Optimal Constraint Collection for Core-Selecting Path Mechanism. - Hao Cheng 014; Lei Zhang 086; Yi Zhang 073; Jun Wu 015; Chongjun Wang (AAMAS, 2018)

Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. - Yi Zhang 073; Zhecheng Zhang; Hao Cheng 014; Hengyang Lu; Lei Zhang 086; Chongjun Wang; Junyuan Xie (BIBM, 2019)

Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem. - Yi Zhang 073; Cheng Zeng; Hao Cheng 014; Chongjun Wang; Lei Zhang 086 (ICME, 2019)

MUNet: A Multi-scale U-Net Framework for Medical Image Segmentation. - Wentao Zhang 007; Hao Cheng 014; Jun Gan (IJCNN, 2020)

Fast core pricing algorithms for path auction. - Hao Cheng 014; Wentao Zhang 007; Yi Zhang 073; Lei Zhang 086; Jun Wu 015; Chongjun Wang (Auton. Agents Multi Agent Syst., 2020)

Truthful Mechanism Design for Multiregion Mobile Crowdsensing. - Yu Qiao 006; Jun Wu 015; Hao Cheng 014; Zilan Huang; Qiangqiang He; Chongjun Wang (Wirel. Commun. Mob. Comput., 2020)

DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. - Hualei Yu; Chong Luo; Yuntao Du 001; Hao Cheng 014; Meng Cao 004; Chongjun Wang (DASFAA (1), 2021)

False-name-proof mechanism for time window coverage tasks in mobile crowdsensing. - Hao Cheng 014; Bin Jin; Yu Qiao 006; Lei Zhang 086; Chongjun Wang (ICCCN, 2021)

GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. - Hualei Yu; Jinliang Yuan; Hao Cheng 014; Meng Cao 004; Chongjun Wang (IJCNN, 2021)

Mitigating Neural Network Overconfidence with Logit Normalization. - Hongxin Wei; Renchunzi Xie; Hao Cheng 014; Lei Feng 006; Bo An 001; Yixuan Li 001 (ICML, 2022)

A unified structure learning framework for graph attention networks. - Jinliang Yuan; Meng Cao 004; Hao Cheng 014; Hualei Yu; Junyuan Xie; Chongjun Wang (Neurocomputing, 2022)

Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. - Mingcai Chen; Hao Cheng 014; Yuntao Du 001; Ming Xu 014; Wenyu Jiang; Chongjun Wang (AAAI, 2023)

READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. - Wenyu Jiang; Yuxin Ge; Hao Cheng 014; Mingcai Chen; Shuai Feng; Chongjun Wang (AAAI, 2023)

Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. - Hao Cheng 014; Shufeng Kong; Yanchen Deng; Caihua Liu; Xiaohu Wu; Bo An 001; Chongjun Wang (IJCAI, 2023)

CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. - Shuai Feng; Wenyu Jiang; Mingcai Chen; Yuntao Du 001; Hao Cheng 014; Yuxin Ge; Chongjun Wang (SDM, 2023)

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. - Mingcai Chen; Yuntao Du 001; Wei Tang; Baoming Zhang; Hao Cheng 014; Shuwei Qian; Chongjun Wang (CoRR, 2023)

FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. - Shanli Tan; Hao Cheng 014; Xiaohu Wu; Han Yu 001; Tiantian He 001; Yew Soon Ong; Chongjun Wang; Xiaofeng Tao (AAAI, 2024)

DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. - Wenyu Jiang; Hao Cheng 014; Mingcai Chen; Chongjun Wang; Hongxin Wei (ICLR, 2024)