2023
- [i40]Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui:
History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. CoRR abs/2302.00907 (2023) - [i39]Wenliang Dai, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Junqi Zhao, Weisheng Wang, Boyang Li, Pascale Fung, Steven C. H. Hoi:
InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning. CoRR abs/2305.06500 (2023) - [i38]Zilin Du, Yunxin Li, Xu Guo, Yidan Sun, Boyang Li:
Training Multimedia Event Extraction With Generated Images and Captions. CoRR abs/2306.08966 (2023) - [i37]Yubin Xiao, Di Wang, Huanhuan Chen, Boyang Li, Wei Pang, Xuan Wu, Hao Li, Dong Xu, Yanchun Liang, You Zhou:
Reinforcement Learning-based Non-Autoregressive Solver for Traveling Salesman Problems. CoRR abs/2308.00560 (2023) - [i36]Tong Zhang, X. Jessie Yang, Boyang Li:
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability. CoRR abs/2309.13965 (2023) - [i35]Yidan Sun, Qin Chao, Boyang Li:
Event Causality Is Key to Computational Story Understanding. CoRR abs/2311.09648 (2023) - [i34]Jiayun Luo, Siddhesh Khandelwal, Leonid Sigal, Boyang Li:
Plug-and-Play, Dense-Label-Free Extraction of Open-Vocabulary Semantic Segmentation from Vision-Language Models. CoRR abs/2311.17095 (2023) - [i33]Zilin Du, Haoxin Li, Xu Guo, Boyang Li:
Training on Synthetic Data Beats Real Data in Multimodal Relation Extraction. CoRR abs/2312.03025 (2023) - [i32]Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou:
Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed. CoRR abs/2312.12469 (2023) - 2022
- [i31]Yidan Sun, Qin Chao, Boyang Li:
Synopses of Movie Narratives: a Video-Language Dataset for Story Understanding. CoRR abs/2203.05711 (2022) - [i30]Jun Chen, Ming Hu, Boyang Li, Mohamed Elhoseiny:
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction. CoRR abs/2206.00790 (2022) - [i29]Yinan Zhang, Boyang Li, Yong Liu, You Yuan, Chunyan Miao:
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference. CoRR abs/2206.14468 (2022) - [i28]Xu Guo, Boyang Li, Han Yu:
Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation. CoRR abs/2210.02952 (2022) - [i27]Anthony Meng Huat Tiong, Junnan Li, Boyang Li, Silvio Savarese, Steven C. H. Hoi:
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training. CoRR abs/2210.08773 (2022) - [i26]Jiayun Luo, Boyang Li, Cyril Leung:
A Survey of Computer Vision Technologies In Urban and Controlled-environment Agriculture. CoRR abs/2210.11318 (2022) - [i25]Haoxin Li, Yue Wu, Yuan Liu, Hanwang Zhang, Boyang Li:
Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground. CoRR abs/2211.12883 (2022) - [i24]Bosheng Ding, Chengwei Qin, Linlin Liu, Lidong Bing, Shafiq R. Joty, Boyang Li:
Is GPT-3 a Good Data Annotator? CoRR abs/2212.10450 (2022) - [i23]Jiaxian Guo, Junnan Li, Dongxu Li, Anthony Meng Huat Tiong, Boyang Li, Dacheng Tao, Steven C. H. Hoi:
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models. CoRR abs/2212.10846 (2022) - 2021
- [i22]Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao:
HYDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. CoRR abs/2102.02515 (2021) - [i21]Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. CoRR abs/2102.10407 (2021) - [i20]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-resistant Deep Metric Learning with Ranking-based Instance Selection. CoRR abs/2103.16047 (2021) - [i19]Xu Guo, Boyang Li, Han Yu, Chunyan Miao:
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection. CoRR abs/2104.09261 (2021) - [i18]Yinan Zhang, Boyang Li, Yong Liu, Hao Wang, Chunyan Miao:
Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems. CoRR abs/2106.04993 (2021) - [i17]Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao:
Noise-Resistant Deep Metric Learning with Probabilistic Instance Filtering. CoRR abs/2108.01431 (2021) - [i16]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. CoRR abs/2110.10048 (2021) - 2020
- [i15]Sherif Abdelkarim, Panos Achlioptas, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss. CoRR abs/2004.00436 (2020) - [i14]Yixiao Lan, Yuan Liu, Boyang Li:
Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains. CoRR abs/2007.15145 (2020) - [i13]Jianan Wang, Boyang Li, Xiangyu Fan, Jing Lin, Yanwei Fu:
Data-efficient Alignment of Multimodal Sequences by Aligning Gradient Updates and Internal Feature Distributions. CoRR abs/2011.07517 (2020) - [i12]Xu Guo, Pengwei Xing, Siwei Feng, Boyang Li, Chunyan Miao:
Federated Learning with Diversified Preference for Humor Recognition. CoRR abs/2012.01675 (2020) - 2019
- [i11]Isaac Ahern, Adam Noack, Luis Guzman-Nateras, Dejing Dou, Boyang Li, Jun Huan:
NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks. CoRR abs/1909.04200 (2019) - [i10]Adam Noack, Isaac Ahern, Dejing Dou, Boyang Li:
Does Interpretability of Neural Networks Imply Adversarial Robustness? CoRR abs/1912.03430 (2019) - [i9]Xin Zhou, Dejing Dou, Boyang Li:
Searching for Stage-wise Neural Graphs In the Limit. CoRR abs/1912.12860 (2019) - 2018
- [i8]Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko:
Joint Event Detection and Description in Continuous Video Streams. CoRR abs/1802.10250 (2018) - [i7]Pelin Dogan, Boyang Li, Leonid Sigal, Markus H. Gross:
LSTM stack-based Neural Multi-sequence Alignment TeCHnique (NeuMATCH). CoRR abs/1803.00057 (2018) - [i6]Hannah Kim, Denys Katerenchuk, Daniel Billet, Haesun Park, Boyang Li:
Learning Joint Gaussian Representations for Movies, Actors, and Literary Characters. CoRR abs/1804.04164 (2018) - [i5]Guoyun Tu, Yanwei Fu, Boyang Li, Jiarui Gao, Yu-Gang Jiang, Xiangyang Xue:
A Multi-task Neural Approach for Emotion Attribution, Classification and Summarization. CoRR abs/1812.09041 (2018) - 2017
- [i4]Tong Wang, Ping Chen, Boyang Li:
Predicting the Quality of Short Narratives from Social Media. CoRR abs/1707.02499 (2017) - [i3]Ng Annalyn, Maarten W. Bos, Leonid Sigal, Boyang Li:
Predicting Personality from Book Preferences with User-Generated Content Labels. CoRR abs/1707.06643 (2017) - [i2]Boyang Li, Beth Cardier, Tong Wang, Florian Metze:
Annotating High-Level Structures of Short Stories and Personal Anecdotes. CoRR abs/1710.06917 (2017) - 2015
- [i1]Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Leonid Sigal:
Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization. CoRR abs/1511.04798 (2015)
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
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last updated on 2025-03-13 00:46 CET by the dblp team
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