Yifei Zhang
83 papers · 2018–2026 · 16 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
๐ Conference Polyglot (16) ๐งญ Keyword Pioneer ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (10) ๐ Academic Marathon (7)
๐
Academic Marathon
(7)
๐
Cross-Pollinator
(13)
๐
Renaissance Researcher
(12)
๐
Grand Slam
๐
Keyword Champion
(2)
๐ฅ
Mega-Team
(21)
๐ค
Dynamic Duo
(31)
๐ฌ
Deep Specialist
(16)
๐
Century Club
(78)
๐๏ธ
Keyword Collector
(347)
๐ฅ
Unstoppable
(8)
โ
The Questioner
(2)
โก
Prolific Year
(17)
Conferences
ACL (17)
EMNLP (11)
COLING (9)
CVPR (8)
NIPS (6)
AAAI (5)
ICCV (4)
ICML (4)
IJCNLP (4)
NAACL (4)
IJCAI (3)
ECCV (2)
ICLR (2)
L4DC (2)
AACL (1)
CORL (1)
Top co-authors
Research topics
Keywords
contrastive learning
(7)
dialogue system
(7)
large language model
(6)
reinforcement learning
(5)
graph neural network
(5)
multimodal learning
(5)
self-supervised learning
(5)
dialogue generation
(5)
representation learning
(5)
retrieval-augmented generation
(4)
generative model
(4)
federated learning
(4)
zero-shot learning
(3)
model compression
(3)
knowledge distillation
(3)
diffusion model
(3)
image generation
(3)
knowledge graph
(3)
variational inference
(3)
data augmentation
(3)
Papers
ConSurv: Multimodal Continual Learning for Survival Analysis
AAAI 2026
GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing
ACL 2026
ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation
ACL 2026
Cat-MoD: Accelerating Multimodal Alignment via Caption Token Guided Asymmetric Mixture-of-Depths
ACL 2026
CIRAG: ConstructionโIntegration Retrieval and Adaptive Generation for Multi-hop Question Answering
ACL 2026
Improving Zero-Shot Adversarial Robustness in Vision-Language Models by Closed-form Alignment of Adversarial Path Simplices
ICML 2025
GraphNarrator: Generating Textual Explanations for Graph Neural Networks
ACL 2025
Can MLLMs Understand the Deep Implication Behind Chinese Images?
ACL 2025
Pixel-Level Reasoning Segmentation via Multi-turn Conversations
ACL 2025
MUSE: A Multimodal Conversational Recommendation Dataset with Scenario-Grounded User Profiles
ACL 2025
SemanticCamo: Jailbreaking Large Language Models through Semantic Camouflage
ACL 2025
AnnaAgent: Dynamic Evolution Agent System with Multi-Session Memory for Realistic Seeker Simulation
ACL 2025
TOOL-ED: Enhancing Empathetic Response Generation with the Tool Calling Capability of LLM
COLING 2025
Confront Insider Threat: Precise Anomaly Detection in Behavior Logs Based on LLM Fine-Tuning
COLING 2025
Linguistics-aware Masked Image Modeling for Self-supervised Scene Text Recognition
CVPR 2025
Learning Visual Generative Priors without Text
CVPR 2025
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation
CVPR 2025
BiLoRA: Almost-Orthogonal Parameter Spaces for Continual Learning
CVPR 2025
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
CVPR 2025
Continuous 3D Perception Model with Persistent State
CVPR 2025
From General Reward to Targeted Reward: Improving Open-ended Long-context Generation Models
EMNLP 2025
Language Models as Continuous Self-Evolving Data Engineers
EMNLP 2025
EcoSafeRAG: Efficient Security through Context Analysis in Retrieval-Augmented Generation
EMNLP 2025
ParetoRAG: Leveraging Sentence-Context Attention for Robust and Efficient Retrieval-Augmented Generation
EMNLP 2025
LEGO-Maker: A Semantic-Driven Algorithm for Text-to-3D Generation
ICCV 2025
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
ICCV 2025
Robustifying Zero-Shot Vision Language Models by Subspaces Alignment
ICCV 2025
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
ICLR 2025
NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction
ICML 2025
CoSER: Coordinating LLM-Based Persona Simulation of Established Roles
ICML 2025
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
NAACL 2025
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
NAACL 2025
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
CORL 2024
HiFT: A Hierarchical Full Parameter Fine-Tuning Strategy
EMNLP 2024
FedLFC: Towards Efficient Federated Multilingual Modeling with LoRA-based Language Family Clustering
NAACL 2024
FastMAC: Stochastic Spectral Sampling of Correspondence Graph
CVPR 2024
TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation
COLING 2024
Visual Attention Prompted Prediction and Learning
IJCAI 2024
A Systematic Survey on Federated Semi-supervised Learning
IJCAI 2024
Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning
COLING 2024
EmpCRL: Controllable Empathetic Response Generation via In-Context Commonsense Reasoning and Reinforcement Learning
COLING 2024
BERT-BC: A Unified Alignment and Interaction Model over Hierarchical BERT for Response Selection
COLING 2024
Language-Image Pre-training with Long Captions
ECCV 2024
Exploring Guided Sampling of Conditional GANs
ECCV 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
NIPS 2024
Lipschitz Singularities in Diffusion Models
ICLR 2024
Dual-frame Fluid Motion Estimation with Test-time Optimization and Zero-divergence Loss
NIPS 2024
ELAD: Explanation-Guided Large Language Models Active Distillation
ACL 2024
STICKERCONV: Generating Multimodal Empathetic Responses from Scratch
ACL 2024
Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective
NIPS 2023
Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning
NIPS 2023
Dimensionality-Varying Diffusion Process
CVPR 2023
Sample Complexity Bound for Evaluating the Robust Observerโs Performance under Coprime Factors Uncertainty
L4DC 2023
MAGI: Multi-Annotated Explanation-Guided Learning
ICCV 2023
Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling
AAAI 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
AAAI 2023
Graph Component Contrastive Learning for Concept Relatedness Estimation
AAAI 2023
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
ACL 2023
Few-shot Joint Multimodal Aspect-Sentiment Analysis Based on Generative Multimodal Prompt
ACL 2023
Contrastive Learning with Generated Representations for Inductive Knowledge Graph Embedding
ACL 2023
Customizable Image Synthesis with Multiple Subjects
NIPS 2023
Cones: Concept Neurons in Diffusion Models for Customized Generation
ICML 2023
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
NIPS 2023
KC-ISA: An Implicit Sentiment Analysis Model Combining Knowledge Enhancement and Context Features
COLING 2022
Sample Complexity of the Robust LQG Regulator with Coprime Factors Uncertainty
L4DC 2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
EMNLP 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
IJCNLP 2022
MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation
COLING 2022
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection
EMNLP 2022
An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching
AACL 2022
Learning to Improve Persona Consistency in Multi-party Dialogue Generation via Text Knowledge Enhancement
COLING 2022
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks
ACL 2021
Boundary Detection with BERT for Span-level Emotion Cause Analysis
ACL 2021
Boundary Detection with BERT for Span-level Emotion Cause Analysis
IJCNLP 2021
Multimodal Sentiment Detection Based on Multi-channel Graph Neural Networks
IJCNLP 2021
A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training
AAAI 2021
EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness
IJCAI 2020
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension
EMNLP 2019
Doc2hash: Learning Discrete Latent variables for Documents Retrieval
NAACL 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
IJCNLP 2019
Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation
EMNLP 2019
Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning
EMNLP 2018
A Co-Attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness
EMNLP 2018