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Haoran Zhang

38 papers · 2017–2026 · 17 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (161) ⚑ Prolific Year (15) πŸš€ Conference Pioneer πŸ’Ž Century Club (37) πŸ”₯ Unstoppable (6) ❓ The Questioner

Conferences

NIPS (7) AAAI (5) ICML (4) ACL (3) ICLR (3) COLING (2) EMNLP (2) ICCV (2) OSDI (2) UAI (1) NSDI (1) NAACL (1) MLHC (1) MICCAI (1) JMLR (1) INTERSPEECH (1) EACL (1)

Research topics

Papers

Spatio-Temporal Hierarchical Causal Models AAAI 2026 Task-Decoupled Bezier Surface Constraint for Uneven Low-Light Image Enhancement ICCV 2025 SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition AAAI 2025 Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning ICCV 2025 KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks ICLR 2025 LEMoN: Label Error Detection using Multimodal Neighbors ICML 2025 Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication UAI 2025 IaC-Eval: A Code Generation Benchmark for Cloud Infrastructure-as-Code Programs NIPS 2024 MuCache: A General Framework for Caching in Microservice Graphs NSDI 2024 SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval ACL 2024 Enhancing Knowledge Selection via Multi-level Document Semantic Graph COLING 2024 Tokenization Is More Than Compression EMNLP 2024 Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation ICLR 2024 iTransformer: Inverted Transformers Are Effective for Time Series Forecasting ICLR 2024 Beaver: Practical Partial Snapshots for Distributed Cloud Services OSDI 2024 Timer: Generative Pre-trained Transformers Are Large Time Series Models ICML 2024 Curriculum Prompting Foundation Models for Medical Image Segmentation MICCAI 2024 DOSSIER: Fact Checking in Electronic Health Records while Preserving Patient Privacy MLHC 2024 TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables NIPS 2024 From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS NIPS 2024 A Closer Look at AUROC and AUPRC under Class Imbalance NIPS 2024 BendVLM: Test-Time Debiasing of Vision-Language Embeddings NIPS 2024 Change is Hard: A Closer Look at Subpopulation Shift ICML 2023 "Why did the Model Fail?": Attributing Model Performance Changes to Distribution Shifts ICML 2023 SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling NIPS 2023 Target Confusion in End-to-end Speaker Extraction: Analysis and Approaches INTERSPEECH 2022 Unfolding-Model-Based Visualization: Theory, Method and Applications JMLR 2021 Social-DPF: Socially Acceptable Distribution Prediction of Futures AAAI 2021 Essay Quality Signals as Weak Supervision for Source-based Essay Scoring EACL 2021 Learning Optimal Predictive Checklists NIPS 2021 Incorporating Inner-word and Out-word Features for Mongolian Morphological Segmentation COLING 2020 CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning AAAI 2020 Fault-tolerant and transactional stateful serverless workflows OSDI 2020 Active Learning Approaches to Enhancing Neural Machine Translation EMNLP 2020 Multimodal Interaction-Aware Trajectory Prediction in Crowded Space AAAI 2020 Automated Topical Component Extraction Using Neural Network Attention Scores from Source-based Essay Scoring ACL 2020 Co-Attention Based Neural Network for Source-Dependent Essay Scoring NAACL 2018 Word Embedding for Response-To-Text Assessment of Evidence ACL 2017