Chaochao Lu

According to our database, Chaochao Lu authored at least 83 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

EvoDefense: Co-Evolving Black-Box Defense with Large Language Models.

Yu Li, Yuenan Hou, Yingmei Wei, Yanming Guo, Chaochao Lu

CoRR, May, 2026

TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking.

Churui Zeng, Weiwei Qi, Kedong Xiu, Tianhang Zheng, Chaochao Lu, Liang He, Zhan Qin, Kui Ren

CoRR, May, 2026

Harmony in Diversity: Multi-domain Contrastive Policy Optimization for Large Reasoning Models.

Zongji Yu, Wenshui Luo, Yiliu Sun, Hao Fang, Runmin Cong, Chaochao Lu, Chen Gong

CoRR, May, 2026

Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals.

Sirui Chen, Lei Xu, Yuying Zhao, Yutian Chen, Yu Wang, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu

CoRR, May, 2026

REFLECTOR: Internalizing Step-wise Reflection against Indirect Jailbreak.

Jiachen Ma, Jiawen Zhang, Xiangtian Li, Bo Zou, Chaochao Lu, Chao Yang

CoRR, May, 2026

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories.

Dongcheng Zhang, Yi Zhang, Yuxin Chen, An Zhang, Xiang Wang, Chaochao Lu

CoRR, May, 2026

Internalizing Safety Understanding in Large Reasoning Models via Verification.

Yi Zhang, Yuxin Chen, Leheng Sheng, Dongcheng Zhang, Chaochao Lu, Xiang Wang, An Zhang

CoRR, May, 2026

Not All Turns Matter: Credit Assignment for Multi-Turn Jailbreaking.

Zhida He, Xiaoyu Wen, Han Qi, Ziyuan Zhou, Peng Yu, Xingcheng Xu, Dongrui Liu, Xia Hu, Chaochao Lu, Qiaosheng Zhang

CoRR, May, 2026

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios.

Qiucheng Yu, Ruijie Xu, Mingang Chen, Xuequan Lu, Jianfeng Dong, Chaochao Lu, Xin Tan

CoRR, March, 2026

To Deceive is to Teach? Forging Perceptual Robustness via Adversarial Reinforcement Learning.

Yicheng Bao, Xuhong Wang, Qiaosheng Zhang, Chaochao Lu, Xia Hu, Xin Tan

CoRR, February, 2026

Epistemic Traps: Rational Misalignment Driven by Model Misspecification.

Xingcheng Xu, Jingjing Qu, Qiaosheng Zhang, Chaochao Lu, Yanqing Yang, Na Zou, Xia Hu

CoRR, February, 2026

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5.

Dongrui Liu, Yi Yu, Jie Zhang, Guanxu Chen, Qihao Lin, Hanxi Zhu, Lige Huang, Yijin Zhou, Peng Wang, Shuai Shao, Boxuan Zhang, Zicheng Liu, Jingwei Sun, Yu Li, Yuejin Xie, Jiaxuan Guo, Jia Xu, Chaochao Lu, Bowen Zhou, Xia Hu, Jing Shao

CoRR, February, 2026

Native Reasoning Models: Training Language Models to Reason on Unverifiable Data.

Yuanfu Wang, Zhixuan Liu, Xiangtian Li, Chaochao Lu, Chao Yang

CoRR, February, 2026

Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference.

Wenxuan Xie, Yujia Wang, Xin Tan, Chaochao Lu, Xia Hu, Xuhong Wang

CoRR, February, 2026

CauScale: Neural Causal Discovery at Scale.

Bo Peng, Sirui Chen, Jiaguo Tian, Yu Qiao, Chaochao Lu

CoRR, February, 2026

Can Post-Training Transform LLMs into Causal Reasoners?

Junqi Chen, Sirui Chen, Chaochao Lu

CoRR, February, 2026

HoliAntiSpoof: Audio LLM for Holistic Speech Anti-Spoofing.

Xuenan Xu, Yiming Ren, Liwei Liu, Wen Wu, Baoxiang Li, Chaochao Lu, Shuai Wang, Chao Zhang

CoRR, February, 2026

Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment.

Jingnan Zheng, Yanzhen Luo, Jingjun Xu, Bingnan Liu, Yuxin Chen, Chenhang Cui, Gelei Deng, Chaochao Lu, Xiang Wang, An Zhang, Tat-Seng Chua

CoRR, February, 2026

MAGIC: A Co-Evolving Attacker-Defender Adversarial Game for Robust LLM Safety.

Xiaoyu Wen, Zhida He, Han Qi, Ziyu Wan, Zhongtian Ma, Ying Wen, Tianhang Zheng, Xingcheng Xu, Chaochao Lu, Qiaosheng Zhang

CoRR, February, 2026

CauScientist: Teaching LLMs to Respect Data for Causal Discovery.

Bo Peng, Sirui Chen, Lei Xu, Chaochao Lu

CoRR, January, 2026

KALE: Enhancing Knowledge Manipulation in Large Language Models via Knowledge-aware Learning.

Qitan Lv, Tianyu Liu, Qiaosheng Zhang, Xingcheng Xu, Chaochao Lu

CoRR, January, 2026

SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks.

Yuze Liu, Chaochao Lu, Chao Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DEPO: Dual-Efficiency Preference Optimization for LLM Agents.

Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

X-Talk: On the Underestimated Potential of Modular Speech-to-Speech Dialogue System.

Zhanxun Liu, Yifan Duan, Mengmeng Wang, Pengchao Feng, Haotian Zhang, Xiaoyu Xing, Yijia Shan, Haina Zhu, Yuhang Dai, Chaochao Lu, Xipeng Qiu, Lei Xie, Lan Wang, Nan Yan, Zilong Zheng, Ziyang Ma, Kai Yu, Xie Chen

CoRR, December, 2025

LINA: Learning INterventions Adaptively for Physical Alignment and Generalization in Diffusion Models.

Shu Yu, Chaochao Lu

CoRR, December, 2025

Think-Reflect-Revise: A Policy-Guided Reflective Framework for Safety Alignment in Large Vision Language Models.

Fenghua Weng, Chaochao Lu, Xia Hu, Wenqi Shao, Wenjie Wang

CoRR, December, 2025

CauSight: Learning to Supersense for Visual Causal Discovery.

Yize Zhang, Meiqi Chen, Sirui Chen, Bo Peng, Yanxi Zhang, Tianyu Li, Chaochao Lu

CoRR, December, 2025

MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Risks in LLMs on Domain Tasks.

Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He

CoRR, November, 2025

UniCoD: Enhancing Robot Policy via Unified Continuous and Discrete Representation Learning.

Jianke Zhang, Yucheng Hu, Yanjiang Guo, Xiaoyu Chen, Yichen Liu, Wenna Chen, Chaochao Lu, Jianyu Chen

CoRR, October, 2025

Causal-Adapter: Taming Text-to-Image Diffusion for Faithful Counterfactual Generation.

Lei Tong, Zhihua Liu, Chaochao Lu, Dino Oglic, Tom Diethe, Philip Teare, Sotirios A. Tsaftaris, Chen Jin

CoRR, September, 2025

R²AI: Towards Resistant and Resilient AI in an Evolving World.

Youbang Sun, Xiang Wang, Jie Fu, Chaochao Lu, Bowen Zhou

CoRR, September, 2025

Interpreting Low-Level Vision Models With Causal Effect Maps.

Jinfan Hu, Jinjin Gu, Shiyao Yu, Fanghua Yu, Zheyuan Li, Zhiyuan You, Chaochao Lu, Chao Dong

IEEE Trans. Pattern Anal. Mach. Intell., August, 2025

VRPRM: Process Reward Modeling via Visual Reasoning.

Xinquan Chen, Bangwei Liu, Xuhong Wang, Yingchun Wang, Chaochao Lu

CoRR, August, 2025

Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report.

Xiaoyang Chen, Yunhao Chen, Zeren Chen, Zhiyun Chen, Hanyun Cui, Yawen Duan, Jiaxuan Guo, Qi Guo, Xuhao Hu, Hong Huang, Lige Huang, Chunxiao Li, Juncheng Li, Qihao Lin, Dongrui Liu, Xinmin Liu, Zicheng Liu, Chaochao Lu, Xiaoya Lu, Jingjing Qu, Qibing Ren, Jing Shao, Jingwei Shi, Jingwei Sun, Peng Wang, Weibing Wang, Jia Xu, Lewen Yan, Xiao Yu, Yi Yu, Boxuan Zhang, Jie Zhang, Weichen Zhang, Zhijie Zheng, Tianyi Zhou, Bowen Zhou

CoRR, July, 2025

The Devil behind the mask: An emergent safety vulnerability of Diffusion LLMs.

Zichen Wen, Jiashu Qu, Dongrui Liu, Zhiyuan Liu, Ruixi Wu, Yicun Yang, Xiangqi Jin, Haoyun Xu, Xuyang Liu, Weijia Li, Chaochao Lu, Jing Shao, Conghui He, Linfeng Zhang

CoRR, July, 2025

Epitome: Pioneering an Experimental Platform for AI-Social Science Integration.

Jingjing Qu, Kejia Hu, Jun Zhu, Wenhao Li, Teng Wang, Zhiyun Chen, Yulei Ye, Chaochao Lu, Aimin Zhou, Xiangfeng Wang, James Evans

CoRR, July, 2025

The Singapore Consensus on Global AI Safety Research Priorities.

Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic

CoRR, June, 2025

RePO: Replay-Enhanced Policy Optimization.

Siheng Li, Zhanhui Zhou, Wai Lam, Chao Yang, Chaochao Lu

CoRR, June, 2025

SafeCoT: Improving VLM Safety with Minimal Reasoning.

Jiachen Ma, Zhanhui Zhou, Chao Yang, Chaochao Lu

CoRR, June, 2025

Synthesis by Design: Controlled Data Generation via Structural Guidance.

Lei Xu, Sirui Chen, Yuxuan Huang, Chaochao Lu

CoRR, June, 2025

Mitigating Object Hallucination via Robust Local Perception Search.

Zixian Gao, Chao Yang, Zhanhui Zhou, Xing Xu, Chaochao Lu

CoRR, June, 2025

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback.

Xiaoying Zhang, Hao Sun, Yipeng Zhang, Kaituo Feng, Chaochao Lu, Chao Yang, Helen Meng

CoRR, June, 2025

Exploring Consciousness in LLMs: A Systematic Survey of Theories, Implementations, and Frontier Risks.

Sirui Chen, Shuqin Ma, Shu Yu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu

CoRR, May, 2025

Bare Minimum Mitigations for Autonomous AI Development.

Joshua Clymer, Isabella Duan, Chris Cundy, Yawen Duan, Fynn Heide, Chaochao Lu, Sören Mindermann, Conor McGurk, Xudong Pan, Saad Siddiqui, Jingren Wang, Min Yang, Xianyuan Zhan

CoRR, April, 2025

A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond.

Xiaoye Qu, Yafu Li, Zhaochen Su, Weigao Sun, Jianhao Yan, Dongrui Liu, Ganqu Cui, Daizong Liu, Shuxian Liang, Junxian He, Peng Li, Wei Wei, Jing Shao, Chaochao Lu, Yue Zhang, Xian-Sheng Hua, Bowen Zhou, Yu Cheng

CoRR, March, 2025

Emergent Response Planning in LLM.

Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu

CoRR, February, 2025

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

CoRR, February, 2025

VLMs can Aggregate Scattered Training Patches.

Zhanhui Zhou, Lingjie Chen, Chao Yang, Chaochao Lu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Video Prediction Policy: A Generalist Robot Policy with Predictive Visual Representations.

Yucheng Hu, Yanjiang Guo, Pengchao Wang, Xiaoyu Chen, Yen-Jen Wang, Jianke Zhang, Koushil Sreenath, Chaochao Lu, Jianyu Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?

Yujin Han, Andi Han, Wei Huang, Chaochao Lu, Difan Zou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Emergent Response Planning in LLMs.

Zhichen Dong, Zhanhui Zhou, Zhixuan Liu, Chao Yang, Chaochao Lu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

ADAM: An Embodied Causal Agent in Open-World Environments.

Shu Yu, Chaochao Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Beyond Surface Structure: A Causal Assessment of LLMs' Comprehension ability.

Yujin Han, Lei Xu, Sirui Chen, Difan Zou, Chaochao Lu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval.

Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data.

Bo Peng, Zhiheng Wang, Heyang Gong, Chaochao Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search.

Yize Zhang, Tianshu Wang, Sirui Chen, Kun Wang, Xingyu Zeng, Hongyu Lin, Xianpei Han, Le Sun, Chaochao Lu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Adversarial Preference Learning for Robust LLM Alignment.

Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

From Imitation to Introspection: Probing Self-Consciousness in Language Models.

Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Towards AI-45° Law: A Roadmap to Trustworthy AGI.

Chao Yang, Chaochao Lu, Yingchun Wang, Bowen Zhou

CoRR, 2024

OASIS: Open Agent Social Interaction Simulations with One Million Agents.

Ziyi Yang, Zaibin Zhang, Zirui Zheng, Yuxian Jiang, Ziyue Gan, Zhiyu Wang, Zijian Ling, Jinsong Chen, Martz Ma, Bowen Dong, Prateek Gupta, Shuyue Hu, Zhenfei Yin, Guohao Li, Xu Jia, Lijun Wang, Bernard Ghanem, Huchuan Lu, Chaochao Lu, Wanli Ouyang, Yu Qiao, Philip Torr, Jing Shao

CoRR, 2024

Causal Evaluation of Language Models.

Sirui Chen, Bo Peng, Meiqi Chen, Ruiqi Wang, Mengying Xu, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Yu Qiao, Chaochao Lu

CoRR, 2024

Distribution-consistency Structural Causal Models.

Heyang Gong, Chaochao Lu, Yu Zhang

CoRR, 2024

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities.

Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang

CoRR, 2024

Prediction with Action: Visual Policy Learning via Joint Denoising Process.

Yanjiang Guo, Yucheng Hu, Jianke Zhang, Yen-Jen Wang, Xiaoyu Chen, Chaochao Lu, Jianyu Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CLEAR: Can Language Models Really Understand Causal Graphs?

Sirui Chen, Mengying Xu, Kun Wang, Xingyu Zeng, Rui Zhao, Shengjie Zhao, Chaochao Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

CELLO: Causal Evaluation of Large Vision-Language Models.

Meiqi Chen, Bo Peng, Yan Zhang, Chaochao Lu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspective.

Meiqi Chen, Yixin Cao, Yan Zhang, Chaochao Lu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation.

Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

ConditionVideo: Training-Free Condition-Guided Video Generation.

Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation.

Bo Peng, Xinyuan Chen, Yaohui Wang, Chaochao Lu, Yu Qiao

CoRR, 2023

InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding.

Junda Wu, Tong Yu, Rui Wang, Zhao Song, Ruiyi Zhang, Handong Zhao, Chaochao Lu, Shuai Li, Ricardo Henao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning.

Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu, Shuai Li, Ricardo Henao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Action-Sufficient State Representation Learning for Control with Structural Constraints.

Biwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang

Proceedings of the International Conference on Machine Learning, 2022

Invariant Causal Representation Learning for Out-of-Distribution Generalization.

Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf

Proceedings of the Tenth International Conference on Learning Representations, 2022

AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning.

Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Nonlinear Invariant Risk Minimization: A Causal Approach.

Chaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf

CoRR, 2021

2020

Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation.

Chaochao Lu, Biwei Huang, Ke Wang, José Miguel Hernández-Lobato, Kun Zhang, Bernhard Schölkopf

CoRR, 2020

Interpreting Spatially Infinite Generative Models.

Chaochao Lu, Richard E. Turner, Yingzhen Li, Nate Kushman

CoRR, 2020

2018

Deconfounding Reinforcement Learning in Observational Settings.

Chaochao Lu, Bernhard Schölkopf, José Miguel Hernández-Lobato

CoRR, 2018

2017

Flexible Spatio-Temporal Networks for Video Prediction.

Chaochao Lu, Michael Hirsch, Bernhard Schölkopf

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

Surpassing Human-Level Face Verification Performance on LFW with GaussianFace.

Chaochao Lu, Xiaoou Tang

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Learning the Face Prior for Bayesian Face Recognition.

Chaochao Lu, Xiaoou Tang

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Face Recognition Using Face Patch Networks.

Chaochao Lu, Deli Zhao, Xiaoou Tang

Proceedings of the IEEE International Conference on Computer Vision, 2013