activity
20232026
most citedWhere have you been? A Study of Privacy Risk for Point-of-Interest Recommendation

5 citations · 8 across the 5 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Aggregate-then-Calibrate for Human-centered Assessment with Theoretical Guarantees

Zejun Xie, Xintong Li, Guang Wang +1

Human-centered assessment tasks, which are essential for systematic decision-making, rely heavily on human judgment and typically lack verifiable ground truth. Existing approaches…

cs.AI2026

MobiDiff: Semantic-Aware Multi-Channel Discrete Diffusion for Human Mobility Data Generation

Rongchao Xu, Lin Jiang, Dahai Yu +5

Human mobility data are essential for transportation optimization, urban planning, and resource allocation, yet real-world mobility data are costly to collect and difficult to shar…

cs.CV2026

Any to Full: Prompting Depth Anything for Depth Completion in One Stage

Zhiyuan Zhou, Ruofeng Liu, Taichi Liu +4

Accurate, dense depth estimation is crucial for robotic perception, but commodity sensors often yield sparse or incomplete measurements due to hardware limitations. Existing RGBD-f…

cs.CV2025

Towards 3D Objectness Learning in an Open World

Taichi Liu, Zhenyu Wang, Ruofeng Liu +2

Recent advancements in 3D object detection and novel category detection have made significant progress, yet research on learning generalized 3D objectness remains insufficient. In…

cs.LG2024

Variational Language Concepts for Interpreting Foundation Language Models

Hengyi Wang, Shiwei Tan, Zhiqing Hong +2

Foundation Language Models (FLMs) such as BERT and its variants have achieved remarkable success in natural language processing. To date, the interpretability of FLMs has primarily…

cs.LG2024★ 3 cited

Hierarchical Structure Sharing Empowers Multi-task Heterogeneous GNNs for Customer Expansion

Xinyue Feng, Shuxin Zhong, Jinquan Hang +6

Customer expansion, i.e., growing a business existing customer base by acquiring new customers, is critical for scaling operations and sustaining the long-term profitability of log…

cs.LG2023★ 5 cited

Where have you been? A Study of Privacy Risk for Point-of-Interest Recommendation

Kunlin Cai, Jinghuai Zhang, Zhiqing Hong +5

As location-based services (LBS) have grown in popularity, more human mobility data has been collected. The collected data can be used to build machine learning (ML) models for LBS…