Zhigang Hua

55 papers A* 9A 6B 3Journal 27Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Decoding for Hallucination-Resistant Multimodal Large Language Models.
CoRR
Shiwei Tan, Hengyi Wang, Weiyi Qin, Qi Xu, Zhigang Hua, Hao Wang
2026 J jnl
Causal Decoding for Hallucination-Resistant Multimodal Large Language Models.
Trans. Mach. Learn. Res.
Shiwei Tan, Hengyi Wang, Weiyi Qin, Qi Xu, Zhigang Hua, Hao Wang
2026 J jnl
Causal-Informed Hybrid Online Adaptive Optimization for Ad Load Personalization in Large-Scale Social Networks.
CoRR
Aakash Mishra, Qi Xu, Zhigang Hua, Keyu Nie, Vishwanath Sangale, Vishal Vaingankar, Jizhe Zhang, Ren Mao
2026 A* conf
Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation.
AAAI
Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu
2026 J jnl
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels.
CoRR
Tianyang Luo, Tao Feng, Zhigang Hua, Yan Xie, Shuang Yang, Ge Liu, Jiaxuan You
2026 J jnl
UniRec: Unified Multimodal Encoding for LLM-Based Recommendations.
CoRR
Zijie Lei, Tao Feng, Zhigang Hua, Yan Xie, Guanyu Lin, Shuang Yang, Ge Liu, Jiaxuan You
2025 — conf
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation.
KDD (2)
Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
A Scalable Pretraining Framework for Link Prediction with Efficient Adaptation.
CoRR
Yu Song, Zhigang Hua, Harry Shomer, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 A* conf
A Scalable and Effective Alternative to Graph Transformers.
AAAI
Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek
2025 A conf
Billion-Scale Graph Deep Learning Framework for Ads Recommendation.
CIKM
Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Li, Sem Park, Bo Long
2025 J jnl
CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation.
CoRR
Tianxin Wei, Xuying Ning, Xuxing Chen, Ruizhong Qiu, Yupeng Hou, Yan Xie, Shuang Yang, Zhigang Hua, Jingrui He
2025 A conf
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning.
CIKM
Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning.
CoRR
Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu
2025 J jnl
Higher-order Structure Boosts Link Prediction on Temporal Graphs.
CoRR
Jingzhe Liu, Zhigang Hua, Yan Xie, Bingheng Li, Harry Shomer, Yu Song, Kaveh Hassani, Jiliang Tang
2025 J jnl
IRanker: Towards Ranking Foundation Model.
CoRR
Tao Feng, Zhigang Hua, Zijie Lei, Yan Xie, Shuang Yang, Bo Long, Jiaxuan You
2025 A* conf
Learning Graph Quantized Tokenizers.
ICLR
Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2025 — conf
MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation.
KDD (2)
Yiling Liu, Wei Shi, Chen Fu, Ziyang Jiang, Zhigang Hua, David E. Carlson
2025 J jnl
RAG vs. GraphRAG: A Systematic Evaluation and Key Insights.
CoRR
Haoyu Han, Harry Shomer, Yu Wang, Yongjia Lei, Kai Guo, Zhigang Hua, Bo Long, Hui Liu, Jiliang Tang
2025 J jnl
Retrieval-Augmented Generation with Graphs (GraphRAG).
CoRR
Haoyu Han, Yu Wang, Harry Shomer, Kai Guo, Jiayuan Ding, Yongjia Lei, Mahantesh Halappanavar, Ryan A. Rossi, Subhabrata Mukherjee, Xianfeng Tang, Qi He, Zhigang Hua, Bo Long, Tong Zhao, Neil Shah, Amin Javari, Yinglong Xia, Jiliang Tang
2025 — conf
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning.
KDD (1)
Tao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang
2025 J jnl
Session-Level Dynamic Ad Load Optimization using Offline Robust Reinforcement Learning.
CoRR
Tao Liu, Qi Xu, Wei Shi, Zhigang Hua, Shuang Yang
2025 B conf
Staleness-Based Subgraph Sampling for Training GNNs on Large-Scale Graphs.
IEEE Big Data
Limei Wang, Si Zhang, Hanqing Zeng, Hao Wu, Zhigang Hua, Kaveh Hassani, Andrey Malevich, Bo Long, Shuiwang Ji
2025 J jnl
Synergizing Deconfounding and Temporal Generalization For Time-series Counterfactual Outcome Estimation.
CoRR
Yiling Liu, Juncheng Dong, Chen Fu, Wei Shi, Ziyang Jiang, Zhigang Hua, David E. Carlson
2025 J jnl
Unified Semantic and ID Representation Learning for Deep Recommenders.
CoRR
Guanyu Lin, Zhigang Hua, Tao Feng, Shuang Yang, Bo Long, Jiaxuan You
2024 J jnl
A Scalable and Effective Alternative to Graph Transformers.
CoRR
Kaan Sancak, Zhigang Hua, Jin Fang, Yan Xie, Andrey Malevich, Bo Long, Muhammed Fatih Balin, Ümit V. Çatalyürek
2024 A conf
Ads Supply Personalization via Doubly Robust Learning.
CIKM
Wei Shi, Chen Fu, Qi Xu, Sanjian Chen, Jizhe Zhang, Qinqin Zhu, Zhigang Hua, Shuang Yang
2024 J jnl
Ads Supply Personalization via Doubly Robust Learning.
CoRR
Wei Shi, Chen Fu, Qi Xu, Sanjian Chen, Jizhe Zhang, Qinqin Zhu, Zhigang Hua, Shuang Yang
2024 J jnl
Learning Graph Quantized Tokenizers for Transformers.
CoRR
Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2024 A* conf
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.
ICLR
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2024 J jnl
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections.
CoRR
Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2022 A conf
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.
CIKM
Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu
2022 J jnl
A Practical Distributed ADMM Solver for Billion-Scale Generalized Assignment Problems.
CoRR
Jun Zhou, Feng Qi, Zhigang Hua, Daohong Jian, Ziqi Liu, Hua Wu, Xingwen Zhang, Shuang Yang
2022 — conf
Heuristic strategies for solving the combinatorial optimization problem in real-world credit risk assessment.
GECCO Companion
Yongfeng Gu, Hao Ding, Kecai Gu, Runsheng Gan, Xiaoguang Huang, Yanming Fang, Zhigang Hua, Hua Wu, Jifeng Xuan, Jun Zhou
2021 A* conf
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.
NeurIPS
Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
2021 J jnl
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs.
CoRR
Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang
2021 A conf
AntOpt: A Multi-functional Large-scale Decision Optimization Platform.
CIKM
Jun Zhou, Yang Bao, Hua Wu, Zhigang Hua
2021 J jnl
Learning to Schedule DAG Tasks.
CoRR
Zhigang Hua, Feng Qi, Gan Liu, Shuang Yang
2020 A* conf
Solving Billion-Scale Knapsack Problems.
WWW
Xingwen Zhang, Feng Qi, Zhigang Hua, Shuang Yang
2020 J jnl
Solving Billion-Scale Knapsack Problems.
CoRR
Xingwen Zhang, Feng Qi, Zhigang Hua, Shuang Yang
2020 J jnl
Variational Optimization for the Submodular Maximum Coverage Problem.
CoRR
Jian Du, Zhigang Hua, Shuang Yang
2015 J jnl
ZCURVE 3.0: identify prokaryotic genes with higher accuracy as well as automatically and accurately select essential genes.
Nucleic Acids Res.
Zhigang Hua, Yan Lin, Yazhou Yuan, Dechang Yang, Wen Wei, Feng-Biao Guo
2010 — conf
Learning Document Labels from Enriched Click Graphs.
ICDM Workshops
Lan Nie, Zhigang Hua, Xiaofeng He, Scott Gaffney
2008 A* conf
Highlight: a system for creating and deploying mobile web applications.
UIST
Jeffrey Nichols, Zhigang Hua, John Barton
2007 B conf
Research and application of a new predictive control based on state feedback theory in power plant control system.
IEEE Congress on Evolutionary Computation
Zhigang Hua, Hua Hua, Jianhong Lu, Tiejun Zhang
2006 J jnl
Design and Performance Studies of an Adaptive Scheme for Serving Dynamic Web Content in a Mobile Computing Environment.
IEEE Trans. Mob. Comput.
Zhigang Hua, Xing Xie, Hao Liu, Hanqing Lu, Wei-Ying Ma
2006 J jnl
Web Browsing on Small-Screen Devices: A Multiclient Collaborative Approach.
IEEE Pervasive Comput.
Zhigang Hua, Hanqing Lu
2005 — conf
A collaborative environment for enhanced information access on small-form-factor devices.
Mobile HCI
Zhigang Hua, Yutaka Kidawara, Hanqing Lu, Katsumi Tanaka
2005 — conf
AIRE: an ambient interactive and responsive environment for mobile image management.
Mobile HCI
Zhigang Hua, Xiang-Jun Wang, Xing Xie, Qingshan Liu, Hanqing Lu, Wei-Ying Ma
2005 B conf
ASAP: A Synchronous Approach for Photo Sharing across Multiple Devices.
MMM
Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005 A conf
Automatic Annotation of Location Information for WWW Images.
ICME
Zhigang Hua, Chuang Wang, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005 A* conf
Providing on-demand sports video to mobile devices.
ACM Multimedia
Qingshan Liu, Zhigang Hua, Cunxun Zang, Xiaofeng Tong, Hanqing Lu
2005 — conf
Representing personal web information using a topic-oriented interface.
WWW (Special interest tracks and posters)
Zhigang Hua, Hao Liu, Xing Xie, Hanqing Lu, Wei-Ying Ma
2005 A* conf
Semantic knowledge extraction and annotation for web images.
ACM Multimedia
Zhigang Hua, Xiang-Jun Wang, Qingshan Liu, Hanqing Lu
2004 — conf
Automatic Synchronized Browsing of Images Across Multiple Devices.
PCM (2)
Zhigang Hua, Xing Xie, Hanqing Lu, Wei-Ying Ma
2003 — conf
Proxy+: Simple Proxy Augmentation for Dynamic Content Processing.
WCW
Chun Yuan, Zhigang Hua, Zheng Zhang