1% of Tokens Can Be Enough: On Gradient Estimation in On-Policy Distillation

Huanxin Sheng, Zhiling Ye, Haonan Wang, Jian Wang, Jinjie Gu, Jian Kang

arXiv:2609.24432

ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation

Dongdong Nian, Dongqi Fu, Chenliang Xu, Yinglong Xia, Hong Li, Hong Yan, Jian Kang

arXiv:2606.14260

Generalized Rank-based Evaluation for Knowledge Graph Completion: Perspectives, Framework, and Analyses

Sooho Moon, Jian Kang, Yunyong Ko

arXiv:2606.08921

The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents

Xuwei Ding*, Skylar Zhai*, Linxin Song*, Jiate Li, Taiwei Shi, Nicholas Meade, Siva Reddy, Jian Kang, Jieyu Zhao

arXiv:2604.10577

[Code] [Dataset]

Adopted by the Ant Group for benchmarking the safety of UI-Venus-2

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?

Jiale Liu, Huajun Xi, Shaokun Zhang, Yifan Zeng, Tianwei Yue, Chi Wang, Jian Kang, Qingyun Wu, Huazheng Wang

NeurIPS 2026

COLM 2026 Workshop on Lifelong Agents: Learning, Aligning, and Evolving

ICML 2026 Workshop on Failure Modes of Agentic AI (Oral, Top 6 out of 170)

[Website] [Code]

Video-Based Reward Modeling for Computer-Use Agents

Linxin Song*, Jieyu Zhang*, Huanxin Sheng, Taiwei Shi, Rahul Gupta, Yang Liu, Ranjay Krishna, Jian Kang, Jieyu Zhao

ECCV 2026

[Code] [Model] [Dataset]

Dissecting Hierarchical Reasoning Models: A Mechanistic Study

Leo Raphael Rodrigues, Jian Kang

ICML 2026 Mechanistic Interpretability Workshop

Regulating Algorithms Is Not Enough. A Study of Content Discovery in Online Platforms

Rebecca Salganik, Guillaume Salha-Galvan, Adelaida Afilipoaie, Gustavo Ferreira, Valdy Wiratama, Anson Kahng, Jian Kang, Heritiana Ranaivoson

ICML 2026

AIALIB: A Threat Library for AI-Generated Code

Ali Aljaberi, Jian Kang, Youcheng Sun

ASE 2026

[Code]

FairExpand: Individual Fairness on Graphs with Partial Similarity Information

Rebecca Salganik, Yibin Wang, Guillaume Salha-Galvan, Jian Kang

arXiv:2512.18180

Fair Online Influence Maximization

Xiangqi Wang, Shaokun Zhang, Jose Efraim Aguilar Escamilla, Qingyun Wu, Xiangliang Zhang, Jian Kang, Huazheng Wang

TMLR, 2025

Understanding and Rectifying Safety Perception Distortion in VLMs

Xiaohan Zou, Jian Kang, George Kesidis, Lu Lin

NeurIPS 2025

[Code]

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data

Zhining Liu, Zihao Li, Ze Yang, Tianxin Wei, Jian Kang, Yada Zhu, Hendrik Hamann, Jingrui He, Hanghang Tong

NeurIPS 2025

[Webpage] [Benchmark]

Analyzing Uncertainty of LLM-as-a-Judge: Interval Evaluations with Conformal Prediction

Huanxin Sheng, Xinyi Liu, Hangfeng He, Jieyu Zhao, Jian Kang

EMNLP 2025

🏆 SAC Highlights

[Code]

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base

Linxin Song, Xuwei Ding, Jieyu Zhang, Taiwei Shi, Ryotaro Shimizu, Rahul Gupta, Yang Liu, Jian Kang, Jieyu Zhao

COLM 2025

[Webpage] [Code]

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network

Weijia Guan, Haohui Wang, Jian Kang, Lihui Liu, Dawei Zhou

KDD 2025

[Code]

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks

Tuo Wang, Jian Kang, Yujun Yan, Adithya Kulkarni, Dawei Zhou

KDD 2025

[Code]

Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese

Hanjia Lyu, Jiebo Luo, Jian Kang, Allison Koenecke

FAccT 2025, IC2S2 2025 (parallel talk)

[Benchmark]

Bridging Fairness and Uncertainty: Theoretical Insights and Practical Strategies for Equalized Coverage in GNNs

Longfeng Wu, Yao Zhou, Jian Kang, Dawei Zhou

WWW 2025

[Code]

MusicSem: A Dataset of Music Descriptions on Reddit Capturing Musical Semantics

Rebecca Salganik, Teng Tu, Fei-Yueh Chen, Xiaohao Liu, Kaifeng Lu, Ethan Luvisia, Zhiyao Duan, Guillaume Salha-Galvan, Anson Kahng, Yunshan Ma, Jian Kang

ISMIR 2025

[Webpage] [Benchmark]

On the Generalization Capability of Temporal Graph Learning Algorithms: Theoretical Insights and a Simpler Method

Weilin Cong, Jian Kang, Hanghang Tong, Mehrdad Mahdavi

arXiv:2402.16387

Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks

Arjun Subramonian, Jian Kang, Yizhou Sun

NeurIPS 2024

[Code]

PageRank Bandits for Link Prediction

Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

NeurIPS 2024

[Code]

On the Sensitivity of Individual Fairness: Measures and Robust Algorithms

Xinyu He, Jian Kang, Ruizhong Qiu, Fei Wang, Jose Sepulveda, Hanghang Tong

CIKM 2024

LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation

Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua

KDD 2024

[Code]

Conformalized Link Prediction on Graph Neural Networks

Tianyi Zhao, Jian Kang, Lu Cheng

KDD 2024

Ensuring User-side Fairness in Dynamic Recommender Systems

Hyunsik Yoo, Zhichen Zeng, Jian Kang, Zhining Liu, David Zhou, Fei Wang, Eunice Chan, Hanghang Tong

WWW 2024

[Code]

Deceptive Fairness Attacks on Graphs via Meta Learning

Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong

ICLR 2024

[Code]

BeMap: Balanced Message Passing for Fair Graph Neural Network

Xiao Lin, Jian Kang, Weilin Cong, Hanghang Tong

LoG 2023

[Code]

Do We Really Need Complicated Model Architectures For Temporal Networks?

Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi

ICLR 2023

Oral, Top 5%

[Code] [Code (TGB version)] [Talk (long version)]