Feng Zhang
51 papers · 2019–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (13)
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Conference Polyglot
(13)
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Academic Marathon
(6)
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Cross-Pollinator
(11)
π€
Dynamic Duo
(11)
π§¬
Topic Evolution
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Keyword Champion
(2)
ποΈ
Keyword Collector
(230)
π₯
Unstoppable
(7)
π
Century Club
(46)
β‘
Prolific Year
(13)
π
Conference Pioneer
Conferences
ACL (13)
AAAI (9)
NIPS (6)
EMNLP (5)
CVPR (4)
IJCNLP (4)
ICCV (2)
IJCAI (2)
NAACL (2)
COLING (1)
ECCV (1)
INTERSPEECH (1)
OSDI (1)
Top co-authors
Keywords
few-shot learning
(8)
contrastive learning
(6)
multi-label classification
(4)
intent detection
(4)
text classification
(4)
large language model
(4)
named entity recognition
(3)
human pose estimation
(3)
efficient computing
(2)
multi-modal learning
(2)
computational efficiency
(2)
masked language model
(2)
semantic representation
(2)
dynamic routing
(2)
image captioning
(2)
model compression
(2)
attention mechanism
(2)
zero-shot learning
(2)
image restoration
(2)
prototype learning
(2)
Papers
IceBreaker for Conversational Agents: Breaking the First-Message Barrier with Personalized Starters
ACL 2026
Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models
ACL 2026
DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
AAAI 2026
Vision-language Incremental Learning with Dual Class-individual Memory
AAAI 2026
STAPO: Selective Trajectory-Aware Policy Optimization for LLM Agent Training
ACL 2026
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection
ACL 2025
SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification
NAACL 2025
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
AAAI 2025
Robust Low-light Scene Restoration via Illumination Transition
ICCV 2025
Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow
EMNLP 2025
Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback
COLING 2025
StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation
ACL 2024
UQ-Guided Hyperparameter Optimization for Iterative Learners
NIPS 2024
Sim2Real-Fire: A Multi-modal Simulation Dataset for Forecast and Backtracking of Real-world Forest Fire
NIPS 2024
PLIP: Language-Image Pre-training for Person Representation Learning
NIPS 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing
AAAI 2024
Depression Detection via Capsule Networks with Contrastive Learning
AAAI 2024
SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification
ACL 2024
From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning
ACL 2024
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
CVPR 2024
Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling
CVPR 2024
Event-Based Motion Magnification
ECCV 2024
Xinference: Making Large Model Serving Easy
EMNLP 2024
A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection
EMNLP 2024
Towards General Low-Light Raw Noise Synthesis and Modeling
ICCV 2023
Type Enhanced BERT for Correcting NER Errors
ACL 2023
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection
ACL 2023
Boosting Few-Shot Text Classification via Distribution Estimation
AAAI 2023
Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
NIPS 2023
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text
NIPS 2023
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack
AAAI 2023
Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection
INTERSPEECH 2023
TREC: Transient Redundancy Elimination-based Convolution
NIPS 2022
Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation
IJCAI 2022
Hubble: Performance Debugging with In-Production, Just-In-Time Method Tracing on Android
OSDI 2022
TexSmart: A System for Enhanced Natural Language Understanding
ACL 2021
Efficient Deep Image Denoising via Class Specific Convolution
AAAI 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling
EMNLP 2021
KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships
EMNLP 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification
ACL 2021
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction
ACL 2021
PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction
IJCNLP 2021
Concept-Based Label Embedding via Dynamic Routing for Hierarchical Text Classification
IJCNLP 2021
TexSmart: A System for Enhanced Natural Language Understanding
IJCNLP 2021
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
IJCNLP 2021
UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction
ACL 2021
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
IJCAI 2020
Distribution-Aware Coordinate Representation for Human Pose Estimation
CVPR 2020
Hierarchical Photo-Scene Encoder for Album Storytelling
AAAI 2019
Fast Human Pose Estimation
CVPR 2019
Event Detection without Triggers
NAACL 2019