Hu, Liang

41 publications

ICLR 2026 DiscoX: Benchmarking Discourse-Level Translation in Expert Domains Xiying Zhao, Zhoufutu Wen, Zhixuan Chen, Jingzhe Ding, Jianpeng Jiao, Shuai Li, Xi Li, Danni Liang, Shengda Long, Qianqian Liu, Xianbo Wu, Hongwan Gao, Xiang Gao, Liang Hu, Jiashuo Liu, Liumengyun, Weiran Shi, Chenghao Yang, Qianyu Yang, Xuanliang Zhang, Ge Zhang, Wenhao Huang

ICLR 2026 FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning Liang Hu, Jianpeng Jiao, Jiashuo Liu, Dongyuan Mutu, Yanle Ren, Zhoufutu Wen, Kaiyuan Zhang, Xuanliang Zhang, Xiang Gao, Tianci He, Fei Hu, Yali Liao, Zaiyuan Wang, Jingkai Liu, Sun Daibin, Ziqing Zeng, Zhiyuan Zeng, Chenghao Yang, Qianyu Yang, Mingren Yin, Ge Zhang, Xinyi Zhang, Xiying Zhao, Zhu Zhenwei, Hongseok Namkoong, Wenhao Huang

ICLR 2026 FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Yixiao Tian, Wangjinpeng.Levi, Zaiyuan Wang, YangYang, Lingyue Yin, Mingren Yin, Zhu Zhenwei, Tianle Cai, Xinjie Chen, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Nishuang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, 周欣, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang

IJCAI 2025 COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement Zhihao Sui, Liang Hu, Jian Cao, Usman Naseem, Zhongyuan Lai, Qi Zhang

IJCAI 2025 MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery Lin Ma, Liang Hu, Qiang Huang, Pingting Hao, Juncheng Hu

AAAI 2025 MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao

IJCAI 2025 RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement Shouyu Chen, Liang Hu, Juntao Wang, Usman Naseem, Zhongyuan Lai, Qi Zhang

IJCAI 2025 Recalling the Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy Zhihao Sui, Liang Hu, Jian Cao, Dora D. Liu, Usman Naseem, Zhongyuan Lai, Qi Zhang

AAAI 2025 Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

AAAI 2024 Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao

AAAI 2024 Graph Reasoning Transformers for Knowledge-Aware Question Answering Ruilin Zhao, Feng Zhao, Liang Hu, Guandong Xu

IJCAI 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu

NeurIPSW 2024 LLM2CLIP: Powerful Language Model Unlock Richer Visual Representation Aoqi Wu, Weiquan Huang, Yifan Yang, Xufang Luo, Yuqing Yang, Chunyu Wang, Liang Hu, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu

ICML 2024 MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

NeurIPS 2024 NeuroClips: Towards High-Fidelity and Smooth fMRI-to-Video Reconstruction Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang

IJCAI 2024 R2V-MIF: Rule-to-Vector Contrastive Learning and Multi-Channel Information Fusion for Therapy Recommendation Nengjun Zhu, Jieyun Huang, Jian Cao, Liang Hu, Zixuan Yuan, Huanjing Gao

AAAI 2023 A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai

AAAI 2023 Cross-Modal Distillation for Speaker Recognition Yufeng Jin, Guosheng Hu, Haonan Chen, Duoqian Miao, Liang Hu, Cairong Zhao

NeurIPS 2023 FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

NeurIPS 2023 MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu

AAAI 2023 Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai

IJCAI 2022 A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu

ECML-PKDD 2022 An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang

IJCAI 2021 Graph Learning Based Recommender Systems: A Review Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu

AAAI 2021 Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu

AAAI 2020 Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

IJCAI 2020 Intention2Basket: A Neural Intention-Driven Approach for Dynamic Next-Basket Planning Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

AAAI 2020 Representation Learning with Multiple Lipschitz-Constrained Alignments on Partially-Labeled Cross-Domain Data Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

AAAI 2019 Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

AAAI 2019 Evolutionarily Learning Multi-Aspect Interactions and Influences from Network Structure and Node Content Songlei Jian, Liang Hu, Longbing Cao, Kai Lu, Hang Gao

AAAI 2019 HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation Liang Hu, Songlei Jian, Longbing Cao, Zhiping Gu, Qingkui Chen, Artak Amirbekyan

IJCAI 2019 Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao

IJCAI 2019 Sequential Recommender Systems: Challenges, Progress and Prospects Shoujin Wang, Liang Hu, Yan Wang, Longbing Cao, Quan Z. Sheng, Mehmet A. Orgun

AAAI 2018 Attention-Based Transactional Context Embedding for Next-Item Recommendation Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu

IJCAI 2018 Interpretable Recommendation via Attraction Modeling: Learning Multilevel Attractiveness over Multimodal Movie Contents Liang Hu, Songlei Jian, Longbing Cao, Qingkui Chen

AAAI 2018 Metric-Based Auto-Instructor for Learning Mixed Data Representation Songlei Jian, Liang Hu, Longbing Cao, Kai Lu

IJCAI 2017 Diversifying Personalized Recommendation with User-Session Context Liang Hu, Longbing Cao, Shoujin Wang, Guandong Xu, Jian Cao, Zhiping Gu

ECML-PKDD 2017 Perceiving the Next Choice with Comprehensive Transaction Embeddings for Online Recommendation Shoujin Wang, Liang Hu, Longbing Cao

AAAI 2015 Deep Modeling Complex Couplings Within Financial Markets Wei Cao, Liang Hu, Longbing Cao

AAAI 2014 Deep Modeling of Group Preferences for Group-Based Recommendation Liang Hu, Jian Cao, Guandong Xu, Longbing Cao, Zhiping Gu, Wei Cao

IJCAI 2013 Cross-Domain Collaborative Filtering via Bilinear Multilevel Analysis Liang Hu, Jian Cao, Guandong Xu, Jie Wang, Zhiping Gu, Longbing Cao