Peng, Hao

90 publications

ICLR 2025 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

IJCAI 2025 A Survey of Structural Entropy: Theory, Methods, and Applications Dingli Su, Hao Peng, Yicheng Pan, Angsheng Li

NeurIPS 2025 AGENTIF: Benchmarking Large Language Models Instruction Following Ability in Agentic Scenarios Yunjia Qi, Hao Peng, Xiaozhi Wang, Amy Xin, Youfeng Liu, Bin Xu, Lei Hou, Juanzi Li

ICLR 2025 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

NeurIPS 2025 CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment Qinfeng Li, Tianyue Luo, Xuhong Zhang, Yangfan Xie, Zhiqiang Shen, Lijun Zhang, Yier Jin, Hao Peng, Xinkui Zhao, XianWei Zhu, Jianwei Yin

ICLR 2025 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

ICML 2025 Free Process Rewards Without Process Labels Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

JMLR 2025 Hierarchical Decision Making Based on Structural Information Principles Xianghua Zeng, Hao Peng, Dingli Su, Angsheng Li

ICLR 2025 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

AAAI 2025 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

ICLRW 2025 Improving Influence-Based Instruction Tuning Data Selection for Balanced Learning of Diverse Capabilities Qirun Dai, Dylan Zhang, Jiaqi W. Ma, Hao Peng

IJCAI 2025 Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu

ICLR 2025 OpenHands: An Open Platform for AI Software Developers as Generalist Agents Xingyao Wang, Boxuan Li, Yufan Song, Frank F. Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, Hoang H. Tran, Fuqiang Li, Ren Ma, Mingzhang Zheng, Bill Qian, Yanjun Shao, Niklas Muennighoff, Yizhe Zhang, Binyuan Hui, Junyang Lin, Robert Brennan, Hao Peng, Heng Ji, Graham Neubig

AAAI 2025 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

AAAI 2025 Prompt-Based Unifying Inference Attack on Graph Neural Networks Yuecen Wei, Xingcheng Fu, Lingyun Liu, Qingyun Sun, Hao Peng, Chunming Hu

NeurIPS 2025 Reinforcement Learning Finetunes Small Subnetworks in Large Language Models Sagnik Mukherjee, Lifan Yuan, Dilek Hakkani-Tür, Hao Peng

ICLR 2025 Retrieval Head Mechanistically Explains Long-Context Factuality Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu

ICLRW 2025 S2-Attention: Hardware-Aware Context Sharding Among Attention Heads Xihui Lin, Yunan Zhang, Suyu Ge, Liliang Ren, Barun Patra, Vishrav Chaudhary, Hao Peng, Xia Song

IJCAI 2025 STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation Yiming Wang, Hao Peng, Senzhang Wang, Haohua Du, Chunyang Liu, Jia Wu, Guanlin Wu

IJCAI 2025 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

ICLR 2025 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

IJCAI 2025 SetKE: Knowledge Editing for Knowledge Elements Overlap Yifan Wei, Xiaoyan Yu, Ran Song, Hao Peng, Angsheng Li

AAAI 2025 Structural Entropy Guided Probabilistic Coding Xiang Huang, Hao Peng, Li Sun, Hui Lin, Chunyang Liu, Jiang Cao, Philip S. Yu

NeurIPS 2025 Structural Information-Based Hierarchical Diffusion for Offline Reinforcement Learning Xianghua Zeng, Hao Peng, Yicheng Pan, Angsheng Li, Guanlin Wu

IJCAI 2025 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

NeurIPS 2025 The Best Instruction-Tuning Data Are Those That Fit Dylan Zhang, Qirun Dai, Hao Peng

NeurIPS 2025 The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning Shivam Agarwal, Zimin Zhang, Lifan Yuan, Jiawei Han, Hao Peng

AAAI 2025 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

TMLR 2024 A Single Transformer for Scalable Vision-Language Modeling Yangyi Chen, Xingyao Wang, Hao Peng, Heng Ji

AAAI 2024 AMD: Autoregressive Motion Diffusion Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu

ICMLW 2024 Advancing LLM Reasoning Generalists with Preference Trees Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

AAAI 2024 Adversarial Socialbots Modeling Based on Structural Information Principles Xianghua Zeng, Hao Peng, Angsheng Li

ICLR 2024 CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji

ICML 2024 Data Engineering for Scaling Language Models to 128k Context Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng

IJCAI 2024 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

NeurIPS 2024 Effective Exploration Based on the Structural Information Principles Xianghua Zeng, Hao Peng, Angsheng Li

NeurIPSW 2024 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

ICML 2024 Executable Code Actions Elicit Better LLM Agents Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

ICLRW 2024 Executable Code Actions Elicit Better LLM Agents Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji

NeurIPS 2024 GC-Bench: An Open and Unified Benchmark for Graph Condensation Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu, Sheng Zhou, Hao Peng, Jianxin Li, Philip S. Yu

AAAI 2024 Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu

ICML 2024 Hyperbolic Geometric Latent Diffusion Model for Graph Generation Xingcheng Fu, Yisen Gao, Yuecen Wei, Qingyun Sun, Hao Peng, Jianxin Li, Xianxian Li

ICLR 2024 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, Xu Bin, Jie Tang, Juanzi Li

ICML 2024 LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering Li Sun, Zhenhao Huang, Hao Peng, Yujie Wang, Chunyang Liu, Philip S. Yu

CVPR 2024 M&M VTO: Multi-Garment Virtual Try-on and Editing Luyang Zhu, Yingwei Li, Nan Liu, Hao Peng, Dawei Yang, Ira Kemelmacher-Shlizerman

ICLR 2024 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

AAAI 2024 Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng, Philip S. Yu

UAI 2024 Multi-Relational Structural Entropy Yuwei Cao, Hao Peng, Angsheng Li, Chenyu You, Zhifeng Hao, Philip S. Yu

AAAI 2024 Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng, Xianxian Li, Chunming Hu

MLOSS 2024 PyGOD: A Python Library for Graph Outlier Detection Kay Liu, Yingtong Dou, Xueying Ding, Xiyang Hu, Ruitong Zhang, Hao Peng, Lichao Sun, Philip S. Yu

AAAI 2024 ReGCL: Rethinking Message Passing in Graph Contrastive Learning Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu, Qian Li, Jianxin Li

NeurIPS 2024 SciCode: A Research Coding Benchmark Curated by Scientists Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu Huerta, Hao Peng

ICLRW 2024 Source-Aware Training Enables Knowledge Attribution in Language Models Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng

NeurIPS 2024 Spiking Graph Neural Network on Riemannian Manifolds Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S. Yu

ICLR 2024 TRAM: Bridging Trust Regions and Sharpness Aware Minimization Tom Sherborne, Naomi Saphra, Pradeep Dasigi, Hao Peng

IJCAI 2023 CONGREGATE: Contrastive Graph Clustering in Curvature Spaces Li Sun, Feiyang Wang, Junda Ye, Hao Peng, Philip S. Yu

ICMLW 2023 Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models’ Reasoning Performance Yao Fu, Litu Ou, Yuhao Wan, Mingyu Chen, Hao Peng, Tushar Khot

ICLR 2023 Complexity-Based Prompting for Multi-Step Reasoning Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot

AAAI 2023 Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles Xianghua Zeng, Hao Peng, Angsheng Li

NeurIPS 2023 Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji, Hao Peng, Jianxin Li

NeurIPS 2023 FedFed: Feature Distillation Against Data Heterogeneity in Federated Learning Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han

IJCAI 2023 Hierarchical State Abstraction Based on Structural Information Principles Xianghua Zeng, Hao Peng, Angsheng Li, Chunyang Liu, Lifang He, Philip S. Yu

AAAI 2023 Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information Qingyun Sun, Jianxin Li, Beining Yang, Xingcheng Fu, Hao Peng, Philip S. Yu

AAAI 2023 Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun, Junda Ye, Hao Peng, Feiyang Wang, Philip S. Yu

ICML 2023 Specializing Smaller Language Models Towards Multi-Step Reasoning Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot

AAAI 2022 A Self-Supervised Mixed-Curvature Graph Neural Network Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S. Yu

NeurIPS 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs Kay Liu, Yingtong Dou, Yue Zhao, Xueying Ding, Xiyang Hu, Ruitong Zhang, Kaize Ding, Canyu Chen, Hao Peng, Kai Shu, Lichao Sun, Jundong Li, George H Chen, Zhihao Jia, Philip S Yu

NeurIPS 2022 Dual-Discriminative Graph Neural Network for Imbalanced Graph-Level Anomaly Detection Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Jianlin Su, Chuan Zhou, Quan Z. Sheng, Leman Akoglu, Charu Aggarwal

AAAI 2022 Graph Structure Learning with Variational Information Bottleneck Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S. Yu

AAAI 2021 Adversarial Directed Graph Embedding Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He

ICLR 2021 Deep Encoder, Shallow Decoder: Reevaluating Non-Autoregressive Machine Translation Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah Smith

IJCAI 2021 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

AAAI 2021 Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu

AAAI 2021 KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

JAIR 2021 RWNE: A Scalable Random-Walk Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved Jianxin Li, Cheng Ji, Hao Peng, Yu He, Yangqiu Song, Xinmiao Zhang, Fanzhang Peng

ICLR 2021 Random Feature Attention Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah Smith, Lingpeng Kong

ICCVW 2021 Sparse Feature Representation Learning for Deep Face Gender Transfer Xudong Liu, Ruizhe Wang, Hao Peng, Minglei Yin, Chih-Fan Chen, Xin Li

IJCAI 2021 TextGTL: Graph-Based Transductive Learning for Semi-Supervised Text Classification via Structure-Sensitive Interpolation Chen Li, Xutan Peng, Hao Peng, Jianxin Li, Lihong Wang

NeurIPS 2020 Kalman Filtering Attention for User Behavior Modeling in CTR Prediction Hu Liu, Jing Lu, Xiwei Zhao, Sulong Xu, Hao Peng, Yutong Liu, Zehua Zhang, Jian Li, Junsheng Jin, Yongjun Bao, Weipeng Yan

AAAI 2020 Motif-Matching Based Subgraph-Level Attentional Convolutional Network for Graph Classification Hao Peng, Jianxin Li, Qiran Gong, Yuanxing Ning, Senzhang Wang, Lifang He

CVPRW 2020 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

CVPRW 2020 Residual Pixel Attention Network for Spectral Reconstruction from RGB Images Hao Peng, Xiaomei Chen, Jie Zhao

IJCAI 2019 Aspect-Based Sentiment Classification with Attentive Neural Turing Machines Qianren Mao, Jianxin Li, Senzhang Wang, Yuanning Zhang, Hao Peng, Min He, Lihong Wang

IJCAI 2019 Fine-Grained Event Categorization with Heterogeneous Graph Convolutional Networks Hao Peng, Jianxin Li, Qiran Gong, Yangqiu Song, Yuanxing Ning, Kunfeng Lai, Philip S. Yu

CVPRW 2019 Understanding Beauty via Deep Facial Features Xudong Liu, Tao Li, Hao Peng, Iris Chuoying Ouyang, Taehwan Kim, Ruizhe Wang

IJCAI 2018 Time-Evolving Text Classification with Deep Neural Networks Yu He, Jianxin Li, Yangqiu Song, Mutian He, Hao Peng

ICML 2017 Asynchronous Distributed Variational Gaussian Process for Regression Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi

AAAI 2017 Incrementally Learning the Hierarchical SoftMax Function for Neural Language Models Hao Peng, Jianxin Li, Yangqiu Song, Yaopeng Liu

ICML 2016 A Convolutional Attention Network for Extreme Summarization of Source Code Miltiadis Allamanis, Hao Peng, Charles Sutton

IJCAI 2015 EigenGP: Gaussian Process Models with Adaptive Eigenfunctions Hao Peng, Yuan Qi