← Authors

Yi Chang

95 papers · 2009–2026 · 16 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (16) πŸƒ Academic Marathon (16) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (12) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion ⚑ Prolific Year (6) πŸ—ƒοΈ Keyword Collector (409) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (93)

Conferences

CVPR (17) EMNLP (16) AAAI (14) ACL (8) ICLR (7) IJCAI (6) ICCV (5) ICML (5) AISTATS (4) COLING (3) NIPS (3) INTERSPEECH (2) NAACL (2) AACL (1) ECCV (1) IJCNLP (1)

Top co-authors

Luxin Yan (18) Yuan Wu (9) Yuan Tian (9) Hanyu Zhou (8) Bin Gu (7) Hechang Chen (7) Yue Wang (5) Tingyu Xia (5) He Zhao (5) Erxin Yu (4)

Research topics

Privacy (2)

Keywords

large language model (9) unsupervised learning (5) image restoration (5) language model (5) event camera (4) image deraining (4) motion estimation (4) transfer learning (4) multi-task learning (4) domain adaptation (4) model compression (4) rain removal (4) node classification (3) low-rank adaptation (3) network embedding (3) representation learning (3) contrastive learning (3) named entity recognition (3) attention mechanism (3) optical flow (3)

Papers

Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection AAAI 2026
Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection AAAI 2026
Bridge Frame and Event: Common Spatiotemporal Fusion for High-Dynamic Scene Optical Flow CVPR 2025
OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras CVPR 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025
TimeTracker: Event-based Continuous Point Tracking for Video Frame Interpolation with Non-linear Motion CVPR 2025
Collaborative Discrete-Continuous Black-Box Prompt Learning for Language Models ICLR 2025
FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 2025
Rethinking Discrete Tokens: Treating Them as Conditions for Continuous Autoregressive Image Synthesis ICCV 2025
High-Resolution Spatiotemporal Modeling with Global-Local State Space Models for Video-Based Human Pose Estimation ICCV 2025
Rethinking Data Selection at Scale: Random Selection is Almost All You Need EMNLP 2025
Concept Matching with Agent for Out-of-Distribution Detection AAAI 2025
SIGMA: Selective Gated Mamba for Sequential Recommendation AAAI 2025
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025
NLoRA: NystrΓΆm-Initiated Low-Rank Adaptation for Large Language Models EMNLP 2025
Large Language Model Evaluation via Matrix Nuclear-Norm EMNLP 2025
Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning EMNLP 2025
LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025
FedOne: Query-Efficient Federated Learning for Black-box Discrete Prompt Learning ICML 2025
Training-free LLM Merging for Multi-task Learning ACL 2025
StructFlowBench: A Structured Flow Benchmark for Multi-turn Instruction Following ACL 2025
MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025
ContraDiff: Planning Towards High Return States via Contrastive Learning ICLR 2025
DRL: Decomposed Representation Learning for Tabular Anomaly Detection ICLR 2025
Detoxifying Large Language Models via the Diversity of Toxic Samples EMNLP 2025
Query Efficient Black-Box Visual Prompting with Subspace Learning CVPR 2025
Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning CVPR 2025
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection CVPR 2025
CGMatch: A Different Perspective of Semi-supervised Learning CVPR 2025
PTaRL: Prototype-based Tabular Representation Learning via Space Calibration ICLR 2024
EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG) ACL 2024
Language Models can Evaluate Themselves via Probability Discrepancy ACL 2024
Fast and Adversarial Robust Kernelized SDU Learning AISTATS 2024
Learning Sampling Policy to Achieve Fewer Queries for Zeroth-Order Optimization AISTATS 2024
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow CVPR 2024
Seeing Motion at Nighttime with an Event Camera CVPR 2024
Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework ECCV 2024
Exploring the Common Appearance-Boundary Adaptation for Nighttime Optical Flow ICLR 2024
DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning ICML 2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024
Double Momentum Method for Lower-Level Constrained Bilevel Optimization ICML 2024
ScreenAgent: A Vision Language Model-driven Computer Control Agent IJCAI 2024
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli IJCAI 2024
From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal ICCV 2023
Signed Laplacian Graph Neural Networks AAAI 2023
Unsupervised Cumulative Domain Adaptation for Foggy Scene Optical Flow CVPR 2023
Learning Generalizable Agents via Saliency-guided Features Decorrelation NIPS 2023
Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words CVPR 2023
Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023
TC-DWA:Text Clustering with Dual Word-Level Augmentation AAAI 2023
Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow AAAI 2023
Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation ICCV 2023
The Sufficiency of Off-Policyness and Soft Clipping: PPO Is Still Insufficient according to an Off-Policy Measure AAAI 2023
Distributional Reward Estimation for Effective Multi-agent Deep Reinforcement Learning NIPS 2022
Close the Loop: A Unified Bottom-Up and Top-Down Paradigm for Joint Image Deraining and Segmentation AAAI 2022
Orthogonal Graph Neural Networks AAAI 2022
Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis INTERSPEECH 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning IJCNLP 2022
Unsupervised Deraining: Where Contrastive Learning Meets Self-Similarity CVPR 2022
Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network CVPR 2022
Towards Unified Representations of Knowledge Graph and Expert Rules for Machine Learning and Reasoning AACL 2022
A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection COLING 2022
Physically Disentangled Intra- and Inter-Domain Adaptation for Varicolored Haze Removal CVPR 2022
FastClass: A Time-Efficient Approach to Weakly-Supervised Text Classification EMNLP 2022
Learning Semantic Textual Similarity via Topic-informed Discrete Latent Variables EMNLP 2022
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition EMNLP 2021
Eliminating Sentiment Bias for Aspect-Level Sentiment Classification with Unsupervised Opinion Extraction EMNLP 2021
Robust early-learning: Hindering the memorization of noisy labels ICLR 2021
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation CVPR 2021
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction ACL 2020
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler NIPS 2020
ToHRE: A Top-Down Classification Strategy with Hierarchical Bag Representation for Distantly Supervised Relation Extraction COLING 2020
Attention-based Multi-level Feature Fusion for Named Entity Recognition IJCAI 2020
Learning Signed Network Embedding via Graph Attention AAAI 2020
Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020
Follow-Up Question Generation Using Neural Tensor Network-Based Domain Ontology Population in an Interview Coaching System INTERSPEECH 2019
Learning Network Embedding with Community Structural Information IJCAI 2019
Document Modeling with External Attention for Sentence Extraction ACL 2018
Target-Sensitive Memory Networks for Aspect Sentiment Classification ACL 2018
Zero-shot User Intent Detection via Capsule Neural Networks EMNLP 2018
Abstract Meaning Representation for Paraphrase Detection NAACL 2018
Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017
Transformed Low-Rank Model for Line Pattern Noise Removal ICCV 2017
Hyper-Laplacian Regularized Unidirectional Low-Rank Tensor Recovery for Multispectral Image Denoising CVPR 2017
Timeline Summarization from Social Media with Life Cycle Models IJCAI 2016
Learning Hostname Preference to Enhance Search Relevance IJCAI 2016
Consistent Collective Matrix Completion under Joint Low Rank Structure AISTATS 2015
Iterative Viterbi A* Algorithm for K-Best Sequential Decoding ACL 2012
Learning Recurrent Event Queries for Web Search EMNLP 2010
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking COLING 2010
Empirical Exploitation of Click Data for Task Specific Ranking EMNLP 2009
Search Engine Adaptation by Feedback Control Adjustment for Time-sensitive Query NAACL 2009