Huang, Jing

40 publications

AAAI 2025 A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes Qingmei Wang, Yuxin Wu, Yujie Long, Jing Huang, Fengyuan Ran, Bing Su, Hongteng Xu

ICML 2025 AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders Zhengxuan Wu, Aryaman Arora, Atticus Geiger, Zheng Wang, Jing Huang, Dan Jurafsky, Christopher D Manning, Christopher Potts

NeurIPS 2025 Blackbox Model Provenance via Palimpsestic Membership Inference Rohith Kuditipudi, Jing Huang, Sally Zhu, Diyi Yang, Christopher Potts, Percy Liang

JMLR 2025 Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability Atticus Geiger, Duligur Ibeling, Amir Zur, Maheep Chaudhary, Sonakshi Chauhan, Jing Huang, Aryaman Arora, Zhengxuan Wu, Noah Goodman, Christopher Potts, Thomas Icard

ICCV 2025 Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection Yingsong Huang, Hui Guo, Jing Huang, Bing Bai, Qi Xiong

ICLR 2025 HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks Jiuding Sun, Jing Huang, Sidharth Baskaran, Karel D'Oosterlinck, Christopher Potts, Michael Sklar, Atticus Geiger

ICCV 2025 INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling Xin Dong, Shichao Dong, Jin Wang, Jing Huang, Li Zhou, Zenghui Sun, Lihua Jing, Jinsong Lan, Xiaoyong Zhu, Bo Zheng

ICML 2025 Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors Jing Huang, Junyi Tao, Thomas Icard, Diyi Yang, Christopher Potts

NeurIPS 2025 LLMs Encode Harmfulness and Refusal Separately Jiachen Zhao, Jing Huang, Zhengxuan Wu, David Bau, Weiyan Shi

ICML 2025 MIB: A Mechanistic Interpretability Benchmark Aaron Mueller, Atticus Geiger, Sarah Wiegreffe, Dana Arad, Iván Arcuschin, Adam Belfki, Yik Siu Chan, Jaden Fried Fiotto-Kaufman, Tal Haklay, Michael Hanna, Jing Huang, Rohan Gupta, Yaniv Nikankin, Hadas Orgad, Nikhil Prakash, Anja Reusch, Aruna Sankaranarayanan, Shun Shao, Alessandro Stolfo, Martin Tutek, Amir Zur, David Bau, Yonatan Belinkov

AAAI 2025 MoLE: Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models Tian Liang, Yuetian Du, Jing Huang, Ming Kong, Luyuan Chen, Yadong Li, Siye Chen, Qiang Zhu

ICCV 2025 RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters Xiaolin Liu, Tianyi Zhou, Hongbo Kang, Jian Ma, Ziwen Wang, Jing Huang, Wenguo Weng, Yu-Kun Lai, Kun Li

CVPR 2024 Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives Kristen Grauman, Andrew Westbury, Lorenzo Torresani, Kris Kitani, Jitendra Malik, Triantafyllos Afouras, Kumar Ashutosh, Vijay Baiyya, Siddhant Bansal, Bikram Boote, Eugene Byrne, Zach Chavis, Joya Chen, Feng Cheng, Fu-Jen Chu, Sean Crane, Avijit Dasgupta, Jing Dong, Maria Escobar, Cristhian Forigua, Abrham Gebreselasie, Sanjay Haresh, Jing Huang, Md Mohaiminul Islam, Suyog Jain, Rawal Khirodkar, Devansh Kukreja, Kevin J Liang, Jia-Wei Liu, Sagnik Majumder, Yongsen Mao, Miguel Martin, Effrosyni Mavroudi, Tushar Nagarajan, Francesco Ragusa, Santhosh Kumar Ramakrishnan, Luigi Seminara, Arjun Somayazulu, Yale Song, Shan Su, Zihui Xue, Edward Zhang, Jinxu Zhang, Angela Castillo, Changan Chen, Xinzhu Fu, Ryosuke Furuta, Cristina Gonzalez, Prince Gupta, Jiabo Hu, Yifei Huang, Yiming Huang, Weslie Khoo, Anush Kumar, Robert Kuo, Sach Lakhavani, Miao Liu, Mi Luo, Zhengyi Luo, Brighid Meredith, Austin Miller, Oluwatumininu Oguntola, Xiaqing Pan, Penny Peng, Shraman Pramanick, Merey Ramazanova, Fiona Ryan, Wei Shan, Kiran Somasundaram, Chenan Song, Audrey Southerland, Masatoshi Tateno, Huiyu Wang, Yuchen Wang, Takuma Yagi, Mingfei Yan, Xitong Yang, Zecheng Yu, Shengxin Cindy Zha, Chen Zhao, Ziwei Zhao, Zhifan Zhu, Jeff Zhuo, Pablo Arbelaez, Gedas Bertasius, Dima Damen, Jakob Engel, Giovanni Maria Farinella, Antonino Furnari, Bernard Ghanem, Judy Hoffman, C.V. Jawahar, Richard Newcombe, Hyun Soo Park, James M. Rehg, Yoichi Sato, Manolis Savva, Jianbo Shi, Mike Zheng Shou, Michael Wray

WACV 2024 HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta, Kevin J. Liang, Jing Huang, Fu-Jen Chu, Li Yin, Tal Hassner

CVPR 2024 Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model Tian Liang, Jing Huang, Ming Kong, Luyuan Chen, Qiang Zhu

ICLR 2024 Universal Humanoid Motion Representations for Physics-Based Control Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris M. Kitani, Weipeng Xu

CVPR 2023 Crowd3D: Towards Hundreds of People Reconstruction from a Single Image Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li

IJCAI 2023 Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang

ICCV 2023 Self-Supervised Object Detection from Egocentric Videos Peri Akiva, Jing Huang, Kevin J Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin Dana, Tal Hassner

ACML 2023 Temporal RPN Learning for Weakly-Supervised Temporal Action Localization Jing Huang, Ming Kong, Luyuan Chen, Tian Liang, Qiang Zhu

CVPR 2022 PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang

ECCVW 2022 Task Grouping for Multilingual Text Recognition Jing Huang, Kevin J. Liang, Rama Kovvuri, Tal Hassner

NeurIPS 2022 Tight Mutual Information Estimation with Contrastive Fenchel-Legendre Optimization Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Larry Carin, Fan Li, Chenyang Tao

CVPR 2021 A Multiplexed Network for End-to-End, Multilingual OCR Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J Liang, Praveen Krishnan, Xi Yin, Tal Hassner

AAAI 2021 Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling Wenxuan Zhou, Kevin Huang, Tengyu Ma, Jing Huang

CVPR 2021 Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu

IJCAI 2021 Multi-Hop Attention Graph Neural Networks Guangtao Wang, Rex Ying, Jing Huang, Jure Leskovec

CVPR 2021 TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text Amanpreet Singh, Guan Pang, Mandy Toh, Jing Huang, Wojciech Galuba, Tal Hassner

IJCAI 2021 UniGNN: A Unified Framework for Graph and Hypergraph Neural Networks Jing Huang, Jie Yang

ICLR 2020 Improving Neural Language Generation with Spectrum Control Lingxiao Wang, Jing Huang, Kevin Huang, Ziniu Hu, Guangtao Wang, Quanquan Gu

ECCV 2020 Mask TextSpotter V3: Segmentation Proposal Network for Robust Scene Text Spotting Minghui Liao, Guan Pang, Jing Huang, Tal Hassner, Xiang Bai

AAAI 2020 Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents Ming Tu, Kevin Huang, Guangtao Wang, Jing Huang, Xiaodong He, Bowen Zhou

AAAI 2020 Zero-Shot Text-to-SQL Learning with Auxiliary Task Shuaichen Chang, Pengfei Liu, Yun Tang, Jing Huang, Xiaodong He, Bowen Zhou

AAAI 2019 End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion Chao Shang, Yun Tang, Jing Huang, Jinbo Bi, Xiaodong He, Bowen Zhou

CVPRW 2018 DeepGlobe 2018: A Challenge to Parse the Earth Through Satellite Images Ilke Demir, Krzysztof Koperski, David Lindenbaum, Guan Pang, Jing Huang, Saikat Basu, Forest Hughes, Devis Tuia, Ramesh Raskar

WACV 2015 Change Detection in Laser-Scanned Data of Industrial Sites Jing Huang, Suya You

WACV 2014 Segmentation and Matching: Towards a Robust Object Detection System Jing Huang, Suya You

CVPRW 2012 Point Cloud Matching Based on 3D Self-Similarity Jing Huang, Suya You

ICCV 1998 Spatial Color Indexing and Applications Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu

CVPR 1997 Image Indexing Using Color Correlograms Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih