Zhang, Yang
155 publications
NeurIPS
2025
Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
AAAI
2025
Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation
CVPR
2025
Bridging the Gap Between Gaussian Diffusion Models and Universal Quantization for Image Compression
CoRL
2025
Contrastive Forward Prediction Reinforcement Learning for Adaptive Fault-Tolerant Legged Robots
NeurIPS
2025
DiffLiG: Diffusion-Enhanced Liquid Graph with Attention Propagation for Grid-to-Station Precipitation Correction
NeurIPS
2025
EnzyControl: Adding Functional and Substrate-Specific Control for Enzyme Backbone Generation
NeurIPS
2025
IGD: Token Decisiveness Modeling via Information Gain in LLMs for Personalized Recommendation
ICCV
2025
Plug-in Feedback Self-Adaptive Attention in CLIP for Training-Free Open-Vocabulary Segmentation
NeurIPS
2025
ProteinConformers: Benchmark Dataset for Simulating Protein Conformational Landscape Diversity and Plausibility
ICCV
2025
VSP: Diagnosing the Dual Challenges of Perception and Reasoning in Spatial Planning Tasks for MLLMs
NeurIPSW
2024
Bridging the Gap Between Diffusion Models and Universal Quantization for Image Compression
ICML
2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
ECCV
2024
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
ICML
2024
EquiPocket: An E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
WACV
2024
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
NeurIPS
2024
Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
AAAI
2023
Dual Memory Aggregation Network for Event-Based Object Detection with Learnable Representation
NeurIPS
2021
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found Within Randomly Initialized Networks
NeurIPS
2021
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
ICLR
2020
Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments
ICLR
2019
CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild
ICML
2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-Based Visualizations