Qiang Zhang
106 papers · 2013–2026 · 15 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (21) π§ Keyword Pioneer π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (15)
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Interdisciplinary Bridge
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Dynamic Duo
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Triple Crown
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Grand Slam
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Mega-Team
(37)
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Deep Specialist
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Unstoppable
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Prolific Year
(6)
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Century Club
(97)
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The Questioner
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Conference Pioneer
Conferences
CVPR (19)
AAAI (17)
ACL (14)
ICML (11)
NIPS (10)
IJCAI (9)
ICLR (8)
EMNLP (5)
ICCV (5)
CORL (2)
RSS (2)
ACML (1)
COLING (1)
ECCV (1)
WACV (1)
Top co-authors
Keywords
graph neural network
(9)
knowledge graph
(8)
reinforcement learning
(8)
representation learning
(6)
large language model
(6)
knowledge distillation
(6)
semantic segmentation
(5)
convolutional neural network
(5)
diffusion model
(5)
spiking neural network
(5)
attention mechanism
(5)
multi-modal learning
(4)
vision-language model
(4)
dialogue system
(4)
contrastive learning
(4)
multimodal learning
(4)
object detection
(3)
video generation
(3)
object tracking
(3)
energy efficiency
(3)
Papers
SABER: Switchable and Balanced Training for Efficient LLM Reasoning
AAAI 2026
Dynamic Geometric Equivariant Network for Full-Atom Antibody Design
AAAI 2026
Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction
AAAI 2026
Tracking and Segmenting Anything in Any Modality
AAAI 2026
What You See Is What You Reach: Towards Spatial Navigation with High-Level Human Instructions
AAAI 2026
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
AAAI 2026
Training-Free Multi-Character Audio-Driven Animation via Diffusion Transformer with Reward Feedback
AAAI 2026
Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra
AAAI 2026
Learning Structurally Stabilized Representations for Lossless DNA Storage
AAAI 2026
HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection
AAAI 2025
UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery
ICLR 2025
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning
ICML 2025
Divide and Conquer: Exploring Language-centric Tree Reasoning for Video Question-Answering
ICML 2025
Playmate: Flexible Control of Portrait Animation via 3D-Implicit Space Guided Diffusion
ICML 2025
Simple Policy Optimization
ICML 2025
Omni-Perception: Omnidirectional Collision Avoidance of Legged Robots in Dynamic Environments
CORL 2025
Factor Graph-based Interpretable Neural Networks
ICLR 2025
Knowledge-driven Scientific Large Language Models
AAAI 2025
Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition
ACL 2025
Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization
ACL 2025
MapNav: A Novel Memory Representation via Annotated Semantic Maps for VLM-based Vision-and-Language Navigation
ACL 2025
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
ACL 2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree
ACL 2025
Boosting LLMβs Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning
ACL 2025
RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation
RSS 2025
Preference-based Deep Reinforcement Learning for Historical Route Estimation
IJCAI 2025
EFormer: An Effective Edge-based Transformer for Vehicle Routing Problems
IJCAI 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
Hierarchical Knowledge Prompt Tuning for Multi-task Test-Time Adaptation
CVPR 2025
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models
CVPR 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
CVPR 2025
Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
CVPR 2025
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis
CVPR 2025
RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation
EMNLP 2025
Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models
EMNLP 2025
What Makes for Text to 360-degree Panorama Generation with Stable Diffusion?
ICCV 2025
DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization
ICCV 2025
Learning Null Geodesics for Gravitational Lensing Rendering in General Relativity
ICCV 2025
Constrain Alignment with Sparse Autoencoders
ICML 2025
MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec Transformer
ICLR 2025
SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models
ICLR 2025
Spiking Denoising Diffusion Probabilistic Models
WACV 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Exploiting Polarized Material Cues for Robust Car Detection
AAAI 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering
NIPS 2024
Spiking Neural Network as Adaptive Event Stream Slicer
NIPS 2024
InstructProtein: Aligning Human and Protein Language via Knowledge Instruction
ACL 2024
Overcoming Catastrophic Forgetting by Exemplar Selection in Task-oriented Dialogue System
ACL 2024
Enhancing Cross Text-Molecule Learning by Self-Augmentation
ACL 2024
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
EMNLP 2024
Revisiting motion information for RGB-Event tracking with MOT philosophy
NIPS 2024
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
ICLR 2024
DET: A Dual-Encoding Transformer for Relational Graph Embedding
COLING 2024
StableMask: Refining Causal Masking in Decoder-only Transformer
ICML 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
ICML 2024
MKGL: Mastery of a Three-Word Language
NIPS 2024
SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers
IJCAI 2024
Natural Language-centered Inference Network for Multi-modal Fake News Detection
IJCAI 2024
Mind the Gap Between Conversations for Improved Long-Term Dialogue Generation
EMNLP 2023
GenKIE: Robust Generative Multimodal Document Key Information Extraction
EMNLP 2023
Causal Deep Reinforcement Learning Using Observational Data
IJCAI 2023
Masked Spiking Transformer
ICCV 2023
Adaptive Compositional Continual Meta-Learning
ICML 2023
Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning
AAAI 2023
NewtonβCotes Graph Neural Networks: On the Time Evolution of Dynamic Systems
NIPS 2023
Exploring Structured Semantic Prior for Multi Label Recognition With Incomplete Labels
CVPR 2023
Efficient RGB-T Tracking via Cross-Modality Distillation
CVPR 2023
Learning Invariant Molecular Representation in Latent Discrete Space
NIPS 2023
Graph Sampling-based Meta-Learning for Molecular Property Prediction
IJCAI 2023
Multi-level Protein Structure Pre-training via Prompt Learning
ICLR 2023
A Survey on Asking Clarification Questions Datasets in Conversational Systems
ACL 2023
Ask an Expert: Leveraging Language Models to Improve Strategic Reasoning in Goal-Oriented Dialogue Models
ACL 2023
Molecular Contrastive Learning with Chemical Element Knowledge Graph
AAAI 2022
RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments
CORL 2022
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network
AAAI 2022
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
AAAI 2022
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
ACL 2022
Deep Reinforcement Learning for Entity Alignment
ACL 2022
Rethinking Offensive Text Detection as a Multi-Hop Reasoning Problem
ACL 2022
FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification
CVPR 2022
OntoProtein: Protein Pretraining With Gene Ontology Embedding
ICLR 2022
Understanding and Improving Knowledge Graph Embedding for Entity Alignment
ICML 2022
A New Perspective on the Effects of Spectrum in Graph Neural Networks
ICML 2022
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
ICLR 2021
ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation
CVPR 2021
Structure-Aware Random Fourier Kernel for Graphs
NIPS 2021
Variational Continual Bayesian Meta-Learning
NIPS 2021
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
AAAI 2021
Depth-Aware Mirror Segmentation
CVPR 2021
Concept2Robot: Learning Manipulation Concepts from Instructions and Human Demonstrations
RSS 2020
Testing the Safety of Self-driving Vehicles by Simulating Perception and Prediction
ECCV 2020
Attention-Guided Hierarchical Structure Aggregation for Image Matting
CVPR 2020
Don't Hit Me! Glass Detection in Real-World Scenes
CVPR 2020
Self-Attentive Hawkes Process
ICML 2020
Efficient Attention Calibration Network for Real-Time Semantic Segmentation
ACML 2020
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
NIPS 2020
Spatial Attentive Single-Image Deraining With a High Quality Real Rain Dataset
CVPR 2019
Learning Context Graph for Person Search
CVPR 2019
Employing Deep Part-Object Relationships for Salient Object Detection
ICCV 2019
Modeling Point Clouds With Self-Attention and Gumbel Subset Sampling
CVPR 2019
Active Object Reconstruction Using a Guided View Planner
IJCAI 2018
Image Correction via Deep Reciprocating HDR Transformation
CVPR 2018
Truthful Cake Cutting Mechanisms with Externalities: Do Not Make Them Care for Others Too Much!
IJCAI 2015
Revenue Maximization Envy-Free Pricing for Homogeneous Resources
IJCAI 2015
Predicting Multiple Attributes via Relative Multi-task Learning
CVPR 2014
Relative Hidden Markov Models for Evaluating Motion Skill
CVPR 2013