conftrace_

Ying Sun

41 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

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+10 more ↓ 🌍 Conference Polyglot (11) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🏃 Academic Marathon (6) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🏆 Grand Slam 🏆 Keyword Champion (3) 🗃️ Keyword Collector (158) 💎 Century Club (34) 🔥 Unstoppable (7) 📈 Trend Setter Prolific Year (12)

Conferences

AAAI (8) ICML (7) NIPS (5) ACL (4) IJCAI (4) JMLR (4) AISTATS (3) CVPR (3) ICCV (1) ICLR (1) WACV (1)

Papers

Latent-Condensed Transformer for Efficient Long Context Modeling ACL 2026 OCP: Outlier-Centric Probing for Dynamic Structured Pruning of LLMs ACL 2026 Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated AAAI 2026 Discovering Decoupled Functional Modules in Large Language Models AAAI 2026 Punctuation-Steered Representation Fine-Tuning ACL 2026 NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation AAAI 2026 Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline AAAI 2026 Non-Convex Tensor Recovery from Local Measurements AAAI 2025 Outlier-Aware Post-Training Quantization for Discrete Graph Diffusion Models ICML 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 Covariance Selection over Networks AISTATS 2025 Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025 LLMs Can Simulate Standardized Patients via Agent Coevolution ACL 2025 Towards Lifelong Model Editing via Simulating Ideal Editor ICML 2025 Revisiting Noise Resilience Strategies in Gesture Recognition: Short-Term Enhancement in sEMG Analysis ICML 2025 Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach ICML 2025 Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees ICML 2025 Efficient Skill Discovery via Regret-Aware Optimization ICML 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 Tackling Uncertain Correspondences for Multi-Modal Entity Alignment NIPS 2024 Implicit Anomaly Subgraph Detection (IASD) in Multi-Domain Attribute Networks IJCAI 2024 Training-Free Object Counting With Prompts WACV 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NIPS 2024 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024 SpGesture: Source-Free Domain-adaptive sEMG-based Gesture Recognition with Jaccard Attentive Spiking Neural Network NIPS 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NIPS 2024 Anomaly Subgraph Detection through High-Order Sampling Contrastive Learning IJCAI 2024 A General Regret Bound of Preconditioned Gradient Method for DNN Training CVPR 2023 Counterfactual Dynamics Forecasting – a New Setting of Quantitative Reasoning AAAI 2023 Meta Compositional Referring Expression Segmentation CVPR 2023 Learning to Learn: How to Continuously Teach Humans and Machines ICCV 2023 Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification IJCAI 2023 Distributed Sparse Regression via Penalization JMLR 2023 Monitoring Vegetation From Space at Extremely Fine Resolutions via Coarsely-Supervised Smooth U-Net IJCAI 2022 Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation With Reliable Voted Pseudo Labels CVPR 2022 Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022 Hybrid Local SGD for Federated Learning with Heterogeneous Communications ICLR 2022 TAILOR: Teaching with Active and Incremental Learning for Object Registration AAAI 2021 Discerning Decision-Making Process of Deep Neural Networks with Hierarchical Voting Transformation NIPS 2021 Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks AISTATS 2020 Decentralized Dictionary Learning Over Time-Varying Digraphs JMLR 2019