conftrace_

Yikai Zhang

32 papers · 2018–2026 · 14 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+14 more ↓ ๐Ÿงญ Keyword Pioneer ๐ŸŒ Conference Polyglot (14) ๐ŸŒ‰ Interdisciplinary Bridge ๐ŸŒˆ Renaissance Researcher (5) ๐Ÿƒ Academic Marathon (7)
๐Ÿƒ Academic Marathon (7) ๐Ÿ Cross-Pollinator (13) ๐Ÿ—บ๏ธ Taxonomy Completionist (63) ๐Ÿ† Grand Slam ๐Ÿงฌ Topic Evolution ๐Ÿค Dynamic Duo (11) ๐Ÿ‘‘ Triple Crown ๐Ÿ‘ฅ Mega-Team (28) ๐Ÿ“ˆ Trend Setter โšก Prolific Year (5) ๐Ÿ’Ž Century Club (30) ๐Ÿ—ƒ๏ธ Keyword Collector (130) ๐Ÿ”ฅ Unstoppable (8) โ“ The Questioner

Conferences

ACL (7) NIPS (7) AISTATS (3) EMNLP (2) ICLR (2) ICML (2) NAACL (2) AAAI (1) CVPR (1) ECCV (1) IJCAI (1) JMLR (1) UAI (1) WACV (1)

Research topics

Papers

Can LLMs Learn to Map the World from Local Descriptions? ACL 2026 Metaphor Reasoning is Meta-reasoning ACL 2026 Revealing the Barriers of Language Agents in Planning NAACL 2025 SELFGOAL: Your Language Agents Already Know How to Achieve High-level Goals NAACL 2025 DEEPER Insight into Your User: Directed Persona Refinement for Dynamic Persona Modeling ACL 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots WACV 2025 MCiteBench: A Multimodal Benchmark for Generating Text with Citations EMNLP 2025 Wings: Learning Multimodal LLMs without Text-only Forgetting NIPS 2024 Dissecting Human and LLM Preferences ACL 2024 TimeArena: Shaping Efficient Multitasking Language Agents in a Time-Aware Simulation ACL 2024 Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models ACL 2024 Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression ICML 2024 DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence? EMNLP 2024 Pygmtools: A Python Graph Matching Toolkit JMLR 2024 OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI NIPS 2024 Risk Bounds on Aleatoric Uncertainty Recovery AISTATS 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach ICLR 2023 Provably Convergent Schrรถdinger Bridge with Applications to Probabilistic Time Series Imputation ICML 2023 Model Spider: Learning to Rank Pre-Trained Models Efficiently NIPS 2023 HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation ACL 2023 C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models NIPS 2023 Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration NIPS 2023 Topology-Aware Uncertainty for Image Segmentation NIPS 2023 Stability of SGD: Tightness analysis and improved bounds UAI 2022 A Manifold View of Adversarial Risk AISTATS 2022 Topological Detection of Trojaned Neural Networks NIPS 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach ICLR 2021 Learn distributed GAN with Temporary Discriminators ECCV 2020 Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data CVPR 2020 Local Regularizer Improves Generalization AAAI 2020 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes IJCAI 2019 Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018