Hao Peng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
245
Venues
51
Active years
2012–2026
Best venue rank
A*
Where they publish
- A*AAAI27 papers
- A*WWW25 papers
- A*EMNLP24 papers
- ACIKM21 papers
- A*ACL19 papers
- A*IJCAI15 papers
- A*ICLR13 papers
- AWSDM8 papers
- A*ICML8 papers
- ANAACL8 papers
- A*ICDM8 papers
- A*SIGIR7 papers
- A*KDD6 papers
- ASDM5 papers
- A*CVPR4 papers
- CUIC4 papers
- BCOLING3 papers
- AMICCAI3 papers
- BDASFAA2 papers
- NationalICMLC2 papers
- BIJCNN2 papers
- BBigData2 papers
- AEACL1 paper
- CICCBR1 paper
- CAPWEB1 paper
- CPCS1 paper
- A*SIGGRAPH1 paper
- CVCIP1 paper
- CADMA1 paper
- A*CHI1 paper
- BICONIP1 paper
- AustralasianIVCNZ1 paper
- AUAI1 paper
- AECAI1 paper
- BMMM1 paper
- ARecSys1 paper
- CSecureComm1 paper
- A*INFOCOM1 paper
- AICWS1 paper
- BIJCNLP1 paper
- BPAKDD1 paper
- BICPADS1 paper
- BWISE1 paper
- ABMVC1 paper
- AICWSM1 paper
- NationalWSC1 paper
- BSERVICES1 paper
- BTrustCom1 paper
- CKSEM1 paper
- CIECON1 paper
- A*CCS1 paper
Papers
245 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging. | Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen, Ge Su, Hao Peng, Xuhong Zhang |
| 2026 | AAAI | RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation. | Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang |
| 2026 | AAAI | Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection. | Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu |
| 2026 | AAAI | RPGen: Robust and Differentially Private Synthetic Image Generation. | Zihao Wang, Hao Peng, Wei Dong, Yuecen Wei, Li Sun, Zhengtao Yu |
| 2026 | AAAI | Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection. | Zhiwei Yang, Haimei Qin, Xiaoyan Yu, Hao Peng, Lei Jiang, Li Sun, Zhiqin Yang |
| 2026 | AAAI | Hyperbolic Continuous Structural Entropy for Hierarchical Clustering. | Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu |
| 2026 | ACL | Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures. | Yi Hu, Jiaqi Gu, Ruxin Wang, Zijun Yao, Hao Peng, Xiaobao Wu, Jianhui Chen, Muhan Zhang, Liangming Pan |
| 2026 | ACL | WildReward: Learning Reward Models from In-the-Wild Human Interactions. | Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Lei Hou, Juanzi Li |
| 2026 | ACL | Activation-Guided Local Editing for Jailbreaking Attacks. | Jiecong Wang, Haoran Li, Hao Peng, Ziqian Zeng, Zihao Wang, Haohua Du, Zhengtao Yu |
| 2026 | ACL | SimPBL: A Multi-Agent Framework for Project-Based Learning. | Daniel Zhang-Li, Joy Lim Jia Yin, Binglin Liu, Shangqing Tu, Zijun Yao, Hao Peng, Jifan Yu, Haoxuan Li, Zhanxin Hao, Ye He, Zekun Li, Jiangyi Wang, Lei Hou, Bin Xu, Xin Cong, Zhiyuan Liu, Huiqin Liu, Yu Zhang, Juanzi Li |
| 2026 | ACL | MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning. | Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen |
| 2026 | EACL | Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning. | Jerry Huang, Siddarth Madala, Risham Sidhu, Cheng Niu, Hao Peng, Julia Hockenmaier, Tong Zhang |
| 2026 | ICCBR | Neuro-Symbolic Temporal Reasoning: A Hybrid Case-Based Approach for Robust Expiration Date Recognition. | Hao Peng, Juan Bayon, Joaqun Recas, Mara Guijarro |
| 2026 | KDD | Mitigating Privacy Risks in Graph Condensation from a Hyperbolic Geometry Perspective. | Yuecen Wei, Liu Yang, Beining Yang, Qingyun Sun, Hao Peng, Tianyu Wo, Chunming Hu, Xingcheng Fu |
| 2026 | WWW | MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues. | Diandian Guo, Fangfang Yuan, Cong Cao, Xixun Lin, Chuan Zhou, Hao Peng, Yanan Cao, Yanbing Liu |
| 2026 | WWW | Effective and Unsupervised Social Event Detection and Evolution via RAG and Structural Entropy. | Qitong Liu, Hao Peng, Zuchen Li, Xihang Meng, Ziyu Yang, Jiting Li, Li Sun, Philip S. Yu |
| 2026 | WWW | Heterophily-Agnostic Hypergraph Neural Networks with Riemannian Local Exchanger. | Li Sun, Ming Zhang, Wenxin Jin, Zhongtian Sun, Zhenhao Huang, Hao Peng, Sen Su, Philip S. Yu |
| 2026 | WWW | Playing Close to the Vest: Competitive Information Propagation in Partially Observed Dual-Population Mean-Field Games. | Dun Tan, Lixing Chen, Bo Zhang, Hongfu Liu, Hao Peng, Shenghong Li, Yang Bai, Pan Zhou |
| 2026 | WWW | Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning. | Zhenyu Yang, Ge Zhang, Shan Xue, Xiaoxiao Ma, Jian Yang, Hao Peng, Amin Beheshti, Jia Wu |
| 2026 | WWW | Think Then Recommend: An LLM-Powered Multi-Agent Framework for Personalized Conversational Recommender System in E-Commerce. | Yuankun Zu, Xiangyu Cai, Chuchu Yu, Hao Peng, Jia Duan, Long Chen, Kunyao Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law |
| 2026 | WSDM | Label-Free Contrastive Learning for Open-World Multimodal Social Event Detection. | Zhiwei Yang, Haimei Qin, Hao Peng, Xiaoyan Yu, Li Sun, Lei Jiang |
| 2025 | AAAI | Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics. | Li Sun, Ziheng Zhang, Zixi Wang, Yujie Wang, Qiqi Wan, Hao Li, Hao Peng, Philip S. Yu |
| 2025 | AAAI | Structural Entropy Guided Probabilistic Coding. | Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu |
| 2025 | AAAI | IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork. | Hui Wang, Renyu Yang, Jie Sun, Hao Peng, Xudong Mou, Tianyu Wo, Xudong Liu |
| 2025 | AAAI | Prompt-based Unifying Inference Attack on Graph Neural Networks. | Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu |
| 2025 | AAAI | Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space. | Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou, Zhiwei Yang, Li Sun, Hao Peng, Liehuang Zhu, Philip S. Yu |
| 2025 | ACL | Pre-training Distillation for Large Language Models: A Design Space Exploration. | Hao Peng, Xin Lv, Yushi Bai, Zijun Yao, Jiajie Zhang, Lei Hou, Juanzi Li |
| 2025 | ACL | Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems. | Hao Peng, Yunjia Qi, Xiaozhi Wang, Zijun Yao, Bin Xu, Lei Hou, Juanzi Li |
| 2025 | ACL | LongBench v2: Towards Deeper Understanding and Reasoning on Realistic Long-context Multitasks. | Yushi Bai, Shangqing Tu, Jiajie Zhang, Hao Peng, Xiaozhi Wang, Xin Lv, Shulin Cao, Jiazheng Xu, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li |
| 2025 | ACL | Probing the Geometry of Truth: Consistency and Generalization of Truth Directions in LLMs Across Logical Transformations and Question Answering Tasks. | Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Zhengwen Feng, Hao Peng, Jianwei Yin |
| 2025 | ACL | SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. | Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | APWEB | SocialED: A Python Library for Social Event Detection. | Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu |
| 2025 | CIKM | SMTIR: Scenario-Aware Multi-Trigger Induction Network for CTR Prediction. | Xuan Ma, Yu Shi, Hao Peng, Jia Duan, Zhanhao Ye, Kunyao Wang, Kai Yan, Long Chen, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law |
| 2025 | CIKM | Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. | Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu |
| 2025 | CIKM | Constraint Back-translation Improves Complex Instruction Following of Large Language Models. | Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li |
| 2025 | CIKM | StoryWriter: A Multi-Agent Framework for Long Story Generation. | Haotian Xia, Hao Peng, Yunjia Qi, Bin Xu, Juanzi Li, Lei Hou, Xiaozhi Wang |
| 2025 | CIKM | Hyperbolic Prompt Learning for Incremental Event Detection with LLMs. | Xiujin Zhang, Wenxin Jin, Haotian Hong, Pengfei Zhang, Jiting Li, Kongjing Gu, Hao Peng, Li Sun |
| 2025 | COLING | MMD-ERE: Multi-Agent Multi-Sided Debate for Event Relation Extraction. | Yong Guan, Hao Peng, Lei Hou, Juanzi Li |
| 2025 | COLING | Multi-View Incongruity Learning for Multimodal Sarcasm Detection. | Diandian Guo, Cong Cao, Fangfang Yuan, Yanbing Liu, Guangjie Zeng, Xiaoyan Yu, Hao Peng, Philip S. Yu |
| 2025 | DASFAA | Multi-view Attention Syntactic Enhanced Graph Convolutional Network for Aspect-Based Sentiment Analysis. | Xiang Huang, Hao Peng, Shuo Sun, Zhifeng Hao, Hui Lin, Shuhai Wang |
| 2025 | EMNLP | FACTCHECKMATE: Preemptively Detecting and Mitigating Hallucinations in LMs. | Deema Alnuhait, Neeraja Kirtane, Muhammad Khalifa, Hao Peng |
| 2025 | EMNLP | Improving Influence-based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities. | Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng |
| 2025 | EMNLP | Context Length Alone Hurts LLM Performance Despite Perfect Retrieval. | Yufeng Du, Minyang Tian, Srikanth Ronanki, Subendhu Rongali, Sravan Babu Bodapati, Aram Galstyan, Azton Wells, Roy Schwartz, Eliu A. Huerta, Hao Peng |
| 2025 | EMNLP | Emotion Transfer with Enhanced Prototype for Unseen Emotion Recognition in Conversation. | Kun Peng, Cong Cao, Hao Peng, Guanlin Wu, Zhifeng Hao, Lei Jiang, Yanbing Liu, Philip S. Yu |
| 2025 | EMNLP | VerIF: Verification Engineering for Reinforcement Learning in Instruction Following. | Hao Peng, Yunjia Qi, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li |
| 2025 | ICLR | A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts. | Suyu Ge, Xihui Lin, Yunan Zhang, Jiawei Han, Hao Peng |
| 2025 | ICLR | Scaling Diffusion Language Models via Adaptation from Autoregressive Models. | Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong |
| 2025 | ICLR | IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning. | Jiawen Qin, Haonan Yuan, Qingyun Sun, Lyujin Xu, Jiaqi Yuan, Pengfeng Huang, Zhaonan Wang, Xingcheng Fu, Hao Peng, Jianxin Li, Philip S. Yu |
| 2025 | ICLR | Eliminating Position Bias of Language Models: A Mechanistic Approach. | Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji |
| 2025 | ICLR | Retrieval Head Mechanistically Explains Long-Context Factuality. | Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu |
| 2025 | ICLR | Advancing LLM Reasoning Generalists with Preference Trees. | Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun |
| 2025 | ICML | Free Process Rewards without Process Labels. | Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng |
| 2025 | IJCAI | SetKE: Knowledge Editing for Knowledge Elements Overlap. | Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li |
| 2025 | IJCAI | Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition. | Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu |
| 2025 | IJCAI | Scalable Multi-Stage Influence Function for Large Language Models via Eigenvalue-Corrected Kronecker-Factored Parameterization. | Yuntai Bao, Xuhong Zhang, Tianyu Du, Xinkui Zhao, Jiang Zong, Hao Peng, Jianwei Yin |
| 2025 | IJCAI | T-T: Table Transformer for Tagging-based Aspect Sentiment Triplet Extraction. | Kun Peng, Chaodong Tong, Cong Cao, Hao Peng, Qian Li, Guanlin Wu, Lei Jiang, Yanbing Liu, Philip S. Yu |
| 2025 | IJCAI | A Survey of Structural Entropy: Theory, Methods, and Applications. | Dingli Su, Hao Peng, Yicheng Pan, Angsheng Li |
| 2025 | IJCAI | STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation. | Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu |
| 2025 | KDD | Global Interpretable Graph-level Anomaly Detection via Prototype. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Hao Peng, Quan Z. Sheng |
| 2025 | KDD | Robustness Evaluation of Graph-based News Detection Using Network Structural Information. | Xianghua Zeng, Hao Peng, Angsheng Li |
| 2025 | KDD | Unsupervised Graph Clustering with Deep Structural Entropy. | Jingyun Zhang, Hao Peng, Li Sun, Guanlin Wu, Chunyang Liu, Zhengtao Yu |
| 2025 | PCS | Effective Patch Extraction and Multi-Round Prediction for Codec-Agnostic Lenslet Video Coding. | Ruibo Zhao, Hao Peng, Xin Jin |
| 2025 | SIGGRAPH | MIND: Microstructure INverse Design with Generative Hybrid Neural Representation. | Tianyang Xue, Longdu Liu, Lin Lu, Paul Henderson, Pengbin Tang, Haochen Li, Jikai Liu, Haisen Zhao, Hao Peng, Bernd Bickel |
| 2025 | WWW | RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry. | Li Sun, Zhenhao Huang, Suyang Zhou, Qiqi Wan, Hao Peng, Philip S. Yu |
| 2025 | WWW | Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems. | Yuwei Cao, Liangwei Yang, Zhiwei Liu, Yuqing Liu, Chen Wang, Yueqing Liang, Hao Peng, Philip S. Yu |
| 2025 | WWW | An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking. | Xuanlin Li, Xiangyu Cai, Hao Peng, Jia Duan, Wei Wang, Zehua Zhang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao |
| 2025 | WWW | Community Detection in Large-Scale Complex Networks via Structural Entropy Game. | Yantuan Xian, Pu Li, Hao Peng, Zhengtao Yu, Yan Xiang, Philip S. Yu |
| 2025 | WWW | Training Large Recommendation Models via Graph-Language Tokens Alignment. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2025 | SIGIR | Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate Prediction. | Xuan Ma, Hao Peng, Jia Duan, Zhanhao Ye, Langlang Ye, Zehua Zhang, Jie He, Changping Peng, Zhangang Lin |
| 2025 | VCIP | Codec-agnostic Lenslet Video Coding with Edge Pixel Estimation and Optimization. | Hao Peng, Zhuo Tan, Xin Jin |
| 2025 | SDM | Emergence of Cooperation in Multi-Agent Reinforcement Learning via Coalition Labeling and Structural Entropy. | Dingli Su, Hao Peng, Guangjie Zeng, Pu Li, Angsheng Li, Yicheng Pan |
| 2025 | SDM | Hierarchical Superpixel Segmentation via Structural Information Theory. | Minhui Xie, Hao Peng, Pu Li, Guangjie Zeng, Shuhai Wang, Jia Wu, Peng Li, Philip S. Yu |
| 2024 | AAAI | Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection. | Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2024 | AAAI | AMD: Autoregressive Motion Diffusion. | Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu |
| 2024 | AAAI | ReGCL: Rethinking Message Passing in Graph Contrastive Learning. | Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li |
| 2024 | AAAI | Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning. | Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu |
| 2024 | AAAI | Poincar Differential Privacy for Hierarchy-Aware Graph Embedding. | Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu |
| 2024 | AAAI | Adversarial Socialbots Modeling Based on Structural Information Principles. | Xianghua Zeng, Hao Peng, Angsheng Li |
| 2024 | ACL | MAVEN-ARG: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation. | Xiaozhi Wang, Hao Peng, Yong Guan, Kaisheng Zeng, Jianhui Chen, Lei Hou, Xu Han, Yankai Lin, Zhiyuan Liu, Ruobing Xie, Jie Zhou, Juanzi Li |
| 2024 | ACL | ActionIE: Action Extraction from Scientific Literature with Programming Languages. | Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, Jiawei Han |
| 2024 | ADMA | A Transformer Based Malicious Traffic Detection Method in Android Mobile Networks. | Yuhao Sun, Hao Peng, Yingjun Chen, Botao Jiang, Shuhai Wang, Yongxin Qiu, Hongkun Wang, Xiong Li |
| 2024 | CHI | pic2eat: Facilitating Social Ice-breaking through Collaborative Design of 3D Printed Appetizer. | Hongyue Wang, Jialin Deng, Aravind Mohan, Yinyi Li, Hao Peng, Linjia He, Don Samitha Elvitigala, Florian 'Floyd' Mueller |
| 2024 | CIKM | Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis. | Zhe Liu, Xiang Huang, Jingyun Zhang, Zhifeng Hao, Li Sun, Hao Peng |
| 2024 | CIKM | Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction. | Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng |
| 2024 | CIKM | A Mixed-Curvature Graph Diffusion Model. | Yujie Wang, Shuo Zhang, Junda Ye, Hao Peng, Li Sun |
| 2024 | CIKM | Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection. | Zhiwei Yang, Yuecen Wei, Haoran Li, Qian Li, Lei Jiang, Li Sun, Xiaoyan Yu, Chunming Hu, Hao Peng |
| 2024 | CIKM | DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism. | Xiaoyan Yu, Yifan Wei, Pu Li, Shuaishuai Zhou, Hao Peng, Li Sun, Liehuang Zhu, Philip S. Yu |
| 2024 | CIKM | A Structural Information Guided Hierarchical Reconstruction for Graph Anomaly Detection. | Dongcheng Zou, Hao Peng, Chunyang Liu |
| 2024 | CVPR | M&M VTO: Multi-Garment Virtual Try-On and Editing. | Luyang Zhu, Yingwei Li, Nan Liu, Hao Peng, Dawei Yang, Ira Kemelmacher-Shlizerman |
| 2024 | EMNLP | Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals. | Yanai Elazar, Bhargavi Paranjape, Hao Peng, Sarah Wiegreffe, Khyathi Raghavi Chandu, Vivek Srikumar, Sameer Singh, Noah A. Smith |
| 2024 | EMNLP | MAVEN-FACT: A Large-scale Event Factuality Detection Dataset. | Chunyang Li, Hao Peng, Xiaozhi Wang, Yunjia Qi, Lei Hou, Bin Xu, Juanzi Li |
| 2024 | EMNLP | ADELIE: Aligning Large Language Models on Information Extraction. | Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li |
| 2024 | EMNLP | Neeko: Leveraging Dynamic LoRA for Efficient Multi-Character Role-Playing Agent. | Xiaoyan Yu, Tongxu Luo, Yifan Wei, Fangyu Lei, Yiming Huang, Hao Peng, Liehuang Zhu |
| 2024 | ICLR | MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback. | Xingyao Wang, Zihan Wang, Jiateng Liu, Yangyi Chen, Lifan Yuan, Hao Peng, Heng Ji |
| 2024 | ICLR | TRAM: Bridging Trust Regions and Sharpness Aware Minimization. | Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng |
| 2024 | ICLR | CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets. | Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji |
| 2024 | ICLR | KoLA: Carefully Benchmarking World Knowledge of Large Language Models. | Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li |
| 2024 | ICML | LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering. | Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu |
| 2024 | ICML | Hyperbolic Geometric Latent Diffusion Model for Graph Generation. | Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li |
| 2024 | ICML | Data Engineering for Scaling Language Models to 128K Context. | Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng |
| 2024 | ICML | Executable Code Actions Elicit Better LLM Agents. | Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji |
| 2024 | ICONIP | SegDaemon: Actively Protecting Semantic Segmentation Models Against Intellectual Property Infringement. | Ge Ren, Gaolei Li, Bo Zhang, Xiaoyang Jiang, Shiyong Qiu, Liangjie Liu, Wei Du, Shuilin Li, Hao Peng, Shenghong Li |
| 2024 | IJCAI | Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. | Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou |
| 2024 | IVCNZ | Robust 360° Visual Tracking with Dynamic Gnomonic Projection. | Hao Peng, Fang-Lue Zhang |
| 2024 | KDD | SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection. | Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao |
| 2024 | NAACL | Language Models Hallucinate, but May Excel at Fact Verification. | Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng |
| 2024 | NAACL | LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models. | Chi Han, Qifan Wang, Hao Peng, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang |
| 2024 | NAACL | LETI: Learning to Generate from Textual Interactions. | Xingyao Wang, Hao Peng, Reyhaneh Jabbarvand, Heng Ji |
| 2024 | WWW | RicciNet: Deep Clustering via A Riemannian Generative Model. | Li Sun, Jingbin Hu, Suyang Zhou, Zhenhao Huang, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2024 | WWW | Event GDR: Event-Centric Generative Document Retrieval. | Yong Guan, Dingxiao Liu, Jinchen Ma, Hao Peng, Xiaozhi Wang, Lei Hou, Ru Li |
| 2024 | SIGIR | R-ODE: Ricci Curvature Tells When You Will be Informed. | Li Sun, Jingbin Hu, Mengjie Li, Hao Peng |
| 2024 | SIGIR | Instruction-based Hypergraph Pretraining. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | UAI | Multi-Relational Structural Entropy. | Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu |
| 2024 | WSDM | Knowledge Graph Context-Enhanced Diversified Recommendation. | Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | WSDM | Unified Pretraining for Recommendation via Task Hypergraphs. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | WSDM | RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis. | Xusheng Zhao, Hao Peng, Qiong Dai, Xu Bai, Huailiang Peng, Yanbing Liu, Qinglang Guo, Philip S. Yu |
| 2024 | WSDM | MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization. | Dongcheng Zou, Senzhang Wang, Xuefeng Li, Hao Peng, Yuandong Wang, Chunyang Liu, Kehua Sheng, Bo Zhang |
| 2024 | SDM | Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction. | Kun Peng, Lei Jiang, Hao Peng, Rui Liu, Zhengtao Yu, Jiaqian Ren, Zhifeng Hao, Philip S. Yu |
| 2024 | SDM | Semi-Supervised Clustering via Structural Entropy with Different Constraints. | Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Runze Yang, Chunyang Liu, Lifang He |
| 2023 | AAAI | Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information. | Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu |
| 2023 | AAAI | Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces. | Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu |
| 2023 | AAAI | Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles. | Xianghua Zeng, Hao Peng, Angsheng Li |
| 2023 | ACL | The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation. | Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, Weixing Shen |
| 2023 | CIKM | Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | ECAI | Stock Movement Prediction via Attention-Aware Multi-Order Relation Graph Neural Network. | Hao Peng, Jie Yang |
| 2023 | EMNLP | OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding. | Hao Peng, Xiaozhi Wang, Feng Yao, Zimu Wang, Chuzhao Zhu, Kaisheng Zeng, Lei Hou, Juanzi Li |
| 2023 | ICDM | DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing. | Li Sun, Zhenhao Huang, Hua Wu, Junda Ye, Hao Peng, Zhengtao Yu, Philip S. Yu |
| 2023 | ICDM | Unsupervised Skin Lesion Segmentation via Structural Entropy Minimization on Multi-Scale Superpixel Graphs. | Guangjie Zeng, Hao Peng, Angsheng Li, Zhiwei Liu, Chunyang Liu, Philip S. Yu, Lifang He |
| 2023 | ICLR | Complexity-Based Prompting for Multi-step Reasoning. | Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot |
| 2023 | ICML | Specializing Smaller Language Models towards Multi-Step Reasoning. | Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot |
| 2023 | ICMLC | A Perspective Survey on Industrial Knowledge Graphs: Recent Advances, Open Challenges, and Future Directions. | Yuhu Shang, Yimeng Ren, Hao Peng, Yue Wang, Gang Wang, Zhong Cheng Li, Yangzhao Yang, Yangyang Li |
| 2023 | IJCAI | CONGREGATE: Contrastive Graph Clustering in Curvature Spaces. | Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu |
| 2023 | IJCAI | Hierarchical State Abstraction based on Structural Information Principles. | Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu |
| 2023 | MMM | Dynamic-Static Cross Attentional Feature Fusion Method for Speech Emotion Recognition. | Ke Dong, Hao Peng, Jie Che |
| 2023 | RecSys | Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation. | Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu |
| 2023 | WWW | Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. | Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu |
| 2023 | WWW | Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification. | Xingcheng Fu, Yuecen Wei, Qingyun Sun, Haonan Yuan, Jia Wu, Hao Peng, Jianxin Li |
| 2023 | WWW | FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection. | Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou |
| 2023 | WWW | SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization. | Dongcheng Zou, Hao Peng, Xiang Huang, Renyu Yang, Jianxin Li, Jia Wu, Chunyang Liu, Philip S. Yu |
| 2023 | SIGIR | Graph Collaborative Signals Denoising and Augmentation for Recommendation. | Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu |
| 2023 | WSDM | Unbiased and Efficient Self-Supervised Incremental Contrastive Learning. | Cheng Ji, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Qingyun Sun, Philip S. Yu |
| 2023 | WSDM | Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2023 | WSDM | Minimum Entropy Principle Guided Graph Neural Networks. | Zhenyu Yang, Ge Zhang, Jia Wu, Jian Yang, Quan Z. Sheng, Hao Peng, Angsheng Li, Shan Xue, Jianlin Su |
| 2023 | SDM | Reinforcement Learning Guided Multi-Objective Exam Paper Generation. | Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang |
| 2023 | SecureComm | An Adaptive Authentication Protocol for Internet of Vehicles Based on Vehicle Density. | Hao Peng, Zisang Xu, Ruirui Zhang, Jianbo Xu |
| 2022 | AAAI | Graph Structure Learning with Variational Information Bottleneck. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu |
| 2022 | AAAI | A Self-Supervised Mixed-Curvature Graph Neural Network. | Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu |
| 2022 | ACL | ABC: Attention with Bounded-memory Control. | Hao Peng, Jungo Kasai, Nikolaos Pappas, Dani Yogatama, Zhaofeng Wu, Lingpeng Kong, Roy Schwartz, Noah A. Smith |
| 2022 | ACL | Tailor: Generating and Perturbing Text with Semantic Controls. | Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner |
| 2022 | CIKM | A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning. | Li Sun, Junda Ye, Hao Peng, Philip S. Yu |
| 2022 | CIKM | From Known to Unknown: Quality-aware Self-improving Graph Neural Network For Open Set Social Event Detection. | Jiaqian Ren, Lei Jiang, Hao Peng, Yuwei Cao, Jia Wu, Philip S. Yu, Lifang He |
| 2022 | CIKM | Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees. | Jiaqian Ren, Lei Jiang, Hao Peng, Lingjuan Lyu, Zhiwei Liu, Chaochao Chen, Jia Wu, Xu Bai, Philip S. Yu |
| 2022 | CIKM | Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing. | Qingyun Sun, Jianxin Li, Haonan Yuan, Xingcheng Fu, Hao Peng, Cheng Ji, Qian Li, Philip S. Yu |
| 2022 | CIKM | Automating DBSCAN via Deep Reinforcement Learning. | Ruitong Zhang, Hao Peng, Yingtong Dou, Jia Wu, Qingyun Sun, Yangyang Li, Jingyi Zhang, Philip S. Yu |
| 2022 | EMNLP | How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers. | Michael Hassid, Hao Peng, Daniel Rotem, Jungo Kasai, Ivan Montero, Noah A. Smith, Roy Schwartz |
| 2022 | EMNLP | Twist Decoding: Diverse Generators Guide Each Other. | Jungo Kasai, Keisuke Sakaguchi, Ronan Le Bras, Hao Peng, Ximing Lu, Dragomir Radev, Yejin Choi, Noah A. Smith |
| 2022 | EMNLP | COPEN: Probing Conceptual Knowledge in Pre-trained Language Models. | Hao Peng, Xiaozhi Wang, Shengding Hu, Hailong Jin, Lei Hou, Juanzi Li, Zhiyuan Liu, Qun Liu |
| 2022 | EMNLP | MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction. | Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, Peng Li, Jie Zhou |
| 2022 | EMNLP | Modeling Context With Linear Attention for Scalable Document-Level Translation. | Zhaofeng Wu, Hao Peng, Nikolaos Pappas, Noah A. Smith |
| 2022 | ICDM | DAGAD: Data Augmentation for Graph Anomaly Detection. | Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal |
| 2022 | ICDM | HiGIL: Hierarchical Graph Inference Learning for Fact Checking. | Qianren Mao, Yiming Wang, Chenghong Yang, Linfeng Du, Hao Peng, Jia Wu, Jianxin Li, Zheng Wang |
| 2022 | ICDM | Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation. | Yuecen Wei, Xingcheng Fu, Qingyun Sun, Hao Peng, Jia Wu, Jinyan Wang, Xianxian Li |
| 2022 | IJCNN | Feedforward Neural Network Reconstructed from High-order Quantum Systems. | Junwei Zhang, Zhao Li, Hao Peng, Ming Li, Xiaofen Wang |
| 2022 | INFOCOM | Remote Meter Reading based on Lightweight Edge Devices. | Ziwei Liu, Lei Xie, Jingyi Ning, Ming Zhao, Liming Wang, Hao Peng |
| 2022 | ICWS | Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory. | Jiaqian Ren, Lei Jiang, Hao Peng, Zhiwei Liu, Jia Wu, Philip S. Yu |
| 2022 | NAACL | XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction. | Yuwei Cao, William Groves, Tanay Kumar Saha, Joel R. Tetreault, Alejandro Jaimes, Hao Peng, Philip S. Yu |
| 2022 | WWW | Sequential Recommendation via Stochastic Self-Attention. | Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu |
| 2022 | WWW | Curvature Graph Generative Adversarial Networks. | Jianxin Li, Xingcheng Fu, Qingyun Sun, Cheng Ji, Jiajun Tan, Jia Wu, Hao Peng |
| 2022 | WWW | Towards Unsupervised Deep Graph Structure Learning. | Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan |
| 2022 | SIGIR | MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. | Qianren Mao, Hongdong Zhu, Junnan Liu, Cheng Ji, Hao Peng, Jianxin Li, Lihong Wang, Zheng Wang |
| 2021 | AAAI | KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. | Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu |
| 2021 | AAAI | Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs. | Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu |
| 2021 | AAAI | Adversarial Directed Graph Embedding. | Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He |
| 2021 | CIKM | Graph-based Semi-Supervised Learning by Strengthening Local Label Consistency. | Chen Li, Xutan Peng, Hao Peng, Jia Wu, Lihong Wang, Philip S. Yu, Jianxin Li, Lichao Sun |
| 2021 | CIKM | Differentially Private Federated Knowledge Graphs Embedding. | Hao Peng, Haoran Li, Yangqiu Song, Vincent W. Zheng, Jianxin Li |
| 2021 | DASFAA | KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. | Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen |
| 2021 | EMNLP | Finetuning Pretrained Transformers into RNNs. | Jungo Kasai, Hao Peng, Yizhe Zhang, Dani Yogatama, Gabriel Ilharco, Nikolaos Pappas, Yi Mao, Weizhu Chen, Noah A. Smith |
| 2021 | ICDM | ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network. | Xingcheng Fu, Jianxin Li, Jia Wu, Qingyun Sun, Cheng Ji, Senzhang Wang, Jiajun Tan, Hao Peng, Philip S. Yu |
| 2021 | ICLR | Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation. | Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith |
| 2021 | ICLR | Random Feature Attention. | Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah A. Smith, Lingpeng Kong |
| 2021 | IJCAI | TextGTL: Graph-based Transductive Learning for Semi-supervised Text Classification via Structure-Sensitive Interpolation. | Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang |
| 2021 | IJCAI | Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks. | Gongxu Luo, Jianxin Li, Hao Peng, Carl Yang, Lichao Sun, Philip S. Yu, Lifang He |
| 2021 | NAACL | HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization. | Zhongfen Deng, Hao Peng, Dongxiao He, Jianxin Li, Philip S. Yu |
| 2021 | NAACL | Contextualized Perturbation for Textual Adversarial Attack. | Dianqi Li, Yizhe Zhang, Hao Peng, Liqun Chen, Chris Brockett, Ming-Ting Sun, Bill Dolan |
| 2021 | WWW | Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs. | Yuwei Cao, Hao Peng, Jia Wu, Yingtong Dou, Jianxin Li, Philip S. Yu |
| 2021 | WWW | SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism. | Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Yuanxing Ning, Philip S. Yu, Lifang He |
| 2020 | AAAI | Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification. | Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He |
| 2020 | ACL | A Mixture of h - 1 Heads is Better than h Heads. | Hao Peng, Roy Schwartz, Dianqi Li, Noah A. Smith |
| 2020 | CIKM | Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters. | Yingtong Dou, Zhiwei Liu, Li Sun, Yutong Deng, Hao Peng, Philip S. Yu |
| 2020 | COLING | Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation. | Zhongfen Deng, Hao Peng, Congying Xia, Jianxin Li, Lifang He, Philip S. Yu |
| 2020 | CVPR | NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image. | Boaz Arad, Radu Timofte, Ohad Ben-Shahar, Yi-Tun Lin, Graham D. Finlayson, Shai Givati, Jiaojiao Li, Chaoxiong Wu, Rui Song, Yunsong Li, Fei Liu, Zhiqiang Lang, Wei Wei, Lei Zhang, Jiangtao Nie, Yuzhi Zhao, Lai-Man Po, Qiong Yan, Wei Liu, Tingyu Lin, Youngjung Kim, Changyeop Shin, Kyeongha Rho, Sungho Kim, Zhiyu Zhu, Junhui Hou, He Sun, Jinchang Ren, Zhenyu Fang, Yijun Yan, Hao Peng, Xiaomei Chen, Jie Zhao, Tarek Stiebel, Simon Koppers, Dorit Merhof, Honey Gupta, Kaushik Mitra, Biebele Joslyn Fubara, Mohamed H. Sedky, Dave Dyke, Atmadeep Banerjee, Akash Palrecha, Sabarinathan sabarinathan, K. Uma, D. Synthiya Vinothini, B. Sathya Bama, S. M. Md Mansoor Roomi |
| 2020 | CVPR | Residual Pixel Attention Network for Spectral Reconstruction from RGB Images. | Hao Peng, Xiaomei Chen, Jie Zhao |
| 2020 | EMNLP | Learning from Context or Names? An Empirical Study on Neural Relation Extraction. | Hao Peng, Tianyu Gao, Xu Han, Yankai Lin, Peng Li, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2020 | ICDM | Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks. | Qingyun Sun, Hao Peng, Jianxin Li, Senzhang Wang, Xiangyu Dong, Liangxuan Zhao, Philip S. Yu, Lifang He |
| 2020 | IJCNLP | More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction. | Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Jie Zhou, Maosong Sun |
| 2020 | KDD | Category-Specific CNN for Visual-aware CTR Prediction at JD.com. | Hu Liu, Jing Lu, Hao Yang, Xiwei Zhao, Sulong Xu, Hao Peng, Zehua Zhang, Wenjie Niu, Xiaokun Zhu, Yongjun Bao, Weipeng Yan |
| 2020 | PAKDD | Multi-information Source HIN for Medical Concept Embedding. | Yuwei Cao, Hao Peng, Philip S. Yu |
| 2020 | SIGIR | Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. | Jibing Gong, Shen Wang, Jinlong Wang, Wenzheng Feng, Hao Peng, Jie Tang, Philip S. Yu |
| 2020 | SIGIR | Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection. | Zhiwei Liu, Yingtong Dou, Philip S. Yu, Yutong Deng, Hao Peng |
| 2019 | CIKM | HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding. | Yu He, Yangqiu Song, Jianxin Li, Cheng Ji, Jian Peng, Hao Peng |
| 2019 | CVPR | Understanding Beauty via Deep Facial Features. | Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang |
| 2019 | EMNLP | RNN Architecture Learning with Sparse Regularization. | Jesse Dodge, Roy Schwartz, Hao Peng, Noah A. Smith |
| 2019 | EMNLP | PaLM: A Hybrid Parser and Language Model. | Hao Peng, Roy Schwartz, Noah A. Smith |
| 2019 | ICPADS | Integration of UAV and Fog-Enabled Vehicle: Application in Post-Disaster Relief. | Chaogang Tang, Chunsheng Zhu, Xianglin Wei, Hao Peng, Yi Wang |
| 2019 | IJCAI | Aspect-Based Sentiment Classification with Attentive Neural Turing Machines. | Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang |
| 2019 | IJCAI | Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks. | Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu |
| 2019 | IJCNN | Learning Semantic Coherence for Machine Generated Spam Text Detection. | Mengjiao Bao, Jianxin Li, Jian Zhang, Hao Peng, Xudong Liu |
| 2019 | NAACL | Text Generation with Exemplar-based Adaptive Decoding. | Hao Peng, Ankur P. Parikh, Manaal Faruqui, Bhuwan Dhingra, Dipanjan Das |
| 2019 | WWW | Event-Driven Analysis of Crowd Dynamics in the Black Lives Matter Online Social Movement. | Hao Peng, Ceren Budak, Daniel M. Romero |
| 2019 | WISE | Bibliographic Name Disambiguation with Graph Convolutional Network. | Hao Yan, Hao Peng, Chen Li, Jianxin Li, Lihong Wang |
| 2018 | ACL | Backpropagating through Structured Argmax using a SPIGOT. | Hao Peng, Sam Thomson, Noah A. Smith |
| 2018 | BMVC | ESTHER: Extremely Simple Image Translation Through Self-Regularization. | Chao Yang, Taehwan Kim, Ruizhe Wang, Hao Peng, C.-C. Jay Kuo |
| 2018 | EMNLP | Rational Recurrences. | Hao Peng, Roy Schwartz, Sam Thomson, Noah A. Smith |
| 2018 | ICMLC | A Two-Step Choice Privacy-Preservation Method for Check-in Data Publishing. | Yang Zhao, Jianmin Han, Jianfeng Lu, Hao Peng, Zhao-Long Hu, Li-Xia Wang |
| 2018 | IJCAI | Time-evolving Text Classification with Deep Neural Networks. | Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng |
| 2018 | NAACL | Learning Joint Semantic Parsers from Disjoint Data. | Hao Peng, Sam Thomson, Swabha Swayamdipta, Noah A. Smith |
| 2018 | WWW | Large-Scale Hierarchical Text Classification with Recursively Regularized Deep Graph-CNN. | Hao Peng, Jianxin Li, Yu He, Yaopeng Liu, Mengjiao Bao, Lihong Wang, Yangqiu Song, Qiang Yang |
| 2018 | WWW | "You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates. | Chenhao Tan, Hao Peng, Noah A. Smith |
| 2018 | UIC | Incentive Mechanism for User Collaboration on Trajectory Privacy Preservation. | Mengqi Gao, Jianmin Han, Jianfeng Lu, Hao Peng, Zhao-Long Hu |
| 2018 | UIC | Graph CNNs for Urban Traffic Passenger Flows Prediction. | Jing Li, Hao Peng, Lin Liu, Guixi Xiong, Bowen Du, Hongyuan Ma, Lihong Wang, Md. Zakirul Alam Bhuiyan |
| 2018 | UIC | Deep Convolutional Mesh RNN for Urban Traffic Passenger Flows Prediction. | Zou Zhene, Hao Peng, Liu Lin, Guixi Xiong, Bowen Du, Md. Zakirul Alam Bhuiyan, Yuntao Long, Da Li |
| 2017 | AAAI | Incrementally Learning the Hierarchical Softmax Function for Neural Language Models. | Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu |
| 2017 | ACL | Deep Multitask Learning for Semantic Dependency Parsing. | Hao Peng, Sam Thomson, Noah A. Smith |
| 2017 | BigData | Adding Support for Theory in Open Science Big Data. | John A. Miller, Hao Peng, Michael E. Cotterell |
| 2017 | BigData | Bayesian Networks with Structural Restrictions: Parallelization, Performance, and Efficient Cross-Validation. | Hao Peng, Zhe Jin, John A. Miller |
| 2017 | EMNLP | Semi-supervised Structured Prediction with Neural CRF Autoencoder. | Xiao Zhang, Yong Jiang, Hao Peng, Kewei Tu, Dan Goldwasser |
| 2017 | ICDM | Performance Dynamics and Success in Online Games. | Anna Sapienza, Hao Peng, Emilio Ferrara |
| 2017 | ICML | Asynchronous Distributed Variational Gaussian Process for Regression. | Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi |
| 2017 | ICWSM | Recognizing Pathogenic Empathy in Social Media. | Muhammad Abdul-Mageed, Anneke Buffone, Hao Peng, Johannes C. Eichstaedt, Lyle H. Ungar |
| 2017 | WSC | Advanced tutorial on microscopic discrete-event traffic simulation. | John A. Miller, Hao Peng, Casey N. Bowman |
| 2017 | SERVICES | Adding Support for Theory in Open Science Big Data. | John A. Miller, Hao Peng, Michael E. Cotterell |
| 2016 | ACL | News Citation Recommendation with Implicit and Explicit Semantics. | Hao Peng, Jing Liu, Chin-Yew Lin |
| 2016 | ICML | A Convolutional Attention Network for Extreme Summarization of Source Code. | Miltiadis Allamanis, Hao Peng, Charles Sutton |
| 2016 | TrustCom | The Health Care Fraud Detection Using the Pharmacopoeia Spectrum Tree and Neural Network Analytic Contribution Hierarchy Process. | Hao Peng, Mengzhuo You |
| 2015 | EMNLP | Discriminative Neural Sentence Modeling by Tree-Based Convolution. | Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin |
| 2015 | EMNLP | A Comparative Study on Regularization Strategies for Embedding-based Neural Networks. | Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin |
| 2015 | EMNLP | Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths. | Yan Xu, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin |
| 2015 | IJCAI | EigenGP: Gaussian Process Models with Adaptive Eigenfunctions. | Hao Peng, Yuan Qi |
| 2015 | KSEM | Building Program Vector Representations for Deep Learning. | Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang, Zhi Jin |
| 2015 | UIC | (C, K)m-Anonymity: A Model to Resist Sub-trajectory Linkage Attacks. | Hui Guo, Jianmin Han, Jianfeng Lu, Hao Peng, Changbin Tang |
| 2014 | IECON | An optimized modulation method tor full-bridge/push-pull bi-directional DC-DC converter with wide-range ZVS and reduced spike voltage. | Guipeng Chen, Yan Deng, Hao Peng, Xiangning He, Yousheng Wang |
| 2013 | MICCAI | Global Colon Geometric Structure Analysis Based on Geodesics and Conformal Flattening. | Hao Peng, Rui Shi, Shi-Qing Xin, Xianfeng Gu |
| 2013 | MICCAI | A Novel Computer Aided Detection (CADe) Scheme for Colonic Polyps Based on the Structure Decomposition. | Huafeng Wang, Lihong Li, Hao Peng, Hao Han, Bowen Song, Yunhong Wang, Xianfeng Gu, Zhengrong Liang |
| 2013 | MICCAI | A 2.5D Colon Wall Flattening Model for CT-Based Virtual Colonoscopy. | Huafeng Wang, Lihong Li, Hao Han, Rui Shi, Bowen Song, Hao Peng, Yan Liu, Xianfeng Gu, Yunhong Wang, Zhengrong Liang |
| 2012 | CCS | Using probabilistic generative models for ranking risks of Android apps. | Hao Peng, Christopher S. Gates, Bhaskar Pratim Sarma, Ninghui Li, Yuan Qi, Rahul Potharaju, Cristina Nita-Rotaru, Ian M. Molloy |