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Qiang Zhang

109 papers · 2013–2026 · 16 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 30 separate collaboration groups - the largest holds only 33% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Qiang Zhang?

13 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Huajun Chen, Keyan Ding, Xiang Zhuang 36 papers · 2020–2026 · ACL, NeurIPS, ICML Hide ▲
Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra AAAI 2026 Boosting LLM’s Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning ACL 2025 Constrain Alignment with Sparse Autoencoders ICML 2025 Enhancing Safe and Controllable Protein Generation via Knowledge Preference Optimization ACL 2025 EventRAG: Enhancing LLM Generation with Event Knowledge Graphs ACL 2025 RiOT: Efficient Prompt Refinement with Residual Optimization Tree ACL 2025 SaMer: A Scenario-aware Multi-dimensional Evaluator for Large Language Models ICLR 2025 Sample-Efficient Human Evaluation of Large Language Models via Maximum Discrepancy Competition ACL 2025 UniMatch: Universal Matching from Atom to Task for Few-Shot Drug Discovery ICLR 2025 DET: A Dual-Encoding Transformer for Relational Graph Embedding COLING 2024 DePLM: Denoising Protein Language Models for Property Optimization NeurIPS 2024 Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning EMNLP 2024 Enhancing Cross Text-Molecule Learning by Self-Augmentation ACL 2024 InstructProtein: Aligning Human and Protein Language via Knowledge Instruction ACL 2024 Knowledge-aware Reinforced Language Models for Protein Directed Evolution ICML 2024 MKGL: Mastery of a Three-Word Language NeurIPS 2024 StableMask: Refining Causal Masking in Decoder-only Transformer ICML 2024 A Survey on Asking Clarification Questions Datasets in Conversational Systems ACL 2023 Adaptive Compositional Continual Meta-Learning ICML 2023 GenKIE: Robust Generative Multimodal Document Key Information Extraction EMNLP 2023 Graph Sampling-based Meta-Learning for Molecular Property Prediction IJCAI 2023 Learning Invariant Molecular Representation in Latent Discrete Space NeurIPS 2023 Multi-level Protein Structure Pre-training via Prompt Learning ICLR 2023 Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems NeurIPS 2023 Deep Reinforcement Learning for Entity Alignment ACL 2022 Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking ACL 2022 Molecular Contrastive Learning with Chemical Element Knowledge Graph AAAI 2022 Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network AAAI 2022 OntoProtein: Protein Pretraining With Gene Ontology Embedding ICLR 2022 StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts AAAI 2022 Understanding and Improving Knowledge Graph Embedding for Entity Alignment ICML 2022 Structure-Aware Random Fourier Kernel for Graphs NeurIPS 2021 Variational Continual Bayesian Meta-Learning NeurIPS 2021 Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval AAAI 2021 Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets NeurIPS 2020 Self-Attentive Hawkes Process ICML 2020
17 papers whose co-authors appear nowhere else under this name
Fusion in Your Way: Aligning Image Fusion with Heterogeneous Demands via Direct Preference Optimization CVPR 2026 Learning Structurally Stabilized Representations for Lossless DNA Storage AAAI 2026 dutirshlee at SemEval-2026 Task 11: Symbolic Augmentation for Content-Bias-Resistant Syllogistic Reasoning SemEval 2026 DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization ICCV 2025 Diving into Mitigating Hallucinations from a Vision Perspective for Large Vision-Language Models EMNLP 2025 Factor Graph-based Interpretable Neural Networks ICLR 2025 From Slow Bidirectional to Fast Autoregressive Video Diffusion Models CVPR 2025 Knowledge-driven Scientific Large Language Models AAAI 2025 Omni-Perception: Omnidirectional Collision Avoidance of Legged Robots in Dynamic Environments CoRL 2025 SCAT: A Time Series Forecasting with Spectral Central Alternating Transformers IJCAI 2024 Causal Deep Reinforcement Learning Using Observational Data IJCAI 2023 RoboTube: Learning Household Manipulation from Human Videos with Simulated Twin Environments CoRL 2022 Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency ICLR 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 Revenue Maximization Envy-Free Pricing for Homogeneous Resources IJCAI 2015 Truthful Cake Cutting Mechanisms with Externalities: Do Not Make Them Care for Others Too Much! IJCAI 2015

Venues · all papers under this name

CVPR (21) AAAI (17) ACL (14) ICML (11) NeurIPS (10) IJCAI (9) ICLR (8) EMNLP (5) ICCV (5) CoRL (2) RSS (2) ACML (1) COLING (1) ECCV (1) SemEval (1) WACV (1)