Chen, Liang

64 publications

ICLR 2025 A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang

ICLRW 2025 ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code Xiangru Tang, Yuliang Liu, Zefan Cai, Daniel Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, Shuzheng Si, Chen Sheng, Haozhe Zhao, Liang Chen, Tianyu Liu, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Zhiwei Jiang, Baobao Chang, Arman Cohan, Mark Gerstein

ICML 2025 Measuring Diversity in Synthetic Datasets Yuchang Zhu, Huizhe Zhang, Bingzhe Wu, Jintang Li, Zibin Zheng, Peilin Zhao, Liang Chen, Yatao Bian

CVPR 2025 Medusa: A Multi-Scale High-Order Contrastive Dual-Diffusion Approach for Multi-View Clustering Liang Chen, Zhe Xue, Yawen Li, Meiyu Liang, Yan Wang, Anton van den Hengel, Yuankai Qi

ICML 2025 NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao

ICLR 2025 Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang

ICCV 2025 One Last Attention for Your Vision-Language Model Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen

ICLR 2025 PEARL: Towards Permutation-Resilient LLMs Liang Chen, Li Shen, Yang Deng, Xiaoyan Zhao, Bin Liang, Kam-Fai Wong

IJCAI 2025 RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular Semantic Task Framework Limei Lin, Jinpeng Xu, Xiaoding Wang, Liang Chen, Sun-Yuan Hsieh, Jie Wu

ICML 2025 SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services Hongcheng Guo, Yue Wang, Shaosheng Cao, Fei Zhao, Boyang Wang, Lei Li, Liang Chen, Xinze Lyu, Zhe Xu, Yao Hu, Zhoujun Li

NeurIPS 2025 SuperGPQA: Scaling LLM Evaluation Across 285 Graduate Disciplines Xeron Du, Yifan Yao, Kaijing Ma, Bingli Wang, Tianyu Zheng, King Zhu, Minghao Liu, Yiming Liang, Xiaolong Jin, Zhenlin Wei, Chujie Zheng, Kaixin Deng, Shuyue Guo, Shian Jia, Sichao Jiang, Yiyan Liao, Rui Li, Qinrui Li, Sirun Li, Yizhi Li, Yunwen Li, Dehua Ma, Yuansheng Ni, Haoran Que, Qiyao Wang, Zhoufutu Wen, Siwei Wu, Tianshun Xing, 许明, Zhenzhu Yang, Zekun Moore Wang, Junting Zhou, Yuelin Bai, Xingyuan Bu, Chenglin Cai, Liang Chen, Yifan Chen, Cheng Chengtuo, Tianhao Cheng, Keyi Ding, Siming Huang, Huang Yun, Yaoru Li, Yizhe Li, Zhaoqun Li, Tianhao Liang, Chengdong Lin, Hongquan Lin, Yinghao Ma, Z.Y. Peng, Zifan Peng, Qige Qi, Shi Qiu, Xingwei Qu, Shanghaoran Quan, Yizhou Tan, Zili Wang, 王晨清, Hao Wang, Yiya Wang, Yubo Wang, Jiajun Xu, Kexin Yang, Ruibin Yuan, Yuanhao Yue, Tianyang Zhan, Chun Zhang, Jinyang Zhang, Xiyue Zhang, Owen Xingjian Zhang, Yue Zhang, Yongchi Zhao, Xiangyu Zheng, ChenghuaZhong, Yang Gao, Zhoujun Li, Dayiheng Liu, Qian Liu, Tianyu Liu, Shiwen Ni, Junran Peng, Yujia Qin, Wenbo Su, Guoyin Wang, Shi Wang, Jian Yang, Min Yang, Meng Cao, Xiang Yue, Zhaoxiang Zhang, Wangchunshu Zhou, Jiaheng Liu, Qunshu Lin, Wenhao Huang, Ge Zhang

ICML 2025 Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

ICLR 2024 A Graph Is Worth 1-Bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen

ECCV 2024 An Image Is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang

IJCAI 2024 Distribution-Independent Cell Type Identification for Single-Cell RNA-Seq Data Yuyao Zhai, Liang Chen, Minghua Deng

NeurIPS 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu

CVPRW 2024 LGFN: Lightweight Light Field Image Super-Resolution Using Local Convolution Modulation and Global Attention Feature Extraction Zhongxin Yu, Liang Chen, Zhiyun Zeng, Kunping Yang, Shaofei Luo, Shaorui Chen, Cheng Zhong

ICLR 2024 MMICL: Empowering Vision-Language Model with Multi-Modal In-Context Learning Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang

ICML 2024 Parameter-Efficient Fine-Tuning with Discrete Fourier Transform Ziqi Gao, Qichao Wang, Aochuan Chen, Zijing Liu, Bingzhe Wu, Liang Chen, Jia Li

NeurIPSW 2024 Parrot: Autoregressive Spoken Dialogue Language Modeling with Decoder-Only Transformers Ziqiao Meng, Qichao Wang, Wenqian Cui, Yifei Zhang, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao

ICLRW 2024 Simple Permutations Can Fool Llama: Permutation Attack and Defense for Large Language Models Liang Chen, Yatao Bian, Li Shen, Kam-Fai Wong

NeurIPS 2024 State Space Models on Temporal Graphs: A First-Principles Study Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng

ECCVW 2024 The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

NeurIPS 2024 UltraEdit: Instruction-Based Fine-Grained Image Editing at Scale Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang

AAAI 2024 VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang, Shasha Huang, Hongsheng Chen, Sixiang Chen

ICLRW 2024 WatME: Towards Lossless Watermarking Through Lexical Redundancy Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong

CVPRW 2023 Cross-View Hierarchy Network for Stereo Image Super-Resolution Wenbin Zou, Hongxia Gao, Liang Chen, Yunchen Zhang, Mingchao Jiang, Zhongxin Yu, Ming Tan

ICCV 2023 Domain Generalization via Rationale Invariance Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu

AAAI 2023 Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data Yuyao Zhai, Liang Chen, Minghua Deng

CVPR 2023 Improved Test-Time Adaptation for Domain Generalization Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu

NeurIPS 2023 On the Pareto Front of Multilingual Neural Machine Translation Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang

IJCAI 2023 Realistic Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data Yuyao Zhai, Liang Chen, Minghua Deng

IJCAI 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

AAAI 2023 Scaling up Dynamic Graph Representation Learning via Spiking Neural Networks Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng

ACML 2023 Single Image Super-Resolution Based on Non-Subsampled Shearlet Transform Ming Tan, Liang Chen, Xuan Wu, Yi Wu

NeurIPSW 2023 Towards End-to-End Embodied Decision Making with Multi-Modal Large Language Model: Explorations with GPT4-Vision and Beyond Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Tianyu Liu, Baobao Chang

NeurIPS 2023 Towards Hybrid-Grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

ECCV 2022 CAR: Class-Aware Regularizations for Semantic Segmentation Ye Huang, Di Kang, Liang Chen, Xuefei Zhe, Wenjing Jia, Linchao Bao, Xiangjian He

AAAI 2022 Evidential Neighborhood Contrastive Learning for Universal Domain Adaptation Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

CVPR 2022 Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

NeurIPS 2022 Large-Batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo

AAAI 2022 Mutual Nearest Neighbor Contrast and Hybrid Prototype Self-Training for Universal Domain Adaptation Liang Chen, Qianjin Du, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng

AAAI 2022 Neighborhood Consensus Contrastive Learning for Backward-Compatible Representation Shengsen Wu, Liang Chen, Yihang Lou, Yan Bai, Tao Bai, Minghua Deng, Ling-Yu Duan

NeurIPS 2022 OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu

ECCV 2022 Perceiving and Modeling Density for Image Dehazing Tian Ye, Yunchen Zhang, Mingchao Jiang, Liang Chen, Yun Liu, Sixiang Chen, Erkang Chen

CVPRW 2022 Self-Calibrated Efficient Transformer for Lightweight Super-Resolution Wenbin Zou, Tian Ye, Weixin Zheng, Yunchen Zhang, Liang Chen, Yi Wu

CVPR 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

IJCAI 2022 Spiking Graph Convolutional Networks Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo

CVPR 2021 Blind Deblurring for Saturated Images Liang Chen, Jiawei Zhang, Songnan Lin, Faming Fang, Jimmy S. Ren

CVPR 2021 Learning a Non-Blind Deblurring Network for Night Blurry Images Liang Chen, Jiawei Zhang, Jinshan Pan, Songnan Lin, Faming Fang, Jimmy S. Ren

AAAI 2021 Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui

ICCVW 2021 SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring Wenbin Zou, Mingchao Jiang, Yunchen Zhang, Liang Chen, Zhiyong Lu, Yi Wu

IJCAI 2021 Secure Deep Graph Generation with Link Differential Privacy Carl Yang, Haonan Wang, Ke Zhang, Liang Chen, Lichao Sun

IJCAI 2021 Understanding Structural Vulnerability in Graph Convolutional Networks Liang Chen, Jintang Li, Qibiao Peng, Yang Liu, Zibin Zheng, Carl Yang

ECCVW 2020 AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, P. S Hrishikesh, Densen Puthussery, C. V. Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni

ECCV 2020 Enhanced Sparse Model for Blind Deblurring Liang Chen, Faming Fang, Shen Lei, Fang Li, Guixu Zhang

CVPRW 2020 MSFSR: A Multi-Stage Face Super-Resolution with Accurate Facial Representation via Enhanced Facial Boundaries Yunchen Zhang, Yi Wu, Liang Chen

ECCV 2020 OID: Outlier Identifying and Discarding in Blind Image Deblurring Liang Chen, Faming Fang, Jiawei Zhang, Jun Liu, Guixu Zhang

IJCAI 2019 Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng

ICML 2018 Learning Semantic Representations for Unsupervised Domain Adaptation Shaoan Xie, Zibin Zheng, Liang Chen, Chuan Chen

WACV 2016 MIDI-Assisted Egocentric Optical Music Recognition Liang Chen, Kun Duan

CVPR 2014 Dual Linear Regression Based Classification for Face Cluster Recognition Liang Chen

ECCV 2012 Displacement Template with Divide-&-Conquer Algorithm for Significantly Improving Descriptor Based Face Recognition Approaches Liang Chen, Ling Yan, Yonghuai Liu, Lixin Gao, Xiaoqin Zhang

AAAI 1997 Mulitmodal Interaction for Distributed Interactive Simulation Philip R. Cohen, Michael Johnston, David McGee, Sharon L. Oviatt, Jay Pittman, Ira A. Smith, Liang Chen, Josh Clow