Bo Pang
74 papers · 2002–2025 · 18 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (18)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Academic Marathon
(23)
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Keyword Trendsetter Combo
(3)
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Grand Slam
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Triple Crown
π€
Dynamic Duo
(15)
π₯
Mega-Team
(43)
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Deep Specialist
(10)
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Topic Evolution
β‘
Prolific Year
(9)
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Conference Pioneer
ποΈ
Keyword Collector
(246)
β
The Questioner
(3)
π
Century Club
(74)
π
Trend Setter
π₯
Unstoppable
(8)
Conferences
EMNLP (13)
ACL (10)
CVPR (9)
NAACL (7)
AAAI (4)
ICLR (4)
ICML (4)
CONLL (3)
EACL (3)
ECCV (3)
IJCNLP (3)
NIPS (3)
COLING (2)
IJCAI (2)
WACV (1)
UAI (1)
ICCV (1)
AACL (1)
Top co-authors
Keywords
energy-based model
(8)
transfer learning
(7)
video understanding
(6)
multimodal learning
(5)
latent space
(5)
image captioning
(5)
object detection
(5)
representation learning
(4)
generative model
(4)
variational inference
(4)
action recognition
(4)
text generation
(3)
visual question answering
(3)
video classification
(3)
semantic segmentation
(3)
vision-language model
(3)
large language model
(3)
domain generalization
(3)
reinforcement learning
(2)
transformer architecture
(2)
Papers
Latent Thought Models with Variational Bayes Inference-Time Computation
ICML 2025
Text Detoxification: Data Efficiency, Semantic Preservation and Model Generalization
EMNLP 2025
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
ICLR 2025
GReaTer: Gradients Over Reasoning Makes Smaller Language Models Strong Prompt Optimizers
ICLR 2025
Temporal Consistency Constrained Transferable Adversarial Attacks with Background Mixup for Action Recognition
IJCAI 2025
CABIN: Debiasing Vision-Language Models Using Backdoor Adjustments
IJCAI 2025
On Scaling Up a Multilingual Vision and Language Model
CVPR 2024
ARM: Alignment with Residual Energy-Based Model
NAACL 2024
Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference
NIPS 2024
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
CVPR 2024
SharPT: Shared Latent Space Prompt Tuning
EACL 2023
Unsupervised 3D Point Cloud Representation Learning by Triangle Constrained Contrast for Autonomous Driving
CVPR 2023
Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference
ICML 2023
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
ICLR 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting
UAI 2023
Few-shot Unified Question Answering: Tuning Models or Prompts?
EMNLP 2023
Emergence of Abstract State Representations in Embodied Sequence Modeling
EMNLP 2023
Long Document Summarization with Top-down and Bottom-up Inference
EACL 2023
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning
AAAI 2022
End-to-end Dense Video Captioning as Sequence Generation
COLING 2022
Latent Diffusion Energy-Based Model for Interpretable Text Modelling
ICML 2022
Semantic Segmentation by Early Region Proxy
CVPR 2022
Learning Probabilistic Models from Generator Latent Spaces with Hat EBM
NIPS 2022
MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC
ICLR 2022
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
ECCV 2022
Efficient 3D Video Engine Using Frame Redundancy
WACV 2021
TDAF: Top-Down Attention Framework for Vision Tasks
AAAI 2021
Robust Reinforcement Learning: A Case Study in Linear Quadratic Regulation
AAAI 2021
Robust Transfer Learning with Pretrained Language Models through Adapters
ACL 2021
Understanding Guided Image Captioning Performance across Domains
CONLL 2021
Trajectory Prediction With Latent Belief Energy-Based Model
CVPR 2021
PGT: A Progressive Method for Training Models on Long Videos
CVPR 2021
Generative Text Modeling through Short Run Inference
EACL 2021
Understanding Guided Image Captioning Performance across Domains
EMNLP 2021
Human Pose Regression With Residual Log-Likelihood Estimation
ICCV 2021
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
ICML 2021
Robust Transfer Learning with Pretrained Language Models through Adapters
IJCNLP 2021
SCRIPT: Self-Critic PreTraining of Transformers
NAACL 2021
Multimodal Pretraining for Dense Video Captioning
AACL 2020
TubeTK: Adopting Tubes to Track Multi-Object in a One-Step Training Model
CVPR 2020
Towards Holistic and Automatic Evaluation of Open-Domain Dialogue Generation
ACL 2020
Learning Latent Space Energy-Based Prior Model
NIPS 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model
CVPR 2020
Further Understanding Videos through Adverbs: A New Video Task
AAAI 2020
Asynchronous Interaction Aggregation for Action Detection
ECCV 2020
Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference
ECCV 2020
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube
EMNLP 2020
Deep RNN Framework for Visual Sequential Applications
CVPR 2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
EMNLP 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
EMNLP 2019
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions
CONLL 2019
Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing
ACL 2019
SParC: Cross-Domain Semantic Parsing in Context
ACL 2019
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering
IJCNLP 2019
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases
IJCNLP 2019
Points, Paths, and Playscapes: Large-scale Spatial Language Understanding Tasks Set in the Real World
NAACL 2018
The effect of wording on message propagation: Topic- and author-controlled natural experiments on Twitter
ACL 2014
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
EMNLP 2014
Revisiting the Predictability of Language: Response Completion in Social Media
EMNLP 2012
Spice it up? Mining Refinements to Online Instructions from User Generated Content
ACL 2012
Revisiting the Predictability of Language: Response Completion in Social Media
CONLL 2012
Search in the Lost Sense of βQueryβ: Question Formulation in Web Search Queries and its Temporal Changes
ACL 2011
Personalized Recommendation of User Comments via Factor Models
EMNLP 2011
For the sake of simplicity: Unsupervised extraction of lexical simplifications from Wikipedia
NAACL 2010
Matching Reviews to Objects using a Language Model
EMNLP 2009
For a few dollars less: Identifying review pages sans human labels
NAACL 2009
Using Very Simple Statistics for Review Search: An Exploration
COLING 2008
Introduction to Computational Advertising
ACL 2008
Get out the vote: Determining support or opposition from Congressional floor-debate transcripts
EMNLP 2006
Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Doctoral Consortium
NAACL 2006
Seeing Stars: Exploiting Class Relationships for Sentiment Categorization with Respect to Rating Scales
ACL 2005
A Sentimental Education: Sentiment Analysis Using Subjectivity Summarization Based on Minimum Cuts
ACL 2004
Syntax-based Alignment of Multiple Translations: Extracting Paraphrases and Generating New Sentences
NAACL 2003
Thumbs up? Sentiment Classification using Machine Learning Techniques
EMNLP 2002