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Hao Zhang

323 papers · 2004–2026 · 23 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 65 separate collaboration groups - the largest holds only 41% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Hao Zhang?

24 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 Jihong Guan, Shuigeng Zhou, Quanshi Zhang 24 papers · 2019–2026 · AAAI, ICML, ICLR Hide ▲
BiomedCCPL: Causal Conditional Prompt Learning for Biomedical Vision-Language Models CVPR 2026 Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation AAAI 2026 Data-Driven Selection of Instrumental Variables for Additive Nonlinear, Constant Effects Models ICML 2025 Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025 Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise IJCAI 2025 Knowledge-Enhanced Complementary Information Fusion with Temporal Heterogeneous Graph Learning for Disease Prediction MICCAI 2025 Local Identifying Causal Relations in the Presence of Latent Variables ICML 2025 SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization ICML 2025 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NeurIPS 2024 Explaining Generalization Power of a DNN Using Interactive Concepts AAAI 2024 Learning Adaptive Kernels for Statistical Independence Tests AISTATS 2024 Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance AAAI 2023 DISCOVERING AND EXPLAINING THE REPRESENTATION BOTTLENECK OF DNNS ICLR 2022 Quantification and Analysis of Layer-wise and Pixel-wise Information Discarding ICML 2022 Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery AAAI 2022 Building Interpretable Interaction Trees for Deep NLP Models AAAI 2021 Interpreting Attributions and Interactions of Adversarial Attacks ICCV 2021 Interpreting Multivariate Shapley Interactions in DNNs AAAI 2021 Interpreting and Boosting Dropout from a Game-Theoretic View ICLR 2021 Testing Independence Between Linear Combinations for Causal Discovery AAAI 2021 Interpretable Complex-Valued Neural Networks for Privacy Protection ICLR 2020 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019
41 papers whose co-authors appear nowhere else under this name
DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text Detection ACL 2026 PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference ACL 2026 Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot AAAI 2026 Tiny Scales, Great Challenges: The Limits of Multimodal LLMs in Scale Recognition ACL 2026 YNU-NLP at SemEval-2026 Task 11: A Neuro-Symbolic Approach with Reflexion Mechanism Disentangling Content and Formal Reasoning in Language Models SemEval 2026 FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes CVPR 2025 HeightMapNet: Explicit Height Modeling for End-to-End HD Map Learning WACV 2025 Long-form Hallucination Detection with Self-elicitation ACL 2025 Multi-view Graph Contrastive Learning with Dynamic Self-aware and Cross-sample Topology Augmentation for Brain Disorder Diagnosis MICCAI 2025 Multiscale Graph and Multi-Step Cross-Frame Mamba for Myocarditis Lesion Segmentation MICCAI 2025 PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS ICLR 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 Reversal of Thought: Enhancing Large Language Models with Preference-Guided Reverse Reasoning Warm-up ACL 2025 Scalable Trajectory-User Linking with Dual-Stream Representation Networks AAAI 2025 Sensitivity-LoRA : Low-Load Sensitivity-Based Fine-Tuning for Large Language Models EMNLP 2025 SolEval: Benchmarking Large Language Models for Repository-level Solidity Smart Contract Generation EMNLP 2025 Sugar-Coated Poison: Benign Generation Unlocks Jailbreaking EMNLP 2025 Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems IJCAI 2025 An Instruction Tuning-Based Contrastive Learning Framework for Aspect Sentiment Quad Prediction with Implicit Aspects and Opinions EMNLP 2024 EpiGEN: An Efficient Multi-Api Code GENeration Framework under Enterprise Scenario COLING 2024 Hierarchical multiple instance learning for COPD grading with relatively specific similarity MICCAI 2024 InferCept: Efficient Intercept Support for Augmented Large Language Model Inference ICML 2024 Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length NeurIPS 2024 Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model NeurIPS 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024 ETR: An Efficient Transformer for Re-Ranking in Visual Place Recognition WACV 2023 FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models NeurIPS 2023 GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis NeurIPS 2022 Hybrid Neural Networks for On-Device Directional Hearing AAAI 2022 Language Model Decomposition: Quantifying the Dependency and Correlation of Language Models EMNLP 2022 3D-FRONT: 3D Furnished Rooms With layOuts and semaNTics ICCV 2021 A Hybrid Seq-2-Seq ASR Design for On-Device and Server Applications Interspeech 2021 Appearance-Motion Memory Consistency Network for Video Anomaly Detection AAAI 2021 PhotoChat: A Human-Human Dialogue Dataset With Photo Sharing Behavior For Joint Image-Text Modeling ACL 2021 Mastering Complex Control in MOBA Games with Deep Reinforcement Learning AAAI 2020 Speeding up Very Fast Decision Tree with Low Computational Cost IJCAI 2020 Improving Performance of End-to-End ASR on Numeric Sequences Interspeech 2019 Multiple Noisy Label Distribution Propagation for Crowdsourcing IJCAI 2019 Cross-Corpora Convolutional Deep Neural Network Dereverberation Preprocessing for Speaker Verification and Speech Enhancement Interspeech 2018 On the Reducibility of Submodular Functions AISTATS 2016 Sparse Dictionary Learning for Edit Propagation of High-Resolution Images CVPR 2014