Hengshu Zhu

30 papers at tracked venues · 26 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-4570-643X ↗Homepage ↗

Venues

SIGKDD ×8 AAAI ×4 ACL ×4 WWW ×4 NeurIPS ×3 ICML ×2 IJCAI ×2 EMNLP ×1 ICDM ×1 SIGIR ×1

Frequent coauthors

Chuan Qin

×14

Hui Xiong

×10

Chen Zhu

×8

Xi Chen

×7

Zhi Zheng

×5

Haiping Ma

×5

Xingyi Zhang

×5

Ying Sun

×4

Yang Song

×4

Xiaoshan Yu

×4

Chao Wang

×3

Chuyu Fang

×3

Papers

ARADD: An Automatic Real-World API Discovery and Deployment Framework for AI Guide Service in Baidu Map
WWW 2026 ·
Fuling Wang
,
Le Zhang
,
Jingbo Zhou
,
Jindong Han
,
Ying Sun
,
Chuan Qin
, Hengshu Zhu,
Hui Xiong
BOLT: Benchmarking Open-World Learning for Text Classification
ACL 2026 ·
Chuan Qin
,
Xi Chen
,
Jinpeng Li
, Hengshu Zhu
GenDis: Generative-Discriminative Dual-View Co-Training for Generalized Category Discovery
ACL 2026 ·
Xi Chen
,
Chuan Qin
,
Jinpeng Li
,
Shasha Hu
,
Chao Wang
, Hengshu Zhu,
Hui Xiong
TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery
ACL 2026 ·
Wenxi Xu
,
Chuan Qin
,
Xi Chen
,
Chuyu Fang
,
Yuanchun Zhou
, Hengshu Zhu
From Missteps to Mastery: Enhancing Low-Resource Dense Retrieval through Adaptive Query Generation
SIGKDD 2025 ·
Zhenyu Tong
,
Chuan Qin
,
Chuyu Fang
,
Kaichun Yao
,
Xi Chen
,
Jingshuai Zhang
,
Chen Zhu
, Hengshu Zhu
KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph
ACL 2025 ·
Jinhao Jiang
,
Kun Zhou
,
Xin Zhao
,
Yang Song
,
Chen Zhu
, Hengshu Zhu,
Ji-Rong Wen
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models
SIGKDD 2025 ·
Chuan Qin
,
Xin Chen
,
Chengrui Wang
,
Pengmin Wu
,
Xi Chen
,
Yihang Cheng
,
Jingyi Zhao
,
Meng Xiao
,
Xiangchao Dong
,
Qingqing Long
,
Boya Pan
,
Han Wu
,
Chengzan Li
,
Yuanchun Zhou
,
Hui Xiong
, Hengshu Zhu
Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative Framework
SIGKDD 2025 ·
Xiao Han
,
Chen Zhu
, Hengshu Zhu,
Xiangyu Zhao
The 6th International Workshop on Talent and Management Computing (TMC 2025)
SIGKDD 2025 · Hengshu Zhu,
Yong Ge
,
Hui Xiong
,
Ee-Peng Lim
Towards Lifelong Model Editing via Simulating Ideal Editor
ICML 2025 ·
Yaming Guo
,
Siyang Guo
, Hengshu Zhu,
Ying Sun
Unifying Knowledge from Diverse Datasets to Enhance Spatial-Temporal Modeling: A Granularity-Adaptive Geographical Embedding Approach
ICML 2025 ·
Zhigaoyuan Wang
,
Ying Sun
, Hengshu Zhu
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
AAAI 2024 ·
Wenshuo Chao
,
Zhaopeng Qiu
,
Likang Wu
,
Zhuoning Guo
,
Zhi Zheng
, Hengshu Zhu,
Hao Liu
Adapting Job Recommendations to User Preference Drift with Behavioral-Semantic Fusion Learning
SIGKDD 2024 ·
Xiao Han
,
Chen Zhu
,
Xiao Hu
,
Chuan Qin
,
Xiangyu Zhao
, Hengshu Zhu
Collaboration-Aware Hybrid Learning for Knowledge Development Prediction
WWW 2024 ·
Liyi Chen
,
Chuan Qin
,
Ying Sun
,
Xin Song
,
Tong Xu
, Hengshu Zhu,
Hui Xiong
DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
IJCAI 2024 ·
Haiping Ma
,
Siyu Song
,
Chuan Qin
,
Xiaoshan Yu
,
Limiao Zhang
,
Xingyi Zhang
, Hengshu Zhu
DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
ICDM 2024 ·
Xiaoshan Yu
,
Chuan Qin
,
Qi Zhang
,
Chen Zhu
,
Haiping Ma
,
Xingyi Zhang
, Hengshu Zhu
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
AAAI 2024 ·
Haiping Ma
,
Changqian Wang
, Hengshu Zhu,
Shangshang Yang
,
Xiaoming Zhang
,
Xingyi Zhang
Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks
AAAI 2024 ·
Yingpeng Du
,
Di Luo
,
Rui Yan
,
Xiaopei Wang
,
Hongzhi Liu
, Hengshu Zhu,
Yang Song
,
Jie Zhang
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
AAAI 2024 ·
Likang Wu
,
Zhaopeng Qiu
,
Zhi Zheng
, Hengshu Zhu,
Enhong Chen
HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection
WWW 2024 ·
Haiping Ma
,
Yong Yang
,
Chuan Qin
,
Xiaoshan Yu
,
Shangshang Yang
,
Xingyi Zhang
, Hengshu Zhu
Harnessing Large Language Models for Text-Rich Sequential Recommendation
WWW 2024 ·
Zhi Zheng
,
Wenshuo Chao
,
Zhaopeng Qiu
, Hengshu Zhu,
Hui Xiong
Job-SDF: A Multi-Granularity Dataset for Job Skill Demand Forecasting and Benchmarking
NeurIPS 2024 ·
Xi Chen
,
Chuan Qin
,
Chuyu Fang
,
Chao Wang
,
Chen Zhu
,
Fuzhen Zhuang
, Hengshu Zhu,
Hui Xiong
MIRROR: A Multi-View Reciprocal Recommender System for Online Recruitment
SIGIR 2024 ·
Zhi Zheng
,
Xiao Hu
,
Shanshan Gao
, Hengshu Zhu,
Hui Xiong
Make Large Language Model a Better Ranker
EMNLP 2024 ·
Wenshuo Chao
,
Zhi Zheng
, Hengshu Zhu,
Hao Liu
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
NeurIPS 2024 ·
Hongzhan Lin
,
Ang Lv
,
Yuhan Chen
,
Chen Zhu
,
Yang Song
, Hengshu Zhu,
Rui Yan
OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation
NeurIPS 2024 ·
Yaming Guo
,
Chen Zhu
, Hengshu Zhu,
Tieru Wu
Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting
IJCAI 2024 ·
Xi Chen
,
Chuan Qin
,
Zhigaoyuan Wang
,
Yihang Cheng
,
Chao Wang
, Hengshu Zhu,
Hui Xiong
RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes
SIGKDD 2024 ·
Xiaoshan Yu
,
Chuan Qin
,
Dazhong Shen
,
Shangshang Yang
,
Haiping Ma
, Hengshu Zhu,
Xingyi Zhang
Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method
SIGKDD 2024 ·
Chen Yang
,
Sunhao Dai
,
Yupeng Hou
,
Wayne Xin Zhao
,
Jun Xu
,
Yang Song
, Hengshu Zhu
The 5th International Workshop on Talent and Management Computing (TMC'2024)
SIGKDD 2024 · Hengshu Zhu,
Yong Ge
,
Hui Xiong
,
Ee-Peng Lim