Qiang Zhang

106 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (15) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12) 🌈 Renaissance Researcher (7) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (21) 🤝 Dynamic Duo (20) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (37) 🔬 Deep Specialist (13) 🏆 Keyword Champion (2) 🔥 Unstoppable (8) 📈 Trend Setter ⚡ Prolific Year (6) 💎 Century Club (97) ❓ The Questioner 🗃️ Keyword Collector (62) 🚀 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

Huajun Chen (21) Keyan Ding (12) Xiang Zhuang (10) Renjing Xu (8) Xin Yang (8) Jungong Han (7) Xiaopeng Wei (6) Zaiqiao Meng (5) Shangsong Liang (5) Ming Qin (5)

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 LLM’s 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

Newton–Cotes 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