Yikai Zhang
32 papers · 2018–2026 · 14 conferences · across top CS/AI conferences
Achievements
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๐งญ Keyword Pioneer ๐ Conference Polyglot (14) ๐ Interdisciplinary Bridge ๐ Renaissance Researcher (5) ๐ Academic Marathon (7)
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Academic Marathon
(7)
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Cross-Pollinator
(13)
๐บ๏ธ
Taxonomy Completionist
(63)
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Grand Slam
๐งฌ
Topic Evolution
๐ค
Dynamic Duo
(11)
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Triple Crown
๐ฅ
Mega-Team
(28)
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Trend Setter
โก
Prolific Year
(5)
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Century Club
(30)
๐๏ธ
Keyword Collector
(130)
๐ฅ
Unstoppable
(8)
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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)
Top co-authors
Research topics
Keywords
large language model
(4)
language agent
(3)
evaluation benchmark
(2)
topological data analysis
(2)
catastrophic forgetting
(2)
stochastic gradient descent
(2)
multimodal large language model
(2)
representation learning
(2)
path planning
(1)
model selection
(1)
reinforcement learning
(1)
model security
(1)
generative modeling
(1)
transfer learning
(1)
few-shot learning
(1)
semi-supervised learning
(1)
learning theory
(1)
self-supervised learning
(1)
medical imaging
(1)
optimal transport
(1)
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