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Home/Authors/Liang He

Liang He

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

18

papers

590

total citations

papers (18)

LoGoNet: Towards Accurate 3D Object Detection With Local-to-Global Cross-Modal Fusion

Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models

NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering

Human Simulacra: Benchmarking the Personification of Large Language Models

AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning

BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind

A Hierarchical Network for Multimodal Document-Level Relation Extraction

Disentangled Modeling of Preferences and Social Influence for Group Recommendation

Co-evolution Transformer for Protein Contact Prediction

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios

Lark: Low-Rank Updates After Knowledge Localization for Few-shot Class-Incremental Learning