← Authors

Dit-Yan Yeung

70 papers · 2008–2026 · 13 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (13) πŸ—ΊοΈ Taxonomy Completionist (18) 🌟 Keyword Trendsetter Combo (4) 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ‘₯ Mega-Team (30) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (12) πŸ† Grand Slam ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (14) πŸ’Ž Century Club (69) πŸ—ƒοΈ Keyword Collector (298)

Conferences

NIPS (14) CVPR (9) ICCV (9) ICLR (8) ECCV (6) ACL (5) EMNLP (5) IJCAI (3) WACV (3) AAAI (2) ICML (2) IJCNLP (2) NAACL (2)

Top co-authors

Kai Chen (12) Lanqing Hong (12) Zhenguo Li (11) Hang Xu (9) Naiyan Wang (8) Xingjian SHI (6) Hao Wang (5) Yangqiu Song (5) Nedjma Ousidhoum (5) Zhili Liu (5)

Keywords

large language model (6) self-supervised learning (4) precipitation nowcasting (4) visual tracking (4) multimodal learning (3) feature extraction (3) bayesian inference (3) benchmark evaluation (3) vision-language model (3) hate speech detection (3) diffusion model (3) deep learning (3) convolutional neural network (3) toxicity detection (2) feature learning (2) autonomous driving (2) data augmentation (2) representation learning (2) point cloud (2) dimensionality reduction (2)

Papers

CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback AAAI 2026
DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models EMNLP 2025
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4o AAAI 2025
Anyattack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models CVPR 2025
Fast and Slow Streams for Online Time Series Forecasting Without Information Leakage ICLR 2025
Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases WACV 2025
Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models ACL 2025
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025
Understanding LLMs’ Fluid Intelligence Deficiency: An Analysis of the ARC Task NAACL 2025
TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models WACV 2025
The Stochastic Parrot on LLM’s Shoulder: A Summative Assessment of Physical Concept Understanding NAACL 2025
MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024
Implicit Concept Removal of Diffusion Models ECCV 2024
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024
Gaussian Shell Maps for Efficient 3D Human Generation CVPR 2024
"Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024
RoboDreamer: Learning Compositional World Models for Robot Imagination ICML 2024
Selection-p: Self-Supervised Task-Agnostic Prompt Compression for Faithfulness and Transferability EMNLP 2024
Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ICLR 2024
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting NIPS 2024
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection ECCV 2024
JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation ECCV 2024
GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024
Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023
Detection Recovery in Online Multi-Object Tracking With Sparse Graph Tracker WACV 2023
Adaptive Online Replanning with Diffusion Models NIPS 2023
SongRewriter: A Chinese Song Rewriting System with Controllable Content and Rhyme Scheme ACL 2023
Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture ACL 2023
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution CVPR 2023
CLIP2: Contrastive Language-Image-Point Pretraining From Real-World Point Cloud Data CVPR 2023
Towards General Error Diagnosis via Behavioral Testing in Machine Translation EMNLP 2023
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation ICLR 2023
SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation ICCV 2023
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022
Earthformer: Exploring Space-Time Transformers for Earth System Forecasting NIPS 2022
AdaAug: Learning Class- and Instance-adaptive Data Augmentation Policies ICLR 2022
Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator NIPS 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022
3D-Aware Indoor Scene Synthesis with Depth Priors ECCV 2022
Probing Toxic Content in Large Pre-Trained Language Models ACL 2021
Probing Toxic Content in Large Pre-Trained Language Models IJCNLP 2021
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space ICLR 2021
MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets EMNLP 2020
Multilingual and Multi-Aspect Hate Speech Analysis EMNLP 2019
MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING ICLR 2019
Multilingual and Multi-Aspect Hate Speech Analysis IJCNLP 2019
Learning Unmanned Aerial Vehicle Control for Autonomous Target Following IJCAI 2018
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection ICCV 2017
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model NIPS 2017
Lattice Long Short-Term Memory for Human Action Recognition ICCV 2017
Spatiotemporal Modeling for Crowd Counting in Videos ICCV 2017
Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NIPS 2016
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016
Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting NIPS 2015
Understanding and Diagnosing Visual Tracking Systems ICCV 2015
Human Action Recognition Using Factorized Spatio-Temporal Convolutional Networks ICCV 2015
DevNet: A Deep Event Network for Multimedia Event Detection and Evidence Recounting CVPR 2015
Ensemble-Based Tracking: Aggregating Crowdsourced Structured Time Series Data ICML 2014
Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013
Learning High-Order Task Relationships in Multi-Task Learning IJCAI 2013
SCMF: Sparse Covariance Matrix Factorization for Collaborative Filtering IJCAI 2013
Learning a Deep Compact Image Representation for Visual Tracking NIPS 2013
Online Robust Non-negative Dictionary Learning for Visual Tracking ICCV 2013
Co-Regularized Hashing for Multimodal Data NIPS 2012
Worst-Case Linear Discriminant Analysis NIPS 2010
Probabilistic Multi-Task Feature Selection NIPS 2010
Probabilistic Relational PCA NIPS 2009
Posterior Consistency of the Silverman g-prior in Bayesian Model Choice NIPS 2008