| 2026 | AAAI | Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. | Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Chen Wang, Jiahua Dong, Wangbo Yu, Ge Zhang, Xiang Li, Ian Reid, Xiaodan Liang |
| 2026 | AAAI | Video Spatial Reasoning with Object-Centric 3D Rollout. | Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang |
| 2025 | AAAI | MUSE: Mamba Is Efficient Multi-scale Learner for Text-video Retrieval. | Haoran Tang, Meng Cao, Jinfa Huang, Ruyang Liu, Peng Jin, Ge Li, Xiaodan Liang |
| 2025 | GECCO | A Large Language Model-assisted Evolutionary Algorithm for Expensive Constrained Multi-objective Optimization. | Siyu Chen, Haoran Tang, Jinyuan Zhang, Ke Tang |
| 2025 | ICCV | Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow. | Ruyang Liu, Shangkun Sun, Haoran Tang, Wei Gao, Ge Li |
| 2025 | ITW | RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion. | Lingyi Chen, Haoran Tang, Shitong Wu, Jiakun Liu, Huihui Wu, Wenyi Zhang, Hao Wu |
| 2025 | PAKDD | Expert-Guided Toxicity Filtration for Debiased Generation. | Xueyao Sun, Kaize Shi, Haoran Tang, Guandong Xu, Qing Li |
| 2024 | ACL | RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. | Meng Cao, Haoran Tang, Jinfa Huang, Peng Jin, Can Zhang, Ruyang Liu, Long Chen, Xiaodan Liang, Li Yuan, Ge Li |
| 2024 | CHI | Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning. | Jingying Wang, Haoran Tang, Taylor Kantor, Tandis Soltani, Vitaliy Popov, Xu Wang |
| 2024 | ECCV | ST-LLM: Large Language Models Are Effective Temporal Learners. | Ruyang Liu, Chen Li, Haoran Tang, Yixiao Ge, Ying Shan, Ge Li |
| 2024 | KDD | Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. | Yicong Li, Yu Yang, Jiannong Cao, Shuaiqi Liu, Haoran Tang, Guandong Xu |
| 2024 | MMM | Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection. | Kang Yi, Haoran Tang, Hongyu Bai, Yinjie Wang, Jing Xu, Ping Li |
| 2023 | CSCWD | A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents. | Kaihong Yan, Haoran Tang, Jian Zhang, Peng Peng, Hongwei Wang |
| 2023 | ICCV | Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. | Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang |
| 2023 | SIGIR | Dynamic Graph Evolution Learning for Recommendation. | Haoran Tang, Shiqing Wu, Guandong Xu, Qing Li |
| 2022 | CVPR | Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark. | Kaihong Yan, Ying Zhang, Haoran Tang, Chengkai Ren, Jian Zhang, Gaoang Wang, Hongwei Wang |
| 2021 | IJCNN | Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud. | Haoran Tang, Changwei Xu, Jianfei Yang |
| 2020 | ICONIP | DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. | Jun Zeng, Haoran Tang, Junhao Wen |
| 2019 | SEKE | A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. | Jun Zeng, Haoran Tang, Yinghua Li, Xin He |
| 2017 | ICML | Reinforcement Learning with Deep Energy-Based Policies. | Tuomas Haarnoja, Haoran Tang, Pieter Abbeel, Sergey Levine |