Feng Zhang

48 papers · 2019–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (11) 🤝 Dynamic Duo (11) 🧬 Topic Evolution 🏆 Keyword Champion (2) 🗃️ Keyword Collector (230) 🔥 Unstoppable (7) 💎 Century Club (46) ⚡ Prolific Year (13) 🚀 Conference Pioneer

Conferences

ACL (10) 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

Han Liu (11) Xiaotong Zhang (10) Hong Yu (8) Fenglong Ma (7) Tao Yang (7) Di Wang (6) Hongyang Chen (6) Xianchao Zhang (6) Tao Chen (6) Nong Sang (5)

Keywords

few-shot learning (8) contrastive learning (6) multi-label classification (4) intent detection (4) text classification (4) human pose estimation (3) named entity recognition (3) large language model (3) efficient computing (2) dynamic routing (2) computational efficiency (2) semantic representation (2) image restoration (2) zero-shot learning (2) hierarchical text classification (2) image captioning (2) attention mechanism (2) model compression (2) prototype learning (2) masked language model (2)

Papers

DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting AAAI 2026

Vision-language Incremental Learning with Dual Class-individual Memory AAAI 2026

Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback COLING 2025

Mitigating Hallucination in Large Vision-Language Models through Aligning Attention Distribution to Information Flow EMNLP 2025

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

Xinference: Making Large Model Serving Easy EMNLP 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

StructEval: Deepen and Broaden Large Language Model Assessment via Structured Evaluation ACL 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

A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection EMNLP 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

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text NIPS 2023

Transductive Feature Space Regularization for Few-shot Bioacoustic Event Detection INTERSPEECH 2023

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack AAAI 2023

Towards General Low-Light Raw Noise Synthesis and Modeling ICCV 2023

Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection ACL 2023

Type Enhanced BERT for Correcting NER Errors 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

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

An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling EMNLP 2021

TexSmart: A System for Enhanced Natural Language Understanding IJCNLP 2021

UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction IJCNLP 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

KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships EMNLP 2021

UniKeyphrase: A Unified Extraction and Generation Framework for Keyphrase Prediction ACL 2021

TexSmart: A System for Enhanced Natural Language Understanding ACL 2021

Efficient Deep Image Denoising via Class Specific Convolution AAAI 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

Distribution-Aware Coordinate Representation for Human Pose Estimation CVPR 2020

PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction IJCAI 2020

Fast Human Pose Estimation CVPR 2019

Hierarchical Photo-Scene Encoder for Album Storytelling AAAI 2019

Event Detection without Triggers NAACL 2019