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Qiang Zhang

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

Achievements

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+16 more ↓ πŸ—ΊοΈ Taxonomy Completionist (21) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (7) 🌍 Conference Polyglot (15)
🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (21) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (37) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion (2) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter ⚑ Prolific Year (6) πŸ’Ž Century Club (97) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (62) πŸš€ 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)

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