| 2026 | AAAI | IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection. | Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang |
| 2026 | AAAI | Detecting Fake News in Short Videos Through Multi-View Aggregation. | Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang |
| 2026 | AAAI | Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. | Yolo Yunlong Tang, Jing Bi, Chao Huang, Susan Liang, Daiki Shimada, Hang Hua, Yunzhong Xiao, Yizhi Song, Pinxin Liu, Mingqian Feng, Junjia Guo, Zhuo Liu, Luchuan Song, Ali Vosoughi, Jinxi He, Liu He, Zeliang Zhang, Jiebo Luo, Chenliang Xu |
| 2026 | ACL | MiniRAG: A Lightweight RAG system with Small Language Models. | Tianyu Fan, Jingyuan Wang, Xubin Ren, Chao Huang |
| 2026 | ACL | DRIFT: Transferring Reasoning Priors for Efficient MLLM Fine-Tuning. | Chao Huang, Zeliang Zhang, Jiang Liu, Ximeng Sun, Jialian Wu, Xiaodong Yu, Ze Wang, Chenliang Xu, Emad Barsoum, Zicheng Liu |
| 2026 | ACL | OpenPhone: Mobile Agentic Foundation Models. | Yangqin Jiang, Chao Huang |
| 2026 | ACL | Revisiting a Pain in the Neck: A Semantic Reasoning Benchmark for Language Models. | Yang Liu, Hongming Li, Melissa Xiaohui Qin, Chao Huang, Qiankun Liu |
| 2026 | ACL | AutoAgent: A Fully-Automated and Zero-Code Framework for LLM Agents. | Jiabin Tang, Tianyu Fan, Chao Huang |
| 2026 | ACL | LightReasoner: Can Small Language Models Teach Large Language Models Reasoning? | Jingyuan Wang, Yankai Chen, Zhonghang Li, Chao Huang |
| 2026 | ACL | AnyGraph: Graph Foundation Model in the Wild. | Lianghao Xia, Chao Huang |
| 2026 | ACL | Traffic-R1: Reinforced LLMs Bring Human-Like Reasoning to Traffic Signal Control Systems. | Xingchen Zou, Yuhao Yang, Zheng Chen, Xixuan Hao, Yiqi Chen, Chao Huang, Yuxuan Liang |
| 2026 | CAV | ATKVerifier: Adaptive Top-K Constraints for Tighter Verification of Semantic Segmentation Networks. | Yuehao Liu, Cong Tian, Yansong Dong, Liang Zhao, Chao Huang, Wensheng Wang |
| 2026 | INFOCOM | Decoupled Split Learning via Auxiliary Loss. | Anower Zihad, Felix Owino, Ming Tang, Chao Huang |
| 2026 | KDD | HiParse: A Hierarchical Framework for Optimizing Web Content Extraction to Enhance LLM Pre-training Data. | Yuzhuo Fu, Zhuyan Zhou, Chao Huang, Jiayi Wang, Binwei Zeng, Dongke Hu, Xiangchun Wang, Wang Hong, Jin Fan |
| 2026 | KDD | VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. | Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang |
| 2026 | WCNC | GDL-Loc: GNSS-Based Deep Learning Localization for Large Underground Parking Lots. | Chao Huang, Fan Zhang, Xinghe Chu, Yihong Zheng, Hao Huang, Zhaoming Lu |
| 2026 | WACV | Geo-Dmae: Geometric Deep Multi-Autoencoders for Monitoring Heterogeneous Normal Aging in Brain Subcortex. | Yuanyao Tan, Anuj Srivastava, Chao Huang |
| 2026 | WiOpt | HOSL: Hybrid-Order Split Learning for Memory-Constrained Edge Training. | Aakriti Lnu, Zhe Li, Dandan Liang, Chao Huang, Rui Li, Haibo Yang |
| 2025 | AAAI | Multi-view Evidential Learning-based Medical Image Segmentation. | Chao Huang, Yushu Shi, Waikeung Wong, Chengliang Liu, Wei Wang, Zhihua Wang, Jie Wen |
| 2025 | AAAI | Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt. | Benfeng Wang, Chao Huang, Jie Wen, Wei Wang, Yabo Liu, Yong Xu |
| 2025 | ACL | RecLM: Recommendation Instruction Tuning. | Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang |
| 2025 | ACL | Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models. | You Li, Heyu Huang, Chi Chen, Kaiyu Huang, Chao Huang, Zonghao Guo, Zhiyuan Liu, Jinan Xu, Yuhua Li, Ruixuan Li, Maosong Sun |
| 2025 | ACL | Aria-UI: Visual Grounding for GUI Instructions. | Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li |
| 2025 | CVPR | VidComposition: Can MLLMs Analyze Compositions in Compiled Videos? | Yunlong Tang, Junjia Guo, Hang Hua, Susan Liang, Mingqian Feng, Xinyang Li, Rui Mao, Chao Huang, Jing Bi, Zeliang Zhang, Pooyan Fazli, Chenliang Xu |
| 2025 | CVPR | Learning to Highlight Audio by Watching Movies. | Chao Huang, Ruohan Gao, J. M. F. Tsang, Jan Kurcius, Cagdas Bilen, Chenliang Xu, Anurag Kumar, Sanjeel Parekh |
| 2025 | EMNLP | LightRAG: Simple and Fast Retrieval-Augmented Generation. | Zirui Guo, Lianghao Xia, Yanhua Yu, Tu Ao, Chao Huang |
| 2025 | EMNLP | Boosting Data Utilization for Multilingual Dense Retrieval. | Chao Huang, Fengran Mo, Yufeng Chen, Changhao Guan, Zhenrui Yue, Xinyu Wang, Jinan Xu, Kaiyu Huang |
| 2025 | EMNLP | RecGPT: A Foundation Model for Sequential Recommendation. | Yangqin Jiang, Xubin Ren, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang |
| 2025 | EMNLP | EasyRec: Simple yet Effective Language Models for Recommendation. | Xubin Ren, Chao Huang |
| 2025 | EMNLP | GraphAgent: Agentic Graph Language Assistant. | Yuhao Yang, Jiabin Tang, Lianghao Xia, Xingchen Zou, Yuxuan Liang, Chao Huang |
| 2025 | EMNLP | Self-Adjust Softmax. | Chuanyang Zheng, Yihang Gao, Guoxuan Chen, Han Shi, Jing Xiong, Xiaozhe Ren, Chao Huang, Zhenguo Li, Yu Li |
| 2025 | ICCV | $\pi$-AVAS: Can Physics-Integrated Audio-Visual Modeling Boost Neural Acoustic Synthesis? | Susan Liang, Chao Huang, Yunlong Tang, Zeliang Zhang, Chenliang Xu |
| 2025 | ICCV | Generative AI for Cel-Animation: A Survey. | Yunlong Tang, Junjia Guo, Pinxin Liu, Zhiyuan Wang, Hang Hua, Jia-Xing Zhong, Yunzhong Xiao, Chao Huang, Luchuan Song, Susan Liang, Yizhi Song, Liu He, Jing Bi, Mingqian Feng, Xinyang Li, Zeliang Zhang, Chenliang Xu |
| 2025 | ICCV | Patch-Wise Intensity Mapping for Individualized Brain Abnormality Detection in Alzheimer's Disease. | Yangshuang Xu, Rongjie Liu, Chao Huang |
| 2025 | ICLR | Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge. | Jiayi Ye, Yanbo Wang, Yue Huang, Dongping Chen, Qihui Zhang, Nuno Moniz, Tian Gao, Werner Geyer, Chao Huang, Pin-Yu Chen, Nitesh V. Chawla, Xiangliang Zhang |
| 2025 | ICML | Scaling Value Iteration Networks to 5000 Layers for Extreme Long-Term Planning. | Yuhui Wang, Qingyuan Wu, Dylan R. Ashley, Francesco Faccio, Weida Li, Chao Huang, Jrgen Schmidhuber |
| 2025 | ICML | Ex-VAD: Explainable Fine-grained Video Anomaly Detection Based on Visual-Language Models. | Chao Huang, Yushu Shi, Jie Wen, Wei Wang, Yong Xu, Xiaochun Cao |
| 2025 | ICML | SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator. | Guoxuan Chen, Han Shi, Jiawei Li, Yihang Gao, Xiaozhe Ren, Yimeng Chen, Xin Jiang, Zhenguo Li, Weiyang Liu, Chao Huang |
| 2025 | ICML | Directly Forecasting Belief for Reinforcement Learning with Delays. | Qingyuan Wu, Yuhui Wang, Simon Sinong Zhan, Yixuan Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jrgen Schmidhuber, Chao Huang |
| 2025 | ICPADS | Pre-Training with Siamese Networks Using Self-Supervised Information for Unlabeled Images. | Jie Zhang, Chao Huang, Musab Sahrim, Mengfei Kang, Minghua Zhao, Xinhong Hei |
| 2025 | IJCAI | Omni-Dimensional State Space Model-driven SAM for Pixel-level Anomaly Detection. | Chao Huang, Qianyi Li, Jie Wen, Bob Zhang |
| 2025 | IJCAI | Towards VLM-based Hybrid Explainable Prompt Enhancement for Zero-Shot Industrial Anomaly Detection. | Weichao Cai, Weiliang Huang, Yunkang Cao, Chao Huang, Fei Yuan, Bob Zhang, Jie Wen |
| 2025 | IJCAI | Deep Opinion-Unaware Blind Image Quality Assessment by Learning and Adapting from Multiple Annotators. | Zhihua Wang, Xuelin Liu, Jiebin Yan, Jie Wen, Wei Wang, Chao Huang |
| 2025 | KDD | Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction. | Jiahao Ji, Wentao Zhang, Jingyuan Wang, Chao Huang |
| 2025 | NAACL | Multi-Stage LLM Fine-Tuning with a Continual Learning Setting. | Changhao Guan, Chao Huang, Hongliang Li, You Li, Ning Cheng, Zihe Liu, Yufeng Chen, Jinan Xu, Jian Liu |
| 2025 | SIGIR | Pre-training for Recommendation Unlearning. | Guoxuan Chen, Lianghao Xia, Chao Huang |
| 2025 | WSDM | LightGNN: Simple Graph Neural Network for Recommendation. | Guoxuan Chen, Lianghao Xia, Chao Huang |
| 2025 | WSDM | DiffGraph: Heterogeneous Graph Diffusion Model. | Zongwei Li, Lianghao Xia, Hua Hua, Shijie Zhang, Shuangyang Wang, Chao Huang |
| 2025 | WSDM | MixRec: Heterogeneous Graph Collaborative Filtering. | Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang |
| 2025 | WiOpt | CoCoI: Distributed Coded Inference System for Straggler Mitigation. | Xing Liu, Chao Huang, Ming Tang |
| 2024 | AAAI | Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification. | Chengliang Liu, Jinlong Jia, Jie Wen, Yabo Liu, Xiaoling Luo, Chao Huang, Yong Xu |
| 2024 | AAAI | REGLO: Provable Neural Network Repair for Global Robustness Properties. | Feisi Fu, Zhilu Wang, Weichao Zhou, Yixuan Wang, Jiameng Fan, Chao Huang, Qi Zhu, Xin Chen, Wenchao Li |
| 2024 | AAAI | HACDR-Net: Heterogeneous-Aware Convolutional Network for Diabetic Retinopathy Multi-Lesion Segmentation. | Qihao Xu, Xiaoling Luo, Chao Huang, Chengliang Liu, Jie Wen, Jialei Wang, Yong Xu |
| 2024 | ACCV | High-Quality Visually-Guided Sound Separation from Diverse Categories. | Chao Huang, Susan Liang, Yapeng Tian, Anurag Kumar, Chenliang Xu |
| 2024 | ACCV | Language-Guided Joint Audio-Visual Editing via One-Shot Adaptation. | Susan Liang, Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu |
| 2024 | CIKM | RecDiff: Diffusion Model for Social Recommendation. | Zongwei Li, Lianghao Xia, Chao Huang |
| 2024 | CIKM | EasyST: A Simple Framework for Spatio-Temporal Prediction. | Jiabin Tang, Wei Wei, Lianghao Xia, Chao Huang |
| 2024 | CVPR | FedUV: Uniformity and Variance for Heterogeneous Federated Learning. | Ha Min Son, Moon-Hyun Kim, Tai-Myoung Chung, Chao Huang, Xin Liu |
| 2024 | ECAI | Coopetition in Heterogeneous Cross-Silo Federated Learning. | Chao Huang, Justin Dachille, Xin Liu |
| 2024 | ECCV | Modeling and Driving Human Body Soundfields Through Acoustic Primitives. | Chao Huang, Dejan Markovic, Chenliang Xu, Alexander Richard |
| 2024 | ECCV | TrafficNight: An Aerial Multimodal Benchmark for Nighttime Vehicle Surveillance. | Guoxing Zhang, Yiming Liu, Xiaoyu Yang, Hailong Huang, Chao Huang |
| 2024 | EMNLP | XRec: Large Language Models for Explainable Recommendation. | Qiyao Ma, Xubin Ren, Chao Huang |
| 2024 | EMNLP | OpenGraph: Towards Open Graph Foundation Models. | Lianghao Xia, Ben Kao, Chao Huang |
| 2024 | FM | Bridging Dimensions: Confident Reachability for High-Dimensional Controllers. | Yuang Geng, Jake Brandon Baldauf, Souradeep Dutta, Chao Huang, Ivan Ruchkin |
| 2024 | ICANN | An Accuracy-Shaping Mechanism for Competitive Distributed Learning. | Chao Huang, Justin Dachille, Xin Liu |
| 2024 | ICDCS | Incentivizing Participation in SplitFed Learning: Convergence Analysis and Model Versioning. | Pengchao Han, Chao Huang, Xingyan Shi, Jianwei Huang, Xin Liu |
| 2024 | ICDE | Resource Allocation with Service Affinity in Large-Scale Cloud Environments. | Zuzhi Chen, Fuxin Jiang, Binbin Chen, Yu Li, Yunkai Zhang, Chao Huang, Rui Yang, Fan Jiang, Jianjun Chen, Wu Xiang, Guozhu Cheng, Rui Shi, Ning Ma, Wei Zhang, Tieying Zhang |
| 2024 | ICDE | Graph Augmentation for Recommendation. | Qianru Zhang, Lianghao Xia, Xuheng Cai, Siu-Ming Yiu, Chao Huang, Christian S. Jensen |
| 2024 | ICML | Diffusion-based Missing-view Generation With the Application on Incomplete Multi-view Clustering. | Jie Wen, Shijie Deng, Waikeung Wong, Guoqing Chao, Chao Huang, Lunke Fei, Yong Xu |
| 2024 | ICML | Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling. | Chengliang Liu, Gehui Xu, Jie Wen, Yabo Liu, Chao Huang, Yong Xu |
| 2024 | ICML | FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. | Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang |
| 2024 | ICML | Batch Singular Value Polarization and Weighted Semantic Augmentation for Universal Domain Adaptation. | Wangzi Qi, Wei Wang, Chao Huang, Jie Wen, Cong Wang |
| 2024 | ICML | Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays. | Qingyuan Wu, Simon Sinong Zhan, Yixuan Wang, Yuhui Wang, Chung-Wei Lin, Chen Lv, Qi Zhu, Jrgen Schmidhuber, Chao Huang |
| 2024 | ICMLA | Analytically Determining the Robustness of Binarized Neural Networks. | Sahar M. Alzahrani, Sven Schewe, Chao Huang, Xiaowei Huang |
| 2024 | IJCAI | Long Short-Term Dynamic Prototype Alignment Learning for Video Anomaly Detection. | Chao Huang, Jie Wen, Chengliang Liu, Yabo Liu |
| 2024 | IJCAI | Multimodal Representation Distribution Learning for Medical Image Segmentation. | Chao Huang, Weichao Cai, Qiuping Jiang, Zhihua Wang |
| 2024 | IJCAI | Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation. | Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao, Cong Wang, Xiaochun Cao |
| 2024 | INDIN | Fault-Tolerant Path Tracking Control for Electric Vehicles with Steering Actuator Faults via Learning-Based Fault Detection. | Cheng Tian, Chao Huang, Hailong Huang, Jing Zhao |
| 2024 | IROS | Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. | Ruochen Jiao, Yixuan Wang, Xiangguo Liu, Simon Sinong Zhan, Chao Huang, Qi Zhu |
| 2024 | KDD | UrbanGPT: Spatio-Temporal Large Language Models. | Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang |
| 2024 | KDD | A Survey of Large Language Models for Graphs. | Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla, Chao Huang |
| 2024 | KDD | MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline. | Guangming Sheng, Junwei Su, Chao Huang, Chuan Wu |
| 2024 | KDD | HiGPT: Heterogeneous Graph Language Model. | Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Long Xia, Dawei Yin, Chao Huang |
| 2024 | SMC | RealDriftGenerator: A Novel Approach to Generate Concept Drift in Real World Scenario. | Borong Lin, Chao Huang, Xiaohui Zhu, Nanlin Jin |
| 2024 | WWW | Large Language Models for Graphs: Progresses and Directions. | Chao Huang, Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh V. Chawla |
| 2024 | WWW | GraphPro: Graph Pre-training and Prompt Learning for Recommendation. | Yuhao Yang, Lianghao Xia, Da Luo, Kangyi Lin, Chao Huang |
| 2024 | WWW | Representation Learning with Large Language Models for Recommendation. | Xubin Ren, Wei Wei, Lianghao Xia, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang |
| 2024 | WWW | PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning. | Wei Wei, Jiabin Tang, Lianghao Xia, Yangqin Jiang, Chao Huang |
| 2024 | SIGIR | SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation. | Yuxi Liu, Lianghao Xia, Chao Huang |
| 2024 | SIGIR | GraphGPT: Graph Instruction Tuning for Large Language Models. | Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, Chao Huang |
| 2024 | RO-MAN | Quantum Exploration-based Reinforcement Learning for Efficient Robot Path Planning in Sparse-Reward Environment. | Chao Huang, Yibei Guo, Zhihui Zhu, Mei Si, Daniel Blankenberg, Rui Liu |
| 2024 | WSDM | DiffKG: Knowledge Graph Diffusion Model for Recommendation. | Yangqin Jiang, Yuhao Yang, Lianghao Xia, Chao Huang |
| 2024 | WSDM | SSLRec: A Self-Supervised Learning Framework for Recommendation. | Xubin Ren, Lianghao Xia, Yuhao Yang, Wei Wei, Tianle Wang, Xuheng Cai, Chao Huang |
| 2024 | WSDM | LLMRec: Large Language Models with Graph Augmentation for Recommendation. | Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang |
| 2024 | RV | Case Study: Runtime Safety Verification of Neural Network Controlled System. | Frank Yang, Simon Sinong Zhan, Yixuan Wang, Chao Huang, Qi Zhu |
| 2023 | AAAI | DICNet: Deep Instance-Level Contrastive Network for Double Incomplete Multi-View Multi-Label Classification. | Chengliang Liu, Jie Wen, Xiaoling Luo, Chao Huang, Zhihao Wu, Yong Xu |
| 2023 | AAAI | Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. | Jiahao Ji, Jingyuan Wang, Chao Huang, Junjie Wu, Boren Xu, Zhenhe Wu, Junbo Zhang, Yu Zheng |
| 2023 | AAAI | Graph Structure Learning on User Mobility Data for Social Relationship Inference. | Guangming Qin, Lexue Song, Yanwei Yu, Chao Huang, Wenzhe Jia, Yuan Cao, Junyu Dong |
| 2023 | ASPDAC | Mixed-Traffic Intersection Management Utilizing Connected and Autonomous Vehicles as Traffic Regulators. | Pin-Chun Chen, Xiangguo Liu, Chung-Wei Lin, Chao Huang, Qi Zhu |
| 2023 | CIKM | How Expressive are Graph Neural Networks in Recommendation? | Xuheng Cai, Lianghao Xia, Xubin Ren, Chao Huang |
| 2023 | CIKM | Spatio-Temporal Meta Contrastive Learning. | Jiabin Tang, Lianghao Xia, Jie Hu, Chao Huang |
| 2023 | CIKM | Explainable Spatio-Temporal Graph Neural Networks. | Jiabin Tang, Lianghao Xia, Chao Huang |
| 2023 | CVPR | Egocentric Audio-Visual Object Localization. | Chao Huang, Yapeng Tian, Anurag Kumar, Chenliang Xu |
| 2023 | CVPR | CIGAR: Cross-Modality Graph Reasoning for Domain Adaptive Object Detection. | Yabo Liu, Jinghua Wang, Chao Huang, Yaowei Wang, Yong Xu |
| 2023 | CVPR | Highly Confident Local Structure Based Consensus Graph Learning for Incomplete Multi-view Clustering. | Jie Wen, Chengliang Liu, Gehui Xu, Zhihao Wu, Chao Huang, Lunke Fei, Yong Xu |
| 2023 | DATE | A Safety-Guaranteed Framework for Neural-Network-Based Planners in Connected Vehicles under Communication Disturbance. | Kevin Kai-Chun Chang, Xiangguo Liu, Chung-Wei Lin, Chao Huang, Qi Zhu |
| 2023 | GLOBECOM | Incentive Mechanism Design for Distributed Ensemble Learning. | Chao Huang, Pengchao Han, Jianwei Huang |
| 2023 | GLOBECOM | Resource Allocation for Cognitive Radio Inspired Non-Orthogonal Multiple Access Networks: A Quantum Soft Actor-Critic Method. | Chao Huang, Ying He, Fei Yu, Peigen Zeng |
| 2023 | GLOBECOM | Price of Stability in Quality-Aware Federated Learning. | Yizhou Yan, Xinyu Tang, Chao Huang, Ming Tang |
| 2023 | ICANN | CLASPPNet: A Cross-Layer Multi-class Lane Semantic Segmentation Model Fused with Lane Detection Module. | Chao Huang, Zhiguang Wang, Yongnian Fan, Kai Liu, Qiang Lu |
| 2023 | ICANN | Hierarchical Diachronic Embedding of Knowledge Graph Combined with Fragmentary Information Filtering. | Kai Liu, Zhiguang Wang, Yixuan Yang, Chao Huang, Min Niu, Qiang Lu |
| 2023 | ICDE | Disentangled Graph Social Recommendation. | Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei |
| 2023 | ICDE | Online Anomalous Subtrajectory Detection on Road Networks with Deep Reinforcement Learning. | Qianru Zhang, Zheng Wang, Cheng Long, Chao Huang, Siu-Ming Yiu, Yiding Liu, Gao Cong, Jieming Shi |
| 2023 | ICLR | LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. | Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren |
| 2023 | ICML | Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. | Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu |
| 2023 | ICML | When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. | Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang |
| 2023 | ICML | Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation. | Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han |
| 2023 | IJCAI | Denoised Self-Augmented Learning for Social Recommendation. | Tianle Wang, Lianghao Xia, Chao Huang |
| 2023 | IJCAI | Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract). | Zhilu Wang, Chao Huang, Qi Zhu |
| 2023 | KDD | Multiplex Heterogeneous Graph Neural Network with Behavior Pattern Modeling. | Chaofan Fu, Guanjie Zheng, Chao Huang, Yanwei Yu, Junyu Dong |
| 2023 | KDD | Adaptive Graph Contrastive Learning for Recommendation. | Yangqin Jiang, Chao Huang, Lianghao Huang |
| 2023 | KDD | Knowledge Graph Self-Supervised Rationalization for Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang |
| 2023 | MICCAI | FBA-Net: Foreground and Background Aware Contrastive Learning for Semi-Supervised Atrium Segmentation. | Yunsung Chung, Chanho Lim, Chao Huang, Nassir Marrouche, Jihun Hamm |
| 2023 | RecSys | Multi-Relational Contrastive Learning for Recommendation. | Wei Wei, Lianghao Xia, Chao Huang |
| 2023 | SMC | A Deep Q-Network-Based Algorithm for Obstacle Avoidance and Target Tracking for Drones. | Jingrui Guo, Chao Huang, Hailong Huang |
| 2023 | WWW | Fair Graph Representation Learning via Diverse Mixture-of-Experts. | Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang |
| 2023 | WWW | Multi-Modal Self-Supervised Learning for Recommendation. | Wei Wei, Chao Huang, Lianghao Xia, Chuxu Zhang |
| 2023 | WWW | Automated Self-Supervised Learning for Recommendation. | Lianghao Xia, Chao Huang, Chunzhen Huang, Kangyi Lin, Tao Yu, Ben Kao |
| 2023 | WWW | Graph-less Collaborative Filtering. | Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu |
| 2023 | WWW | Debiased Contrastive Learning for Sequential Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Chunzhen Huang, Da Luo, Kangyi Lin |
| 2023 | WWW | Automated Spatio-Temporal Graph Contrastive Learning. | Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Zhonghang Li, Siu-Ming Yiu |
| 2023 | SIGIR | Graph Transformer for Recommendation. | Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang |
| 2023 | SIGIR | Disentangled Contrastive Collaborative Filtering. | Xubin Ren, Lianghao Xia, Jiashu Zhao, Dawei Yin, Chao Huang |
| 2023 | SIGIR | Graph Masked Autoencoder for Sequential Recommendation. | Yaowen Ye, Lianghao Xia, Chao Huang |
| 2023 | TrustCom | Cropping Resilient Secret Image Sharing Scheme with Lossless Recovery. | Shengyang Luo, Yaqi Liu, Xuehu Yan, Chao Huang |
| 2023 | VCIP | Symmetric Geometry Coding for Static Meshes. | Thuong Nguyen-Canh, Fang-Yi Chao, Chao Huang, Xiaozhong Xu, Shan Liu |
| 2023 | WSDM | Heterogeneous Graph Contrastive Learning for Recommendation. | Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo |
| 2023 | WiOpt | Information Elicitation from Decentralized Crowd Without Verification. | Kexin Chen, Chao Huang, Jianwei Huang |
| 2023 | WiOpt | On the Impact of Label Noise in Federated Learning. | Shuqi Ke, Chao Huang, Xin Liu |
| 2022 | ATVA | POLAR: A Polynomial Arithmetic Framework for Verifying Neural-Network Controlled Systems. | Chao Huang, Jiameng Fan, Xin Chen, Wenchao Li, Qi Zhu |
| 2022 | CIKM | Self-Supervised Learning for Recommendation. | Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin |
| 2022 | CIKM | Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. | Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang |
| 2022 | DAC | Design-while-verify: correct-by-construction control learning with verification in the loop. | Yixuan Wang, Chao Huang, Zhaoran Wang, Zhilu Wang, Qi Zhu |
| 2022 | DATE | Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding. | Zhilu Wang, Chao Huang, Qi Zhu |
| 2022 | ICASSP | Deep Object Detection with Example Attribute Based Prediction Modulation. | Zhihao Wu, Chengliang Liu, Chao Huang, Jie Wen, Yong Xu |
| 2022 | ICDE | Scalable Motif Counting for Large-scale Temporal Graphs. | Zhongqiang Gao, Chuanqi Cheng, Yanwei Yu, Lei Cao, Chao Huang, Junyu Dong |
| 2022 | ICDE | Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. | Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei |
| 2022 | IJCAI | RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. | Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla |
| 2022 | IJCAI | Mutual Distillation Learning Network for Trajectory-User Linking. | Wei Chen, Shuzhe Li, Chao Huang, Yanwei Yu, Yongguo Jiang, Junyu Dong |
| 2022 | KDD | Self-Supervised Hypergraph Transformer for Recommender Systems. | Lianghao Xia, Chao Huang, Chuxu Zhang |
| 2022 | KDD | Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Yuxuan Liang, Yanwei Yu, Chenliang Li |
| 2022 | KDD | Multiplex Heterogeneous Graph Convolutional Network. | Pengyang Yu, Chaofan Fu, Yanwei Yu, Chao Huang, Zhongying Zhao, Junyu Dong |
| 2022 | PCS | Boundary-Preserved Geometry Video for Dynamic Mesh Coding. | Chao Huang, Xiang Zhang, Jun Tian, Xiaozhong Xu, Shan Liu |
| 2022 | SIGIR | Self-Supervised Learning for Recommender System. | Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin |
| 2022 | SIGIR | Hypergraph Contrastive Collaborative Filtering. | Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang |
| 2022 | SIGIR | Knowledge Graph Contrastive Learning for Recommendation. | Yuhao Yang, Chao Huang, Lianghao Xia, Chenliang Li |
| 2022 | TrustCom | Robust Secure Aggregation with Lightweight Verification for Federated Learning. | Chao Huang, Yanqing Yao, Xiaojun Zhang, Da Teng, Yingdong Wang, Lei Zhou |
| 2022 | WSDM | Contrastive Meta Learning with Behavior Multiplicity for Recommendation. | Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin |
| 2021 | AAAI | Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. | Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang |
| 2021 | AAAI | Knowledge-aware Coupled Graph Neural Network for Social Recommendation. | Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye |
| 2021 | AAAI | Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo |
| 2021 | AAAI | Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. | Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng |
| 2021 | ASPDAC | Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems. | Qi Zhu, Chao Huang, Ruochen Jiao, Shuyue Lan, Hengyi Liang, Xiangguo Liu, Yixuan Wang, Zhilu Wang, Shichao Xu |
| 2021 | CIKM | Social Recommendation with Self-Supervised Metagraph Informax Network. | Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo |
| 2021 | CVPR | Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis. | Chao Huang, Anuj Srivastava, Rongjie Liu |
| 2021 | CVPR | MetaSets: Meta-Learning on Point Sets for Generalizable Representations. | Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long |
| 2021 | CVPR | VSpSR: Explorable Super-Resolution via Variational Sparse Representation. | Hangqi Zhou, Chao Huang, Shangqi Gao, Xiahai Zhuang |
| 2021 | DAC | Cocktail: Learn a Better Neural Network Controller from Multiple Experts via Adaptive Mixing and Robust Distillation. | Yixuan Wang, Chao Huang, Zhilu Wang, Shichao Xu, Zhaoran Wang, Qi Zhu |
| 2021 | DATE | Bounding Perception Neural Network Uncertainty for Safe Control of Autonomous Systems. | Zhilu Wang, Chao Huang, Yixuan Wang, Clara Hobbs, Samarjit Chakraborty, Qi Zhu |
| 2021 | ICDE | Purchase Intent Forecasting with Convolutional Hierarchical Transformer Networks. | Chao Huang, Jiashu Zhao, Dawei Yin |
| 2021 | ICDE | Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo |
| 2021 | ICDM | Temporal Multi-view Graph Convolutional Networks for Citywide Traffic Volume Inference. | Shaojie Dai, Jinshuai Wang, Chao Huang, Yanwei Yu, Junyu Dong |
| 2021 | IJCAI | Recent Advances in Heterogeneous Relation Learning for Recommendation. | Chao Huang |
| 2021 | IJCAI | Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen |
| 2021 | INFOCOM | Strategic Information Revelation in Crowdsourcing Systems Without Verification. | Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry |
| 2021 | IROS | Meta Preference Learning for Fast User Adaptation in Human-Supervisory Multi-Robot Deployments. | Chao Huang, Wenhao Luo, Rui Liu |
| 2021 | ICTAI | Evolutionary computing assisted deep reinforcement learning for multi-objective integrated energy system management. | Chao Huang, Long Wang, Xiong Luo, Hongcai Zhang, Yonghua Song |
| 2021 | SMC | Fixed-time Bearing-based Distributed Network Localization. | Mingyu Cao, Hao Zhang, Zhuping Wang, Changzhu Zhang, Chao Huang |
| 2021 | WWW | Motif-Preserving Dynamic Attributed Network Embedding. | Zhijun Liu, Chao Huang, Yanwei Yu, Junyu Dong |
| 2021 | SIGIR | Graph Meta Network for Multi-Behavior Recommendation. | Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo |
| 2021 | RO-MAN | Synthesized Trust Learning from Limited Human Feedback for Human-Load-Reduced Multi-Robot Deployments. | Yijiang Pang, Chao Huang, Rui Liu |
| 2020 | AAAI | Self-Supervised, Semi-Supervised, Multi-Context Learning for the Combined Classification and Segmentation of Medical Images (Student Abstract). | Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos |
| 2020 | AAAI | Shape-Aware Organ Segmentation by Predicting Signed Distance Maps. | Yuan Xue, Hui Tang, Zhi Qiao, Guanzhong Gong, Yong Yin, Zhen Qian, Chao Huang, Wei Fan, Xiaolei Huang |
| 2020 | AAAI | Few-Shot Knowledge Graph Completion. | Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla |
| 2020 | ATVA | ReachNN*: A Tool for Reachability Analysis of Neural-Network Controlled Systems. | Jiameng Fan, Chao Huang, Xin Chen, Wenchao Li, Qi Zhu |
| 2020 | CAV | SAW: A Tool for Safety Analysis of Weakly-Hard Systems. | Chao Huang, Kai-Chieh Chang, Chung-Wei Lin, Qi Zhu |
| 2020 | CBMS | Fully-Automated Analysis of Scoliosis from Spinal X-Ray Images. | Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Kenneth M. C. Cheung, Michael Kai Tsun To, Zhen Qian, Demetri Terzopoulos |
| 2020 | CIKM | Dynamic Representation Learning for Large-Scale Attributed Networks. | Zhijun Liu, Chao Huang, Yanwei Yu, Peng Song, Baode Fan, Junyu Dong |
| 2020 | CIKM | Fast Attributed Multiplex Heterogeneous Network Embedding. | Zhijun Liu, Chao Huang, Yanwei Yu, Baode Fan, Junyu Dong |
| 2020 | CIKM | Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer. | Xian Wu, Stephen M. Mattingly, Shayan Mirjafari, Chao Huang, Nitesh V. Chawla |
| 2020 | CIKM | Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. | Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia |
| 2020 | DAC | Opportunistic Intermittent Control with Safety Guarantees for Autonomous Systems. | Chao Huang, Shichao Xu, Zhilu Wang, Shuyue Lan, Wenchao Li, Qi Zhu |
| 2020 | ECAI | Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. | Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo |
| 2020 | ICCAD | Know the Unknowns: Addressing Disturbances and Uncertainties in Autonomous Systems : Invited Paper. | Qi Zhu, Wenchao Li, Hyoseung Kim, Yecheng Xiang, Kacper Wardega, Zhilu Wang, Yixuan Wang, Hengyi Liang, Chao Huang, Jiameng Fan, Hyunjong Choi |
| 2020 | ICCAD | Energy-Efficient Control Adaptation with Safety Guarantees for Learning-Enabled Cyber-Physical Systems. | Yixuan Wang, Chao Huang, Qi Zhu |
| 2020 | ICDM | Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. | Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin |
| 2020 | ICMLA | Partly Supervised Multi-Task Learning. | Abdullah-Al-Zubaer Imran, Chao Huang, Hui Tang, Wei Fan, Yuan Xiao, Dingjun Hao, Zhen Qian, Demetri Terzopoulos |
| 2020 | IJCAI | Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction. | Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo |
| 2020 | ICRA | Navigating Discrete Difference Equation Governed WMR by Virtual Linear Leader Guided HMPC. | Chao Huang, Xin Chen, Enyi Tang, Mengda He, Lei Bu, Shengchao Qin, Yifeng Zeng |
| 2020 | SMC | Reference-Free Human-Automation Shared Control for Obstacle Avoidance of Automated Vehicles. | Chao Huang, Peng Hang, Jingda Wu, Anh-Tu Nguyen, Chen Lv |
| 2020 | WWW | Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting. | Xian Wu, Chao Huang, Chuxu Zhang, Nitesh V. Chawla |
| 2020 | SIGIR | DPLCF: Differentially Private Local Collaborative Filtering. | Chen Gao, Chao Huang, Dongsheng Lin, Depeng Jin, Yong Li |
| 2020 | SIGIR | Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. | Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo |
| 2020 | RV | Efficient System Verification with Multiple Weakly-Hard Constraints for Runtime Monitoring. | Shih-Lun Wu, Ching-Yuan Bai, Kai-Chieh Chang, Yi-Ting Hsieh, Chao Huang, Chung-Wei Lin, Eunsuk Kang, Qi Zhu |
| 2020 | WiOpt | Online Crowd Learning with Heterogeneous Workers via Majority Voting. | Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry |
| 2019 | AAAI | Approximate Kernel Selection with Strong Approximate Consistency. | Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao |
| 2019 | CIKM | Similarity-Aware Network Embedding with Self-Paced Learning. | Chao Huang, Baoxu Shi, Xuchao Zhang, Xian Wu, Nitesh V. Chawla |
| 2019 | CIKM | Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. | Chao Huang, Xian Wu, Xuchao Zhang, Suwen Lin, Nitesh V. Chawla |
| 2019 | CIKM | Deep Dynamic Fusion Network for Traffic Accident Forecasting. | Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo |
| 2019 | GLOBECOM | Crowdsourcing with Heterogeneous Workers in Social Networks. | Chao Huang, Haoran Yu, Jianwei Huang, Randall A. Berry |
| 2019 | ICCAD | Towards Verification-Aware Knowledge Distillation for Neural-Network Controlled Systems: Invited Paper. | Jiameng Fan, Chao Huang, Wenchao Li, Xin Chen, Qi Zhu |
| 2019 | ICIP | Recognizing Material of a Covered Object: A Case Study With Graffiti. | Abdullah Alfarrarjeh, Dweep Trivedi, Seon Ho Kim, Hyunjun Park, Chao Huang, Cyrus Shahabi |
| 2019 | INDIN | Control of a Novel Parcel Delivery System Consisting of a UAV and a Public Train. | Hailong Huang, Andrey V. Savkin, Chao Huang |
| 2019 | INDIN | When Drones Take Public Transport: Towards Low Cost and Large Range Parcel Delivery. | Hailong Huang, Andrey V. Savkin, Chao Huang |
| 2019 | IECON | Decoupling Control of a SISO LTI Cascaded System with Inner Feedback Loops. | Chao Huang, Liang Li, Jialei Shi, Xiangyu Wang |
| 2019 | ISPA | Probabilistic Linguistic VIKOR Method Based on TODIM for Reliable Participant Selection Problem in Mobile Crowdsensing. | Chao Huang, Mingwei Lin, Riqing Chen |
| 2019 | KDD | Online Purchase Prediction via Multi-Scale Modeling of Behavior Dynamics. | Chao Huang, Xian Wu, Xuchao Zhang, Chuxu Zhang, Jiashu Zhao, Dawei Yin, Nitesh V. Chawla |
| 2019 | KDD | Heterogeneous Graph Neural Network. | Chuxu Zhang, Dongjin Song, Chao Huang, Ananthram Swami, Nitesh V. Chawla |
| 2019 | MDM | Time-Dependent Reachability Analysis: A Data-Driven Approach. | Chrysovalantis Anastasiou, Chao Huang, Seon Ho Kim, Cyrus Shahabi |
| 2019 | MICCAI | 3D U | Chao Huang, Hu Han, Qingsong Yao, Shankuan Zhu, Shaohua Kevin Zhou |
| 2019 | WWW | MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting. | Chao Huang, Chuxu Zhang, Jiashu Zhao, Xian Wu, Nitesh V. Chawla, Dawei Yin |
| 2019 | VCIP | Extreme Image Coding via Multiscale Autoencoders with Generative Adversarial Optimization. | Chao Huang, Haojie Liu, Tong Chen, Qiu Shen, Zhan Ma |
| 2019 | WSDM | Neural Tensor Factorization for Temporal Interaction Learning. | Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla |
| 2018 | AAAI | Transfer Adversarial Hashing for Hamming Space Retrieval. | Zhangjie Cao, Mingsheng Long, Chao Huang, Jianmin Wang |
| 2018 | CIKM | DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction. | Chao Huang, Junbo Zhang, Yu Zheng, Nitesh V. Chawla |
| 2018 | CIKM | RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data. | Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Louis Faust, Nitesh V. Chawla |
| 2018 | ITC | Design Automation for Intelligent Automotive Systems. | Shuyue Lan, Chao Huang, Zhilu Wang, Hengyi Liang, Wenhao Su, Qi Zhu |
| 2018 | MICCAI | SlicerSALT: Shape AnaLysis Toolbox. | Jared Vicory, Laura Pascal, Pablo Hernandez, James Fishbaugh, Juan-Carlos Prieto, Mahmoud Mostapha, Chao Huang, Hina Shah, Jun-Pyo Hong, Zhiyuan Liu, Loic Michoud, Jean-Christophe Fillion-Robin, Guido Gerig, Hongtu Zhu, Stephen M. Pizer, Martin Styner, Beatriz Paniagua |
| 2018 | WWW | Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification. | Chuxu Zhang, Chao Huang, Lu Yu, Xiangliang Zhang, Nitesh V. Chawla |
| 2018 | SENSYS | Locally Differentially Private Participant Recruitment for Mobile Crowdsourcing. | Chao Huang, Fengli Xu, Yong Li, Xinlei Chen, Pei Zhang |
| 2018 | SECON | Towards Reliable Hypothesis Validation in Social Sensing Applications. | Dong Wang, Daniel Zhang, Chao Huang |
| 2017 | DCOSS | Critical Source Selection in Social Sensing Applications. | Chao Huang, Dong Wang |
| 2017 | ICDCS | Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework. | Daniel Yue Zhang, Chao Zheng, Dong Wang, Douglas Thain, Xin Mu, Greg Madey, Chao Huang |
| 2017 | IJCAI | Switched Linear Multi-Robot Navigation Using Hierarchical Model Predictive Control. | Chao Huang, Xin Chen, Yifan Zhang, Shengchao Qin, Yifeng Zeng, Xuandong Li |
| 2017 | INFOCOM | Where are you from: Home location profiling of crowd sensors from noisy and sparse crowdsourcing data. | Chao Huang, Dong Wang, Shenglong Zhu |
| 2016 | CIKM | Crowdsourcing-based Urban Anomaly Prediction System for Smart Cities. | Chao Huang, Xian Wu, Dong Wang |
| 2016 | DCOSS | Unsupervised Interesting Places Discovery in Location-Based Social Sensing. | Chao Huang, Dong Wang |
| 2016 | FM | A Linear Programming Relaxation Based Approach for Generating Barrier Certificates of Hybrid Systems. | Zhengfeng Yang, Chao Huang, Xin Chen, Wang Lin, Zhiming Liu |
| 2016 | ICMLC | A unified mathematical treatment for Bedrosian identity. | Chao Huang, Jianwei Dong, Jianfeng Huang, Lihua Yang |
| 2016 | IJCAI | Hierarchical Model Predictive Control for Multi-Robot Navigation. | Chao Huang, Xin Chen, Yifan Zhang, Shengchao Qin, Yifeng Zeng, Xuandong Li |
| 2016 | INDIN | The graphics of the solutions by learning a RBM: Discussion on a special case. | Qian Zhang, Zhijing Yang, Chao Huang, Zhihua Yang, Lihua Yang |
| 2016 | ICWSM | Theme-Relevant Truth Discovery on Twitter: An Estimation Theoretic Approach. | Dong Wang, Jermaine Marshall, Chao Huang |
| 2016 | VCIP | QualityNet: Segmentation quality evaluation with deep convolutional networks. | Chao Huang, Qingbo Wu, Fanman Meng |
| 2016 | VCIP | Part propagation for local part segmentation. | Fanman Meng, Hongliang Li, Qingbo Wu, Bing Luo, Jianfei Cai, Chao Huang |
| 2015 | AAAI | VecLP: A Realtime Video Recommendation System for Live TV Programs. | Sheng Gao, Dai Zhang, Honggang Zhang, Chao Huang, Yongsheng Zhang, Jianxin Liao, Jun Guo |
| 2015 | ICNC | Financial crisis prediction based on distance to default and feature weighted support vector machine. | Weihao Hu, Fei Gao, Chao Huang |
| 2015 | MASS | Time-Aware Truth Discovery in Social Sensing. | Chao Huang, Dong Wang |
| 2015 | MASS | Towards Time-Sensitive Truth Discovery in Social Sensing Applications. | Chao Huang, Dong Wang, Nitesh V. Chawla |
| 2015 | TrustCom | Spatial-Temporal Aware Truth Finding in Big Data Social Sensing Applications. | Chao Huang, Dong Wang |
| 2015 | SEKE | DefDroid: Securing Android with Fine-Grained Security Policy. | Chao Huang, Shuohong Wang, Haiyang Sun, Zhengwei Qi |
| 2015 | SECON | Demo paper: A confidence-aware truth estimation tool for social sensing applications. | Chao Huang, Dong Wang |
| 2015 | SECON | On spatial-temporal truth finding in social sensing. | Chao Huang, Dong Wang, Nitesh V. Chawla |
| 2015 | SECON | Confidence-aware truth estimation in social sensing applications. | Dong Wang, Chao Huang |
| 2014 | ISCAS | Favorite object extraction using web images. | Fanman Meng, Bing Luo, Chao Huang, Liangzhi Tang, Bing Zeng, Nini Rao |
| 2014 | SECON | Dynamic logging with Dylog for networked embedded systems. | Wei Dong, Chao Huang, Jiliang Wang, Chun Chen, Jiajun Bu |
| 2013 | GLOBECOM | Discovering road segment-based outliers in urban traffic network. | Chao Huang, Xian Wu |
| 2013 | GLOBECOM | FEDCVS: A fair and efficient scheduling scheme for dynamic cooperative video streaming on smartphones. | Chao Huang, Anfu Zhou, Min Liu, Jinsong Lan, Zhongcheng Li |
| 2013 | INFOCOM | R3: Optimizing relocatable code for efficient reprogramming in networked embedded systems. | Wei Dong, Biyuan Mo, Chao Huang, Yunhao Liu, Chun Chen |
| 2013 | IECON | Experimental tracking control for pneumatic system. | Hai-Peng Ren, Chao Huang |
| 2013 | VCIP | Object co-segmentation based on directed graph clustering. | Fanman Meng, Bing Luo, Chao Huang |
| 2013 | VCIP | Robust texture representation by using binary code ensemble. | Tiecheng Song, Fanman Meng, Bing Luo, Chao Huang |
| 2013 | VCIP | Object co-detection via low-rank and sparse representation dictionary learning. | Yurui Xie, Chao Huang, Tiecheng Song, Jinxiu Ma, Jietao Jing |
| 2012 | AMIA | Cardiovascular Imaging Data Standards: A Graduate Student's Perspective. | Deborah Armstrong, Krystal Groff, Chao Huang, Timothy Lorimer, Karen Luse |
| 2012 | ICNC | Financial time series forecasting based on wavelet kernel support vector machine. | Chao Huang, Lili Huang, Tingting Han |
| 2011 | ICALT | An Extendible Software for Learning to Write Chinese Characters in Correct Stroke Sequences on Smartphones. | Vincent W. L. Tam, Chao Huang |
| 2011 | ICNC | Chaotic time series forecasting based on Cdf9/7 biorthogonal wavelet kernel support vector machine. | Chao Huang, Lili Huang, Weijun Zhong |
| 2011 | INFOCOM | ℛ | Wei Dong, Yunhao Liu, Chun Chen, Jiajun Bu, Chao Huang |
| 2010 | DATE | Reversible logic synthesis through ant colony optimization. | Min Li, Yexin Zheng, Michael S. Hsiao, Chao Huang |
| 2009 | ASPDAC | A novel Toffoli network synthesis algorithm for reversible logic. | Yexin Zheng, Chao Huang |
| 2009 | DATE | Defect-aware logic mapping for nanowire-based programmable logic arrays via satisfiability. | Yexin Zheng, Chao Huang |
| 2009 | ICASSP | Improving mispronunciation detection using machine learning. | Yuqiang Chen, Chao Huang, Frank K. Soong |
| 2008 | ASPDAC | Reconfigurable RTD-based circuit elements of complete logic functionality. | Yexin Zheng, Chao Huang |
| 2008 | ICASSP | Detecting tone errors in continuous Mandarin speech. | Yan-Bin Zhang, Min Chu, Chao Huang, Man-Gui Liang |
| 2008 | ICASSP | Automatic mispronunciation detection for Mandarin. | Feng Zhang, Chao Huang, Frank K. Soong, Min Chu, Ren-Hua Wang |
| 2008 | Interspeech | Mispronunciation detection for Mandarin Chinese. | Chao Huang, Feng Zhang, Frank K. Soong, Min Chu |
| 2008 | Interspeech | Prosody boundary detection through context-dependent position models. | Yue-Ning Hu, Min Chu, Chao Huang, Yan-Ning Zhang |
| 2007 | HPDC | Charisma: orchestrating migratable parallel objects. | Chao Huang, Laxmikant V. Kal |
| 2007 | ICASSP | Generalized Segment Posterior Probability for Automatic Mandarin Pronunciation Evaluation. | Jing Zheng, Chao Huang, Min Chu, Frank K. Soong, Weiping Ye |
| 2007 | ICPADS | Directions for Peer-to-Peer based mobile pervasive augmented reality gaming. | Chao Huang, Aaron Harwood, Shanika Karunasekera |
| 2007 | Interspeech | Exploring tonal variations via context-dependent tone models. | Yue-Ning Hu, Min Chu, Chao Huang, Yan-Ning Zhang |
| 2006 | ICASSP | Weighted Likelihood Ratio (WLR) Hidden Markov Model for Noisy Speech Recognition. | Chao Huang, Yingchun Huang, Frank K. Soong, Jianlai Zhou |
| 2006 | ICSE | Reengineering standalone C++ legacy systems into the J2EE partition distributed environment. | Xinyu Wang, Jianling Sun, Xiaohu Yang, Chao Huang, Zhijun He, Srinivasa R. Maddineni |
| 2006 | PPoPP | Performance evaluation of adaptive MPI. | Chao Huang, Gengbin Zheng, Laxmikant V. Kal, Sameer Kumar |
| 2005 | ICASSP | Motion compensation memory access optimization strategies for H.264/AVC decoder. | Ronggang Wang, Jintao Li, Chao Huang |
| 2004 | ICASSP | Segmental tonal modeling for phone set design in Mandarin LVCSR. | Chao Huang, Yu Shi, Jianlai Zhou, Min Chu, Terry Wang, Eric Chang |
| 2004 | ICASSP | Tone articulation modeling for Mandarin spontaneous speech recognition. | Jian-Lai Zhou, Ye Tian, Yu Shi, Chao Huang, Eric Chang |
| 2004 | ICCAD | High-level synthesis using computation-unit integrated memories. | Chao Huang, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |
| 2004 | Interspeech | Transformation and combination of hiden Markov models for speaker selection training. | Chao Huang, Tao Chen, Eric Chang |
| 2003 | ICCAD | Synthesis of Heterogeneous Distributed Architectures for Memory-Intensive Applications. | Chao Huang, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |
| 2002 | ICASSP | Speaker selection training for large vocabulary continuous speech recognition. | Chao Huang, Tao Chen, Eric Chang |
| 2002 | ICCAD | High-level synthesis of distributed logic-memory architectures. | Chao Huang, Srivaths Ravi, Anand Raghunathan, Niraj K. Jha |
| 2002 | Interspeech | On the use of Gaussian mixture model for speaker variability analysis. | Tao Chen, Chao Huang, Eric Chang, Jingchun Wang |
| 2002 | Interspeech | Adaptive model combination for dynamic speaker selection training. | Chao Huang, Tao Chen, Eric Chang |
| 2001 | Interspeech | Speech lab in a box: a Mandarin speech toolbox to jumpstart speech related research. | Eric Chang, Yu Shi, Jian-Lai Zhou, Chao Huang |
| 2001 | Interspeech | Analysis of speaker variability. | Chao Huang, Tao Chen, Stan Z. Li, Eric Chang, Jian-Lai Zhou |
| 2001 | Interspeech | Selective MCE training strategy in Mandarin speech recognition. | Jian-Lai Zhou, Eric Chang, Chao Huang |
| 2000 | Interspeech | Large vocabulary Mandarin speech recognition with different approaches in modeling tones. | Eric Chang, Jian-Lai Zhou, Shuo Di, Chao Huang, Kai-Fu Lee |
| 2000 | Interspeech | Accent modeling based on pronunciation dictionary adaptation for large vocabulary Mandarin speech recognition. | Chao Huang, Eric Chang, Jianlai Zhou, Kai-Fu Lee |
| 1999 | Interspeech | LODESTAR: a Mandarin spoken dialogue system for travel information retrieval. | Chao Huang, Peng Xu, Xin Zhang, Shubin Zhao, Taiyi Huang, Bo Xu |