Xiangyu Zhao

Fair Decision Utility in Human-AI Collaboration: Interpretable Confidence Adjustment for Humans with Cognitive Disparities

Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval

Navigate the Unknown: Enhancing LLM Reasoning with Intrinsic Motivation Guided Exploration

From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents

SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization

Generative Auto-Bidding in Large-Scale Auctions via Diffusion Completer-Aligner

GeoArena: An Open Platform for Benchmarking Large Vision-language Models on WorldWide Image Geolocalization

DBGL: Decay-aware Bipartite Graph Learning for Irregular Medical Time Series

T-GINEE: A Tensor-Based Multi-Graph Representation Learning

Attention Needs to Focus: A Unified Perspective on Attention Allocation

TrojanScope: Interpretable Backdoor Detection for Time Series Forecasting

Collaborative Dual-Size Large Language Models with Dual-Stage Deferral Risk Control

Memory Type Matters: Enhancing Long-Term Memory in Large Language Models with Hybrid Strategies

Efficient Reasoning via Reward Model

UniTraj: Learning a Universal Trajectory Foundation Model from Billion-Scale Worldwide Traces

GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization

Data Efficient Adaptation in Large Language Models via Continuous Low-Rank Fine-Tuning

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning

Human Expertise Really Matters! Mitigating Unfair Utility Induced by Heterogenous Human Expertise in AI-assisted Decision-Making

Does Example Selection for In-Context Learning Amplify the Biases of Large Language Models?

Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark