Kaize Ding

38 papers at tracked venues · 24 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-6684-6752 ↗Homepage ↗

Venues

ACL ×7 SIGKDD ×6 EMNLP ×4 NeurIPS ×4 AAAI ×3 CIKM ×3 NAACL ×3 WSDM ×3 ICLR ×2 WWW ×2 ECML-PKDD ×1

Frequent coauthors

Han Liu

×5

Huan Liu

×5

Kexin Zhang

×4

Zhengyu Hu

×4

Chuxu Zhang

×4

Jundong Li

×4

Dongkuan Xu

×4

Ziqing Wang

×3

Yibo Wen

×3

Ruiyao Xu

×3

Yue Zhao

×3

Yixin Liu

×3

Papers

A Survey of Large Language Models for Text-Guided Molecular Discovery: From Molecule Generation to Optimization
ACL 2026 ·
Ziqing Wang
,
Kexin Zhang
,
Zihan Zhao
,
Yibo Wen
,
Abhishek Pandey
,
Han Liu
, Kaize Ding
Addressing Overthinking in Large Vision-Language Models via Gated Perception-Reasoning Optimization
ACL 2026 ·
Xingjian Diao
,
Zheyuan Liu
,
Chunhui Zhang
,
Weiyi Wu
,
Keyi Kong
,
Lin Shi
, Kaize Ding,
Soroush Vosoughi
,
Jiang Gui
CoAct: Co-Active LLM Preference Learning with Human-AI Synergy
ACL 2026 ·
Ruiyao Xu
,
Mihir Parmar
,
Tiankai Yang
,
Zhengyu Hu
,
Yue Zhao
, Kaize Ding
Explainable and Fine-Grained Safeguarding of LLM Multi-Agent Systems via Bi-Level Graph Anomaly Detection
ACL 2026 ·
Junjun Pan
,
Yixin Liu
,
Rui Miao
, Kaize Ding,
Yu Zheng
,
Quoc Viet Hung Nguyen
,
Alan Wee-Chung Liew
,
Shirui Pan
MolMem: Memory-Augmented Agentic Reinforcement Learning for Sample-Efficient Molecular Optimization
ACL 2026 ·
Ziqing Wang
,
Yibo Wen
,
Abhishek Pandey
,
Han Liu
, Kaize Ding
Rigorizing Retrieval-augmented Generation with Structured Knowledge Intelligence (6 Hrs)
WSDM 2026 ·
Zhisheng Qi
,
Yongjia Lei
,
Haoyu Han
,
Harry Shomer
, Kaize Ding,
Yu Zhang
,
Ryan A. Rossi
,
Hui Liu
,
Yu Wang
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
AAAI 2026 ·
Zhengyu Hu
,
Jieyu Zhang
,
Zhihan Xiong
,
Alexander Ratner
, Kaize Ding,
Ranjay Krishna
A Survey on Model Extraction Attacks and Defenses for Large Language Models
SIGKDD 2025 ·
Kaixiang Zhao
,
Lincan Li
, Kaize Ding,
Neil Zhenqiang Gong
,
Yue Zhao
,
Yushun Dong
AD-LLM: Benchmarking Large Language Models for Anomaly Detection
ACL 2025 ·
Tiankai Yang
,
Yi Nian
,
Li Li
,
Ruiyao Xu
,
Yuangang Li
,
Jiaqi Li
,
Zhuo Xiao
,
Xiyang Hu
,
Ryan A. Rossi
, Kaize Ding,
Xia Hu
,
Yue Zhao
ALERT: An LLM-powered Benchmark for Automatic Evaluation of Recommendation Explanations
NAACL 2025 ·
Yichuan Li
,
Xinyang Zhang
,
Chenwei Zhang
,
Mao Li
,
Tianyi Liu
,
Pei Chen
,
Yifan Gao
,
Kyumin Lee
, Kaize Ding,
Zhengyang Wang
,
Zhihan Zhang
,
Jingbo Shang
,
Xian Li
,
Trishul Chilimbi
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
EMNLP 2025 ·
Ziqing Wang
,
Chengsheng Mao
,
Xiaole Wen
,
Yuan Luo
, Kaize Ding
Avoiding Copyright Infringement via Large Language Model Unlearning
NAACL 2025 ·
Guangyao Dou
,
Zheyuan Liu
,
Qing Lyu
, Kaize Ding,
Eric Wong
Cross-Domain Conditional Diffusion Models for Time Series Imputation
ECML-PKDD 2025 ·
Kexin Zhang
,
Baoyu Jing
,
K. Selçuk Candan
,
Dawei Zhou
,
Qingsong Wen
,
Han Liu
, Kaize Ding
Explaining Length Bias in LLM-Based Preference Evaluations
EMNLP 2025 ·
Zhengyu Hu
,
Linxin Song
,
Jieyu Zhang
,
Zheyuan Xiao
,
Tianfu Wang
,
Zhengyu Chen
,
Nicholas Jing Yuan
,
Jianxun Lian
, Kaize Ding,
Hui Xiong
Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers
CIKM 2025 ·
Haoyu Wu
,
Qingcheng Zeng
, Kaize Ding
Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models
WSDM 2025 ·
Kexin Zhang
,
Fuyuan Lyu
,
Xing Tang
,
Dugang Liu
,
Chen Ma
, Kaize Ding,
Xiuqiang He
,
Xue Liu
Glocal Information Bottleneck for Time Series Imputation
NeurIPS 2025 ·
Jie Yang
,
Kexin Zhang
,
Guibin Zhang
,
Philip S. Yu
, Kaize Ding
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey
NAACL 2025 ·
Ruiyao Xu
, Kaize Ding
On Large Language Model Continual Unlearning
ICLR 2025 ·
Chongyang Gao
,
Lixu Wang
, Kaize Ding,
Chenkai Weng
,
Xiao Wang
,
Qi Zhu
Pareto-Optimal Energy Alignment for Designing Nature-Like Antibodies
NeurIPS 2025 ·
Yibo Wen
,
Chenwei Xu
,
Jerry Yao-Chieh Hu
, Kaize Ding,
Han Liu
RelKD 2025: The Third International Workshop on Resource-Efficient Learning for Knowledge Discovery
SIGKDD 2025 ·
Chuxu Zhang
, Kaize Ding,
Jundong Li
,
Dongkuan Xu
,
Haoyu Wang
,
Derek Zhiyuan Cheng
,
Huan Liu
RelWeb 2025: The International Workshop on Resource-Efficient Learning for the Web
WWW 2025 ·
Chuxu Zhang
, Kaize Ding,
Jundong Li
,
Dongkuan Xu
,
Haoyu Wang
,
Derek Zhiyuan Cheng
,
Huan Liu
Resource-Efficient Learning for the Web
WWW 2025 ·
Chuxu Zhang
, Kaize Ding,
Jundong Li
,
Dongkuan Xu
,
Haoyu Wang
,
Derek Zhiyuan Cheng
,
Huan Liu
Topology-Aware Conformal Prediction for Stream Networks
NeurIPS 2025 ·
Jifan Zhang
,
Fangxin Wang
,
Zihe Song
,
Philip S. Yu
, Kaize Ding,
Shixiang Zhu
Uncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep
CIKM 2025 ·
Qingcheng Zeng
,
Mingyu Jin
,
Qinkai Yu
,
Zhenting Wang
,
Wenyue Hua
,
Guangyan Sun
,
Yanda Meng
,
Shiqing Ma
,
Qifan Wang
,
Felix Juefei-Xu
,
Fan Yang
, Kaize Ding,
Ruixiang Tang
,
Yongfeng Zhang
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark
ICLR 2025 ·
Yili Wang
,
Yixin Liu
,
Xu Shen
,
Chenyu Li
,
Rui Miao
, Kaize Ding,
Ying Wang
,
Shirui Pan
,
Xin Wang
Data Quality-aware Graph Machine Learning
CIKM 2024 ·
Yu Wang
, Kaize Ding,
Xiaorui Liu
,
Jian Kang
,
Ryan A. Rossi
,
Tyler Derr
Data-Efficient Graph Learning
AAAI 2024 · Kaize Ding
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise
SIGKDD 2024 · Kaize Ding,
Xiaoxiao Ma
,
Yixin Liu
,
Shirui Pan
Empowering Large Language Models for Textual Data Augmentation
ACL 2024 ·
Yichuan Li
, Kaize Ding,
Jianling Wang
,
Kyumin Lee
Graph Anomaly Detection with Few Labels: A Data-Centric Approach
SIGKDD 2024 ·
Xiaoxiao Ma
,
Ruikun Li
,
Fanzhen Liu
, Kaize Ding,
Jian Yang
,
Jia Wu
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
EMNLP 2024 ·
Zhengyu Hu
,
Yichuan Li
,
Zhengyu Chen
,
Jingang Wang
,
Han Liu
,
Kyumin Lee
, Kaize Ding
Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization
SIGKDD 2024 ·
Haohui Wang
,
Baoyu Jing
, Kaize Ding,
Yada Zhu
,
Wei Cheng
,
Si Zhang
,
Yonghui Fan
,
Liqing Zhang
,
Dawei Zhou
On Fake News Detection with LLM Enhanced Semantics Mining
EMNLP 2024 ·
Xiaoxiao Ma
,
Yuchen Zhang
, Kaize Ding,
Jian Yang
,
Jia Wu
,
Hao Fan
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
SIGKDD 2024 ·
Chuxu Zhang
,
Dongkuan Xu
, Kaize Ding,
Jundong Li
,
Mojan Javaheripi
,
Subhabrata Mukherjee
,
Nitesh V. Chawla
,
Huan Liu
Revisiting Score Propagation in Graph Out-of-Distribution Detection
NeurIPS 2024 ·
Longfei Ma
,
Yiyou Sun
, Kaize Ding,
Zemin Liu
,
Fei Wu
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024 ·
Baoyu Jing
,
Yuchen Yan
, Kaize Ding,
Chanyoung Park
,
Yada Zhu
,
Huan Liu
,
Hanghang Tong
The 5th International Workshop on Machine Learning on Graphs (MLoG)
WSDM 2024 ·
Tyler Derr
,
Yao Ma
, Kaize Ding,
Tong Zhao
,
Nesreen K. Ahmed