Liang Hu - RankMe

116 papers A* 44A 2B 4C 2Journal 52Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AMID: Model-Agnostic Dataset Distillation by Adversarial Mutual Information Minimization. WWW Aoqi Wu, Junming Liu, Yuwei Zhang, Weiquan Huang, Liang Hu, Yifan Yang, Qi Zhang, Jiaxing Miao, Yuhan Tang, Zhongyuan Lai
2026	A*	`conf`	Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data. WWW Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi
2026	J	`jnl`	Beyond topology-based graph mining: Deep analysis research networks via evolutionary topology and content fusion. Inf. Fusion Xueyu Chen, Ran Miao, Liang Hu, Ruijian Wei, Qi Zhang, Kaitao Song, Usman Naseem, Cairong Zhao
2026	A*	`conf`	Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis. WWW Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang, Usman Naseem
2026	A*	`conf`	LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation. AAAI Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Usman Naseem, Chunyu Wang, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu, Liang Hu
2026	J	`jnl`	Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration. Inf. Fusion Zhuojia Wu, Qi Zhang, Duoqian Miao, Xuerong Zhao, Guangyin Bao, Liang Hu, Kun Yi, Yu Zhou
2025	A	`conf`	A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes. ICWSM Surendrabikram Thapa, Hariram Veeramani, Liang Hu, Qi Zhang, Wei Wang, Usman Naseem
2025	—	`conf`	A Survey on Deep Learning based Time Series Analysis with Frequency Transformation. KDD (2) Kun Yi, Qi Zhang, Wei Fan, Longbing Cao, Shoujin Wang, Hui He, Guodong Long, Liang Hu, Qingsong Wen, Hui Xiong
2025	J	`jnl`	COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. CoRR Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025	J	`jnl`	CUFG: Curriculum Unlearning Guided by the Forgetting Gradient. CoRR Jiaxing Miao, Liang Hu, Qi Zhang, Lai Zhong Yuan, Usman Naseem
2025	J	`jnl`	CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning. Knowl. Based Syst. Yinghan Cheng, Qi Zhang, Chongyang Shi, Liang Xiao, Shufeng Hao, Liang Hu
2025	J	`jnl`	MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms. IEEE Trans. Comput. Soc. Syst. Usman Naseem, Surendrabikram Thapa, Qi Zhang, Junaid Rashid, Liang Hu
2025	A*	`conf`	MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. AAAI Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao
2025	J	`jnl`	Multigranularity Data Analysis With Zentropy Uncertainty Measure for Efficient and Robust Feature Selection. IEEE Trans. Cybern. Kehua Yuan, Duoqian Miao, Witold Pedrycz, Hongyun Zhang, Liang Hu
2025	A*	`conf`	Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. IJCAI Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025	J	`jnl`	Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. CoRR Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang
2025	J	`jnl`	Robust Multivariate Time Series Forecasting Against Intraseries and Interseries Transitional Shift. IEEE Trans. Neural Networks Learn. Syst. Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2025	A*	`conf`	Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. WWW Yishuo Li, Qi Zhang, Wenpeng Lu, Xueping Peng, Weiyu Zhang, Jiasheng Si, Yongshun Gong, Liang Hu
2025	J	`jnl`	Toward medical test recommendation from optimal attribute selection perspectives: a backward reasoning approach. Complex Intell. Syst. Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Siji Zhu
2025	A*	`conf`	Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. AAAI Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
2024	J	`jnl`	CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning. CoRR Yinghan Cheng, Qi Zhang, Chongyang Shi, Liang Xiao, Shufeng Hao, Liang Hu
2024	J	`jnl`	DE CoRR Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao
2024	J	`jnl`	Deep Coupling Network For Multivariate Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
2024	J	`jnl`	Deep Coupling Network for Multivariate Time Series Forecasting. ACM Trans. Inf. Syst. Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu
2024	A*	`conf`	Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2024	J	`jnl`	Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. CoRR Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao
2024	A*	`conf`	Graph Reasoning Transformers for Knowledge-Aware Question Answering. AAAI Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu
2024	J	`jnl`	Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. Neurocomputing Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain
2024	A*	`conf`	HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. IJCAI Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
2024	J	`jnl`	HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. CoRR Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu
2024	J	`jnl`	Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. Soc. Netw. Anal. Min. Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim
2024	J	`jnl`	LLM2CLIP: Powerful Language Model Unlocks Richer Visual Representation. CoRR Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Liang Hu, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu
2024	A*	`conf`	Lite-Mind: Towards Efficient and Robust Brain Representation Learning. ACM Multimedia Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Yu Zhang, Ke Liu, Liang Hu, Duoqian Miao
2024	A*	`conf`	MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. ICML Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang
2024	J	`jnl`	MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. CoRR Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang
2024	A*	`conf`	MSynFD: Multi-hop Syntax Aware Fake News Detection. WWW Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
2024	J	`jnl`	MSynFD: Multi-hop Syntax aware Fake News Detection. CoRR Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu
2024	J	`jnl`	MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. CoRR Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu, Duoqian Miao
2024	A*	`conf`	NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. NeurIPS Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024	J	`jnl`	NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. CoRR Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang
2024	J	`jnl`	PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. CoRR Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao
2024	A*	`conf`	R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-channel Information Fusion for Therapy Recommendation. IJCAI Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao
2024	J	`jnl`	Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao
2024	B	`conf`	SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. IEEE Big Data Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Qi Zhang, Junaid Rashid, Liang Hu, Imran Razzak, Usman Naseem
2024	B	`conf`	THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning. IEEE Big Data Surendrabikram Thapa, Mohammad Salman, Siddhant Bikram Shah, Shuvam Shiwakoti, Qi Zhang, Liang Hu, Imran Razzak, Usman Naseem
2024	A*	`conf`	VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. ACM Multimedia Shouyu Chen, Liang Hu, Tangwei Ye, Zhongyuan Lai, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu
2024	J	`jnl`	Wills Aligner: A Robust Multi-Subject Brain Representation Learner. CoRR Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao
2023	A*	`conf`	A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. AAAI Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai
2023	—	`conf`	Causal Intervention for Abstractive Related Work Generation. EMNLP (Findings) Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang
2023	J	`jnl`	Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. Neurocomputing Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu
2023	A*	`conf`	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu
2023	J	`jnl`	Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao
2023	J	`jnl`	Lite-Mind: Towards Efficient and Versatile Brain Representation Network. CoRR Zixuan Gong, Qi Zhang, Duoqian Miao, Guangyin Bao, Liang Hu
2023	A*	`conf`	MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. SIGIR Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim
2023	A*	`conf`	MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers. NeurIPS Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu
2023	J	`jnl`	Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian
2023	J	`jnl`	Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast. CoRR Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu
2023	—	`conf`	Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. EMNLP (Findings) Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu
2023	J	`jnl`	PFEMed: Few-shot medical image classification using prior guided feature enhancement. Pattern Recognit. Zhiyong Dai, Jianjun Yi, Lei Yan, Qingwen Xu, Liang Hu, Qi Zhang, Jiahui Li, Guoqiang Wang
2023	A*	`conf`	PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. ICDM Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao
2023	—	`conf`	Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. ClinicalNLP@ACL Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim
2023	J	`jnl`	Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. CoRR Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem
2023	A*	`conf`	Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. AAAI Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai
2023	A*	`conf`	Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. WWW Tangwei Ye, Liang Hu, Qi Zhang, Zhongyuan Lai, Usman Naseem, Dora D. Liu
2023	—	`conf`	Syntax Tree Constrained Graph Network for Visual Question Answering. ICONIP (5) Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu
2023	J	`jnl`	Syntax Tree Constrained Graph Network for Visual Question Answering. CoRR Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2022	A*	`conf`	A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu
2022	—	`conf`	An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. ECML/PKDD (2) Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
2022	J	`jnl`	An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. CoRR Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang
2022	J	`jnl`	Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs. Knowl. Based Syst. Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu
2022	J	`jnl`	Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu
2022	A*	`conf`	Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022	J	`jnl`	Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. CoRR Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal
2022	J	`jnl`	Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. CoRR Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao
2021	A*	`conf`	Graph Learning based Recommender Systems: A Review. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Graph Learning based Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021	J	`jnl`	Hierarchical Attentive Transaction Embedding With Intra- and Inter-Transaction Dependencies for Next-Item Recommendation. IEEE Intell. Syst. Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
2021	A*	`conf`	Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. AAAI Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu
2020	J	`jnl`	Graph Learning Approaches to Recommender Systems: A Review. CoRR Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Nan Wang, Francesco Ricci, Philip S. Yu
2020	A*	`conf`	Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. AAAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2020	A*	`conf`	Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2020	J	`jnl`	Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation. CoRR Shoujin Wang, Longbing Cao, Liang Hu, Shlomo Berkovsky, Xiaoshui Huang, Lin Xiao, Wenpeng Lu
2020	A*	`conf`	Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data. AAAI Songlei Jian, Liang Hu, Longbing Cao, Kai Lu
2020	J	`jnl`	Sequential Recommender Systems: Challenges, Progress and Prospects. CoRR Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun
2020	J	`jnl`	The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning. IEEE Intell. Syst. Shoujin Wang, Gabriella Pasi, Liang Hu, Longbing Cao
2019	A*	`conf`	Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content. AAAI Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao
2019	J	`jnl`	Evolving Coauthorship Modeling and Prediction via Time-Aware Paired Choice Analysis. IEEE Access Liang Hu, Qingkui Chen, Longbing Cao, Songlei Jian, Haiyan Zhao, Jian Cao
2019	A*	`conf`	HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation. AAAI Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan
2019	A*	`conf`	Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao
2019	A*	`conf`	Sequential Recommender Systems: Challenges, Progress and Prospects. IJCAI Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun
2018	A*	`conf`	Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
2018	J	`jnl`	FastPM: An approach to pattern matching via distributed stream processing. Inf. Sci. Dingyu Yang, Jianmei Guo, Zhi-Jie Wang, Yuan Wang, Jingsong Zhang, Liang Hu, Jian Yin, Jian Cao
2018	A*	`conf`	Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents. IJCAI Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen
2018	A*	`conf`	Metric-Based Auto-Instructor for Learning Mixed Data Representation. AAAI Songlei Jian, Liang Hu, Longbing Cao, Kai Lu
2018	J	`jnl`	Neural Cross-Session Filtering: Next-Item Prediction Under Intra- and Inter-Session Context. IEEE Intell. Syst. Liang Hu, Qingkui Chen, Haiyan Zhao, Songlei Jian, Longbing Cao, Jian Cao
2018	—	`—`	Non-IID recommender systems: a machine learning approach Liang Hu
2017	A*	`conf`	Diversifying Personalized Recommendation with User-session Context. IJCAI Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu
2017	J	`jnl`	Improving the Quality of Recommendations for Users and Items in the Tail of Distribution. ACM Trans. Inf. Syst. Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Jie Wang
2017	—	`conf`	Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation. ECML/PKDD (2) Shoujin Wang, Liang Hu, Longbing Cao
2016	J	`jnl`	Learning Informative Priors from Heterogeneous Domains to Improve Recommendation in Cold-Start User Domains. ACM Trans. Inf. Syst. Liang Hu, Longbing Cao, Jian Cao, Zhiping Gu, Guandong Xu, Dingyu Yang
2015	A*	`conf`	Deep Modeling Complex Couplings within Financial Markets. AAAI Wei Cao, Liang Hu, Longbing Cao
2015	B	`conf`	Document similarity analysis via involving both explicit and implicit semantic couplings. DSAA Qianqian Chen, Liang Hu, Jia Xu, Wei Liu, Longbing Cao
2014	A*	`conf`	Bayesian Heteroskedastic Choice Modeling on Non-identically Distributed Linkages. ICDM Liang Hu, Wei Cao, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu
2014	A*	`conf`	Deep Modeling of Group Preferences for Group-Based Recommendation. AAAI Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao
2013	A	`conf`	A Social-Aware Service Recommendation Approach for Mashup Creation. ICWS Wenxing Xu, Jian Cao, Liang Hu, Jie Wang, Minglu Li
2013	J	`jnl`	A Social-Aware Service Recommendation Approach for Mashup Creation. Int. J. Web Serv. Res. Jian Cao, Wenxing Xu, Liang Hu, Jie Wang, Minglu Li
2013	A*	`conf`	Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis. IJCAI Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao
2013	—	`conf`	GEAM: A General and Event-Related Aspects Model for Twitter Event Detection. WISE (2) Yue You, Guangyan Huang, Jian Cao, Enhong Chen, Jing He, Yanchun Zhang, Liang Hu
2013	A*	`conf`	Personalized recommendation via cross-domain triadic factorization. WWW Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Can Zhu
2012	C	`conf`	A Service Intermediary Agent Framework for Web Service Integration. APSCC Jian Cao, Jie Wang, Liang Hu, Rujie Lai
2012	—	`conf`	Book Recommendation Based on Joint Multi-relational Model. CGC Qiuzi Shangguan, Liang Hu, Jian Cao, Guandong Xu
2012	B	`conf`	Latent Informative Links Detection. KES Liang Hu, Jian Cao, Guandong Xu, Zhiping Gu
2010	C	`conf`	Service Discovery and Recommendation in Rough Hierarchical Granular Computing. APSCC Liang Hu, Jian Cao, Zhiping Gu
2008	—	`conf`	Modeling Semantic Web Service using Semantic Templates. SKG Liang Hu, Jian Cao, Zhiping Gu