Tianlong Chen

19

Papers

92

Total Citations

Papers (19)

DLF: Disentangled-Language-Focused Multimodal Sentiment Analysis

Facial Affective Behavior Analysis with Instruction Tuning

Graph Sparsification via Mixture of Graphs

Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints

PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches

Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models

BrainMAP: Learning Multiple Activation Pathways in Brain Networks

Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective

TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion Models

Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision

Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing

$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts

Evolution-Inspired Loss Functions for Protein Representation Learning

Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness

Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study

Position: TrustLLM: Trustworthiness in Large Language Models

Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach