Jinhe Bi
7 papers · 2025–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(18)
⭐
Rising Star
(7)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI · Artificial Intelligence
(6)
Machine Learning
(3)
Application Areas
(3)
Deep Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Core AI · Computer Vision
(1)
Generation
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Techniques
(1)
Keywords
multimodal large language model
(2)
federated learning
(2)
domain adaptation
(1)
question answering
(1)
visual representation
(1)
machine unlearning
(1)
linear transformation
(1)
data heterogeneity
(1)
adversarial perturbation
(1)
parameter-efficient fine-tuning
(1)
modality imbalance
(1)
visual instruction tuning
(1)
right to be forgotten
(1)
parameter aggregation
(1)
retrieval-augmented generation
(1)
multi-turn dialogue
(1)
latent diffusion model
(1)
communication topology
(1)
cross-modal attention
(1)
external memory
(1)
Papers
ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM
AAAI 2026
AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models
AAAI 2026
DAWN: Distributed LLM Multi-Agent Workflow Synthesis
AAAI 2026
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
ACL 2026
PsyPARSE: Retrieval-Augmented Slow Thinking for Personalized Empathetic Counseling
AAAI 2026
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
CVPR 2025
LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering
ACL 2025