Chen Huang
51 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
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Keyword Collector
(197)
Conferences
ACL (13)
EMNLP (9)
ICML (6)
CVPR (5)
ICCV (4)
AAAI (3)
ICLR (3)
NIPS (3)
ECCV (2)
COLING (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(10)
representation learning
(4)
metric learning
(4)
transfer learning
(4)
reinforcement learning
(3)
image retrieval
(3)
self-supervised learning
(3)
conversational agent
(2)
autonomous agent
(2)
masked autoencoder
(2)
active learning
(2)
zero-shot learning
(2)
k-nearest neighbor
(2)
few-shot learning
(2)
convolutional neural network
(2)
benchmark evaluation
(2)
domain adaptation
(2)
image classification
(2)
unsupervised learning
(2)
reward model
(2)
Papers
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
ACL 2026
METRO: Towards Strategy Induction from Expert Dialogue Transcripts for Non-collaborative Dialogues
ACL 2026
METER: Evaluating Multi-Level Contextual Causal Reasoning in Large Language Models
ACL 2026
E2EDev: Benchmarking Large Language Models in End-to-End Software Development Task
ACL 2026
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting
ICML 2025
LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets
AAAI 2025
GraphOTTER: Evolving LLM-based Graph Reasoning for Complex Table Question Answering
COLING 2025
CANDY: Benchmarking LLMsβ Limitations and Assistive Potential in Chinese Misinformation Fact-Checking
EMNLP 2025
Through the Valley: Path to Effective Long CoT Training for Small Language Models
EMNLP 2025
CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation
AAAI 2025
ELABORATION: A Comprehensive Benchmark on Human-LLM Competitive Programming
ACL 2025
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond
ACL 2025
Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts
ACL 2025
Can Large Language Models Understand Internet Buzzwords Through User-Generated Content
ACL 2025
ASTRO: Automatic Strategy Optimization For Non-Cooperative Dialogues
ACL 2025
Breaking the Stigma! Unobtrusively Probe Symptoms in Depression Disorder Diagnosis Dialogue
NAACL 2025
Cavia: Camera-controllable Multi-view Video Diffusion with View-Integrated Attention
ICML 2025
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations
EMNLP 2024
Towards Equipping Transformer with the Ability of Systematic Compositionality
AAAI 2024
ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation
ACL 2024
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models
ACL 2024
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents
ACL 2024
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
ICLR 2024
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP
NIPS 2024
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks
NIPS 2024
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures
ICLR 2024
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation
EMNLP 2024
Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
EMNLP 2024
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization
EMNLP 2024
Towards Effective Automatic Debt Collection with Persona Awareness
EMNLP 2023
TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning
EMNLP 2023
Reduce Human Labor On Evaluating Conversational Information Retrieval System: A Human-Machine Collaboration Approach
EMNLP 2023
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
ICLR 2023
DUET: 2D Structured and Approximately Equivariant Representations
ICML 2023
Open-Vocabulary DETR with Conditional Matching
ECCV 2022
Efficient Representation Learning via Adaptive Context Pooling
ICML 2022
An Empirical Study of Language Model Integration for Transducer based Speech Recognition
INTERSPEECH 2022
Position Prediction as an Effective Pretraining Strategy
ICML 2022
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics
CVPR 2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
ICCV 2021
Neural-DINF: A Neural Network based Framework for Measuring Document Influence
ACL 2020
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
ICML 2019
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection
CVPR 2019
Dense Intrinsic Appearance Flow for Human Pose Transfer
CVPR 2019
Pose Guided Human Video Generation
ECCV 2018
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
ICCV 2017
Learning Policies for Adaptive Tracking With Deep Feature Cascades
ICCV 2017
Learning to Disambiguate by Asking Discriminative Questions
ICCV 2017
Learning Deep Representation for Imbalanced Classification
CVPR 2016
Local Similarity-Aware Deep Feature Embedding
NIPS 2016
Unsupervised Learning of Discriminative Attributes and Visual Representations
CVPR 2016