Convolutional neural networks at the interface of physical and digital data. - Daniela Ushizima; Chao Yang 001; Singanallur V. Venkatakrishnan; Flávio H. D. Araújo; Romuere Rôdrigues Veloso e Silva; Haoran Tang; Joao Vitor Mascarenhas; Alexander Hexemer; Dilworth Parkinson; James A. Sethian (AIPR, 2016)

Reinforcement Learning with Deep Energy-Based Policies. - Tuomas Haarnoja; Haoran Tang; Pieter Abbeel; Sergey Levine (ICML, 2017)

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning. - Haoran Tang; Rein Houthooft; Davis Foote; Adam Stooke; Xi Chen 022; Yan Duan; John Schulman; Filip De Turck; Pieter Abbeel (NIPS, 2017)

Modular Architecture for StarCraft II with Deep Reinforcement Learning. - Dennis Lee 003; Haoran Tang; Jeffrey O. Zhang; Huazhe Xu; Trevor Darrell; Pieter Abbeel (AIIDE, 2018)

A Next Location Predicting Approach Based on a Recurrent Neural Network and Self-attention. - Jun Zeng 003; Xin He; Haoran Tang; Junhao Wen 001 (CollaborateCom, 2019)

Predict the Next Location From Trajectory Based on Spatiotemporal Sequence. - Jun Zeng 003; Haoran Tang; Yingbo Wu; Ling Liu 001; Sachio Hirokawa (IIAI-AAI, 2019)

A Deep Learning Model Based on Sparse Matrix for Point-of-Interest Recommendation. - Jun Zeng 003; Haoran Tang; Yinghua Li; Xin He (SEKE, 2019)

Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning? - Ofir Nachum; Haoran Tang; Xingyu Lu; Shixiang Gu; Honglak Lee; Sergey Levine (CoRR, 2019)

RCFC: A Region-Based POI Recommendation Model with Collaborative Filtering and User Context. - Jun Zeng 003; Haoran Tang; Xin He (CollaborateCom (1), 2020)

Bagging of Gaussian Process for Large Generator Eddy Current Prediction. - Jing-ying Zhao; Min Han 001; Hai Guo; Haoran Tang; Na Dong; Enming Zhao (ICACI, 2020)

DPR-Geo: A POI Recommendation Model Using Deep Neural Network and Geographical Influence. - Jun Zeng 003; Haoran Tang; Junhao Wen 001 (ICONIP (3), 2020)

Bi-Adversarial Discrepancy Minimization for Unsupervised Domain Adaptation on 3D Point Cloud. - Haoran Tang; Changwei Xu; Jianfei Yang (IJCNN, 2021)

Predicting the next location: A self-attention and recurrent neural network model with temporal context. - Jun Zeng 003; Xin He; Haoran Tang; Junhao Wen 001 (Trans. Emerg. Telecommun. Technol., 2021)

PR-RCUC: A POI Recommendation Model Using Region-Based Collaborative Filtering and User-Based Mobile Context. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Min Gao 001; Junhao Wen 001 (Mob. Networks Appl., 2021)

Experimental research on the colour interpolation algorithm of the full colour image. - Haoran Tang; Zhuoyang Wang; Jianhui Yang; Sichen Zhou (CIPAE, 2022)

Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark. - Kaihong Yan; Ying Zhang; Haoran Tang; Chengkai Ren; Jian Zhang 083; Gaoang Wang; Hongwei Wang 001 (CVPR Workshops, 2022)

A Framework for Handwritten Date Recognition in Quality Documents. - Haoran Tang; Jian Zhang 083; Kaihong Yan; Gaoang Wang; Hongwei Wang 001 (ICEBE, 2022)

Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation. - Changwei Xu; Jianfei Yang; Haoran Tang; Han Zou; Cheng Lu; Tianshuo Zhang (CoRR, 2022)

Is Self-Supervised Learning More Robust Than Supervised Learning? - Yuanyi Zhong; Haoran Tang; Jun-Kun Chen; Jian Peng 001; Yu-Xiong Wang (CoRR, 2022)

HashEncoding: Autoencoding with Multiscale Coordinate Hashing. - Lukas Zhornyak; Zhengjie Xu; Haoran Tang; Jianbo Shi (CoRR, 2022)

WEKA-Based: Key Features and Classifier for French of Five Countries. - Zeqian Li; Keyu Qiu; Chenxu Jiao; Wen Zhu; Haoran Tang (CoRR, 2022)

An ensemble deep neural network approach for predicting TOC concentration in lakes along the middle-lower reaches of Yangtze River. - Hai Guo; Yifan Song; Haoran Tang; Jing-ying Zhao (J. Intell. Fuzzy Syst., 2022)

A Novel Encoder-Decoder Architecture for Table Border Segmentation of Scanned Documents. - Kaihong Yan; Haoran Tang; Jian Zhang 083; Peng Peng 006; Hongwei Wang 001 (CSCWD, 2023)

Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. - Yuanyi Zhong; Haoran Tang; Jun-Kun Chen; Yu-Xiong Wang (ICCV, 2023)

Dynamic Graph Evolution Learning for Recommendation. - Haoran Tang; Shiqing Wu 001; Guandong Xu; Qing Li 001 (SIGIR, 2023)

Weighted Joint Maximum Mean Discrepancy Enabled Multi-Source-Multi-Target Unsupervised Domain Adaptation Fault Diagnosis. - Zixuan Wang; Haoran Tang; Haibo Wang; Bo Qin; Mark D. Butala; Weiming Shen 001; Hongwei Wang 001 (CoRR, 2023)

Retrieving Conditions from Reference Images for Diffusion Models. - Haoran Tang; Xin Zhou 017; Jieren Deng; Zhihong Pan 001; Hao Tian 005; Pratik Chaudhari (CoRR, 2023)

Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications. - Xiang Li; Haoran Tang; Siyu Chen; Ziwei Wang; Anurag Maravi; Marcin Abram (CoRR, 2023)

Non-Local Means De-Speckling Based on Multi-Directional Local Plane Inclination Angle. - Fengcheng Guo; Haoran Tang; Wensong Liu (Remote. Sens., 2023)

Neu-PCM: Neural-based potential correlation mining for POI recommendation. - Jun Zeng 003; Haoran Tang; Yizhu Zhao; Junhao Wen 001 (Appl. Intell., 2023)

RAP: Efficient Text-Video Retrieval with Sparse-and-Correlated Adapter. - Meng Cao 002; Haoran Tang; Jinfa Huang; Peng Jin 001; Can Zhang 001; Ruyang Liu; Long Chen 016; Xiaodan Liang; Li Yuan 007; Ge Li 002 (ACL (Findings), 2024)

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 016 (CHI, 2024)

ST-LLM: Large Language Models Are Effective Temporal Learners. - Ruyang Liu; Chen Li 046; Haoran Tang; Yixiao Ge; Ying Shan; Ge Li 002 (ECCV (57), 2024)

A Peaceman-Rachford Splitting Approach with Deep Equilibrium Network for Channel Estimation. - Dingli Yuan; Shitong Wu; Haoran Tang; Lu Yang 003; Chenghui Peng (ICCT, 2024)

Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach. - Yicong Li 001; Yu Yang 012; Jiannong Cao 001; Shuaiqi Liu 002; Haoran Tang; Guandong Xu (KDD, 2024)

Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection. - Kang Yi; Haoran Tang; Hongyu Bai; Yinjie Wang; Jing Xu 008; Ping Li 016 (MMM (1), 2024)

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 (CoRR, 2024)

Expert-Guided Extinction of Toxic Tokens for Debiased Generation. - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li 001 (CoRR, 2024)

Why does in-context learning fail sometimes? Evaluating in-context learning on open and closed questions. - Xiang Li; Haoran Tang; Siyu Chen; Ziwei Wang; Ryan Chen; Marcin Abram (CoRR, 2024)

MUSE: Mamba is Efficient Multi-scale Learner for Text-video Retrieval. - Haoran Tang; Meng Cao 002; Jinfa Huang; Ruyang Liu; Peng Jin 001; Ge Li 002; Xiaodan Liang (CoRR, 2024)

PPLLaVA: Varied Video Sequence Understanding With Prompt Guidance. - Ruyang Liu; Haoran Tang; Haibo Liu; Yixiao Ge; Ying Shan; Chen Li 046; Jiankun Yang (CoRR, 2024)

PhysGame: Uncovering Physical Commonsense Violations in Gameplay Videos. - Meng Cao 002; Haoran Tang; Haoze Zhao; Hangyu Guo; Jiaheng Liu; Ge Zhang 009; Ruyang Liu; Qiang Sun; Ian Reid 003; Xiaodan Liang (CoRR, 2024)

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 (AAAI, 2025)

Expert-Guided Toxicity Filtration for Debiased Generation. - Xueyao Sun; Kaize Shi; Haoran Tang; Guandong Xu; Qing Li 001 (PAKDD (4), 2025)

DyBooster: Leveraging large language model as booster for dynamic recommendation. - Haoran Tang; Xueyao Sun; Shiqing Wu 001; Zhihong Cui; Guandong Xu; Qing Li 001 (Expert Syst. Appl., 2025)

Global and local hypergraph learning method with semantic enhancement for POI recommendation. - Jun Zeng 003; Hongjin Tao; Haoran Tang; Junhao Wen 001; Min Gao 001 (Inf. Process. Manag., 2025)

Adaptive Depth Enhancement Network for RGB-D Salient Object Detection. - Kang Yi; Yumeng Li; Haoran Tang; Jing Xu 008 (IEEE Signal Process. Lett., 2025)

DMSDRec: Dynamic Structure-Aware Graph Masked Autoencoder and Spatiotemporal Diffusion for Next-POI Recommendation. - Yue Li; Jun Zeng 003; Haoran Tang; Junhao Wen 001; Min Gao 001; Wei Zhou 028 (IEEE Trans. Serv. Comput., 2025)

HGDRec:Next POI Recommendation Based on Hypergraph Neural Network and Diffusion Model. - Yinchen Pan; Jun Zeng 003; Ziwei Wang; Haoran Tang; Junhao Wen 001; Min Gao 001 (IEEE Trans. Serv. Comput., 2025)

Dual Mutual Learning Network with Global-local Awareness for RGB-D Salient Object Detection. - Kang Yi; Haoran Tang; Yumeng Li; Jing Xu 008; Jun Zhang 003 (CoRR, 2025)

TCGC: Temporal Collaboration-Aware Graph Co-Evolution Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Xueyao Sun; Jun Zeng 003; Guandong Xu; Qing Li 001 (ACM Trans. Inf. Syst., 2025)

Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models. - Meng Cao 002; Pengfei Hu; Yingyao Wang; Jihao Gu; Haoran Tang; Haoze Zhao; Jiahua Dong 001; Wangbo Yu; Ge Zhang 009; Ian Reid 003; Xiaodan Liang (CoRR, 2025)

Model-Agnostic Dual-Side Online Fairness Learning for Dynamic Recommendation. - Haoran Tang; Shiqing Wu 001; Zhihong Cui; Yicong Li 001; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)

Sharpness-Aware Machine Unlearning. - Haoran Tang; Rajiv Khanna (CoRR, 2025)

RDD Function: A Tradeoff Between Rate and Distortion-in-Distortion. - Lingyi Chen; Haoran Tang; Shitong Wu; Jiakun Liu; Huihui Wu; Wenyi Zhang; Hao Wu (CoRR, 2025)

Educating Language Models as Promoters: Multi-Aspect Instruction Alignment With Self-Augmentation. - Xueyao Sun; Kaize Shi; Haoran Tang; Dingxian Wang; Guandong Xu; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2025)